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- L. Shiva Rama Krishna
- Srinivasa Rao Nandam
- B. K. Mohan
- B. Ravikumar
- K. Hemachandra Reddy
- K. N. Nigam
- B. Sureshkumar Reddy
- A. Krishnaiah
- B. Suresh Kumar Reddy
- D. Nikhil Kumar
- M. Krishna Reddy
- G. Rahul Teja
- M. Nagarjuna
- B. Kishan
- B. Sudheer Prem Kumar
- B. Ravi Kumar
- P. V. K. Chaitanya Kumar
- Hemachandra Reddy
- A. Teja Vardhan
- G. Prakasham
- C. Manoj Kumar
- Kaushik Shankar
- K. Rammadhav
- Colonel Anuj Bindra
- Devesh Kumar
Journals
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Gajanana, S.
- Optimization of Process Parameters of End Milling Process Using Factorial Design of Experiments
Abstract Views :193 |
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Authors
Affiliations
1 Mech Engg Dept, M. V. S. R. Engg., College, Hyderabad, IN
2 Mech Engg. Dept., University College of Engg., Osmania University, Hyderabad, IN
3 Special Fabrication Section, Mech Engg. Group, Kanchanbagh, Hyderabad, IN
1 Mech Engg Dept, M. V. S. R. Engg., College, Hyderabad, IN
2 Mech Engg. Dept., University College of Engg., Osmania University, Hyderabad, IN
3 Special Fabrication Section, Mech Engg. Group, Kanchanbagh, Hyderabad, IN
Source
Manufacturing Technology Today, Vol 12, No 6 (2013), Pagination: 6-14Abstract
Manufacturing managers, schedulers, and engineers constantly try to overcome with the effects of cutting tool selection. Inaccuracy of cutting tool will contribute to poor surface finish, tool damage, chatter, dimensional accuracy and many other problems that contribute to low productivity and much time will be wasted.Some of the important process variables (cutting parameters) that effect the cutting force and surface roughness process are cutting speed, feed depth of cut and nose radius (cutting tool diameter). In order to optimize the output parameters i.e., cutting force, power consumption and surface roughness, the process variables are varied. The design of experiment is the procedure of selecting the number of trails and conditions for running them, essential and sufficient for solving the problem that has been set with the required precision. In the present work two factorial design of experiments (DOE) technique is used in order to find the effect of input parameters on cutting force and surface roughness. In the present work milling process is carried out for the work material EN8 and cutting forces are measured using dynamometers at DMRL. In design of experiments, number of trails to be conducted is determined by factorial method and design matrix is constructed. After getting the design matrix, regression coefficients are calculated. Adequacy of model is tested by fisher test at 5% significance level. Student's t-test is carried out to check the significance of each regression coefficient. Contribution of each factor on output is determined by Analysis of Variance (ANOVA) and using MAT LAB software the optimum values of cutting force and surface roughness corresponding to their process parameters are obtained.Keywords
DOE, ANOVA, Factors, Milling Process, Cutting Force, Surface Roughness.
- Development of Model for Deformation in Water Hammer Forming Process
Abstract Views :201 |
PDF Views:1
Authors
S. Gajanana
1,
B. Ravikumar
1
Affiliations
1 Mech. Engg. Dept., M. V. S. R. Engg. College, Hyderabad, IN
1 Mech. Engg. Dept., M. V. S. R. Engg. College, Hyderabad, IN
Source
Manufacturing Technology Today, Vol 12, No 4 (2013), Pagination: 22-26Abstract
Liqud or Water hammer forming is a non traditional type of forming technique in which a dead weight drop freely from a certain height over a plunger working inside a cylinder containing water or hydraulic fluid generates shock waves which reach the sheet metal kept at a lower part of the cylinder and deforms it to the shape of the die placed below the sheet metal. Some of the important process variables that effect deformation process are the input energy height of the water column and properties of work material. The speed of deformation and pressure generated are quite low comparatively with other unconventional forming processes. The types of components which can be produced by this technique are identical to those made by electro hydraulic method. In the present work full factorial design of experiments (DOE) technique is used in order to find the effect of input parameters on deformation. Contribution of each factor on output is determined by ANOVA ( Analysis of Variance ).Keywords
DOE, ANOVA, Factors, Water Hammer Forming.- Development of Co-Ordinate Retrieval System in CAD for Satellite Component by Shear Forming Process
Abstract Views :212 |
PDF Views:1
Authors
Affiliations
1 M V S R Engg. College, Nadergul, Hyderabad, IN
2 J N T U College of Engg, Anantapur, IN
3 Mechanical Engg Dept, M V S R Engg. College, Nadergul, Hyderabad, IN
1 M V S R Engg. College, Nadergul, Hyderabad, IN
2 J N T U College of Engg, Anantapur, IN
3 Mechanical Engg Dept, M V S R Engg. College, Nadergul, Hyderabad, IN
Source
Manufacturing Technology Today, Vol 12, No 3 (2013), Pagination: 5-9Abstract
Metal forming involves deforming of metal plastically into various derived shapes and sizes under the effect of externally applied forces. Flow forming is an advanced, near net shape, chipless metal forming process, which employs an incremental rotary point deformation technique for manufacturing seamless, dimensionally precise, tubular and other rotationally symmetrical products. In shear forming process deformation is carried out by combination of axial and radial forces using a set of rollers thf coordinate retrieval system using AUTO LISP for bottle neck shaped inner shell cylinder of a missile which is used for a critical space application. The experimentation consists of two stages ,i.e. Flow turning of cone with 36º included angle fromat are simultaneously moved along the length of the rotating preform. The present paper discusses on development o input Size blank of 400 x 400 x 16mm and then Spinning of cone to inner shell cylinder by spinning (3 or 4 Passes). The earlier method of development of component was a manual feeding of coordinates. This involves painstakingly measuring distances in the CAD drawing with reference to the equipment, whose axes are at an angle of 120° to one another. This process of manual retrieval of coordinates to be entered require a laborious 18hrs of operator time for every new trial. Auto Lisp, a standard feature of AutoCAD, which enables us to introduce a special command with customized output. A standard program in Auto Lisp, which gives only the end points of a polyline, was re-written to give coordinates of points at every 1 mm. This developed system brings down operator time per cycle from 18hrs to less than 15 min. and also minimizes the human error. After successful execution of the program the coordinate values thus obtained are used for the development of prototype in copper alloy and also in the development of actual material.Keywords
Metal Spinning, AUTO LISP , Co-Ordinate Retrieval System.- Development of Regression Model Using Lasso for End Milling on AL6061 Alloy
Abstract Views :265 |
PDF Views:7
Authors
Affiliations
1 Dept of Mech Engg, MVSR Engg College, Nadergul, Hyderabad, IN
2 Dept of Mech Engg, CoE, Osmania University, Hyderabad, IN
1 Dept of Mech Engg, MVSR Engg College, Nadergul, Hyderabad, IN
2 Dept of Mech Engg, CoE, Osmania University, Hyderabad, IN
Source
Manufacturing Technology Today, Vol 16, No 9 (2017), Pagination: 3-9Abstract
The development of various non-ferrous materials is increasing at an exponential rate as the usage of non-ferrous materials has seen a greater than before preference over the traditional ferrous metals. Al6061 alloy has become the forerunner and is widely used in various industrial applications. This paper includes the study of machinability properties of Al6061 alloy by performing various experiments under vertical milling machine using HSS end mill cutter. Full-factorial approach was used to conduct the experimentation, a regression model was developed using Least Absolute Shrinkage and Selection Operator (Lasso) between the input parameters and output responses.Keywords
Al6061, Design of Experiments, End Milling, Lasso, Machinability, Regression Analysis.References
- Sivarao, FairuzDimin, T.J.S. Anand, RidzuanJamli and A. Kamely, “Surface Quality Investigation of Al 6061-T6511 Using TiALN Coated Milling Tool”, Inl J of Basic & Applied Sciences IJBAS-IJENS Vol: 10 No: 04.
- Robert Tibshirani, “Regression Shrinkage and Selection via the Lasso”, Journal of the Royal Statistical Society, Series B (Methodological), Volume 58, Issue 1 (1996), 267-288.
- C A Cantrell, “Technical Note: Review of methods for linear least-squares fitting of data and application to atmospheric chemistry problems”, Atmos. Chem. Phys. Vol. 8, 2008.
- Donald W Marquardt and Ronald D Snee, “Ridge Regression in Practice”, The American Statistician, Vol. 29, No. 1, 1975.
- N J D Nagelkerke, “A note on a general definition of the coefficient of determination”, Biometrika, Vol. 78, No. 3, 1991, 691-692.
- Christophe Leys, Christophe Ley, Oliver Klein, Philippe Bernard, Laurent Licata, “Detecting outliers: Do not use standard deviation around the mean, use absolute deviation around the median”, Journal of Experimental Social Psychology, 2013.
- M. K. Pradhan, MayankMeena, ShubhamSen and Arvind Singh, “Multi-Objective Optimization in End Milling of Al-6061 Using Taguchi Based G-PCA”, World Academy of Science, Engg and Technology, Inl J of Mech, Aerospace, Industrial, Mechatronic and Manufacturing Engg Vol: 9, No: 6, 2015.
- Mathew A. Kuttolamadom, Sina Hamzehlouia and M. Laine Mears, “Effect of Machining Feed on Surface Roughness in Cutting 6061 Aluminum”, Clemson University - Int Center for Automotive Research, 2010-01-0218.
- Najiha M.S, M.M. Rahman and A.R. Yusoff, “Modeling of The End Milling Process For Aluminium Alloy Aa6061t6 Using HSS Tool”, Intl Conf on Mech Engg Research (ICMER2013), 1-3 July 2013.
- Prajina N V, T D John, “Multiple Response Optimization of Cutting Forces in End Milling Using Response Surface Methodology and Desirability Function”, Int J of Scientific Research, Vol: 2, Issue: 5, May 2013.
- V. Devkumar, E. Sreedhar, M.P. Prabakaran, “Optimization of machining parameters on AL 6061 alloy using response surface methodology”, Int J of Applied Research 2015; 1(7): 01-04.
- ASM Metals Handbook, Vol: 16.
- S. Madhava Reddy and A. Chennakesava Reddy, “Studies on Process Parameters in End Milling Operations of Aluminium Alloy”, Int J of Engg Research & Technology (IJERT),Vol. 2 Issue 3, March – 2013.
- Gajanana.S (2002), “Development of Mathematical Model for Maximum Punch Force” Proc of National Conf on Advanced Trends in ME Research and Development, JNTU College of Engg, Ananthapur, 21st Dec, 2002.
- Gajanana.S,(2006), “Optimization of Process Parameters for Hero Honda Exhaust Valve using Design of Experiments” Proc of National Conference on Recent Advances in Computer Aided Engg, Osmania University, Hyderabad, March 3rd& 4th , 2006.
- Gajanana.S (2007), “Development of Mathematical Model for EDM Using Two Factorial Design of Experiments” XXIII National Convention of Mech Engineers and National Seminar on ‘Emerging Trends In Manufacturing Systems and Technologies’, Hyderabad, September 10-12, 2007.
- Casting and Metallurgical Analysis of Aluminium-6061
Abstract Views :224 |
PDF Views:2
Authors
Affiliations
1 Dept. of Mechanical Engineering, MVSR Engineering College, Nadergul, Hyderabad, IN
2 Dept. of Mechanical Engineering, CoE, Osmania University, Hyderabad, IN
1 Dept. of Mechanical Engineering, MVSR Engineering College, Nadergul, Hyderabad, IN
2 Dept. of Mechanical Engineering, CoE, Osmania University, Hyderabad, IN
Source
Manufacturing Technology Today, Vol 17, No 2 (2018), Pagination: 15-23Abstract
Aluminium alloys are most extensively used Non-ferrous materials in aircraft and automobile industries. Among the aluminium alloys 6000 series are mostly suitable one by virtue its versability is heat treatment and extrusion capabilities. In the present study the influence of various alloying elements in Al 6061 is undertaken keeping in view the mechanical and metallurgical aspects. Experiments are carried by taguchi philosophy of design experiments. L8 orthogonal array is adapted in selection of compositions of alloying elements for casting specimens and testing is carried to study the mechanical and micro structural properties.Keywords
Al6061, L8 Array.- A Review on Simulation of Multi Pass Spinning Process
Abstract Views :271 |
PDF Views:0
Authors
Affiliations
1 Department of Mechanical Engineering, MVSR Engineering College, Nadergul, Hyderabad, IN
2 Department of Mechanical Engineering, JNTUA, Anantapuram, IN
1 Department of Mechanical Engineering, MVSR Engineering College, Nadergul, Hyderabad, IN
2 Department of Mechanical Engineering, JNTUA, Anantapuram, IN
Source
Manufacturing Technology Today, Vol 17, No 8 (2018), Pagination: 3-6Abstract
Sheet metal spinning process is a plastic working technology and is frequently used for manufacturing axisymmetric shapes. Sheet metal spinning has developed significantly and spun products have widely used for various industrial applications. In the current paper a review is carried on finite element simulation of multi-pass spinning with different path profiles and multi-domain techniques of simulation process. It is also proposed scope for new tool geometries for metal spinning process.Keywords
Metal Spinning, Multi-Pass, Simulation, Multi-Domain.References
- Sebastiani, G; Brosius, A; Homberg, W; Kleiner, M: Process characterization ofsheet metal spinning by means of finite elements. Key Eng Mater, 2007; 334:637–44.
- Lin Wang; Hui Long: Investigation of material deformation in multi-pass conventional metal spinning, 'Materials and Design', 32, 2011, 2891– 2899
- G. Sebastiani, A. Brosius, R. Ewers ,M. Kleiner, C. Klimmekb “Numerical investigation on dynamic effects during sheet metal spinning byexplicit finiteelementanalysis” Journal of Materials Processing Technology 177 (2006) 401–403
- E Quigley and J Monaghan “Finite element modelling of conventional spinning using multi domain models” Journal of Materials Processing Technology 124(2002) 360-365
- L. Motgharea, C.C. Handab, Rakesh L Himtec, “Spinning And Flow Forming Processes In Manufacturing Industries: A Review” International Journal of Mechanical And Production Engineering, ISSN: 2320-2092,Volume- 5, Issue-11, Nov.-2017
- Gajanana, S; Devaki Devi, K; Vishweshwar, N: Development of Satellite ComponentThrough Flow Forming Process, ‘InternationalJ. of Multidisp. Research &Advcs. In Engg.(IJMRE), ISSN 0975-7074’, vol. 3, no. IV,October 2011, 271-284.
- Ravikumar, B; Dr. Gajanana, S; Dr. Hemachandra Reddy, K and Nigam, K N: Development Of Co-Ordinate Retrieval System In Cad For Satellite Component By Shear Forming Process, 'Manufacturing Technology Today', March 2013
- Experimental Investigation and Simulation of Hot Rolling of AL6061
Abstract Views :244 |
PDF Views:0
Authors
Affiliations
1 MVSR Engineering College, Hyderabad, IN
2 RCI, Hyderabad, IN
1 MVSR Engineering College, Hyderabad, IN
2 RCI, Hyderabad, IN
Source
Manufacturing Technology Today, Vol 17, No 8 (2018), Pagination: 15-21Abstract
The process of deforming a metal plastically by passing it between rollers is an age old metal forming process called rolling. The main aim of this paper is to find the optimal process parameters on roll separating force in hot rolling process for Al6061 material. Experimental investigation was carried on Al6061 using Taguchi Design of Experiments and linear regression model is generated using MiniTab software. Simulation is also carried using explicit analysis of the hot rolling process in Abaqus CAE software.Keywords
DoE, Explicit Analysis, Hot Rolling, Regression Analysis, Taguchi Method.References
- Electric Muffle Furnace, C.A. Crowley, Popular Mechanics, 67:6, pp. 941-945, June 1937.
- Orowan E. The calculation of roll pressure in hot and cold flat rolling. Proc Inst Mech Eng 1943;150:140–67
- Zienkiewicz OC, Taylor RL. The finite element method. Solid mechanics, vol.2. Woburn: Butterworth-Heinermann; 2000
- Kobayashi S, Oh SI, Altan T. Metal forming and finite element method. New York: Oxford University Press; 1989
- M.F.Novella, A.Ghiotti, S.Bruschi,et al., Modelling of AA6082 ductile damage evolution under hot rolling conditions, Procedia Engineering 81 (2014) 221–226., http://dx.doi.org/10.1016/j.proeng.2014.09.154
- Miller W.S., Zhuang L., “Recent development in aluminium alloys for the automotive industry”, Materials Science and Engineering: A, Volume 280, Issue 1, Pages 37-49
- P.N. Rao, “Manufacturing Technology”, book, second edition, Tata McGraw Hill Education.
- Ona, H., Study on development of intelligent roll forming machine, International Conference on Technology of Plasticity, ICTP2005, Verona, Italy, 2005
- Development of Regression Model for Spinning force Using Parabolic Mandrel
Abstract Views :267 |
PDF Views:0
Authors
Affiliations
1 Department of Mechanical Engineering, MVSR Engineering College, Nadergul, Hyderabad, IN
2 Department of Mechanical Engineering, JNTUA, Anantapuram, IN
1 Department of Mechanical Engineering, MVSR Engineering College, Nadergul, Hyderabad, IN
2 Department of Mechanical Engineering, JNTUA, Anantapuram, IN
Source
Manufacturing Technology Today, Vol 17, No 8 (2018), Pagination: 22-29Abstract
Metal forming involves deforming of metal physically into various derived shapes and sizes under the effect of externally applied forces. Flow forming is an advanced, near net shape, chip less metal forming process, which employs an increment rotary point deformation technique for manufacturing seamless, dimensionally precise tubular and other rotationally symmetrical products. Spinning is an advanced continuous and local metal forming process, which is widely used in many fields due to its advantages of flexibility, high quality and low cost. It is frequently used for manufacturing axisymmetric shapes where press tooling might not be justified on grounds of size and production volumes. It also has the possibility of producing parts that could not be deep drawn. Initial workpiece shape is either a flat blank or a preformed hollow component. It is characteristic of this process that the deformation does not occur in an annular zone around the axis of rotation but that the tools act upon a much localized area in which plastic flow takes place. During spinning tools are moved relative to the rotating workpiece. In this paper, a Regression model showing the relation among input process parameters, Mandrel speed (rpm), Roller type and Thickness of sheet (mm) and output response spinning force is developed using full factorial design of experiments conducted on Aluminum 2024-T3 sheets with parabolic mandrel. Contribution of each factor on output is determined by Analysis of Variance (ANOVA).Keywords
Metal Spinning, Factorial Design of Experiments, ANOVA, Spinning Force.References
- B.Ravikumar, S.Gajanana, K.Hemachandra Reddy and K.N Nigam,” Development of CoOrdinate Retrieval System in CAD For Satellite
- S.Gajanana, K.Devaki Devi “Development of Satellite Component Through Flow Forming Process „, International Journal of Multidisp. Research & Advcs. In Engg. (IJMRE), Vol.3, No.IV, October 2011.
- El-Khabeery, M. M., Fattouh, M., El-Sheikh, M. N., Hamed, O. A., 1991. On the conventional simple spinning of cylindrical aluminium cups. International Journal of Machine Tools and Manufacture, 31, 203–219
- Kalpakcioglu, S., 1961. A Study of ShearSpinnability of Metals. Journal of Engineering for Industry, 83, 478
- Kobayashi, S., 1963. Instability in the conventional spinning of cones. Journal of Manufacturing Science and Engineering, 85, 44–48.
- Kawai, K., Yang, L., Kudo, H., 2001. A flexible shear spinning of truncated conical shells with a general-purpose mandrel. Journal of Materials Processing Technology, 113, 28–33.
- Music, O., Allwood, J. M., Kawai, K., 2010. A review of the mechanics of metal spinning. Journal of Materials Processing Technology, 210, 3–23
- Music, O., Allwood, J. M., 2010. A review of the mechanics of metal spinning. Journal of materials processing, 210, 3–23
- Music, O., Allwood, J. M., 2011b. Tool-path Design for Metal Spinning. Proceedings of the 10th International Confernece on Technology of Plasticity, Aachen, Germany, pp. 542–547.
- Liu, J., Yang, H., Li, Y., 2002. A study of the stress and strain distributions of first-pass conventional spinning under different roller-traces. Journal of Materials Processing Technology, 129, 326–329
- Investigation to Optimize Process Parameters on Mechanical Properties of Aluminium Alloy in Die Casting Using Taguchi Method
Abstract Views :258 |
PDF Views:0
Authors
Affiliations
1 Dept of Mech Engg., Nishitha college of Engg. & Technology Hyderabad, IN
2 Dept of Mech Engg., MVSR Engineering College, Hyderabad, IN
3 Dept of Mech Engg.,UCE, Osmania university, Hyderabad, Telangana, IN
1 Dept of Mech Engg., Nishitha college of Engg. & Technology Hyderabad, IN
2 Dept of Mech Engg., MVSR Engineering College, Hyderabad, IN
3 Dept of Mech Engg.,UCE, Osmania university, Hyderabad, Telangana, IN
Source
Manufacturing Technology Today, Vol 17, No 10 (2018), Pagination: 19-27Abstract
Aluminium alloy (7178) of die casting involves process parameters like weight percentage of Zn, Mg, Cu, Cr Si. Fe, Mn and Ti etc. with this Zn, Mg, Cu and Cr are selected as process parameters and other parameters are kept constant. Experiments were conducted Taguchi’s L-9 orthogonal array. Castings were made under the various parameter at three different level. In this investigation, the effect of process parameters on mechanical properties of castings of aluminium alloy (7178) is studied. Taguchi method design of experiments employed to optimize the parameters of process that leads maximum mechanical properties. The investigation has indicated that influence of parameters like Zinc (Zn), copper (Cu) magnesium(Mg) and chromium (Cr) on properties of mechanical like Tensile strength, Hardness and microstructure analysis. Results were analysed by ANOVA Technique. Microstructures were studied under optical microscope. The optimal parameters of process for castings of aluminium alloy for better mechanical properties have been determined.
Keywords
Aluminium Alloy 7178, Die Casting Method, Taguchi Method, Anova.References
- Vivek Bhardwaj, Arunesh Chandhraand NIKHIL Yadav, “Investigating the effect of process parameters on the mechanical properties of A713 sand cast aluminum alloy by using Taguchi Method’ International journal of advances in Engineering $ Technology. Issued Nov 2013.
- P. Shailesh, S. Sundarrajan and M. Komaraiah ‘Optimization of process parameters of Al-Si alloy by centrifugal casting technique using Taguchi design of experiments’ Elsevier (scienceDirec) issued 2014
- Senthiil P. V, M. Chinnapandian and Aakashsirusshti ‘optimization of process parameters in cold chamber Die casting process using Taguchi method’ International journal of innovative science, Engineering $ Technology, vol. 1, no. 6, August 2014.
- M. Thirunmal Azhagan, B.Mohan and A. Rajaadurai ‘Optimization of process parameters to enhance the hardness on squeeze cast Aluminum Alloy AA6061. International journal of Engineering and Technology, issued vol. 6 Feb-March 2014.
- Rumana Akhter and MdRofiqul Islam ‘Study of Microstructures of Zn-27Al Alloy cast at Different casting Conditions’ International journal of Engineering and Technical Research, vol. 5, no. 5 May 1, 2016.
- Mahesh N Adke and Shrikant V Karanjkar ‘Optimization of die casting process parameters to identify optimized level for cycle time using Taguchi method’ international journal of innovative in Engg. and Technology, vol. 4, no. 4 December 2014.
- M.Schneider and W Schaefer, E Sjolanders Seiffeddine ‘simulation of microstructure and mechanical properties of aluminum components during casting and heat treatment IOP publishing, issued 2012.
- Javed Gulab Mulla, Prof V. V potdar and Swapnil S Kulkarni ‘investigating die casting process parameters to identify the optimized levels using Taguchi methods for design of experiment (DOE), International journal of advanced Engineering Research and studies. Issued March 2014.
- Puyush Bhardwaj ‘Die casting process. International journal innovation Research in Techonology, vol. 2, no. 2, December.
- Sharma Sand Rana Rs “Optimization of Mechanical Behavior of AA 5083 Nano Sic composites using Design of Experiment vol. 4, no. 2015.
- Subhibisen, Tejajumale, YogeshMahajan and D.R.Peshwe ‘Study of abrasive wear of Al Zn-Mg alloy by Taguchi Method’ International journal of Engineering Research & Technology, vol. 2, no. 12 December 2013
- Regression Model for Surface Roughness on EDM using Al6061 + SiC, Copper and Brass Tools
Abstract Views :301 |
PDF Views:0
Authors
Affiliations
1 Department of Mechanical Engineering, JNTUH College of Engineering, Hyderabad, Kukatpally, IN
2 Department of Mechanical Engineering, MVSR Engineering College, Nadergul, Hyderabad, IN
1 Department of Mechanical Engineering, JNTUH College of Engineering, Hyderabad, Kukatpally, IN
2 Department of Mechanical Engineering, MVSR Engineering College, Nadergul, Hyderabad, IN
Source
Manufacturing Technology Today, Vol 18, No 9 (2019), Pagination: 11-16Abstract
Electrical Discharge Machining (EDM) is one of the electrical energy based Modern Machining Technique. where electrical energy is directly used to remove or cut the metals. In the present work experiments are conducted on EDM using Al6061+SiC(3%,6%,9%), Copper and Brass materials as electrodes and EN8 steel as work material. Discharge current (IP), pulse on time (TON), pulse off time (TOFF) are selected as process parameters, Surface Roughness (SR), Tool Wear Rate (TWR) as response. Taguchi design of experiment is used to find the influence of process parameters on response and a mathematical model is developed. Percentage contribution of each factor is determined.Keywords
Discharge Current(IP), Pulse on Time (TON), Pulse Off Time (TOFF), Surface Roughness, EDM.References
- Sushil Kumar Choudhary: Current Advanced Research Development of Electric Discharge Machining (EDM), 'International Journal of Research in Advent Technology', vol. 2, no. 3 (E-ISSN: 2321-9637), 2014, 273-274
- Ho, KH; Newman, ST: State of the art electrical discharge machining (EDM), 'International Journal of Machine Tools & Manufacture', 43, 2003, 1287-1300.
- Rao, P Srinivasa; Reddy, Sidda B; Kumar, JS and Reddy, KVK: Fuzzy modelling for electrical discharge machining of AISI 304 stainless steel, 'Journal of Applied Sciences Research', 6 (11), 2010, 1687-1700.
- Tomadi, SH; Hassan, MA; Hamedon, Z; Daud, R; Khalid, AG: Analysis of the influence of EDM parameters on surface quality, material removal rate and electrode wear of tungsten carbide. In Proceedings of the International Multi Conference of Engineers and Computer Scientists, 2009, Mar 18, vol. 2, 18-20.
- Wansheng, Zhao; Zhenlong, Wang; Shichun, Di; Guanxin, Chi; Hongyu, Wei: Ultrasonic and electric discharge machining to deep and small hole on titanium alloy, 'Journal of Materials Processing Technology', 120, 2002, 101-106.
- Çaydas, Ulas & Hasçalik, Ahmet: Modeling and analysis of electrode wear and white layer thickness in die-sinking EDM process through response surface methodology, 'Int J Adv Manuf Technol', 2008, 38:1148–1156.
- Yu, ZY; Rajurkar, KP and Shen, H: High Aspect Ratio and Complex Shaped Blind Micro Holes by Micro EDM, University of Nebraska-Lincoln, USA, 2002.
- Appa Rao, G; Mahendra Kumar, Srinivas, M; Sarma, DS: Effect of standard heat treatment on the microstructure and mechanical, 2003.
- Kuppan, P & Rajadurai, A & Narayanan, S: Influence of EDM process parameters in deep hole drilling of Inconel 718, 'Int J Adv Manuf Technol', 2008, 38:74–84. properties of hot isostatically pressed superalloy inconel 718. 'Materials Science and Engineering A355', 2003, 114/125.
- Spedding, TA and Wang, ZQ: Study on modeling of wire EDM process, 'Journal of Materials Processing Technology', 69, 1997, 8- 28
- Salonitis, K; Stournaras, A; Stavropoulos, P & Chryssolouris, G: Thermal modelling of the material removal rate and surface roughness for die-sinking EDM, 'Int J Adv Manuf Technol', 2009, 40:316-323.
- Ankur Srivastava; Kumar Abhishek; Surav Datta; Chandramani Upadhyaya; Siba Sankar Mahapatra: Effect of variation of electrode material on machining performance of Al 6061 during EDM operation, Department of Mechanical Engineering FST, IFHE, Hyderabad, INDIA Department of Mechanical Engineering National Institute of Technology, Rourkela, Odisha, India.
- Arunkumar, N; Shareef, H; Rawoof, Abdur and Vivek, R: Investigation on the Effect of Process Parameters for Machining of EN31 (Air Hardened Steel) By EDM, International Journal of Engineering Research and Applications (IJERA), ISSN: 2248-9622, vol. 2, no. 4, July-August 2012, 1111-1121.
- Patel, VD; Patel, CP; Patel, UJ: Analysis of Different Tool Material on MRR and Surface Roughness of Mild Steel In EDM, 'International Journal of Engineering Research and Applications (IJERA)', ISSN:2248-9622, vol. 1, no. 3, 394-397.
- Manish Vishwakarma; Khare, VK; Parashar, Vishal: Response Surface approach for optimization of Sinker EDM process parameters on AISI 4140 alloy steel, 'International Journal of Engineering Research and Applications (IJERA)', vol. 2, no. 4, July-August 2012.
- Sandeep: Metal Removal Rate Optimization in Electric Discharge Machining Process, 'International Journal of Enhanced Research in Science Technology & amp; Engineering', ISSN: 2319-7463, vol. 3, no. 10, October 2014.
- Prashant Yadava; Dixit, Avdesh Chandra; Jitendra Kumar Verma: Optimization of EDM Parameter of High Carbon-High Chromium Steel (AISI D3) by using Brass Electrode, 'International Journal of Engineering Trends and Technology (IJETT)', vol. 34, no. 3, April 2016 .
- Shankar, P; Boopathi, R and Prabu, M: Investigating the Effect of Brass Electrode on Inconel 718 on Electrical Discharge Machine, 'IJISET - International Journal of Innovative Science, Engineering & Technology', vol. 2, no. 4, April 2015.
- Sandeep Kumar; Ramola, Ishwar Chand; Ranjeet Kumar: Analysis of Surface Roughness and Material Removal Rate for High Carbon High Chromium Steel on Die Sinking EDM using Taguchi Technique, 'International Journal of Mechanical Engineering (SSRG-IJME) – EFES' April 2015.
- Nayan Patel: Review on Importance of Electrodes in Electrical Discharge Machining Process, International 'Journal of Research in Aeronautical and Mechanical Engineering'.
- Samruddhi Rao; Pragati Samant; Athira Kadampatta; Reshma Shenoy: An Overview Of Taguchi Method: Evolution, Concept and Interdisciplinary Applications, 'International Journal of Scientific and Engineering Research', 2013.
- Bolboaca, Sorana D and Jantschi, Lorentz: Design of Experiments: Useful Orthogonal Arrays for Number of Experiments from 4 to 6, 'Entropy', vol. 9, 2007, 198-232.
- Ojha, Kuldeep; Garg, RK; Singh, KK: 'Journal of Minerals & Materials Characterization & Engineering', vol. 9, no. 8, 709-739, 2010, jmmce.org.
- Arun Kumar; RP Swamy: Evaluation of mechanical properties of Al6061, flyash and E-glass fiber reinforced hybrid metal matrix composites, 2011/5ARPN 'Journal Of Engineering and Applied Sciences', vol. 6, no. 5, 40-44 .
- Ashwani Kharola: Analysis of Various machining parameters of EDM on Hard Steel using copper and Aluminium electrodes (March 2015) have studied the process parameters on EDM using Copper, Aluminium electrodes and EN8 work material 2015/3/1, JEM, vol. 5, 1-14 .
- Laxman, J; Gururaj, K: Modeling and Analysis of EDM process parameters using Taguchi technique and Fuzzy based modeling, 'International Journal of Advanced Mechanical Engineering', ISSN 2250-3234, vol. 4, no. 5, 2014, 473-480.
- Jeevamalar, J; Ramabalan, DS: Experimental Investigations into the Effect of Process Parameters on Performance Measures of Sink EDM Process: A Review Year 2011 To 2015 and Future Work, 'IJERT', ISSN: 2278-0181, IJERTV5IS010213, vol. 5, no. 01, January-2016 .
- Mathalai Sundaram, C; Sivasubramanian, R; Sivakumar, M: An Experimental Investigation on Machining Parameters of Electrical Discharge Machining of OHNS Steel, 'IJERT', vol. 2, no. 12, December 2013.
- Pandey, Ved Prakash; Mall, RN: Analysis of material removal rate of AlSi 304 SS in EDM process, 'IJSRD, vol. 2, no. 07, 2014, ISSN (online): 2321-0613.
- Mehta, Mehul G; Patel, Nikul K: Temperature and thermal stress analysis of EDM, (Jan-2014), vol. 03, no. 01, Published (First Online): 23-01-2014 ISSN: 2278-0181 Publisher Name: IJERT
- Investigation on Effects of Process Parameters on Surface Roughness for Spinning Process using Cylindrical Mandrel
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Authors
Affiliations
1 Department of Mechanical Engineering, MVSR Engineering College, Nadergul, Hyderabad, IN
2 Andhra Pradesh State Council of Higher Education (APSCHE), Andhra Pradesh, IN
1 Department of Mechanical Engineering, MVSR Engineering College, Nadergul, Hyderabad, IN
2 Andhra Pradesh State Council of Higher Education (APSCHE), Andhra Pradesh, IN
Source
Manufacturing Technology Today, Vol 18, No 10 (2019), Pagination: 25-30Abstract
Flow forming is an advanced, near net shape, chip less metal forming process, which employs an increment rotary point deformation technique for manufacturing seamless symmetrical products. Spinning is an advanced continuous and localized metal forming process, which is widely used in many fields due to its advantages of flexibility, high quality and low cost. It is frequently used for manufacturing axisymmetric shapes where press tooling might not be justified on grounds of size and production volumes. It is characteristic of this process that the deformation does not occur in an annular zone around the axis of rotation but that the tools act upon a much localized area in which plastic flow takes place. During spinning tools are moved relative to the rotating work piece. In this paper, a regression model showing the relation among input process parameters, Mandrel speed (rpm), Roller type and Thickness of sheet (mm) and output (response) as surface roughness (μm) is developed using Minitab Software. The experiments were conducted on Aluminium 2024 T-3 sheets with cylindrical mandrel using Taguchi orthogonal arrays (L9). Further Analysis of Variance was carried out to find the contribution of each parameter on the surface roughness.Keywords
Mandrel Speed (rpm), Thickness of Sheet (mm), Surface Roughness (μm).References
- Music, O; Allwood, JM; Kawai, K: A review of the mechanics of metal spinning, 'Journal of Materials Processing Technology', 2010, vol. 210, no. 1, 3–23.
- Avitzur, B; Yang, C: Analysis of power spinning of cones, 'Journal of Engineering for Industry', vol. 82, no. 3, 1960, 231–244.
- Sortais, HC; Kobayashi, S; Thomsen, EG: Mechanics of conventional spinning, 'Journal of Engineering for Industry', 1963, vol. 85, no. 4, 346–350.
- Kalpakcioglu, S: A Study of Shear-Spinnability of Metals, Journal of Engineering for Industry, 1961, vol. 83, no. 4, 478-483.
- Harewood, FJ and McHugh, PE: Comparison of the implicit and explicit finite element methods using crystal plasticity, 'Computational Materials Science', vol. 39, no. 2, 2007, 481-494. doi:10.1016/S0924-0136(00)00580-X.
- Sebastiani, G; Brosius, A; Homberg, W; Kleiner, M: Process Characterization of Sheet Metal Spinning by Means of Finite Elements, Proceedings of the 12th International Conference of Sheet Metal, Palermo, Italy, 2007, 637–644.
- Essa, K., Hartley, P. (2010). Optimization of conventional spinning process parameters by means of numerical simulation and statistical analysis. Journal of Engineering Manufacture, vol. 224, no. 11, 1691-1705,DOI:10.1243/09544054JEM1786
- Kleiner, M; Göbel, R; Kantz, H; Klimmek, C; Homberg, W: Combined Methods for the Prediction of Dynamic Instabilities in Sheet Metal Spinning, 'CIRP Annals', 2002, vol. 51, no. 1, 209–214.
- Wang, L; Long, H; Investigation of material deformation in multi-pass conventional metal spinning, 'Materials & Design', 2011, vol. 32, no. 5, 2891-2899.
- Wang, L & Long ,H: A study of effects of roller path profiles on tool forces and part wall thickness variation in conventional metal spinning, 'Journal of materials processing technology', vol. 211, no. 12, 2011, 2140-2151
- Development of Factorial Model for Green Compression Strength of Moulding Sand
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Affiliations
1 Department of Mechanical Engineering, MVSR Engineering College, Nadergul, Hyderabad, IN
1 Department of Mechanical Engineering, MVSR Engineering College, Nadergul, Hyderabad, IN
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Manufacturing Technology Today, Vol 18, No 11 (2019), Pagination: 26-30Abstract
Sand casting process is one of the most versatile process in manufacturing process where molten metal is poured into the expendable sand mould cavity to get complex shapes. In this process green compression strength is considered to be one of the important mechanical property for mould preparation in sand casting. These moulding sand properties play a vital role in determining the optimum moisture content for making green sand casting mould.
To optimize green compression strength the process variables like clay, moisture and sand composition are varied by selecting design of experiments (DOE) technique to find out effect of input parameters on green compression strength.
The present work aims to determination of green compression strength by varying silica sand, clay and water. Using factorial method number of experiments to be conducted is determined and design matrix is created. Using design matrix regression coefficients are calculated and student’s t-test is carried out to check significance of each regression coefficient. Contribution of each factor on output is determined by analysis of variance (ANOVA).
Keywords
Green Compression Strength, ANOVA, DOE, Sand Casting.References
- Alder, YP, et al.: The Design of Experiments to find Optimal Conditions, MIR publications, Moscow, 1975.
- Montgomery, DC: Design and Analysis of Experiments, John Willey and Sons, New York, 1991.
- Rao, PN: Manufacturing Technology, McGraw Hill Education, vol. 1, 2013.
- Khalasi, Hiren; Patel, Milan; Parekh, Deep; Shethiya, Naimesh: Optimization of Process Parameters of Green Sand Casting in Small Scale Foundry, IJRASET, vol. 4, May 2016.
- Khare, Manu; Optimization of sand casting parameters using factorial design, 'International Journal Of Scientific Research', vol. 3, no. 1, January 2014.
- Gajanana, S: Optimization of Process Parameters for Hero Honda Exhaust Valve using Design of Experiments, 'Proceeding of National Conference on Recent Advances in Computer Aided Engineering', Osmania University, Hyderabad, March 3rd & 4th , 2006.
- Gajanana S: Development Of Mathematical Model For EDM Using Two Factorial Design of Experiments, XXIII National Convention Of Mechanical Engineers And National Seminar On ‘Emerging Trends In Manufacturing Systems And Technologies’, Hyderabad, September 10-12, 2007
- Investigation of Al 2024 Metal Spinning on Surface Roughness using Conical Mandrel
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Authors
Affiliations
1 MVSR Engineering College, Hyderabad, Andhra Pradesh, IN
2 AP State Council for Higher Education, Vijayawada, Andhra Pradesh, IN
1 MVSR Engineering College, Hyderabad, Andhra Pradesh, IN
2 AP State Council for Higher Education, Vijayawada, Andhra Pradesh, IN
Source
Manufacturing Technology Today, Vol 19, No 11 (2020), Pagination: 13-19Abstract
Spinning is widely used metal forming process to fabricate components or products have rotational symmetry. It is a localized metal forming process which is mainly used due to its advantage of high quality associated with low cost for manufacture. In this process a tool is pressed against the rotating pre form of final product. The surface rough ness is one of the important parameters of spun product which are used in aerospace industry. In the present study an investigation is carried out on Al2024 material to get a conical product by adopting Taguchi OA methodology for experimentation. The experiment is carried out by using two different geometry rollers namely single roller and double radii roller at two different rotational speeds on different thickness of sheets as input parameters. The surface roughness is the target response in this investigation. Regression model for surface roughness is developed using MiniTAB software. Further Analysis of Variance was carried out to find the contribution of each parameter on the response.Keywords
Conical Mandrel, Surface Roughness, Regression Model, Taguchi Method.- Experimental Investigation on Machining Parameters of Al6061-Mgo
Abstract Views :344 |
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Authors
Affiliations
1 MVSR Engineering College, Hyderabad, IN
2 CoE, Osmania University, Hyderabad, IN
1 MVSR Engineering College, Hyderabad, IN
2 CoE, Osmania University, Hyderabad, IN
Source
Manufacturing Technology Today, Vol 19, No 12 (2020), Pagination: 19-26Abstract
The objective of the current paper is, to investigate the machinability on Al 6061-Mgo metal matrix considering machinability parameters like speed, feed, depth of cut. Aluminum is remarkable for its low density and its ability to resist corrosion through the phenomenon of passivation. It is widely used for high performance applications such as automotive, military, electricity and aerospace industries because of their improved physical and mechanical properties such as light weight, high strength, good corrosion resistance, malleability, etc. Al metal matrix is the material. In the present work aluminium is used as the matrix and several reinforced materials are embedded into the matrix. Al 6061 aluminum alloy is reinforced with 1.0 weight percentage of Magnesium Oxide (MgO) particles through stir casting. In the present work, the influence of alloying elements in Al 6061 alloy have been investigated Casting of specimen having mentioned composition were prepared using stir casting method. Experiments were performed machining parameters like speed, feed, depth of cut during the turning operation with rake angle 15o per various trials, by changing the machinability parameters and calculated for all trials resultant force and frictional force with the help of merchant cycle and identified optimized machinability parameters.Keywords
Al6061, Merchant Circle, Machinability, Rake Angle.- Study on influence of process parameters in hot rolling of al 7178 metal matrix materials
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Authors
Affiliations
1 1 Maturi Venkata Subba Rao (MVSR) Engineering College, Hyderabad, Telangana, India, IN
2 Maturi Venkata Subba Rao (MVSR) Engineering College, Hyderabad, Telangana, India., IN
3 University College of Engineering, Osmania University, Hyderabad, Telangana, India, IN
4 Brilliant Institute of Engineering Technology, Hyderabad, Telangana, India, IN
5 HCL Technologies, Hyderabad, Telangana, India, IN
1 1 Maturi Venkata Subba Rao (MVSR) Engineering College, Hyderabad, Telangana, India, IN
2 Maturi Venkata Subba Rao (MVSR) Engineering College, Hyderabad, Telangana, India., IN
3 University College of Engineering, Osmania University, Hyderabad, Telangana, India, IN
4 Brilliant Institute of Engineering Technology, Hyderabad, Telangana, India, IN
5 HCL Technologies, Hyderabad, Telangana, India, IN
Source
Manufacturing Technology Today, Vol 21, No 5-6 (2022), Pagination: 3-14Abstract
Aluminium and its alloys are in demand for the manufacturing of components due to their high strength to weight ratio. As the technology is advanced the demand for high strength to weight ratio is increased exponentially. Many researchers are explore alternatives to pure aluminium by way of adding silicon and metal matrix of Mg, SiC and Al2 O3 . The present work aims at preparation of optimized Al7178 by stir casting process and extruding to preparation of aluminium matrix materials consisting silicon carbide and aluminium oxide (Al2 O3 ) powder of 40µm particle size at 6% weight percentage with a objective of investing the influence of process parameters of hot rolling process. Investigation is undertaken in order to minimize the rolling force of Al7178 aluminium metal matrix in hot rolling forming process where in the process parameters inlet thickness, rolling speed, percentage reduction of thickness, rolling temperature are considered as input parameters. Experimentation on hot rolling process concludes that 6% weight percentage of SiC and Al203 needs minimum rolling force 2.6 and 1.3 kN corresponding to 9mm inlet thickness, 15rpm rolling speed, 10% of thickness reduction at rolling temperature of 600ᵒC.Keywords
Al 7178 alloy, Silicon Carbide (SiC), Aluminium Oxide (Al2 O3 ), Taguchi Method.References
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- Bharath, V., Nagaral, Madev., Auradi, V., & Koric, S. A. (2014). Preparation of 6061Al-Al2 O3 MMC by stir casting and evaluation of mechanical and wear properties. Procedia Materials Science, 6, 1658 – 1667.
- Changqing, H., Hua, D, Jie, C, Xinghua, H. U., & Shuangcheng, Y. (2011). Research on rolling force model in hot-rolling process of aluminum alloys. Procedia Engineering, 16, 745 – 754.
- Dhaneswara, D., Syahrial, A. Z., & Ayman, M. T. (2017). Mechanical properties of nano SiC-reinforced aluminum A356 with Sr modifier fabricated by stir casting method. Procedia Engineering, 216, 43-50. https://doi. org/10.1016/j.proeng.2018.02.087
- Ezatpour, H. R., Sajjadi, S. A., Sabzevar, M. H., & Huang, Y. (2014). Investigation of microstructure and mechanical properties of Al6061- nanocomposite fabricated by stir casting. Materials and Design, 55, 921-928. https://doi. org/10.1016/j.matdes.2013.10.060
- Fukuda, Y., Noda, M., Ito, T., Suzuki, K., Saito, N & Chino, Y. (2017). Effect of Reduction in Thickness and Rolling Conditions on Mechanical Properties and Microstructure of Rolled Mg-8Al1Zn-1Ca Alloy. Advances in Materials Science and Engineering, 1-9.
- Gupta, R. K., Anil Kumar, V., Sarath Krishnan, A., & Niteshraj, J. (2019). Hot deformation behavior of aluminum alloys AA7010 and AA7075. Journal of Materials Engineering and Performance, 28(8). https://doi.org/10.1007/s11665-019- 04231-8
- Hallberg, H. (2013). Influence of process parameters on grain refinement in AA1050 aluminum during cold rolling. International Journal of Mechanical Sciences, 66, 260-272. https://doi.org/10.1016/j.ijmecsci. 2012.11.016
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- Kumar, T. V., Jayashankar, G., Srinivas, B., Jithendra, J., & Sumedh, M. (2017). Effect of rolling on hardness of aluminium metal matrix composites-an experimental study. International Journal of Mechanical Engineering and Technology, 8(5), 525-530.
- Lei, Q., Li, Z., Wang, J., Xie, J. M., Chen, X., Li, S., Gao, Y., & Li, L. (2013). Hot working behavior of a super high strength Cu-Ni-Si alloy. Materials and Design, 51, 1104-1109. https://doi. org/10.1016/j.matdes.2013.05.001
- Mao, D., Zhang, B., Li, J., Li, Z., & Shi, C. (2012). Effect of hot-rolling and warm-rolling process on properties of cast-rolling AZ31B magnesium alloy strip. Procedia Engineering, 27, 887-894. https://doi.org/10.1016/j. proeng.2011.12.535
- Mathai, B., Mathew, C., Pratheesh, K., & Varghese, C. K. (2015). Effect of silicon on microstructure and mechanical properties of Al-Si piston alloys. International Journal of Engineering Trends and Technology, 29(6), 299-303.
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- Mondal, D. P., Jha, N., Badkul, A., Das, S., Yadav, M. S., & Jain, P. (2011). Effect of calcium addition on the microstructure and compressive deformation behaviour of 7178 aluminium alloy. Materials and Design, 32(5), 2803–2812. https://doi.org/10.1016/j.matdes. 2010.12.056
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- Nagaral, M. (2013). Effect of Al2O3 particles on mechanical and wear properties of 6061al alloy metal matrix composites. Journal of Material Science & Engineering, 2(1).
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- Pandey, A., Khan, A. S., Kim, E. Y., Choi, S. H., & Gnäupel-Herold, T. (2013). Experimental and numerical investigations of yield surface, texture, and deformation mechanisms in AA5754 over low to high temperatures and strain rates. International Journal of Plasticity, 41, 165-188.
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- Raghavendra, M. J., Praveen Kumar, K., Arun, R., & Arjun, S. (2017). A study on microstructure and characterization of aluminum 7075 metal matrix reinforced with silicon carbide particles using stir casting method. International Journal of Research in Engineering and Technology, 6(12). https://doi.org/10.15623/ijret.2017.0612015
- Rajabi, F., Zarei-Hanzaki, A., Eskandari, M., & Khoddam, S. (2013). The effect of rolling parameters on the mechanical bevavior of 6061 aluminium alloy. Material Science & Engineering: A, 578, 90-95.
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- Rayjadhav, S. B., & Naik, V. R. (2016). Characterization of developed Al 6061-SiC metal matrix composites produced by the stir casting method. International Journal of Innovative Research in Science and Engineering, 2(3), 92-103.
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- Saroya, B., Singh, D., Jaswanti, & Meena, K. L. (2013). Experimental investigation to analysis of mechanical properties of the developed Al/ SiC-MMC’s. International Journal of Advanced Trends in Computer Science and Engineering, 2(1), 130-134.
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- Vijay Kumar, T., Jayashankar, G., Srinivas, B., Jithendra, J., & Sumedh, M. (2017). Effect of rolling on hardness of aluminium metal matrix composites-an experimental study. International Journal of Mechanical Engineering and Technology, 8(5), 525-530.
- Yerrennagoudar, H., Goudar, D. M., Balaji, M., & Ravikumar, D. (2016). Studies on wear behaviour of aluminium 6061alloy reinforced with Al2 O3 & MICA particulates hybrid metal matrix composite, International Journal of Innovative Research in Science, Engineering and Technology, 5(6).
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- Zhang, T., Wu, Y. X., Gong, H., Zheng, X. Z., & Jiang, S. S. (2014). Effects of rolling parameters of snake hot rolling on strain distribution of aluminum alloy 7075. Transactions of Nonferrous Metals Society of China (English Edition), 24(7), 2150-2156. https://doi.org/10.1016/S1003- 6326(14)63326-4
- Investigation of Characteristics of Hybrid Al 7(075+178) Alloy Developed Through Die Casting
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Authors
Affiliations
1 Poornima University, Jaipur, Rajasthan, IN
2 MVSR Engineering College, Nadergul, Hyderabad, IN
1 Poornima University, Jaipur, Rajasthan, IN
2 MVSR Engineering College, Nadergul, Hyderabad, IN
Source
Manufacturing Technology Today, Vol 21, No 11-12 (2022), Pagination: 25 - 30Abstract
7XXX series aluminum alloys (Al 7XXX alloys) are widely used in bearing components, such as aircraft frame, spars and stringers, for their high specific strength, high specific stiffness, high toughness, excellent processing, and welding performance. One of the most commonly used aluminium alloy for structural applications is Al7075 alloy due to its attractive comprehensive properties such as low density, high strength, ductility, toughness and resistance to fatigue. Another important alloy in the Al 7XXX series is Al7178. It has exceptional uses in Aviation field, Automobile sector, and Structural industries. In the present research work an attempt is made to prepare a blend of these two alloys and get the optimum composition which yields high strength Al 7(075+178). A medium frequency induction furnace with graphite crucible was used for the melting. Mechanical properties like Tensile strength and Hardness are selected as the output response along with the Microstructural analysis. Taguchi method was adopted for designing experimental composition of the composite which is prepared.
Keywords
Al 7(075+178), Taguchi-DoE, Hybrid Alloy, Die CastingReferences
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- Ajibola, A. S., Olayinka, D, M., & Olalekan, S. T. (2012). Production and microstructural analysis of as-cast and heat-treated aluminium alloy, (Al-20%wtMg). Advances in Applied Science Research, 3 (4):2196-2203.
- Annigeri, U. (2017). Method of stir casting of Aluminum metal matrix Composites: A review. Materials Today: Proceedings, 4(2). 1140-1146. 10.1016/j.matpr.2017.01.130.
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