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Saha, Partha Pratim
- An Investigation on Developing a Drilling Burr Prediction Model
Abstract Views :364 |
PDF Views:123
Authors
Affiliations
1 Department of Mechanical Engineering, Kalyani Government Engineering College, Kalyani, West Bengal 741235, IN
1 Department of Mechanical Engineering, Kalyani Government Engineering College, Kalyani, West Bengal 741235, IN
Source
Reason-A Technical Journal (Formerly Reason-A Technical Magazine), Vol 13 (2014), Pagination: 107-117Abstract
Presence of burr after a manufacturing process is a potential problem. Prediction of burr size in machining plays an important role in process planning. The present work deals with the study and development of a burr height prediction model during machining aluminium alloy, using Response Surface Methodology (RSM). Drilling parameter such as cutting velocity, feed rate and drill diameter are considered in conducting experiments in a radial drilling machine to find out height of burr formed in aluminium alloy flats. By performing ANOVA, it is found that drill diameter is the most significant factor to influence formation of burr height. Combination of process parameters giving small burr height is found out within the experimental constraints. Three-dimensional surface and contour plots show the variation in burr height with different process parameters. A comparison of modeled and experimental results corresponding to a low burr height shows an error of less than 3%.Keywords
Drilling, Burr Height, RSM, ANOVA, Size Effect.- Reducing Shaping Burr by Beveling Exit Edge of 45C8 Steel
Abstract Views :296 |
PDF Views:124
Authors
Affiliations
1 Department of Mechanical Engineering, Kalyani Government Engineering College, Kalyani, Nadia-741 235, West Bengal, IN
1 Department of Mechanical Engineering, Kalyani Government Engineering College, Kalyani, Nadia-741 235, West Bengal, IN
Source
Reason-A Technical Journal (Formerly Reason-A Technical Magazine), Vol 12 (2013), Pagination: 52-60Abstract
Production of high precision components needs constant attention to both the generation of machined surfaces without a burr and undertaking deburring operation. A machining process usually produces burr. In shaping, burr formation occurs when the cutting tool exits the workpiece. Absence of necessary back up support around an edge is the possible reason behind it. Several research works have been done on burr formation mechanism, its minimization, and deburring. A number of experiments is performed in this work on medium carbon steel (45C8) flats in dry condition to note the effects of burr formation on the workpiece with beveled exit edge. The experimental result shows that at 15o edge bevel, negligible burr formation is obtained. Analysis of variance is conducted on the experimental results to find out the relative influence of each process parameter on burr height observed. The regression analysis is also done with the experimental data and the regression equation gives fairly good estimate of experimental results.Keywords
Machining, Shaping, Edge Beveling, Exit Edge, Burr.- Towards Minimization of Foot formation of EN25 Steel Flats
Abstract Views :315 |
PDF Views:128
Authors
Affiliations
1 Department of Mechanical Engineering, Kalyani Government Engineering College, Kalyani 741 235, West Bengal, IN
1 Department of Mechanical Engineering, Kalyani Government Engineering College, Kalyani 741 235, West Bengal, IN
Source
Reason-A Technical Journal (Formerly Reason-A Technical Magazine), Vol 10 (2011), Pagination: 27-30Abstract
Foot formation in the workpiece during shaping operation is not favourable with early tool fracture, when a cutter exits the workpiece edge. Foot formation occurs due to gradual rotation of the positive shear plane to the negative shear plane about a pivot point. A number of tests in shaping operation is done in the present work on nickel chrome steel (En25) flats. Experiments are carried out in dry environment under different cutting velocities, rake angles and exit edge bevel angles to note the effect of foot formation. Experimental results are analyzed through ANOVA to find out the significance of the effect of cutting parameters and exit edge bevel angle to minimize the foot formation. It is observed foot formation that an exit edge bevel angle has the most significant effect. An exit edge bevel angle of 150 is recommended in orthogonal shaping operation when no foot formation is found.Keywords
Shaping, Edge Beveling, Foot formation, Shear Plane, ANOVA.- Workpiece Edge Beveling to Control Formation of Burr in Face Milling
Abstract Views :196 |
PDF Views:106
Authors
Affiliations
1 Dept. of Mechanical Engineering, Kalyani Government Engineering College, Kalyani-741 235, IN
1 Dept. of Mechanical Engineering, Kalyani Government Engineering College, Kalyani-741 235, IN
Source
Reason-A Technical Journal (Formerly Reason-A Technical Magazine), Vol 8 (2008), Pagination: 12-16Abstract
Presence of burr at the edge of finished workpiece often leads to difficulty in assembly operation and injury to operator necessitating incorporation of additional processes of deburring. Exit burr formation by milling usually occurs when cutter moves out of the work piece. One method for minimizing this problem is to prevent the tool from exiting the workpiece while removing material. Burr formation can also be reduced considerably by edge beveling of the workpiece. In the present work, the influence of beveling the exit edge of the workpiece on the burr formation in milling has been experimentally investigated to find out the optimum condition to control the formation of burr.- Quality Management System (ISO 9000:2000)-An Overview
Abstract Views :192 |
PDF Views:99
Authors
Affiliations
1 Kalyani Government Engineering College, Jig & Tool Design Office, Eastern Railway, Kanchrapara Workshop, IN
1 Kalyani Government Engineering College, Jig & Tool Design Office, Eastern Railway, Kanchrapara Workshop, IN
Source
Reason-A Technical Journal (Formerly Reason-A Technical Magazine), Vol 7 (2006), Pagination: 9-12Abstract
The competitive pressures are throwing new challenges to the business world. In past, quality acted as a distinguishing characteristic between a company and its competitors. In today's world, however, quality has become mandatory. It is an assumed characteristic. The distinguishing features then become verifiable quality, continuous improvement, innovation, superior customer service, etc.- An Experimentalapproach to Investigate the Effect of Process Conditions on Exit Burr formation in Shapingan Aluminiumalloy
Abstract Views :314 |
PDF Views:0
Authors
Affiliations
1 Department of Mechanical Engineering, Kalyani Government Engineering College, Kalyani 741 235, West Bengal, IN
1 Department of Mechanical Engineering, Kalyani Government Engineering College, Kalyani 741 235, West Bengal, IN
Source
Journal of the Association of Engineers, India, Vol 82, No 1-2 (2012), Pagination: 52-60Abstract
At the exit edge of the wokpiece, burrs are usually found during shaping operation. Gradual rotation of the positive shear plane to the negative shear plane may be the reason behind it. This is due to absence of any support material at the exit end of cut. In the present work, a number of orthogonal shaping experiments is performed on aluminium alloy (4600-M) in dry environment under different cutting velocities, orthogonal rake angles and exit edge bevel angles to observe the occurrence of burr formation. Experimental results are analysed through ANOVA to find out the significance of the effect of cutting parameters and exit edge bevel angle to control the exit burr formation. It is noted that exit edge bevel angle has the most significant effect. An exit edge bevel angle of 15° is recommended in shaping operation when burr becomes negligible.Keywords
Shaping, Edge Beveling, Exit Edge, Burr, Burr Minimization, ANOVA.- On Drilling Burr Reduction of Low Carbon Steel Workpiece
Abstract Views :321 |
PDF Views:3
Authors
Kapil Roy
1,
Partha Mukherjee
1,
Ujjwal Kumar Hansda
1,
Sourav Halder
1,
Suman Mandal
1,
Saikat Mandal
1,
Partha Pratim Saha
1,
Santanu Das
1
Affiliations
1 Mechanical Engineering Department, Kalyani Govt. Engineering College, Kalyani-741235, IN
1 Mechanical Engineering Department, Kalyani Govt. Engineering College, Kalyani-741235, IN
Source
Indian Science Cruiser, Vol 28, No 4 (2014), Pagination: 19-24Abstract
Burr is a undesirable projected material adhered to an edge of a job. After drilling operation, exit burr which is usually produced beyond the rear surface of the workpiece, causes serious problem in the assembly of finished product and to maintain its quality. So, reduction of burr is essential. A number of experiments have been done in the present work under dry and wet environment to observe its effect on burr formation under different drilling conditions. In this work, an exit edge bevel of 31 degree or a back-up support is provided, and its influence on burr formed under different cutting velocities and feeds has been experimentally studied.Keywords
Drilling, Machining, Burr, Exit-Edge Bevel, Back-Up Support, Dry Machining, Wet Condition.- Minimization of Burr Formation in Milling of Nickel Chrome Alloy Steels: Through Appropriate Selection of In-Plane Exit Angle
Abstract Views :206 |
PDF Views:3
Authors
Affiliations
1 Department of Mechanical Engineering, Kalyani Government Engineering College, Kalyani - 741235, West Bengal, IN
1 Department of Mechanical Engineering, Kalyani Government Engineering College, Kalyani - 741235, West Bengal, IN
Source
Indian Science Cruiser, Vol 25, No 5 (2011), Pagination: 43-49Abstract
Burrs are formed in milling at the exit of the workpiece and it is three dimensional in nature. The exit burr height and thickness are varied with in-plane exit angle. It is also the prime factor of burr formation mechanism. This work presents a condition to obtain minimum burr formation at different exit edge bevel angles of the workpiece made of nickel chrome alloy steel with the varied in-plane exit angle of the cutter. In this experiment under dry environment, negligible burr is observed at 15° exit edge bevel angle when in-plane exit angle is 60°.
- Effect of Exit Edge Beveling on Drilling Burr Formation Under Wet Environment
Abstract Views :231 |
PDF Views:0
Authors
Affiliations
1 Mechanical Engineering Department, Kalyani Govt. Engineering College, Kalyani, West Bengal, IN
1 Mechanical Engineering Department, Kalyani Govt. Engineering College, Kalyani, West Bengal, IN
Source
Manufacturing Technology Today, Vol 18, No 12 (2019), Pagination: 43-50Abstract
In drilling, burr formation is mostly observed at the exit edge of a workpiece. A burr can cause premature failure of cutting tools, dimensional errors in manufactured components and serious problems in assembly. Deburring operation is usually employed for removal of burr. For reduction of deburring cost and time, burr reduction is essentially needed. The present investigation on drilling burr formation demonstrates an approach for burr reduction at the exit edge of the workpiece. A number of experiments has been carried out on low carbon steel flats under water soluble oil cooled environment to explore the influence of different exit edge bevel angles on burr formation under different machining conditions. At 20o exit edge bevel angle, negligible burr is found at 0.2 mm/rev feed at all the cutting velocities considered and this condition may be adopted. However, with 25o exit edge bevel angle, sizeable burr is obtained making it unsuitable.Keywords
Drilling, Exit Edge Beveling, Wet Environment, Machining, Burr, Backup Support.References
- Altan, M & Altan, E: Investigation of burr formation and surface roughness in drilling engineering plastics, 'Journal of the Brazilian Society of Mechanical Sciences and Engineering', 36, 2014, 347–354.
- Aurich, JC; Dornfeld, D; Arrazola, PJ; Franke, V; Leitz, L & Min, S: Burrs - analysis, control and removal, 'CIRP Annals - Manufacturing Technology', vol. 58, no. 2, 2009, 519-542.
- Azarrang, S & Baseri, H Selection of dry drilling parameters for minimal burr size and desired drilling quality. Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering. vol. 231, no. 3, 2017, 480-489. https://doi.org/10.1177/0954408915609872.
- Beir, HM : Prediction model for burr formation.Handbuch Entagrattechnik, (62), Hanser, Munchen, 1999.
- Chern, GL: Experimental observation and analysis of burr formation mechanisms in face milling of aluminum alloys, 'International Journal of Machine Tools and Manufacture', vol. 46, no. 12-13, 2006, 1517-1525.
- Dornfeld, DA; Kim, J; Dechow, H; Hewson, J & Chern, L: Drilling burr formation in titanium alloy, Ti-6Al-4V, 'Annals of the CIRP', vol. 48, no. 1, 1999, 73-76.
- Dornfeld, DA: Strategies for preventing and minimizing burr formation. An e-Scholarship Respiratory. University of California, 2003.
- Gaitonde, VN & Karnik, SR: Minimizing burr size in drilling using artificial neural network (ANN)- particle swarm optimization (PSO) approach, 'Journal of Intelligent Manufacturing', vol. 23, 2012, 1783–1793.
- Gillespie, LK & Blotter, PT: The formation and properties of machining burrs, 'Transactions of the ASME, Journal of Engineering for Industry', vol. 98, no. 1, 1976, 66-74.
- Guo, Y & Dornfeld, DA: Finite element analysis of drilling burr minimization with back up material. In: Transactions of NAMRI/SMI, 26, 1998, 207-212.
- Kamboj, A; Kumar, S & Singh, H: Burr height and hole diameter error minimization in drilling of Al6063/15%/SiC composites using HSS step drills, 'Journal of Mechanical Science and Technology', vol. 29, no. 7, 2015, 2837–2846.
- Kaplan, Y; Nalbant, M & Gökkaya, H: The experimental investigation of the effect of machining parameters on burr formation in drilling of AISI D2 and AISI D3 cold work steels, 'Karaelmas Science and Engineering Journal', vol. 1, no. 1, 2011, 37-46. DOI: http://dx.doi.org/ 10.7212%2Fzkufbd.v1i1.11
- Karmakar, A; Chakraborty, S; Mandal, U & Das, S: An experimental investigation on chemical deburring to remove drilling burr, 'Journal of the Association of Engineers, India', vol. 83, no. 2, 2013, 78-89.
- Kim, J: Investigation on the geometric characteristics of drilling burr in stainless steel, LMA Research Reports. University of California, Berkeley, USA, 1999.
- Kim, J; Min, S & Dornfeld, DA: Optimization and control of drilling burr formation of AISI 304L and AISI 4118 based on drilling burr control charts, 'International Journal of Machine Tools and Manufacture', vol. 41, 2001, 923-936.
- Kim, YJ; Ko, SL; Kim, JH & Kim, BK: Development of intelligent system to minimize burr formation in face milling, 'International Journal of Machine Tools and Manufacture', vol. 29, 2006, 879-884.
- Kundu, S; Das, S & Saha, PP: An investigation on developing a drilling burr prediction model, 'Reason - A Technical Journal', vol. 13, no. 1, (2014a), 107-117.
- Kundu, S; Das, S & Saha, PP: Reduction of exit burr during drilling an aluminium alloy. In: 2nd International Conference on Advances in Mechanical Engineering and Its Interdisciplinary Areas, Kolaghat, West Bengal, India, (2015a), 311-317.
- Kundu, S; Das, S & Saha, PP: Optimization of drilling parameters to minimize burr by providing back-up support on aluminium alloy. Procedia Engineering, vol. 97, 2014, 230-240.
- Kundu, S; Das, S & Saha, PP: Effect of exit edge beveling on burr height in drilling aluminium alloy Proceedings of 6th International and 27th AIMTDR Conference, Pune, India, 2016, 1201-1205.
- Lauderbaugh, LK: Analysis of the effects of process parameters on exit burrs in drilling using a combined simulation and experimental approach, 'Journal of Materials Processing Technology', vol. 209, no. 4, 2009, 1909-1919.
- Leitz, L; Frank, V & Aurich, JC: Burr formation in drilling intersecting holes. In: CIRP International Conference on Burrs, University of Kaiserslautern, Germany, 2009, 99-106.
- Lin, TR & Shyu, RF : Improvement of tool life and exit burr using variable feeds when drilling stainless steel with coated drills, 'International Journal of Advanced Manufacturing Technology', 14, 2005, 23-34.
- Estimation of Drilling Burr Formation with Artificial Neural Network Analysis
Abstract Views :279 |
PDF Views:0
Authors
Affiliations
1 Kalyani Govt. Engineering College, Kalyani- 741235, Dist. Nadia, West Bengal, IN
2 Jalpaiguri Govt. Engineering College, Jalpaiguri- 735102, Dist. Jalpaiguri, West Bengal, IN
3 Kanchrapara Railway Workshop, Eastern Railway, West Bengal– 731345, IN
1 Kalyani Govt. Engineering College, Kalyani- 741235, Dist. Nadia, West Bengal, IN
2 Jalpaiguri Govt. Engineering College, Jalpaiguri- 735102, Dist. Jalpaiguri, West Bengal, IN
3 Kanchrapara Railway Workshop, Eastern Railway, West Bengal– 731345, IN
Source
Indian Science Cruiser, Vol 34, No 3 (2020), Pagination: 23-31Abstract
In drilling, the unwanted material adhered just beyond the hole produced in a workpiece material is known as a burr. In any conventional manufacturing process like drilling, milling, etc., machining burr is produced. There can be usually no conventional machining process which does not form burr. Presence of burr on the workpiece material leads to increasing production time as well as manufacturing cost. Minimization of burr height and thickness by changing machining process parameters and environmental condition yields decreasing production cost. The present work deals with prediction of burr height and burr thickness in the drilling process. An investigation has been performed by changing different process parameters like feed and cutting environment with respect to different drill diameters. From the experimental observation made by different sets of experiments with varying process parameters, minimum burr height and thickness are tried to find out. It is observed that using the back up support of the work material, burr height and thickness could be reduced remarkably. An Artificial Neural Network (ANN) model is developed using the experimental results. The neural network model estimates show close matching with the experimentally obtained results.Keywords
Machining, Drilling, Burr, Estimation, Artificial Neural Network, NN, ANN, Modeling.References
- P N Rao, Manufacturing Technology Metal Cutting and Machine Tools, Tata McGraw-Hill Publishing Co. Limited, New Delhi, 2005.
- V N Gaitonde, S R Karnik, B T Achyutha and B Siddeswarappa, Methodology of Taguchi Optimization for Multi-objective Drilling Problem to Minimize Burr Size, International Journal of Advanced Manufacturing Technology, Vol 34, page 1–8, 2007.
- P Stringer, G. Byrne and E Ahearne, Tool Design for Burr Removal in Drilling Operations, Advanced Manufacturing Science Research Centre, Mechanical Engineering, University College Dublin, Belfield, Ireland.
- L K Gillespie and P T Blotter, The Formation and Properties of Machining Burrs, Journal of Engineering for Industry, Transactions of the ASME, Vol 98, page 66-74, 1997.
- K Nakayama and M Arai, Burr Formation in Metal Cutting, CIRP Annals, Vol 36, page 33-36, 1987.
- L K Gillespie, Deburring Technology for Improved Manufacturing, Society of Manufacturing Engineers, Dearborn, MI, USA, 1981.
- K Takazawa, The Challenge of the Burr Technology and its Worldwide Trends, Bulletin of the Japan Society of the Precision Engineering, Vol 22, page 165-170, 1988.
- S Min, D A Dornfed and Y Nakao, Influence of Exit Surface Angle on Drilling Burr Formation, Transactions of the ASME, Journal of Manufacturing Science and Engineering, Vol 125, page 637-644, 2003.
- P P Saha and S Das, An Investigation on the Effect of Machining Parameters and Exit Edge Beveling on Burr Formation in Milling, Journal of Mechatronics and Intelligent Manufacturing, Vol 2, page 73-84, 2011.
- S Kundu, S Das and P P Saha, Optimization of Drilling Parameters to Minimize Burr by Providing Back up Support on Aluminum Alloy, Procedia Engineering, Vol 97, page 230-240, 2014.
- B Dey, C Barman, D Paul and N Mondal, Optimization on the Process Parameters to Minimize in Drilling Burr Formation with ANOVA Analysis, Proceedings of the INCOM18, page 464-467, 2018.
- N Mondal, B S Sarder, R N Halder and S Das, Observation of Drilling Burr and Finding out the Condition for Minimum Burr Formation, International Journal of Manufacturing Engineering, Vol 2014, page 1-12, 2014.
- V N Gaitonde, S R Karnik, B T Achyutha and B Siddeswarappa, GA Application to RSM Based Models for Burr Size Reduction in Drilling, Journal of Scientific & Industrial Research, Vol 64, page 347-353, 2005.
- S R Karnik, V Gaitonde and J P Davim, Integration Taguchi Principle with Genetic Algorithm to Minimize Burr in Drilling of AISI 316L StainlessSteel Using Neural Network Model, Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, Vol 221, page 1695-1704, 2007.
- V N Gaitonde and S R Karnik, Minimizing Burr Size in Drilling Using Artificial Neural NetworkParticle Swarm Optimization Approach, Journal of Intelligent Manufacturing, Vol 23, page 1783-1793, 2012.
- N Mondal, M C Mandal, B Dey and S Das, Genetic Algorithm Based Drilling Burr Minimization Using ANFIS and SVR, Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, Vol 221, page 1-13, 2019.
- N Mondal, S Mandal and M C Mandal, FPA Based Optimization of Drilling Burr Using Regression Analysis and ANN Model, Measurement, Vol 152, No 107327, 2020.