Metal additive manufacturing (AM) presents advantages such as increased complexity for a
lower part cost and part consolidation compared to traditional manufacturing. The multiscale …

With the development of the materials genome philosophy and data mining methodologies,
machine learning (ML) has been widely applied for discovering new materials in various …

Current trends in the progress of technology demand availability of materials resources
ahead of the advancing fronts of the application areas. During the last couple of decades …

Genetic algorithm is employed for optimum designing of patient specific dental implants with
varying dimension and porosity. It is generally recommended that, the micro strain at the …

Considering the complex relationship among mechanical properties of 7xxx aluminum alloy,
it is very crucial to optimize two or more target properties simultaneously in developing new …

The design of new alloys adapted to LPBF and combining suitable mechanical strength
together with a low cracking susceptibility is a promising way to produce defect-free parts …

In recent years, ultra-fine-grained Fe–C alloy have received widespread attention because
of their high levels of strength, hardness, and wear resistance. However, these alloy have …

Engineering alloys have evolved towards an increasing complexity as they are used in more
demanding conditions to, eg, reduce the carbon footprint of transportation, energy …

Artificial neural network (ANN) models, correlating the mechanical properties (yield strength,
tensile strength,% elongation and r¯) of the cold rolled interstitial free (IF) steel sheets with …

Computational intelligence based approaches are used in tandem to design novel age-
hardenable aluminium alloy, which would utilize the effect of all precipitate forming elements …