Tecnitest Ingenieros is a Non-Destructive Testing (NDT) engineering company, with more than twenty years of experience, focused in the development and deployment of NDT systems and Innovative ideas and products in the industry 4.0.
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TECNITEST INGENIEROS will be attending the European Conference on Non-Destructive Testing (ECNDT) in Verona, Italy, from June 15–19, 2026.
Igualmente, continuando con nuestro compromiso con la investigación, el desarrollo y la innovación (I+D+i), durante el congreso se presentaron las siguientes ponencias:
- Sistema de inspección por ultrasonidos basado en robótica industrial, inteligencia artificial y visión artificial, para el control de calidad de puntos de soldadura.
- Diseño y desarrollo de un sistema de monitorización en el proceso de fabricación de CFRP.
- AIVA NDT: Detección de defectos en tiempo real mediante la aplicación de modelos de inteligencia artificial a las inspecciones por ultrasonidos.
This adaptability makes it ideal for industrial NDT research and training applications.
Sabancı University IMC now benefits from this cutting-edge technology for their inspection requirements.
Aybüke DonatView Aybüke
La tecnología disruptiva sustituirá al ineficiente sistema actual usado en los autoclaves de calentamiento eléctrico del ambiente interior de las mismas y transporte de calor a las piezas por convección forzada, aprovechando la energía que es necesario extraer (para lograr el enfriamiento de las piezas) para el calentamiento del ciclo siguiente.
Con ello, se pretende una reducción sustancial de los lead-times de fabricación de los componentes en fibra de carbono de las principales aeroestructuras de un avión de pasillo único y corto alcance, un ahorro energético radical en la fabricación de estos componentes de materiales compuestos, una disminución de los costes no-recurrentes necesarios para la industrialización de los procesos productivos, una optimización de la calidad de las piezas curadas, una optimización de los ciclos de curado y una mejora de la geometría final de las piezas curadas el proyecto.
Este proyecto ha sido subvencionado por el CDTI, con el apoyo del Ministerio de Ciencia e Innovación, con número de expediente PTAP-20221003 a través de la convocatoria para el año 2022 del procedimiento de concesión de ayudas destinadas a Iniciativas Estratégicas Sectoriales de Innovación Empresarial (“Programa Tecnológico Aeronáutico”), en el marco del Plan de Recuperación, Transformación y Resiliencia (financiado por fondos Next Generation EU, entre ellos el Mecanismo de Recuperación y Resiliencia) y del Programa Estatal para la Catalizar la Innovación y el Liderazgo Empresarial del Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023.
Tecnitest booth #37 Hall 2. Visit our SpotWeld Demo
The main challenges faced are presented, such as the location of the spot weld, using artificial vision, the definition and positioning of the probes until a reliable signal, and the final analysis through a development based on artificial intelligence.
The system that has been presented was developed by Tecnitest, and validated with real samples in a production plant in which all types of defects were analysed.
The first results showed an in-line detection capacity of 85%. When it was only needed to discriminate between OK/not OK, the probability of detection was close to 100%.
Tecnitest booth #37 Hall 2. Visit our SpotWeld Demo
Automatic ultrasonic inspection of complex parts remains one of the most difficult challenges according to the specific and increasingly exigent demands of the markets. The closed configuration of these complex robotic arms makes it difficult to maintain adequate synchronism between the movement of the robot and the acquisition of the data, making it difficult to generate ultrasonic images consistent with the geometry of the part. This is a fundamental problem in the inspection of aerospace components where high quality is necessary to assess the condition of the inspected component.
ECNDT 2023 conference
Currently there are commercial industrial robots that have the precision, speed and repetitiveness in their movements that make them suitable for use in numerous non-destructive testing inspections whose designs are carried out by small and medium sized specialized companies. Automatic ultrasonic inspection of complex parts remains one of the most difficult challenges according to the specific and increasingly exigent demands of the markets.
The closed configuration of these complex robotic arms makes it difficult to maintain adequate synchronism between the movement of the robot and the acquisition of the data, making it difficult to generate ultrasonic images consistent with the geometry of the part. This is a fundamental problem in the inspection of aerospace components where high quality is necessary to assess the condition of the inspected component.
In this paper, we present an autonomous independent external system that provides control signals to synchronize the ultrasound system with the robot trajectories without needing to access its position in real time. A methodology to obtain the timing pattern for a given part inspected with a given robotic system will also be presented here.
ECNDT 2023 conference
the operator. In this paper an inspection system, based on the ultrasonic propagation, is described.
The main challenges faced are presented, such as the location of the spot weld, using artificial vision, the definition and positioning of the probes until a reliable signal, and the final analysis through a development based on artificial intelligence.
The results achieved in real parts, have shown that this robotic system, has a better defect detection capacity than the systems currently on the market, and is applicable to the inspection on assembly lines, optimizing not only the inspection times but also improving the results and therefore the quality of the process.
Abstract:
The closed configuration, i.e., restricted access to internal motion parameters, of these robotic arms makes it difficult for an adequate synchronism between the movement of the robot and the acquisition of the data.
This is a severe problem in the inspection of aerospace components, where high-quality images are necessary to assess the condition of the inspected component. In this paper, we applied a methodology recently patented for the generation of high-quality ultrasonic images of complex geometry pieces using industrial robots.
The methodology is based on the calculation of a synchronism map after a calibration experiment and to introduce this corrected map in an autonomous, independent external system developed by the authors to obtain precise ultrasonic images. Therefore, it has been shown that it is possible to establish the synchronization of any industrial robot with any ultrasonic imaging generation system to generate high-quality ultrasonic images.
A.I. ROBOTIC SYSTEM
NEW ULTRASONIC INSPECTION SYSTEM FOR THE CERN
The system has been tailored to the customer’s needs to allow quality verification of construction elements used by CERN, with state-of-the-art materials, and with a range of varied sizes and geometries.
Mr. Arnau, Project leader at CERN for the procurement and installation of the system delivered by Tecnitest Ingenieros S.L. commented:
“I would undoubtedly highlight the capacity of Tecnitest Ingenieros S.L. to capture all the requirements that we have asked for and their acceptance to modify the development according to the suggestions that we made, which has resulted in a very flexible and functionally very complete system, which allows us to tackle the work of manufacturing new parts, with new advanced materials, ensuring the quality of the results.”
Airbus Defence and Space (ADS), división Spacecraft Production Spain.
Quality EngineerQuality Engineer
Sabancı University IMC – Integrated Manufacturing Technologies Research and Application Center