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Patil, Sairaj Bharat
- Multiple-Criteria Decision Analysis (MCDA) and Optimization of Hard Turning using Grey Relational Analysis (GRA)
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Authors
Sairaj Bharat Patil
1,
Onkar Eknath Patil
1,
Tushar Ajit Patole
1,
Mrunmayee Mahesh Ghorpade
1,
Sunil J. Raykar
1
Affiliations
1 D Y Patil College of Engineering and Technology, Kolhapur, Maharashtra, IN
1 D Y Patil College of Engineering and Technology, Kolhapur, Maharashtra, IN
Source
Manufacturing Technology Today, Vol 20, No 7-8 (2021), Pagination: 45-52Abstract
This paper presents Multiple-Criteria Decision Analysis (MCDA) and Optimization approach for hard turning process of OHNS steel based with focus on wiper insert geometry. Wiper inserts are generally used in milling and turning operations for better surface finish. Since wiper insert can provide better surface finish during hard turning operation it can be considered as a potential substitute for grinding operation. In this investigation hard turning trials are conducted on OHNS steel with 55 HRc using conventional and wiper insert of 0.8 and 1.2 mm nose radius. Taguchi based L36 array with five process parameters namely type of insert, nose radius, speed (RPM), depth of cut and feed is used for Design of Experiment. Five responses are evaluated which are roughness parameters Ra and Rt, metal removal rate, power consumption and cycle time. Grey Relational Analysis (GRA) based Multiple-Criteria Decision Analysis (MCDA) and Optimization is carried out to find out optimum process parameters for responses mentioned above. The optimized process parameters during the investigation are Wiper Insert geometry with nose radius 1.2 mm, speed of 1200 RPM, feed of 0.2 mm/rev. and depth of cut 0.1 mm.Keywords
Wiper Inserts, Surface Roughness, Turning, Optimization, Grey Relational Analysis.
References
- Caydas, U., & Hascalık, A. (2008). Use of the grey relational analysis to determine optimum laser cutting parameters with multi-performance characteristics. Optics & Laser Technology. 40(7), 987-994.
- D’Addona, D.M., & Raykar, S. J. (2016). Analysis of surface roughness in hard turning using wiper insert geometry. Procedia CIRP. 41, 841-846.
- Deng J. (1989). Introduction to grey system. The Journal of Grey System.1 (1), 1–24.
- Elbah, M., Yallese, M. A., Aouici, H., Mabrouki, T., & Rigal, J. F. (2013). Comparative assessment of wiper and conventional ceramic tools on surface roughness in hard turning AISI 4140 steel. Measurement. 46(9), 3041-3056.
- http://www.sandvik.coromant.com/en-gb/knowledge/general_turning/selection-of-inserts/geometry-information. A.O:25/5/2021, 11.30am IST.
- Lin, J.L., & Lin , C.L. (2002). The use of the orthogonal array with grey relational analysis to optimize the electrical discharge machining process with multiple performance characteristics. International Journal of Machine Tools & Manufacture. 42(2), 237–244.
- Oliveira, A. J., Diniz, A. E., & Ursolino, D. J. (2009). Hard turning in continuous and interrupted cut with PCBN and whisker-reinforced cutting tools. Journal of Materials Processing Technology. 209(12-13), 5262–5270.
- Poulachon, G., Bandyopadhyay, B. P., Jawahir, I. S., Pheulpin, S., & Seguin, E. (2004). Wear behavior of CBN tools while turning various hardened steels. Wear. 256(3-4), 302-310.