占刚, 何林, 蒋宏婉, 邹中妃. 新型硬质合金微坑车刀切削能对比研究与预测[J]. 工程科学学报, 2017, 39(8): 1207-1214. DOI: 10.13374/j.issn2095-9389.2017.08.010
引用本文: 占刚, 何林, 蒋宏婉, 邹中妃. 新型硬质合金微坑车刀切削能对比研究与预测[J]. 工程科学学报, 2017, 39(8): 1207-1214. DOI: 10.13374/j.issn2095-9389.2017.08.010
ZHAN Gang, HE Lin, JIANG Hong-wan, ZOU Zhong-fei. Performance comparison and prediction of cutting energy of new cemented carbide micro-pit turning tool[J]. Chinese Journal of Engineering, 2017, 39(8): 1207-1214. DOI: 10.13374/j.issn2095-9389.2017.08.010
Citation: ZHAN Gang, HE Lin, JIANG Hong-wan, ZOU Zhong-fei. Performance comparison and prediction of cutting energy of new cemented carbide micro-pit turning tool[J]. Chinese Journal of Engineering, 2017, 39(8): 1207-1214. DOI: 10.13374/j.issn2095-9389.2017.08.010

新型硬质合金微坑车刀切削能对比研究与预测

Performance comparison and prediction of cutting energy of new cemented carbide micro-pit turning tool

  • 摘要: 切削能绝大部分会转化为切削热,进而直接影响切削温度,因此研究切削能的产生、传递与转化对切削温度的研究尤显重要.本文以304不锈钢专用新型硬质合金微坑车刀创新设计为例,通过对新型微坑车刀和原车刀切削过程的切削能比较研究,建立车刀切削过程切削能与前刀面温度的关系模型,开展新型微坑车刀剪切能和摩擦能的预测研究和切削实验验证.研究结果表明,用实际生产推荐切削参数,干式切削情况下,新型硬质合金微坑车刀相比原车刀,输入能量降低8.96%,剪切能降低10.50%,摩擦能降低5.32%;刀具前刀面的切削温度与剪切能和摩擦能呈正相关关系;所建立切削能预测模型可为复杂切削条件下的切削能预测及前刀面切削温度研究提供参照.

     

    Abstract: Cutting energy can be transformed into cutting heat, which directly affects the cutting temperature. Therefore, it is important to understand the generation, transfer, and transformation of cutting energy to cutting temperature. In this paper, an innovation design of a new cemented carbide micro-pit turning tool specially cutting 304 stainless steel was taken as an example. Through comparative studying the cutting performance of new micro-pit turning tool and original turning tool, the relationship model between cutting energy and cutting temperature of rake face was established. And the prediction of shear energy and friction energy of the new micro-pit turning tool and experimental verification were carried out. The results show the input energy to be reduced by 8.96%, the shear energy to be decreased by 10.50% and the friction energy to be reduced by 5.32% compared with the original turning tool under dry cutting conditions using the manufacturer's recommended cutting parameters. The cutting surface temperature can be reduced by a decrease in the cutting energy. The cutting energy prediction model can serve as a reference for predicting cutting energies and cutting face temperatures under complex cutting conditions.

     

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