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10.30 Konrad Steiner - Fraunhofer ITWM.pdf

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1、Accelerating and Optimization of foam production using fast and accurate digital prediction toolsDr.Dariusz Niedziela,Dr.Konrad SteinerFraunhofer ITWMFlow-and Materialsimulation Process simulation toolSimulation of Reaction Injection Molding Processes Foaming simulation of various foams(PU,soft foam

2、,rigid foam)Simulation based design of foam moulds(placement or path of injection nozzles,position of venting,inclination angle)Process design of foaming processes for acoustic or thermal insulation components,sandwich panels,seats,battery packs,cooling units,.Process design of textile-reinforced PU

3、 foam lightweight structuresOutput quantities,that are predicted in PUR foam simulations:Flow pressure and velocityDistribution of temperatureDegree of polymerizationGas volume fraction,foam densityLocal mean pore size distribution PUR foam fraction and propagation of foam front05.12.2024 Fraunhofer

4、 ITWMSeite 2Agenda:What is actual possible with FOAM process simulation?Refrigerator housingHow easy is it to simulate realistic foam processes?Automated material parameter identification Accelerating of foam simulation to resolve small details?Battery packs What is actual possible with FOAM process

5、 simulation?Refrigerator housing05.12.2024 Fraunhofer ITWMSeite 4Injection positionvents position(red squares)05.12.2024 Fraunhofer ITWMSeite 5The foaming of refrigerator parts is a demanding process that requires optimization steps regarding various factors:injected mass,injection position,number o

6、f injection points,venting positions,foam characteristicsStarting conditionsInjection:3.5kg material over 5(s)per injection position Wall temperature:45C Injected material temperature:28 C Foam density 1208 kg/m Initial pressure 1 bar Cream time 2 sProcess simulation toolExample Refrigerator housing

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本文主要介绍了使用数字化预测工具加速和优化泡沫生产的工艺。关键点如下: 1. 泡沫模拟:可模拟多种泡沫(如PU、软泡沫、硬泡沫)的生产,以及泡沫模具的设计和泡沫工艺过程的设计。 2. 冷藏箱体案例:通过模拟优化了注射位置和通风口位置,提高了泡沫填充效果。 3. 材料参数自动化识别:通过简单的实验,自动化识别泡沫模型输入参数。 4. 加速泡沫模拟:针对电池包等含有细小结构的部件,采用有效多孔区域方法,大幅减少计算时间和内存需求。 - 电池包案例:使用多孔区域方法,将计算时间从36小时35分钟缩短至2小时56分钟,速度提升超过10倍。 5. 大规模问题计算:可处理包含数百个圆柱形电池单元的大型问题,实现合理时间内的模拟。 综上,数字化预测工具在泡沫生产中的应用显著提高了工艺效率和模拟精度。
"如何大幅提升泡沫模拟速度?" "电池包泡沫填充模拟难点何在?" "模拟真实泡沫过程有多简单?"
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