Abstract

To optimize the high-speed milling parameters of titanium alloy TC17, the influence of cutting parameters on cutting force and surface roughness was analyzed according to TC17 high-speed milling experiments. Moreover, the prediction model of the cutting force and the surface roughness was established by the regression method, and the multi-objective optimization using genetic algorithm obtains the range of cutting parameters. Ultimately, the optimized parameters combination was gotten, and its reliability was verified. The result shows that the cutting depth plays a significant role in the cutting force and the surface roughness. The optimized parameters combination can effectively improve machining efficiency and quality.

摘要

为优化钛合金TC17的高速铣削参数，根据TC17高速铣削实验，分析了切削参数对切削力和表面粗糙度的影响。此外，通过回归方法建立切削力和表面粗糙度的预测模型，利用遗传算法进行多目标优化，得到切削参数范围。最终得到了优化后的参数组合，并验证了其可靠性。结果表明，切削深度对切削力和表面粗糙度有显着影响。优化的参数组合可有效提高加工效率和质量。