• Journal of Welding and Joining
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• v.11 no.2
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• pp.13-20
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• 1993

The object of the research is to develop the flux for aluminum brazing. Five kinds of flux were applied to brazing joint with fin and tube structure using same filler metal. To estimate the performance of the developed flux, products analysis, differential thermal test, grain size test, observation of crystalline structure, tensile test, corrosion test were made. From the results of experiment, the following conculsions were obtained. 1. The optimum composition ratio (Wt) of AlF$_3$ and KF was 50-60% : 40-50% 2. The optimum melting point of the flux was 567-578$^{\circ}C$.

• Journal of Welding and Joining
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• v.7 no.3
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• pp.36-43
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• 1989

The furnace brazing in a Ar of copper to martensitic stainless steel(13.5Cr) using Cu-(5~8%)P-(0~8%)Sn powders was investigated. Shear strength, wettability, reacted layer, defect ratio at the stainless steel interface was evaluated. As Sn was added to the Cu-P powders, defect ratio and P content at the stainless steel interface decreased. And also as Sn was added, defect form at the stainless steel interface changed from the continuous layer to the discrete type, and shear strength of the brazed joint increased.

• Journal of the Korean Society for Precision Engineering
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• v.19 no.10
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• pp.66-76
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• 2002

Automated welding and soldering are an important manufacturing issue in order to lower the cost, increase the quality, and avoid labor problems. An off-line programming, OLP, is one of the powerful methods to solve this kind of diversity problem. Unless an OLP system is ready for the path optimization in welding and soldering, the waste of time and cost is unavoidable due to inefficient paths in welding and soldering processes. Therefore, this study attempts to obtain path optimization using a genetic algorithm based on artificial intelligences. The problem of welding path optimization is defined as a conventional TSP (traveling salesman problem), but still paths have to go through welding lines. An improved genetic algorithm was suggested and the problem was formulated as a TSP problem considering the both end points of each welding line read from database files, and then the transit problem of welding line was solved using the improved suggested genetic algorithm.