Development of machine vision system and dimensional analysis of the automobile front-chassis-module

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.

[1]  K. S. Arun,et al.  Least-Squares Fitting of Two 3-D Point Sets , 1987, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[2]  Robert B. Fisher,et al.  Estimating 3-D rigid body transformations: a comparison of four major algorithms , 1997, Machine Vision and Applications.

[3]  Jayantha Katupitiya,et al.  A fuzzy–logic controller for an electrically driven steering system for a motorcar , 2002 .

[4]  Mike Blundell,et al.  Comparison of suspension rig measurements with computer simulation , 1998 .

[5]  Jae-Han Lee,et al.  Fluid effects on the core scismic behavior of a liquid metal reactor , 2004 .

[6]  Chia-Hsiang Menq,et al.  A unified least-squares approach to the evaluation of geometric errors using discrete measurement data , 1996 .

[7]  Berthold K. P. Horn,et al.  Closed-form solution of absolute orientation using orthonormal matrices , 1988 .

[8]  S. Umeyama,et al.  Least-Squares Estimation of Transformation Parameters Between Two Point Patterns , 1991, IEEE Trans. Pattern Anal. Mach. Intell..

[9]  Yifan Chen,et al.  Automated CAD-guided automobile part dimensional inspection , 2000, Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065).

[10]  Kwang-Kyu Seo,et al.  Adaptive clustering algorithm for recycling cell formation: An Application of fuzzy ART neural networks , 2004 .

[11]  S. Zetterstrom,et al.  Electromechanical steering, suspension, drive and brake modules , 2002, Proceedings IEEE 56th Vehicular Technology Conference.

[12]  Seung-Han Yang,et al.  Determination and mapping of measurement and design coordinate systems using computational geometric techniques , 2005 .

[13]  M. Kondo,et al.  Automatic measuring system for body fit on the automobile assembly line , 1995, Proceedings of 1995 IEEE International Conference on Robotics and Automation.