事例推理的夹具设计英文文献和中文翻译
Of case based reasoning in fixture design
Abstract: Based on the case based designing (CBD) methodology, the fixture
similarity is in two respects: the function and the structure information. Then, the
computer aided fixture design system is created on case based reasoning (CBR),in
which the attributes of the main features of workpiece and structure of fixture as
case index code are designed for the retrieve of the similar cases, and the structure
and hierarchical relation of case library are set up for store. Meanwhile, the
algorithm based on the knowledge guided in the retrieve of the similar cases, the
strategy of case adapt at ion and case storage in which the case ident if cat ion
number is used to distinguish from similar cases are presented. The application of
the system in some projects improves the design efficiency and gets a good result .
Keywords: case based reasoning ;fixture design; computer aided design(CAD)7092
Fixtures are devices that serve as the purpose of holding the workpiece
securely and accurately, and maintaining a consistent relationship with respect to the
tools while machining. Because the fixture structure depends on the feature of the
product and the status of the process planning in the enterprise, its design is the
bottleneck during manufacturing, which restrains to improve the efficiency and
leadtime. And fixture design is a complicated process, based on experience that
needs comprehensive qualitative knowledge about a number of design issues 2
including workpiece configuration, manufacturing processes involved, and
machining environment. This is also a very time consuming work when using
traditional CAD tools (such as Unigraphics, CATIA or Pro/E), which are good at
performing detailed design tasks, but provide few benefits for taking advantage of
the previous design experience and resources, which are precisely the key factors in
improving the efficiency. The methodology of case based reasoning (CBR) adapts
the solution of a previously solved case to build a solution for a new problem with
the following four steps: retrieve, reuse, revise, and retain [1]. This is a more useful
method than the use of an expert system to simulate human thought because
proposing a similar case and applying a few modifications seems to be self
explanatory and more intuitive to humans .So various case based design support
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