Optimal Design of Automotive Steering Column Bearing by Simulated Annealing Algorithm

2011 ◽  
Vol 189-193 ◽  
pp. 1486-1493
Author(s):  
Sui Ran Yu ◽  
Jing Tao
Keyword(s):  
Simulated Annealing ◽  
Optimal Design ◽  
Optimization Design ◽  
Simulated Annealing Algorithm ◽  
Steering System ◽  
Steering Wheel ◽  
Optimized Design ◽  
Chinese Market ◽  
Design Problems ◽  
Annealing Algorithm

The steering column assembly which connects the steering wheel and the steering gear is a very important part of the steering system. This paper presented the optimization design and testing of the steering column upper bearing of an upcoming automobile targeting the 2010-2015 Chinese market. The design problems were formulated into an optimization problem and were solved by Simulated Annealing Algorithm. 6 sample bearings were produced according to the optimization results and tests of steering upper bearing durability, steering shaft looseness and rotation effects performed on each sample to verify the optimized design. According to the test results, the optimal design of the steering column upper bearing is reliable. By using the Simulated Annealing Algorithm, the design time and costs of the steering upper bearing were reduce at least by 2 months and 60,000 USD, respectively.

The Elastic Suspension Design Based on Optimized Design of Simulated Annealing Complex Method

2012 ◽  
Vol 538-541 ◽  
pp. 792-796
Author(s):  
Wei Hua Huang ◽  
Yu Peng He
Keyword(s):  
Simulated Annealing ◽  
Optimization Design ◽  
Simulated Annealing Algorithm ◽  
Optimization Methods ◽  
Complex Method ◽  
Optimized Design ◽  
Elastic Suspension ◽  
Compound Method ◽  
Annealing Algorithm ◽  
Searching Ability

As the global properties of traditional optimization algorithm was weak, the local solution of it appeared easily.The simulated annealing algorithm’s cooling rate was slower and he local searching ability was insufficient. Use the simulated annealing compound method that is combined of the simulated annealing algorithm and compound method. Research the optimization design of elastic suspension with the genetic compound method and compare with the traditional optimization methods. The results show that the algorithm is correct and effective in solving multi variable and constraint optimization problem of elastic suspension.

Acoustic Optimization Design Method of Gear System

2014 ◽  
Vol 1016 ◽  
pp. 256-260
Author(s):  
Ze Yin He ◽  
Teng Jiao Lin ◽  
Wen Liu ◽  
Bo Liu
Keyword(s):  
Simulated Annealing ◽  
Optimization Design ◽  
Simulated Annealing Algorithm ◽  
Design Method ◽  
Gear System ◽  
Acoustic Properties ◽  
System A ◽  
Surface Method ◽  
Radiation Noise ◽  
Annealing Algorithm

The Response Surface Method (RSM) and Simulated Annealing Algorithm (SAA) are utilized to analysis and optimize the vibro-acoustic properties of gear system. A simple case is illustrated to demonstrate the capabilities of the acoustic optimization design method. The results show that the method of acoustic optimization design based on RSM and SAA can effectively reduce radiation noise, and provide theoretical fundament and guidance for further study on acoustic optimization design of complicated gear system.

The Application and Comparison of Two Different Optimization Algorithms in the Optimization Design of Hydrofoil

2012 ◽  
Vol 178-181 ◽  
pp. 2871-2876
Author(s):  
Chao Wang ◽  
Feng Feng ◽  
Xin Chang ◽  
Chun Yu Guo ◽  
Yang Hao Liu
Keyword(s):  
Genetic Algorithm ◽  
Simulated Annealing ◽  
Optimization Design ◽  
Simulated Annealing Algorithm ◽  
Optimization Algorithms ◽  
Optimization Method ◽  
Flow Solver ◽  
Propeller Design ◽  
Section Design ◽  
Annealing Algorithm

Hydrofoil is the important part of ship design and diverse motion equipment. The optimization design of hydrofoil section on lift-to-drag radio with genetic algorithm (GA) and simulated annealing algorithm are demonstrated, and the method on the hydrofoil section design of the propeller design will be done. Objective function and fitness of every individual are provided by flow solver of panel method. The optimization method on design of hydrofoil section on lift-to-drag is successfully used. The optimization results show the combination of optimization algorithm is feasible at the optimal design of hydrofoil sections. What’s more, a comparison between two different optimization algorithms is made, a conclusion that the simulated annealing algorithm is better then the genetic algorithm is obtained.

scholarly journals Quasi-flat linear PM generator optimization using simulated annealing algorithm for WEC in Indonesia

2019 ◽  
Vol 10 (1) ◽  
pp. 29 ◽  
Author(s):  
Budi Azhari ◽  
Fransisco Danang Wijaya
Keyword(s):  
Simulated Annealing ◽  
Permanent Magnet ◽  
Wave Energy ◽  
Simulated Annealing Algorithm ◽  
Optimized Design ◽  
Energy Converter ◽  
Copper Loss ◽  
Flat Type ◽  
Annealing Algorithm ◽  
Heave Motion

Linear permanent magnet generator (LPMG) is an essential component in recent wave energy converter (WEC) which exploits wave’s heave motion. It could be classified into tubular-type, flat-tricore type, and quasi-flat type. In previous researches, these three models have been studied and designed for pico-scale WEC. Design optimization has further been conducted for flat-tricore LPMG, by using simulated annealing (SA) algorithm. It modified some parameters to minimize the resulted copper loss. This paper aims to optimize a quasi-flat LPMG design by applying SA algorithm. The algorithm would readjust the initial LPMG parts dimension. Then, the output of the optimized design would be analyzed and compared. The results showed that the optimization could reduce the copper loss by up to 73.64 % and increase the efficiency from 83.2 % to 95.57 %. For various load resistances, the optimized design also produces larger efficiency. However, the optimized design has a larger size and produces larger cogging force than the initial design.

Optimization Design of Xenon Flashlamp Pumping in Nd Glass Slab Amplifier Based on Simulated Annealing Algorithm

2014 ◽  
Vol 34 (2) ◽  
pp. 0214002
Author(s):  
刘涛 Liu Tao ◽  
周申蕾 Zhou Shenlei ◽  
张攀政 Zhang Panzheng ◽  
王利 Wang Li ◽  
张军勇 Zhang Junyong
Keyword(s):  
Simulated Annealing ◽  
Optimization Design ◽  
Simulated Annealing Algorithm ◽  
Annealing Algorithm ◽  
Xenon Flashlamp ◽  
Glass Slab

Optimization of Aluminum Foam by Simulated Annealing

2012 ◽  
Vol 573-574 ◽  
pp. 1187-1192
Author(s):  
Xiao Hong Zhang ◽  
Jiang Tao Zhang
Keyword(s):  
Simulated Annealing ◽  
Sound Absorption ◽  
Optimization Design ◽  
Aluminum Foam ◽  
Simulated Annealing Algorithm ◽  
Absorption Properties ◽  
Cavity Structure ◽  
Annealing Algorithm ◽  
Two Parameters ◽  
Single Cavity

According to two parameters combination of the material thickness and air-gap depth, from the angle of pure optimization, this paper obtained the optimal parameters of single cavity and double cavity structure by using the simulated annealing algorithm for single cavity and double cavity of aluminum foam sound absorption structure of systematically optimization design at 100-4000HZ frequency band. Finally, studying effect of increasing the number of cavity on aluminum foam sound absorption properties.

Optimal Design of Solenoid Actuators Driving Butterfly Valves

2013 ◽  
Vol 135 (9) ◽  
Author(s):  
Peiman N. Mousavi ◽  
C. Nataraj
Keyword(s):  
Optimal Design ◽  
Intelligent Design ◽  
Simulated Annealing Algorithm ◽  
Dynamic Models ◽  
Optimized Design ◽  
Local Power ◽  
Design Variables ◽  
Annealing Algorithm ◽  
Nonlinear Dynamic Models ◽  
Full Consideration

Smart valves are used in cooling applications and are responsible for regulating and supplying the coolant, which is critical for safe and effective operation of many components on naval and commercial ships. In order to be operated under local power (for various mission-critical reasons) they need to consume as little energy as possible in order to ensure continued operability. This paper focuses on optimized design of a typical system using high fidelity nonlinear dynamic models for all the subsystems with full consideration of stability constraints. A simulated annealing algorithm is applied to explore optimal design using two sets of design variables. The results indicate that substantial amount of energy can be saved by an intelligent design that helps select parameters carefully, but also uses hydrodynamic loads to augment the closing effort.

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