基于遗传算法的超硬磨料高速砂轮基体截面优化设计

Optimum Design of Cross-section of Super-hard Abrasive High Speed Grinding Wheels Based on Genetic Algorithm

基于遗传算法,采用有限元分析软件ANSYS对砂轮基体截面进行优化设计。首先对已有超高速砂轮进行了有限元分析,然后采用ANSYS提供的参数化设计语言(APDL)建立超高速砂轮基体的参数化模型,并与遗传算法相结合,以砂轮基体最大最小环向应力差最小化为目标函数进行优化。结果表明:与现用超高速砂轮相比,优化设计后的砂轮基体的环向应力分布均匀,砂轮基体的最大环向应力以及膨胀量明显减小。

This paper uses ANSYS to carry out the optimum design of cross-section of ultra-high speed grinding wheels based on genetic algorithm, analyzes the existing ultra-high speed grinding wheels and then establishes a parametric model of ultra-high speed grinding wheels by using APDL. The objective of the optimum design is to minimize the difference value between the maximum and minimum tangential stress. It is found that the difference value between the maximum and minimum tangential stress is reduced greatly after optimal design and the values of maximum tangential stress and swelling capacity both decrease, compared with the existing ultra-high speed grinding wheels.