Tomographic techniques, originally developed for medical use, have been adapted for non-destructive testing (NDT) in industry.
Using X-rays, these technologies create detailed 3D images, revealing internal defects in materials. Essential for ensuring quality and safety, they enable in-depth analysis of critical components such as gas turbines and automotive engines. In addition to identifying defects, they provide crucial data for predictive maintenance, reducing downtime and maintenance costs. With applications in research, development, and production, these techniques are revolutionizing manufacturing processes and improving the reliability of industrial products.

The manufacturing industry is integrating Artificial Intelligence (AI) into Additive Manufacturing (AM) to optimize product design and quality. AI enhances design by identifying optimal geometries for AM and optimizes process parameters in real-time, reducing defects and improving repeatability. Additionally, when combined with computed tomography (CT), AI automates product inspection, detecting internal and external defects that are not visible with traditional methods. This approach increases efficiency, reduces production times and wasted materials, and opens new possibilities for design innovation, promising a revolution in the manufacturing sector.