Smart AI makes all kinds of shapes on its own

A research team consisting of Professor Junsuk Rho and doctoral student Chihun Lee of POSTECH's departments of mechanical and chemical engineering and Professor Seungchul Lee, Juwon Na in the MS-PhD integrated program with Professor Seongjin Park in the Department of Mechanical Engineering have together developed a system that recommends process conditions for injection molding by combining artificial neural network (Artificial Neural Network) and a random search. Various shapes can be obtained in real time through using this new system. These research findings were recently published in the journal Advanced Intelligent Systems. The team trained the relationship between process conditions and final products using artificial intelligence to find the conditions that satisfy the target quality. As a result, the team confirmed that each datum had 15 shapes and five processes as input value and the final weight of the product as the output value. Based on the weight prediction model trained through transfer learning, a recommender system was developed to find the optimal process conditions by random search.