naa a22 4500 510823475 CHVBK 20180411083545.0 cr unu---uuuuu 180411e20131001xx s 000 0 eng 10.1007/s12541-013-0231-7 doi (NATIONALLICENCE)springer-10.1007/s12541-013-0231-7 Ontology-based modeling of process selection knowledge for machining feature [Elektronische Daten] [Kwangho Eum, Mujin Kang, Gyungha Kim, Myon Park, Jae Kim] One of the major activities in process planning is to decide the most appropriate machining methods for a part to be manufactured. Above all it requires the knowledge on feature, manufacturing capability of machining process and their relationships. As new technologies emerge, the process selection knowledge needs to be updated accordingly. Most of the systems dealing with process knowledge are not flexible enough to accommodate the relevant changes within an acceptable cost. In this paper, ontology based modeling of the process planning knowledge is presented. The core process ontology represents the process planning knowledge for machining operation selection regarding multi-axis machining feature. Firstly the concepts such as features, machining methods and process capability are modeled with relevant properties. Secondly the causal relationships between these concepts are modeled. In addition, the process selection logic is modeled by using rules which describe the match between machining requirements of a feature and process capability of a machining method. An example shows how the process ontology can be used in a reasoning mechanism for operations selection. Korean Society for Precision Engineering and Springer-Verlag Berlin Heidelberg, 2013 Process planning nationallicence Process knowledge modeling nationallicence Ontology nationallicence Eum Kwangho School of Mechanical Engineering, Sungkyunkwan University, Seobu-ro 2066, Jangan-gu, Suwon-si, 440-746, Gyeonggi-do, South Korea aut Kang Mujin School of Mechanical Engineering, Sungkyunkwan University, Seobu-ro 2066, Jangan-gu, Suwon-si, 440-746, Gyeonggi-do, South Korea aut Kim Gyungha School of Mechanical Engineering, Sungkyunkwan University, Seobu-ro 2066, Jangan-gu, Suwon-si, 440-746, Gyeonggi-do, South Korea aut Park Myon Center for Bionics, Korea Institute of Science and Technology, Hwarangno 14-gil 5, Seongbuk-gu, 136-791, Seoul, South Korea aut Kim Jae Center for Bionics, Korea Institute of Science and Technology, Hwarangno 14-gil 5, Seongbuk-gu, 136-791, Seoul, South Korea aut International Journal of Precision Engineering and Manufacturing Springer Berlin Heidelberg 14/10(2013-10-01), 1719-1726 2234-7593 14:10<1719 2013 14 12541 https://doi.org/10.1007/s12541-013-0231-7 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s12541-013-0231-7 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Eum Kwangho School of Mechanical Engineering, Sungkyunkwan University, Seobu-ro 2066, Jangan-gu, Suwon-si, 440-746, Gyeonggi-do, South Korea aut NATIONALLICENCE 700 1- Kang Mujin School of Mechanical Engineering, Sungkyunkwan University, Seobu-ro 2066, Jangan-gu, Suwon-si, 440-746, Gyeonggi-do, South Korea aut NATIONALLICENCE 700 1- Kim Gyungha School of Mechanical Engineering, Sungkyunkwan University, Seobu-ro 2066, Jangan-gu, Suwon-si, 440-746, Gyeonggi-do, South Korea aut NATIONALLICENCE 700 1- Park Myon Center for Bionics, Korea Institute of Science and Technology, Hwarangno 14-gil 5, Seongbuk-gu, 136-791, Seoul, South Korea aut NATIONALLICENCE 700 1- Kim Jae Center for Bionics, Korea Institute of Science and Technology, Hwarangno 14-gil 5, Seongbuk-gu, 136-791, Seoul, South Korea aut NATIONALLICENCE 773 0- International Journal of Precision Engineering and Manufacturing Springer Berlin Heidelberg 14/10(2013-10-01), 1719-1726 2234-7593 14:10<1719 2013 14 12541 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer