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<strong>Multifactor optimization for development of hybrid aluminium matrix composites</strong>

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Title Statement <strong>Multifactor optimization for development of hybrid aluminium matrix composites</strong>
 
Added Entry - Uncontrolled Name Singh, Swarndeep ; Department of Technical Education and Industrial Training (IT-wing), Punjab-160036, India
Singh, Rupinder ; Department of Production Engineering Guru Nanak Dev Engineering College, Ludhiana-141006, India
Gill, Simranpreet Singh; Department of Mechanical Engineering, Beant College of Engineering and Technology, Gurdaspur-143521, India
 
Uncontrolled Index Term Multi factor optimization, Hybrid AMC, DPS, TPS, V-process assisted stir casting
 
Summary, etc. The present study aims to multi factor optimization for preparation of aluminum matrix composites (AMC) by reinforcement of SiC/ Al2O3/ Al2O3+ SiC particles having dual particle size (DPS) and triplicate particle size (TPS) based upon signal to noise (S/N) ratio analysis. In this work the amalgamation of fused deposition modelling (FDM) and vacuum moulding (V-process) assisted stir casting (SC) has been employed for the development of AMC. The process parameters under investigation are: particle size (DPS/ TPS); reinforcement type (Al2O3/ SiC/ Al2O3+ SiC); vacuum pressure (VP) (300-400 mm of Hg); moulding sand grit size (American foundry society (AFS) No. 50-70); vibration time (VT) (4-6 sec) and reinforcement proportion/composition (5/7.5/10 by wt.%). The S/N ratio based upon the wear performance (pin-on disc tester), micro hardness (HV) and dimensional accuracy/deviation (Δt) has been evaluated by using Minitab-17 software which further acts as input for multifactor optimization. The best parametric setting proposed for multi objective/factor optimization is: DPS of Al2O3+ SiC reinforcement at 350 mm of Hg VP with 50 AFS No. sand grain size, 4sec VT and 10% composition/proportion. The results of analysis of variance (ANOVA) highlight that particle size (with 18.49% contribution) and reinforcement type (with 42.13% contribution) have significant influence on multi factor optimization for the development of AMC. Confirmatory experiments have been performed which shows that the proposed amalgamation of FDM and V-process assisted SC can be successfully applied for enhancing the performance of AMC. Finally the X-chart and R-chart have been plotted at the proposed settings, which highlights that amalgamation process is controlled and useful for mass/ batch production.
 
Publication, Distribution, Etc. Indian Journal of Engineering and Materials Sciences (IJEMS)
2020-08-06 16:02:52
 
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http://op.niscair.res.in/index.php/IJEMS/article/view/45982
 
Data Source Entry Indian Journal of Engineering and Materials Sciences (IJEMS); ##issue.vol## 27, ##issue.no## 2 (2020): IJEMS- April 2020
 
Language Note en
 
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