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Open AccessArticle

Dimensionless Analysis for Investigating the Quality Characteristics of Aluminium Matrix Composites Prepared through Fused Deposition Modelling Assisted Investment Casting

1
Department of Mechanical Engineering, Lovely Professional University, Phagwara, Punjab 144411, India
2
Department of Basic Engineering, College of Agricultural Engineering and Technology, CCS HAU, Hisar, Haryana 125004, India
3
Manufacturing Research Laboratory, Production Engineering Department, Guru Nanak Dev Engineering College, Ludhiana 141006, India
4
Faculty of Mechanical Engineering, Opole University of Technology, 76 Proszkowska St., 45-758 Opole, Poland
5
Mechanical Engineering, Imperial College London, Exhibition Rd., London SW7 2AZ, UK
6
Mechanical Engineering, School of Engineering, University of Birmingham, Birmingham B15 2TT, UK
*
Author to whom correspondence should be addressed.
Materials 2019, 12(12), 1907; https://doi.org/10.3390/ma12121907
Received: 16 May 2019 / Revised: 24 May 2019 / Accepted: 11 June 2019 / Published: 13 June 2019
The aluminium matrix composites (AMCs) have become a tough competitor for various categories of metallic alloys, especially ferrous materials, owing to their tremendous servicing in the diversified application. In this work, additional efforts have been made to formulate a mathematical model, by using dimensionless analysis, able to predict the mechanical characteristics of the AMCs that have already been optimized and characterized by the authors. Here, the experimental and statistical data obtained from the Taguchi L18 orthogonal array and analysis of variance (ANOVA) have been used. They permit collection of the output responses and allow the identification of significant process parameters, respectively, which thereafter were used to design the mathematical model. Second order polynomial equations have been obtained from the specific output response and the relevant input parameter were incorporated with the highest level of contribution. The obtained quadratic equations indicate the regression values (R2) equal to unity, hence, proving the performances of the fit. The results demonstrate that the developed mathematical models present very high accuracy for predicting the output responses. View Full-Text
Keywords: fused deposition modelling; investment casting; mathematical modelling; aluminium matrix composite fused deposition modelling; investment casting; mathematical modelling; aluminium matrix composite
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MDPI and ACS Style

Singh, S.; Prakash, C.; Antil, P.; Singh, R.; Królczyk, G.; Pruncu, C.I. Dimensionless Analysis for Investigating the Quality Characteristics of Aluminium Matrix Composites Prepared through Fused Deposition Modelling Assisted Investment Casting. Materials 2019, 12, 1907.

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