Visualization of Fields and Applications in Engineering

Name: Visualization of Fields and Applications in Engineering
Rating: 4.4
ISBN: 9780470973974

ISBN: 9780470973974 出版年：2011 页码：384 Stephen Tou Wiley

知识网络

内容简介

Driven by advances in computer technology, engineering analysis has developed rapidly and extensively in recent times; Visualization of Fields and Applications in Engineering presents the basic techniques for tensor field visualization and mapping of engineering data. Focusing on the fundamental aspects of post processing databases and applications outputs, the author explores existing theories and their integration in tensor field visualization and analysis. The subject covers fundamental theories through to integrated, multi-disciplinary technologies with practical applications in engineering, computer /general sciences. Visualization of Fields and Applications in Engineering is suitable for academic use and to serve as a source of reference. It will appeal to those who work in the engineering and science professions or in pursuit of academic training/ research. Offers a unique engineering approach to basic techniques for tensor field visualization and mapping Collates together material currently disseminated throughout the literature into one accessible point of reference Presents examples with applications beyond and across many disciplines.

Amazon评论

Daniel GarcÃa

Excelente libro.

JR Physics

I expected from the title that this book would cover visualization techniques that might be useful to extract useful information from three-dimensional simulations. The book is everything but. For the most part, the book gives introductions into various engineering topics such as stream functions, complex analysis, conformal mapping, or the vorticity equation. Much of the book addresses various mapping techniques between representation spaces, but with virtually no explanation why they would be useful. The actual "visualization" is mostly 2d contours, with a few isosurface renderings and outright primitive 3d projections. No color whatsoever. The quality of these is extremely poor (How could one possibly extract any information from Figure 8.4?). Most limiting is the fact that virtually all examples are 2d and analytical. Thus, the methods presented are mostly useless for gridded data. Point in case are "critical points", which are explained only in 2d, and the book does not even give a hint as to finding critical points in gridded data, let alone advice how to visualize them. All the book shows is SKETCHES of critical points. That's about as poor as it gets for a book on visualization.

推荐图书