Non-deterministic analysis of a liquid polymeric-film drying process
In this study the authors employed the Monte Carlo/Latin Hypercube sampling technique to generate input parameters for a liquid polymeric-film drying model with prescribed uncertainty distributions. The one-dimensional drying model employed in this study was that developed by Cairncross et al. They found that the non-deterministic analysis with Monte Carlo/Latin Hypercube sampling provides a useful tool for characterizing the two responses (residual solvent volume and the maximum solvent partial vapor pressure) of a liquid polymeric-film drying process. More precisely, they found that the non-deterministic analysis via Monte Carlo/Latin Hypercube sampling not only provides estimates of statistical variations of the response variables but also yields more realistic estimates of mean values, which can differ significantly from those calculated using deterministic simulation. For input-parameter uncertainties in the range from 2 to 10% of their respective means, variations of response variables were found to be comparable to the mean values.
- Research Organization:
- Sandia National Labs., Albuquerque, NM (United States)
- Sponsoring Organization:
- USDOE, Washington, DC (United States)
- DOE Contract Number:
- AC04-94AL85000
- OSTI ID:
- 468574
- Report Number(s):
- SAND--97-0732C; CONF-970592--1; ON: DE97004040
- Country of Publication:
- United States
- Language:
- English
Similar Records
A comparison of uncertainty analysis methods using a groundwater flow model
Uncertainty in future global energy use and fossil fuel CO{sub 2} emissions 1975 to 2075: Appendices C--F
Fortran 77 program and user's guide for the generation of Latin hypercube and random samples for use with computer models
Technical Report
·
Wed Jun 01 00:00:00 EDT 1988
·
OSTI ID:7179168
Uncertainty in future global energy use and fossil fuel CO{sub 2} emissions 1975 to 2075: Appendices C--F
Technical Report
·
Sat Nov 30 23:00:00 EST 1985
·
OSTI ID:537321
Fortran 77 program and user's guide for the generation of Latin hypercube and random samples for use with computer models
Technical Report
·
Wed Feb 29 23:00:00 EST 1984
·
OSTI ID:7091452