PROJECT TITLE :

Imaginal Thinking-Based Human-Machine Design Methodology for the Configuration of Reconfigurable Machine Tools

ABSTRACT :

Reconfigurable manufacturing systems (RMSs) has emerged as a complicated system for applying Enterprise Systems (ES) in manufacturing enterprises to dynamically adapt to the changing market. Although it's been recognized that human-machine interaction plays a vital role in configuration style, especially for reconfigurable machines tools (RMTs), for the core of RMS, there are not any platforms offered for the harmonious interaction between human and pc, mainly as a result of of the limitation of ancient artificial intelligence frame. In this paper, we present a person's-machine style methodology for the configuration of RMTs based on imaginal thinking, a thinking style described as forming and comparison of pictures, that is radically different from traditional logical and intuitive thinking. The information and expertise that are highly relevant to mechanical design and also the connected information in logical deduction are organized as high dimensional images. By imitating human imaginal thinking, computer employs Lie subgroup or submanifold and Quotient kinematics to get all potential configurations in the shape of images, whereas humans make judgments and complete the optimization process through the imaginal human-machine interface. Both human's decision-making ability based mostly on information and expertise and pc's high-speed logical computation are exploited to a full extent. This novel design methodology has illustrated its effectiveness by an example concerning the look of a pipe-cutting RMT.


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