NAME Defect detection algorithms for additive manufacturing

DESCRIPTION

Detection of defects occurring in additive manufacturing processes such as SLM, WAAM or L-DED. By processing images (either vision or thermography) or emission levels in the powder bed, porosities, powder faults or geometrical deviations in the parts are identified. Predictive algorithms can be included in closed-loop systems capable of real time process control and readjustment.

FIELDS OF APPLICATION

Deployment and Application

MOST OUTSTANDING EQUIPMENT AND COMPONENTS

  • Additive manufacturing machines based on WAAM, SLM or L-DED

    Additive manufacturing machines based on WAAM, SLM or L-DED

  • Inspection systems that are mainly based on artificial vision

    Inspection systems that are mainly based on artificial vision

SERVICES OFFERED BY THE ASSET

Defect detection based on optical vision

Algorithms based on artificial vision and deep learning for the detection and segmentation of defects (pores, LoF, dust accumulation, etc.) in additive manufacturing processes such as WAAM, SLM, or DeD.

Termography-based inspection

Thermogram analysis for the identification and segmentation of atypical areas in the process.

ENTITY MANAGING THE ASSET

LORTEK S.C.
Contact person:
Maitane Ipiñazar
mipinazar@lortek.es