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薄壁零件铣削加工振动评价方法研究 被引量:1

Research on vibration evaluation method of thin wall parts in milling
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摘要 薄壁零件加工振动的抑制效果多采用定性分析,难以定量判定其振动严重程度。为了能够定量分析加工振动的抑制效果,评价加工振动的严重程度,文章在加工振动信号测量试验的基础上开展了加工振动评价方法研究。在加工振动信号采集机理分析的基础上,进行了加工振动试验设计,并采集加工中的加速度信号、声音信号以及加工后的表面粗糙度。建立了反映三者之间映射关系的拟合经验模型,并根据工件表面质量和加工精度提出了无振动、轻微振动和严重振动的定量评价方法,为加工振动的测量判定和加工振动抑制效果的评价提供了理论支持。 The vibration suppression effect in the machining of thin-wall parts is often analyzed qualitatively and the vibration severity is difficult to be determined quantitatively.In order to quantitatively analyze the suppression effect of machining vibration and evaluate the severity of machining vibration,this paper carried out the research on the machining vibration evaluation method based on the measurement test of machining vibration signal.Based on the analysis of the mechanism of machining vibration signal acquisition,the design of machining vibration test was carried out.The acceleration signal and the sound signal in machining vibration and the surface roughness after machining were collected.The empirical models were established by fitting method,which reflected the mapping relationship of three kinds of measurement signals.According to the workpiece surface quality and machining accuracy,the quantitative evaluation methods of free vibration,mild vibration and severe vibration are presented.The evaluation method provided theoretical support for the measurement and judgment of machining vibration and the evaluation of machining vibration suppression effect.
作者 侯军明 王保升 汪木兰 郝洪艳 HOU Junming;WANG Baosheng;WANG Mulan;HAO Hongyan(Industrial Center,Nanjing Institute of Technology,Nanjing 211167,CHN;Jiangsu Provincial Engineering Laboratory of Intelligent Manufacturing Equipment,Nanjing 211167,CHN;Jiangsu Key Laboratory of Advanced Numerical Control Technology,Nanjing 211167,CHN)
出处 《制造技术与机床》 北大核心 2023年第6期49-54,共6页 Manufacturing Technology & Machine Tool
基金 江苏省高校自然科学基金重大项目(18KJA460004,21KJA460011,22KJA460006) 南京工程学院科研基金项目(ZKJ202103)。
关键词 薄壁零件 加工振动 经验模型 评价方法 thin wall parts machining vibration empirical model evaluation method
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