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Process planning for cnc machining of swedish subcontractors: A web survey
University West, Department of Engineering Science, Division of Production Engineering. (PTW)
University West, Department of Engineering Science, Division of Production Engineering. University West, Department of Engineering Science, Division of Subtractive and Additive Manufacturing. (PTW)ORCID iD: 0000-0003-0976-9820
University West, Department of Engineering Science, Division of Production Engineering. (PTW)ORCID iD: 0000-0003-1408-2249
2014 (English)In: Procedia CIRP, E-ISSN 2212-8271, Vol. 17, p. 732-737Article in journal (Refereed) Published
Abstract [en]

Process planning of CNC machining is critical to ensure cost, time and quality parameters of manufacturing operations. At the heart of process planning is, typically the process planner, who must make a multitude of decisions regarding machines, cutting strategies, tools and process parameters etc. Today there are a number of different tools and methods available to aid the process planner. This paper explores today’s industrial use of some of these aids and outlinespotential underlying reasons for the current state. The empirical data is based on a questionnaire survey of Swedish CNC machining sub-contractors. The main conclusion is that despite a long history of development of various aids (CAD/CAM, PLM standards etc.) there is still a large proportion of the industry, which has not yet adopted these aids. By the responding companies 32% do not use any CAM system and only 2% use a PLM system. On the other side of the spectrum is a group of 25% that uses CAM in 75% or more of their planned products. The learning from this survey can be used to better understand the industrial needs and focus research and development efforts.

Place, publisher, year, edition, pages
2014. Vol. 17, p. 732-737
Keywords [en]
Cams, computer aided design, contractors, cutting tools, industrial applications, process planning, research and development management, surveys, manufacturing operations, performance indicators, PLM, process parameters, quality parameters, questionnaire surveys, research and development, tools and methods, manufacture
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
Production Technology; ENGINEERING, Manufacturing and materials engineering
Identifiers
URN: urn:nbn:se:hv:diva-6692DOI: 10.1016/j.procir.2014.02.055ISI: 000345458000125Scopus ID: 2-s2.0-84904500720OAI: oai:DiVA.org:hv-6692DiVA, id: diva2:747761
Conference
47th CIRP Conference on Manufacturing Systems, CMS 2014
Available from: 2014-09-17 Created: 2014-09-16 Last updated: 2024-09-04Bibliographically approved

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Anderberg, StaffanBeno, TomasPejryd, Lars

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