共查询到20条相似文献,搜索用时 31 毫秒
1.
Toru Kizaki Shinji Tsujimura Yuya Marukawa Shigeo Morimoto Hisashi Kobayashi 《CIRP Annals》2021,70(1):325-328
A novel temperature measuring system named LATSIS was proposed to realize a robust and accurate prediction of the thermal deformation of machining centers, even under external disturbances such as cutting fluid supply. LATSIS enables a drastic increase in the number of sensors employed for measuring the temperature of the machine tool. Thus, the entire temperature distribution can be obtained by interpolating the measured temperature 3-dimensionally without calculating the heat conduction. A set of experiments was conducted in which the LATSIS was employed to predict the TCP error. A total of 284 sensors were placed on the machining center, and the TCP error was predicted based on the measured temperature for the situation with/without the cutting fluid supply. The results of the prediction showed good agreement with the measured TCP error even during the initial transient temperature change as well as in the cooling phase after the machine halt. The TCP error with the cutting fluid supply is accurately predicted. LATSIS was proven to be a robust and accurate method for predicting the thermal deformation of machine tools, and is a promising technology for future manufacturing systems. 相似文献
2.
Machine tools equipped with linear motors can achieve high feed speed as well as high accuracy. However, the direct feed drive system generates heat through power loss and friction. In combination with environmental influences such as machine shop climate, this can lead to a local deformation of the machine tool structure and induce a direct positioning error. This paper presents a thermal model, using the finite element method, to simulate the thermal behaviour of a high-speed cutting machining centre equipped with linear motors. This model considers the complex boundary conditions such as heat sources, contact and convective heat transfer. Transient changes in temperatures and deformations are allowed in the solution. The comparison of the experiments show that this model can predict the temperature distribution and positioning error under specified operating conditions very well. 相似文献
3.
4.
5.
热误差作为制约数控机床加工精度的关键因素,在重型数控机床上表现得尤为明显。以重型落地镗铣床为例,根据热误差测量试验数据,分析重型数控机床温度场特性,并基于兼顾相关系数和欧式距离的系统聚类准则,对温度测点系统进行优化,以减小温度测点间共线性。通过优化温度测点,采用多元线性回归分析,建立重型数控机床热误差预测模型。由现场试验可知,建立的热误差预测模型可将均方根误差控制在10μm以内,有效地提高了热误差预测精度。 相似文献
6.
基于有限元分析的机床导轨热变形研究 总被引:2,自引:1,他引:2
高速高精度机床切削加工过程中,在多种热源的作用下导轨会产生热变形,影响工件与刀具间的相对位置,造成加工误差。找出导轨热位移较大的点,并分析其对加工精度的影响,对于减小加工误差提高加工精度至关重要。文章在对导轨热边界条件进行分析的基础上,应用有限元分析方法,建立了一类机床导轨的有限元热变形分析模型,并进行了热变形分析计算,为分析导轨的热变形对加工精度的影响提供了依据,并为机床综合热误差补偿提供参考。 相似文献
7.
热误差是精密机床最主要的误差源之一。主轴是机床的关键部件,其热误差直接影响机床的加工精度。文章以某型号精密卧式加工中心主轴为对象,对其温度场和热变形进行了仿真分析。根据仿真结果发现主轴轴向热变形更严重,并结合机床结构确定温度传感器布置位置。在此基础上,对不同转速下主轴部分位置温度和轴向热误差进行现场测试。运用最小二乘法建立热误差补偿模型,直接结合机床FANUC数控系统实施主轴轴向热误差补偿。经实验验证,补偿后主轴轴向热误差减小了85%以上。 相似文献
8.
Shuhe Li Yiqun Zhang Guoxiong Zhang 《International Journal of Machine Tools and Manufacture》1997,37(12):1715-1719
Thermally-induced errors are major contributors to the overall accuracy of machine tools. In this paper, an error pre-compensation system is developed to correct the thermal errors of the spindle and lead screws. A simple gauge 1-D ball array is used to accelerate and simplify the error measurement. An auto-regressive model based on spindle rotation speed is then developed to describe the thermal errors. Using the model, the thermal errors can be predicted without measuring the temperature field of the machine tool as soon as the workpiece NC machining program is made. By correcting the program, the errors can be pre-compensated before machining. Thus the process of compensation is greatly simplified and the cost is reduced. The test results on a vertical machining center show that a 70% reduction of thermal errors has been gained after compensation. 相似文献
9.
机床热变形是影响机床精度的重要因素,占总制造误差的40%~70%,因此机床热变形控制技术成为当前的研究热点.添加相变材料的高孔隙率泡沫金属复合结构不仅能有效地减轻结构的质量,并具有良好的热特性.它利用相变材料的潜热特性,即物质在相变过程中吸收或释放一定的相变潜热而使温度保持不变.对复合结构热态特性进行仿真分析,结果表明:泡沫金属复合结构在受热情况下,在一定的时间范围内可保持在恒温状态不发生变化.这种热态特性对机床构件的制造具有重要意义,有利于减小机床的热变形,提高加工精度. 相似文献
10.
11.
在加工过程中,机床会因热变形而产生误差,这将严重影响加工精度。减少加工过程的热误差是提高加工精度的有效途径,而确定关键温度测点不仅能提高计算效率,还可避免温度数据间复共线性问题,提高热误差模型的预测精度。提出基于改进模糊聚类和最大信息系数(MIC)的温度测点选择方法,通过改进模糊聚类对温度测点进行分类;根据MIC方法选择每类温度数据中的关键温度测点;使用BP神经网络对热误差进行建模。结果表明:与传统温度测点选择方法相比,利用所提方法改进的热误差模型精度更高。 相似文献
12.
13.
龙门加工中心主轴滑枕结构是连接刀具和机床的一个重要部件,其受切削力和受热变形将直接影响刀具的加工精度.通过建立龙门加工中心主轴滑枕结构的有限元分析模型,在计算热源发热量以及主轴滑枕结构热边界条件的基础上,利用ANSYS有限元分析软件在其工作状态下进行切削力变形分析、稳态热变形分析以及热-结构耦合分析.得到了主轴不同转速条件下主轴滑枕结构热态性能及刀盘直径方向变形规律,为该型龙门加工中心主轴滑枕结构优化设计和热变形补偿提供了理论依据. 相似文献
14.
15.
在多种热源的作用下,数控铣床产生热变形,对工件的加工精度产生很大的影响.利用Solid-Works软件对大型旋风铣床铣头系统进行三维建模,运用有限元分析软件ANSYS对热稳定状态下铣头系统的温升及热变形进行分析,得出了铣头系统温度及变形分布情况,并与风冷条件下的温升和热变形进行比较.仿真结果表明,当转速为900r/min时,强风冷使最高温升减小了20.28%,最大热变形减小了12.42%,为数控铣床结构改进和冷却系统的设计提供了理论依据. 相似文献
16.
17.
18.
19.
为了提高热误差模型的预测精度和减少布置在机床内部的温度传感器数量,提出一种基于单个温度传感器数据的主轴轴向热误差辨识模型。该模型的输入由单个温度传感器采集的数据处理生成,内部参数少,利用智能优化算法的全局寻优能力辨识模型参数,减少人工干预,使得模型泛化性更强。以某型号三轴机床为实验对象,通过机床切削工件,验证模型辨识效果。通过与神经网络主轴热误差预测模型对比分析及实验验证,结果表明:提出的热误差模型预测主轴轴向热误差的残差较小,预测精度较高,且具有内部参数少和泛化能力强等优点,可支持数控机床的集成应用。 相似文献