Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/5519
Title: A model for predicting theoretical process energy consumption of rotational parts using STEP AP224 features
Authors: Uluer, Muhtar Ural
Ünver, Hakkı Özgür
Akkuş, K.
Kılıç, Sadık Engin
Keywords: Carbon footprint
Energy efficient manufacturing
Process energy prediction
Issue Date: 2013
Publisher: Springer Berlin Heidelberg
Source: 20th CIRP International Conference on Life Cycle Engineering, LCE 2013, 17 April 2013 through 19 April 2013, , 111373
Abstract: Energy efficiency in manufacturing has become a key concern due to the increased awareness of the adverse effects of global warming. First step for increasing energy efficiency is to quantify the energy consumed for manufacturing processes. This study presents a prediction model for the theoretical energy that is consumed during the manufacturing processes of a rotational part and resulting CO2 release. Theoretical energy is the tool tip energy required to remove the given volume of chip. Prediction model is based on the volume removed for each STEP AP224 feature and the specific cutting energy for the given material.
URI: https://doi.org/10.1007/978-981-4451-48-2_23
https://hdl.handle.net/20.500.11851/5519
ISBN: 9789814451475
Appears in Collections:Makine Mühendisliği Bölümü / Department of Mechanical Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

Show full item record

CORE Recommender

SCOPUSTM   
Citations

9
checked on Sep 23, 2022

Page view(s)

24
checked on Dec 26, 2022

Google ScholarTM

Check

Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.