Digital logic and knowledge-based system for the automotive piston material selection

The aim of this paper is to apply material selection methods for selecting the most appropriate material for piston application. Initial candidate materials such as, grey cast iron, Ti and Al alloys, 20% SiC reinforced Al and Al-Cu alloy matrix composites and WC-TiC reinforced Ti matrix composite...

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Main Authors:	Maleque, Md. Abdul, Arifutzzaman, A.
Format:	Article
Language:	English
Published:	Inderscience Enterprises Ltd. 2012
Subjects:	T173.2 Technological change TA401 Materials of engineering and construction
Online Access:	http://irep.iium.edu.my/26040/ http://irep.iium.edu.my/26040/ http://irep.iium.edu.my/26040/ http://irep.iium.edu.my/26040/1/P60_2012.pdf

id	iium-26040
recordtype	eprints
spelling	iium-260402012-11-06T11:07:20Z http://irep.iium.edu.my/26040/ Digital logic and knowledge-based system for the automotive piston material selection Maleque, Md. Abdul Arifutzzaman, A. T173.2 Technological change TA401 Materials of engineering and construction The aim of this paper is to apply material selection methods for selecting the most appropriate material for piston application. Initial candidate materials such as, grey cast iron, Ti and Al alloys, 20% SiC reinforced Al and Al-Cu alloy matrix composites and WC-TiC reinforced Ti matrix composite were analysed based on their performance requirements. Digital logic (DL) approach was implemented for material selection and knowledge-based system (KBS) was used for comparison purposes. In DL method, performance index (PI) was measured using the scaled property and weighting factor. The figure of merit was obtained based on PI and relative cost of each candidate material. In KBS, a MATLAB network tool was employed for comparison purposes. The highest PI was found for 20% SiC reinforced Al-Cu alloy composite compared to other materials and hence can be selected for the new generation automotive piston application. Inderscience Enterprises Ltd. 2012 Article PeerReviewed application/pdf en http://irep.iium.edu.my/26040/1/P60_2012.pdf Maleque, Md. Abdul and Arifutzzaman, A. (2012) Digital logic and knowledge-based system for the automotive piston material selection. International Journal Materials and Structural Integrity, 6 (2/3/4). pp. 134-150. ISSN 1745-0055 http://www.ingentaconnect.com/content/ind/ijmsi/2012/00000006/F0030002/art00003?crawler=true 10.1504/IJMSI.2012.049952
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	T173.2 Technological change TA401 Materials of engineering and construction
spellingShingle	T173.2 Technological change TA401 Materials of engineering and construction Maleque, Md. Abdul Arifutzzaman, A. Digital logic and knowledge-based system for the automotive piston material selection
description	The aim of this paper is to apply material selection methods for selecting the most appropriate material for piston application. Initial candidate materials such as, grey cast iron, Ti and Al alloys, 20% SiC reinforced Al and Al-Cu alloy matrix composites and WC-TiC reinforced Ti matrix composite were analysed based on their performance requirements. Digital logic (DL) approach was implemented for material selection and knowledge-based system (KBS) was used for comparison purposes. In DL method, performance index (PI) was measured using the scaled property and weighting factor. The figure of merit was obtained based on PI and relative cost of each candidate material. In KBS, a MATLAB network tool was employed for comparison purposes. The highest PI was found for 20% SiC reinforced Al-Cu alloy composite compared to other materials and hence can be selected for the new generation automotive piston application.
format	Article
author	Maleque, Md. Abdul Arifutzzaman, A.
author_facet	Maleque, Md. Abdul Arifutzzaman, A.
author_sort	Maleque, Md. Abdul
title	Digital logic and knowledge-based system for the automotive piston material selection
title_short	Digital logic and knowledge-based system for the automotive piston material selection
title_full	Digital logic and knowledge-based system for the automotive piston material selection
title_fullStr	Digital logic and knowledge-based system for the automotive piston material selection
title_full_unstemmed	Digital logic and knowledge-based system for the automotive piston material selection
title_sort	digital logic and knowledge-based system for the automotive piston material selection
publisher	Inderscience Enterprises Ltd.
publishDate	2012
url	http://irep.iium.edu.my/26040/ http://irep.iium.edu.my/26040/ http://irep.iium.edu.my/26040/ http://irep.iium.edu.my/26040/1/P60_2012.pdf
first_indexed	2023-09-18T20:38:50Z
last_indexed	2023-09-18T20:38:50Z
_version_	1777409227878301696

Digital logic and knowledge-based system for the automotive piston material selection

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