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Constraint-directed nonsharp separation sequence design--a knowledge-based approach.

机译:约束定向的非锐利分离序列设计-一种基于知识的方法。

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Knowledge-based tools are used to design separation sequences where non-key components distribute. Specifically, frame-based, rule-based, and assumption-based truth maintenance systems are used. The design process utilizes information for classification, opportunistic decisions, alternative generation and evaluation, and modification guided by constraint satisfaction. By applying the appropriate information at the appropriate stage of the design process, the process and final design are more readily understandable by the designer. The use of non-sharp separators where non-key components can distribute, agree with the intuition that the minimum separation and blending should take place. An apparent lower bound on separation purity is defined and these values and the Fenske equation are used to calculate a minimum number of stages and model the non-key component distribution. The minimum number of stages is used to opportunistically produce a partial sequence ordering, which in turn is used to automatically produce alternatives. The structure of these sequences, the modelled distribution, which is an overestimation, and the product specifications, are used to guide the separation purity adjustment.
机译:基于知识的工具用于设计非关键组件分布的分离序列。具体而言,使用基于框架,基于规则和基于假设的真值维护系统。设计过程利用信息进行分类,机会决策,替代方案生成和评估以及在约束满足的指导下进行修改。通过在设计过程的适当阶段应用适当的信息,设计人员将更容易理解过程和最终设计。在可以分配非关键成分的非锐利分离器上使用,应符合直觉,即应进行最小程度的分离和混合。定义了分离纯度的明显下限,这些值和Fenske方程用于计算最小级数并为非关键组分分布建模。最少的阶段数用于机会性地产生部分序列顺序,而顺序地又用于自动产生替代顺序。这些序列的结构,被高估的建模分布以及产品规格均用于指导分离纯度的调整。

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