Repair of worn metal parts is mostly done by SMEs which do have special knowledge about the requirements of their market segment. In most cases, deviations in geometry account for the need to repair a part, be it due to wear and abrasion or due to mechanical loads that lead to distortion of the part. Each of these cases though starts with the requirement to acquire the actual geometry of the part. Once the additive process is started, it is key to add only the amount of material that is needed to avoid additional post processing activities. The time and skills required to account for distortions and geometric factor impact strongly on overall running costs, and hinder the wide adoption of laser cladding as an efficient repair technology by SMEs.


This assessment aims to reduce costs, time, and resources on the one hand and retain full dimensional quality control on the other hand by enhancing laser cladding. PROPER makes use of a control system based on 3D-monitoring and point-cloud processing, hence minimizing the set-up time to result in fast and flexible repair process. Achievements in enhanced robot vision will be applicable to a wider range of laser cladding applications in different markets, for example high value parts in power generation or mining. PROPER assessment wants to create a solution for SMEs that is affordable and allows them to retrofit their equipment.

This laser-based equipmentassessment (LEAs) is part of the second batch of assesments supported underLashare project.



DataPixel S.L. (supplier), Grupo Nicolás Correa Láser S.A (user), AIMEN Centro Tecnológico (research partner)