Optimization and control of the new generation fuel system (NGFS) manufacturing process and the development of novel high pressure plastic fuel tank for hybrid systems

下一代燃料系统（NGFS）工艺是一种汽车油箱制造技术， 挤出吹塑和热成型的最佳属性。这项技术的主要重点是克服 与当前制造技术有关的环境和功能问题的限制 由于越来越严格的环境法规和新的汽车燃料系统规格的混合动力 车辆. 该项目力求找到创新的解决方案，使用材料知识相结合，预测解决方案，以指导 设计、优化和具有成本效益的制造以及基于市场分析的目标产品开发-高 压牧！啊！塑料油箱。!在这个项目中，我们建议开发和优化的建模和控制 Kautex NGFS工艺，以使其适合以具有竞争力的成本大规模生产汽车燃料箱。 这一新工艺对于考特斯等汽车燃料供应商来说非常重要，因为它具有减少碳氢化合物的潜力。 排放和其灵活性，以包括内部功能组件在形成过程中。 主要目标是能够预测新储罐设计的结果，并充分控制过程， 大批量生产，而无需使用昂贵的试错实验方法。通过行使 开发预测工具，将更好地了解制造过程的主要特征， 因此，我们将能够更好地模拟其动力学，并改进/优化NGFS工艺以进行大规模生产。

The Next Generation Fuel System (NGFS) process is a automotive tank manufacturing technology that combines the best attributes of both extrusion blow molding and thermoforming. The primary focus of this technology is to overcome limitations associated with current manufacturing technologies with respect to environmental and functional concerns due to increasingly stringent environmental regulations and new automotive fuel system specifications for Hybrid vehicles. This project strives to find innovative solutions using a combination material knowledge, predictive solutions to guide design, optimized and cost-effective manufacturing, and targeted product development based on market analysis - High Pressure Mu!ti-!ayer Plastic Fuel Tank. !n this project, we propose to develop and optimize the modeling and control of the Kautex NGFS process in order to make it suitable for mass production of automotive fuel tanks at a competitive cost. This new process is important for automotive fuel suppliers like Kautex because of its potential to reduce hydrocarbon emissions and its flexibility to include internal functional components during the forming process. The main goal is to be able to predict the outcome of a new tank design and to control the process sufficiently well for high-volume production without having to use expensive trial-and-error experimental methods. Through the exercise of developing predictive tools, the manufacturing process will be better understood in terms of its main characteristics, and therefore we will be able to better model its dynamics, and improve/optimize the NGFS process for mass production.