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Reconstructing CNC platform for EDM machines towards smart manufacturing
KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Sustainable Production Systems. State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University.ORCID iD: 0000-0002-7220-9271
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2020 (English)In: Procedia CIRP, Elsevier B.V. , 2020, p. 161-177Conference paper, Published paper (Refereed)
Abstract [en]

CNC (computer numerical control) systems play an ultimately important role for controlling EDM (electrical discharge machining) machine tools and their machining processes. Till now, existing CNC systems do not offer sufficient openness that supports researchers and engineers to expend its capabilities and functionalities in response to the increasing demands of smart manufacturing; on the other hand, transforming an EDM machine made by small and medium-sized machine tool builders, into a smart manufacturing system has never been an easy job. To address the issues and overcome the difficulties which block the way towards smart manufacturing, this paper proposes an open architecture CNC platform for EDM machine tools. This platform utilizes the state-of-the-art technologies in implementation of the hardware and software without compromising with the constraints of obsolete techniques. For demonstrating the unique capabilities, the generalized unit arc length increment (GUALI) interpolation method and the Digitizer/Player system architecture are adopted. To exhibit the feasibilities of the newly developed platform, three kinds of EDM machine tools are applied associated with advanced functionalities such as machining process adaptive control, applications of machine learning, 6-axis EDM of shrouded turbine blisks etc. In addition, a small-scale smart manufacturing unit for drilling film cooling holes of turbine blades is built up into real production by applying the new CNC system and related software applications. From the practitioner's viewpoint, openness and standardization are the keys that enable the people from academia and industry bringing in their domain knowledge to enrich the smart manufacturing ecosystem.

Place, publisher, year, edition, pages
Elsevier B.V. , 2020. p. 161-177
Keywords [en]
Application of AI, Die-sinking EDM, Digitizer/player architecture, EDM, Generalized unit arc length increment method, Machining process adaptive control, Open architecture CNC platform, Openness and standardization, Small hole fast drilling EDM, Smart manufacturing, Wire EDM, Adaptive control systems, Application programs, Computer architecture, Computer control systems, Electric discharge machining, Electric discharges, Infill drilling, Machine tools, Network architecture, Process control, Turbomachine blades, Applications of AI, Die-sinking electrical discharge machining, Electrical discharge machining, Open architecture computer numerical control platform, Small hole fast drilling electrical discharge machining, Wire electrical discharge machining, Flow control
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
URN: urn:nbn:se:kth:diva-302880DOI: 10.1016/j.procir.2020.03.134Scopus ID: 2-s2.0-85102047186OAI: oai:DiVA.org:kth-302880DiVA, id: diva2:1599926
Conference
20th CIRP Conference on Electro Physical and Chemical Machining, ISEM 2020, 19 January 2021 through 21 January 2021
Note

QC 20211003

Available from: 2021-10-03 Created: 2021-10-03 Last updated: 2022-06-25Bibliographically approved

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Chen, Mo

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