A Fuzzy Logic based Model to Predict the Improvement in Surface Roughness in Magnetic Field Assisted Abrasive Finishing

Abstract In this paper the effect of process parameters during Magnetic Field Assisted Abrasive Micro Finishing (MFAAF) of SS316L material is reported. Based on the experimental results obtained, S/N ratio and ANOVA analyses were made to identify the significant process parameters to improve the percentage improvement of surface roughness (%ΔRa). From the results it is observed that the process parameters like voltage applied to the electromagnet, machining gap, rotational speed of electromagnet followed by abrasive size are significant to improve the %ΔRa. Based on the process parameters selected from the S/N ratio analysis and ANOVA analysis, a fuzzy logic model has been developed to predict the %ΔRa. To develop the fuzzy model, four membership functions based on the four process parameters are assigned to be connected with each input of the model. The developed fuzzy model is tested using three different set of process parameters values that are not used in already existing experimental data set. It is found that the developed fuzzy model has a close relation with the experimental values with the maximum deviations of 7.16%.

[1]  Lieh-Dai Yang,et al.  Optimization in MAF operations using Taguchi parameter design for AISI304 stainless steel , 2009 .

[2]  Vijay K. Jain,et al.  Advanced Machining Processes , 2014 .

[3]  Je Hoon Oh,et al.  Prediction of surface roughness in magnetic abrasive finishing using acoustic emission and force sensor data fusion , 2011 .

[4]  Henry C. W. Lau,et al.  An expert system to support the optimization of ion plating process: an OLAP-based fuzzy-cum-GA approach , 2003, Expert Syst. Appl..

[5]  Hamid Baseri,et al.  Artificial evolutionary approaches to produce smoother surface in magnetic abrasive finishing of hardened AISI 52100 steel , 2013 .

[6]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[7]  V. K. Jain,et al.  Experimental investigations into forces acting during a magnetic abrasive finishing process , 2006 .

[8]  Vijay K. Jain,et al.  Parametric study of magnetic abrasive finishing process , 2004 .

[9]  Elsayed A. Elsayed,et al.  Mechanism of material removal in the magnetic abrasive process and the accuracy of machining , 1996 .

[10]  Pulak M. Pandey,et al.  Magnetic abrasive finishing of hardened AISI 52100 steel , 2011 .

[11]  P. M. Dixit,et al.  Modeling and simulation of magnetic abrasive finishing process , 2005 .

[12]  Jeong-Du Kim,et al.  Simulation for the prediction of surface-accuracy in magnetic abrasive machining , 1995 .

[13]  V. Jain,et al.  Effect of working gap and circumferential speed on the performance of magnetic abrasive finishing process , 2001 .

[14]  R. Komanduri,et al.  Analysis of surface texture generated by a flexible magnetic abrasive brush , 2005 .

[15]  H. Yamaguchi,et al.  Study of an internal magnetic abrasive finishing using a pole rotation system: Discussion of the characteristic abrasive behavior , 2000 .

[16]  Vijay K. Jain,et al.  Magnetic field assisted abrasive based micro-/nano-finishing , 2009 .

[17]  Toshihiko Mori,et al.  Clarification of magnetic abrasive finishing mechanism , 2003 .

[18]  Takeo Shinmura,et al.  Study on Magnetic Abrasive Finishing , 1990 .

[19]  V. Jain,et al.  Design and development of the magnetorheological abrasive flow finishing (MRAFF) process , 2004 .