Multi-objective optimization of underfloor air distribution (UFAD) systems performance in a densely occupied environment: A combination of numerical simulation and Taguchi algorithm

Based upon synchronized loading and unloading containers method, a multi-objective optimization model was established. Minimizing the weighing vehicle transporting time and quay-crane(QC) handling time is taken as the objective. When the container ship reached the terminal, loading and unloading work was beginning. The optimal operational sequence of hatches in a bay was obtained by optimized computing, as well as the shortest handling time of vehicle and quay-crane. By numerical simulation, the efficiency is improved 22.62%~31.47%; the average rate of increase is 27.01%. The results illustrate the feasibility and efficiency of the proposed synchronized loading and unloading containers method by comparing with the traditional operations method.

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Multi-objective optimization of cooling air distribution of grate cooler with different inlet temperatures by using genetic algorithm

Science China Technological Sciences ◽

10.1007/s11431-016-0604-3 ◽

2017 ◽

Vol 60 (3) ◽

pp. 345-354 ◽

Cited By ~ 3

Author(s):

Wei Shao ◽

Zheng Cui ◽

Lin Cheng

Keyword(s):

Genetic Algorithm ◽

Air Distribution ◽

Multi Objective Optimization ◽

Multi Objective ◽

Grate Cooler ◽

Cooling Air

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Multi-Objective Optimization of Fuel Injection Pattern for a Light-Duty Diesel Engine through Numerical Simulation

SAE International Journal of Engines ◽

10.4271/2018-01-1124 ◽

2018 ◽

Vol 11 (6) ◽

pp. 1093-1107

Author(s):

Andrea Piano ◽

Federico Millo ◽

Francesco Sapio ◽

Francesco Concetto Pesce

Keyword(s):

Numerical Simulation ◽

Diesel Engine ◽

Fuel Injection ◽

Multi Objective Optimization ◽

Multi Objective ◽

Light Duty

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Theoretical prediction and crashworthiness optimization of multi-cell polygonal tubes

Journal of Sandwich Structures & Materials ◽

10.1177/1099636217737330 ◽

2017 ◽

Vol 22 (2) ◽

pp. 190-219 ◽

Cited By ~ 4

Author(s):

Hanfeng Yin ◽

Guilin Wen ◽

Zhonghao Bai ◽

Zhewu Chen ◽

Qixiang Qing

Keyword(s):

Numerical Simulation ◽

Theoretical Prediction ◽

Energy Absorption ◽

Optimization Method ◽

Absorption Capacity ◽

Numerical Results ◽

Multi Objective Optimization ◽

Vehicle Engineering ◽

Energy Absorption Capacity ◽

Multi Objective

Multi-cell polygonal tubes are highly efficient energy absorbers and widely used in vehicle engineering. There is no doubt that the structure designers have strong interest to know which kind of multi-cell polygonal tube has the best crashworthiness. However, the comparative study on the crashworthiness of multi-cell polygonal tubes with different edges was quite few. In this paper, the multi-cell polygonal single and bitubular tubes were investigated using the numerical simulation and theoretical prediction methods. Theoretical expressions of the mean crushing forces of the multi-cell polygonal single and bitubular tubes with arbitrary edge were derived by employing the simplified super folding element theory. The theoretical predictions well coincided with the numerical results. Based on the theoretical and numerical results, it can be found that the multi-cell polygonal bitubular tube with 18 edges had the best energy absorption capacity. In order to further improve the crashworthiness of multi-cell polygonal tube, a metamodel-based multi-objective optimization method which jointly employed the finite element simulation, metamodelling method and non-dominated sorting genetic algorithm ver. II multi-objective optimization algorithm was developed. Based on this metamodel-based optimization method, the multi-cell polygonal bitubular tube with 18 edges was optimized. The theoretical prediction also had good agreement with the numerical simulation result for the optimal design. The optimal multi-cell polygonal tube not only had excellent energy absorption capacity but also had stable collapse mode.

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