Multi-objective optimization of thermo-mechanical properties of metal–ceramic composites

2014 ◽  
Vol 60 ◽  
pp. 586-596 ◽  
Author(s):  
M. Kursa ◽  
K. Kowalczyk-Gajewska ◽  
H. Petryk
Keyword(s):  
Mechanical Properties ◽  
Ceramic Composites ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Metal Ceramic

scholarly journals Mechanical properties optimization of the steering column based on multi-objective optimization design

2016 ◽  
Vol 8 (12) ◽  
pp. 168781401668294 ◽  
Author(s):  
Si Chen ◽  
Zhaohui Wang ◽  
Mi Lv
Keyword(s):  
Mechanical Properties ◽  
Process Parameters ◽  
Optimization Design ◽  
Strain Difference ◽  
Optimization Method ◽  
Equivalent Strain ◽  
Multi Objective Optimization ◽  
Optimal Process ◽  
Multi Objective ◽  
Initial Results

The mechanical properties of the steering column have a significant influence on the comfort and stability of a vehicle. In order for the mechanical properties to be improved, the rotary swaging process of the steering column is studied in this article. The process parameters, including axial feed rate, hammerhead speed, and hammerhead radial reduction, are systematically analyzed and optimized based on a multi-objective optimization design. The response surface methodology and the genetic algorithm are employed for optimal process parameters to be obtained. The maximum damage value, the maximum forming load, and the equivalent strain difference obtained with the optimal process parameters are, respectively, decreased by 30.09%, 7.44%, and 57.29% compared to the initial results. The comparative results present that the quality of the steering column is improved. The torque experiments and fatigue experiments are conducted with the optimal steering column. The maximum torque is measured to be 260 NM, and the service life is measured to be 2 weeks (40 NM, 2500 times), which are, respectively, increased by 8.3% and 8.69% compared to the initial results. The above results display that the mechanical properties of the steering column are optimized to verify the feasibility of the multi-objective optimization method.

Effect of metal-layer structure on the mechanical properties of multilayer metal–ceramic composites. II. Heat resistance

2009 ◽  
Vol 48 (3-4) ◽  
pp. 196-200 ◽  
Author(s):  
P. Ya. Radchenko ◽  
V. V. Panichkina ◽  
O. I. Get’man ◽  
M. G. Andreeva ◽  
V. V. Pasichnyi ◽  
...  
Keyword(s):  
Mechanical Properties ◽  
Heat Resistance ◽  
Layer Structure ◽  
Metal Layer ◽  
Ceramic Composites ◽  
Metal Ceramic ◽  
Multilayer Metal

scholarly journals Multi-Objective Optimization of Properties of Sponge Gourd-Bagasse Hybrid Reinforced Polymer Composite Using Fuzzy Logic, PSO, Modified Desirability Function and NSGA II

2021 ◽  
Author(s):  
Ikechukwu Chibueze ◽  
Chizoba Obele ◽  
CHIDOZIE NWOBI-OKOYE ◽  
Clement Atuanya
Keyword(s):  
Mechanical Properties ◽  
Fuzzy Logic ◽  
Computational Models ◽  
Desirability Function ◽  
Fitness Function ◽  
Golf Club ◽  
Multi Objective Optimization ◽  
Nsga Ii ◽  
Multi Objective ◽  
Sponge Gourd

Abstract Development of mathematical models for prediction of properties of materials is often complex and cumbersome. This led to the advent of simpler, and often more accurate, computational models based on artificial intelligence for predicting materials properties. The aim of this study is to predict the mechanical properties of a newly developed hybrid composite material made with sponge gourd, baggase and epoxy resin for golf club application using fuzzy logic (FL) and carry out a multi-objective optimization of the properties with modified desirability function (DF) and NSGA II algorithm. The inputs were %Wt of baggase, %Wt of Sponge gourd and Fiber size (µm) while the response variables were tensile strength, hardness, flexural strength, modulus, elongation and impact strength. The FL model was separately coupled, as fitness function, with the modified DF algorithm and the NSGA II algorithm respectively. The DF was optimized with particle swarm optimization (PSO) algorithm. The results showed that the FL model predicted the mechanical properties accurately and the minimum correlation coefficient (R) between the experimental responses and FL predictions was 0.9529. The modified algorithms took care of certain peculiarities in the desirability properties such as elongation whose desirability is constant over a range. The optimized properties were found to be worse if the optimization algorithms were not modified.

Effect of metal-layer structure on the mechanical properties of multilayer metal–ceramic composites. I. fracture energy

2009 ◽  
Vol 48 (1-2) ◽  
pp. 21-26 ◽  
Author(s):  
V. V. Skorokhod ◽  
V. V. Panichkina ◽  
P. Ya. Radchenko ◽  
S. M. Solonin ◽  
V. P. Katashinskii
Keyword(s):  
Mechanical Properties ◽  
Fracture Energy ◽  
Layer Structure ◽  
Metal Layer ◽  
Ceramic Composites ◽  
Metal Ceramic ◽  
Multilayer Metal
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