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Venkataramaiah, P.
- Prediction and Optimization of Flank Wear and Surface Roughness in Down Milling of Al- 7075+ (Al2O3)P MMC Using Ti-N Coated Helical Milling Cutter
Authors
1 Department of Mechanical Engineering, Sri Venkateswara University College of Engineering, Tirupati-517502, A.P., IN
Source
Artificial Intelligent Systems and Machine Learning, Vol 8, No 3 (2016), Pagination: 116-119Abstract
During milling operations of Aluminum Metal Matrix Composites (AMMC) by using plain HSS cutters, some problems arise because of the fabrication of reinforced particles. To achieve this problem, coated helical milling cutters are used to minimize the wear rate and better surface finish. In this study, flank wear is observed on Titanium Nitride (Ti-N) coated milling cutters in down milling of Al-7075+ 4% Al2O3-p, afterwards the wear rate of the cutter and surface roughness of composite were investigated. Image processing tool in MATLAB is adopted to measure the wear rate on both the axes of cutter and surface roughness (Ra) of the MMC's measured by using Talysurf meter. In this work, the input parameters speed, feed rate and depth of cut were taken in a range of low, medium and high; coolant conditions are dry, soluble oil and diesel. The optimum milling parameters were found by using Fuzzy- Taguchi optimization method and the practical results were compared by Fuzzy prediction values. It is observed that tool wear and surface roughness were lower at higher cutting speed, lower feed rates and lower depth of cuts when soluble oil is used as coolant and the variation between experimental data and predicted data is comparatively less.Keywords
Aluminum Metal Matrix Composite, Flank Wear, Surface Roughness, Down Milling, Fuzzy-Taguchi, MRPI, Fuzzy Prediction.- An Experimental Study on Influence of Coolants in Down Milling of AMMC using Ti-N coated HSS Cutter
Authors
1 Dept. of Mechanical Engineering, Sri Venkateswara University College of Engineering, Tirupati, Andhra Pradesh, IN
Source
Manufacturing Technology Today, Vol 15, No 3 (2016), Pagination: 24-30Abstract
In recent years, many researchers and authors have been investigating various aspects of Aluminium Metal Matrix composites (AMMC) because of their combined mechanical and thermal properties. It becomes a significant task to study the behaviour of AMMC during machining. By observing previous approaches on AMMC, machining of composites is very difficult under normal conditions. During milling process of AMMC using Ti-N coated HSS cutter, some problems arise because of the reinforced particles fabricated in it. High temperatures and poor surface quality were observed at shear zone during machining.
In this context, Aluminium metal matrix composite material is selected as Al- 6061+ 2% Al2O3 and Titanium Nitride (Ti-N) coated HSS helical milling cutter having a size more than composite work piece is selected. The input parameters were taken as speed, feed rate, depth of cut in a range of low, medium and high and coolants are Dry, soluble oil and veg. oil to perform the experiment. Because of various applications and reliable properties of AMMC in advance manufacturing systems, nanotechnology, mechatronics, cryogenics etc., the output parameters were selected as temperature (T) and surface roughness (Ra). Afterwards, Taguchi design of experiments L18 is adopted for the experiment. The values of temperature and surface roughness are noted and the optimal input machining conditions are found by using Fuzzy- Taguchi optimization technique with reference to normalized values followed by their corresponding S/N ratios of output parameters.
The effective optimum results were found by using Fuzzy- Taguchi technique and the variation between experimental and Fuzzy predicted data has been compared and concluded.
Keywords
Aluminium Metal Matrix Composite (AMMC), Slab Milling, Talysurf Meter, Laser Thermometer, Fuzzy-Taguchi Method.- Analysis of Surface Roughness, Material Removal Rate and Temperature in Milling of En 31 for Die Making under Minimum Quantity Lubirication Condition
Authors
1 S V University, Tirupati, IN
Source
Manufacturing Technology Today, Vol 16, No 2 (2017), Pagination: 11-17Abstract
Conventional milling process remains its importance as it is flexible in cutting dovetails, keyways and slots etc., although Non-traditional machining process are playing major role in machining industry. In other hand Minimum Quantity Lubrication (MQL) refers a little (50-5600ml/hr) lubricant dispensing system which is the substitute for the flood type lubricating system which dispenses 20 L/h of lubricant. In this work, milling experiments are conducted on En-31 material for making die using solid carbide tool and HSS tools under MQL condition. The effect of process parameters such as speed (S), depth of cut (DOC), coolant type (CT), tool material (TM), and amount of coolant dispensed (ACD) on cutting temperature, material removal rate and surface roughness is investigated. A special setup is prepared for regulating the minimum quantity of lubricant. The responses such as Temperature, Material Removal Rate and Surface Roughness are measured and regression models are developed for these responses. Regression models are solved using Particle Swarm Optimization (PSO) technique.Keywords
Milling Operation, Particle Swarm Optimization, En 31, MQL Setup.References
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- Tunc, Lutfi Taner; Gu, Yuchen; Burke, Mary Grace: Effects Of Minimal Quantity Lubrication (MQL) On Surface Integrity In Robotic Milling Of Austenitic Stainless Steel, ‘Peer-review under responsibility of the scientific committee of the 3rd CIRP Conference on Surface Integrity (CIRP CSI)’, doi: 10.1016/j.procir.2016.
- Kedare, SB; Borse, DR; Shahane, PT: Effect of Minimum Quantity Lubrication (MQL) on Surface Roughness of Mild Steel of 15HRC on Universal Milling Machine, ‘3rd International Conference on Materials Processing and Characterization', ICMPC, 2014.
- Goyal, Anurag; Jasvir, S; Tiwana, Amrit Pal: A Review study on Minimum Quantity Lubrication in Machining, ‘International Journal of Recent Development in Engineering and Technology’, ISSN: 2347 - 6435, vol. 2, no. 5, May 2014.
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- Loginsa, Andris; Torimsa, Toms: The Influence of High-Speed Milling Strategies on 3D Surface Roughness Parameters, 25th DAAAM International Symposium on Intelligent Manufacturing and Automation, 2014, 'Procedia Engineering', vol. 100, 2015, 1253 - 1261.
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- Arunkumar, N; Rawoof, Shareef Abdur H; 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, www.ijera.com, vol. 2, no. 4, July-August 2012, 1111-1121.
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- Evaluation of Aluminium Hybrid Metal Matrix Composites by Analytical Hierarchy Process (AHP) Method
Authors
1 Department of Mechanical Engineering, Sri Venkateswara University College of Engineering, Tirupati, IN
Source
Manufacturing Technology Today, Vol 17, No 2 (2018), Pagination: 3-14Abstract
Selection of most appropriate matrix materials plays a pivotal role in the fabrication of aluminium based hybrid metal matrix composites. In order to satisfy the demands offered by engineering fraternity, aluminium based hybrid metal matrix composites (AHMMCs) has become a most promising material with superior mechanical properties, low density, good corrosion resistance and tribological properties. This paper mainly focused on an evaluation of a most suitable matrix material for fabrication of AHMMCs using an Analytical Hierarchy Process (AHP). In this research, selection of a suitable matrix material from AA 6XXX series has been investigated by considering the five criteria such as Density, Tensile strength, Hardness, Melting Point and Cost of available matrix materials in the market. Finally, the result shows that AA 6082 aluminium alloy is the optimum matrix materials for the production of AHMMCs.Keywords
Material Selection, Analytic Hierarchy Process, Alternatives, Criteria, Multi-Criteria Decision-Making.- Multi Objective Optimization of Process Parameters in Drilling of AL 6061-T6 and Brass C360 Alloys by WASPAS Method
Authors
1 Department of Mechanical Engineering, S.V. University, Tirupati, IN
Source
Manufacturing Technology Today, Vol 17, No 12 (2018), Pagination: 3-11Abstract
In the present work, the drilling experiments are performed on Aluminum 6061-T6 and Brass C360 alloy block of 8mm thickness using HSS Twist drills by means of universal drilling machine. Cutting parameters drill diameter, speed and feed rate are varied at 3 different levels. A number of drilling experiments are conducted using the L9 orthogonal array according to Taguchi design of experiment (DOE) on both materials separately. The output performances viz. MRR, surface roughness, torque and cutting forces are recorded for each run. Multi objective optimization technique WASPAS (weighted aggregated sum product assessment) method is used for determining the optimal drilling parameters resulting in minimum Surface roughness, Torque, cutting force and Maximum MRR. The measured responses were analyzed and the Influence of drill parameters on output responses such as metal removal rate and surface roughness, cutting force, torque is studied. After nine experimental trials, responses are compared for Al 6061-T6 and Brass C360 alloys.Keywords
Drilling, Taguchi Design of Experiment (DOE), AL 6061-T6 and Brass C360 Alloys, WASPAS Method.References
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- Nisha Tamta, R S Jadoun - Parametric Optimization of Drilling Machining Process for Surface Roughness on Aluminium Alloy 6082 Using Taguchi Method, SSRG International Journal of Mechanical Engineering (SSRGIJME), vol. 2, no. 7, July 2015.
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- Madic, M.Gecevska, V.Radovanovic, M. Petkovic - Multi criteria economic analysis of machining processes using the waspas method, 'Journal Of Production Engineering', vol. 17, No. 2.
- Hari Singh, Abhishek Kamboj, Sudhir Kumar: Multi Response Optimization in Drilling Al6063/SiC/15% Metal Matrix Composite,'International Journal of Mechanical and Mechatronics Engineering', vol. 8, no. 4, 2014
- A Comparative Study in Heat-Assisted Machining of Inconel 718 and Hastelloy-276 using Machine Learning Techniques
Authors
1 SVU College of Engineering, Tirupati, Andhra Pradesh, IN