Abstract
Achieving lightweight construction through only material substitution does not realize the full potential of producing a lightweight material, hence, it is no longer sufficient. Weight-saving goals are best achieved through additional function integration. In order to implement this premise for mass production, a manufacturing process for joining and forming hybrid laminates using a new tool concept is presented. All materials used are widely producible and processable. The manufactured cover of an automotive center console serves to demonstrate a human interface device with impact detection and action execution. This is only possible through a machine learning system, which is implemented on a small—and thus space- and energy-saving—embedded system. The measurement results confirm the objective and show that localization was sufficiently accurate.
Highlights
Laminates made of different materials, such as plastic and metal, are referred to as hybrid laminates
Reinforced Epoxy), a glass fiber reinforced epoxy resin aluminum foil laminate, which is the result of further development of the oldest known hybrid laminate, ARALL
2018, 8, 1261 (Figure 1, label 1), the starting materials are blended into a piezoceramic first subprocess thermoplastic compound and extruded as a thin foil, which forms the active component of the hybrid laminate
Summary
Laminates made of different materials, such as plastic and metal, are referred to as hybrid laminates. The combination of metal sheets with fiber reinforced plastics (FRPs) results in completely new property profiles, which are characterized by low weight combined with high specific rigidity and strength. This enables high degrees of lightweight construction. (carbon fiber reinforced polyetheretherketone titanium laminate) [2] Another approach to decreasing the weight is the integration of additional functions in structural components. The efficient and large-scale production of hybrid laminates with large-area integration of sensors for detection and localization of impacts and deformations in hybrid sheet metal structural components is not yet available. One field of application for hybrid laminates is represented by impact detection In this field of application, three main algorithm approaches have emerged.
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