Efficient global sensitivity-based model calibration of a high-shear wet granulation process

Yeardley, A.S. orcid.org/0000-0001-7996-0589, Bellinghausen, S., Milton, R. et al. (2 more authors) (2021) Efficient global sensitivity-based model calibration of a high-shear wet granulation process. Chemical Engineering Science, 238. 116569. ISSN 0009-2509

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © 2021 Elsevier. This is an author produced version of a paper subsequently published in Chemical Engineering Science. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords: Gaussian Process; Sobol’ Indices; Global Sensitivity Analysis; Model Calibration; Granulation; Experimental Design
Dates:
  • Accepted: 2 March 2021
  • Published (online): 11 March 2021
  • Published: 20 July 2021
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Chemical and Biological Engineering (Sheffield)
Funding Information:
FunderGrant number
F. Hoffmann-la Roche LtdN/A
Depositing User: Symplectic Sheffield
Date Deposited: 12 Mar 2021 08:30
Last Modified: 11 Mar 2022 01:38
Status: Published
Publisher: Elsevier
Refereed: Yes
Identification Number: https://doi.org/10.1016/j.ces.2021.116569

Export

Statistics