Aerospace and Mechanical Insider on MSN
AI and machine learning transform materials testing
Materials testing remains a cornerstone of engineering and manufacturing, ensuring that components and structures—from ...
The accuracy of reliability models is one of the most problematic issues that must be considered for the life of electronic assemblies, particularly those used for critical applications. The ...
In modern construction projects, concrete, as a key structural material, plays a critical role in the safety and durability of the building 1. Particularly in bridges, high-rise buildings, and other ...
Test engineers undoubtedly agree on the need for a test rig that can evaluate the reliability of a vehicle’s suspension system. However, developing and building a high-performance fatigue bench that ...
If you enjoyed this article, I’d like to ask for your support. Scientific American has served as an advocate for science and industry for 180 years, and right now may be the most critical moment in ...
In a recent study published in the journal PNAS Nexus, researchers explored using multimodal wearable sensors combined with machine learning to measure real-time fatigue among manufacturing workers.
Under specific conditions, hydrogen can diffuse in metal, leaving a long-term effect on the material’s properties. Close investigation of the behavior of materials and components in hydrogen-rich ...
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