Analysis and Optimization of Process Parameters of Resistance Spot Welding Process Using Response Surface Method-A Review
نویسندگان
چکیده
منابع مشابه
A Review on different optimization techniques used to optimize the process parameters of Resistance spot welding
Resistance spot welding process is one of the very useful and widely utilized joining processes in automobile industry due to its high working speed, high productivity, flexibility and economical cost operation. In this paper various optimization techniques like Taguchi method, Artificial neural network (ANN), Genetic algorithm (GA) etc. and their applications are discussed to get the optimum w...
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Nowadays, the use of advanced high strength steels (AHSSs) in body-in-white is one of the hot applied strategies which is followed by the most of the automakers. The study of weldability and weld challenges facing these steels in resistance spot welding process as the most widely used process in the assembly lines of the automotive industry is essential to use the outstanding mechanical respons...
متن کاملWelding challenges facing advanced automotive steels in resistance spot welding process: A review
Nowadays, the use of advanced high strength steels (AHSSs) in body-in-white is one of the hot applied strategies which is followed by the most of the automakers. The study of weldability and weld challenges facing these steels in resistance spot welding process as the most widely used process in the assembly lines of the automotive industry is essential to use the outstanding mechanical respons...
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The purpose of this study is to propose a method to decide nearoptimal settings of the welding process parameters using a genetic algorithm. This method tries to find the near-optimal settings of the welding process parameters through experiments without a model between input and output variables. It has the advantage of being able to carry out searches without modifying the design space, which...
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ژورنال
عنوان ژورنال: International Journal for Research in Applied Science and Engineering Technology
سال: 2018
ISSN: 2321-9653
DOI: 10.22214/ijraset.2018.3342