scholarly journals Multi-Objective Optimization Of Energy Absorbing Behavior Of Foam-Filled Hybrid Composite Tubes

2021 ◽  
pp. 114771
Author(s):  
Dursun Meriç ◽  
Hasan Gedikli
Keyword(s):  
Hybrid Composite ◽  
Multi Objective Optimization ◽  
Composite Tubes ◽  
Multi Objective ◽  
Foam Filled ◽  
Energy Absorbing

A hybrid multi-objective optimization approach for energy-absorbing structures in train collisions

2019 ◽  
Vol 481 ◽  
pp. 491-506 ◽  
Author(s):  
Honghao Zhang ◽  
Yong Peng ◽  
Lin Hou ◽  
Guangdong Tian ◽  
Zhiwu Li
Keyword(s):  
Optimization Approach ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Energy Absorbing

Statistical and experimental investigation using a novel multi-objective optimization algorithm on a novel titanium hybrid composite developed by lens process

2020 ◽  
pp. 095440622095910
Author(s):  
Soutrik Bose ◽  
Titas Nandi
Keyword(s):  
Experimental Investigation ◽  
Optimization Algorithm ◽  
Grey Relational Analysis ◽  
Hybrid Composite ◽  
Confirmatory Test ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Relational Analysis ◽  
Grey Relational ◽  
Wedm Process

The machining of titanium based hybrid composite by conventional method is very complicated because of its enhanced strength-to-weight ratio, resistance to corrosion, abrasion and fatigue and this hybrid composite is extensively necessary for automobile, aerospace, sports, spacecrafts, marine and bio-medical industries. In this paper, an investigation is presented based on a novel optimization algorithm named as desirable grey relational analysis (DGRA) where desirability function is coupled with grey relational analysis for multi-objective optimization (MOO). A novel titanium hybrid composite is developed by laser engineered net shaping (LENS) process. Experimental investigation is carried on wire electro-discharge machining (WEDM) process varying power, time off and peak current as the most important input process parameters. Fuzzy technique for order preference by similarity to ideal solution (FTOPSIS) is proposed along with fuzzy analytical hierarchy process (FAHP) for criteria weights for the comparison of the experimental and the predicted results. Statistical investigation on response surface methodology (RSM) is carried on the Box-Behnken design (BBD) model using 3 factors and 3 levels design of experiments (DOE) on output responses like material removal rate (MRR), surface roughness (SR), kerf width (KW) and over cut (OC) to obtain satisfactory outcomes and then authenticated by confirmatory test. Analysis of variance (ANOVA) is used for significance of the models. Optimal condition and solution is attained by method of desirability to accomplish the best output response. This optimized result is further enhanced by 3.09%, 2.05% and 1.02% when compared with desirability to FTOPSIS, FTOPSIS to DGRA, and desirability to DGRA.

Coupled thermal–structural analysis and multi-objective optimization of a cutting-type energy-absorbing structure for subway vehicles

2019 ◽  
Vol 141 ◽  
pp. 360-373 ◽  
Author(s):  
Junyan Wang ◽  
Zhaijun Lu ◽  
Mu Zhong ◽  
Tianjun Wang ◽  
Chengming Sun ◽  
...  
Keyword(s):  
Structural Analysis ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Energy Absorbing

Crash performance and multi-objective optimization of a gradual energy-absorbing structure for subway vehicles

2016 ◽  
Vol 107 ◽  
pp. 1-12 ◽  
Author(s):  
Ping Xu ◽  
Chengxing Yang ◽  
Yong Peng ◽  
Shuguang Yao ◽  
Dehong Zhang ◽  
...  
Keyword(s):  
Multi Objective Optimization ◽  
Multi Objective ◽  
Energy Absorbing ◽  
Crash Performance

scholarly journals Multi objective optimization of foam-filled circular tubes for quasi-static and dynamic responses

2015 ◽  
Vol 12 (6) ◽  
pp. 1126-1143 ◽  
Author(s):  
Fauzan Djamaluddin ◽  
Shahrum Abdullah ◽  
Ahmad K. Ariffin ◽  
Zulkifli M. Nopiah
Keyword(s):  
Dynamic Responses ◽  
Multi Objective Optimization ◽  
Circular Tubes ◽  
Multi Objective ◽  
Foam Filled

Experimental, numerical, and multi-objective optimization investigations on the energy absorption features of single- and bi-layer deep-drawn cups

2020 ◽  
pp. 146442072097243
Author(s):  
Mohammad A Ghasemabadian ◽  
Mehran Kadkhodayan ◽  
William Altenhof
Keyword(s):  
Stainless Steel ◽  
Energy Absorption ◽  
Axial Loading ◽  
Total Efficiency ◽  
304L Stainless Steel ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Polynomial Response Surface ◽  
Energy Absorbing ◽  
Absorption Features

In this article, the energy absorption features of single- and bi-layer deep-drawn cups (S- and B-cups, respectively) under a quasi-static axial loading are investigated experimentally and numerically. The S-cups were made of 304L stainless steel and explosively welded B-cups were composed of aluminum and 304L stainless steel layers. A multi-objective optimization was performed on specific energy absorption and initial peak force based on the polynomial response surface method. Furthermore, to compare the energy absorption features of deep-drawn cups, two groups of 304L stainless steel tubes (with the same mass or the same height as the S-cups) were axially compressed. The experimental results indicated that the S-cups experienced total energy absorption and mean crush force approximately 24% and 51% greater than those of tubes with the same mass and thickness, respectively. Furthermore, the total efficiency and specific total efficiency of the S-cups were approximately 0.23 and 1.82 times greater than those of tubes with the same height and thickness. Moreover, the energy absorbing effectiveness factor of B-cups was approximately twice of the S-cup.

Energy distribution analysis and multi-objective optimization of a gradual energy-absorbing structure for subway vehicles

2017 ◽  
Vol 115 ◽  
pp. 255-263 ◽  
Author(s):  
Ping Xu ◽  
Jie Xing ◽  
Shuguang Yao ◽  
Chengxing Yang ◽  
Kai Chen ◽  
...  
Keyword(s):  
Energy Distribution ◽  
Distribution Analysis ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Energy Absorbing
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