Digitalization of Metallurgy: Development and Application of an Intelligent System for Processing Complex Raw Materials
Year: 2025
Type: book
Abstract: This monograph presents the results of a comprehensive study on the development and implementation of an integrated intelligent software platform for addressing pressing challenges in the metallurgical industry. It describes a modern system architecture based on a microservices approach, designed to model and optimize the processing of complex raw materials, including low-grade concentrates and industrial waste. Detailed mathematical models and algorithms for pyrometallurgical and hydrometallurgical processes are presented. A key innovation is the use of advanced machine learning methods, including the implementation of a unique "reverse forecasting" function for determining the optimal feedstock composition for specified final product parameters. Technologies for demercurization of carbon sorbents with subsequent extraction of precious metals are considered, which solves important environmental and resource-saving problems. The scientific results presented in the monograph are a synthesis of many years of fundamental and applied research by the authors. The book is intended for scientists, engineering and technical professionals, master's and bachelor's degree students studying in the following specialties: metallurgy, chemical engineering, and information technology. The monograph may be useful to researchers and specialists working in the field of digitalization of industrial processes.
Authors: B.K. Kenzhaliyev, A.A. Mukhanbet
Language: English
Subfield: Metals and Alloys
Field: Materials Science
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W4415781301