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Title:Energy-saving improvement of oil injection system in hydraulic station for 360 MN extrusion press
Authors: Sun Hao Lei Bingwang Chen Liang Dong Wujie Wang Ruibo 
Unit: Special Steel Division Inner Mongolia North Heavy Industries Group Corp. Ltd. 
KeyWords: 360 MN extrusion press  hydraulic  oil injection system  initial pressure  machine learning  energy saving 
ClassificationCode:TH137
year,vol(issue):pagenumber:2025,50(3):181-188
Abstract:

 Aiming at the problems of high energy consumption and low energy utilization of the existing 360 MN extruder, the energy-saving measure was put forward by reducing the initial pressure of oil injection system for hydraulic station, and based on the characteristics of extruder equipment and extrusion process, the energy flow model for the forming process of extruder was established to analyze the loss mechanism of energy transfer process. Then, it was analyzed that the mismatch between installed power and load demand power and low energy transfer efficiency were the main reasons for the high energy consumption of extruder, and it was proposed that improving matching efficiency was the most effective way to save energy and reduce consumption in the hydraulic system. Furthermore, the machine learning method was used to predict the optimal pressure control parameters, and the initial pressure value of the oil injection system was optimized in combination with the characteristics of the equipment operation process. Finally, the results of the model calculation were applied to the oil injection system of extruder, and the execution effect and energy saving of the scheme were analyzed. The results show that after the improvement, the standby power is reduced from 736.83 kW to 497.42 kW, a decrease of about 32.5%. The research results have guiding significance for reducing the energy consumption of extruders and upgrading the extrusion equipment.

Funds:
AuthorIntro:
作者简介:孙浩(1982-),男,硕士,高级工程师 E-mail:btsh1982@163.com 通信作者:雷丙旺(1966-),男,博士,正高级工程师 E-mail:leibingwang@163.com
Reference:

 [1]冯缘,康向东,45 MN挤压机节能改造技术方案探讨[J].特钢技术,2023,29(1)55-58.


 


Feng Y, Kang X D. Discussion on energy saving improvements for 45 MN extrusion press[J]. Special Steel Technology, 2023,29(1):55-58.


 


[2]冼灿标,齐水冰, 孙友松, . 直驱泵控伺服液压机节能分析与试验研究[J].机床与液压,2014,42(5):45-48,115.


 


Xian C B, Qi S B, Sun Y S, et al. Analysis and experiment research on energysaving mechanism of direct drive pumpcontrolled servo hydraulic press[J]. Machine Tool & Hydraulics, 2014,42(5):45-48,115.


 


[3]Huang H H, Zou X, Li L, et al. Energysaving design method for hydraulic press drive system with multi motorpumps[J]. International Journal of Precision Engineering and ManufacturingGreen Technology,2019,6(2):223-234.


 


[4]韩泓,孟朝霞,乔凌霄. 大型挤压机节能控制系统的设计开发[J].锻压装备与制造技术,2019,54(5):50-52.


 


Han H,Meng Z X, Qiao L X. Design and development of energy saving control system for large extruder[J].China Metalforming Equipment & Manufacturing Technology, 2019,54(5):50-52.


 


[5]刘艳雄,韩森波,徐志成.基于负载敏感与势能回收系统的液压精冲机节能研究[J].液压与气动,2023,47(8):66-75.


 


Liu Y X, Han S B, Xu Z C. Research on energy saving of hydraulic fine blanking press based on load sensing and potential energy recovery system[J]. Chinese Hydraulics & Pneumatics, 2023, 47(8):66-75.


 


[6]陈柏金,张连华,马海军,.快速锻造液压机叠加供液节能技术[J].锻压技术,2023,48(6):199-203.


 


Chen B J, Zhang L H, Ma H J, et al. Superimposed liquid supply energysaving technology on fast forging hydraulic press[J]. Forging & Stamping Technology, 2023,48(6):199-203.


 


[7]印四华.考虑不确定性的挤压制造能耗特性分析与能效优化研究[D]. 广州:广东工业大学, 2022.


 


Yin S H. The Energy Consumption Characteristic Analysis and Energy Efficiency Optimization Study of Extrusion Manufacturing Considering Uncertainty[D]. GuangzhouGuangdong University of Technology, 2022.


 


[8]李宝卿,郭康,刘帅. 潘克改进型正弦直接驱动系统新进展[J].锻造与冲压,2021(1):36,38,40-41.


 


Li B Q,Guo K,Liu S. New development of modified sine direct drive system of pahnke[J]. Forging & Metalforming, 2021(1):36,38,40-41.


 


[9]颜笑鹏.快速锻造液压机高效节能传动技术研究[D]. 武汉:华中科技大学,2021.


 


Yan X P. Research on Highefficiency and Energysaving Transmission Technology of Fast Forging Hydraulic Press[D]. Wuhan:Huazhong University of Science and Technology,2021.


 


[10]Zhao K, Liu Z F, Yu S R, et al. Analytical energy dissipation in large and mediumsized hydraulic press[J]. Journal of Cleaner Production, 2015,103: 908-915.


 


[11]LeCun Y, Bengio Y, Hinton G. Deep learning[J]. Nature, 2015,521:436-444.


 


[12]韩力群. 人工神经网络理论、设计及应用[M]. 北京: 化学工业出版社, 2007.


 


Han L Q. Theory, Design and Application of Artificial Neural Network[M]. Beijing: Chemical Industry Press2007.

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