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首页> 外文期刊>International Journal of Production Research >Enriched machining feature-based reasoning for generic machining process sequencing
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Enriched machining feature-based reasoning for generic machining process sequencing

机译：丰富的基于加工特征的推理，适用于一般加工过程排序

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摘要

This paper presents an enriched machining feature (EMF)-based reasoning approach to generic machining process sequencing for distributed process planning (DPP). An EMF is represented by combining its machining volume with surface, geometric and volume features, as well as other technological information needed to machine the feature. The information embedded in the EMF is retrieved progressively for machining sequence generation. Following an introduction of EMF and its representation scheme, the problems in determining machine-independent feature groups (set-ups) in DPP and their machining sequences to be followed for a given part are investigated. Based on the EMF concept, five reasoning rules are formulated and the algorithms developed. As the set-ups and sequences are generated based on manufacturing constraints and datum references but separated from specific resources, they are generic and applicable to machine tools with varying configurations and capabilities. This approach is further validated through a case study.
机译：本文提出了一种基于丰富加工特征（EMF）的推理方法，用于分布式加工计划（DPP）的通用加工过程排序。通过将其加工体积与曲面，几何和体积特征以及加工该特征所需的其他技术信息相结合来表示EMF。逐步检索嵌入在EMF中的信息，以生成加工序列。在介绍了EMF及其表示方案之后，研究了确定DPP中与机器无关的特征组（设置）及其在给定零件上要遵循的加工顺序的问题。基于EMF概念，制定了五个推理规则并开发了算法。由于设置和序列是根据制造约束和基准参考生成的，但与特定资源分开，因此它们是通用的，适用于具有不同配置和功能的机床。通过案例研究进一步验证了此方法。

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