دانلود کتاب،مقاله،جزوه و نرم افزار مهندسی مواد

کلیه منابع مورد نیاز دانشجویان و مهندسین مواد (متالورژی ، سرامیک ، جوش ، خوردگی ، نانو و بایومواد)

دانلود کتاب،مقاله،جزوه و نرم افزار مهندسی مواد

کلیه منابع مورد نیاز دانشجویان و مهندسین مواد (متالورژی ، سرامیک ، جوش ، خوردگی ، نانو و بایومواد)

بافت‌های مقاوم در برابر شکست پلی پروپیلن تقویت‌شده با الیاف بلند

An integral design and manufacturing concept for crash resistant

textile and long-fibre reinforced polypropylene structural components

یک طراحی انتگرالی و ایده‌ی تولید برای بافت‌های مقاوم در برابر شکست

و ترکیبات ساختاری پلی پروپیلن تقویت‌شده با الیاف بلند

ABSTRACT

For the design of crash resistant structures for automotive applications, mainly metallic materials are currently considered. However, the advanced specific energy absorption capacity and a high lightweight potential qualifies fiber and textile reinforced thermoplastic composites for such components. With a load adapted material design as well as an efficient manufacturing concept these properties can be exploited to a full extend. A seat pan is chosen as an exemplary structure to illustrate the four main aspects of the investigations: evaluation of glass fiber polypropylene composite configurations; development of a manufacturing and process chain; crash and impact experiments on structural level and numerical modelling strategy. Hybrid yarn based textiles, such as a commercially available 2/2-twill fabric and novel multi-layered flat bed weft-knitted fabrics have been considered to be combined with a long-fibre reinforced thermoplastic material (LFT, cutting length of 25 mm) for complexly loaded sections like ribbings. A special emphasis is set on a similar to mass-production manufacturing process. A fully automated integral hot pressing process has been developed, where an automated handling system places the conglomerate of extruded LFT-material and preheated hybrid yarn textile in a fast-stroke press, achieving process cycles of 45 s. Finally, the structural evaluation under crash loading conditions is compared against numerical results


 

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