Geometric Modeling of Fractal Forms for CAD

1. Auflage 2021
ISBN: 978-1-78630-040-9
Verlag: Wiley

Buch, Englisch, 256 Seiten, Format (B × H): 161 mm x 240 mm, Gewicht: 542 g

Designing and controlling complex shapes like porous volumes and rough surfaces is a challenge. Fractal geometry is an interesting approach which considerably simplify the problem. Even though underlying concepts reduce the set possible shapes, they generate a surprising variety of shapes.

In this book we present a formalism to design such complex objects for geometric aided geometry design applications. The goal of this formalism is to provide to the end user the possibility to manipulate fractal objects as a standard euclidean object with standard tools of CAD system. This formalism encompass curves, surfaces, volumes, as well as NURBS and subdivision surfaces. All theoretical and practical aspects are developed, from the design up to 3D printing.

Autoren/Hrsg.

Gentil, Christian

Gouaty, Gilles

Sokolov, Dmitry

Fachgebiete

• Mathematik | Informatik EDV | Informatik Professionelle Anwendung Computer-Aided Design (CAD)
• Technische Wissenschaften Technik Allgemein Konstruktionslehre und -technik
• Technische Wissenschaften Maschinenbau | Werkstoffkunde Maschinenbau Konstruktionslehre, Bauelemente, CAD

Inhaltsverzeichnis

1 Introduction to fractal geometry

2 Model BCIF

2.1 Iterated Function System (IFS)

2.2 Controlled Iterated Function System (CIFS)

2.3 Boundary Controlled Iterated Function System (BCIFS)

3 Example of design

3.1 curves and wire-frames

3.2 surfaces and laces

3.3 volumes and porous objects

3.4 Trees

4 Topological combination

5 Efficient approximation for 3D printing

6 NURBS and Subdivision surfaces and (BCIFS)

7 Applications

Über Autor(innen)

Christian Gentil is Professor at the University of Burgundy Franche-Comté, France, and Head of the geometric modeling team of the LIB.

Gilles Gouaty is an engineer at the University of Burgundy Franche-Comté, France, and a specialist in iterative geometric modeling.

Dmitry Sokolov is a teacher-researcher at LORIA at the University of Lorraine, France, and Head of the INRIA PIXEL research team.