Research on high-precision laser displacement sensor-based error compensation model

2015 ◽  
Author(s):  
Zhifeng Zhang ◽  
Yusheng Zhai ◽  
Zhan Su ◽  
Lin Qiao ◽  
Yiming Tang ◽  
...  
2014 ◽  
Vol 568-570 ◽  
pp. 331-335
Author(s):  
Ping He ◽  
Meng Wang ◽  
Chao Liu ◽  
Ying Li

Steel rolling occupies a very important position in the iron and steel industry. The thickness of the steel plate is a crucial index of the quality, so the automatic detection system for high-precision thickness of the steel industry has a vital significance. The traditional thickness instruments have X-ray thickness gauge and ultrasonic thickness meter while the X-ray thickness gauge has radiation which is harmful to human body and ultrasonic thickness has a lower precision. For these shortcomings, a high precision thickness gauge by laser sensor was designed. Presented the differential measurement method based on laser displacement sensor. Then using TMS320F2812 as main control chip designed the hardware of the system. Finally, software programming was completed based on the hardware design. By experiment research, the results show that the laser thickness gauge has advantages of high precision and high reliability. It has a high practical value.


2013 ◽  
Vol 712-715 ◽  
pp. 1571-1575
Author(s):  
Feng Yang ◽  
Qia Heng Tang ◽  
Yin Biao Guo

In this paper, a thermal error analysis and compensation method for a high precision aspheric measuring platform driven by a linear motor system is presented. After analyzing the heat source of thermal deformation, the thermal deformation of guide is selected to be object, and the thermal analysis method of guide in heat balance state is proposed. According to the motor temperature at different positions, the thermal error curve of guide is obtained through simulation. Modeling the global positioning error of measuring platform and the compensation model of thermal error using polynomial fitting, the thermal error compensation experiments is implemented by applying compensation system of measuring platform's controller. The experimental results show that the maximum positioning error in heat balance state is reduced from 1.5μm to 0.7μm, which verify the validity of thermal error compensation model.


2014 ◽  
Vol 8 (4) ◽  
pp. JAMDSM0048-JAMDSM0048 ◽  
Author(s):  
So ITO ◽  
Daiki MATSUURA ◽  
Takayuki MEGURO ◽  
Shigeaki GOTO ◽  
Yuki SHIMIZU ◽  
...  

2011 ◽  
Vol 5 (5) ◽  
pp. 708-714 ◽  
Author(s):  
Go Abe ◽  
◽  
Masatoshi Aritoshi ◽  
Tomoki Tomita ◽  
Keiichi Shirase ◽  
...  

Demand for precision machining of dies and molds with complex shapes has been increasing. Though high performance CNC machine tools are widely utilized for precision machining, machining error compensation is still necessary to meet accuracy requirements. For precision measurement, a workpiece must usually be unloaded from a CNC machine tool. Then, the workpiece is measured by a precision measurement device, such as 3D CMM. After the machining error is clarified according to the measurements taken, the workpiece must be re-clamped for the necessary error compensation machining. This error compensation machining is costly and time consuming, and it requires a highly skilled machinists. The re-clamping of the workpiece also causes positioning errors. Therefore, demands for on-machinemeasurement have been increasing. In this paper, an on-machine measurement device that consists of a line laser displacement sensor is developed. This measurement device, attached to the spindle head of a machine tool with magnetic clamps, has special features, such as noncontact, multi-point, high-speed measurement capabilities. Additionally, a sequential multi-point method, an extension of the two-point method, is applied for shape measurement accuracy.


2012 ◽  
Vol 220-223 ◽  
pp. 1373-1376
Author(s):  
Shao Wei Liu ◽  
Wu Liu ◽  
Guo Qing Ding ◽  
Xin Chen

This paper studies a high-precision measuring method about minimum thickness of thin neck and bending rigidity of flexible bar based on machine vision. The measurement system combines with the advantages of image vision inspection and laser displacement detection. After rough leveling and precise leveling to the clamped workpiece through the interworking of the camera, laser displacement sensor and servo motor, the image of thin neck and the upper profile of workpiece are captured by camera and laser displacement sensor respectively. Then the workpiece is rotated 180 through servo motor so as to capture the image of thin neck again and detect the bottom profile. Based on the two groups of images and profiles acquired above, we can figure out the minimum thickness of thin neck and bending rigidity of the workpiece with high precision. The effectiveness and feasibility of this method are confirmed by computer simulation with ANSYS software and experimental results with needle gauge and flexible bar.


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