Abstract
Fixture is technological equipment which is able to determine the location of the workpiece accurately and clamp the workpiece steadily. A good fixturing scheme could help improve the quality of products. A new design algorithm of fixturing scheme based on RBR and CBR is developed. The appropriate parts feature information model is decided based on requirements of design of fixturing scheme. The rules of constraint of DOFs and the rules of fuzzy inference are used to determine the correctness of the scheme location of the workpiece according to requirements of machining dimensions and the geometry information. In the case library, some appropriate fixturing schemes are retrieved according to constraint DOFs. Their entire similarities of these appropriate fixturing schemes are figured out and ranked from high to low. The fixturing scheme with the highest similarity is modified and stored into the case library. This entire method makes the best of advantages of RBR and CBR to achieve automation of fixturing scheme. It could help the automation of CAFD. This method has higher practical value.
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