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

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 usi...

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Autores principales: Singh, Sunpreet, Prakash, Chander, Antil, Parvesh, Singh, Rupinder, Królczyk, Grzegorz, Pruncu, Catalin I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6630298/
https://www.ncbi.nlm.nih.gov/pubmed/31200497
http://dx.doi.org/10.3390/ma12121907
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author Singh, Sunpreet
Prakash, Chander
Antil, Parvesh
Singh, Rupinder
Królczyk, Grzegorz
Pruncu, Catalin I.
author_facet Singh, Sunpreet
Prakash, Chander
Antil, Parvesh
Singh, Rupinder
Królczyk, Grzegorz
Pruncu, Catalin I.
author_sort Singh, Sunpreet
collection PubMed
description 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 (R(2)) 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.
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spelling pubmed-66302982019-08-19 Dimensionless Analysis for Investigating the Quality Characteristics of Aluminium Matrix Composites Prepared through Fused Deposition Modelling Assisted Investment Casting Singh, Sunpreet Prakash, Chander Antil, Parvesh Singh, Rupinder Królczyk, Grzegorz Pruncu, Catalin I. Materials (Basel) Article 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 (R(2)) 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. MDPI 2019-06-13 /pmc/articles/PMC6630298/ /pubmed/31200497 http://dx.doi.org/10.3390/ma12121907 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Singh, Sunpreet
Prakash, Chander
Antil, Parvesh
Singh, Rupinder
Królczyk, Grzegorz
Pruncu, Catalin I.
Dimensionless Analysis for Investigating the Quality Characteristics of Aluminium Matrix Composites Prepared through Fused Deposition Modelling Assisted Investment Casting
title Dimensionless Analysis for Investigating the Quality Characteristics of Aluminium Matrix Composites Prepared through Fused Deposition Modelling Assisted Investment Casting
title_full Dimensionless Analysis for Investigating the Quality Characteristics of Aluminium Matrix Composites Prepared through Fused Deposition Modelling Assisted Investment Casting
title_fullStr Dimensionless Analysis for Investigating the Quality Characteristics of Aluminium Matrix Composites Prepared through Fused Deposition Modelling Assisted Investment Casting
title_full_unstemmed Dimensionless Analysis for Investigating the Quality Characteristics of Aluminium Matrix Composites Prepared through Fused Deposition Modelling Assisted Investment Casting
title_short Dimensionless Analysis for Investigating the Quality Characteristics of Aluminium Matrix Composites Prepared through Fused Deposition Modelling Assisted Investment Casting
title_sort dimensionless analysis for investigating the quality characteristics of aluminium matrix composites prepared through fused deposition modelling assisted investment casting
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6630298/
https://www.ncbi.nlm.nih.gov/pubmed/31200497
http://dx.doi.org/10.3390/ma12121907
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