Fr. 626.00

Modeling and Simulation for Material Selection and Mechanical Design

English · Hardback

Shipping usually within 3 to 5 weeks

Description

Read more










This reference describes advanced computer modeling and simulation procedures to predict material properties and component design including mechanical properties, microstructural evolution, and materials behavior and performance. The book illustrates the most effective modeling and simulation technologies relating to surface-engineered compounds, fastener design, quenching and tempering during heat treatment, and residual stresses and distortion during forging, casting, and heat treatment. Written by internationally recognized experts in the field, it enables researchers to enhance engineering processes and reduce production costs in materials and component development.


List of contents

Preface, Contributors, 1. A Mathematical Model for Predicting Microstructural Evolution and Mechanical Properties of Hot-Rolled Steels, 2. Design Simulation of Kinetics of Multicomponent Grain Boundary Segregations in the Engineering Steels Under Quenching and Tempering, 3. Designing for Control of Residual Stress and Distortion, 4. Modeling and Simulation of Mechanical Behvior, 5. Tribology and the Design of Surface-Engineered Materials for Cutting Tool Applications, 6. Designing Fastening Systems, Index

Summary

Describes computer modeling and simulation procedures to predict material properties and component design including mechanical properties, microstructural evolution and materials behavior and performance. This book illustrates modeling and simulation technologies relating to surface-engineered compounds, fastener design and heat treatment.

Customer reviews

No reviews have been written for this item yet. Write the first review and be helpful to other users when they decide on a purchase.

Write a review

Thumbs up or thumbs down? Write your own review.

For messages to CeDe.ch please use the contact form.

The input fields marked * are obligatory

By submitting this form you agree to our data privacy statement.