Name
Abstract | ||
|---|---|---|
Reconfigurable machine tools (RMTs) are important equipment for enterprises to cope with ever-changing markets because of their flexibility. In design of such equipment, selection of appropriate modules is a very critical decision factor to effectively and efficiently satisfy manufacturing requirements. However, the selection of appropriate modules is a challenging task because it is a multi-domain mapping process relying heavily on experts’ domain knowledge, which is usually unstructured and implicit. To effectively support RMT designers, an ontology-based RMT module selection method is proposed. First, a knowledge base is built by development of an ontology to formally represent the taxonomy, properties, and causal relationships of/among three domain core concepts, namely, machining feature, machining operation, and RMT module involved in RMT design. Second, a four-step sequential procedure is established to facilitate the utilization of encoded knowledge from a knowledge base to aid in the selection of appropriate RMT modules. The procedure takes a given part family as the input, automatically infers the required machining operations as well as the RMT modules through rule-based reasoning, and eventually forms a set of RMT configurations that are capable of machining the part family as the output. Finally, the efficacy of the ontology-based RMT module selection method is demonstrated using a plate family manufacturing example. Results show that the approach is effective to support designers by appropriately and rapidly selecting modules and generating configurations in RMT design. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1007/s10845-018-1446-3 | Journal of Intelligent Manufacturing |
Keywords | Field | DocType |
Reconfigurable machine tool, Design, Module selection, Ontology, SWRL rule, Knowledge base | Ontology,Domain knowledge,Machining,Artificial intelligence,Engineering,Knowledge base,Machine learning,Machine tool | Journal |
Volume | Issue | ISSN |
31 | 2 | 1572-8145 |
Citations | PageRank | References |
0 | 0.34 | 17 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhenjun Ming | 1 | 7 | 3.91 |
| Cong Zeng | 2 | 0 | 0.68 |
| Guoxin Wang | 3 | 8 | 8.38 |
| Jia Hao | 4 | 10 | 1.55 |
| Yan Yan | 5 | 14 | 5.76 |