Formalization of engineering knowledge for industrial robots using Knowledge Fusion language

Knowledge-based engineering aims to automate product design processes. Researches in manufacturing try to find optimal way to reduce the time required to go from intangible idea to a product in hands of a customer. With the advances of Information and Communication Technologies, it becomes possible to integrate and use information generated at different phases of a product lifecycle. That includes deciding on how robots should operate, which have got a key role in automation of manufacturing processes. Use of formalized representation of engineering knowledge for industrial robots' application can allow for better decision making. This paper proposes an approach for integrating product design with robot applications using Knowledge Fusion language. The Knowledge Fusion allows to capture engineering knowledge in computer-processable format that can be later used for automating design and manufacturing processes. An approach is illustrated with Siemens NX tools framework. (C) 2020 The Authors. Published by Elsevier Ltd.