Multi-source heterogeneous information acquiring test experiment and platform construction for CNC machine tool

DENG Xiaolei; CHEN Yushen; GUO Shupeng; ZHENG Jiacong; SHENG Xiaobo

doi:10.37188/OPE.20223012.1440

您当前的位置：

首页 >

文章列表页 >

Multi-source heterogeneous information acquiring test experiment and platform construction for CNC machine tool

Micro\/Nano Technology and Fine Mechanics | 更新时间：2026-09-11

- Multi-source heterogeneous information acquiring test experiment and platform construction for CNC machine tool
- Optics and Precision Engineering Vol. 30, Issue 12, Pages: 1440-1451(2022)
- 作者机构：
  
  1.衢州学院浙江省空气动力装备技术重点实验室，浙江衢州 324000
  2.浙江工业大学机械工程学院，浙江杭州 310032
- 作者简介：
- 基金信息：
- DOI：10.37188/OPE.20223012.1440
  CLC： TG659
- Received：16 March 2022，
  
  Revised：2022-04-12，
  
  Published：25 June 2022
- 稿件说明：
移动端阅览
邓小雷,陈昱珅,郭术鹏等.数控机床多源异类信息采集测试试验及平台搭建[J].光学精密工程,2022,30(12):1440-1451.

DENG Xiaolei,CHEN Yushen,GUO Shupeng,et al.Multi-source heterogeneous information acquiring test experiment and platform construction for CNC machine tool[J].Optics and Precision Engineering,2022,30(12):1440-1451.
邓小雷,陈昱珅,郭术鹏等.数控机床多源异类信息采集测试试验及平台搭建[J].光学精密工程,2022,30(12):1440-1451. DOI： 10.37188/OPE.20223012.1440.

DENG Xiaolei,CHEN Yushen,GUO Shupeng,et al.Multi-source heterogeneous information acquiring test experiment and platform construction for CNC machine tool[J].Optics and Precision Engineering,2022,30(12):1440-1451. DOI： 10.37188/OPE.20223012.1440.

摘要

针对现有的数控机床工作过程主轴系统多种信息与多类信号采集的实际需求，设计研发了由多类型传感器组成的多源异类信息采集试验平台。该平台由热态特性信息采集系统与机床动态信息采集系统组成，其中热态特性信息采集系统可监测数控机床各点的位移与温度数据；动态信息采集系统可监测机床各点的振动，应力和应变。本文首先在主轴系统仿真分析的基础上，完成试验平台构建，并在2 000 r/min、3 000 r/min和4 000 r/min转速下进行多源异类信息采集试验，试验与仿真结果相对误差在10%以内，同时又将采集到的数据进行预处理和信息融合后用于多源信息的热误差建模，在对应转速下热平衡后的热变形均方根误差均小于0.9 μm，同时决定系数在0.9以上，表明所搭建的多源异类信息采集试验平台在多转速下均有较优的准确性。本文的试验平台和数据采集融合方法为机床的热误差补偿和热设计提供了重要的技术手段和理论基础。

Abstract

Considering the actual demand for multi-information and multi-signal acquisition for CNC machine tool working process spindle systems， a multi-source heterogeneous information acquisition test platform comprising multi-type sensors was designed and developed. The platform consists of a hot state characteristic information acquisition system and dynamic information acquisition system for machine tools. The hot state characteristic information acquisition system monitors the displacement and temperature data of each point of the CNC machine tool while the dynamic information acquisition system monitors the vibration， stress， and strain at each point of the machine tool. Based on the simulation analysis of the spindle system， the test platform was first constructed in this study， and subsequently， multi-source heterogeneous information acquisition tests at speeds of 2000， 3000， and 4000 r/min were conducted. The relative error between the test and simulation results was within 10%. Simultaneously， the collected data were preprocessed and fused to model the thermal error of the multi-source information. The root mean square error of the thermal deformation after thermal equilibrium was less than 0.9 μm at the corresponding rotational speed and the determination coefficient was above 0.9. This indicated that the multi-source heterogeneous information acquisition test platform built possessed better accuracy at multi-rotational speeds. The experimental platform and data acquisition fusion method described in this study provide an important technical means and theoretical basis for the thermal error compensation and thermal design of machine tools.

关键词

Keywords

references

蔡德程，陈缤，关欣，等 . 机床热特性优化研究综述［J］. 上海理工大学学报， 2021 ， 43 （ 5 ）： 443 - 451 .

CAI D C ， CHEN B ， GUAN X ， et al . Review on optimization of thermal characteristics of machine tools ［J］. Journal of University of Shanghai for Science and Technology ， 2021 ， 43 （ 5 ）： 443 - 451 . （in Chinese）

YANG J ， SHI H ， FENG B ， et al . Thermal error modeling and compensation for a high-speed motorized spindle ［J］. The International Journal of Advanced Manufacturing Technology ， 2015 ， 77 （ 5/6/7/8 ）： 1005 - 1017 . doi: 10.1007/s00170-014-6535-7 http://dx.doi.org/10.1007/s00170-014-6535-7

邓小雷，林欢，王建臣，等 . 机床主轴热设计研究综述［J］. 光学精密工程， 2018 ， 26 （ 6 ）： 1415 - 1429 . doi: 10.3788/ope.20182606.1415 http://dx.doi.org/10.3788/ope.20182606.1415

DENG X L ， LIN H ， WANG J C ， et al . Review on thermal design of machine tool spindles ［J］. Opt. Precision Eng. ， 2018 ， 26 （ 6 ）： 1415 - 1429 . （in Chinese） . doi: 10.3788/ope.20182606.1415 http://dx.doi.org/10.3788/ope.20182606.1415

林伟青，傅建中 . 拟实环境下高速电主轴建模与热态特性研究［J］. 仪器仪表学报， 2006 ， 27 （ S1 ）： 988 - 990 . doi: 10.3321/j.issn:0254-3087.2006.z1.384 http://dx.doi.org/10.3321/j.issn:0254-3087.2006.z1.384

LIN W Q ， FU J Z . Thermal characterizations and model of high speed motorized spindle in virtual-reality ［J］. Chinese Journal of Scientific Instrument ， 2006 ， 27 （ S1 ）： 988 - 990 . （in Chinese） . doi: 10.3321/j.issn:0254-3087.2006.z1.384 http://dx.doi.org/10.3321/j.issn:0254-3087.2006.z1.384

YANG J ， MEI X S ， FENG B ， et al . Experiments and simulation of thermal behaviors of the dual-drive servo feed system ［J］. Chinese Journal of Mechanical Engineering ， 2015 ， 28 （ 1 ）： 76 - 87 . doi: 10.3901/cjme.2014.1031.162 http://dx.doi.org/10.3901/cjme.2014.1031.162

尹相铭 . 高速电主轴热态特性分析及热误差建模研究［D］. 哈尔滨：哈尔滨理工大学， 2021 .

YIN X M . Thermal Characteristics Analysis and Thermal Error Modeling of High Speed Motorized Spindle ［D］. Harbin ： Harbin University of Science and Technology ， 2021 . （in Chinese）

CHANG C F ， CHEN J J . Thermal growth control techniques for motorized spindles ［J］. Mechatronics ， 2009 ， 19 （ 8 ）： 1313 - 1320 . doi: 10.1016/j.mechatronics.2009.06.012 http://dx.doi.org/10.1016/j.mechatronics.2009.06.012

VYROUBAL J . Compensation of machine tool thermal deformation in spindle axis direction based on decomposition method ［J］. Precision Engineering ， 2012 ， 36 （ 1 ）： 121 - 127 . doi: 10.1016/j.precisioneng.2011.07.013 http://dx.doi.org/10.1016/j.precisioneng.2011.07.013

CHIU Y C ， WANG P H ， HU Y C . The thermal error estimation of the machine tool spindle based on machine learning ［J］. Machines ， 2021 ， 9 （ 9 ）： 184 . doi: 10.3390/machines9090184 http://dx.doi.org/10.3390/machines9090184

李波，熊迪，温鹏 . 面向数控机床的多源信息采集系统研究［J］. 制造技术与机床， 2019 （ 3 ）： 26 - 30 . doi: 10.19287/j.cnki.1005-2402.2019.03.005 http://dx.doi.org/10.19287/j.cnki.1005-2402.2019.03.005

LI B ， XIONG D ， WEN P . Research on multi-source information acquisition system for CNC machine tool ［J］. Manufacturing Technology & Machine Tool ， 2019 （ 3 ）： 26 - 30 . （in Chinese） . doi: 10.19287/j.cnki.1005-2402.2019.03.005 http://dx.doi.org/10.19287/j.cnki.1005-2402.2019.03.005

CHENG L H ， LU J T ， LI S M ， et al . Fusion method and application of several source vibration fault signal spatio-temporal multi-correlation ［J］. Applied Sciences ， 2021 ， 11 （ 10 ）： 4318 . doi: 10.3390/app11104318 http://dx.doi.org/10.3390/app11104318

王艺玮，邓蕾，郑联语，等 . 基于多通道融合及贝叶斯理论的刀具剩余寿命预测方法［J］. 机械工程学报， 2021 ， 57 （ 13 ）： 214 - 224 . doi: 10.3901/jme.2021.13.214 http://dx.doi.org/10.3901/jme.2021.13.214

WANG Y W ， DENG L ， ZHENG L Y ， et al . A multi-channel signal fusion and Bayesian theory based method for tool remaining useful life prediction ［J］. Journal of Mechanical Engineering ， 2021 ， 57 （ 13 ）： 214 - 224 . （in Chinese） . doi: 10.3901/jme.2021.13.214 http://dx.doi.org/10.3901/jme.2021.13.214

YIN Y F ， GUAN L F ， ZHENG C G . An approach to dynamic sensing data fusion ［J］. Sensors ， 2019 ， 19 （ 17 ）： 3668 . doi: 10.3390/s19173668 http://dx.doi.org/10.3390/s19173668

刘世豪，张云顺，陈致水，等 . 热-力耦合效应对风电专用机床主轴振动的影响［J］. 中国矿业大学学报， 2015 ， 44 （ 5 ）： 893 - 900 . doi: 10.13247/j.cnki.jcumt.000313 http://dx.doi.org/10.13247/j.cnki.jcumt.000313

LIU SH H ， ZHANG Y SH ， CHEN ZH S ， et al . Influence of thermal-mechanical coupling effect on spindle vibration of wind power production machine tool ［J］. Journal of China University of Mining & Technology ， 2015 ， 44 （ 5 ）： 893 - 900 . （in Chinese） . doi: 10.13247/j.cnki.jcumt.000313 http://dx.doi.org/10.13247/j.cnki.jcumt.000313

邓小雷，戴温克，周翎飞，等 . 数控机床主轴-立柱系统热态特性分析与测试［J］. 光学精密工程， 2020 ， 28 （ 3 ）： 601 - 609 . doi: 10.3788/ope.20202803.0601 http://dx.doi.org/10.3788/ope.20202803.0601

DENG X L ， DAI W K ， ZHOU L F ， et al . Thermal characteristics analysis and test of spindle-column system for CNC machine tool ［J］. Opt. Precision Eng. ， 2020 ， 28 （ 3 ）： 601 - 609 . （in Chinese） . doi: 10.3788/ope.20202803.0601 http://dx.doi.org/10.3788/ope.20202803.0601

阳红，方辉，刘立新，等 . 基于热误差神经网络预测模型的机床重点热刚度辨识方法研究［J］. 机械工程学报， 2011 ， 47 （ 11 ）： 117 - 124 . doi: 10.3901/JME.2011.11.117 http://dx.doi.org/10.3901/JME.2011.11.117

YANG H ， FANG H ， LIU L X ， et al . Method of key thermal stiffness identification on a machine tool based on the thermal errors neural network prediction model ［J］. Journal of Mechanical Engineering ， 2011 ， 47 （ 11 ）： 117 - 124 . （in Chinese） . doi: 10.3901/JME.2011.11.117 http://dx.doi.org/10.3901/JME.2011.11.117

WEN H ， YAN T ， LIU Z Q ， et al . Integrated neural network model with pre-RBF kernels ［J］. Science Progress ， 2021 ， 104 （ 3 ）： 368504211026111 . doi: 10.1177/00368504211026111 http://dx.doi.org/10.1177/00368504211026111

TAN F ， YIN M ， WANG L ， et al . Spindle thermal error robust modeling using LASSO and LS-SVM ［J］. The International Journal of Advanced Manufacturing Technology ， 2018 ， 94 （ 5/6/7/8 ）： 2861 - 2874 . doi: 10.1007/s00170-017-1096-1 http://dx.doi.org/10.1007/s00170-017-1096-1

Views

1740

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Thermal characteristics analysis and test of spindle-column system for CNC machine tool

Selection of robust temperature-sensitive points for CNC machine tools

Review on thermal design of machine tool spindles

Simultaneous stress-strain measurement using digital speckle pattern interferometry

Heat transfer and material removal rule in pulse laser ablation of polycrystalline cubic boron nitride

Related Author

Xiao-lei DENG

Wen-ke DAI

Ling-fei ZHOU

Yi-bo ZHOU

Jian-zhong FU

LIU Yun-sheng

MIAO En-ming

ZHANG Ming-de

Related Institution

School of Instrument Science and Opto-electronic Engineering， Hefei University of Technology

School of Mechanical Engineering， Chongqing University of Technology

School of Mechanical Engineering， Yangtze University

Harbin Institute of Technology

Key Laboratory of 3D Printing Process and Equipment of Zhejiang Province, Zhejiang University

AI问答

Address：No.3888 Dong Nanhu Road, Changchun, Jilin, China Postal code：130033
Tel：0431-86176855 Email：gxjmgc@ciomp.ac.cn
Technical support is provided by Beijing Founder electronics co., LTD 吉ICP备11002662号-17 京公网安备11010802024621
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰