France: The manufacturer has reported on the areas it is focusing on to reduce the tare weight of rail vehicles.
In the report, Alstom compared the tare weights of different rolling stock. “Bodies and bogies account for more than half the weight of a wagon”, the company points out, adding that passengers and freight typically add 40–70% to the weight.
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Alstom predictably notes that miniaturisation, particularly through the use of silicon carbide semiconductors, is one of the key factors in reducing weight (for example, read about the experience of Key Systems and Components Group). According to the French manufacturer, more efficient HVAC equipment with smaller heating and cooling components and more efficient insulation can make a major contribution.
Another key factor in reducing weight, according to the company, is 3D printing. Alstom points out that the competences it has developed in this area have enabled a 50% weight reduction in one of the load-bearing parts of the new generation Avelia Horizon high-speed train.
The company’s report highlights materials that help reduce the weight of components and rolling stock as a whole.
- Aluminium. This traditional alternative to steel can be used in a wide range of applications, including body structures, underframes, bogies and interiors.
- Carbon fibre. Alstom cites its durability and applicability in body panels, seats, panelling and other interior elements.
- Magnesium. The lightest of the metals used in rolling stock production, suitable, according to Alstom, for brake, body and interior components.
- Composites. Combining low weight with high strength, these materials offer great potential for improving the environmental performance of rolling stock through the use of organic resins and natural fibres in interiors, body panels and body deformation zones.
- High-strength steel. It can be used to make thinner products with the same strength, which is important for body structures, underframes and bogies.
According to Alstom, weight reduction through the development of innovations can make a significant impact on train performance, energy efficiency and operating costs. “Moreover, there is a snowball effect that can be triggered with deep weight optimization and smart product architectures”, the company notes.
