scholarly journals A new type of online measurement system for resistance welding

2006 ◽  
pp. 69-78
Author(s):  
J. Bolle ◽  
J. Bliedtner ◽  
W. Buerger ◽  
W. Faber
Keyword(s):  
Measurement System ◽  
Resistance Welding ◽  
Online Measurement ◽  
New Type

Research on Online Measurement Method of Hole Diameter and Position

2013 ◽  
Vol 347-350 ◽  
pp. 197-200
Author(s):  
Yu Gong ◽  
Jing Cai Zhang ◽  
Hong Qi Liu
Keyword(s):  
Comparative Analysis ◽  
Measurement System ◽  
Measurement Method ◽  
Measurement Methods ◽  
Hole Diameter ◽  
Laser Sensor ◽  
Online Measurement ◽  
Online Detection ◽  
Ccd Imaging ◽  
Inductive Sensor

In this paper, research on measurement methods of hole during the parts online detection has been made. Both diameter and position of the hole are going to be detected in the same measurement system. In order to obtain higher accuracy and efficiency, a comparative analysis test of using the contact probes, the inductive sensor, the laser sensor, the forward and back lighting CCD imaging have been achieved. Results show that the contact measurement using inductive sensor is more suitable for the system, for the reason that it has higher reliability and efficiency.

scholarly journals Research on Temperature Compensation Method in Crankshaft Online Measurement System

2021 ◽  
Vol 11 (16) ◽  
pp. 7558
Author(s):  
Tingting Gu ◽  
Xiaoming Qian ◽  
Peihuang Lou
Keyword(s):  
Ambient Temperature ◽  
Measurement System ◽  
Temperature Compensation ◽  
Compensation Method ◽  
Displacement Sensor ◽  
Online Measurement ◽  
High Precision Measurement ◽  
Temperature Changes ◽  
Dragonfly Algorithm ◽  
Measuring Machine

The crankshaft online measurement system has realized the full inspection function with fast beats, at the same time it requires for high-precision measurement. Considering the effect of ambient temperature and temperature changes on measuring machine, the calibration part, the measured crankshaft and displacement sensor, a temperature compensation method is proposed. Firstly, relationship between calibration part and ambient temperature can be get through the zero calibration. Then use the material properties to obtain compensation values of the calibration part and the measured crankshaft part at different temperatures. Finally, the compensation parameters for displacement sensor can be obtained through the BP algorithm. The improved dragonfly algorithm (DA) is used to optimize the parameters of BP neural network algorithm. Experiments verify the effectiveness of IDA-BP for LVDT in temperature compensation. After temperature compensation, the error range of main journal radius is reduced from 0.0156 mm to 0.0028 mm, the residual error decreased from −0.0282 mm~+0.0018 mm to −0.0058 mm~−0.0008 mm. The influence of temperature changes on the measurement is reduced and measurement accuracy is improved through the temperature compensation method. The effectiveness of the method is proved.

Collinear Constraint Based Mobile Vision Coordinate Measurement System

2008 ◽  
Vol 381-382 ◽  
pp. 87-90
Author(s):  
Zhi Jing Yu ◽  
X. Li ◽  
X. Si ◽  
J. Zhu ◽  
D. He ◽  
...  
Keyword(s):  
High Resolution ◽  
Measurement System ◽  
Measurement Accuracy ◽  
Ccd Camera ◽  
Bundle Adjustment ◽  
Online Measurement ◽  
Feature Points ◽  
Coordinate Measurement ◽  
Fully Automatic ◽  
Mobile Vision

A fully automatic and rather flexible mobile vision 3D coordinate online measurement system is presented and analyzed. The system is composed of a high resolution CCD camera, retro-reflective feature points, and an external orientation device. The feature points, which fixed on the measured object and external orientation device, are imaged by camera in several locations and orientations. The initial external locations and orientations of the camera relative to the fixed external orientation device are determined by pose estimate algorithm, and the feature points coordinates, i.e. measured points coordinates on the object, are calculated by bundle adjustment algorithm based on collinear constraint. To improve the measurement accuracy, the locations of the imaging feature points are determined by bilinear centroid sub-pixel algorithm. The effectiveness of the proposed system has been tested by experiments.

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