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Title: Heat-transfer coefficients in agitated vessels. Sensible heat models

Abstract

Transient models for sensible heat were developed to assess the thermal performance of agitated vessels with coils and jackets. Performance is quantified with the computation of heat-transfer coefficients by introducing vessel heating and cooling data into model equations. Of the two model categories studied, differential and macroscopic, the latter is preferred due to mathematical simplicity and lower sensitivity to experimental data variability.

Authors:
 [1]
  1. Ashland Chemical Co., Columbus, OH (United States). Research and Development Dept.
Publication Date:
OSTI Identifier:
183105
Resource Type:
Journal Article
Journal Name:
Industrial and Engineering Chemistry Research
Additional Journal Information:
Journal Volume: 34; Journal Issue: 12; Other Information: PBD: Dec 1995
Country of Publication:
United States
Language:
English
Subject:
42 ENGINEERING NOT INCLUDED IN OTHER CATEGORIES; CONTAINERS; MIXING; HEAT TRANSFER; MATHEMATICAL MODELS; THERMAL ANALYSIS; ENERGY BALANCE

Citation Formats

Kumpinsky, E. Heat-transfer coefficients in agitated vessels. Sensible heat models. United States: N. p., 1995. Web. doi:10.1021/ie00039a052.
Kumpinsky, E. Heat-transfer coefficients in agitated vessels. Sensible heat models. United States. https://doi.org/10.1021/ie00039a052
Kumpinsky, E. 1995. "Heat-transfer coefficients in agitated vessels. Sensible heat models". United States. https://doi.org/10.1021/ie00039a052.
@article{osti_183105,
title = {Heat-transfer coefficients in agitated vessels. Sensible heat models},
author = {Kumpinsky, E},
abstractNote = {Transient models for sensible heat were developed to assess the thermal performance of agitated vessels with coils and jackets. Performance is quantified with the computation of heat-transfer coefficients by introducing vessel heating and cooling data into model equations. Of the two model categories studied, differential and macroscopic, the latter is preferred due to mathematical simplicity and lower sensitivity to experimental data variability.},
doi = {10.1021/ie00039a052},
url = {https://www.osti.gov/biblio/183105}, journal = {Industrial and Engineering Chemistry Research},
number = 12,
volume = 34,
place = {United States},
year = {Fri Dec 01 00:00:00 EST 1995},
month = {Fri Dec 01 00:00:00 EST 1995}
}