Predicting the Effect of Deep Cold Rolling on the CO₂-Footprint of Dynamically Loaded Parts

Abstract

Mechanical surface treatments, as for example machine hammer peening or deep cold rolling, are well known to increase the service life of dynamically loaded parts. Using this increased strength, a part can be designed more resource- or weight efficient. Both parameters are to reduce the carbon-footprint of the part. Within this presentation the effect of deep cold rolling on the overall CO₂-footprint will be pointed out. The aim of this project is to identify the main effects on the carbon footprint. Using a life cycle assessment in- and output values are analyzed for different processes and are evaluated for their importance. Additionally, a method will be presented to quickly evaluate the benefits of mechanical surface treatments for any dynamically loaded part within the design phase for the whole life cycle. Within this framework different assumptions can be drawn to increase the quality of the prediction and it will be possible to quickly evaluate if a mechanical surface treatment will be beneficial for the CO₂-footprint of a part.