This paper provides a synergistic review of the current scenario and future prospects of
aluminum metal matrix composites (AMMCs). AMMCs are advanced materials that have …

The history of machine learning (ML) can be traced back to the 1950 s, and its application in
alloy design has recently begun to flourish and expand rapidly. The driving force behind this …

Aluminum becomes the most popular nonferrous metal and is widely used in many fields
such as packaging, building transportation and electrical materials due to its rich resource …

Abstract Machine learning techniques are widely used to understand and predict data trends
and therefore can provide a huge computational advantage over conventional numerical …

Wire and arc additive manufacturing based on cold metal transfer (WAAM-CMT) has
aroused wide public concern in recent years as one of the most advanced technologies for …

Neural networks are now a prominent feature of materials science with rapid progress in all
sectors of the subject. It is premature, however, to claim that the method is established …

An artificial neural network is proposed to solve problems in the interpretation of ultrasonic
oscillograms obtained by the pulse echo method. The artificial neural network classifies …

In the current research, nano-composites of commercial casting aluminum alloy reinforced
with nano-silicon carbide were produced. Experimental and modeling investigations were …

The quality level of a resistance spot welding (RSW) joint of 304 austenitic stainless steel
(ASS) is estimated from its tensile shear load bearing capacity (TSLBC). The quality levels …

En esta investigación, se desarrolló un método para evaluar y predecir la eficiencia de
pequeñas empresas exportadoras tomando como variables de entrada o recurso los rubros …