Micro Structure Development

Sumathi Ramakrishnan

ISBN 10: 6139923867 / ISBN 13: 9786139923861

Published by LAP LAMBERT Academic Publishing, 2018

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - The strength of any material is dependent on the grain size and percentage of volume fraction recrystallization. In this book, a new approach for controlling micro structure development during hot working process is explained. Here two different methods are employed. One of the approaches is based on the Optimal Control theory and involves the developing of state space models to describe the material behavior and the mechanics of the process. The standard Arrehenious equation of 0.3% carbon steel is utilized to obtain an optimal deformation path such that the grain size should be 26 micrometer and percentage of volume fraction recrystallization should be 1. The plant model is developed and an appropriate optimality criterion is selected to maintain strain, strain rate and temperature. The state-space model together with an optimality criterion is used to control the grain size and percentage of volume fraction recrystallization using LQR method. In the other approach, FLC is employed. The simulation is done on various values for grain size and percentage of volume fraction recrystallization using both the controllers by MATLAB. FLC controller provides better performance than LQR.

Seller Inventory # 9786139923861

Bibliographic Details

• Title: Micro Structure Development
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2018
• Language: English
• ISBN 10: 6139923867
• ISBN 13: 9786139923861
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 4D millimeters 220 millimeters width by 150 millimeters height by 4 millimeters depth
• Weight: 102 grams

About this title

Synopsis

The strength of any material is dependent on the grain size and percentage of volume fraction recrystallization. In this book, a new approach for controlling micro structure development during hot working process is explained. Here two different methods are employed. One of the approaches is based on the Optimal Control theory and involves the developing of state space models to describe the material behavior and the mechanics of the process. The standard Arrehenious equation of 0.3% carbon steel is utilized to obtain an optimal deformation path such that the grain size should be 26 micrometer and percentage of volume fraction recrystallization should be 1. The plant model is developed and an appropriate optimality criterion is selected to maintain strain, strain rate and temperature. The state-space model together with an optimality criterion is used to control the grain size and percentage of volume fraction recrystallization using LQR method. In the other approach, FLC is employed. The simulation is done on various values for grain size and percentage of volume fraction recrystallization using both the controllers by MATLAB. FLC controller provides better performance than LQR.