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Process chain based data capture for a flexible and reliable life cycle inventory of a glass fiber-reinforced thermoplastic lightweight structure

机译:基于过程链的数据捕获,可灵活,可靠地对玻璃纤维增​​强的热塑性轻质结构进行生命周期清单管理

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In recent years, fiber-reinforced polymers (FRP) found their way into automotive serial production. This was motivated by vehicle weight reduction resulting in decreased fuel consumption in the use phase. Due to the complexity of FRP manufacturing processes, only few data for life cycle inventory (LCI) are available in databases. Furthermore, a widespread range of LCA results can be attained in dependence of the actual process parameters and part design. In order to keep up with the composite technology development, a process chain based data capturing is required taking into account deviations from the target state. This contribution therefore suggests the combination of LCI with process chain analysis. In the FOREL project FuPro, an innovative process chain for manufacturing of functionalized hollow profiles made of glass fiber-reinforced thermoplastics was developed. It comprises several steps, which cannot be evaluated using state-of-the-art databases. Hence, technologically and ecologically relevant data were captured. For this purpose, a gate-to-gate perspective was used. The process steps of plasma treatment and IR heating are selected. The presented course of action provides a resilient and flexible basis for LCA, which prospectively allows a goal-oriented multi-criteria analysis and derivation of best practice process management.
机译:近年来,纤维增强聚合物(FRP)进入了汽车批量生产。这是由于减轻车辆的重量导致在使用阶段减少燃油消耗。由于FRP制造过程的复杂性,数据库中仅有很少的生命周期清单(LCI)数据。此外,可以根据实际工艺参数和零件设计获得广泛的LCA结果。为了跟上复合技术的发展,需要考虑与目标状态之间的偏差,进行基于过程链的数据捕获。因此,该贡献表明LCI与过程链分析相结合。在FOREL项目FuPro中,开发了一种创新的工艺链,用于制造由玻璃纤维增​​强的热塑性塑料制成的功能化空心型材。它包括几个步骤,这些步骤无法使用最新的数据库进行评估。因此,捕获了与技术和生态相关的数据。为此,使用了门到门透视图。选择等离子体处理和IR加热的处理步骤。所提出的行动方针为LCA提供了弹性和灵活的基础,从而有望进行面向目标的多标准分析和最佳实践过程管理的推导。

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