Corrosion rate of Al-Si Alloy Reinforced with B4C Nanoparticle prepared by Powder Metallurgy Method using RSM
Abraham Subaraj. M1, Bensam Raj. J2, Malkiya Rasalin Prince. R3, Glan Devadhas.G4, Christopher Ezhil Singh. S5
1Abraham Subaraj. M, Mechanical, Bharath Institute of Higher Education and Research, Bharath University, India.
2Bensam Raj. J, Mechanical, Muthayammal Engineering College, Rasipuram, India.
3Malkiya Rasalin Prince. R, Mechanical, Karunya Institute of Technology and Sciences, Coimbatore, India.
4Glan Devadhas.G4 , Applied Electronics and Instrumentation, Vimal Jyothi Engineering College, Kannur, India.
5Christopher Ezhil Singh., Mechanical, Vimal Jyothi Engineering College, Kannur, India.
Manuscript received on October 12, 2019. | Revised Manuscript received on 20 October, 2019. | Manuscript published on November 10, 2019. | PP: 4677-4682 | Volume-9 Issue-1, November 2019. | Retrieval Number: A4650119119/2019©BEIESP | DOI: 10.35940/ijitee.A4650.119119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The current work aims to optimize the Al-Si alloy reinforced with B4C nanoparticles prepared through powder metallurgy technique. The sample was prepared with different weight percentage 0, 4 and 8; the size of the sample was 20 mm x 20mm and sintered in a furnace upto 500oC with argon gas and their by furnace cooled to room temperature. The samples were brushed to remove the slag present in it, and polished by emery paper. Then the samples were weighed in an electric balancing apparatus to measure the initial weight of the sample before dipping it into acid solution. The weight loss was measured to calibrate the corrosion rate of the samples for 9 days. Response surface methodology was designed for three factors at three levels with a response as corrosion rate. The Analysis of Variance (ANOVA) was used to identify the most influencing factor on corrosion rate. The normal probability plot, residual plot, and desirability plot demonstrates the influence of corrosion rate of the composites.
Keywords: Al-Si, Boron Carbide, ANOVA, Powder Metallurgy
Scope of the Article: Bio-Science and Bio-Technology