Multidisciplinary Design Optimization of Industrial Robots

Author: 
Mehdi Tarkian, Johan Persson, Johan Ölvander, Xiaolong Feng (ABB, Linköping University)

The work includes a multidisciplinary design optimization framework for modular industrial robots. The proposed framework utilizes well-established methods such as metamodeling and multi-level optimization in order to speed up the design optimization process. The contribution of the work is to show that by applying a merger of well-established methods, the computational cost can be cut significantly, enabling search for truly novel concepts. In order to introduce industrial relevance, a modular industrial robot has been chosen as a design study. 

LOG IN TO DOWNLOAD