scholarly journals Material Selection of Green Design Processes for Car Body via considering Environment Property

2020 ◽  
Vol 2020 ◽  
pp. 1-8 ◽  
Author(s):  
Yongfeng Pu ◽  
Fangwu Ma ◽  
Lu Han ◽  
Guowang Wang
Keyword(s):  
Material Selection ◽  
Low Carbon ◽  
Analytic Hierarchy ◽  
Lightweight Material ◽  
Car Body ◽  
Vehicle Production ◽  
Reduce Emissions ◽  
Optimal Material ◽  
Grey Relational ◽  
Selection Of

Facing serious environmental degradation and its resulting of climate warming, how to conserve energy and reduce emissions becomes a serious issue for government supervisors and modern vehicle enterprises. Reducing the mass of a vehicle is one of the most effective ways to reduce emissions and improve fuel utilization, essential to persist the low-carbon and sustainable-development bases in industrial production processes. When it comes to the selection of lightweight material for a car body in the processes of vehicle production, it is essential to comprehensively evaluate multiple relevant attributes in order to select the optimal material from several alternatives. Thus, it can be seen as a multicriterion decision-making (MCDM) problem. However, it is difficult to consider both the uncertainty of the expert’s preference and the imprecision of the attribute estimate. Considering this, this paper uses the method integrating grey relational analysis (GRA) with analytic hierarchy process (AHP) to solve the problem of lightweight material selection for a car body. The AHP method is used to determine the weight of each attribute, and the GRA method is to select the optimal material among several alternatives. Finally, a case study is applied to verify the practicability of the proposed approach. The result shows that the proposed multicriterion decision method provides a precise and objective foundation for making decisions about the material selection issue.

Material Selection Decision-Making Method for Multi-material Lightweight Automotive Body Driven by Performance

2021 ◽  
pp. 146442072110556
Author(s):  
Dengfeng Wang ◽  
Shenhua Li
Keyword(s):  
Decision Making ◽  
Material Selection ◽  
The Body ◽  
Analytic Hierarchy ◽  
Weighting Method ◽  
Lightweight Material ◽  
Automotive Body ◽  
Selection Decision ◽  
Hierarchy Process ◽  
Selection Of

This work proposes a material selection decision-making method for multi-material lightweight body driven by performance to achieve that the right materials are used for the correct positions of the automotive body. The internal relationship between performance and mass, cross-sectional shape, wall thickness parameters, and material properties of a thin-walled structure is studied. The lightweight material indices driven by performance are then established. The lightweight material indices and material price are taken as the decision-making criteria for the material selection of automotive body components. A hybrid weighting method integrated with the analytic hierarchy process, fuzzy analytic hierarchy process, and quality function deployment is proposed. The difficulty of quantitatively evaluating the performance requirements of different components of the body is solved using the proposed weighting method combined with the numerical analytical results of the component performance under multiple operating conditions of the automotive body. Then, the weight of the decision-making criteria for material selection is calculated. Grey relational analysis is used to make multicriteria decision-making on a variety of candidate materials to select the best material for body components. After the lightweight material selection of the front longitudinal beam of the automotive body, the frontal collision safety performance of the body is effectively improved, and the mass of the front longitudinal beam is reduced by 45%. Material selection result of the front longitudinal beam indicates that the proposed material selection decision-making method can effectively achieve the fast material selection of components in different positions of the body.

Research on Material Selection with Multi-Attribute Decision Method and G1 Method

2014 ◽  
Vol 952 ◽  
pp. 20-24 ◽  
Author(s):  
Xue Jun Xie
Keyword(s):  
Material Selection ◽  
Selection Process ◽  
Selection Problem ◽  
Topsis Method ◽  
Attribute Weight ◽  
Multi Attribute Decision Making ◽  
Judgment Matrix ◽  
Optimal Material ◽  
Selection Of ◽  
Better Than

The selection of an optimal material is an important aspect of design for mechanical, electrical, thermal, chemical or other application. Many factors (attributes) need to be considered in material selection process, and thus material selection problem is a multi-attribute decision making (MADM) problem. This paper proposes a new MADM method for material selection problem. G1 method does not need to test consistency of the judgment matrix. Thus it is better than AHP. In this paper, firstly, we use the G1 method to determine the attribute weight. Then TOPSIS method is used to calculate the closeness of the candidate materials with respect positive solution. A practical material selection case is used to demonstrate the effectiveness and feasibility of the proposed method.

Material Selection Using TOPSIS Combined with Grey Relation Analysis

2014 ◽  
Vol 540 ◽  
pp. 476-479 ◽  
Author(s):  
Xue Jun Xie
Keyword(s):  
Material Selection ◽  
Selection Problem ◽  
Grey Relation Analysis ◽  
Real Material ◽  
Selection Decisions ◽  
Multi Attribute Decision Making ◽  
Relation Analysis ◽  
Optimal Material ◽  
Grey Relation ◽  
Selection Of

The selection of an optimal material is an important aspect of design for mechanical, electrical, thermal, chemical or other application. Material selection problem is a multi-attribute decision making (MADM) problem, which has several evaluation attributes. The selection decisions are complex, as material selection is more challenging today. This paper proposes a new MADM method for material selection problem. Combining the TOPSIS with grey relation analysis, the method proposed a comprehensive value to evaluate and select the best alternative. A real material selection case is used to demonstrate that the proposed method is effectiveness and feasibility.

scholarly journals Material Selection of Natural Fibers for Composite Automotive Component Using Analytic Hierarchy Process/Analytic Network Process in Concurrent Engineering Approach

2019 ◽  
Vol 801 ◽  
pp. 53-58 ◽  
Author(s):  
Mohd Taha Mastura ◽  
S.M. Sapuan ◽  
Muhammad Noryani
Keyword(s):  
Analytic Hierarchy Process ◽  
Natural Fiber ◽  
Material Selection ◽  
Analytic Network Process ◽  
Design Development ◽  
Analytic Hierarchy ◽  
Automotive Components ◽  
Network Process ◽  
Hierarchy Process ◽  
Selection Of

Material selection of natural fiber for composite based products is an essential process in product design development especially in application of automotive components. Several factors need to be considered concurrently and dependency among the factors should be evaluated during the judgement. Therefore, a proposed approach is presented in this study by using Analytic Hierarchy Process/Analytic Network Process (AHP/ANP) to prioritize the criteria for material selection of natural fiber composites automotive components. AHP computes the priority values from pairwise comparison basis and ANP derives the global priority values based on the inner dependency of the criteria. As in a case study, flax fibers obtained the highest value (19%) and rank as number one fibers in the selection where tensile strength is the most significant criteria. Thus, application of AHP/ANP would derive a more reliable and accurate judgement in material selection and their flexibility allows integration with other decision making tools.

Application of fuzzy MOORA method in the design and fabrication of an automated hammering machine

2020 ◽  
Vol 18 (1) ◽  
pp. 37-49
Author(s):  
Ikuobase Emovon ◽  
Oghenenyerovwho Stephen Okpako ◽  
Edith Edjokpa
Keyword(s):  
Material Selection ◽  
Content Type ◽  
Performance Effectiveness ◽  
Alternative Materials ◽  
Fuzzy Gra ◽  
Optimal Material ◽  
Selection Methodology ◽  
Grey Relational ◽  
Moora Method ◽  
Fuzzy Moora

Purpose In most developing countries riveting, upset forging and punching operations among others are performed using manual hammering technique. The use of the manual method increases production time and reduces efficiency. The use of the manual approach is predominantly due to the high cost of imported automated hammering machines (AHM) which the majority of the end-users are incapable of acquiring. The purpose of this paper, therefore, is to produce an AHM that is affordable using an effective material selection methodology in the design and fabrication process. Design/methodology/approach The material selection methodology proposed is the fuzzy multi-objective optimisation on the basis of the ratio analysis (MOORA) method. The tool was used to evaluate and determine the optimum material for the major of the components of the AHM from amongst alternative materials while considering several decision criteria. A case study of the shaft was applied to demonstrate the suitability of the proposed technique. The AHM components design is then carried out and machine fabricated and tested to ascertain performance effectiveness. Findings The result of the fuzzy MOORA evaluation showed that alloy steel is the optimal material for the shaft. The fuzzy MOORA approach was compared with the fuzzy Vlsekriterijumska Optimizacija Ikompromisno Resenje (VIKOR) and fuzzy grey relational analysis (GRA) methods to validate the proposed method. The fuzzy MOORA method produces completely the same result with the fuzzy VIKOR and fuzzy GRA methods. The machine was then designed, constructed and tested and found to be effective for the purpose of the design. Originality/value This is significant as no such study has been published by any other researcher to the best of our knowledge in this area.

Selection of Material for Wind Turbine Blade by Analytic Hierarchy Process (AHP) Method

2014 ◽  
Vol 612 ◽  
pp. 145-150 ◽  
Author(s):  
Lahu P. Maskepatil ◽  
Ashish U. Gandigude ◽  
Sandip A. Kale
Keyword(s):  
Wind Turbine ◽  
Turbine Blade ◽  
Material Selection ◽  
Wind Turbine Blade ◽  
Blade Design ◽  
Analytic Hierarchy ◽  
Small Wind Turbine ◽  
The Cost ◽  
Hierarchy Process ◽  
Selection Of

Wind energy and solar energy are prominent renewable energy options in the view of growing energy demand. Reliable small wind power produced at compatible price is the need of hour. Cost of the energy generation depends on the cost of the materials used, operating and maintenance cost, cost of the fuel. The material cost directly relates to the cost of the energy. Blade design plays significant role in any wind turbine design. In order to have long expected life of blade material selection is a crucial stage in blade design. Wood, Glass fiber, carbon fiber, natural fiber, sandwich composite materials are different material available for small wind turbine blades. Strength, durability, density, cost, and availability are the important properties to be considered during material selection of blade. The selection of material for wind turbine blade is an important stage in blade design. This paper presents a simple Analytic Hierarchy Process for material selection for the small wind turbine blade. AHP is one of the simplest and cost effective decision making method. In this work AHP is successfully applied for material selection for small wind turbine blade.

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