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Title: Modelling and optimization of energy consumption for feature based milling
Authors: Altıntas, Resul Sercan
Kahya, Müge
Ünver, Hakkı Özgür
Keywords: Energy efficiency
Feature based milling
Green manufacturing
Response surface methodology
Face centered composite design
Issue Date: Oct-2016
Publisher: Springer London Ltd
Source: Altıntaş, R. S., Kahya, M., & Ünver, H. Ö. (2016). Modelling and optimization of energy consumption for feature based milling. The International Journal of Advanced Manufacturing Technology, 86(9-12), 3345-3363.
Abstract: Energy consumption is increasing along with the world's population and industrialization level; thus, energy and resource efficiency in manufacturing is of vital importance. In order to increase energy and resource efficiency, the amount of consumed energy must first be accurately quantified for each manufacturing process. Milling is one of the most common machining operations. In this study, a prediction model for estimating theoretical energy consumption involved in milling of prismatic parts is presented. The prediction model relies on the STEP Application Protocol 224 features for volumetric information and material properties of prismatic parts. Verification tests exemplify how engineers can utilize the presented prediction model and approach to measuring machine tool energy consumption. Test results show that the prediction model runs with 5 % accuracy. Also, effect of cutter path for prismatic milling is investigated for certain features. Furthermore, response surface methodology is utilized in order to determine optimal milling parameters of slot feature in order to minimize energy consumption when machining AISI 304 stainless steel.
ISSN: 0268-3768
Appears in Collections:Makine Mühendisliği Bölümü / Department of Mechanical Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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