Virtual Metallurgy: Alloy Formation And Prediction of Their Properties Through Artificial Neural Network

Virtual Metallurgy: Alloy Formation And Prediction of Their Properties Through Artificial Neural Network

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2020 by IJETT Journal
Volume-68 Issue-10
Year of Publication : 2020
Authors : Pradeep Kumar Singh
DOI :  10.14445/22315381/IJETT-V68I10P204

Citation 

MLA Style: Pradeep Kumar Singh "Virtual Metallurgy: Alloy Formation And Prediction of Their Properties Through Artificial Neural Network" International Journal of Engineering Trends and Technology 68.10(2020):28-32. 

APA Style:Pradeep Kumar Singh. Virtual Metallurgy: Alloy Formation And Prediction of Their Properties Through Artificial Neural Network  International Journal of Engineering Trends and Technology, 68(10),28-32.

Abstract
In the present paper a novel concept of metallurgy viz., ‘virtual–metallurgy’ is introduced. With virtual metallurgy, it is possible to make a large variety of potential alloys and its properties prediction could be done through Artificial Neural Network (ANN). Using the virtual-metallurgy concept, a few new alloys are found with interesting and improved properties viz. [i] Braonze (combination of Brass & Bronze) and [ii] Hc-Hss tool material (combination of high carbon steel & high speed steel). Properties of Brass & Bronze and that of High carbon steel & High speed steel are used as training data to train the ANN.
Virtual-metallurgy in broader sense, is virtual-chemistry, and it can find wide-ranging applications towards virtual-testing & development of composite materials, polymers, medicines etc. Virtual-metallurgy can be considered as eco-friendly metallurgical manufacturing process & testing, that avoids unnecessary hit and trial experiments for the alloy making, only the better ones predicted by ANN can actually be made.

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Keywords
Virtual metallurgy, Artificial Neural Network, Alloys, Virtual Chemistry.