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. 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.
Original language | English |
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Pages (from-to) | 1167-1182 |
Number of pages | 16 |
Journal | Energy Efficiency |
Volume | 12 |
Issue number | 5 |
DOIs | |
State | Published - Jun 15 2019 |
Funding
National Natural Science Foundation of China (Grant No. U1501248) and Nantaihu Innovation Program of Huzhou Zhejiang China.
Keywords
- Aluminum die-casting process
- Data acquisition
- Energy consumption modeling
- Energy efficiency analysis