High temperature furnace with controlled atmosphere, data acquisition, and material characterization

奥格斯堡大学（University of Augsburg）材料资源管理研究所（MRM）材料工程主席的一个主要工作重点是加工良好的陶瓷，主要是具有精确定义和控制工艺参数的非氧化物陶瓷基复合材料。在热加工过程中，应在线测量和检测所有参数和产生的材料性能，以评估工艺条件对材料性能的影响。对于这种方法，需要一个配备传感器和分析设备的高温熔炉。所获得的数据将用于高温处理的控制，并与复合材料的机械和物理性能相关联。基于工艺性能相关性，将精确定义加工以优化制造材料的性能。此外，传感器数据将用于数字材料开发，以便根据原材料和工艺参数预测材料和组件的性能。所有实验数据，特别是表征材料成分的在线数据将用于数字材料开发。目的是根据原料和工艺参数预测最终复合材料的性能。如果这是可能的，那么，另一方面，逆向材料工程可以执行。此外，这种基于传感器的智能高温加工的科学方法旨在实现复合材料的资源高效制造。将纤维增强陶瓷的性能与生态影响联系起来，评价其可持续性将成为可能。迄今为止，陶瓷基复合材料的研究主要集中在性能上。有了这种方法，就有可能生产出资源高效的材料，这些材料的应用相关性能、使用寿命、可回收性、能源和资源消耗都被调整到最佳状态。这种智能制造和相应的加工参数属性关联，可以从资源效率的角度评估陶瓷基复合材料从材料合成到再利用和回收的完整加工链。

One main focus of the chair of Materials Engineering at the institute of Materials Resource Management (MRM) at University of Augsburg is the processing of well adopted ceramics, mainly nonoxide ceramic matrix composites with precisely defined and controlled process parameters. During thermal processing all parameters and the resulting material properties shall be measured and detected online in order to evaluate the influence of process conditions on the material properties. For this approach a high temperature furnace is necessary which is well equipped with sensors and analytics. The acquired data will be used for control of the high temperature treatment and also correlated with the mechanical and physical properties of the composites. Based on the process property correlation the processing will be accurately defined for optimized properties of the manufactured materials. Additionally, the sensor data will be used for the digital material development in order to predict the material and component properties based on raw materials and process parameters. All experimental data, especially the online data characterizing the material composition will be used for digital material development. Aim is the prediction of properties of the final composite dependent on raw materials and according process parameters. If this is possible then, on the other hand, reverse material engineering can be performed.Additionally, this scientific approach of a sensor based intelligent high temperature processing is aimed to the resource efficient manufacturing of composites. it will be possible to evaluate the sustainability of fiber reinforced ceramics with correlation of properties and ecological impact. So far ceramic matrix composites were manufactured with focus on best properties. With this approach it will be possible to produce resource efficient materials where application relevant properties, lifetime, recyclability, energy and resource consumption are adjusted to a total optimum.This intelligent manufacturing and the according processing parameter property correlation allows the evaluation of the complete processing chain of ceramic matrix composites from the material synthesis to reuse and recycling under resource efficient point of view.