An ANN Used in Virtual Metallurgy to Anticipate the Qualities of the as-Unmanufactured Alloy

The term “virtual metallurgy” is introduced as a novel idea in the realm of metallurgy in this particular academic work. Using virtual metallurgy, it is possible to construct a wide range of fictitious alloys. Then, the characteristics of these made-up alloys might be predicted using an artificial neural network. Several novel alloys with fascinating and enhanced features were discovered with the use of the notion of virtual metallurgy. Both (i) Bronze, an alloy composed of equal parts brass and bronze, and (ii) He-Hss tool material are examples of this kind of metal. An artificial neural network (ANN) is trained using data that includes brass and bronze features in addition to high-carbon steel and high-speed steel data. Essentially synonymous with virtual chemistry, virtual metallurgy has the potential to be used in the virtual testing and development of composite materials, polymers, medicines, and other similar items. The use of virtual metallurgy has the potential to become an environmentally friendly manufacturing process and a testing method in the metallurgical industry. This technology eliminates the need for inconclusive hit-and-miss testing during the manufacturing of alloys, allowing only the superior alloys predicted by artificial neural networks to be produced.