Abstract Polycrystalline Cubic Boron Nitride (PCBN) has been considered as the main cutting tool material for hard turning, which has the comparable surface finish quality as grinding, and high efficiency, economical technology in production. It is well known that the abrasiveness of the workpiece have the very important role of the machinability of the materials. Therefore, the tool wear of the PCBN insert correlates with abrasiveness of the materials very much. In the presented paper, the influence of the micro hardness distribution is used to explain the wear mechanism in machining of the high abrasive materials and proposed a model to predict the abrasiveness. The work material is high chromium cast iron and cutting tool material is PCBN. Abrasiveness are evaluated from the micro hardness distribution by nanoindentation for the distinguish microstructure with hardness. The mapping image of the micro hardness showed the matched features with microstructure images from the scanning electron microscope (SEM). The different chemical composition groups are presented as three heat treatment conditions in experiments, which are as-cast, annealed and hardened. Based on the hardness distribution, this paper presented a model to evaluate the abrasiveness index of the material. The high performance machining is done on six material. The wear mechanism is abrasion in tool wear dominantly and flank wear showed the linear relationship with abrasiveness index. The abrasive wear on the cutting edge suggests that sliding and chipping are the main wear modes which is caused by the combination effect of carbides and matrix. The four mechanisms of diffusion, chemical, abrasive and micro chipping are happening in the tool wear of hard turning. In the dry machining by PCBN insert, abrasiveness is correlated with abrasive and chipping very much and accelerated the crater wear in machining. Abrasiveness index of the material has ability to predict wear performance in dry machining of HCWCI materials by PCBN inserts. The application of the abrasiveness is a potential parameter of machinability to improve the machining efficiency and reduce the cost of machining.

中文翻译：

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高铬铸铁材料磨蚀性对PCBN刀具干式加工磨损性能的评价

摘要 多晶立方氮化硼(PCBN)被认为是硬车削的主要切削刀具材料，具有与磨削相当的表面光洁度，以及高效、经济的生产工艺。众所周知，工件的磨蚀性对材料的可加工性有着非常重要的作用。因此，PCBN 刀片的刀具磨损与材料的磨蚀性密切相关。在本文中，显微硬度分布的影响被用来解释高磨蚀性材料加工中的磨损机制，并提出了一个预测磨蚀性的模型。工作材料为高铬铸铁，刀具材料为PCBN。通过纳米压痕从显微硬度分布评估磨蚀性，以区分微观结构与硬度。显微硬度的映射图像显示出与扫描电子显微镜 (SEM) 的微观结构图像匹配的特征。不同的化学成分组在实验中表示为三种热处理条件，即铸态、退火和硬化。基于硬度分布，本文提出了一种评估材料磨蚀性指数的模型。高性能加工是在六种材料上完成的。磨损机理在刀具磨损中以磨损为主，后刀面磨损与磨耗指数呈线性关系。切削刃上的磨粒磨损表明滑动和崩刃是主要的磨损方式，这是由碳化物和基体的共同作用引起的。扩散、化学、磨料和微崩刃四种机制在硬车削刀具磨损中发生。PCBN刀片干式加工中，磨蚀性与磨粒和崩刃有很大关系，加速了加工中的月牙洼磨损。材料的磨蚀性指数能够预测 PCBN 刀片干加工 HCWCI 材料的磨损性能。磨蚀性的应用是可加工性的一个潜在参数，可提高加工效率并降低加工成本。PCBN刀片干式加工中，磨蚀性与磨粒和崩刃有很大关系，加速了加工中的月牙洼磨损。材料的磨蚀性指数能够预测 PCBN 刀片干加工 HCWCI 材料的磨损性能。磨蚀性的应用是可加工性的一个潜在参数，可提高加工效率并降低加工成本。PCBN刀片干式加工中，磨蚀性与磨粒和崩刃有很大关系，加速了加工中的月牙洼磨损。材料的磨蚀性指数能够预测 PCBN 刀片干加工 HCWCI 材料的磨损性能。磨蚀性的应用是可加工性的一个潜在参数，可提高加工效率并降低加工成本。