Experimental Investigation of Multiple Quality Characteristics of Laser Beam Machined Surface using Integrated Taguchi and Fuzzy Logic Method
-
Anish Kumar
,
Vinod Kumar
Abstract
In laser cutting, the capability of laser cutting mainly depends on optical and thermal properties of work material. The surface quality and metallurgical properties of the product is most important from the point of laser cutting quality. The present research work explores the modeling and optimization of laser beam cutting process parameters by using hybrid approach of Taguchi based fuzzy logic. The multi-response optimization of process parameters has been done to improve geometrical accuracy by minimizing the kerf width and kerf deviation. The four input parameters power, gas pressure, feed rate, pulse frequency and three output parameters kerf width (KW), kerf deviation (KD) and material removal rate (MRR) have been taken for the experimentation work. The S/N ratios taken for the KW and KD is of the smaller-the-better type and MRR is of the higher the better type. The predicting fuzzy logic model is implemented on Fuzzy Logic Toolbox of MATLAB using Mamdani technique. The fuzzy logic theory has been applied to compute the fuzzy multi-response performance index (FMRPI). This performance index is further used for multi-objective optimization. The selected samples were analyzed using scanning electron microscope. The predicted optimum results have been validated by performing the confirmation tests. The confirmation tests showed the considerable reduction in kerf deviation and increase in material removal rate.
Acknowledgments
The authors highly acknowledge to Thapar University Patiala, Punjab, India, for providing the necessary Laser Beam machining set-up and Scanning electron microscope for experimentation.
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©2016 by De Gruyter
Articles in the same Issue
- Frontmatter
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- Fuzzy and Regression Modeling for Nd: YAG Laser Cutting of Ti-6Al-4V Superalloy Sheet
- Analysis of Shrinkage Characteristics of Aluminium Silicon Alloy
- A CNC Parametric Programming Method for Manufacturing of Axisymmetric Mould Cavities
- Application of Taguchi Method for Optimization of Parameters in Turning Operation
- Experimental Investigation of Multiple Quality Characteristics of Laser Beam Machined Surface using Integrated Taguchi and Fuzzy Logic Method
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Articles in the same Issue
- Frontmatter
- Multi-Objective Optimization of Bead Geometry for Submerged Arc Welding of Pipeline Steel Using RSM-Fuzzy Approach
- Fuzzy and Regression Modeling for Nd: YAG Laser Cutting of Ti-6Al-4V Superalloy Sheet
- Analysis of Shrinkage Characteristics of Aluminium Silicon Alloy
- A CNC Parametric Programming Method for Manufacturing of Axisymmetric Mould Cavities
- Application of Taguchi Method for Optimization of Parameters in Turning Operation
- Experimental Investigation of Multiple Quality Characteristics of Laser Beam Machined Surface using Integrated Taguchi and Fuzzy Logic Method
- An Integrated RSM-GA Based Approach for Multi Response Optimization of FDM Process Parameters for Pyramidal ABS Primitives
