A Reinforcement Learning Based Approach for Welding Sequence Optimization

Author(s):  
Jesus Romero-Hdz ◽  
Baidya Saha ◽  
Gengis Toledo-Ramirez ◽  
Ismael Lopez-Juarez
2020 ◽  
Vol 142 (10) ◽  
Author(s):  
Roham Sadeghi Tabar ◽  
Kristina Wärmefjord ◽  
Rikard Söderberg ◽  
Lars Lindkvist

Abstract A digital twin for geometry assurance contains a set of analyses that are performed to steer the real production for securing the geometry of the final assembly. In sheet metal assemblies, spot welding is performed to join the parts together. The sequence of the welding has a considerable influence on the geometrical outcome of the final assembly. In industry, the sequence of welding to secure the geometry is mainly derived by tacit manufacturing knowledge. Including such knowledge to mimic the production process requires extensive knowledge management, and the result might be just a good enough solution. Theoretically, spot welding sequence optimization for the optimal geometrical quality is among NP-hard combinatorial problems. In a geometry assurance digital twin, where assembly parameters are selected for the individual assemblies, time constraints define the quality of the optimal sequence. In this paper, an efficient method for spot welding sequence optimization with regards to the geometrical quality is introduced. The results indicate that the proposed method reduces 60–80% of the time for the sequencing of the spot welding process to achieve the optimal geometrical quality.


2008 ◽  
Vol 24 (03) ◽  
pp. 135-138
Author(s):  
Yasuhisa Okumoto

A ship hull block is generally composed of skin plates, longitudinals, and transverse webs as a grillage structure, and longitudinals and transverse webs are joined by a fillet weld on a skin plate panel. Then much labor time is necessary for this welding work because many welding lines exist. Now, a simple automatic welding machine using a truck system is applied widely as well as semiautomatic CO2 weld or gravity weld. Since the automatic welding machine needs the help of workers for initial setting, turning, and shifting, the efficient routing has to be investigated for the improvement of productivity. However, it is difficult to find an optimal weld sequence when weld lines increase and then the combination number of welding sequence increases. Such research is called combinatorial problem. This paper examines how to decrease the work time using the reinforcement learning method, which imitated the behavior pattern of animals.


2016 ◽  
Vol 121 (1) ◽  
pp. 17-36 ◽  
Author(s):  
Jesus Romero-Hdz ◽  
Sinai Aranda ◽  
Gengis Toledo-Ramirez ◽  
Jose Segura ◽  
Baidya Saha

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