Intelligent Design and ManufacturingAndrew Kusiak Focuses on design and manufacturing and a variety of issues pertinent to successful techniques involving concurrent engineering. Considers product design and manufacturing constraints simultaneously, emphasizing the consideration of every element of the product's life cycle from concept through disposal. Examines such areas as quality, cost, scheduling and user needs. Design and manufacturing problems are thoroughly discussed and solutions are given by using numerous modern applications and implements, including basic artificial intelligence tools. |
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Page 110
... notch in the legal region . To understand why this change occurred , let us trace the sequence of events as the cam rotates in a counterclockwise direction . As the left upper tip of the projection touches the follower face , it pushes ...
... notch in the legal region . To understand why this change occurred , let us trace the sequence of events as the cam rotates in a counterclockwise direction . As the left upper tip of the projection touches the follower face , it pushes ...
Page 111
... notch in the c - space . This continues until a position is reached where the top face of the projection and the bottom face of the follower are parallel and touch . The sequence of events is then reversed and the follower descends . If ...
... notch in the c - space . This continues until a position is reached where the top face of the projection and the bottom face of the follower are parallel and touch . The sequence of events is then reversed and the follower descends . If ...
Page 720
... notch changes in the fuzzy ATO is about one - half , and the stopgap accuracy measured as the deviation of a given target is about one - third compared with those of the conventional ATO . This implies that the fuzzy ATO is able to ...
... notch changes in the fuzzy ATO is about one - half , and the stopgap accuracy measured as the deviation of a given target is about one - third compared with those of the conventional ATO . This implies that the fuzzy ATO is able to ...
Contents
Features in Design and Manufacturing | 39 |
Moving Objects in Intelligent Design | 73 |
Qualitative Reasoning Methods in Design | 103 |
Copyright | |
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activities algorithm alternative analysis application approach architecture assembly automated behavior capacity cell chart complete components considered constraints cost database decision defined described determine developed discussed elements Engineering equipment error evaluation example expert system FIGURE fixture flexible function geometric given goal graph implementation Industrial input inspection integrated Intelligent knowledge limits machine manufacturing Manufacturing Systems material mean Mechanical methods node objective operations optimal output parameters path performance possible presented problem procedure process planning reasoning referred representation represented Research robot rules scheduling selection sequence shown simulation solution solving space specific stage standard station step strategy structure surface Table task techniques tion tool transformation units University variables workpiece workstation