Dr Sam Rolland

Uwch-ddarlithydd

Aerospace Engineering

+44 (0) 1792 606871

s.rolland@abertawe.ac.uk

Swyddfa Academaidd - A_012
Llawr Gwaelod
Adeilad Canolog Peirianneg
Campws y Bae

Ar gael ar gyfer Goruchwyliaeth Ôl-raddedig

Dolenni Ymchwil

https://orcid.org/0000-0003-0455-5620

ResearchGate

Google Scholar

ResearcherID

Trosolwg

Cwblhaodd Dr Rolland ei MEng yn 2003 a graddiodd gyda PhD yn 2008. Mae ei ymchwil yn canolbwyntio'n hanesyddol ar ddilysu dulliau rhifiadol i'w defnyddio mewn cymwysiadau diwydiannol.

Yn ôl-raddedig, gweithiodd Dr Rolland ar fodelu cywasgu powdr gyda'r Dull Elfen Feidraidd, gan ddilysu modelau dadffurfio mawr a'u defnyddio gyda noddwyr diwydiannol.

Yn ei ymchwil ôl-ddoethurol, gweithiodd Dr Rolland yn bennaf ar Ddynameg Hylif Cyfrifiannol gyda chymwysiadau'n bennaf mewn ynni gwynt a modelu llif gwaed, tra'n cadw cysylltiadau gyda’r diwydiant gweithgynhyrchu. Daeth yn rheolwr prosiect ar gyfer ASTUTE ym Mhrifysgol Abertawe yn 2013 ac ymunodd â'r garfan academaidd yn 2016.

Mae Dr Rolland wedi goruchwylio gwaith ôl-raddedig a doethurol mewn cydweithrediad â diwydiant. Mae ei rôl arweiniol yng nghynllun Blwyddyn mewn Diwydiant y Coleg yn rhoi pleser iddo wrth weld israddedigion yn tyfu'n weithwyr proffesiynol ifanc.

Mae’n chwilio am gyfleoedd newydd bob amser i gydweithio â'r diwydiant ar lefelau israddedig, ôl-raddedig ac ôl-ddoethurol.

Meysydd Arbenigedd

Dynameg Hylif Cyfrifiannol
Ynni Gwynt
Modelu llif gwaed
Haemorheoleg
Haemolysis

Uchafbwyntiau Gyrfa

Prif Wobrau

“Gwobr Myfyriwr Gorau” 2003 IMechE Frederic Barnes Waldron

Cyhoeddiadau

Uchafbwyntiau Ymchwil

D’Onofrio, C., van Loon, R., Rolland, S., Johnston, R., North, L., Brown, S., Phillips, R., Sienz, J., Sienz, J., Johnston, R., van Loon, R., Rolland, S., & D'Onofrio, C. (2017). Three-dimensional computational model of a blood oxygenator reconstructed from micro-CT scans. Medical Engineering & Physics
https://doi.org/10.1016/j.medengphy.2017.06.035, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa34491
Tamaddon Jahromi, H., Rolland, S., Jones, J., Coccarelli, A., Sazonov, I., Kershaw, C., Tizaoui, C., Holliman, P., Worsley, D., Thomas, H., & Nithiarasu, P. (2021). Modelling ozone disinfection process for creating COVID-19 secure spaces. International Journal of Numerical Methods for Heat & Fluid Flow, 32(1)
https://doi.org/10.1108/hff-12-2020-0797, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa56337
Tamaddon Jahromi, H., Sazonov, I., Jones, J., Coccarelli, A., Rolland, S., Chakshu, N., Thomas, H., & Nithiarasu, P. (2022). Predicting the airborne microbial transmission via human breath particles using a gated recurrent units neural network. International Journal of Numerical Methods for Heat & Fluid Flow, 32(9), 2964-2981.
https://doi.org/10.1108/hff-07-2021-0498, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa58941
Rolland, S., Tamaddon Jahromi, H., Jones, J., Coccarelli, A., Sazonov, I., Kershaw, C., Tizaoui, C., Holliman, P., Worsley, D., Thomas, H., & Nithiarasu, P. (2012). Modelling Ozone Disinfection to Prevent Covid-19 Transmission. In Mathematics in Industry (pp. 535-541). Springer International Publishing.
https://doi.org/10.1007/978-3-031-11818-0_69, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62181
Rolland, S., Jones, J., & Bunting, G. (2023). The impact of a year in industry on academic outcomes in higher education (engineering). European Journal of Engineering Education, 48(4), 1-14.
https://doi.org/10.1080/03043797.2023.2194244, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa63056
http://dx.doi.org/10.1080/03043797.2023.2194244
Meglio, A., Massarotti, N., Rolland, S., & Nithiarasu, P. (2024). Analysis of non-linear losses in a parallel plate thermoacoustic stack. International Journal of Numerical Methods for Heat & Fluid Flow, 34(1), 353-377.
https://doi.org/10.1108/hff-02-2023-0071, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa64795
Tweed, J., Lewis, R., Gethin, D., Rolland, S., Gethin, D., & Rolland, S. (2010). Failure risk in powder-compacted parts. Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering, 224(3), 203-212.
https://doi.org/10.1243/09544089JPME315, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa6149
Rolland, S., Mosbah, P., Gethin, D., Lewis, R., Gethin, D., & Rolland, S. (2012). Lode dependency in the cold die powder compaction process. Powder Technology, 221, 123-136.
https://doi.org/10.1016/j.powtec.2011.12.044, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa14255
Rolland, S., Thatcher, M., Newton, W., Williams, A., Croft, T., Gethin, D., Cross, M., Cross, M., Croft, N., Williams, A., & Rolland, S. (2013). Benchmark experiments for simulations of a vertical axis wind turbine. Applied Energy, 111, 1183-1194.
https://doi.org/10.1016/j.apenergy.2013.06.042, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa15624
Rolland, S., Newton, W., Williams, A., Croft, T., Gethin, D., Cross, M., Cross, M., Croft, N., Williams, A., & Rolland, S. (2013). Simulations technique for the design of a vertical axis wind turbine device with experimental validation. Applied Energy
https://doi.org/10.1016/j.apenergy.2013.04.026, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa15625

Holl Ymchwil

Erthyglau Cylchgronau

Meglio, A., Massarotti, N., Rolland, S., & Nithiarasu, P. (2024). Analysis of non-linear losses in a parallel plate thermoacoustic stack. International Journal of Numerical Methods for Heat & Fluid Flow, 34(1), 353-377.
https://doi.org/10.1108/hff-02-2023-0071, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa64795
Rolland, S., Jones, J., & Bunting, G. (2023). The impact of a year in industry on academic outcomes in higher education (engineering). European Journal of Engineering Education, 48(4), 1-14.
https://doi.org/10.1080/03043797.2023.2194244, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa63056
http://dx.doi.org/10.1080/03043797.2023.2194244
Tamaddon Jahromi, H., Sazonov, I., Jones, J., Coccarelli, A., Rolland, S., Chakshu, N., Thomas, H., & Nithiarasu, P. (2022). Predicting the airborne microbial transmission via human breath particles using a gated recurrent units neural network. International Journal of Numerical Methods for Heat & Fluid Flow, 32(9), 2964-2981.
https://doi.org/10.1108/hff-07-2021-0498, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa58941
Tamaddon Jahromi, H., Rolland, S., Jones, J., Coccarelli, A., Sazonov, I., Kershaw, C., Tizaoui, C., Holliman, P., Worsley, D., Thomas, H., & Nithiarasu, P. (2021). Modelling ozone disinfection process for creating COVID-19 secure spaces. International Journal of Numerical Methods for Heat & Fluid Flow, 32(1)
https://doi.org/10.1108/hff-12-2020-0797, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa56337
D’Onofrio, C., van Loon, R., Rolland, S., Johnston, R., North, L., Brown, S., Phillips, R., Sienz, J., Sienz, J., Johnston, R., van Loon, R., Rolland, S., & D'Onofrio, C. (2017). Three-dimensional computational model of a blood oxygenator reconstructed from micro-CT scans. Medical Engineering & Physics
https://doi.org/10.1016/j.medengphy.2017.06.035, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa34491
Kear, M., Evans, B., Ellis, R., & Rolland, S. (2016). Computational aerodynamic optimisation of vertical axis wind turbine blades. Applied Mathematical Modelling, 40(2), 1038-1051.
https://doi.org/10.1016/j.apm.2015.07.001, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa22343
S.A., R., M., T., R., E., B., G., T.N., C., M., C., Croft, N., & Rolland, S. (2015). Performance assessment of a vertical axis turbine in a marine current flume tank and CFD modelling. International Journal of Marine Energy, 12, 35-45.
https://doi.org/10.1016/j.ijome.2015.05.003, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa25901
Rolland, S., Thatcher, M., Newton, W., Williams, A., Croft, T., Gethin, D., Cross, M., Cross, M., Croft, N., Williams, A., & Rolland, S. (2013). Benchmark experiments for simulations of a vertical axis wind turbine. Applied Energy, 111, 1183-1194.
https://doi.org/10.1016/j.apenergy.2013.06.042, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa15624
Rolland, S., Newton, W., Williams, A., Croft, T., Gethin, D., Cross, M., Cross, M., Croft, N., Williams, A., & Rolland, S. (2013). Simulations technique for the design of a vertical axis wind turbine device with experimental validation. Applied Energy
https://doi.org/10.1016/j.apenergy.2013.04.026, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa15625
Rolland, S., Mosbah, P., Gethin, D., Lewis, R., Gethin, D., & Rolland, S. (2012). Lode dependency in the cold die powder compaction process. Powder Technology, 221, 123-136.
https://doi.org/10.1016/j.powtec.2011.12.044, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa14255
Rolland, S., Gethin, D., Lewis, R., Tweed, J., & Rolland, S. (2011). Constitutive model for powders with characterisation of low pressure region of yield surface. Powder Metallurgy, 54(5), 608-613.
https://doi.org/10.1179/1743290110y.0000000007, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa28328
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=ORCID&SrcApp=OrcidOrg&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=WOS:000298033200011&KeyUID=WOS:000298033200011
Tweed, J., Lewis, R., Gethin, D., Rolland, S., Gethin, D., & Rolland, S. (2010). Failure risk in powder-compacted parts. Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering, 224(3), 203-212.
https://doi.org/10.1243/09544089JPME315, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa6149
Rolland, S., Gethin, D., Lewis, R., Tweed, J., & Rolland, S. (2010). Characterisation of powders in low pressure region of yield surface. Powder Metallurgy, 53(4), 340-351.
https://doi.org/10.1179/003258910x12680382874526, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa28330
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=ORCID&SrcApp=OrcidOrg&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=WOS:000285455100017&KeyUID=WOS:000285455100017

Penodau Llyfrau

Wood, C., Matsenjwa, B., Hada, J., Rolland, S., Samaras, V., Jones, J., Bunting, G., & Hobson, I. (2024). Industry Academic Partnerships Leading to Better Preparation of Graduates for Employment. In Rohit Kandakatla, Sushma Kulkarni, Michael E. Auer (Ed.), Lecture Notes in Networks and Systems (pp. 183-203). Springer Nature Switzerland
https://doi.org/10.1007/978-3-031-68282-7_10, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa67928
Brewin, P., Coube, O., Gethin, D., Hodgson, H., Rolland, S., & Rolland, S. (2008). Modelling of Powder Die Compaction. Applications in Industry (pp. 243-258).
https://doi.org/10.1007/978-1-84628-099-3_15, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa28331

Cyfraniadau Cynadleddau

Rolland, S., Tamaddon Jahromi, H., Jones, J., Coccarelli, A., Sazonov, I., Kershaw, C., Tizaoui, C., Holliman, P., Worsley, D., Thomas, H., & Nithiarasu, P. (2012). Modelling Ozone Disinfection to Prevent Covid-19 Transmission. In Mathematics in Industry (pp. 535-541). Springer International Publishing.
https://doi.org/10.1007/978-3-031-11818-0_69, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62181

Cynnyrch Ymchwil Arall

Bunting, G., Clarke, N., & Rolland, S. (2023). A Case Study Compendium: Contemporary practices and initiatives in employability: Development of partnerships with students to co-design employability initiatives and resources
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa65063
https://advance-he.ac.uk/knowledge-hub/case-study-compendium-contemporary-practices-and-initiatives-employability?_ga=2.212634324.1548324821.1710336807-627579335.1710336807

Goruchwyliaeth

Prediction of Acousto-fluid-structure interaction of orifice restriction plates (dyfarnwyd 2023)

EngD

Goruchwyliwr arall: Prof Antonio Gil
Efficient and open-source tool for the prediction of thermowell structural response (dyfarnwyd 2024)

MPhil

Goruchwyliwr arall: Prof Antonio Gil

Modiwlau a Addysgir

CS-201 Placement Preparation: Science Industrial Year

This generic cross-disciplinary module is a mandatory module for all students who have enrolled (or transferred) onto the Science Industrial Placement Year. The module focuses on the underpinning and fundamental requisites required to gain, enter and progress effectively through an industrial placement. Learners will be introduced to (a) sourcing placements, CV writing, and application techniques; (b) Interview techniques, how to pitch yourself and be successful; (c) workplace fundamentals and IP awareness, behaviors and expectations; and, (d) Key employability skills; getting the most from your Industrial Placement. This module is only mandatory for students who have enrolled on a Science Industrial Year programme of study or who transfer up to the end of level 5.
EG-135 Placement Preparation: Science and Engineering Year in Industry

This generic cross-disciplinary module is for all students who have enrolled (or transferred) onto the Faculty of Science and Engineering Year in Industry scheme. The module focuses on the underpinning and fundamental requisites required to gain, enter and progress effectively through an industrial placement. Learners will be introduced to a) sourcing placements, CV writing and application techniques; (b) interview techniques - how to pitch yourself and be successful; (c) workplace fundamentals and IP awareness, behaviours and expectations; and (d) key employability skills; getting the most from your Industrial Placement.
EG-233 Placement Preparation: Engineering Industrial Year

This generic cross-disciplinary module is for all students who have enrolled (or transferred) onto the Engineering Year in Industry scheme. The module focuses on the underpinning and fundamental requisites required to gain, enter and progress effectively through an industrial placement. Learners will be introduced to a) sourcing placements, CV writing and application techniques; (b) interview techniques - how to pitch yourself and be successful; (c) workplace fundamentals and IP awareness, behaviours and expectations; (d) key employability skills; getting the most from your Industrial Placement; and (e) health and safety in the workplace.
EG-E01 Industrial Placement Year (Engineering)

The industrial placement year (often referred to as the Year in Industry) takes place after Year 2 for BEng students and after Year 2 or Year 3 for MEng students. Students may enrol on programmes with an industrial placement year at the beginning of their studies, subject to appropriate enhanced entry qualifications, or may transfer to such a programme at the start of Year 2 (for BEng students) or at the start of Year 2/Year 3 (for MEng students). Year in Industry preparation starts in Year 1, students on the year in industry schemes are required to attend placement preparation activities in year 1, TB2. CVs will be submitted and vetted in Year 1. In Year 2 students are required to attend preparatory lectures, that cover various topics, such as job applications, interview techniques, telephone interviews, etc. Please note that these lectures are delivered in Year 2 in EG-233. MEng students are permitted to take their intercalary year after Year 2 or Year 3; however the preparatory sessions are only run in Year 2, this is due to timetabling matters. The onus to apply and find a placement is that of the student. If successful in attaining a placement, a student will complete a minimum of 40 weeks in a paid placement in companies across the UK or abroad. All placements sourced by the students are subject to the University's approval to be registered as a year in industry, notably, health and safety information, and role description will need to be disclosed by the placement host and scrutinised. The aim of the module is to document the student¿s professional development along the Engineering Council UK-SPEC guidelines. The mode of assessment is described in the relevant section.
EG-M190 Socio-Technical Engineering

There is an increasing need for engineers to work towards complex, so called 'wicked problems', for example the secure and sustainable supply of energy, clean water and digital services. This necessitates a holistic approach and involves making decisions based on a range of different factors, and consideration of economic, ethical, social, political and environmental, as well as technical limitations. Obtaining and making sense of such information involves types of knowledge and the use of tools and techniques that have not always been traditionally used within engineering disciplines. For example, ethical issues concerning negative impacts on environment or society may raise questions of value, duty or morality and requires the application of moral reasoning rather than scientific reasoning. During this module we will introduce and explore these areas in an interactive way by making use of a variety of engineering case studies which exemplify the need to consider non-technical aspects of engineering projects. The module will also develop skills in qualitative research approaches, critical thinking, communications skills and the use of frameworks to help in our engineering decision making. We will also consider the role of the engineer in policy making.
EGH304 Finite Element Method

This module provides a concise introduction to the elementary concepts and methods of finite element analysis, with applications to heat flow, solid mechanics, structural mechanics and other engineering problems. It also provides practice in using finite element software/codes.

Dr Sam Rolland

Rhif ffôn

Cyfeiriad ebost

LinkedIn Account

Dolenni Ymchwil

Trosolwg

Meysydd Arbenigedd

Uchafbwyntiau Gyrfa

Cyhoeddiadau

Uchafbwyntiau Ymchwil

Holl Ymchwil

Erthyglau Cylchgronau

Penodau Llyfrau

Cyfraniadau Cynadleddau

Cynnyrch Ymchwil Arall

Goruchwyliaeth

Prediction of Acousto-fluid-structure interaction of orifice restriction plates (dyfarnwyd 2023)

Efficient and open-source tool for the prediction of thermowell structural response (dyfarnwyd 2024)

Modiwlau a Addysgir

CS-201 Placement Preparation: Science Industrial Year

EG-135 Placement Preparation: Science and Engineering Year in Industry

EG-233 Placement Preparation: Engineering Industrial Year

EG-E01 Industrial Placement Year (Engineering)

EG-M190 Socio-Technical Engineering

EGH304 Finite Element Method