Technological Solutions

Trailing to protect concrete materials against oxidation

Tool designed to protect reactive materials at high temperatures in DED additive technologies. Attached to the welding torch, it isolates the hot area from air, preventing oxidation. It includes a micropyrometer for temperature measurement and protection adjustment. Unlike closed chambers, it adapts to parts of any geometry and size.

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.

Library of application parameters

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.

Versatile easy-to-change Finite Element Models (FEM)

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.

Automated inspection systems based on inductive thermography with embedded processing for flaw detection

There are several active thermography techniques used for defect detection. All of them are based on the same fundamentals: a sample or component is exposed to an external excitation source and the propagation of the induced heat is captured with a thermographic camera, analyzing the temperature gradients on the surface for the detection of surface and sub-surface anomalies.

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.

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.

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

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 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.