Technological Solutions

Software suite for implementing Industrial Cyber-Physical System

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.

Methodology for definition of parameters for new materials

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.

Ad-hoc inductors for defect detection in any orientation by induction thermography

LORTEK has extensive experience developing inductive thermography inspection systems, especially in the design of specific inductors to detect cracks and defects in any direction. These advanced inducers reduce the number of captures and overall inspection time.

System for capturing, recording and displaying welding and inspection parameters in real time // Welding control platform

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

Methodology and internal standard for powder collection in selective laser melting (SLM) AM

In-house procedure to characterise incoming powders, with significant improvements in the quality of samples processed by additive technologies: Analysis of particle size distribution (PSD), quantification of powder morphology by SEM image analysis and process to quantitatively measure the internal porosity content of particles.

Hybrid Multimaterial Additive Manufacturing DED-LB

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

Welding quality prediction model

LORTEK uses in-house AI models to predict the quality of welds, based on process data from welding equipment, external sensors and robotics, collected on the digital platform connected to the robotic arc welding cell. This allows monitoring the welding process variables with the highest impact on joint quality.

Repair methodology for difficult-to-weld materials with industrial robots

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.

Material evaluation
Repair strategy design
Material preparation
Robot and welding equipment configuration
Carrying out the repair

Measurement, monitoring and control system Shape-from-Shadow

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.

Optimisation algorithms to calibrate, reduce weight and maximise stiffness

Algorithms to optimise complex problems, adjusting parameters such as geometry, material properties or loading conditions, with the aim of minimising or maximising target functions, such as cost, weight, performance or relevant metrics of the system to be studied.