scispace - formally typeset
J

James R. Fair

Researcher at University of Texas at Austin

Publications -  81
Citations -  3893

James R. Fair is an academic researcher from University of Texas at Austin. The author has contributed to research in topics: Distillation & Packed bed. The author has an hindex of 30, co-authored 81 publications receiving 3670 citations.

Papers
More filters
Journal ArticleDOI

Distillation Columns Containing Structured Packings: A Comprehensive Model for Their Performance. 2. Mass-Transfer Model

TL;DR: In this paper, a mass transfer model was proposed for a variety of commercial structured packings for distillation column service with distillation pressures ranging from 0.33 to 20.4 bar.
Journal ArticleDOI

Distillation columns containing structured packings: a comprehensive model for their performance. 1. Hydraulic models

TL;DR: In this article, a mechanistically-based model has been developed to aid the analysis and design of distillation columns containing structured packings of the corrugated plate type, which encompasses the important, and related, parameters of liquid holdup, pressure drop, flooding, and mass transfer efficiency.
Journal Article

Mass transfer in gauze packings

TL;DR: This paper met au point de nouvelles equations for refleter l'efficacite des donnees transferts de masse pour les garnissages en toiles metalliques lorsque l'on se trouve dans les conditions de distillation.
Book

Distillation: Principles and Practices

TL;DR: Distillation has been used for separating liquid mixtures for more than two thousand years, and it continues to be the most widely used separation technique in key industries throughout the industrialized world as mentioned in this paper.
Journal ArticleDOI

General model for prediction of pressure drop and capacity of countercurrent gas/liquid packed columns

TL;DR: In this article, a generalized model was developed for the prediction of pressure drop and flooding in packed columns in which gas and liquid flow countercurrently, and validated for a wide variety of packings, both random and structured.