Harnessing the power of machine learning, scientists have developed a material testing technique that improves the accuracy of a previous technique used in manufacturing. Nano-indentation is a process ...
Materials testing is critical in product development and manufacturing across various industries. It ensures that products can withstand tough conditions in their ...
Materials testing is a well-established technique used to determine the physical and mechanical properties of raw materials and components from a human hair to steel, composite materials and ceramics.
Researchers at the Mechanical Engineering Department of Kwame Nkrumah University of Science and Technology (KNUST) in Kumasi have developed a locally-built machine designed to test the strength of ...
Scientists at Nanyang Technological University, Singapore (NTU Singapore), Massachusetts Institute of Technology (MIT), and Brown University have developed new approaches that significantly improve ...
The Zwick Z020 is a versatile and precise tensile testing machine for measuring mechanical properties of materials such as plastics, metals, rubber, and composites. With interchangeable load cells, it ...
The overhead of development of new materials is significant and the ML approach can reduce the cost by great margins. New Delhi: Materials are the face of our civilization and the techno-social growth ...
Researchers at the Indian Institute of Science (IISc), with collaborators at University College London, have developed machine learning-based methods to predict material properties even with limited ...
The Zwick Z020 is a versatile and precise tensile testing machine for measuring mechanical properties of materials such as plastics, metals, rubber, and composites. With interchangeable load cells, it ...
Scientists have developed new approaches that significantly improve the accuracy of an important material testing technique by harnessing the power of machine learning. The new analytical technique ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback