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Title: Energy modeling and efficiency analysis of aluminum die-casting processes

Abstract

Energy modeling and efficiency analysis are considered the foundation of manufacturing process optimization to improve quality and efficiency and reduce energy consumption and carbon emissions during aluminum die-casting processes. This paper proposed an energy modeling method to connect gas and electric energy consumption with production rate of aluminum die-casting processes based on data collected at workshops with various combination of machines and products. The detailed modeling process involved the development of a data-acquiring system and the comparison of various kinds of nonlinear regression methods. The resulting models were validated with actual production data and were further used to improve production scheduling. Furthermore, it was found that if the modeling results are reasonably used and production is accordingly well-scheduled, 10 to 15% of energy savings could be realized without sacrificing profits.

Authors:
 [1];  [1]; ORCiD logo [2];  [1]; ORCiD logo [3]
  1. Zhejiang Univ., Hangzhou (China)
  2. Zhejiang Univ., Hangzhou (China); The Univ. of Tennessee, Knoxville, TN (United States)
  3. The Univ. of Tennessee, Knoxville, TN (United States); Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1513409
Grant/Contract Number:  
AC05-00OR22725
Resource Type:
Accepted Manuscript
Journal Name:
Energy Efficiency
Additional Journal Information:
Journal Name: Energy Efficiency; Journal ID: ISSN 1570-646X
Publisher:
Springer
Country of Publication:
United States
Language:
English
Subject:
Aluminum die-casting process; Energy consumption modeling; Data acquisition; Energy efficiency analysis

Citation Formats

He, Keyan, Tang, Renzhong, Jin, Mingzhou, Cao, Yanlong, and Nimbalkar, Sachin U. Energy modeling and efficiency analysis of aluminum die-casting processes. United States: N. p., 2018. Web. doi:10.1007/s12053-018-9730-9.
He, Keyan, Tang, Renzhong, Jin, Mingzhou, Cao, Yanlong, & Nimbalkar, Sachin U. Energy modeling and efficiency analysis of aluminum die-casting processes. United States. doi:10.1007/s12053-018-9730-9.
He, Keyan, Tang, Renzhong, Jin, Mingzhou, Cao, Yanlong, and Nimbalkar, Sachin U. Fri . "Energy modeling and efficiency analysis of aluminum die-casting processes". United States. doi:10.1007/s12053-018-9730-9. https://www.osti.gov/servlets/purl/1513409.
@article{osti_1513409,
title = {Energy modeling and efficiency analysis of aluminum die-casting processes},
author = {He, Keyan and Tang, Renzhong and Jin, Mingzhou and Cao, Yanlong and Nimbalkar, Sachin U.},
abstractNote = {Energy modeling and efficiency analysis are considered the foundation of manufacturing process optimization to improve quality and efficiency and reduce energy consumption and carbon emissions during aluminum die-casting processes. This paper proposed an energy modeling method to connect gas and electric energy consumption with production rate of aluminum die-casting processes based on data collected at workshops with various combination of machines and products. The detailed modeling process involved the development of a data-acquiring system and the comparison of various kinds of nonlinear regression methods. The resulting models were validated with actual production data and were further used to improve production scheduling. Furthermore, it was found that if the modeling results are reasonably used and production is accordingly well-scheduled, 10 to 15% of energy savings could be realized without sacrificing profits.},
doi = {10.1007/s12053-018-9730-9},
journal = {Energy Efficiency},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {9}
}

Journal Article:
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