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Surface Roughness Prediction in Grinding Ti using ANFIS Hybrid Algorithm<br />

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Title Statement Surface Roughness Prediction in Grinding Ti using ANFIS Hybrid Algorithm<br />
 
Added Entry - Uncontrolled Name Stephen, Deborah Serenade; Department of Mechanical Engineering, SRM Institute of Science and Technology, Chennai 603 203, India
Sethuramalingam, Prabhu ; Department of Mechanical Engineering, SRM Institute of Science and Technology, Chennai 603 203, India
not applicable
 
Uncontrolled Index Term Manufacturing, Materials Science, Mechanical Engineering
ANFIS, CNT Grinding wheel, Fuzzy logic, Regression analysis, Sensitivity analysis, Taguchi analysis
 
Summary, etc. Intelligent manufacturing is needed, and many techniques and tools have been developed with this in mind. Over time, many of these techniques have been combined, and hybrid approaches have provided better results in shorter times, leading to a more precise prediction of outcomes when compared to the use of individual tools. This research focused on grinding Ti-6Al-4V workpiece material with a Carbon nanotube (CNT) incorporated grinding wheel. The Adaptive Neuro-Fuzzy Inference System (ANFIS) was used to predict surface roughness which was taken as the output of choice for this study. A new hybrid of ANFIS with Genetic Algorithm (ANFIS-GA) was then proposed to see if this prediction method could obtain greater precision. The regression analysis predicted the experimental model’s linear relationship to surface roughness, and the effect of grinding process parameters on surface roughness was analysed using the sensitivity analysis method.<br />
 
Publication, Distribution, Etc. Indian Journal of Engineering and Materials Sciences (IJEMS)
2022-11-14 15:16:46
 
Electronic Location and Access application/pdf
http://op.niscair.res.in/index.php/IJEMS/article/view/47533
 
Data Source Entry Indian Journal of Engineering and Materials Sciences (IJEMS); ##issue.vol## 29, ##issue.no## 5 (2022): IJEMS-OCTOBER 2022
 
Language Note en
 
Nonspecific Relationship Entry http://op.niscair.res.in/index.php/IJEMS/article/download/47533/465553795
http://op.niscair.res.in/index.php/IJEMS/article/download/47533/465553936
http://op.niscair.res.in/index.php/IJEMS/article/download/47533/465553947
 
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