Journal Press India^®

Author Details ( * ) denotes Corresponding author

The aim is to study the machining parameters and effect of them on surface roughness. A good number of published papers have been studied and a literature review has been presented to identify and mention the gap for further research

Keywords

Speed; Feed; Depth of Cut; Nose Radius; Surface Roughness; Turning

1. Adeel H. Suhail, N. Ismail,S. V. Wong, N. A. Abdul Jalil, Optimization of Cutting Parameters Based on Surface Roughness and Assistance of Workpiece Surface Temperature in Turning Process, American J. of Engineering and Applied Sciences 3(1): 102-108, 2010


2. Adnan Jameel, Mohamad Minhat, Md. Nizam, Using Genetic Algorithm to Optimize Machining Parameters in Turning Operation : A Review, International Journal of Scientific and Research Publications, 3(5), 2013


3. Ali Riza MOTORCU, Surface Roughness Evaluation When Machining Carbon Steel With Ceramic Cutting Tools,Uludağ Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi, Cilt 14, Sayı 1, 2009


4. Anselmo Eduardo Diniz , Adilson Jose´ de Oliveira, Optimizing the use of dry cutting in rough turning steel operations, International Journal of Machine Tools & Manufacture 44 (2004) 1061–1067


5. B. Y. Leea, Y.S. Tarngb, H.R. Liic,An investigation of modeling of the machining database in turning operations, Journal of Materials Processing Technology 105 (2000) 1±6


6. C. H. Che Haron , A. Ginting, J.H. Goh, Wear of coated and uncoated carbides in turning tool steel, Journal of Materials Processing Technology 116 (2001) 49–54


7. C. Y. Niana, W.H. Yangb, Y.S. Tarngb, Optimization of turning operations with multiple performance characteristics, Journal of Materials Processing Technology 95 (1999) 90-96


8. C. Y. H. Lim , S.C. Lim, K.S. Lee, The performance of TiN-coated high speed steel tool inserts in turning, Tribology International 32 (1999) 393–398


9. D. Gillibrand, M. Sarwar, C.T. Pierce, The economic benefit of finish turning with coated carbide,Surface and Coatings Technology 86-87, 1996


10. D. Philip Selvaraj, P. Chandramohan, Optimization of Surface Roughness of AISI 304 Austenitic Stainless Steel In Dry Turning Operation Using Taguchi Design Method, Journal of Engineering Science and Technology, 5(3), 2010, 293 - 301


11. Dejan Tanikic, Miodrag Manic, Goran Radenkovic, Dragan Mancic,Metal cutting process parameters modeling: an artificial intelligence approach, Journal of Scientific & Industrial Research, 68, 2009, 530-539


12. H. Yanda, J.A. Ghani, M. N. A. M. Rodzi, K. Othman and C.H.C. Haron, Optimization of Material Removal Rate, Surface Roughness and Tool Life On Conventional Dry Turning Of FCD 700,International Journal of Mechanical and Materials Engineering (IJMME), 5(2), 2010, 182-190


13. Hardeep Singh, Rajesh Khanna, M. P. Garg, Effect of Cutting Parameters on MRR and Surface Roughness in Turning EN-8,International Journal of Current Engineering and Technology, 1(1), 2011


14. Hari Singh and Pradeep Kumar, Mathematical models of tool life and surface roughness for turning operation through response surface technolgy, Journal of Scientific & Industrial Research, 66, 2007, 220-226


15. I. A. Choudhury, M.A. El-Baradie, Tool-life prediction model by design of experiments for turning high strength steel (290 BHN),Journal of Materials Processing Technology 77 (1998) 319–326


16. J. Paulo Davima, V.N. Gaitondeb, S.R. Karnikc, Investigations into the effect of cutting conditions on surface roughness in turning of free machining steel by ANN models, journal of materials processing technology, 2007


17. J. Wang, The effect of the multi-layer surface coating of carbide inserts on the cutting forces in turning operations, Journal of Materials Processing Technology 97 (2000) 114±119


18. Jakhale Prashant P, Jadhav B. R., Optimization of Surface Roughness of Alloy Steel by Changing Operational Parameters And Insert Geometry in the Turning Process., International Journal of Advanced Engineering Research and Studies, 2013/17-21


19. K. Palanikumara, F. Matab, J. Paulo Davimc, Analysis of surface roughness parameters in turning of FRP tubes by PCD tool, journal of materials processing technology, 2008


20. Karin Kandananond, The Determination of Empirical Model for Surface Roughness in Turning Process Using Design of Experiment, WSEAS Transactions on Systems, 10(8), 2009


21. M. Cemal Cakir, Yahya Isik, Detecting tool breakage in turning AISI 1050 steel using coated and uncoated cutting tools, Journal of Materials Processing Technology 159 (2005) 191–198


22. M. Kaladhar, K. V. Subbaiah, Ch. Srinivasa Rao and K. Narayana Rao, Application of Taguchi approach and Utility Concept in solving the Multi-objective Problem when turning AISI 202 Austenitic Stainless Steel, Journal of Engineering Science and Technology Review 4 (1) (2011) 55-61


23. M. Kaladhar, K. Venkata Subbaiah, Ch. Srinivasa Rao, Determination of Optimum Process Parameters during turning of AISI 304 Austenitic Stainless Steels using Taguchi method and ANOVA, International Journal of Lean Thinking, 3(1), 2012


24. M. Venkata Ramana, A. Venkata Vishnu, G. Krishna Mohan Rao and D. Hanumantha Rao, Experimental Investigations, Optimization Of Process Parameters And Mathematical Modeling In Turning Of Titanium Alloy Under Different Lubricant Conditions, IOSR Journal of Engineering (IOSRJEN), 2(1), 2012, 086-101


25. M. Ramalinga Reddy, P. Ravi Kumar, G.Krishna Mohana Rao, Effect Of Feed Rate On The Generation Of Surface Roughness In Turning, International Journal of Engineering Science and Technology (IJEST), 3(11), 2011


26. B. Malakooti, V. Raman, An interactive multi-objective artificial neural network approach for machine setup optimization., Journal of Intelligent Manufacturing, 11, 2000, 41-50.


27. Manish Kr. Yadav, P. K. Sinha, Gopal P. Sinha, Development of Techniques Using Design of Experiments for Acquiring Appropriate Surface Finish by Multi Tool Machining, VSRD- International Journal of Mechanical, Auto. & Prod. Engg, 2(4), 2012, 140-150


28. R. A. Patil, V. D. Shinde, H. V. Shete, S. P. Nevagi, Effect of High Pressure Coolant on Surface Finish In Turning Operation, International Journal of Innovative Research in Science, Engineering and Technology, 2(7), 2013


29. N. R. Dhar , S. Paulb, A. B. Chattopadhyay, The influence of cryogenic cooling on tool wear, dimensional accuracy and surface finish in turning AISI 1040 and E4340C steels, Wear 249 (2002) 932–942


30. P. G. Benardos, G.-C. Vosniakos, Predicting surface roughness in machining: a review, International Journal of Machine Tools & Manufacture 43(2003) 833–844


31. S. K. Pal, Chakraborty, Surface roughness prediction in turning using artificial neural network, Springer-Verlag London Limited, 2005


32. K. Palanikumar, R Karthikeyan, Assessment of factors influencing surface roughness on the machining of Al/SiC particulate composites, Journal of Materials and Design, 28, 2007, 1584-1591


33. Praveen Pandey, V.K. Gupta, Duplex machining: an innovative approach for better dimensional accuracy and surface finish, Int. J. Machining and Machinability of Materials, 101/2, 2011


34. S. Purushothaman, Srinivasa, A back propagation algorithm applied to tool wear monitoring, Int. J. Mach Tools Manufact.34.5, 1994, 625


35. Q. Meng, J. A. Arsecularatne, P. Mathew, Calculation of optimum cutting conditions for turning operations using a machining theory, International Journal of Machine Tools & Manufacture 40 (2000) 1709–1733


36. R. Karuppasamy, A. K. Shaik Dawood, G. Karuppusami, Reducing the Surface Roughness of Pneumatic Cylinder Piston Rod in Turning Process Using Genetic Algorithm, IRACST – Engineering Science and Technology: An International Journal (ESTIJ), 2250-3498, 2(4), 2012


37. R. T. Coelho, L.R. Silva, A. Braghini, Jr., A.A. Bezerra, Some effects of cutting edge preparation and geometric modifications when turning INCONEL 718TM at high cutting speeds, Journal of Materials Processing Technology 148 (2004) 147–153


38. Rahul Davis, A Parameteric Design Study of Surface Roughness In Dry Turning Operation of EN24 Steel, International Journal of Mechanical Engineering and Technology, 3(2), 2012


39. Raman Kumar, Raman Kumar, Jaspreet Singh Rai and Navneet Singh Virk, Analysis The Effects Of Process Parameters In En24 Alloy Steel During CNC Turning By Using MADM, International Journal of Innovative Research in Science, Engineering and Technology, 2(7), 2013


40. L. L. R. Rodrigues, A. N. Kantharaj, B. Kantharaj, Freitas W. R. C. and Murthy B.R.N., Effect of Cutting Parameters on Surface Roughness and Cutting Force in Turning Mild Steel, Research Journal of Recent Sciences, 1(10), 19-26, 2012


41. Ruey-Jing Liana, Bai-Fu Linb, Jyun-Han Huangb, A grey prediction fuzzy controller for constant cutting force in turning, International Journal of Machine Tools & Manufacture 45 (2005) 1047–1056


42. S. S. K. Deepak,A Geometric Programming Based Model for Cost Minimization of Turning Process with Experimental Validation, International Journal of Engineering Sciences & Emerging Technologies, 2012, 3(1), 81-89


43. S. S. K. Deepak, Cutting Speed and Feed Rate Optimization for Minimizing Production Time of Turning Process, International Journal of Modern Engineering Research (IJMER), 2(5), 2012, 3398-3401


44. S. V. Bhaskara Reddy , M. S. Shunmugam , T. T. Narendran ,Optimal sub-division of the depth of cut to achieve minimum production cost in multi-pass turning using a genetic algorithm, Journal of Materials Processing Technology 79 (1998) 101–108


45. Safeen Y. Kassab, Younis K. Khoshnaw, The Effect of Cutting Tool Vibration on Surface Roughness of Work piece in Dry Turning Operation, Eng. & Technology, 25(7), 2007


46. Sahin, Yusuf and Motorcu A.Riza, Surface Roughness Prediction Model in Machining of Carbon Steel by PVD Coated Cutting Tools, American Journal of Applied Sciences, 1, 2004, 12-17


47. Sudhansu Ranjan Das, Amaresh Kumar, and Debabrata Dhupal, Effect of Machining Parameters on Surface Roughness in Machining of Hardened AISI 4340 Steel Using Coated Carbide Inserts, International Journal of Innovation and Applied Studies, 2(4), 2013, 445-453


48. Suleiman Abdulkareem, Usman Jibrin Rumah and Apasi Adaokoma, Optimizing Machining Parameters during Turning Process, International Journal of Integrated Engineering, 3(1), 2011, 23-27


49. R. M. Sundaram, B. K. Lambert, Mathematical models to predict surface finish in fine turning of steel: Part I and Part II, International Journal of Production Research, 19(5):1981, 557-564.


50. R. M. Sundaram, B. K. Lambert, Surface roughness variability of ANSI 4140 steel in fine turning using carbide tools, International Journal of Production Research, 17(3):1979, 249-258


51. W. H. Yang, Y. S. Tarng ,Design optimization of cutting parameters for turning operations based on the Taguchi method, Journal of Materials Processing Technology 84 (1998) 122–129


52. Y. Sahin, A. R. Motorcu ,Surface roughness model in machining hardened steel with cubic boron nitride cutting tool, International Journal of Refractory Metals & Hard Materials 26 (2008) 84–90


53. Yansong Guoa, Jef Loendersb, Joost Dufloua, Bert Lauwersa, Optimization of energy consumption and surface quality in finish turning, Available online at www.sciencedirect.com, Procedia CIRP 1 (2012) 551–556