基于刀具振动模式特征的深孔圆度误差预测方法

doi:10.3969/j.issn.1000-1093.2018.02.020

兵工学报 ›› 2018, Vol. 39 ›› Issue (2): 364-372.doi: 10.3969/j.issn.1000-1093.2018.02.020

基于刀具振动模式特征的深孔圆度误差预测方法

李超¹，孔令飞¹, 梁炎眀², 江和龄¹, 晏冬¹

(1.西安理工大学陕西省制造装备重点实验室，陕西西安 710048;2.西安理工大学自动化与信息工程学院，陕西西安 710048)

收稿日期:2017-05-02 修回日期:2017-05-02 上线日期:2018-04-04
作者简介:李超（1992—），男,硕士研究生。E-mail：870556752@qq.com
基金资助:
国家自然科学基金项目(51475367、51505377)；国家科技重大专项项目(2014ZX04001-191)

Prediction Method for Roundness Error of Machined Deep-hole Based on Vibration Behaviors of Cutting Tools

LI Chao¹, KONG Ling-fei¹, LIANG Yan-ming², JIANG He-ling¹, YAN Dong¹

(1.Key Laboratory of Mechanical Equipment of Shaanxi, Xi'an University of Technology, Xi'an 710048, Shaanxi, China;2.School of Automation and Information Engineering, Xi'an University of Technology, Xi'an 710048 ,Shaanxi, China)

Received:2017-05-02 Revised:2017-05-02 Online:2018-04-04

摘要/Abstract

摘要： 依据深孔加工的实际工作特点，提出了以刀具振动信号时频信息为输入特征的加工孔圆度误差预测方法。为了构建刀具振动特征与深孔加工圆度误差之间的映射关系，利用改进的模糊聚类技术，并将其引入到标准线性支持向量机算法中，使得刀具振动模式的模糊输入空间划分问题转化成初始输入空间的初值问题，实现了在规则数较少的情况下，仍具有较好的圆度误差辨识算法、辨识精度及泛化能力。以此为基础，构建了深孔钻削加工孔圆度误差的预测模型，并结合大量的实验数据，验证了提出的加工孔圆度误差预测模型的有效性与可行性。

关键词: 深孔钻削, 圆度误差, 刀具振动, 预测方法

Abstract: On the basis of feature of machined deep hole, an intelligent recognition method is proposed to predict the roundness error of machined hole by using the time-frequency domain information of machining tool cutting vibration. In order to establish the relationship of tool cutting vibration and roundness error, the partitioning problem of the fuzzy input-space of vibration mode is converted into the initial value of input space by introducing the modified fuzzy clustering algorithm into support vector machine, so that the higher accuracy and generalization ability of the proposed method are guaranteed simultaneously. On this basis, a prediction model for roundness error of machined deep-hole is built. A series of experiments were conducted with different cutting parameters and electric currents acting on vibration suppression instrument. The experimental results show that the proposed method is effective and feasible.Key

Key words: deep-holedrilling, roundnesserror, toolcuttingvibration, predictionmethod

中图分类号:

O322

李超，孔令飞, 梁炎眀, 江和龄, 晏冬. 基于刀具振动模式特征的深孔圆度误差预测方法[J]. 兵工学报, 2018, 39(2): 364-372.

LI Chao, KONG Ling-fei, LIANG Yan-ming, JIANG He-ling, YAN Dong. Prediction Method for Roundness Error of Machined Deep-hole Based on Vibration Behaviors of Cutting Tools[J]. Acta Armamentarii, 2018, 39(2): 364-372.

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第39卷
第2期2018 年2月兵工学报ACTA
ARMAMENTARIIVol.39No.2Feb.2018

基于刀具振动模式特征的深孔圆度误差预测方法

Prediction Method for Roundness Error of Machined Deep-hole Based on Vibration Behaviors of Cutting Tools

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