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Plastic deformation-based energy consumption modelling for machining
Harbin Univ Sci & Technol, Sch Mech & Power Engn, Harbin 150080, Heilongjiang, Peoples R China..
KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.ORCID iD: 0000-0001-8679-8049
Huazhong Univ Sci & Technol, Sch Mech Sci & Engn, Wuhan 430000, Hubei, Peoples R China..
KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
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2018 (English)In: The International Journal of Advanced Manufacturing Technology, ISSN 0268-3768, E-ISSN 1433-3015, Vol. 96, no 1-4, p. 631-641Article in journal (Refereed) Published
Abstract [en]

To predict energy consumption in machining, a mathematical modelling method to mimic the cutting energy consumption during machining is proposed in this paper. The established model is based on the law of energy conservation. The mechanical material property coefficients and cutting parameters are included in the model by using material deformation theory and friction calculation which are used to represent the phenomena in machining. Cutting energy of material removal process is refined by analysing the effect of tool edge geometry. In addition, the machining process is divided into two machining elements, linear element and circular arc element, of which energy consumptions are established based on the principal theories above. Calculation method on the instantaneous cutting thickness for circular arc elements is proposed. Finally, a test example is given to validate the proposed modelling approach. With the proposed method, the separate impacts of the factors (e.g. cutting parameters, workpiece, tool) have been analysed and the physical background behind the known experimental dependence of the cutting parameters on cutting energy is revealed.

Place, publisher, year, edition, pages
SPRINGER LONDON LTD , 2018. Vol. 96, no 1-4, p. 631-641
Keywords [en]
Plastic deformation, Modelling, Machining, Energy consumption, Machining feature
National Category
Applied Mechanics
Identifiers
URN: urn:nbn:se:kth:diva-226195DOI: 10.1007/s00170-017-1521-5ISI: 000428797500050Scopus ID: 2-s2.0-85040954410OAI: oai:DiVA.org:kth-226195DiVA, id: diva2:1207147
Note

QC 20180518

Available from: 2018-05-18 Created: 2018-05-18 Last updated: 2018-05-18Bibliographically approved

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Wang, LihuiJi, Wei

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