Zhang Qinyi, Liu Feng, Wu Dong, Qu Shikang, Liu Wei, Chen Zhangxiao
School of Materials Science and Engineering, Wuhan University of Technology, Wuhan 430070, China.
Yangjiang Advanced Alloys Laboratory, Yangjiang 529500, China.
Materials (Basel). 2023 Jul 31;16(15):5375. doi: 10.3390/ma16155375.
The cutting performance of steel blades is an eternal, attractive topic in the knife industry. It is a complicated process to cut up materials because it usually involves the contact mechanics of the material been cut, the geometry and roughness of the blade edge and the hardness and wear resistance of the blade steel. Therefore, a comprehensive analysis is required to evaluate the cutting performance of knife blades. In this study, such an analysis was conducted based on a quantitative model to describe the cutting depth of paper cards containing SiO particles by steel blades, and major contributing factors were summarized. The effect of the micro-geometries of blade edges was thoroughly discussed, and a geometry factor ξ for the micro-geometry of a blade edge was introduced into the model. The experimental results indicated that mechanical processing could produce a rough blade edge and a higher ξ value, accordingly. A similar effect was caused by the carbides in the martensitic steels for blades, and the ξ value was found to increase linearly with the volumetric fraction of the carbides. The extraordinary cutting behavior of the 3V blade implied that fine coherent carbides may result in an efficient improvement (40-50%) in the total cutting depth.
钢刀片的切削性能是刀具行业中一个永恒且引人关注的话题。切割材料是一个复杂的过程，因为它通常涉及被切割材料的接触力学、刀刃的几何形状和粗糙度以及刀片钢的硬度和耐磨性。因此，需要进行全面分析来评估刀片的切削性能。在本研究中，基于一个定量模型进行了这样的分析，该模型用于描述钢刀片切割含SiO颗粒的纸卡的切削深度，并总结了主要影响因素。深入讨论了刀刃微观几何形状的影响，并将刀刃微观几何形状的几何因子ξ引入模型。实验结果表明，机械加工会产生粗糙的刀刃边缘和相应较高的ξ值。刀片用马氏体钢中的碳化物也会产生类似的效果，并且发现ξ值随碳化物的体积分数呈线性增加。3V刀片的非凡切削行为表明，细小连贯的碳化物可能会使总切削深度有效提高（40 - 50%）。
