ZHANG Jilin, SHEN Jiancheng, JIA Haishen, LIANG Zefen, ZHANG Defu. The influence of cutting parameters on the cutting performance of resin polyamide-66 material[J]. Manufacturing Technology & Machine Tool, 2023, (3): 31-38. DOI: 10.19287/j.mtmt.1005-2402.2023.03.004
Citation: ZHANG Jilin, SHEN Jiancheng, JIA Haishen, LIANG Zefen, ZHANG Defu. The influence of cutting parameters on the cutting performance of resin polyamide-66 material[J]. Manufacturing Technology & Machine Tool, 2023, (3): 31-38. DOI: 10.19287/j.mtmt.1005-2402.2023.03.004

The influence of cutting parameters on the cutting performance of resin polyamide-66 material

  • In order to study the influence of cutting parameters on the cutting performance of resin polyamide-66 materials, the single factor and response surface method were used for experimental design and analysis. and roughness. The single factor study shows that when the cutting speed is increased, the cutting force gradually decreases, and the cutting temperature and roughness gradually increase; when the feed rate and the amount of back engagement are increased, the cutting force, cutting temperature and roughness all gradually increase. The quadratic regression model between cutting parameters and cutting force, cutting temperature and surface roughness was constructed by the response surface method, and the parameters of cutting speed, feed and back-cut amount and their interaction on the resin polyamide-66 were studied. The effect of cutting properties of materials. The results show that the quadratic regression model is significant, and its fitting accuracy is 98.89%, 99.09% and 96.00%, respectively. The predicted cutting speed is 90.02 m/min, the feed rate is 0.11 mm/r and the back-cut amount is 2.0 mm, the cutting force is the smallest, the cutting temperature is the lowest and the roughness is the smallest. Cutting tests were performed on the optimal cutting parameters and compared with the predicted results,cutting forces of 32.558 N and 31.762 N, cutting temperatures of 92.5℃ and 90.1℃, and roughness of 0.732 μm and 0.694 μm, respectively, with error rates of 2.44%, 2.59%, and 5.19% between the experimental and predicted values, respectively.
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