Journal Press India^®

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This paper aims to study the effect of the machining parameters on surface roughness. A literature survey has been presented to identify and mention the gap for further research after the study of a good number of published papers.

Keywords

Machining Parameters; Speed; Feed; Depth of Cut; Nose Radius; Rake Angle; Surface Roughness

1. A. V. N. L. Sharma, K. Venkatasubbaiah, P. S. N.Raju, Parametric Analysis and Multi Objective Optimization of Cutting Parameters in Turning Operation of EN353 – With CVD Cutting Tool Using Taguchi Method, International Journal of Engineering and Innovative Technology, 2(9), 2013


2. A.V. N. L. Sharma, Mr. P. Satyanarayana Raju, Mr. A. Gopichand, Dr. K. V. Subbaiah, Optimization Of Cutting Parameters On Mild Steel With HSS & Cemented Carbide Tipped Tools Using ANN,IJRET / NOV 2012, 1(3), 2012


3. A. Y. Mustafa, T. Ali, Determination and optimization of the effect of cutting parameters and work piece length on the geometric tolerances and surface roughness in turning operation, International Journal of the Physical Sciences, 6(5), 2011, 1074-1084


4. A. K. M. Nurul Amin, Md. Ruhul Amin Sarker, Mahiuddin Ahmed, A.N. Mustafizul Karim, Selection of cemented carbide turning tools using EMF and optimization criteria,Journal of Materials Processing Technology,77,1998, 59–63


5. Alexandru STANIMIR, Marius ZAMFIRACHE, Nicolae Cătălin EFTENIE, Regressions Modeling of Surface Roughness in Finish Turning of Hardened 205cr115 Steel Using Factorial Design Methodology, Fiabilitate si Durabilitate - Fiability & Durability no 1(7)/ 2011 Editura “Academica Brâncuşi” , Târgu Jiu, ISSN 1844 – 640X


6. Ali Riza Motorcu,The Optimization of Machining Parameters Using the Taguchi Method for Surface Roughness of AISI 8660 Hardened Alloy Steel, Strojniški vestnik - Journal of Mechanical Engineering 56(2010) 6, 391-401


7. Aloysius U. Anagonye, David A. Stephenson, Modeling Cutting Temperatures for Turning Inserts With Various Tool Geometries and Materials,Journal Of Manufacturing Science And Engineering, 2002


8. Ananthakumar. P, Dr. Ramesh. M, Parameshwari, Optimization of Turning Process Parameters Using Multivariate Statistical Method-PCA Coupled with Taguchi Method, International Journal of Scientific Engineering and Technology, 2(4), 2013, 263-267


9. Ataollah Javidi, Ulfried Rieger, Wilfried Eichlseder, The effect of machining on the surface integrity and fatigue life, International Journal of Fatigue, 2008


10. B. Sidda Reddy, J. Suresh Kumar , K. Vijaya Kumar Reddy, Prediction of Surface Roughness in Turning Using Adaptive Neuro-Fuzzy Inference System, Jordan Journal of Mechanical and Industrial Engineering, 3(4), 2009, 252 - 259


11. B. Y. Lee a, Y.S. Tarng, Surface roughness inspection by computer vision in turning operations, International Journal of Machine Tools & Manufacture 41, 2001, 1251–1263


12. D. Lazarević, M. Madić, P. Janković, A. Lazarević, Cutting Parameters Optimization for Surface Roughness in Turning Operation of Polyethylene (PE) Using Taguchi Method, Tribology in Industry, 34(2), 2012, 68-73


13. E. Daniel Kirby, Optimizing the Turning Process Toward an Ideal Surface Roughness Target, Journal of Industrial Technology, 26(1), 2010


14. Hasan GOKKAYA, Muammer NALBANT, The Effects of Cutting Tool Coating on the Surface Roughness of AISI 1015 Steel Depending on Cutting Parameters, Turkish J. Eng. Env. Sci. 30 (2006), 307 – 316.


15. Hassan, Suliman ,Two stage method for obtaining machine Ability data for the steel turning process, International Journal of Production Research 26 (1988), 1861-1876


16. Ilhan Asiltürk , Harun Akkus, Determining the effect of cutting parameters on surface roughness in hard turning using the Taguchi method,www.elsevier.com/ locate/measurement, Measurement 44 (2011) 1697–1704


17. John Cooper, Dr. Bruce DeRuntz, The Relationship Between the Work piece Extension Length/Diameter Ratio and Surface Roughness in Turning Applications, Journal of Industrial Technology, 23(2), 2007


18. J. L. C. Salles M. T. T. Gonçalves, Effects of Machining Parameters on Surface Quality of the Ultra High Molecular Weight Polyethylene (UHMWPE), Matéria, 8(1), 2003, 1-10


19. Jitendra Verma, Pankaj Agrawal, Lokesh Bajpai, Turning Parameter Optimization for Surface Roughness Of ASTM A242 Type-1 Alloys Steel By Taguchi Method, International Journal of Advances in Engineering & Technology, 2012.


20. K. Kadirgama., M. M. Noor, M. M. Rahman, M. R. M. Rejab, C. H. C. Haron, K. A. Abou-El-Hossein, Surface Roughness Prediction Model of 6061-T6 Aluminium Alloy Machining Using Statistical Method, European Journal of Scientific Research ISSN 1450-216X, 25(2), 2009, 250-256


21. K. Mani lavanya, R. K. Suresh, A. Sushil Kumar Priya, V. Diwakar Reddy, Optimization of Process Parameters in Turning Operation of AISI-1016 Alloy Steels with CBN Using Taguchi Method And Anova, IOSR Journal of Mechanical and Civil Engineering (IOSR-JMCE), 7(2), 2013, 24-27


22. K. Palanikumar, L. Karunamoorthy, R. Karthikeyan, Optimizing the Machining Parameters for Minimum Surface Roughness in Turning of GFRP Composites Using Design of Experiments, J. Mater. Sci. Technol., 20(4), 2004


23. L B Abhang and M Hameedullah, Statistical Modeling of Surface Roughness produced by Wet turning using soluble oil-water mixture lubricant, AMAE Int. J. on Manufacturing and Material Science, 1(1), 2011


24. L. Rico, S. Noriega, J.L. García, E.A. Martínez, R. Ñeco, F.J. Estrada, Effect of the Side Cutting–Edge Angle on the Surface Roughness for Aluminum 1350 in the Turning Operation by Taguchi Method, Journal of Applied Research and Technology, 8(3), 2010 395‐405


25. Lambert, B. K., Taraman, K., A surface roughness model for a turning operation, International Journal of Production Research, 12, 1974, 691- 703.


26. M. Anthony Xavior, M. Adithan, Determining the influence of cutting fluids on tool wear and surface roughness during turning of AISI 304 austenitic stainless steel, journal of materials processing technology, 2008


27. M. Broˇzek, Cutting conditions optimization when turning overlays, Journal of Materials Processing Technology 168, 2005, 488–495


28. M. Kaladhar, K. Venkata Subbaiah, Ch. Srinivasa Rao and K. Narayana Rao, Optimization Of Process Parameters In Turning Of Aisi202 Austenitic Stainless Steel, ARPN Journal of Engineering and Applied Sciences, 5(9), 2010


29. M. Naga Phani Sastry and. K. Devaki Devi, Optimization of Performance Measures in CNC Turning using Design of Experiments (RSM),Science Insights: An International Journal, 2011


30. Manish Kumar Yadav, P. K. Sinha, Gopal P. Sinha, A comparative study of surface roughness in Multi tool turning with single tool turning through factorial design of experiments, International Journal of Scientific & Engineering Research, 3(8), 2012


31. Mohan Singh, Dharmpal Deepak, Manoj Singla, A comprehensive study of operational condition for turning process to optimize the surface roughness of object, International Journal on Emerging Technologies 1(1): 97-101, 2010


32. Muhammad Munawar, Nadeem A. Mufti and Hassan Iqbal, Optimization of Surface Finish in Turning Operation by Considering the Machine Tool Vibration using Taguchi Method, Mehran University Research Journal of Engineering & Technology, 31(1), 2012


33. Mustafa Günay, Emre Yücel, Application of Taguchi method for determining optimum surface roughness in turning of high-alloy white cast iron, Measurement 46 (2013) 913–919


34. Neha Khatri, Vinod Mishra, Rama Gopal V Sarepaka, Optimization of Process Parameters to Achieve Nano Level Surface Quality on Polycarbonate, International Journal of Computer Applications (0975 – 888), 48–13, 2012


35. Nikunj Patel, R. K. Patel, U. J. Patel, B. P. Patel, Insert Selection for Turning Operation on CNC Turning Centre using MADM Methods, International Journal of Latest Trends in Engineering and Technology (IJLTET), 1(3), 2012


36. Osarenmwinda, J O, Empirical model for estimating the surface roughness of machined components under various cutting speed, J. Appl. Sci. Environ. Manage. 16 (1),2012, 65 - 68


37. Rasch, F.O., Rolstadas, Series of finish turning tests under variation of parameters: material quality, tool quality, tool nose radius, feed, speed and cutting time, Journal of Materials Processing Technology, 132, 1971, 203-214


38. Raviraj Shetty, R. Pai, V. Kamath, S. S. Rao, Study on Surface Roughness Minimization In Turning Of Dracs Using Surface Roughness Methodology And Taguchi Under Pressured Steam Jet Approach, ARPN Journal of Engineering and Applied Sciences, 3(1), 2008


39. Samuel.M, K. Chandrasekaran, C. Parthasarathy, B. Sivapragash, D. Kamalakkannan, Prediction of Surface Roughness Responses in Turning on Cu Graphite MMC Fabricated Through Stir Casting Method, International Journal of Emerging Technology and Advanced Engineering, 3(3), 2013


40. Ship-Peng Lo, An analysis of cutting under different rake angles using the finite element method, Journal of Materials Processing Technology 105 (2000) 143±151


41. Sita Rama Raju K, Rajesh S, Rama Murty Raju P ,Prediction of surface roughness in turning process using soft computing techniques ,Int. Journal of Applied Sciences and Engineering Research, 1(2), 2012


42. Srinivasan, A., R. M. Arunachalam, S. Ramesh, J. S. Senthilkumaar, Machining Performance Study on Metal Matrix Composites-A Response Surface Methodology Approach, American Journal of Applied Sciences 9 (4): 478-483, 2012


43. T. Sreenivasa Murthy, R.K. Suresh, G. Krishnaiah, V. Diwakar Reddy, Optimization of process parameters in dry turning operation of EN 41B alloy steels with cermet tool based on the Taguchi method, International Journal of Engineering Research and Applications (IJERA), 3(2), 2013, 1144-1148


44. Upinder Kumar Yadav, Deepak Narang, Pankaj Sharma Attri, Experimental Investigation And Optimization Of Machining Parameters For Surface Roughness In CNC Turning By Taguchi Method, International Journal of Engineering Research and Applications, 2(4), 2012, 2060-2065


45. V. R. Chaudhari, D. B. Gohil, Prediction of Surface Roughness Using Artificial Neural Network: a review, International Journal of Emerging trends in Engineering and Development, 2(4), 2012


46. Vipin, Harish Kumar, Surface Roughness Prediction Model by Design of Experiments for Turning Leaded Gun Metal, International Journal of Applied Engineering Research, 4(12), 2009, 2621–2628


47. Wada Tadahiro, Hiro Kazuki, Nakanishi Jun, Cutting Performance of Turning Insert with Three-arcs-shaped Finishing Edge, Applied Mechanics and Materials, 110-116, 2012, 1630-1636


48. Wassila Bouzid, Cutting parameter optimization to minimize production time in high speed turning, Journal of Materials Processing Technology 161, 2005, 388–395


49. Yigit Kazancoglu, Ugur Esme, Melih Bayramoglu, Onur Guven, Sueda Ozgun, Multi-Objective Optimization Of The Cutting Forces In Turning Operations Using The Grey-Based Taguchi Method, Materiali in tehnologije / Materials and technology 45 (2011) 2, 105–110


50. Yongjin Kwon, Gary W. Fischer ,A novel approach to quantifying tool wear and tool life measurements for optimal tool management, International Journal of Machine Tools & Manufacture 43 (2003) 359–368


51. Young Kug Hwang, Choon Man Lee, Surface roughness and cutting force prediction in MQL and wet turning process of AISI 1045 using design of experiments†, Journal of Mechanical Science and Technology 24(8), (2010) 1669~1677


52. Yue Jiao, Shuting Lei, Z.J. Pei, E.S. Lee ,Fuzzy adaptive networks in machining process modeling: surface roughness prediction for turning operations, International Journal of Machine Tools & Manufacture 44 (2004) 1643–1651


53. Zhanqiang Liu, Peng Zhang, Peng Guo and Xing Ai, Surface Roughness in High Feed Turning with Wiper Insert, Key Engineering Materials, 375-376, (2008), 406-410