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Integrated optimization model for cutting data selection based on maximal MRR and tool utilization in continuous machining operations
Högskolan Väst, Institutionen för ingenjörsvetenskap, Forskningsmiljön produktionsteknik(PTW). (PTW)ORCID-id: 0000-0002-2146-7916
Högskolan Väst, Institutionen för ingenjörsvetenskap, Avd för tillverkningsprocesser. Högskolan Väst, Institutionen för ingenjörsvetenskap, Avdelningen för avverkande och additativa tillverkningsprocesser (AAT). (PTW)
Högskolan Väst, Institutionen för ingenjörsvetenskap, Avd för tillverkningsprocesser. (PTW)ORCID-id: 0000-0002-3436-3163
GKN Aerospace Engine Systems AB, Trollhättan, Sweden.
2016 (Engelska)Ingår i: CIRP - Journal of Manufacturing Science and Technology, ISSN 1755-5817, E-ISSN 1878-0016, Vol. 13, s. 46-50Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

The search for increased productivity can be interpreted as the increase of material removal rate (MRR). Namely, increase of feed, depth of cut and/or cutting speed. The increase of any of these three variables, will increase the tool wear rate; therefore decreasing its tool life according to the same tool life criteria. This paper proposes an integrated model for efficient selection of cutting data for maximal MRR and maximal tool utilization. The results show that, it is possible to obtain a limited range of cutting parameters from where the CAM Programmer can select the cutting data assuring both objectives.

Ort, förlag, år, upplaga, sidor
2016. Vol. 13, s. 46-50
Nyckelord [en]
Materials removal rate (MRR), tool life, tool wear, cutting data, optimization
Nationell ämneskategori
Bearbetnings-, yt- och fogningsteknik
Forskningsämne
Produktionsteknik
Identifikatorer
URN: urn:nbn:se:hv:diva-8674DOI: 10.1016/j.cirpj.2016.02.002ISI: 000376092800005Scopus ID: 2-s2.0-84960153710OAI: oai:DiVA.org:hv-8674DiVA, id: diva2:871965
Forskningsfinansiär
KK-stiftelsen
Anmärkning

Ingår i licentiatuppsats. Available online 12 March 2016

Tillgänglig från: 2015-11-17 Skapad: 2015-11-17 Senast uppdaterad: 2019-03-13Bibliografiskt granskad
Ingår i avhandling
1. Analysis and direct optimization of cutting tool utilization in CAM
Öppna denna publikation i ny flik eller fönster >>Analysis and direct optimization of cutting tool utilization in CAM
2015 (Engelska)Licentiatavhandling, sammanläggning (Övrigt vetenskapligt)
Abstract [en]

The search for increased productivity and cost reduction in machining can be interpreted as the desire to increase the material removal rate, MRR, and maximize the cutting tool utilization. The CNC process is complex and involves numerous limitations and parameters, ranging from tolerances to machinability. A well-managed preparation process creates the foundations for achieving a reduction in manufacturing errors and machining time. Along the preparation process of the NC-program, two different studies have been conducted and are presented in this thesis. One study examined the CAM programming preparation process from the Lean perspective. The other study includes an evaluation of how the cutting tools are used in terms of MRR and tool utilization.

The material removal rate is defined as the product of three variables, namely the cutting speed, the feed and the depth of cut, which all constitute the cutting data. Tool life is the amount of time that a cutting tool can be used and is mainly dependent on the same variables. Two different combinations of cutting data might provide the same MRR, however the tool life will be different. Thereby the difficulty is to select the cutting data to maximize both MRR and cutting tool utilization. A model for the analysis and efficient selection of cutting data for maximal MRR and maximal tool utilization has been developed and is presented. The presented model shortens the time dedicated to the optimized cutting data selection and the needed iterations along the program development.

Ort, förlag, år, upplaga, sidor
Trollhättan: University West, 2015. s. 82
Serie
Licentiate Thesis: University West ; 7
Nyckelord
CAM programming; Material Removal Rate; Tool life; Tool wear; Tool utilization; Cutting data; Lean; Optimization; CIM; Integration IT tools; Manufacturing
Nationell ämneskategori
Produktionsteknik, arbetsvetenskap och ergonomi
Forskningsämne
TEKNIK, Produktions- och materialteknik; Produktionsteknik
Identifikatorer
urn:nbn:se:hv:diva-8672 (URN)978-91-87531-14-9 (ISBN)978-91-87531-13-2 (ISBN)
Presentation
2015-11-27, C-118, University West, Trollhättan, 10:00 (Engelska)
Opponent
Handledare
Tillgänglig från: 2015-11-18 Skapad: 2015-11-17 Senast uppdaterad: 2016-11-13Bibliografiskt granskad
2. On cutting tool resource management
Öppna denna publikation i ny flik eller fönster >>On cutting tool resource management
2018 (Engelska)Doktorsavhandling, sammanläggning (Övrigt vetenskapligt)
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.

Ort, förlag, år, upplaga, sidor
Trollhättan: University West, 2018. s. 108
Serie
PhD Thesis: University West ; 16
Nyckelord
CAM programming; Cutting data; Lean; Manufacturing; Material Removal Rate; Optimization; Tool life; Tool utilization; Tool wear; Sustainability
Nationell ämneskategori
Bearbetnings-, yt- och fogningsteknik
Forskningsämne
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)
Disputation
2018-05-08, F104, University West, Trollhättan, 10:15 (Engelska)
Opponent
Handledare
Tillgänglig från: 2018-04-12 Skapad: 2018-04-06 Senast uppdaterad: 2018-10-26Bibliografiskt granskad

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