Multi-Objective Topological Optimization of Support Frame for High-Speed and Heavy-Load Triangle Track Wheel Based on Analytic Hierarchy Process

2018 ◽  
Author(s):  
Fenghe Wu ◽  
Zhaohua Wang ◽  
Yinxu Sun ◽  
Yulin Yang ◽  
Yongxin Li ◽  
...  
Keyword(s):  
Topology Optimization ◽  
High Speed ◽  
Working Condition ◽  
Average Frequency ◽  
Frequency Method ◽  
Analytic Hierarchy ◽  
Heavy Load ◽  
Multi Objective ◽  
Support Frame ◽  
Hierarchy Process

The high-speed, heavy-load and changeable triangle track wheel is a motion device that can carry out interchange between the track wheel and tire in an ordinary vehicle. The topology optimization for the support frame can reduce weight and improve the maneuverability of the vehicle. However, it is difficult to consider simultaneously its weight, stiffness and modal in the process of the structure optimization. Thus, a topology optimization method for multi-objective and multi-working-condition is proposed based on the AHP (analytic hierarchy process) and average frequency method. Firstly, considering the static multi-stiffness target and dynamic vibration frequency target, using the compromise programming method and average frequency method, the objective function of the multi-objective and multi-working-condition topology optimization is established. Then, based on the optimization target, design criteria and indexes, the lightweight hierarchical structure model of the support frame consisting of three levels and eight weight factors is established. Values of 8 weight coefficients of the multi-objective topology optimization are determined through solving the weight factor judgment matrix. Finally, considering the multi-working-condition, taking the minimum objective function of the static and dynamic characteristics as target, and the volume ratio is 50% as boundary, the mathematical model of the topology optimization is established. Simulation results show that the stiffness and strength of the support frame are improved respectively by 74.3% and 1.3% while its weight is reduced by 16.3%. This method also provides a new way to the lightweight design for other large, heavy and multi-condition equipment.

scholarly journals Multi-Objective Optimization Design of an Electrohydrostatic Actuator Based on a Particle Swarm Optimization Algorithm and an Analytic Hierarchy Process

Energies ◽  
2018 ◽  
Vol 11 (9) ◽  
pp. 2426 ◽  
Author(s):  
Bo Yu ◽  
Shuai Wu ◽  
Zongxia Jiao ◽  
Yaoxing Shang
Keyword(s):  
Particle Swarm Optimization ◽  
Power Consumption ◽  
Analytic Hierarchy Process ◽  
Optimization Design ◽  
Pareto Front ◽  
Multi Objective Optimization ◽  
Analytic Hierarchy ◽  
Swarm Optimization ◽  
Multi Objective ◽  
Hierarchy Process

During the last few years, the concept of more-electric aircraft has been pushed ahead by industry and academics. For a more-electric actuation system, the electrohydrostatic actuator (EHA) has shown its potential for better reliability, low maintenance cost and reducing aircraft weight. Designing an EHA for aviation applications is a hard task, which should balance several inconsistent objectives simultaneously, such as weight, stiffness and power consumption. This work presents a method to obtain the optimal EHA, which combines multi-objective optimization with a synthetic decision method, that is, a multi-objective optimization design method, that can combine designers’ preferences and experiences. The evaluation model of an EHA in terms of weight, stiffness and power consumption is studied in the first section. Then, a multi-objective particle swarm optimization (MOPSO) algorithm is introduced to obtain the Pareto front, and an analytic hierarchy process (AHP) is applied to help find the optimal design in the Pareto front. A demo of an EHA design illustrates the feasibility of the proposed method.

On a Decision Making Method Based on Ideal Objective Method

2013 ◽  
Vol 347-350 ◽  
pp. 3186-3189
Author(s):  
Tian Wen Luo ◽  
Hai Feng Tan ◽  
Xiao Juan Wang ◽  
Xin Wei Bai
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Solution Method ◽  
Ideal Solution ◽  
Objective Method ◽  
Analytic Hierarchy ◽  
Multi Objective ◽  
Hierarchy Process

By comparing several typical multi-objective decision-making methods, an ideal objective method is proposed, which combines Similarity to Ideal Solution Method and Analytic Hierarchy Process (AHP). After validation, this ideal objective method is both scientific and accurate in the process of target key decision.

Evaluation of Electric Vehicles' Impacts and Rationalization of their Energy Sources' Distribution Based on Analytic Hierarchy Process and Multi-Objective Programming Model

2014 ◽  
Vol 707 ◽  
pp. 525-531
Author(s):  
Ze Ming Jiang ◽  
Cong Hou
Keyword(s):  
Analytic Hierarchy Process ◽  
Electric Vehicles ◽  
Programming Model ◽  
Key Factors ◽  
Analytic Hierarchy ◽  
Multi Objective ◽  
Multi Objective Programming ◽  
Objective Programming ◽  
Hierarchy Process ◽  
Economic And Social Impacts

By using Analytic Hierarchy Process (AHP), a solution is given in different aspects to analyze the weight of the impacts of electric vehicles. The economic and social impacts are found out to be the key factors. When EV’s penetration rate reaches a certain level, the lowest cost, lowest harm degree to our environment and society, and maximum possibility are considered to avoid using un-renewable energy. In addition, multi-objective programming model is built to solve the problem of the amount and type of electricity generation needed that will produce the largest number of benefits.

Regulator Experiment of Lubricating Oil Reutilization of DongFeng 4B (DF4B) Type Locomotive

2011 ◽  
Vol 396-398 ◽  
pp. 1895-1898
Author(s):  
Chong Zhuo Wang ◽  
Bao Hui Wang
Keyword(s):  
High Speed ◽  
Simulation Experiment ◽  
Working Condition ◽  
Laboratory Simulation ◽  
Lubricating Oil ◽  
Heavy Load ◽  
New Thought ◽  
Oil Resources ◽  
Long Time ◽  
Train Speed

With the increase of locomotive traction tonnage and train speed improvements, the DF4B locomotives have been in heavy load and high speed working condition for long time, while the lubricating oil dilution problem has not been solved. We have been in the research of the three-generation oil dilution of theDF4B locomotives in laboratory simulation experiment, especially in the oil addition experiments of the kinematic viscosity, and got a numerical trend graph and regression empirical formula. Through the diluted oil adjusting agent experiment, we inspected DF4B locomotives diesel engine for a period of tracking, and discovered that the modified oil has little influence on locomotive riding quality, thereby providing the new thought of reusing and saving the oil resources.

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