Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Bücher
Zeitschriften
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
MTZ-Fachkongress

Antriebe und Energiesysteme von morgen


Austausch von Automobil- und Energiewirtschaft

Am 14./15. Mai geht es in Chemnitz um die Mobilitätswende durch Elektro- und Wasserstofffahrzeuge.
Erweiterte Suche
Anmelden
nach oben

2020 | Buch

Introduction Kapitel lesen Erstes Kapitel lesen

Intelligent Optimization and Control of Complex Metallurgical Processes

verfasst von: Prof. Min Wu, Weihua Cao, Xin Chen, Jinhua She

Verlag: Springer Singapore

Buchreihe : Engineering Applications of Computational Methods

Enthalten in: Springer Professional "Wirtschaft+Technik" , Springer Professional "Technik" , Springer Professional "Wirtschaft"

Einloggen, um Zugang zu erhalten
insite
SUCHEN

Über dieses Buch

This book discusses the intelligent optimization and control of complex metallurgical processes, including intelligent optimization and control of raw-material proportioning processes, coking process, and reheating furnaces; intelligent control of thermal state parameters in sintering processes; and intelligent decoupling control of gas collection and mixing-and-pressurization processes. The intelligent control and optimization methods presented were originally applied to complex metallurgical processes by the authors, and their effectiveness and their advantages have been theoretically proven and demonstrated practically. This book offers an up-to-date overview of this active research area, and provides readers with state-of-the-art methods for the control of complex metallurgical processes.

Inhaltsverzeichnis

Frontmatter
Chapter 1. Introduction
Abstract
The iron and steel industry is the base for the development of national economy. It directly influences the industries of construction, machinery, shipbuilding, automobile, household electrical appliances, etc. The complexity and large uncertainties of the processes in the iron and steel industry make it difficult to establish accurate mathematical models and to control the processes using conventional control methods. On the other hand, since intelligent control does not require an accurate mathematics model, and its control algorithm has self-learning and adaptive ability, this control method is playing an increasingly important role in the iron and steel industry.
Min Wu, Weihua Cao, Xin Chen, Jinhua She
Chapter 2. Intelligent Optimization and Control of Raw Material Proportioning Processes
Abstract
The proportioning of raw materials in a complex metallurgical process contains a coal blending process and an iron ore sintering process.
Min Wu, Weihua Cao, Xin Chen, Jinhua She
Chapter 3. Intelligent Optimization and Control of Coking Process
Abstract
Coke, the product of a coking process, is an important material in the metallurgical industry. In a blast furnace that produces iron, it functions as the main supplier of heat, a reducing reagent, and a support framework for other materials. Its quality directly influences the metallurgical process that occurs in a blast furnace. Coke-oven temperature (COT) is a key parameter that reflects the thermal state of the whole oven. It directly influences both the quality of coke and the lifetime of an oven [1].
Min Wu, Weihua Cao, Xin Chen, Jinhua She
Chapter 4. Intelligent Control of Thermal State Parameters in Sintering Process
Abstract
A sintering process produces sinters as blast furnace materials. The stability of a sintering process and the quality of sinter are closely related to the cost, efficiency, and energy consumption of blast furnace production. And parameters of a thermal state in the process directly affect the stability of the process and the quality of sinter.
Min Wu, Weihua Cao, Xin Chen, Jinhua She
Chapter 5. Intelligent Decoupling Control of Gas Collection and Mixing-and-Pressurization Processes
Abstract
Coke is an important raw material in the metallurgy industry [1]. In the coking process, large amount of by-product gas will be generated from coke-ovens [2], and the process of recycling by-product gas is called gas collecting process. Gas collection involves using gas collectors to collect the gas produced by coke-ovens and sending it where it will be used. Generally, several coke-ovens are in operation at the same time. After the purification of the coal gas, the gas mixing-and-pressurization process of clean coal gas together with clean coal gas is a very important step in the production of steel and nonferrous metals.
Min Wu, Weihua Cao, Xin Chen, Jinhua She
Chapter 6. Intelligent Optimization and Control for Reheating Furnaces
Abstract
A reheating furnace is not only a crucial apparatus but also a principal source of power consumption in a tandem hot-rolling steel mill [1]. Regenerative pusher-type reheating furnaces and compact strip production (CSP) soaking furnaces are common reheating furnaces for hot-rolled production lines of billets.
Min Wu, Weihua Cao, Xin Chen, Jinhua She
Backmatter
Metadaten
Titel
Intelligent Optimization and Control of Complex Metallurgical Processes
verfasst von
Prof. Min Wu
Weihua Cao
Xin Chen
Jinhua She
Copyright-Jahr
2020
Verlag
Springer Singapore
Electronic ISBN
978-981-15-1145-5
Print ISBN
978-981-15-1144-8
DOI
https://doi.org/10.1007/978-981-15-1145-5

Neuer Inhalt

    Bildnachweise