Energy modeling and efficiency analysis of aluminum die-casting processes

被引：12

作者：

He, Keyan ^{[1
]}

Tang, Renzhong ^{[1
]}

Jin, Mingzhou ^{[1
,2
]}

Cao, Yanlong ^{[1
]}

Nimbalkar, Sachin U. ^{[2
,3
]}

机构：

[1] Zhejiang Univ, Sch Mech Engn, State Key Lab Fluid Power & Mechatron Syst, Hangzhou 310027, Zhejiang, Peoples R China

[2] Univ Tennessee, Dept Ind & Syst Engn, Knoxville, TN USA

[3] Oak Ridge Natl Lab, Energy & Transportat Sci Div, Oak Ridge, TN USA

来源：

ENERGY EFFICIENCY | 2019年 / 12卷 / 05期

基金：

中国国家自然科学基金;

关键词：

Aluminum die-casting process; Energy consumption modeling; Data acquisition; Energy efficiency analysis; CONSUMPTION; FOUNDRIES; BARRIERS; IMPACT; TOOL;

D O I：

10.1007/s12053-018-9730-9

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

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.

引用

页码：1167 / 1182

页数：16

共 36 条

[1] Impact of energy efficiency on computer numerically controlled machining [J].