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作 者:侯军明 王保升[2] 吕东升 HOU Junming;WANG Baosheng;LYU Dongsheng(Industrial Center,Nanjing Institute of Technology,Nanjing 211167,China;Jiangsu Provincial Engineering Laboratory of Intelligent Manufacturing Equipment,Nanjing Institute of Technology,Nanjing 211167,China)
机构地区:[1]南京工程学院工业中心,南京211167 [2]南京工程学院江苏省智能制造装备工程实验室,南京211167
出 处:《组合机床与自动化加工技术》2024年第9期173-177,182,共6页Modular Machine Tool & Automatic Manufacturing Technique
基 金:江苏省高校自然科学基金重大项目(21KJA460011,22KJA460006);南京工程学院科研基金项目(ZKJ202103)。
摘 要:Ti-6Al-4V钛合金加工过程中易出现加工振动现象,加工振动会加剧刀具磨损,降低刀具寿命。在Taylor刀具寿命扩展模型的基础上,提出了考虑薄壁加工系统模态参数的铣削刀具寿命预测模型。首先,开展了模态测量试验和铣削加工刀具磨损试验,获取了系统的模态参数和刀具的磨损值;其次,利用模态参数和磨损值建立铣削刀具寿命预测模型,并对各参量对铣削加工刀具寿命的影响进行对比分析;最后,通过钛合金Ti-6Al-4V切削加工试验验证了该模型的预测精度和可靠性。结果表明,基于加工颤振特征分析的铣削刀具寿命预测方法能够准确地预测薄壁零件加工中的刀具寿命,为进一步提高刀具寿命和加工质量提供了理论指导和实践参考。During the machining process of Ti-6Al-4V titanium alloy,the machining vibration is prone to occur,which can accelerate tool wear and reduce tool life.In this study,based on the Taylor tool life extension model,a milling tool life prediction model considering the modal parameters of the thin-walled machining system is proposed.First,modal measurement experiments and milling tool wear tests are conducted to obtain the system's modal parameters and tool wear values.Then,the milling tool life prediction model is established using the modal parameters and wear values,and the impact of various parameters on tool life in milling is compared and analyzed.Finally,The accuracy and reliability of the model were validated through cutting experiments using titanium alloy Ti-6Al-4V.The results show that the milling tool life prediction method based on the analysis of machining chatter characteristics can more accurately predict tool life in the machining of thin-walled components,providing theoretical guidance and practical references for further improving tool life and machining quality.
分 类 号:TH16[机械工程—机械制造及自动化] TG71[金属学及工艺—刀具与模具]
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