结合机床测头的城轨车体底架覆盖测量优化方法

郑晓军; 司昊; 鲍洪阳

doi:10.13433/j.cnki.1003-8728.20190252

结合机床测头的城轨车体底架覆盖测量优化方法

doi: 10.13433/j.cnki.1003-8728.20190252

1.
大连交通大学机械工程学院，辽宁大连　116028
2.
中车长春轨道客车股份有限公司工程技术部，长春　130062

基金项目: 辽宁省自然科学基金指导计划项目（20170540138）与国家重点研发计划项目（2016YFB1200505）资助

详细信息

作者简介:
郑晓军（1982−），副教授，博士，研究方向为智能计算、CAD仿真与集成优化，zhengxj@djtu.edu.cn

中图分类号: TH161
计量
- 文章访问数: 260
- HTML全文浏览量: 31
- PDF下载量: 17
- 被引次数: 0
出版历程
- 收稿日期: 2019-04-15
- 网络出版日期: 2020-08-26
- 刊出日期: 2020-08-05

Optimization Method for Underframe Coverage Measurement for Urban Rail Vehicle Body Combined with Machine Tool Probe

1.
School of Mechanical Engineering, Dalian Jiaotong University, Liaoning Dalian 116028, China
2.
Engineering Department, CRRC Changchun Railway Vehicles Co., Ltd., Changchun 130062, China

摘要

摘要: 为进一步提高当前数控机床对城轨车体底架装夹误差的测量效率及精度，利用英国雷尼绍公司研发的高精度RMP60机床测头，以最小化机床测头的补偿点数量为目标，分别提出了基于分组规划法与动态规划法的城轨车体底架覆盖测量方法，给出了覆盖测量方法的步骤，实现了底架上滑槽点的全覆盖。仿真结果表明，在相同条件下，机床测头利用动态规划法完成对滑槽点全覆盖时所获得的补偿点数量比分组规划法缩减12.9%，且重叠率降低4.47%，所以本文所提方法能够有效提升机床对城轨车体底架滑槽的测量效率及精度。
- 动态规划法 /
- 分组规划法 /
- 机床测头 /
- 覆盖测量
Abstract: In order to further improve the measuring efficiency and accuracy of the clamping error of the underframe of the urban rail vehicle body by using the current CNC machine tools, the high precision RMP60 machine tool probe is developed with Renishaw Company in England in order to minimize the number of compensation points of machine tool probe, and the underframe coverage measurement method of urban rail vehicle body is put forward based on the grouping programming method and dynamic programming method respectively, and the steps of coverage measurement method are given, and the full coverage of chute points on the underframe is realized. The simulation results show that under the same conditions, when the dynamic programming method is used to cover the chute points, the number of compensation points obtained by using the machine tool probe is 12.9% less than that by using the group programming method, and the overlap rate is reduced by 4.47%. Therefore, the present method can effectively improve the measurement efficiency and accuracy of the machine tool to the bottom frame chute of the urban rail vehicle.
- dynamic programming /
- group programming /
- machine tool probe /
- coverage measurement

HTML全文

图 1 底架特征及坐标轴方向

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图 2 滑槽横截面特征

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图 3 二分法获取滑槽点示意图

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图 4 滑槽段分组流程图

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图 5 基于动态规划法的底架滑槽点全覆盖

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图 6 分组规划法覆盖滑槽点分布图

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图 7 动态规划法覆盖滑槽点分布图

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表 1 滑槽点获取的伪代码

输入：滑槽段L_i的长度l_i，覆盖检测半径R，滑槽段上测量点p_t，测量点坐标( x_i, y_i )，点集P 为空集，L_i= 1，滑槽段起始坐标( x_s, y_s)，终点坐标( x_e, y_e)。
输出：滑槽点点集P = { p_i\|i = 1, 2, ··· , n} 。
if $l_i$<$2 \cdot R$
add the $p_t$ into $P$
else while $l_i \geqslant 2 \cdot R$
do $l_i = l_i/2$
$L_i = 2 \cdot L_i$
end
for $j \leftarrow 0 \; {\rm{to}} \; L_i$
$x_i = x_s + (x_e - x_s) \cdot j/L_i$
$y_i = y_s + (y_e - y_s) \cdot j/L_i$
add the $p_t$ into $P$
end
end

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表 2 两种算法运行结果对比

算法	滑槽点数量/个	补偿点数量/个	重叠率/%
分组规划法	713	303	10.27
动态规划法	713	264	5.80

下载: 导出CSV

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