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Parametric optimizing green sand-casting process parameters using hybrid Taguchi grey relational analyses and principal component analyses

The Green Sand-casting technique is a very ancient method of casting that has many different uses. The increased rate of errors and rejection in this process is a key drawback that reduces output and profits. It’s challenging to develop a good link between the many different parameters and defects s...

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Main Author: Vora, Manish J.
Format: Article
Language:English
Published: Penerbit Universiti Kebangsaan Malaysia 2023
Online Access:http://journalarticle.ukm.my/22911/1/09%20%282%29.pdf
http://journalarticle.ukm.my/22911/
https://www.ukm.my/jkukm/volume-3506-2023/
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spelling my-ukm.journal.229112024-01-24T03:23:06Z http://journalarticle.ukm.my/22911/ Parametric optimizing green sand-casting process parameters using hybrid Taguchi grey relational analyses and principal component analyses Vora, Manish J. The Green Sand-casting technique is a very ancient method of casting that has many different uses. The increased rate of errors and rejection in this process is a key drawback that reduces output and profits. It’s challenging to develop a good link between the many different parameters and defects since the process is so complicated. This article describes a hybrid approach to find the co-relation for sand casting process’s variables. This approach mixes the Taguchi method (TM) with Grey Relational Analysis (GRA) paired with Principal Component Analysis (PCA). Moisture content, Permeability, Loss of Ignition, Pouring Time & Pouring Temperature selected as input parameters while types of defects (Shrinkage, Blow holes, Cracks, Porosity) as responses for proposed study. The L27 OA from Taguchi is used to plan the tests. TM implemented to analyse individual responses. GRA is applied to find optimal solutions for a set of replies, whereas PCA is used to determine how much weight each response should be given. Using proposed methodology, 4% moisture content, 160% permeability, 5% loss of ignition, 60 seconds of pouring time, and 1400°C found as optimum set of parameters. The findings demonstrate that the hybrid approach, which makes use of both a cost-effective and efficient experimental design strategy, was successful in resolving the complexity trade-off experienced throughout the judgment process of multi-response optimization. Penerbit Universiti Kebangsaan Malaysia 2023 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/22911/1/09%20%282%29.pdf Vora, Manish J. (2023) Parametric optimizing green sand-casting process parameters using hybrid Taguchi grey relational analyses and principal component analyses. Jurnal Kejuruteraan, 35 (6). pp. 1363-1374. ISSN 0128-0198 https://www.ukm.my/jkukm/volume-3506-2023/
institution Universiti Kebangsaan Malaysia
building Tun Sri Lanang Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Kebangsaan Malaysia
content_source UKM Journal Article Repository
url_provider http://journalarticle.ukm.my/
language English
description The Green Sand-casting technique is a very ancient method of casting that has many different uses. The increased rate of errors and rejection in this process is a key drawback that reduces output and profits. It’s challenging to develop a good link between the many different parameters and defects since the process is so complicated. This article describes a hybrid approach to find the co-relation for sand casting process’s variables. This approach mixes the Taguchi method (TM) with Grey Relational Analysis (GRA) paired with Principal Component Analysis (PCA). Moisture content, Permeability, Loss of Ignition, Pouring Time & Pouring Temperature selected as input parameters while types of defects (Shrinkage, Blow holes, Cracks, Porosity) as responses for proposed study. The L27 OA from Taguchi is used to plan the tests. TM implemented to analyse individual responses. GRA is applied to find optimal solutions for a set of replies, whereas PCA is used to determine how much weight each response should be given. Using proposed methodology, 4% moisture content, 160% permeability, 5% loss of ignition, 60 seconds of pouring time, and 1400°C found as optimum set of parameters. The findings demonstrate that the hybrid approach, which makes use of both a cost-effective and efficient experimental design strategy, was successful in resolving the complexity trade-off experienced throughout the judgment process of multi-response optimization.
format Article
author Vora, Manish J.
spellingShingle Vora, Manish J.
Parametric optimizing green sand-casting process parameters using hybrid Taguchi grey relational analyses and principal component analyses
author_facet Vora, Manish J.
author_sort Vora, Manish J.
title Parametric optimizing green sand-casting process parameters using hybrid Taguchi grey relational analyses and principal component analyses
title_short Parametric optimizing green sand-casting process parameters using hybrid Taguchi grey relational analyses and principal component analyses
title_full Parametric optimizing green sand-casting process parameters using hybrid Taguchi grey relational analyses and principal component analyses
title_fullStr Parametric optimizing green sand-casting process parameters using hybrid Taguchi grey relational analyses and principal component analyses
title_full_unstemmed Parametric optimizing green sand-casting process parameters using hybrid Taguchi grey relational analyses and principal component analyses
title_sort parametric optimizing green sand-casting process parameters using hybrid taguchi grey relational analyses and principal component analyses
publisher Penerbit Universiti Kebangsaan Malaysia
publishDate 2023
url http://journalarticle.ukm.my/22911/1/09%20%282%29.pdf
http://journalarticle.ukm.my/22911/
https://www.ukm.my/jkukm/volume-3506-2023/
_version_ 1789425775999451136
score 13.211869

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