Conjugate heat transfer predictions for subcooled boiling flow in a horizontal channel using a volume-of-fluid framework
                        
                        
                            - Submitting institution
 
                            - 
                                University of Sussex
                                
 
                            
 
                            - Unit of assessment
 
                            - 12 - Engineering
 
                            - Output identifier
 
                            - 1630_73637
 
                            - Type
 
                            - D - Journal article
 
                                - DOI
 
                                - 
                                        10.1115/1.4040358
                                
 
                                - Title of journal
 
                                - Journal of Heat Transfer
 
                                - Article number
 
                                - a104501
 
                                - First page
 
                                - -
 
                                - Volume
 
                                - 140
 
                                - Issue
 
                                - 10
 
                                - ISSN
 
                                - 0022-1481
 
                                - Open access status
 
                                - Compliant
 
                            - Month of publication
 
                            - June
 
                            - Year of publication
 
                            - 2018
 
                            - URL
 
                            - 
                                    
                                        https://doi.org/10.1115/1.4040358
                                    
                            
 
                            - 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
 
                            - 
                                6
                            
 
                            - Research group(s)
 
                            - 
-                            
 
                            - Proposed double-weighted
 
                            - No
 
                            - Reserve for an output with double weighting
 
                            - No
 
                            - Additional information
 
                            - Automotive IC Engine evaporative cooling system concepts, for application to hybrid electric vehicle design, require computational fluid dynamics (CFD) solutions of 2-Phase flow across a wide range, including where nucleate boiling occurs. Two different CFD approaches i.e. RANS and LES are used to study boiling in a simple channel. A multi-phase mixture modelling approach, with a Volume-of-Fluid interface-capturing method, has been employed. This capability could have a significant impact on future design of IC engine cooling systems. The work is funded by EPSRC with partners: Ford, Ricardo, and Toyota, under contract EP/M005755/1 Contact: Dr Cedric Rouaud. Email: Cedric.Rouaud@ricardo.com
 
                            - Author contribution statement
 
                            - -
 
                            - Non-English
 
                            - No
 
                            - English abstract
 
                            - -