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Materials Processing Fundamentals 2024 [electronic resource] : Iron and Steel Production / edited by Samuel Wagstaff, Alexandra Anderson, Adrian S. Sabau, Chukwunwike Iloeje.

Contributor(s): Material type: TextSeries: The Minerals, Metals & Materials SeriesPublisher: Cham : Springer Nature Switzerland : Imprint: Springer, 2024Edition: 1st ed. 2024Description: XIII, 341 p. 210 illus., 172 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783031501845
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleLOC classification:
  • TA418.5-.84
Online resources:
In: Springer Nature eBookSummary: This collection covers various aspects of the fundamentals, synthesis, analysis, design, monitoring, and control of metals, materials, and metallurgical processes and phenomena. This volume will focus on the fundamentals of iron and steel production including ladle processing, casting, rolling, forging, and subsequent surface treatments. Topics represented include, but are not limited to: • Use of artificial intelligence or big data in the control or optimization of industrial processes • Modelling or optimization of recycle streams and scrap loops • Measurement and control in hostile environments • Modeling transport phenomena in materials processing and metallurgical processes involving iron, steel, nonferrous metals, and composites • Thermodynamics, kinetics, andphysical chemistry of materials processes and modelling thereof.
Item type: List(s) this item appears in: Titluri cărți electronice Springer Nature 2025 (10631 titluri)
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This collection covers various aspects of the fundamentals, synthesis, analysis, design, monitoring, and control of metals, materials, and metallurgical processes and phenomena. This volume will focus on the fundamentals of iron and steel production including ladle processing, casting, rolling, forging, and subsequent surface treatments. Topics represented include, but are not limited to: • Use of artificial intelligence or big data in the control or optimization of industrial processes • Modelling or optimization of recycle streams and scrap loops • Measurement and control in hostile environments • Modeling transport phenomena in materials processing and metallurgical processes involving iron, steel, nonferrous metals, and composites • Thermodynamics, kinetics, andphysical chemistry of materials processes and modelling thereof.

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