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Sivasubramanian, R.
- Optimization of Machining Process in Particulate Reinforced Aluminium Matrix Composite
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Authors
Affiliations
1 Dept. of Mechanical Engg., Bannari Amman Institute of Technology, Sathyamangalam-638401, Erode District, IN
2 Dept. of Mechanical Engg., Coimbatore Institute of Technology, Coimbatore-641014, IN
1 Dept. of Mechanical Engg., Bannari Amman Institute of Technology, Sathyamangalam-638401, Erode District, IN
2 Dept. of Mechanical Engg., Coimbatore Institute of Technology, Coimbatore-641014, IN
Source
Manufacturing Technology Today, Vol 8, No 9 (2009), Pagination: 21-26Abstract
In the present study A356/SiCp metal matrix composite is machined using electro chemical machining. Silicon Carbide with an average particle size 0/40 microns is tried in three different proportions, namely 5%, 10% and 15% by weight. Taguchi's L27 orthogonal array is chosen to design the experiments and two repetitions for every combination are made to study the effect of various parameters chosen. Material removal rate is determined for different combinations of applied voltage, electrolyte concentration, feed rate and percentage of silicon carbide. Optimum factors are identified from the signal-to-noise ratio. Result from Pareto ANOVA, which is a method to analyze data, showed that feed rate is the most influencing parameter followed by electrolyte concentration in maximizing the material removal rate. A regression model is also developed and found that the experimental data closely agree with the prediction.- Process Parameter Selection for Friction Stir Welding of Cast A413 Aluminium Alloy Using Taguchi Experimental Design
Abstract Views :175 |
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Authors
Affiliations
1 Dept. of Mechatronics Engg., Kongu Engg. College, Perundurai, Erode, IN
2 Dept. of Mechanical Engg., Coimbatore Institute of Technology, Coimbatore, IN
3 Centre for Materials Joining Research (CEMAJOR), Dept. of Manufacturing Engg., Annamalai University, Annamalai Nagar, IN
1 Dept. of Mechatronics Engg., Kongu Engg. College, Perundurai, Erode, IN
2 Dept. of Mechanical Engg., Coimbatore Institute of Technology, Coimbatore, IN
3 Centre for Materials Joining Research (CEMAJOR), Dept. of Manufacturing Engg., Annamalai University, Annamalai Nagar, IN
Source
Manufacturing Technology Today, Vol 7, No 12 (2008), Pagination: 3-10Abstract
This paper discusses the use of Taguchi technique for maximizing the tensile strength of friction stir welded cast aluminium alloy A413. The experiments have been conducted using Taguchi's experimental design technique. The friction stir welding (FSW) process parameters namely tool rotational speed, welding speed, axial force play a major role in deciding the weld quality. The effect of process parameters on tensile strength is evaluated and the optimum welding condition for maximizing the tensile strength is determined. The analysis of variance and the signal to noise ratio of robust design are employed to investigate the influence of process parameters on the tensile strength of friction stir welded A413 aluminium alloy. To correlate the process parameters and the measured tensile strength, a mathematical model has been developed by multiple linear regression analysis. The developed mathematical model is found to be very useful for predicting the tensile strength of friction stir welded A413 aluminium alloy.- Combined Artificial Neural Network and Taguchi Technique for Selection of Optimal Process Parameters in Steel Roll Grinding
Abstract Views :170 |
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Authors
Affiliations
1 Department of Mechanical Engg., Sona College of Technology, Salem-636005, IN
2 Department of Mechanical Engg., Coimbatore Institute of Technology, Coimbatore, IN
1 Department of Mechanical Engg., Sona College of Technology, Salem-636005, IN
2 Department of Mechanical Engg., Coimbatore Institute of Technology, Coimbatore, IN