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Development of Machine Vision System and Dimensional Analysis of the Automobile Front-Chassis-Module  

Lee, Dong-Mok (Graduate school of Mechanical Engineering, Kyungpook National University)
Yang, Seung-Han (School of Mechanical Engineering, Kyungpook National University)
Lee, Sang-Ryong (School of Mechanical Engineering, Kyungpook National University)
Lee, Young-Moon (School of Mechanical Engineering, Kyungpook National University)
Publication Information
Journal of Mechanical Science and Technology / v.18, no.12, 2004 , pp. 2209-2215 More about this Journal
Abstract
In the present research work, an automated machine vision system and a new algorithm to interpret the inspection data has been developed. In the past, the control of tolerance of front-chassis-module was done manually. In the present work a machine vision system and required algorithm was developed to carryout dimensional evaluation automatically. The present system is used to verify whether the automobile front-chassis-module is within the tolerance limit or not. The directional ability parameters related with front-chassis-module such as camber, caster, toe and king-pin angle are also determined using the present algorithm. The above mentioned parameters are evaluated by the pose of interlinks in the assembly of an automobile front-chassis-module. The location of ball-joint center is important factor to determine these parameters. A method to determine the location of ball-joint center using geometric features is also suggested in this paper. In the present work a 3-D best fitting method is used for determining the relationship between nominal design coordinate system and the corresponding feature coordinate system.
Keywords
Machine Vision; Front-Chassis-Module; Ball-Joint Center; Dimensional Analysis; Least Squares; Best Fitting;
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Times Cited By KSCI : 2  (Citation Analysis)
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