The Software - TEXSTAN is a teaching tool for solving convective transport of heat, mass, and momentum transfer problems in numerous flow geometries. We have designed it to meet three major objectives:
The Website - Information and navigation is straightforward. When you find a blue word or phrase within the text, place your cursor over it and click - a window will pop for a definition or explanation. The orange headings redirect you to that section of the website. Our website is organized into a number of large sections, as suggested by the navigation bar across the top of the header, and within each section are a number of topics, and their subtopics are listed in home: sitemap:
The Textbook - TEXSTAN has been designed to accompany CHMT, our graduate-level textbook Convective Heat and Mass Transfer, (currently 4th ed., McGraw-Hill, 2005), written by William M. Kays (Stanford University), Michael E. Crawford (The University of Texas at Austin), and Bernhard Weigand (Universität Stuttgart). Our textbook presents a strong theoretical basis for the subject of convective heat and mass transfer by focusing on boundary layer theory, while encouraging the use of a numerically-based computational approach to solving problems in parallel with classical problem-solving approaches. TEXSTAN contains the data structure needed to describe and solve boundary layer convective problems, and most of the problems within the textbook can be solved using TEXSTAN.
How to Get Started? - Read the TEXSTAN general overview and then overview: setup and run TEXSTAN and then "go for it" - jump into the details of basic dataset construction. Examine the boundary layer section for an example of an external flow dataset and the pipe flow section for an example of an internal flow dataset. For a complex and interesting benchmark dataset study turbine blade: construction of the dataset to create v700_5e.dat.txt. As you work through how to construct any dataset, place your cursor over the blue TEXSTAN input variables and click to see their definitions, and at any time you can use input variables to look up their definitions.