Repair welding of heavy duty components
The mining industry faces extreme challenges when it comes to the maintenance and repair of hard-to-reach and highly stressed components. With OSCAR-PLT’s wire and powder LMD technology, we offer you precise and cost-effective solutions for additive manufacturing and repair. Our proven laser systems enable you to maximise the uptime of your machines and minimise costly downtime. Rely on OSCAR-PLT to reduce wear and tear on your equipment while increasing the profitability of your mining operations.
Examples of use
Component: Drive shaft gear unit open-cast mining
Base material: 1.7225 (42CrMo4)
Material: UTP A 73 G3 / wire
Component weight: 50 kg
Processing time: 2 h
Base material: structural steel
Material: G4Si1 / wire
Component weight: 9200 kg
Price for new acquisition: approx. 100,000 €
The proven metal 3D printing system that started it all. A versatile technology that enables unmanned, direction-independent welding - with both wire and powder LMD (Laser Metal Deposition).
This compact version of our pioneering laser head weighs just 6 kilograms and still brings all the advantages of the ProFocus technology, enabling new applications and geometries.
The compact version of our laser cell for production environments with small to medium-sized components. It combines the quality and efficiency of the ProFocus laser cell with a particularly compact footprint and easy transportability.
Do you have questions about our company, our products or our services? Then you've come to the right place.
Our drag gas nozzles are not wear parts, but are designed for continuous operation. There are replaceable wear parts in the nozzle body that can be replaced if they become heavily stained (e.g. by welding spatter).
Yes, we offer demonstrations of our camera models in your production environment. Please contact us to make an appointment, we would be happy to show you our welding cameras in action.
Yes, we can configure the cameras so that they are suitable for the wavelength of your laser process.
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