• CN:11-2187/TH
  • ISSN:0577-6686

›› 2011, Vol. 47 ›› Issue (17): 150-155.

• 论文 • 上一篇    下一篇

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周铣过程中加工误差预测新模型

党建卫;张卫红;万敏;杨昀;王怡婷   

  1. 西北工业大学现代设计与集成制造技术教育部重点实验室
  • 发布日期:2011-09-05

A Novel Model for Predicting Machining Error in Peripheral Milling Process

DANG Jianwei;ZHANG Weihong;WAN Min;YANG Yun;WANG Yiting   

  1. Key Laboratory of Contemporary Design and Integrated Manufacturing Technology of Ministry of Education, Northwestern Polytechnical University
  • Published:2011-09-05

摘要: 研究铣削加工过程中加工误差的预测及控制策略是进行加工质量控制的核心环节,对于实现加工过程的高效化和精密化至关重要。针对刀具柔性较大的铣削加工过程,以周铣加工过程中的刀具变形及刀齿轨迹计算为基础,建立一种新的加工误差预测模型。该模型从铣削力的预测和刀具变形的计算出发,采用圆弧近似方法求解各刀齿的运动轨迹,然后将各刀齿轨迹离散,通过计算各离散点处所有刀齿轨迹的最小值获得加工误差。与现有方法相比,该建模方法的显著优点体现在两点:一方面,建模过程较完整地揭示了铣削加工中加工误差的形成机理;另一方面,由于考虑了刀齿轨迹对加工误差的影响,模型的预测结果能够反映已加工表面的形貌。模型的有效性通过一系列铣削试验得到了验证。

关键词: 刀齿轨迹, 刀具变形, 加工误差, 周铣

Abstract: Investigations on the prediction and controlling of machining error in milling process are the key issues for machining quality control. They are of great significance to ensure productivity and accuracy for machining process. Based on cutter deflection and cutter edge trajectories, a novel modeling method for predicting the machining error in peripheral milling process with flexible cutter is presented. Key ideas of this method can be listed as follows. The cutter deflection is calculated based on the predicted cutting force. The cutter edge trajectories are solved in light of circular approximation. The machining error is determined by searching for the minimal value of all cutter edge trajectories. Compared with the existing methods, the remarkable feature of the presented method lies in two aspects. On the one hand, the generation mechanism of machining error is well revealed in the modeling procedure. On the other hand, since the influences of cutter edge trajectory on machining error are concerned, the prediction result can illustrate the surface topography. The validity of the presented model is experimentally demonstrated by a series of cutting tests

Key words: Cutter deflection, Cutter edge trajectory, Machining error, Peripheral milling

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