Manufacturability verification through feature-based ontological product models

Abstract

2 Abstract: To achieve efficient, fast and cost effective production, designers must consider all the manufacturing stages a product has to go through. A case study in a manufacturing setup shows that due to the differences in perception of an engineering component, the coordination between design and manufacturing becomes difficult.Semantic interoperability problems are therefore faced when knowledge sharing for the purpose of manufacturability verification is attempted through computer-based knowledge bases. Ontologies have a reputation for solving semantic interoperability problems. Combined with shape feature based models of components, ontologies provide a basis for seamless knowledge sharing. This paper demonstrates the use of ontologies for analyzing the manufacturability of engineering components in the early design stages. This is done by developing shape feature based ontological models of these components and associating manufacturability knowledge with these models. To achieve this, an ontological modelling technique is proposed which uses shape feature based geometrical models of engineering components as building blocks. The knowledge associated with these models to demonstrate their use for manufacturability verification is derived from the findings of a case study also detailed in this paper.

Beyond assembly features: systematic review of the core concepts and perspectives towards a unified approach to assembly information representation

“…Autonomous systems require intensive knowledge sharing at every level of the value chain, which is why interoperability has already been identified by industry (Anjum et al 2012) and standardization organizations as a strategic area of action (DKE/DIN 2020). Application-driven representational choices (Sanfilippo and Borgo 2016) added to the lack of use of existing information standards (Rogstrand and Kjellberg 2009) have been appointed as hurdles for interoperability.…”

RMPFQ: A Quality-Oriented Knowledge Modelling Method for Manufacturing Systems Towards Cognitive Digital Twins

“…It is worth to note that there also exist relations among different resources, i.e. machine, setup, and cutting tool, which is not reflected in the proposed model; and a machining process may generate multiple features as described by Najam et al (Anjum et al, 2012).…”

What are features? An ontology-based review of the literature

“…n-ary predicates. Usman and colleagues [97] propose the Manufacturing Core Ontology (MCCO) as a common semantic foundation for knowledge representation in manufacturing; the ontology is extended and exploited in [98] for manufacturability analysis and verification. Among its classes, the MCCO includes 'realised part', 'part version', 'manufacturing facility' and 'manufacturing process', which are associated via different relationships.…”

“…Ontological constraints of this kind are not only needed to explicitly characterise assumptions on what features are, but also to verify product models against experts' assumptions, see e.g. [54,98].…”