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Energy and Cost Estimation of a Feature-based Machining Operation on HRSA
Högskolan Väst, Institutionen för ingenjörsvetenskap, Forskningsmiljön produktionsteknik(PTW). GKN Aerospace Engine Systems AB, Trollhättan, Sweden. (PTW)ORCID-id: 0000-0002-2146-7916
Högskolan Väst, Institutionen för ingenjörsvetenskap, Avdelningen för avverkande och additativa tillverkningsprocesser (AAT). (PTW)
Högskolan Väst, Institutionen för ingenjörsvetenskap, Avdelningen för Industriell ekonomi, Elektro- och Maskinteknik. (PTW)
2017 (engelsk)Inngår i: Procedia CIRP, ISSN 2212-8271, E-ISSN 2212-8271, Vol. 61, nr Supplement C, s. 511-516Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Forward-looking manufacturing companies aim for sustainable production with low environmental footprint. This is true also for aerospace engine-makers, although their environmental impact mostly occurs during the use-phase of their products. Materials, such as Nickel alloys, are used for special applications where other materials will not withstand tough working conditions in terms of pressure and temperature. Heat Resistant Super Alloys are, however, considered difficult to machine and cutting tools will wear off rapidly. In this paper, a simple way to estimate the energy required, the cost and environmental footprint to produce a work piece using standard engineering software is presented. The results show that for a hypothetical 3 tonne work piece, Inconel 718 will be considerably cheaper and require less water but will require more energy, and has considerably larger CO2 footprint than Waspaloy.

sted, utgiver, år, opplag, sider
2017. Vol. 61, nr Supplement C, s. 511-516
Emneord [en]
Energy use, sustainable consumption and production, production cost, environmental footprint, HRSA, feature based machining
HSV kategori
Forskningsprogram
TEKNIK, Produktions- och materialteknik; Produktionsteknik
Identifikatorer
URN: urn:nbn:se:hv:diva-11573DOI: 10.1016/j.procir.2016.11.141Scopus ID: 2-s2.0-85020019067OAI: oai:DiVA.org:hv-11573DiVA, id: diva2:1142645
Forskningsfinansiär
Knowledge Foundation
Merknad

The 24th CIRP Conference on Life Cycle Engineering

Tilgjengelig fra: 2017-09-19 Laget: 2017-09-19 Sist oppdatert: 2019-05-21bibliografisk kontrollert
Inngår i avhandling
1. On cutting tool resource management
Åpne denne publikasjonen i ny fane eller vindu >>On cutting tool resource management
2018 (engelsk)Doktoravhandling, med artikler (Annet vitenskapelig)
Abstract [en]

The search for increased productivity and cost reduction in machining can be interpreted as desire to increase the Material Removal Rate, , and maximize the cutting tool utilization. The CNC process is complex and involves numerous constraints and parameters; ranging from tolerances to machinability. A well-managed preparation process creates the foundation for achieving a reduction in manufacturing errors and machining time. Along the preparation process of the NC-program, two different studies have been performed and are presented in this thesis. One study examined the CAM programming process from the Lean perspective. The other study includes an evaluation of how the cutting tools are used in terms of and tool utilization. Two distinct combinations of cutting data might provide the same . However, the tool life and machining cost can be different. Therefore, selection of appropriate cutting parameters that best meet all these objectives is challenging. An algorithm for analysis and efficient selection of cutting data for maximal , maximal tool utilization and minimal machining cost has been developed and is presented in this work. The presented algorithm shortens the time dedicated to the optimized cutting data selection and the needed iterations along the program development. Furthermore, the objectives that need to be considered during the estimation of the manufacturing processes sustainability have been identified. In addition, this thesis also includes a theoretical study to estimate energy use, CO2-footprint and water consumption during the manufacture of a workpiece, which can be invaluable for companies in their search for sustainability of their manufacturing processes.

sted, utgiver, år, opplag, sider
Trollhättan: University West, 2018. s. 108
Serie
PhD Thesis: University West ; 16
Emneord
CAM programming; Cutting data; Lean; Manufacturing; Material Removal Rate; Optimization; Tool life; Tool utilization; Tool wear; Sustainability
HSV kategori
Forskningsprogram
Produktionsteknik; TEKNIK, Produktions- och materialteknik
Identifikatorer
urn:nbn:se:hv:diva-12240 (URN)978-91-87531-82-8 (ISBN)978-91-87531-81-1 (ISBN)
Disputas
2018-05-08, F104, University West, Trollhättan, 10:15 (engelsk)
Opponent
Veileder
Tilgjengelig fra: 2018-04-12 Laget: 2018-04-06 Sist oppdatert: 2018-10-26bibliografisk kontrollert

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