Bumper Beam Composite Material Selection using Fuzzy Multi-Criteria Analysis

Anaamalaai Annamalai Senthilnathan; Sehul Rajendra Mehta; Golam Kabir

doi:10.1109/DASA54658.2022.9765059

Bumper Beam Composite Material Selection using Fuzzy Multi-Criteria Analysis

Anaamalaai Annamalai Senthilnathan
, Sehul Rajendra Mehta
, Golam Kabir

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

Material selection has long been seen as a critical activity in both the design and product development processes. Inappropriate material selection can result in the product being remanufactured and reproduced at a later stage of development. This article conducts a decision-making study of bumper beams to avoid such scenarios, assisting designers in material selection. To accomplish this, a hybrid multicriteria decision-making analysis (MCDA) approach combining the fuzzy analytical hierarchy process (AHP) and the fuzzy technique for ranking preferences by the similarity of ideal solutions (TOPSIS) was designed. Carbon fibre reinforced in an epoxy matrix was discovered to be a more appropriate material for vehicle bumper beams. This study will assist designers and product development personnel in making the optimal material selections for the automobile sector.

Original language	English
Title of host publication	2022 International Conference on Decision Aid Sciences and Applications, DASA 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	243-247
Number of pages	5
ISBN (Electronic)	9781665495011
DOIs	https://doi.org/10.1109/DASA54658.2022.9765059
State	Published - 2022
Externally published	Yes

Publication series

Name	2022 International Conference on Decision Aid Sciences and Applications, DASA 2022

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

Bumper beam
Composite
Fuzzy AHP
Fuzzy TOPSIS
Material selection

ASJC Scopus subject areas

Artificial Intelligence
Computer Networks and Communications
Computer Science Applications
Hardware and Architecture
Decision Sciences (miscellaneous)
Information Systems and Management
Control and Optimization

Access to Document

10.1109/DASA54658.2022.9765059

Cite this

Senthilnathan, A. A., Rajendra Mehta, S., & Kabir, G. (2022). Bumper Beam Composite Material Selection using Fuzzy Multi-Criteria Analysis. In 2022 International Conference on Decision Aid Sciences and Applications, DASA 2022 (pp. 243-247). (2022 International Conference on Decision Aid Sciences and Applications, DASA 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/DASA54658.2022.9765059

Senthilnathan, Anaamalaai Annamalai ; Rajendra Mehta, Sehul ; Kabir, Golam. / Bumper Beam Composite Material Selection using Fuzzy Multi-Criteria Analysis. 2022 International Conference on Decision Aid Sciences and Applications, DASA 2022. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 243-247 (2022 International Conference on Decision Aid Sciences and Applications, DASA 2022).

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abstract = "Material selection has long been seen as a critical activity in both the design and product development processes. Inappropriate material selection can result in the product being remanufactured and reproduced at a later stage of development. This article conducts a decision-making study of bumper beams to avoid such scenarios, assisting designers in material selection. To accomplish this, a hybrid multicriteria decision-making analysis (MCDA) approach combining the fuzzy analytical hierarchy process (AHP) and the fuzzy technique for ranking preferences by the similarity of ideal solutions (TOPSIS) was designed. Carbon fibre reinforced in an epoxy matrix was discovered to be a more appropriate material for vehicle bumper beams. This study will assist designers and product development personnel in making the optimal material selections for the automobile sector.",

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series = "2022 International Conference on Decision Aid Sciences and Applications, DASA 2022",

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Senthilnathan, AA, Rajendra Mehta, S & Kabir, G 2022, Bumper Beam Composite Material Selection using Fuzzy Multi-Criteria Analysis. in 2022 International Conference on Decision Aid Sciences and Applications, DASA 2022. 2022 International Conference on Decision Aid Sciences and Applications, DASA 2022, Institute of Electrical and Electronics Engineers Inc., pp. 243-247. https://doi.org/10.1109/DASA54658.2022.9765059

Bumper Beam Composite Material Selection using Fuzzy Multi-Criteria Analysis. / Senthilnathan, Anaamalaai Annamalai; Rajendra Mehta, Sehul; Kabir, Golam.
2022 International Conference on Decision Aid Sciences and Applications, DASA 2022. Institute of Electrical and Electronics Engineers Inc., 2022. p. 243-247 (2022 International Conference on Decision Aid Sciences and Applications, DASA 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Bumper Beam Composite Material Selection using Fuzzy Multi-Criteria Analysis

AU - Senthilnathan, Anaamalaai Annamalai

AU - Rajendra Mehta, Sehul

AU - Kabir, Golam

PY - 2022

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AB - Material selection has long been seen as a critical activity in both the design and product development processes. Inappropriate material selection can result in the product being remanufactured and reproduced at a later stage of development. This article conducts a decision-making study of bumper beams to avoid such scenarios, assisting designers in material selection. To accomplish this, a hybrid multicriteria decision-making analysis (MCDA) approach combining the fuzzy analytical hierarchy process (AHP) and the fuzzy technique for ranking preferences by the similarity of ideal solutions (TOPSIS) was designed. Carbon fibre reinforced in an epoxy matrix was discovered to be a more appropriate material for vehicle bumper beams. This study will assist designers and product development personnel in making the optimal material selections for the automobile sector.

KW - Bumper beam

KW - Composite

KW - Fuzzy AHP

KW - Fuzzy TOPSIS

KW - Material selection

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Senthilnathan AA, Rajendra Mehta S, Kabir G. Bumper Beam Composite Material Selection using Fuzzy Multi-Criteria Analysis. In 2022 International Conference on Decision Aid Sciences and Applications, DASA 2022. Institute of Electrical and Electronics Engineers Inc. 2022. p. 243-247. (2022 International Conference on Decision Aid Sciences and Applications, DASA 2022). doi: 10.1109/DASA54658.2022.9765059

Bumper Beam Composite Material Selection using Fuzzy Multi-Criteria Analysis

Abstract

Publication series

Bibliographical note

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this