Research on Charging Combination Based on Batch Weight Fit Rule for Energy Saving in Forging

As a traditional high energy-consuming industry, the forging industry consumes a lot of energy. The activity consuming the highest energy during forging process is the heating. The problem regarding how to separate workpieces with the same holding temperature and holding time and combine them for ch...

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Bibliographic Details
Published inMathematical problems in engineering Vol. 2015; no. 2015; pp. 1 - 9
Main Authors Feng, Gu, Yifei, Tong, Haixing, Lu, Baiqing, Zhu, Yong, Xia
Format Journal Article
LanguageEnglish
Published Cairo, Egypt Hindawi Publishing Corporation 01.01.2015
Hindawi Limited
Subjects
Charging
Energy
Energy conservation
Energy consumption
Engineering
Forging
Genetic algorithms
Heating
Mathematical models
Optimization
Packing problem
Scheduling
Workpieces
China
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Summary:As a traditional high energy-consuming industry, the forging industry consumes a lot of energy. The activity consuming the highest energy during forging process is the heating. The problem regarding how to separate workpieces with the same holding temperature and holding time and combine them for charging in forging was analyzed and a model based on batch weight fit rule for optimizing the charging combination with the goal of energy saving was proposed. A genetic algorithm was adopted to optimize and solve the model in order to reduce energy consumption in forging. In addition, an instance was given to prove the effectiveness of the proposed model.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:1024-123X
1563-5147
DOI:10.1155/2015/531756