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首页> 外文会议>Second ICSC Symposium on Engineering of Intelligent Systems, Jun 27-30, 2000, Scotland, U.K. >A knowledge based approach for intelligent design of manufacturing processes
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A knowledge based approach for intelligent design of manufacturing processes

机译：基于知识的制造过程智能设计方法

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摘要

The quality of a workpiece is usually influenced by a wide set of process parameters and properties of the material and the geometry. Here, the laser sintering technique - a manufacturing technique for prototypes - is chosen as an example. For this process, optimised parameters, such as scan speed or laser power, must be determined. These parameters significantly influence the quality properties, e.g. hardness, geometric tolerances etc. But, these quality properties cannot be satisfied simultaneously. For example, the requirements on hardness and tolerances are contradictory to each other. In order to use the knowledge gained in past productions for optimised process design, a knowledge based approach is applied. A fuzzy rule system will be introduced which is capable to incorporate complex dependencies between process parameters and desired workpiece properties. This requires to extend the rule system by arithmetic terms. Moreover, a hybrid inference algorithm which needs the evaluation of rules as well as arithmetic expressions is designed to make this knowledge applicable for optimised process design.
机译：工件的质量通常受一系列工艺参数以及材料和几何形状特性的影响。在此，以激光烧结技术为原型的制造技术为例进行说明。对于此过程，必须确定优化的参数，例如扫描速度或激光功率。这些参数显着影响质量特性，例如硬度，几何公差等。但是，不能同时满足这些质量特性。例如，对硬度和公差的要求是相互矛盾的。为了将过去生产中获得的知识用于优化流程设计，应用了基于知识的方法。将引入一个模糊规则系统，该系统能够合并过程参数和所需工件属性之间的复杂依赖性。这需要通过算术术语来扩展规则系统。此外，设计了一种混合推理算法，该算法需要对规则以及算术表达式进行评估，以使该知识适用于优化的过程设计。

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