Energy Consumption Evaluation in Stamping Workshops via a Discrete Event Simulation-Based Approach

被引:0
作者
Wei Xiong
Haihong Huang
Lei Li
Lei Gan
Libin Zhu
Zhifeng Liu
机构
[1] Hefei University of Technology,Key Laboratory of Green Design and Manufacturing of Mechanical Industry
[2] Hefei University of Technology,School of Mechanical Engineering
来源
International Journal of Precision Engineering and Manufacturing-Green Technology | 2022年 / 9卷
关键词
Discrete event simulation; Energy consumption evaluation; Stamping workshop; Sustainable manufacturing;
D O I
暂无
中图分类号
学科分类号
摘要
Stamping is employed in a wide range of applications in industry, which is composed of discrete flow energy-intensive processes. Durations of stamping activities are much shorter than that of mold changing and transportation, which makes energy consumption in stamping workshops greatly affected by the production scheme and the proportion of transportation volume. Different from machining that has been widely discussed, there is less research on energy saving in stamping workshops. This paper aims to evaluate the energy consumption of stamping on the workshop level. A theoretical model and a discrete event simulation model were developed based on energy flow and material flow in the workshop. The theoretical model was used to calculate each component of energy consumption based on production-related data. The simulation model was used to predict the overall energy required in the workshop when subjected to changes in its production conditions. Impacts of influence factors, including machine failure rate, proportion of transportation volume, and production scheme on energy consumption, makespan, and machine utilization rates, were studied to find opportunities for energy reduction and production efficiency improvement. Finally, a case study of a stamping workshop for forklifts validated the proposed approach, and  optimization measures were suggested, implemented, and verified. Results have found that under the same production scheme (suppose each press has the same failure rate), the balance between energy use and makespan was achieved when the proportion of transportation volume was 1/2. This simulation-based approach provides a useful tool for evaluating and reducing energy consumption and helps operators to perform energy-saving actions in stamping workshops.
引用
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页码:1543 / 1562
页数:19
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[1]  
Gao M(2017)Carbon emission analysis and reduction for stamping process chain The International Journal of Advanced Manufacturing Technology 91 667-678
[2]  
Huang H(2020)Sustainability-focused multi-objective optimization of a turning process International Journal of Precision Engineering and Manufacturing-Green Technology 7 1009-1018
[3]  
Li X(2021)Energy modeling and visualization analysis method of drilling processes in the manufacturing industry Energy 228 12-29
[4]  
Liu Z(2017)Energy efficiency of milling machining: component modeling and online optimization of cutting parameters Journal of Cleaner Production 161 226-232
[5]  
La Fé Perdomo I(2017)Energy consumption model and energy efficiency evaluation for CNC continuous generating grinding machine tools International Journal of Sustainable Engineering 10 0601006-127
[6]  
Quiza R(2018)Flexible job-shop scheduling for reduced manufacturing carbon footprint Journal of Manufacturing Science and Engineering 140 113-304
[7]  
Haeseldonckx D(2017)Pareto fronts of machining parameters for trade-off among energy consumption, cutting force and processing time International Journal of Production Economics 185 296-365
[8]  
Rivas M(2020)Dynamic characteristics and energy consumption modelling of machine tools based on bond graph theory Energy 212 349-135
[9]  
Jia S(2018)Modeling, analysis, and improvement of integrated productivity and energy consumption in a serial manufacturing system Journal of Cleaner Production 199 116-2683
[10]  
Cai W(2019)Improving energy efficiency in discrete parts manufacturing system using an ultra-flexible job shop scheduling algorithm International Journal of Precision Engineering and Manufacturing-Green Technology 6 2673-87