SmartFrame+ – Security for lightweight vehicles
SmartFrame+ – Safety for Lightweight Vehicles
Challenge: Combining Safety and Lightweight Design
Both motor-powered and muscle-powered mobility require means of transport that are lightweight and efficient. At the same time, they must guarantee a high degree of safety. In the “SmartFrame+” project, a smart³ research network worked on a solution to this conflict of objectives. Participants included a medium-sized sports equipment company, partners from the fields of driving simulation, signal processing, and injection molding, as well as two Fraunhofer Institutes and a university of art and design.
Added Value through Functional Integration
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Lightweight construction through integrated functions
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Detecting loads and damage with piezoceramic sensors
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Communicating safety-relevant information with integrated actuators
The goal was to equip future vehicles so that they “know” their own condition and warn of dangers. Sensors within the components are intended to detect hidden damage or route-related risks. Drivers receive warnings in good time and can adapt their driving style accordingly.
Smart Materials as the Key
Fiber-reinforced composites offer enormous potential for lightweight construction. This potential can be fully exploited by integrating smart materials. Functional materials such as piezoceramic sensors or actuators monitor the safety of the structures. To demonstrate these possibilities, the consortium developed several application examples and built test equipment and demonstrators.
The Bicycle as a Demonstration Object
The partners chose the bicycle for the leisure sector. It is a familiar object and allows for an easy evaluation of new concepts. The approach: the system should not just react to a crash, but prevent it. To do this, it signals impending limit loads in good time.
The concept is based on a very lightweight frame made of fiber-reinforced composite material. Piezo sensors detect loads that could lead to fractures. Actuators in the handlebar grips transmit vibration signals to the hands, thereby influencing the driving style in a safety-relevant manner. Simultaneously, the grip actuators can send navigation signals. In the event of theft, piezo actuators in the frame cause the system to vibrate, and a warning tone alerts the surroundings.
Setup of the Demonstrator
The demonstrator includes:
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a sensor-equipped lightweight frame,
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handlebars with active elements,
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a screen, and
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a shaker instead of a saddle.
Movement is simulated via a video animation and the load data of a selected route (e.g., Rennsteig). The video image and shaker profile are temporally coupled. If the system detects a danger based on sensor values, speed, or geodata, the piezo oscillators built into the grips provide a warning.
The grips are made of elastic plastic formed using the injection molding process. Their design ensures that vibrations are clearly felt on the palms. If the cyclist leaves the safe range, an additional alarm sounds. Different vibration patterns signal different prompts: turning, adjusting speed, or hazardous situations. Test subjects trialed six different pulse sequences and rated their clarity.
The demonstrator is available at trade fairs, workshops, and exhibitions. Visitors can experience a virtual downhill ride and test the system’s effects for themselves. The concept can also be transferred to other means of transport, such as walkers or wheelchairs.
Elite Sports: The Roller Ski as a Second Example
For elite sports, the choice fell on the roller ski, a summer variant of the cross-country ski. Until now, roller skis have mostly consisted of simple aluminum profiles. These are stiff, offer little design freedom, and make it difficult to integrate sensors.
A new roller ski structure was created in the “SmartFrame+” project. Glass and carbon fiber rovings were combined in such a way that they can absorb all forces despite minimal mass. At the same time, the structure provides a springing effect.
An integrated piezo sensor, manufactured using the pultrusion process, measures loads during training. In the future, the data will be transmitted wirelessly to an app. This will enable the analysis of push-off force, position, or length. Athletes receive direct feedback, can identify errors, and improve their technique. Furthermore, complete training profiles can be recorded and evaluated later.
A prototype currently exists. In the next step, the measurement and analysis technology will be further developed and supplemented by intelligent braking technology.
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