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A thermal error prediction method for ball screw feed system of CNC machine tool

A technology of ball screw and feed system, which is applied in the direction of metal processing machinery parts, metal processing equipment, maintenance and safety accessories, etc.

Inactive Publication Date: 2019-04-26
NORTHEASTERN UNIV LIAONING
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Problems solved by technology

[0003] In recent years, researchers at home and abroad have established several effective methods for ball screw thermal error models, but they all have their limitations.

Method used

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  • A thermal error prediction method for ball screw feed system of CNC machine tool
  • A thermal error prediction method for ball screw feed system of CNC machine tool
  • A thermal error prediction method for ball screw feed system of CNC machine tool

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Embodiment Construction

[0067] The technical solution will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0068] A thermal error prediction method for a ball screw feed system of a CNC machine tool, comprising the following steps:

[0069] Step 1, ball screw feed system temperature measurement

[0070] Determine the surface temperature detection point of the feeding system, such as figure 1 shown. Among them, T1 and T8 are the surface points of the two screw support bearings, T9 is the surface point of the nut flange; the rest are evenly distributed on the surface of the guide rail on the side of the screw shaft, such as T2-T7 and T10-T15. Fix three T-type patch thermocouples at points T1, T8 and T9 with a magnetic base, and a laptop computer performs continuous sampling with a sampling period of 20s. Use a high-precision infrared measuring instrument to perform timing detection on measurement points T2-T7 and T10-T15.

[0071] Step 2, estab...

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Abstract

The invention belongs to the technical field of thermal error prediction methods and proposes a thermal error prediction method for a CNC machine tool ball screw feed system. Predicting thermal errors of a ball screw feed system using an adaptive real-time model (ARTM). This method first establishes an experiment to measure the change of surface temperature of the workbench over time, and then establishes an adaptive real-time model to predict the instantaneous temperature distribution and thermal error distribution of the ball screw. Finite element combined with Monte Carlo method (MC) was used to determine the heat generation rate of the two bearings, moving nut and slide rail of the ball screw feed system. Then based on the finite element calculation data, an exponential equation of feed speed and time is established to describe the change of the temperature difference between the measurement surface point and the motion center with time. Finally, a numerical prediction algorithm is established to predict the ball screw. Thermal errors in feed systems. By monitoring the surface temperatures of the two bearing seats and the moving nut sides, a numerical prediction algorithm is used to quickly and accurately predict the corresponding thermal errors.

Description

technical field [0001] The invention belongs to the technical field of thermal error prediction methods, and relates to a thermal error modeling method for a ball screw feed system of a numerical control machine tool. Background technique [0002] The ball screw is a key component of the feed system of CNC machine tools. During operation, the frictional heat generated by bearings, screw nuts and other components causes the temperature of the screw to rise, and the change in temperature causes the deformation of the mechanical structure, thereby generating thermal errors and reducing the feed. system positioning accuracy. Due to the existence of thermal errors, the processing accuracy of a single piece is easily unqualified; the consistency of batch processed products is poor. Therefore, the problem of machine tool thermal error has been the focus of recent research at home and abroad, and has become an important research direction to improve the positioning accuracy of CNC ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): B23Q11/00
CPCB23Q11/0003
Inventor 赵春雨李朕均李铁军张义民闻邦椿
Owner NORTHEASTERN UNIV LIAONING
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