采用向量场平滑的磨削质量模型修正方法

齐俊德; 张定华; 陈冰

doi:10.13433/j.cnki.1003-8728.20180257

采用向量场平滑的磨削质量模型修正方法

doi: 10.13433/j.cnki.1003-8728.20180257

西北工业大学机电学院, 西安 710072

基金项目:

国家科技重大专项项目 2015ZX04001202

详细信息

作者简介:
齐俊德(1987-), 博士后, 研究方向为机器人磨削装备及工艺研究, qijunde@nwpu.edu.cn

中图分类号: TH165
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- 文章访问数: 265
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- 被引次数: 0
出版历程
- 收稿日期: 2018-09-12
- 刊出日期: 2019-05-05

A Modified Model for Grinding Quality based on VFS Method

School of Mechanical Engineering, Northwestern Polytechnical University, Xi'an 710072, China

摘要

摘要: 磨削过程复杂，影响因素众多，因此易产生过程波动，进而影响产品的加工质量。针对该问题，以磨削工艺参数为研究对象，提出了一种基于向量场平滑算法（VFS）的磨削模型修正方法。首先提出基于改进型马氏距离的磨削参数关联性分析方法，采用多元回归分析方法构建了磨削质量预测模型，引入参数灵敏度函数表征不同参数对于磨削质量的影响程度，提升了分析方法的准确性。然后依据参数关联性特征，采用VFS算法给出了磨削工艺参数修正方法，并基于新的工艺参数进行质量模型修正与参数规划。最后基于机器人磨削平台进行了砂带磨削实验。结果表明：采用质量修正模型后的工艺参数可以较好满足磨削质量要求，从而验证了本文方法的有效性。
- 磨削 /
- 马氏距离 /
- 参数灵敏度 /
- 向量场平滑 /
- 修正模型
Abstract: The grinding process is complex and has many influencing factors, which is easy to produce process fluctuations and affects the product quality. Aiming at the above-mentioned problem, a grinding modified-model based on the vector field smoothing algorithm (VFS) is proposed. Firstly, the correlation analysis method of grinding parameters based on the improved-mahalanobis distance is proposed. The multi-regression analysis method is used to construct the prediction model for grinding quality and the parameter sensitivity function is introduced to characterize the influence degree of the different parameters on the grinding quality, which can improve the accuracy of the method. Secondly, according to the correlation characteristics of parameters, the modified method of grinding process parameters is given based on the VFS algorithm, and the modified quality model and parameter planning can be carried out based on the new process parameters. Finally, the abrasive belt grinding experiments were carried out based on the robotic grinding platform. The results show that the process parameters based on the modified quality model can meet the quality requirements, which verified the effectiveness of the method.
- grinding /
- mahalanobis distance /
- parameter sensitivity /
- VFS /
- modified model

HTML全文

图 1 机器人砂带磨削实验装置

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图 2 基于修正模型的样件磨削效果对比

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表 1 磨削系统硬件基本参数

硬件	参数取值
磨粒	M=400, E₃=300 GPa, ν₃=0.24
砂带轮	E₁=7.84 MPa, ν₁=0.47, r₁=8 mm,
钛合金工件	E₂=110 GPa, ν₂=0.33, r₂=150 mm, H_B=1.012 GPa
注:M为磨料粒度; E为材料弹性模量; ν为材料泊松比; r为工具曲率; H为材料硬度。

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表 2 正交实验参数以及粗糙度结果

序号	法向力/N	进给速度/(mm·s^-1)	线速度/(mm·s^-1)	粗糙度/μm
1	5	10	6	0.385
2	15	10	10	0.441
3	25	10	14	0.492
4	5	30	10	0.393
5	15	30	14	0.462
6	25	30	6	0.537
7	5	50	14	0.352
8	15	50	6	0.522
9	25	50	10	0.535

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