New tool can map nanomechanical properties of materials like multi-phase alloys, composites & multi-layered coatings
Scientists from International Advanced Research Centre for PowderÂ Metallurgy and New Materials (ARCI) an autonomous institute under theÂ Department of Science & Technology, Govt. of India in collaboration withÂ Nanomechanics Inc., Oak Ridge, USA have jointly developed an advancedÂ tool for mapping nano-mechanical properties of materials likeÂ multi-phase alloys, composites, and multi-layered coatings.
The tool called NanoBlitz 3D has also been found to yield excellentÂ results on a wide range of material systems, includingÂ glass-fibre-reinforced polymer composites, dual-phase steels, softwoodÂ and shale. An important aspect of this technique is its high-throughput,Â with just a few hours of testing required for generating more thanÂ 10,000 data points that can be processed using machine learning (ML)Â algorithms.
It enables the performance of a large array, typically consisting ofÂ 1000s high-speed nano-indentation tests, wherein each indentation testsÂ takes less than one second to measure hardness and elastic modulus of aÂ given material. In addition, it provides capabilities to carry outÂ advanced data analysis, such as identifying and quantifying theÂ mechanical properties of constituent phases, features or components ofÂ multi-phase alloys, composites, multi-layered coatings and so on.
The high-speed mapping capabilities of the tool can also be used toÂ quickly establish structure-property linkages at a micrometer lengthÂ scale or higher, which can help to understand multiscale mechanics andÂ aid in development of hierarchical materials. This, in turn, expeditesÂ the development of high-performance novel materials under an IntegratedÂ Computational Material Engineering (ICME) approach.
The product was released in San Antonio, USA by Dr. G. Padmanabham,Â Director, ARCI, on the sidelines of The Minerals, Metals & MaterialsÂ Society 2019 Annual Meeting and Exhibition. As data science isÂ considered as the new avenue for accelerating materials design andÂ discovery, this technique with high-fidelity and high-throughput canÂ greatly contribute to this new paradigm.