An accurate estimation of tool wear morphology can provide the opportunity to investigate the influence of tool wear on cutting performance as well as reduce the overall production cost.However,tool wear prediction is...An accurate estimation of tool wear morphology can provide the opportunity to investigate the influence of tool wear on cutting performance as well as reduce the overall production cost.However,tool wear prediction is still a very challenging research issue.In this paper,a novel method for simulating the actual chip formation and wear evolution thorough the 3 D finite element model has been carried out.In order to improve the accuracy of simulation results,the influence of worn tool,stress and temperature distribution on wear rate are considered.Then cutting experiment has been conducted by turning AISI1045 with uncoated carbide tools to validate the accuracy of the proposed model.The comparison between experimental and simulation results show good agreement which proves the ability of the proposed model in forecasting the tool wear.The validated finite element model has been further utilized studying how the worn tool affects the cutting performance including actual cutting rake,stress distribution,cutting force and temperature.The results of this paper not only provide a clear understanding of wear evolution between tool rake face and chip,but also are meaningful to optimize tool design and cutting parameters.展开更多
基金financial support for this work by the National Natural Science Foundation of China(No.51975334)Key R&D project of Shandong Province(2018GGX103005 and 2019JMRH0407)the Fundamental Research Funds of Shandong University。
文摘An accurate estimation of tool wear morphology can provide the opportunity to investigate the influence of tool wear on cutting performance as well as reduce the overall production cost.However,tool wear prediction is still a very challenging research issue.In this paper,a novel method for simulating the actual chip formation and wear evolution thorough the 3 D finite element model has been carried out.In order to improve the accuracy of simulation results,the influence of worn tool,stress and temperature distribution on wear rate are considered.Then cutting experiment has been conducted by turning AISI1045 with uncoated carbide tools to validate the accuracy of the proposed model.The comparison between experimental and simulation results show good agreement which proves the ability of the proposed model in forecasting the tool wear.The validated finite element model has been further utilized studying how the worn tool affects the cutting performance including actual cutting rake,stress distribution,cutting force and temperature.The results of this paper not only provide a clear understanding of wear evolution between tool rake face and chip,but also are meaningful to optimize tool design and cutting parameters.
