Optimization of Single Point Incremental Forming Process Using Ball Nose Tool
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In the present work, an attempt is made to study effect of tool geometry on incremental forming performance of annealed aluminum 5052. Here, type of the tool, feed rate and step down are considered as process input parameters and their effects on forming height and surface roughness are studied. Total numbers of 18 experiments have been carried out according to full factorial experimental design. In order to find optimal parameter setting, adaptive network based fuzzy inference system has been associated with simulated annealing algorithm. Here, the optimal results were selected to maximize the forming height and minimize the surface roughness. The obtained results revealed that using the ball nose tool significantly enhances the formability and surface quality due to conversion of sliding friction to rolling type. In addition, it is found that selection of ball nose tool as well as feed rate of 200 mm/min and step down of 0.4 mm causes achievement of desired quality characteristics.
KeywordsSingle point incremental forming Ball nose tool Formability Surface roughness Optimization Artificial intelligence
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