Rajesh Patil and Professor Magnus Löfstrand have developed an AI system that detects welding defects, reduces material waste, and supports sustainable manufacturing.

Improved metrology systems for dimensional inspection have saved aviation companies time, money and effort when inspecting ...

Acquisition integrates advanced "shift-left" Design for Test (DFT) functionality into Siemens' Xpedition and Valor portfolios ...

AUSTRALIAN Wagyu producers this year have access to a world-first breakthrough genetic test for embryonic mortality, which ...

Abstract: This study aims to develop a robust and computationally efficient forward model for surface defect characterization in magnetic flux leakage (MFL) testing. The proposed approach extends the ...

Drivers often overlook small issues that technicians detect easily during the mandatory test, and will be on the lookout for ...

Once considered isolated incidents, spontaneous glass breakages in solar modules are becoming more frequent, highlighting the limits of some manufacturing choices and the need for closer quality ...

Korean researchers detect hidden semiconductor defects 1,000× more sensitively, boosting efficiency, lifespan, and design ...

Abstract: Carbon fiber reinforced polymer (CFRP) composites are essential to modern aerospace structures due to their high strength-to-weight ratio and design flexibility. However, internal defects ...