scholarly journals Experiment-based thermal behavior research about the feed drive system with linear scale

2018 ◽  
Vol 10 (11) ◽  
pp. 168781401881235
Author(s):  
Yang Li ◽  
Jun Zhang ◽  
Dongxu Su ◽  
Changxing Zhou ◽  
Wanhua Zhao

Positioning error of the feed drive system has great influence of the machining quality. In order to guarantee the positioning accuracy, the linear grating scale is adopted to form a full-closed loop. However, due to the inner heat sources and environmental temperature variations, the linear grating scale could expand and the thermally induced positional deviation is generated. In this article, temperatures and positional deviations of the ball screw feed drive system and the linear motor feed drive system equipped with linear scales were tested. The factors that affect the positioning error were analyzed. Then, the temperatures and positioning coordinates were used as inputs to build the thermally induced positional deviation model of full closed-loop feed drive system. Based on the model, coordinate values of the machine tool were adjusted and the compensation was implemented. The testing results verified that after compensation, the positional deviations were greatly reduced.

Author(s):  
Jun Zhang ◽  
Bo Li ◽  
Changxing Zhou ◽  
Wanhua Zhao

For semi-closed-loop computer numerical control machine tool, the pitch error of screw caused by thermal expansion can deteriorate the positioning accuracy of ball screw feed drive system. This study presents different prediction models for positioning error of ball screw feed drive system based on the mounting condition, where the total error is separated into geometric error and thermal error. The coefficients in the model are identified using the multiple linear regression method. The prediction model is validated and the error compensation is also done for the X axis of a three-axis computer numerical control milling machine. The test results show that the model developed can well predict the thermal error under any given temperature as well as position during the temperature rising process of ball screw, and it can greatly improve the system positioning accuracy through compensation.


2015 ◽  
Vol 799-800 ◽  
pp. 576-580 ◽  
Author(s):  
Yi Guang Shi ◽  
Hui Xiao ◽  
Jun Ao Zhang ◽  
Da Wei Zhang

This paper presents relationships between some vital parameters and the natural frequency of the ball screw feed drive system. A finite element model (FEM) of a machine tool feed drive system is established with joint parameters added in based on the SAMCEF software. Using the finite element model, the influences of the material properties of the worktable, the diameter of the ball screw and joint parameters on the natural frequency of axial vibration are derived. These results provide a reliable basis for the optimization design of the ball screw feed drive system.


Author(s):  
Jianmin Zhu ◽  
Tongchao Zhang ◽  
Jian Wang ◽  
Xiaoru Li

The dynamic characteristic parameters of mechanical joints are difficult to determine in theoretical modeling, dynamic simulation, and servo controller design for the ball screw feed drive system. Therefore, this study proposes a novel method for identifying the axial stiffness and damping parameters of the rolling joints in an assembled ball screw feed drive system. First, the proposed method deduces the axial vibration equations of the feed drive system with a harmonic excitation force exerted on its worktable. Second, the identification model of the axial stiffness and damping parameters of the rolling joints is established on the basis of the equations. Third, the identification equations are built by measuring the distance between the screw supporting points, the frequency, and the amplitude of the harmonic excitation force, as well as the amplitude of the axial vibration velocity of the screw end section. The axial stiffness and damping parameters of the rolling joints are finally determined by solving the identification equations using the genetic algorithm. With a ball screw feed drive system as the research object, the proposed method is used to identify the rolling joints’ axial stiffness and damping parameters of the ball screw assembly, as well as the left and the right bearing groups. The experiments show that the proposed method is correct, effective, and achieves high identification accuracy.


2020 ◽  
Vol 34 (7) ◽  
pp. 2985-2995
Author(s):  
Gaiyun He ◽  
Panpan Shi ◽  
Dawei Zhang ◽  
Guangming Sun

Author(s):  
Young H. Choi ◽  
Jin H. Hong ◽  
Sung H. Jang

In order to prevent machine tool feed slide system from transient vibrations during operation, machine tool designers usually adopt some typical design solutions; box-in-box typed feed slides, optimizing moving body for minimum weight and dynamic compliance, and so on. Despite all efforts for optimizing design, a feed drive system may experience severe transient vibrations during high-speed operation if its feed-rate control is not suitable. A rough feed-rate curve having discontinuity in its acceleration profile causes serious vibrations in the feed slides system. This paper presents a feed-rate optimization of a ball screw driven machine tool feed slide system for its minimum vibrations. A ball screw feed drive system was mathematically modeled as a 6-degree-of-freedom lumped parameter model. Then, a feed-rate optimization of the system was carried out for minimum vibrations. The main idea of the feed-rate optimization is to find out the most appropriate smooth acceleration profile having jerk continuity. A genetic algorithm, G.A., was used in this feed rate optimization.


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