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Analysis of Tool Utilization from Material Removal Rate Perspective
Högskolan Väst, Institutionen för ingenjörsvetenskap, Forskningsmiljön produktionsteknik(PTW). (PTW)ORCID-id: 0000-0002-2146-7916
Högskolan Väst, Institutionen för ingenjörsvetenskap, Avd för industriell produktion. Högskolan Väst, Institutionen för ingenjörsvetenskap, Avdelningen för avverkande och additativa tillverkningsprocesser (AAT). (PTW)ORCID-id: 0000-0003-0976-9820
Högskolan Väst, Institutionen för ingenjörsvetenskap, Avd för tillverkningsprocesser. (PTW)ORCID-id: 0000-0002-3436-3163
GKN Aerospace Engine Systems AB, Trollhättan, Sweden.
2015 (engelsk)Inngår i: Procedia CIRP, ISSN 2212-8271, E-ISSN 2212-8271, Vol. 29, s. 109-113Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

An end of life strategy algorithm has been used to study a CNC program to evaluate how the cutting inserts are used in terms of their full utilization. Utilized tool life (UTL) and remaining tool life (RTL) were used to evaluate if the insert has been used to its limits of expected tool life, or contributing to an accumulated tool waste. It is demonstrated that possible means to improvement exists to increase the material removal rate (MRR), thereby using the insert until its remaining tool life is as close to zero as possible. It was frequently found that inserts were used well below their maximum performance with respect to cutting velocity.

sted, utgiver, år, opplag, sider
2015. Vol. 29, s. 109-113
Emneord [en]
Tool life, tool utilization, material removal rate (MRR)
HSV kategori
Forskningsprogram
TEKNIK, Produktions- och materialteknik; Produktionsteknik
Identifikatorer
URN: urn:nbn:se:hv:diva-7614DOI: 10.1016/j.procir.2015.02.183ISI: 000356146100019Scopus ID: 2-s2.0-84939630891OAI: oai:DiVA.org:hv-7614DiVA, id: diva2:815922
Konferanse
The 22nd CIRP Conference on Life Cycle Engineering, Univ New S Wales, Sydney, AUSTRALIA, APR 07-09, 2015
Tilgjengelig fra: 2015-06-02 Laget: 2015-05-30 Sist oppdatert: 2020-02-20bibliografisk kontrollert
Inngår i avhandling
1. Analysis and direct optimization of cutting tool utilization in CAM
Åpne denne publikasjonen i ny fane eller vindu >>Analysis and direct optimization of cutting tool utilization in CAM
2015 (engelsk)Licentiatavhandling, med artikler (Annet vitenskapelig)
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.

sted, utgiver, år, opplag, sider
Trollhättan: University West, 2015. s. 82
Serie
Licentiate Thesis: University West ; 7
Emneord
CAM programming; Material Removal Rate; Tool life; Tool wear; Tool utilization; Cutting data; Lean; Optimization; CIM; Integration IT tools; Manufacturing
HSV kategori
Forskningsprogram
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 (engelsk)
Opponent
Veileder
Tilgjengelig fra: 2015-11-18 Laget: 2015-11-17 Sist oppdatert: 2016-11-13bibliografisk kontrollert
2. 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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