Shape Interrogation for Computer Aided Design and Manufacturing
by Nicholas M. Patrikalakis, Takashi Maekawa
Publisher: Springer 2009
ISBN/ASIN: 364204073X
ISBN-13: 9783642040733
Number of pages: 408
Description:
Shape interrogation is the process of extraction of information from a geometric model. It is a fundamental component of Computer Aided Design and Manufacturing (CAD/CAM) systems. The authors focus on shape interrogation of geometric models bounded by free-form surfaces. Free-form surfaces, also called sculptured surfaces, are widely used in the bodies of ships, automobiles and aircraft, which have both functionality and attractive shape requirements.
Download or read it online for free here:
Read online
(online html)
Similar books
Simulating Humans: Computer Graphics Animation and Controlby N. I. Badler, C. B. Phillips, B. L. Webber - Oxford University Press, USA
This volume presents the problem of providing a surrogate or synthetic human for designers and engineers. The book is intended for engineers interested in understanding how a computer surrogate human can augment their analyses of designed environments.
(23834 views)
Modeling with Data: Tools and Techniques for Scientific Computingby Ben Klemens - Princeton University Press
The author explains how to execute computationally intensive analysis on large data sets, showing how to determine the best methods. The book will interest researchers and graduates in the social sciences, engineering, economics, and mathematics.
(16561 views)
Synchronization and Linearity: An Algebra for Discrete Event Systemsby F. Baccelli, G. Cohen, G. J. Olsder, J. Quadrat - John Wiley & Sons
Presents new modelling and analysis techniques for the description of discrete event dynamic systems. Created within the text is a calculus which allows the derivation of analytical tools for computing the time behavior of this type of system.
(13667 views)
Computer Simulation Techniques - The Definitive Introductionby Harry Perros - NC State University
The generation of pseudo-random numbers, the generation of stochastic variates, simulation designs, estimation techniques for analyzing endogenously created data, validation of a simulation model, variance reduction techniques, etc.
(16617 views)