Home Technology Process parameter optimization for the magnetic abrasive finishing of SS310s steel
Article
Licensed
Unlicensed Requires Authentication

Process parameter optimization for the magnetic abrasive finishing of SS310s steel

  • Kandhasamy Suganeswaran , Rathinasamy Parameshwaran , Thangamuthu Mohanraj and Balasubramaniyam Meenakshipriya
Published/Copyright: January 27, 2020
Become an author with De Gruyter Brill

Abstract

In this work, the MAF set-up is fixed on a vertical milling machine, and experiments are performed for optimizing the process parameters using central composite design (CCD) based on response surface methodology (RSM). From these experiments, output responses like percentage improvement in surface roughness (%ΔRa) and the material removal rate (MRR) are measured. An airgap is maintained in the range of 1.5-2 mm at a voltage of 10-20 V. A series of 62 experiments are conducted using selected process parameters at different levels. A grey based fuzzy algorithm is used to optimize the multi-response characteristics. The grey fuzzy reasoning grade (GFRG) is used to identify the optimal process parameters. From the results, the highest GFRG value is obtained at a voltage of 15 V with a corresponding rotational speed, machining gap, mesh number and mixing ratio of 750 rpm, 1.75 mm, 800 and 1: 2, respectively. In addition, analysis of variance (ANOVA) is used to identify the percentage contribution of each parameter in the MAF process, and the same is verified through experimentation. Optical microscopic images confirm that the surface finish of SS310s has been improved using the MAF process.


* Correspondence Address, Kandhasamy Suganeswaran, Department of Mechatronics Engineering, Kongu Engineering College, Perundurai, 638060, Erode, Tamilnadu, India. E-mail:

Mr. Kandhasamy Suganeswaran is currently working as Assistant Professor in the Department of Mechatronics Engineering at Kongu Engineering College, Tamilnadu, India. He is currently pursuing his Ph.D. degree at Anna University, Chennai. He specializes in materials characterization, surface modification and automotive technology.

Dr. Rathanasamy Parameshwaran is currently working as Professor and Head in the Department of Mechatronics Engineering at Kongu Engineering College, Tamilnadu, India. He obtained his Ph.D. degree from Anna University, Chennai. He specializes in materials science, manufacturing process, surface coating, and optimization techniques.

Dr. Thangamuthu Mohanraj, born in 1988, is currently working as Assistant Professor in the Department of Mechanical Engineering at the Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham, India. He obtained his Ph.D. degree from Anna University, Chennai in 2018. He specializes in mechatronics, sensors and signal processing, sensor fusion, optimization and condition monitoring.

Dr. Balasubramaniam Meenakshipriya is currently working as Professor in the Department of Mechatronics Engineering at Kongu Engineering College, Tamil Nadu, India. She obtained her Ph.D degree at Anna University, Chennai. She specializes in mechatronics, sensors, control engineering, optimization and artificial intelligence.


References

1 F. Hashimoto , H.Yamaguchi, P.Krajnik, K.Wegener, R.Chaudhari, H. W.Hoffmeister, F.Kuster: Abrasive fine-finishing technology, CIRP Annals65 (2016), No. 2, pp. 59762010.1016/j.cirp.2016.06.003.Search in Google Scholar

2 Y. Wang D. Hu : Study on the inner surface finishing of tubing by magnetic abrasive finishing, International Journal of Machine Tools and Manufacture45 (2005), No. 1, pp. 434910.1016/j.ijmachtools.2004.06.014.Search in Google Scholar

3 H. Yamaguchi , J.KangF.Hashimoto: Metastable austenitic stainless steel tool for magnetic abrasive finishing, CIRP Annals-Manufacturing Technology60 (2011), No. 1, pp. 33934210.1016/j.cirp.2011.03.119.Search in Google Scholar

4 V. Jain , P.Kumar, P.Behera, S.Jayswal: Effect of working gap and circumferential speed on the performance of magnetic abrasive finishing process, Wear250 (2001), No. 1-12, pp. 38439010.1016/S0043-1648(01)00642-1.Search in Google Scholar

5 P. Kala , P. M.Pandey: Comparison of finishing characteristics of two paramagnetic materials using double disc magnetic abrasive finishing, Journal of Manufacturing processes17 (2015), pp. 637710.1016/j.jmapro.2014.07.007.Search in Google Scholar

6 P. Kanakarajan , S.Sundaram, A.Kumaravel, R.Rajasekar, R.Venkatachalam: Acoustic emission testing of the machining performance of SiC grinding wheel shaped Al2O3 ceramics, Materials Testing58 (2016), No. 10, pp. 90891210.3139/120.110938.Search in Google Scholar

7 P. Kanakarajan , S.Sundaram, A.Kumaravel, R.Rajasekar, P. S.Kumar: Acoustic emission testing of surface roughness and wear caused by grinding of ceramic materials, Materials Testing57 (2015), No. 4, pp. 33734210.3139/120.110714.Search in Google Scholar

8 J. Sambharia , H. S.Mali: Recent developments in abrasive flow finishing process: A review of current research and future prospects, Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture233 (2017), No. 2, pp. 38839910.1177/0954405417731466.Search in Google Scholar

9 R. S. Mulik , P. M.Pandey: Magnetic abrasive finishing of hardened AISI 52100 steel, International Journal of Advanced Manufacturing Technology55 (2011), No. 5-8, pp. 50151510.1007/s00170-010-3102-8.Search in Google Scholar

10 L. D. Yang , C. T.Lin, H. M.Chow: Optimization in MAF operations using Taguchi parameter design for AISI304 stainless steel, International Journal of Advanced Manufacturing Technology42 (2009), No. 5-6, pp. 59560510.1007/s00170-008-1612-4.Search in Google Scholar

11 V. V. Shanbhag , K.Naveen, N.Balashanmugam, P.Vinod: Modelling for evaluation of surface roughness in magnetic abrasive finishing of flat surfaces, International Journal of Precision Technology6 (2016), No. 2, pp. 15917010.1504/ijptech. 2016.078190.Search in Google Scholar

12 K. Judal , V.Yadava: Cylindrical electrochemical magnetic abrasive machining of AISI-304 stainless steel, Materials and Manufacturing Processes28 (2013), No. 4, pp. 44945610.1080/10426914.2012.736653.Search in Google Scholar

13 A. Misra , P. M.Pandey, U.Dixit: Modeling and simulation of surface roughness in ultrasonic assisted magnetic abrasive finishing process, International Journal of Mechanical Sciences133 (2017), pp. 34435610.1016/j.ijmecsci.2017.08.056.Search in Google Scholar

14 M. Vahdati , S.Rasouli: Evaluation of parameters affecting magnetic abrasive finishing on concave freeform surface of al alloy via RSM method, Advances in Materials Science and Engineering2016 (2016), pp. 11510.1155/2016/5256347.Search in Google Scholar

15 T. Shinmura , K.Takazawa, E.Hatano, M.Matsunaga, T.Matsuo: Study on magnetic abrasive finishing, CIRP Annals-Manufacturing Technology39 (1990), No. 1, pp. 32532810.1016/S0007-8506(07)61064-6.Search in Google Scholar

16 S. Ahmad , S.Gangwar, P. C.Yadav, D.Singh: Optimization of process parameters affecting surface roughness in magnetic abrasive finishing process, Materials and Manufacturing Processes32 (2017), No. 15, pp. 1723172910.1080/10426914.2017.1279307.Search in Google Scholar

17 D. K. Singh , V.Jain, V.Raghuram: Experimental investigations into forces acting during a magnetic abrasive finishing process, The International Journal of Advanced Manufacturing Technology30 (2006), No. 7-8, pp. 65266210.1007/s00170-005-0118-6.Search in Google Scholar

18 G. Kremen , E.Elsayed, V.Rafalovich: Mechanism of material removal in the magnetic abrasive process and the accuracy of machining, International Journal of Production Research34 (1996), No. 9, pp. 2629263810.1080/ 00207549608905048.Search in Google Scholar

19 S. Shankar , T.Mohanraj, S. K.Thangarasu: Multi-response milling process optimization using the Taguchi method coupled to grey relational analysis, Materials Testing58 (2016), No. 5, pp. 46247010.3139/120.110869.Search in Google Scholar

20 P. Kala , P. M.Pandey: Experimental investigations into ultrasonic-assisted double-disk magnetic abrasive finishing of two paramagnetic materials, Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture231 (2017), No. 6, pp. 1021103810.1177/0954405415581153.Search in Google Scholar

21 R. Mulik , P.Pandey: Experimental investigations and optimization of ultrasonic assisted magnetic abrasive finishing process, Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture225 (2011), No. 8, pp. 1347136210.1177/09544054jem2122.Search in Google Scholar

22 S. Dewangan , S.Gangopadhyay, C. K.Biswas: Multi-response optimization of surface integrity characteristics of EDM process using grey-fuzzy logic-based hybrid approach, Engineering Science and Technology – An International Journal18 (2015), No. 3, pp. 36136810.1016/j.jestch.2015.01.009.Search in Google Scholar

23 M. Sakthivel , S.Vijayakumar: Optimization of drilling parameters for fiber metal mesh laminate composites using Grey relational analysis, Materials Testing58 (2016), No. 7-8, pp. 62263110.3139/120.110906.Search in Google Scholar

24 A. Venkatachalam , P. V. S.Anurag, T. D.Sadanand, R.Nachimuthu: Optimization of the milling parameters for an Al/Si3N4 functionally graded composite using grey relational analysis, Materials Testing60 (2018), No. 2, pp. 21522110.3139/120.111128.Search in Google Scholar

25 U. Esme : Taguchi-based Grey relation optimization of machining parameters and cutting path strategies in CNC pocket milling operations, Materials Testing56 (2014), No. 9, pp. 74174710.3139/120.110626.Search in Google Scholar

Published Online: 2020-01-27
Published in Print: 2020-02-03

© 2020, Carl Hanser Verlag, München

Downloaded on 20.2.2026 from https://www.degruyterbrill.com/document/doi/10.3139/120.111467/html
Scroll to top button