锻压技术

360 MN挤压机组液压站注油系统节能改进

英文标题：Energy-saving improvement of oil injection system in hydraulic station for 360 MN extrusion press

作者：孙浩雷丙旺陈亮董伍杰王瑞波

分类号：TH137

出版年,卷(期):页码：2025,50(3):181-188

摘要：

针对现有360 MN挤压机能耗高、能量利用率低的问题，提出降低液压站注油系统初始压力的节能改进措施。基于挤压机设备组成特点和挤压加工工艺特点，建立了挤压机成形过程的能量流动模型，分析了能量传递过程的耗损机理，发现装机功率与负载需求功率不匹配以及能量传输效率低是挤压机能耗高的主要原因，提高匹配效率是液压系统节能降耗最有效的办法。利用机器学习的方法预测最优压力控制参数，同时结合设备运行过程特点，优化了注油系统初始压力值。将模型计算的结果应用于挤压机注油系统，并对方案的执行效果和节能情况进行了分析，改进后待机功率由736.83 kW降至497.42 kW，降幅约为32.5%。研究结果对于降低挤压机能耗及挤压设备的升级改造具有指导意义。

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.

基金项目：

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

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