首页> 外文会议>Green Factory Bavaria Colloquium >Simulation Based Studies of Energy Saving Measures in the Aluminum Tool and Die Casting Industry
【24h】

Simulation Based Studies of Energy Saving Measures in the Aluminum Tool and Die Casting Industry

机译:基于铝工具和压铸工业的节能措施研究

获取原文

摘要

This study, which focuses on analyzing aluminum melting and die casting procedures is part of the Smart Melting project in the research network Green Factory Bavaria (GFB). The aim of the present research project is to investigate these procedures and to suggest measures to increase the overall energy efficiency. The analysis starts with the capture of the operating structure, the relations between supply and consumption of liquid aluminum and an evaluation of aluminum furnaces themselves. The study concentrates on shaft furnaces whose specific energy consumption is 25% higher than stated by the manufacturers. At the same time the melting capacity of the furnaces ranges at the lower end according to the manufacturer's data. The reason for this deviation is a discontinuous operation mode due to demand fluctuations. Consequently the flue gas has still a high temperature which means a high waste of energy. Based on these facts the furnace charge and operation mode have to be optimized and the high temperature flue gas can be used to preheat the pig aluminum. A numerical model of aluminum furnaces is applied to investigate this optimization potential. This model can simulate either a single aluminum furnace (case 1) or a furnace integrated in the entire manufacturing plant (case 2). The advantage of case 1 is the furnace's operation on its most efficient point because there is no influence of the die casting process. In case 1 an improvement of the furnace charge leads to a higher capacity utilization and therefore to a reduction of 30% specific energy consumption and a 50% increase of melting capacity. Whereas in case 2 the simulation of the entire manufacturing plant results in a rise of 25% melting capacity and a 16% decrease of specific energy consumption. The simulation proved increasing energy efficiency due to preheating the pig aluminum in both cases.
机译:本研究专注于分析铝熔化和压铸手术的研究是研究网络绿色工厂巴伐利亚(GFB)中智能熔化项目的一部分。本研究项目的目的是调查这些程序,并建议增加整体能源效率的措施。该分析从捕获的操作结构开始,液体铝的供应和消耗与铝炉本身的评估。该研究专注于轴炉上,其特定能耗比制造商所示的25%。同时,炉子的熔化容量根据制造商的数据在下端处于下端。由于需求波动,这种偏差的原因是不连续的操作模式。因此,烟道气仍然是高温,这意味着高能量浪费。基于这些事实,必须优化炉充电和操作模式,高温烟道气可用于预热猪铝。应用铝炉的数值模型来研究这种优化电位。该模型可以模拟单个铝制炉(壳体1)或集成在整个制造工厂(壳体2)中的炉子。壳体1的优点是炉子在最有效点上的操作,因为压铸过程没有影响。在壳体1中,炉子电荷的改善导致较高的容量利用率,因此降低了30%的特定能耗和熔化能力的50%增加了50%。然而,在2例2中,整个制造工厂的仿真导致熔化容量的25%的升高,比能耗降低了16%。仿真在两种情况下,由于预热猪铝而导致的能效。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号