Technological Solutions

At LORTEK we have extensive experience in welding process modelling, additive processes, structural calculation and thermal cycle analysis used to represent complex systems and with the capacity to adapt to different situations and design requirements of industrial products and processes, as a tool to simulate extreme conditions and preventive detection of defects.

Hybrid multimaterial additive manufacturing represents an evolution in advanced manufacturing processes, integrating different technologies to produce optimized industrial components.

This system integrates several independent and interconnected modules to provide a robust solution for capturing, recording and viewing data related to the welding process:

• Data capturing
• Data recording
• Data viewing

AI application

LORTEK's extensive experience in additive technology metal processing methods with aluminium alloys, titanium, nickel, steels (stainless, tool steels) and difficult to process alloys, has facilitated the development of material-specific parameter windows, guaranteeing minimum defects (<0.1%). Specific strategies for massive parts, thin-walled or Triple Periodic Minimal Surface (TPMS) lattice structures have been developed, forming a library of parameters for various applications.

Cyber-physical systems (CPS) are networks of interconnected nodes, virtual programmes with specific functions, such as data capture, analysis in AI models or custom code, that can run on any device. They offer flexibility and adaptability to a variety of tasks, through an interface that facilitates quick switching without altering the underlying programming.

The patented Shape-From-Shadow (SFS) method (EP4015987A1) employs laser triangulation with a unique approach—projecting a shadow pattern. This active technique measures 3D geometry, focusing on laser metal deposition. Pulsed laser, synchronized with camera exposure, eliminates process radiation influence. Height measurement involves processing images with a Python algorithm, calculating pixel differences on the track or liner. Validated for direct energy deposition processes (LMD or WAAM), this method has been published in a refereed scientific paper.

At LORTEK, we are actively dedicated to reducing consumption of resources, both time and materials. New materials pose challenges in our additive technologies due to parameter customisation. Our methodology is based on the group's expertise and high impact studies, identifying key parameters to optimise processes and achieve manufacturing efficiency.

Repairing difficult-to-weld materials with industrial robots requires a careful methodology to ensure an efficient and accurate repair. The methodology to be implemented will be as follows.

1. Material evaluation
2. Repair strategy design
3. Material preparation
4. Robot and welding equipment configuration
5. Carrying out the repair