A Material Selection Method Based on Double Base Points

2014 ◽  
Vol 707 ◽  
pp. 509-513
Author(s):  
Shi Gang Chao
Keyword(s):  
Material Selection ◽  
Selection Method ◽  
Distance Measures ◽  
Entropy Weight ◽  
Base Points ◽  
Decision Making Problem ◽  
New Material ◽  
Double Base ◽  
Multiple Attributes Decision Making ◽  
Selection Of

The selection of the most desirable material contains many evaluation attributes, and thus leads to hard be solved. The material selection is actually a multiple attributes decision making problem, which has been studied by many authors. The aim of this study is to propose a new material selection method, which is an improved double base points method through defining the entropy weight and used the relative approach degree to measure the distance measures. The method may avoid the influence of subjective factors through the entropy weight, is very suitable for material selection problem. The applied example proves that the method is both effective and exercisable.

Application of Combination Evaluation for Academic Title Evaluation

2011 ◽  
Vol 50-51 ◽  
pp. 756-760
Author(s):  
Bao Feng Li ◽  
Jing Guo Qu ◽  
Pu Yu Hao
Keyword(s):  
Associate Professor ◽  
Topsis Method ◽  
Entropy Weight ◽  
Base Points ◽  
Subjective Weight ◽  
Evaluation Models ◽  
Entropy Weight Method ◽  
Weight Method ◽  
Double Base

In this paper, using the relevant data of 34 teaching staffs who participate in the academic title evaluation of associate professor in 2010, firstly it introduces the entropy weight method, Topsis method with subjective weight, Topsis method with objective weight and double base points method with subjective weight to evaluate and sort the performance of 34 teaching staffs. Secondly, two combination evaluation models are constructed to do the same work and the conclusions are more science and rational.

scholarly journals Investigation of the requirements for the selection of materials for high pressure Turbine blades of conventional turbojet engines

2021 ◽  
Author(s):  
Zhexin Wang ◽  
Yuwen Su ◽  
Jingpeng Feng
Keyword(s):  
High Pressure ◽  
Turbine Blade ◽  
Material Selection ◽  
Low Cycle Fatigue ◽  
Turbine Blades ◽  
Selection Method ◽  
Inlet Temperature ◽  
Cycle Fatigue ◽  
Oxidation And Corrosion ◽  
Selection Of

The material selection method is critically evaluated to enable high pressure (HP) turbine blades to deal with in-service damaging phenomena such as creep, low cycle fatigue and high cycle fatigue, oxidation and corrosion. The material selection method is analyzed in order to improve the service life of the aero engine. To increase the turbine inlet temperature, HP turbine blades need improved creep and fatigue resistance. more quality. By the typical working condition of HP turbine blade, using CES Edu Pack (CES) material selection software was used to select suitable materials for HP turbine blade material. Nickel based alloys are selected for HP turbine blades, such as Nickel-Cr-Co-Mo superalloy.

Improved COPRAS Method and Application in Material Selection Problem

2014 ◽  
Vol 707 ◽  
pp. 505-508
Author(s):  
Fei Xia ◽  
Huan Wei ◽  
Lian Wu Yang
Keyword(s):  
Coefficient Of Variation ◽  
Material Selection ◽  
Selection Method ◽  
Decision Makers ◽  
Selection Problem ◽  
New Method ◽  
Variation Method ◽  
New Material ◽  
Copras Method

The aim of this paper is to put forward a new material selection method based on COPRAS method. The method combines the COPRAS method and coefficient of variation method. The new method is simple and easy to use, and coefficient of variation method can objectively determine the attributes weights. Thus it can be easily accepted by decision makers. Finally, a practical example is used to demonstrate the feasibility and effectiveness of the proposed method.

Identifying influence patterns of regional agricultural drought vulnerability using a two-phased grey rough combined model

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Huifang Sun ◽  
Liping Fang ◽  
Yaoguo Dang ◽  
Wenxin Mao
Keyword(s):  
Influencing Factors ◽  
Temporal Dynamics ◽  
Decision Rules ◽  
Agricultural Drought ◽  
Drought Vulnerability ◽  
Entropy Weight ◽  
Combined Model ◽  
Content Type ◽  
Base Points ◽  
Double Base

PurposeA core challenge of assessing regional agricultural drought vulnerability (RADV) is to reveal what vulnerability factors, under which kinds of synergistic combinations and at what strengths, will lead to higher vulnerability: namely, the influence patterns of RADV.Design/methodology/approachA two-phased grey rough combined model is proposed to identify influence patterns of RADV from a new perspective of learning and mining historical cases. The grey entropy weight clustering with double base points is proposed to assess degrees of RADV. The simplest decision rules that reflect the complex synergistic relationships between RADV and its influencing factors are extracted using the rough set approach.FindingsThe results exemplified by China's Henan Province in the years 2008–2016 show higher degrees of RADV in the north and west regions of the province, in comparison with the south and east. In the patterns with higher RADV, the higher proportion of agricultural population appears in all decision rules as a core feature. A smaller quantity of water resources per unit of cultivated land area and a lower adaptive capacity, involving levels of irrigation technology and economic development, present a significant synergistic influence relationship that distinguishes the features of higher vulnerability from those of the lower.Originality/valueThe proposed grey rough combined model not only evaluates temporal dynamics and spatial differences of RADV but also extracts the decision rules between RADV and its influencing factors. The identified influence patterns inspire managerial implications for preventing and reducing agricultural drought through its historical evolution and formation mechanism.

STS Forebody Material Selection Method Using Integrated Aerothermodynamic Optimization Approach

2012 ◽  
Vol 488-489 ◽  
pp. 1103-1108 ◽  
Author(s):  
Ali Sarosh ◽  
Dong Yun-Feng ◽  
Dimitar Kamarinchev
Keyword(s):  
Material Selection ◽  
Ceramic Matrix Composites ◽  
Selection Method ◽  
Multidisciplinary Optimization ◽  
Optimization Approach ◽  
Mass Model ◽  
External Compression ◽  
Inlet System ◽  
Space Applications ◽  
Selection Of

Ceramic matrix composites have been recommended for space applications. Accordingly, in this paper, a material selection method for the forebody of a space transportation system is demonstrated. The methodology is based on mass-model coupled aerothermodynamic design of a highly-integrated forebody-inlet system that uses the multidisciplinary optimization capability of the TIPSO (Two-steps Improved PSO) algorithm. The design optimization and hence material parameters are evolved using the newly developed SHWAMIDOF-FI tool. This paper focuses on validating the selection of carbon composite material by optimizing the configuration parameters for integrating a cone-derived forebody into planar wedge surfaces and an inlet-isolator assembly, so as to form a mixed internal-external compression system. Surface temperature, thermal conductivity, tensile strength and emissivity are used as primary parameters for selection of a forebody material. The optimization results validate that a carbon fibre reinforced carbon and silicon carbide (C/C-SiC) dual matrix composite is best suited for the application

A Material Selection Method Based on Finite Element Method

2014 ◽  
Vol 887-888 ◽  
pp. 1013-1016
Author(s):  
Sheng Bin Wu ◽  
Xiao Bao Liu
Keyword(s):  
Mathematical Model ◽  
Finite Element Method ◽  
Finite Element ◽  
Material Selection ◽  
Selection Method ◽  
Structure Design ◽  
The Finite Element Method ◽  
The Mathematical Model ◽  
Selection Of ◽  
Element Method

A new method for material selection in structure design based on the theory of the finite element method was presented. The method made material selection and structure design working at the same time. The mathematical model was established based on the finite element method. Finally, the material selection of an excavator's boom was verified, the results show that the proposed method is effective and feasible.

scholarly journals Optimal base point selection method based on convex hull construction technology

2021 ◽  
Vol 245 ◽  
pp. 02034
Author(s):  
Jian Dong ◽  
Zhiqiang Zhang ◽  
Lulu Tang ◽  
Rencan Peng ◽  
Hongchao Ji
Keyword(s):  
Convex Hull ◽  
Base Point ◽  
Selection Method ◽  
Optimal Selection ◽  
Construction Technology ◽  
Point Selection ◽  
Base Points ◽  
Selection Of ◽  
The Ideal ◽  
Hull Construction

The primary purpose of maritime delimitation is to ensure the maximum internal waters area obtained. In order to grantee the maximum internal waters area obtained with the selected base point, the idea and method of optimal selection of the territorial sea base points with the convex hull (minimum convex hull) construction technology is proposed. The ideal base points are selected by constructing convex hull for all alternative base points, which makes it possible to realize the automatic selection of base points under the principle of the maximum internal waters area.

scholarly journals Sensitive Analysis on Selection of Piston Material Using MADM Techniques

2019 ◽  
Vol 69 (4) ◽  
pp. 45-56
Author(s):  
K Lakshmi Chaitanya ◽  
Kolla Srinivas
Keyword(s):  
Decision Making ◽  
Material Selection ◽  
Performance Score ◽  
Design And Manufacturing ◽  
Criteria Weights ◽  
New Material ◽  
Multi Attribute Decision Making ◽  
Selection For ◽  
Ranking Order ◽  
Selection Of

AbstractDecision making in material selection plays important role in selecting appropriate material based on design and manufacturing attributes. Proposing a new material is always a challenging task so the researchers used Decision making assistance tools. In the Present paper the application of Multi-Attribute Decision Making (MADM) methods are applied to the piston material selection for optimal design process. Comparative study of subjective and objective criteria weights on selected MADM methods are done. Sensitivity analysis is conducted to prove the consistency in performance score ranking order as the criteria weights for each alternative varies.

Attribute Based Selection of Thermoplastic Resin for Vacuum Infusion Process

2011 ◽  
Vol 1 (3) ◽  
pp. 31-52 ◽  
Author(s):  
R. T. Durai Prabhakaran ◽  
Aage Lystrup ◽  
Tom Løgstrup Andersen
Keyword(s):  
Material System ◽  
Mathematical Tool ◽  
Thermoplastic Resin ◽  
Thermoplastic Polymers ◽  
Vacuum Infusion ◽  
Thermosetting Polymers ◽  
Current Scenario ◽  
New Material ◽  
Selection Of ◽  
Vacuum Infusion Process

The composite industry looks toward a new material system (resins) based on thermoplastic polymers for the vacuum infusion process, similar to the infusion process using thermosetting polymers. A large number of thermoplastics are available in the market with a variety of properties suitable for different engineering applications, and few of those are available in a not yet polymerised form suitable for resin infusion. The proper selection of a new resin system among these thermoplastic polymers is a concern for manufactures in the current scenario and a special mathematical tool would be beneficial. In this paper, the authors introduce a new decision making tool for resin selection based on significant attributes. This article provides a broad overview of suitable thermoplastic material systems for vacuum infusion process available in today’s market. An illustrative example—resin selection for vacuum infused of a wind turbine blade—is shown to demonstrate the intricacies involved in the proposed methodology for resin selection.

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