The Computer-Aided Graphic Method and Parameter Optimization of the Relief Valve

Author(s):  
Zhi'an Song ◽  
Shanshan Zheng
2011 ◽  
Vol 66-68 ◽  
pp. 944-949
Author(s):  
Huan Su ◽  
Shou Qian Sun ◽  
Hai Hua Ren ◽  
Xiao Jian Liu

The paper introduced a computer-aided industrial design system: Forklift Truck’s Multi Plan Optimizaion System, and demonstrated the modules’ function and techniques with examples. Considering the requirements for efficiency and precision in the forklift styling, the author developed the forklift optimizing software for its styling, which includes parameter optimization, color optimization and part combination three modules. The parameter optimization module can vary the user defined parameters of the forklift models and generate new models. Color optimization module can group the model surfaces and render the groups with different color. New color plans are generated through random changing of the colors in each group. The parts combination module divides forklift into several parts and build lib for each part. The module can pick parts from the lib and assemble them into a whole forklift and demonstrate them. The thesis developed a proto system on the Solidworks platform with VBA programming tools. Interactive genetic algorithms are applied to realize the three module’s function.


Author(s):  
J. A. Caywood ◽  
H. S. Basrai

This paper presents a practical computer-aided method called the ‘grid and star search technique’ for determining the values of adjustable design parameters. The objective is to find that set of values necessary to obtain a solution as nearly optimum as possible. The technique is a systematic search for the best set of parameters in a bounded region of possible answers. A ‘performance index’ must be defined to determine the merit of the solution after each iterative step in the procedure. The design of a spool type hydraulic relief valve is used as a practical example. The adjustable parameters are spring rate, metering orifice size, damping orifice area, and the volume of oil trapped between the pressure-sensing end of the spool and the damping orifice. The driving function is a step input of rated flow, and the optimum response is one with zero pressure overshoot. When the valve was made and tested, comparison between actual and predicted response was satisfactory.


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