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细长轴车削表面粗糙度实验与分析
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国家自然科学基金面上项目(52175108);山西省重点研发项目(202102010101009)


Experimental Study on Surface Roughness in Turning of Slender Long Workpieces
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    摘要:

    为了明确加工状态及切削参数对细长轴类零件切削表面粗糙度的影响规律,通过刀具切削刃与工件表面形貌的几何映射关系,推导轴向截面的轮廓曲线方程,得出不同切削参数下的理论表面粗糙度值;对比分析不同加工状态、切削参数下细长轴切削表面粗糙度数据。结果表明:稳定切削时,细长轴工件的振动以主轴转频及其倍频为主,加工表面粗糙度受进给量影响最大,粗糙度随进给量的增大而增大,工件刚度较大时理论粗糙度与实测结果误差较小;当颤振发生时,工件振动信号中出现与其固有频率接近的高频振动成分,此时粗糙度理论预测结果与实测结果误差较大。理论模型中应充分融合工艺系统的振动信息,可进一步提高预测模型的精度与适用范围。

    Abstract:

    In order to investigate the effect of machining states and cutting parameters on the surface roughness of slender shafts in turning operations,based on the geometrical mapping relationship between cutting edge of tool and surface morphology of workpiece,the contour curve equation of axial section was derived,the theoretical surface roughness values under different cutting parameters were obtained.The surface roughness data of slender shaft turning under different machining states and cutting parameters were compared and analyzed.The results show that during stable turning,the vibration of slender shaft workpiece is mainly caused by spindle rotation frequency and its frequency multiplication.During this process,the roughness of machined surface is greatly affected by feed,and the roughness increases with feed.The error between theoretical roughness and measured results is small when the rigidity of workpiece is large.When chatter occurs,a high frequency vibration component appears in the vibration signal of the workpiece which is close to its natural frequency,at this time,the error between the theoretical prediction of roughness and the measured result is large.Vibration information of process system should be fully integrated in theoretical model to further improve the accuracy and applicability of prediction model.

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郭富强,吕凯波,田美霞,王鑫,韩媛,庞新宇.细长轴车削表面粗糙度实验与分析[J].机床与液压,2023,51(24):14-18.
GUO Fuqiang, LYU Kaibo, TIAN Meixia, WANG Xin, HAN Yuan, PANG Xinyu. Experimental Study on Surface Roughness in Turning of Slender Long Workpieces[J]. Machine Tool & Hydraulics,2023,51(24):14-18

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  • 在线发布日期: 2024-01-05
  • 出版日期: 2023-12-28