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Panda, Nirmal
- Analysis and Optimization of Robot Plasma Coating Efficiency using Taguchi and Regression Analysis
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Authors
Affiliations
1 Student, Robotics, School of Mechanical Engineering, SRM University, Chennai 603 203, IN
2 School of Mechanical Engineering, SRM University, Chennai 603 203, IN
3 NFTDC, Kanchanbagh, Hyderabad 500058, IN
1 Student, Robotics, School of Mechanical Engineering, SRM University, Chennai 603 203, IN
2 School of Mechanical Engineering, SRM University, Chennai 603 203, IN
3 NFTDC, Kanchanbagh, Hyderabad 500058, IN
Source
International Review of Applied Engineering Research, Vol 3, No 1 (2013), Pagination: 67-79Abstract
This work describes the Taguchi analysis coupled with regression analysis to optimize the robot deposition parameters used for plasma coating on titanium aluminum alloy material. L27 orthogonal array have been used for coating the work piece using robot. Analysis of Variance (ANOVA) and F-test have been used to check the validity of regression model and to determine the significant parameter affecting the coating efficiency. The Arc current (Amp), Arc voltage (volt), powder feed rate(mm/sec), Substrate surface roughness (μm), Spray gun distance (mm) and TiO2 content in feedstock (%) have been considered as input parameters and Deposition efficiency is considered as output parameters. Regression model is used to determine the relationship between independent variable with dependent variables.Keywords
Robot Coating, Taguchi Analysis, Regression Analysis, ANOVA.References
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