Mathematical and Physical Simulation of the Properties of Hot Rolled Products - 1st Edition - ISBN: 9780080427010, 9780080525686

Mathematical and Physical Simulation of the Properties of Hot Rolled Products

1st Edition

Authors: Maciej Pietrzyk L. Cser J.G. Lenard
Hardcover ISBN: 9780080427010
eBook ISBN: 9780080525686
Imprint: Elsevier Science
Published Date: 5th July 1999
Page Count: 376
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Description

Introduction
Steel Production.
Future Changes of Personnel.
Competition from Other Materials.
Current Concerns.
The Rolling Process.
Improvements of the Rolling Process.
The Contents of the Book.

Tribology of Flat Rolling and The Boundary Conditions
The Tribological System.
Interactions at the Surface of Contact.
The Dependence of Interfacial Phenomena on Process and Material Parameters.
Roll Wear.
Case Studies.
Boundary Conditions.

The Resistance of the Material to Deformation
Tension, Torsion and Compression Testing.
Potential Problems Encountered During Mechanical Testing.
Representation of True Stress-True Strain Curves.
Case Studies.

One-Dimensional Modeling of the Flat Rolling Process
Free-Body Diagram of the Roll-Strip System.
An Empirical Model.
The Traditional Models - Orowan, Sims, Bland and Ford
Refinements of Orowan Model.
A Model with no Friction Hill.
Sensitivity of the Roll Force and the Torque to Some of the Parameters.
The Predictive Ability of the One-Dimensional Models.

The Finite-Element Method in Metal Forming
Rigid-Plastic Finite-Element Method.
Elasto-Plastic Finite-Element Model.
Heat Transfer.
Case Studies.

Microstructure Evolution and Mechanical Properties of the Final Product
Conventional Microstructure Evolution Models.
Properties at Room Temperature.
Substantiation of Thermal-Mechanical-Microstructural Models.
The Internal Variable Method.
Case Studies - Industrial Applications.

Shape Rolling
Generalized Plane Strain Approach.
Case Studies.

Parameter Evaluation in Metal Forming
Parameter Evaluation - The Inverse Analysis.
Optimization Techniques.
Case Studies.

Knowledge Based Modelling
Knowledge in Hot Rolling.
Knowledge Acquisition.
Numerical Data for Decision-Making.
Data and Data Mining in Hot Rolling.
Numerical Data Covering the Gaps in Knowledge.
Case Studies.

Conclusions

References

Author Index

Subject Index

Readership

Metullurgists, Material Scientists, Mechanical Engineers, Tribologists

Table of Contents

Introduction
Steel Production.
Future Changes of Personnel.
Competition from Other Materials.
Current Concerns.
The Rolling Process.
Improvements of the Rolling Process.
The Contents of the Book.

Tribology of Flat Rolling and The Boundary Conditions
The Tribological System.
Interactions at the Surface of Contact.
The Dependence of Interfacial Phenomena on Process and Material Parameters.
Roll Wear.
Case Studies.
Boundary Conditions.

The Resistance of the Material to Deformation
Tension, Torsion and Compression Testing.
Potential Problems Encountered During Mechanical Testing.
Representation of True Stress-True Strain Curves.
Case Studies.

One-Dimensional Modeling of the Flat Rolling Process
Free-Body Diagram of the Roll-Strip System.
An Empirical Model.
The Traditional Models - Orowan, Sims, Bland and Ford
Refinements of Orowan Model.
A Model with no Friction Hill.
Sensitivity of the Roll Force and the Torque to Some of the Parameters.
The Predictive Ability of the One-Dimensional Models.

The Finite-Element Method in Metal Forming
Rigid-Plastic Finite-Element Method.
Elasto-Plastic Finite-Element Model.
Heat Transfer.
Case Studies.

Microstructure Evolution and Mechanical Properties of the Final Product
Conventional Microstructure Evolution Models.
Properties at Room Temperature.
Substantiation of Thermal-Mechanical-Microstructural Models.
The Internal Variable Method.
Case Studies - Industrial Applications.

Shape Rolling
Generalized Plane Strain Approach.
Case Studies.

Parameter Evaluation in Metal Forming
Parameter Evaluation - The Inverse Analysis.
Optimization Techniques.
Case Studies.

Knowledge Based Modelling
Knowledge in Hot Rolling.
Knowledge Acquisition.
Numerical Data for Decision-Making.
Data and Data Mining in Hot Rolling.
Numerical Data Covering the Gaps in Knowledge.
Case Studies.

Conclusions

References

Author Index

Subject Index

Details

No. of pages:
376
Language:
English
Copyright:
© Elsevier Science 1999
Published:
Imprint:
Elsevier Science
eBook ISBN:
9780080525686
Hardcover ISBN:
9780080427010

About the Author

Maciej Pietrzyk

Affiliations and Expertise

Dept. of Applied Comp. Sci. and Modelling, Faculty of Metals Eng. and Industrial Comp. Sci., Akademia Górniczo – Hutnicza, Poland

L. Cser

Affiliations and Expertise

Bay Zoltan Foundation for Applied Research, Miskolc, Hungary

J.G. Lenard

Affiliations and Expertise

University of Waterloo, Department of Mechanical Engineering, Waterloo, Ontario, N2L 3G1, Canada