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首页> 外文会议>Fuzzy Information Processing Society, 1999. NAFIPS. 18th International Conference of the North American >A general method for surface quality control in intelligent manufacturing of materials using a new fuzzy-fractal approach
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A general method for surface quality control in intelligent manufacturing of materials using a new fuzzy-fractal approach

机译：一种新的模糊分形方法在智能制造材料中进行表面质量控制的通用方法

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摘要

We describe a general method to perform automated quality control in the manufacturing of materials using a new fuzzy-fractal approach. We also show how to implement this new method as an intelligent system to really achieve the goal of automated quality control in practice. Engineers deal with surfaces and surface properties in a wide variety of contexts. In manufacturing applications, the goal is to produce a surface with specific physical or chemical properties. The concept of the fractal dimension can be used to classify a complex geometrical object (O. Castillo and P. Melin, 1994). In this case, we use the fractal dimension to characterize surface roughness of materials for manufacturing applications. On the other hand, we used fuzzy logic techniques (L.A. Zadeh, 1975) to simulate the expert evaluation/decision process to obtain the quality of the manufactured materials. The process of quality evaluation is simulated in an intelligent system using as input the information about material roughness (fractal dimension), and then by applying a set of fuzzy rules to decide on the degree of quality of the production. The intelligent system performs this "expert" simulation, which in turn results in automated evaluation of production quality.
机译：我们描述了一种使用新的模糊分形方法在材料制造中执行自动化质量控制的通用方法。我们还将展示如何将这种新方法实现为智能系统，以在实践中真正实现自动化质量控制的目标。工程师在多种情况下处理表面和表面特性。在制造应用中，目标是生产具有特定物理或化学性质的表面。分形维数的概念可用于对复杂的几何对象进行分类（O. Castillo和P. Melin，1994）。在这种情况下，我们使用分形维数来表征制造应用中材料的表面粗糙度。另一方面，我们使用模糊逻辑技术（L.A. Zadeh，1975）来模拟专家评估/决策过程，以获得制造材料的质量。在一个智能系统中，使用有关材料粗糙度（分形维数）的信息作为输入，然后通过应用一组模糊规则来确定产品的质量程度，以模拟质量评估过程。智能系统执行此“专家”模拟，从而自动评估生产质量。

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