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

Journal Article · · Energy Efficiency
 [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)
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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. Our report introduced 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 confirmed with actual production data and were also 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.

Research Organization:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Organization:
USDOE; National Natural Science Foundation of China (NSFC)
Grant/Contract Number:
AC05-00OR22725
OSTI ID:
1513409
Journal Information:
Energy Efficiency, Vol. 12, Issue 5; ISSN 1570-646X
Publisher:
SpringerCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 11 works
Citation information provided by
Web of Science

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Figures / Tables (13)

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Related Subjects

42 ENGINEERING
Aluminum die-casting process
Energy consumption modeling
Data acquisition
Energy efficiency analysis