Technologies for economical and functional lightweight design
Technologies for economical and functional lightweight design
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经济实用的轻量化设计技术
DOI：
10.1007/978-3-662-58206-0
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发表时间：
2019
期刊：
影响因子：
--
通讯作者：
H. Kim
中科院分区：
文献类型：
--
作者：
H. Kim
树脂传递模塑（RTM）工艺因其工业化、自动化、价格低廉而成为大规模生产连续纤维增强复合材料结构的首选。然而，该工艺目前仅限于整体结构。低成本但功能强大的泡沫材料似乎与 RTM 工艺的制造条件不兼容。现有的测量方法无法充分分析加工过程中的泡沫行为，因此需要进行昂贵的初步制造测试。在航空航天应用中，高性能泡沫材料的使用由于价格昂贵而无法替代。为了能够使用低成本的泡沫材料，材料和工艺的匹配非常重要。为此，德国航天中心复合结构和自适应系统研究所开发了一种基于超声波传感器的简单但高效的方法，并获得了专利。泡沫分析超声系统 (FAUSt) 首次能够在实际制造条件下对泡沫材料进行量化属性描述。无需接触样品，即可确定泡沫材料随温度和压力变化的时间依赖性变形。除了材料表征本身之外，测量结果主要有利于开发高效、适合材料的浸渍策略。还支持理想加工和质量保证的工艺参数识别。此外，这些数据还可用于早期开发过程中的数值模拟方法。
The Resin Transfer Molding (RTM) process is the first choice for large-scale production of continuous fiber reinforced composite structures due to its capabilities of industrialization and automation at low price. However, the process is currently limited to monolithic structures. Low-cost and yet powerful foam materials do not seem to be compatible with the manufacturing conditions of the RTM process. Available measuring methods do not sufficiently analyze the foam behavior during processing, so that expensive preliminary manufacturing tests are necessary. The use of high-performance foam material, as known in aerospace applications, is not an alternative due to their high price.In order to enable the use of low-cost foam materials, it is important to match material and process. For this reason, a simple but highly efficient method based on ultrasonic sensors has been developed and patented by the Institute of Composite Structures and Adaptive Systems at DLR. The Foam Analysis Ultrasound System (FAUSt) enables a quantified property description of foam materials under realistic manufacturing conditions for the first time. Without contact to the sample the time-dependent deformation of foam materials depending on temperature and pressure can be determined. In addition to the material characterization itself, the measurement results benefit primarily the development of efficient, material-adapted impregnation strategies. Also process parameter identification for ideal processing and quality assurance is supported. Furthermore, the data can be used for numerical simulation methods in the early development process.