A methodology to estimate power consumption of numerical control machining

Lei Zhang; Pingyu Jiang; Peihua Gu; Weidong Li

doi:10.1109/ISAM.2013.6643531

A methodology to estimate power consumption of numerical control machining

Lei Zhang
, Pingyu Jiang
, Peihua Gu
, Weidong Li

School of Mechanical Engineering

Xi'an Jiaotong University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Since the energy conservation is a research focus and numerical control machining is prevalent, this study proposed a methodology to predict the energy consumption of a NC machining process based on NC code analyzing and virtual cutting simulation. The energy characterization model was testified for estimating power consumed by a NC machining on a milling center and the max error is 11.3%, which proves this method is promising to estimate energy consumption of a NC program.

Original language	English
Title of host publication	Proceedings - 2013 IEEE International Symposium on Assembly and Manufacturing, ISAM 2013
Pages	219-221
Number of pages	3
DOIs	https://doi.org/10.1109/ISAM.2013.6643531
State	Published - 2013
Event	2013 IEEE International Symposium on Assembly and Manufacturing, ISAM 2013 - Xi'an, China Duration: 30 Jul 2013 → 2 Aug 2013

Publication series

Name	Proceedings - 2013 IEEE International Symposium on Assembly and Manufacturing, ISAM 2013

Conference

Conference	2013 IEEE International Symposium on Assembly and Manufacturing, ISAM 2013
Country/Territory	China
City	Xi'an
Period	30/07/13 → 2/08/13

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Numerical control
Power consumption
Virtual cutting simulation

Access to Document

10.1109/ISAM.2013.6643531

Cite this

Zhang, L., Jiang, P., Gu, P., & Li, W. (2013). A methodology to estimate power consumption of numerical control machining. In Proceedings - 2013 IEEE International Symposium on Assembly and Manufacturing, ISAM 2013 (pp. 219-221). Article 6643531 (Proceedings - 2013 IEEE International Symposium on Assembly and Manufacturing, ISAM 2013). https://doi.org/10.1109/ISAM.2013.6643531

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title = "A methodology to estimate power consumption of numerical control machining",

abstract = "Since the energy conservation is a research focus and numerical control machining is prevalent, this study proposed a methodology to predict the energy consumption of a NC machining process based on NC code analyzing and virtual cutting simulation. The energy characterization model was testified for estimating power consumed by a NC machining on a milling center and the max error is 11.3\%, which proves this method is promising to estimate energy consumption of a NC program.",

keywords = "Numerical control, Power consumption, Virtual cutting simulation",

author = "Lei Zhang and Pingyu Jiang and Peihua Gu and Weidong Li",

year = "2013",

doi = "10.1109/ISAM.2013.6643531",

language = "英语",

isbn = "9781479916573",

series = "Proceedings - 2013 IEEE International Symposium on Assembly and Manufacturing, ISAM 2013",

pages = "219--221",

booktitle = "Proceedings - 2013 IEEE International Symposium on Assembly and Manufacturing, ISAM 2013",

note = "2013 IEEE International Symposium on Assembly and Manufacturing, ISAM 2013 ; Conference date: 30-07-2013 Through 02-08-2013",

}

Zhang, L, Jiang, P, Gu, P & Li, W 2013, A methodology to estimate power consumption of numerical control machining. in Proceedings - 2013 IEEE International Symposium on Assembly and Manufacturing, ISAM 2013., 6643531, Proceedings - 2013 IEEE International Symposium on Assembly and Manufacturing, ISAM 2013, pp. 219-221, 2013 IEEE International Symposium on Assembly and Manufacturing, ISAM 2013, Xi'an, China, 30/07/13. https://doi.org/10.1109/ISAM.2013.6643531

A methodology to estimate power consumption of numerical control machining. / Zhang, Lei; Jiang, Pingyu; Gu, Peihua et al.
Proceedings - 2013 IEEE International Symposium on Assembly and Manufacturing, ISAM 2013. 2013. p. 219-221 6643531 (Proceedings - 2013 IEEE International Symposium on Assembly and Manufacturing, ISAM 2013).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A methodology to estimate power consumption of numerical control machining

AU - Zhang, Lei

AU - Jiang, Pingyu

AU - Gu, Peihua

AU - Li, Weidong

PY - 2013

Y1 - 2013

N2 - Since the energy conservation is a research focus and numerical control machining is prevalent, this study proposed a methodology to predict the energy consumption of a NC machining process based on NC code analyzing and virtual cutting simulation. The energy characterization model was testified for estimating power consumed by a NC machining on a milling center and the max error is 11.3%, which proves this method is promising to estimate energy consumption of a NC program.

AB - Since the energy conservation is a research focus and numerical control machining is prevalent, this study proposed a methodology to predict the energy consumption of a NC machining process based on NC code analyzing and virtual cutting simulation. The energy characterization model was testified for estimating power consumed by a NC machining on a milling center and the max error is 11.3%, which proves this method is promising to estimate energy consumption of a NC program.

KW - Numerical control

KW - Power consumption

KW - Virtual cutting simulation

UR - https://www.scopus.com/pages/publications/84890809890

U2 - 10.1109/ISAM.2013.6643531

DO - 10.1109/ISAM.2013.6643531

M3 - 会议稿件

AN - SCOPUS:84890809890

SN - 9781479916573

T3 - Proceedings - 2013 IEEE International Symposium on Assembly and Manufacturing, ISAM 2013

SP - 219

EP - 221

BT - Proceedings - 2013 IEEE International Symposium on Assembly and Manufacturing, ISAM 2013

T2 - 2013 IEEE International Symposium on Assembly and Manufacturing, ISAM 2013

Y2 - 30 July 2013 through 2 August 2013

ER -

A methodology to estimate power consumption of numerical control machining

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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