A Process Decision-Making Method for Planar Machining of Box-Type Components
Source abstract
Abstract
The process of decision-making for machining box-type components plays a crucial role in the technological design of mechanical components. Currently, the selection of process parameters for box-type parts often relies on designers consulting manuals or on personal experience. Moreover, different designers utilize independent and heterogeneous Computer-Aided Process Planning (CAPP) systems, leading to uncertainties in process design and difficulties in sharing and transmitting process knowledge. This paper proposes an ontology-based process decision-making method for the planar machining of box-type parts to infer the appropriate machining process parameters. First, a hierarchical information representation model for process decision-making in planar machining is constructed to describe the decision-making process. Second, an ontology model for process decision-making in planar machining is developed based on relevant concepts and relationships involved in the decision-making process. Third, reasoning rules for planar machining process decisions are established using Semantic Web Rule Language (SWRL), incorporating part feature information and process knowledge to infer reasonable process methods and operation dimensions. Finally, a case study of gear transmission housing is presented to illustrate the working process of the proposed method and verify its effectiveness.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Manufacturing Process and Optimization · Engineering Technology and Methodologies · Advanced machining processes and optimization
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Mechanical and Electrical Engineer, Guilin University of Electronic Technology, Guilin 541004, China
Nanning Research Institute, Guilin University of Electronic Technology, Nanning 530000, China
Liuzhou Institute of Technology, School of Automotive Engineering, Liuzhou 545006, China
Funding
National Natural Science Foundation of China
References (36)
Show source-provided references
1. A Genetic Algorithm for Operation Sequencing in CAPP Using Edge Selection Based Encoding Strategy10.1007/s10845-015-1109-6 ↗
2. Digital Twin-Based Process Reuse and Evaluation Approach for Smart Process Planning10.1007/s00170-018-2748-5 ↗
3. Machining Process Sequencing and Machine Assignment in Generative Feature-Based CAPP for Mill-Turn Parts10.1016/j.jmsy.2018.06.001 ↗
4. Toward a Framework of Extracting Typical Machining Process Routines Based on Knowledge Representation Learning10.1016/j.aei.2024.102431 ↗
5. An Intelligent Process Planning System for Micro Turn-Mill Parts10.1080/00207543.2014.910626 ↗
6. Feature-Based Modelling and Process Parameters Selection in a CAPP System for Prismatic Micro Parts
7. Zai, D. (2015). Research on Key Technology of Feature-Based Three-Dimensional Process Design of Box-Like Parts. [Master’s Thesis, Beijing Institute of Technology].
8. Research on Three-Dimensional Digital Process Planning Based on MBD10.1108/K-05-2017-0170 ↗
9. Research on the Construction of Topological Ontology Model for Complex Mechanical Products
10. Ontology construction and reasoning for product customization
11. Rehage, G. (2019). Ontologie-Basiertes WBS Für Die Arbeitsplanung: Intelligente Wissensverwaltung Und Maschinenauswahl. Intelligente Arbeitsvorbereitung auf Basis Virtueller Werkzeugmaschinen, Springer.10.1007/978-3-662-58020-2_3 ↗
12. Semantische Integration Der Disziplinübergreifenden Und Der Disziplinspezifischen Ebene in Der Entwicklung Intelligenter Technischer Systeme
13. Ontologies in Bioinformatics and Systems Biology10.1134/S2079059716070091 ↗
14. Manzoor, S., Rocha, Y.G., Joo, S.-H., Bae, S.-H., Kim, E.-J., Joo, K.-J., and Kuc, T.-Y. (2021). Ontology-Based Knowledge Representation in Robotic Systems: A Survey Oriented toward Applications. Appl. Sci., 11.10.3390/app11104324 ↗
15. Current Research in Learning Design
16. Semantic Modeling of Manufacturing Domain Knowledge Based on Multidimensional Ontology
17. Construction of a Comprehensive Domain Ontology Knowledge Base for Assembly Tolerance
18. Assembly Ontology for Assembly Sequence Planning
19. Ontology and CBR Based Automated Decision-Making Method for the Disassembly of Mechanical Products10.1016/j.aei.2016.06.005 ↗
20. Construction of Ontology for Auto-Interpretable Tolerance Semantics in Skin Model10.1007/s12652-019-01497-7 ↗
21. Shi, X., Tian, X., Wang, G., Zhang, M., and Zhao, D. (2018). A Simplified Model for Assembly Precision Information of Complex Products Based on Tolerance Semantic Relations. Sustainability, 10.10.3390/su10124482 ↗
22. An Ontology-Based Method of Knowledge Modelling for Remanufacturing Process Planning10.1016/j.jclepro.2020.120952 ↗
23. Ontology-Based Method for Automatic Generation of Dimensional Parameters of Cylindrical Process for Shaft Parts
24. Zhang, C. (2018). A Study of Formal Description and Retrieval of Artifacts Based on Domain Ontology. [Master’s Thesis, Kunming University of Science and Technology].
25. The Even More Irresistible SROIQ
26. Research on Domain Ontology Construction Method
27. Overview and Analysis of Methodologies for Building Ontologies10.1017/S0269888902000462 ↗
28. Youn, S., and McLeod, D. (2006). Ontology Development Tools for Ontology-Based Knowledge Management. Encyclopedia of E-Commerce, E-Government, and Mobile Commerce, IGI Global.10.4018/978-1-59140-799-7.ch138 ↗
29. Ontology-Based Solutions for Interoperability among Product Lifecycle Management Systems: A Systematic Literature Review
30. SWRL: A Semantic Web Rule Language Combining OWL and RuleML
31. Ji, Z. (2015). Analyzing the Principle of Machining Process Design of Parts. Ind. Des., 117.
32. Chen, H. (2016). Handbook of Practical Machining Processes, Machinery Industry Press. [4th ed.].
33. Song, F. (2018). Design method of plane blank size basedon reference vector. [Master’s Thesis, Taiyuan University of Technology].
34. Automatic Generation of Assembly Sequence Based on Ontology
35. Methodology for Ontology Design and Construction10.22201/fca.24488410e.2020.2368 ↗
36. Zhang, B. (2017). Typical Precision Parts Machining Process Analysis and Examples, Mechanical Industry Press.