Evaluation of zero-dimensional stochastic reactor modelling for a Diesel engine application
- Submitting institution
-
The University of Bradford
- Unit of assessment
- 12 - Engineering
- Output identifier
- 100
- Type
- D - Journal article
- DOI
-
10.1177/1468087419845823
- Title of journal
- International Journal of Engine Research
- Article number
- -
- First page
- 592
- Volume
- 21
- Issue
- 4
- ISSN
- 1468-0874
- Open access status
- Compliant
- Month of publication
- -
- Year of publication
- 2019
- URL
-
https://journals.sagepub.com/doi/10.1177/1468087419845823
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
4
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Significant output from a Jaguar Land Rover funded PhD project (2016-2019). The research outcomes referring to the capability of CMCL SRM suite for NOx engine out emission predictions have supported decisions related to the selection of engine modelling and simulation tools for NOx emissions within Powertrain Research (JLR contacts Dr Oscar Garcia-Afonso, ogarciaa@jaguarlandrover.com, Efe Tunc etunc1@jaguarlandrover.com). The paper introduces significant methodological contribution for sensitivity studies and automatic tuning/validation of engine simulation modelling which will be valuable to practitioners and academic researchers alike.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
