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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

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
新一代燃油系统(NGFS)制造工艺的优化与控制以及混合动力系统新型高压塑料油箱的开发
批准号:
417651-2011
负责人:
Hatzikiriakos, SavvasG
金额:
$13.64万
依托单位国家:
加拿大
项目类别:
Automotive Partnership Canada Project
财政年份:
2015
资助国家:
加拿大
项目状态:
已结题
起止时间:
2015-01-01 至 2016-12-31

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中文摘要
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英文摘要
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.
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