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 ...
Conducting research on the fatigue performance of concrete materials is of great significance for the anti fatigue design of concrete structures. Currently, indirect tensile or compressive strength ...
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 ...
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 ...
An overview of fatigue failure and how it affects mechanical systems. How FEA software enables engineers to predict fatigue failure points on structural designs, before the manufacturing process. From ...
Inside the massive testing hangars across Seattle and Everett, the world's biggest jetliners are turned into mechanical lab rats. Hydraulic actuators yank their wings skyward, compressors simulate ...
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 ...
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 ...
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.
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