An Industrially Validated Method for Weld Load Balancing in Multi Station Sheet Metal Assembly Lines

Author:

Segeborn Johan1,Segerdahl Daniel2,Ekstedt Fredrik2,Carlson Johan S.3,Andersson Mikael2,Carlsson Anders4,Söderberg Rikard5

Affiliation:

1. Volvo Car Corporation, Dept. 81620/PVÖS32, Gothenburg SE-405-31, Sweden e-mail:

2. e-mail:

3. e-mail:  Fraunhofer-Chalmers Research Centre, Chalmers Science Park, Gothenburg SE-412-88, Sweden

4. e-mail:  Volvo Car Corporation, Dept. 81620/PVÖS32, Gothenburg SE-405-31, Sweden

5. Chalmers University of Technology, Department of Product and Production Development, Gothenburg SE-412-96, Sweden e-mail:

Abstract

Sheet metal assembly is investment intense. Therefore, the equipment needs to be efficiently utilized. The balancing of welds has a significant influence on achievable production rate and equipment utilization. Robot line balancing is a complex problem, where each weld is to be assigned to a specific station and robot, such that line cycle time is minimized. Industrial robot line balancing has been manually conducted in computer aided engineering (CAE)-tools based on experience and trial and error rather than mathematical methods. However, recently an automatic method for robot line balancing was proposed by the authors. To reduce robot coordination cycle time losses, this method requires identical reach ability of all line stations. This limits applicability considerably since in most industrial lines, reach ability differs over the stations to further line reach ability and flexibility. Therefore, in this work we propose a novel generalized simulation-based method for automatic robot line balancing that allows any robot positioning. It reduces the need for robot coordination significantly by spatially separating the robot weld work loads. The proposed method is furthermore successfully demonstrated on automotive stud welding lines, with line cycle times lower than that of the corresponding running production programs. Moreover, algorithm central processing unit (CPU)-times are mere fractions of the lead times of existing CAE-tools.

Publisher

ASME International

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Mechanical Engineering,Control and Systems Engineering

Reference16 articles.

1. Segeborn, J., 2009, “Towards an Effective Virtual Sheet Metal Assembly Development Process Securing Geometrical Quality and Equipment Utilization,” Licentiate thesis, ISSN 1652-9243, Chalmers University of Technology, Department of Product and Production Development, Göteborg, Sweden.

2. Segeborn, J., Carlsson, A., Carlson, J. S., and Söderberg, R., 2009, “A Chronological Framework for Virtual Sheet Metal Assembly Design,” Proceedings of 11th CIRP International Conference on Computer Aided Tolerancing, Annecy, France.

3. LaValle, S. M., and Kuffner, J. J., 1999, “Randomized Kinodynamic Planning,” Proceedings of IEEE International Conference on Robotics and Automation, Detroit, MI, pp. 473–479.

4. Bohlin, R., and Kavraki, L. E., 2000, “Path Planning Using Lazy PRM,” Proceedings of IEEE International Conference on Robotics & Automation, San Francisco, CA, pp. 521–528.

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