Fuzzy logic optimization of process parameters affecting surface temperature in MAF

1st International Conference on Contemporary Research in Mechanical Engineering with Focus on Materials and Manufacturing

机械制造;材料科学

Kumar Singh, Rajneesh^1 ; Singh, D.K.^1 ; Gangwar, Swati^1

Department of Mechanical Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur

273010, India^1

关键词: Artificial intelligent;    Finishing accuracies;    Finishing operation;    L9 orthogonal arrays;    Magnetic abrasive finishing;    Predictive modeling;    Process parameters;    Surface temperatures;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/404/1/012017/pdf
DOI  :  10.1088/1757-899X/404/1/012017

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

Magnetic abrasive finishing process was introduced to boost surface quality of super-alloys, composites and ceramics. This process erode material from the surface of workpiece in micro-nano range. Surface texture achieved from this process was very excellent. Thermal stability of finishing surface of workpiece is vital aspect during the finishing of MAF process because it affects the surface texture, surface integrity, finishing accuracy and material removal. In present study, experimentation had been performed to measure the surface temperature of finishing surface of mild steel using MAF process. Taguchi L9 orthogonal array had been employed to design the experiment. Current, working gap, abrasive weight and rotational speed were important process parameters that had been selected for analysis. Fuzzy logic had been used to develop Artificial intelligent based predictive model to predict surface temperature during finishing operation in MAF process. Surface temperature model built on Fuzzy logic had been validated.