PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Decomposition of knowledge for automatic programming of CNC machines

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
In the era of Industry 4.0, the automation of processes in the life cycle of a product seems to be a necessity. Although programming CNC machines with CAM systems make it possible, it is necessary to effectively acquire knowledge about the programming process and technological requirements for effective automation. The paper presents a method for decomposition of knowledge about the CNC machine programming process based on acquiring knowledge from various sources, both from technologists as well as on the basis of analysis of archival CNC control programs. To decompose the programming process, it is proposed to apply the knowledge model described by various attributes. Verification of the method is shown in the process of knowledge decomposition for manufacturing special production tooling.
Twórcy
  • Poznan University of Technology, Chair of Management and Production Engineering, Poland
  • Poznan University of Technology, Chair of Management and Production Engineering, Piotrowo 3, 60-965 Poznań, Poland
Bibliografia
  • [1] Kreis A., Hirz M., Stadler S., Optimized information exchange process between CAD and CAM: Enhanced data exchange in the field of joining technology from the viewpoint of an automotive supplier, 5th International Conference on Industrial Engineering and Applications (ICIEA), IEEE pp. 184–188, 2018.
  • [2] Fogliatto F.S., da Silveira G.J., Borenstein D., The mass customization decade: an updated review of the literature, International Journal of Production Economics, 138, 1, 14–25, 2012.
  • [3] Salvador F., de Holan P.M., Piller F., Cracking the code of mass customization, MIT Sloan Management Review, 50, 3, 71–78, 2009.
  • [4] Zawadzki P., Żywicki K., Smart product design and production control for effective mass customization in the Industry 4.0 concept, Manag. and Prod. Eng. Rev., 7, 3, 105–112, 2016.
  • [5] Górski F., Zawadzki P., Hamrol A., Knowledge based engineering as a condition of effective mass production of configurable products by design automation, Journal of Machine Engineering, 16, 2016.
  • [6] Górski F., Hamrol A., Kowalski M., Paszkiewicz R., Zawadzki P., An automatic system for 3D models and technology process design, Transactions of FAMENA, 35, 2, 69–78, 2011.
  • [7] Gosling J., Naim M.M., Engineer-to-order supply chain management: a literature review and research agenda, International Journal of Production Economics, 122, 2, 741–754, 2009.
  • [8] Fountas N.A., Krimpenis A.A., Vaxevanidis N.M., Software development tools to automate CAD/CAM systems, Computer Systems and Software Engineering: Concepts, Methodologies, Tools, and Applications, IGI Global, pp. 1077–1111, 2018.
  • [9] Kreis A., Hirz M., Stadler S., Optimized information exchange process between CAD and CAM: Enhanced data exchange in the field of joining technology from the viewpoint of an automotive supplier, 5th International Conference on Industrial Engineering and Applications (ICIEA), IEEE, pp. 184–188, 2018.
  • [10] Caligiana G., Francia D., Liverani A., CAD-CAM integration for 3D hybrid manufacturing, Advances on Mechanics, Design Engineering and Manufacturing, Springer, Cham, pp. 329–337, 2017.
  • [11] Dubovska R., Jambor J., Majerik J., Implementation of CAD/CAM system CATIA V5 in simulation of CNC machining process, Procedia Engineering, 69, 638–645, 2014.
  • [12] Tan C.F., Kher V.K., Ismail N., Design of a feature recognition system for CAD/CAM integration, World Applied Sciences Journal, 21, 8, 1162–1166, 2013.
  • [13] Brettel M., Friederichsen N., Keller M., Rosenberg M., How Virtualization, Decentralization and Network Building Change the Manufacturing Landscape: An Industry 4.0 Perspective, International Journal of Mechanical, Aerospace, Industrial, Mechatronic and Manufacturing Engineering, 8, 1, 2014.
  • [14] Shrouf F., Ordieres J., Miragliotta G., Smart Factories in Industry 4.0: A Review of the Concept and of Energy Management Approached in Production Based on the Internet of Things Paradigm, Industrial Engineering and Engineering Management (IEEM), IEEE International Conference on. IEEE, 2014.
  • [15] Elgh F., Cederfeldt M., Documentation and management of product knowledge in a system for automated variant design: a case study, New World Situation: New Directions in Concurrent Engineering, Springer, London, pp. 237–245, 2010.
  • [16] Jakobs E.M., Digmayer C., Vogelsang S., Servos M., Not ready for Industry 4.0: usability of CAx systems, International Conference on Applied Human Factors and Ergonomics, Springer, Cham, pp. 51– 62, 2017.
  • [17] Zhou H., Wu J., Research on CAD/CAM Integration Methods Based on the STL Model, Proceedings of the 5th International Conference on Electrical Engineering and Automatic Control, Springer, Berlin, Heidelberg, pp. 1201–1207, 2016.
  • [18] Xu T., Chen Z., Li J., Yan X., Automatic tool path generation from structuralized machining process integrated with CAD/CAPP/CAM system, The International Journal of Advanced Manufacturing Technology, 80, 5–8, 1097–1111, 2015.
  • [19] Mohamad M.H., Zahid M.N.O., Development of machining simulation application using visual basic programming in NX CAM system environment, Proceedings of Mechanical Engineering Research Day, pp. 73–74, 2018.
  • [20] Verhagen W.J.C., Bermell-Garcia P., Van Dijk R.E.C., Curran R., A critical review of KnowledgeBased Engineering: an identification of research challenges, Advanced Engineering Informatics, 26, 1, 5–15, 2012.
  • [21] Choi J.W., Kelly D., Raju J., Reidsema C., Knowledge-based engineering system to estimate manufacturing cost for composite structures, Journal of Aircraft, 42, 6, 1396–1402, 2005.
  • [22] Elgh F., Cederfeldt M., Documentation and Management of Product Knowledge in a System for Automated Variant Design: A Case Study, New World Situation: New Directions in Concurrent Engineering, Springer, London, pp. 237–245, 2010.
  • [23] Stokes M., Managing engineering knowledge; MOKA: methodology for knowledge based engineering applications, Professional Engineering Publishing, London 2001.
  • [24] Tarkian M., Design reuse and automation, Printed in Sweden by LiU-Tryck Link¨oping, 2009.
  • [25] Van der Laan A.H., Knowledge based engineering support for aircraft component design, Design of Aircraft and Rotorcraft, Faculty of Aerospace Engineering, Delft University of Technology, Delft, p. 254, 2008.
  • [26] Skarka W., Application of MOKA methodology in generative model creation using CATIA, Engineering Applications of Artificial Intelligence, Elsevier, p. 20, 2007.
  • [27] Curran R., Verhagen W.J.C., Van Tooren M.J.L., Van der Laan A.H., A multidisciplinary implementation methodology for knowledge based engineering: KNOMAD, Expert Systems with Applications, 37, 11, 7336–7350, 2010.
  • [28] Zawadzki P., Methodology of KBE system development for automated design of multivariant products, [in:] Hamrol A., Ciszak O., Legutko S., Jurczyk M. [Eds.] Advances in Manufacturing. Lecture Notes in Mechanical Engineering, Springer, Cham, pp. 239– 248, 2018.
  • [29] Sika R., Rogalewicz M., Trojanowska J., Gmyrek Ł., Rauchut P., Kasprzyk T., Machado J., Automatic Assist in Estimating the Production Capacity of Final Machining for Cast Iron Machine Parts, World Conference on Information Systems and Technologies, Springer, Cham, pp. 254–263, 2018.
  • [30] Dostatni E., Grajewski D., Diakun J., Wichniarek R., Buń P., Górski F., Karwasz A., Improving the skills and knowledge of future designers in the field of ecodesign using virtual reality technologies, International Conference Virtual and Augmented Reality in Education, Procedia Computer Science, 75, 348–358, 2015.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-c6ae06bb-ac91-4bdb-9893-f45a22a81d91
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.