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|Title:||Applying AI in jigs and fixtures design|
|Authors:||Nee, A.Y.C. |
|Citation:||Nee, A.Y.C.,Bhattacharyya, N.,Poo, A.N. (1987). Applying AI in jigs and fixtures design. Robotics and Computer Integrated Manufacturing 3 (2) : 195-200. ScholarBank@NUS Repository.|
|Abstract:||In process planning, the correct selection of fixtures and work holding devices represents an important specification in addition to cutting tool requirements. The arrival at an appropriate fixture design traditionally consists of several phases: careful study of a product specification, retrieval of any existing similar designs, and manual selection of fixture elements based on catalogues and items available in the shop. This procedure depends largely on the knowledge and experience of a tool designer and is both time-consuming and expensive. In addition, manual design procedure does not lend itself readily to computerization. This paper reports the development of fixture design procedure using artificial intelligence. The basic fixture elements are divided into three essential categories: clamping elements, positioning and guiding elements, supporting and base elements. A knowledge-based program structure is used to decide on the appropriate fixture with respect to a particular workpiece specification. The drawing of the elements is then parametrically constructed with an interface program calling standard commands from a drafting package. The elements are assembled interactively to form the final description of the fixture. © 1987.|
|Source Title:||Robotics and Computer Integrated Manufacturing|
|Appears in Collections:||Staff Publications|
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