Professor Johann Sienz

Deputy Executive Dean

Faculty of Science and Engineering

+44 (0) 1792 295521

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Deputy Executive Dean - A_102
First Floor
Engineering Central
Bay Campus

Available For Postgraduate Supervision

Research Links

https://orcid.org/0000-0003-3136-5718

About

Professor Johann Sienz received the Diplom-Ingenieur (FH) in Mechanical Engineering with specialisation in Aerospace Engineering from the University of Applied Sciences Augsburg, Germany, in 1989, the BEng (Hons) from the University of Central Lancashire, UK, in 1989, the MSc in 1990 and the Ph.D. in 1994, both from Swansea University, UK.

He holds a Personal Chair in Engineering, Swansea University, where he is the Deputy Head and Director of Innovation and Engagement.

He directs the £14.3 Mio ASTUTE 2020 (Advanced Sustainable Manufacturing Technologies; www.astutewales.com), part-funded Welsh Government, five year, four university partnership operation. This is a follow-on operation to the original £26.7 Mio pan-Wales, eight university partnership, five year ASTUTE project that brought together academics and manufacturing companies to collaboratively work on advanced topics in manufacturing in sectors such as aerospace, automotive and medical engineering. This project generated over £200 Mio economic impact for the region. He also directs the EPSRC part-funded, £2.2 Mio industrial doctoral training centre MATTER (Manufacturing Advances Through Training Engineering Researchers), in which future engineering leaders will carry out collaborative research work with industry and will graduate with a doctorate. All his projects involve extensive collaboration with industry in the face of a rapidly changing technology base.

He is a Fellow of the Institution of Mechanical Engineers (FIMechE) and of the Royal Aeronautical Society (FRAeS), and a Member of the Institute of Mathematics and its Applications (MIMA). He is a Chartered Engineer (CEng) and a Chartered Mathematician (CMath).

He is Editor-in-Chief of the International Journal “Applied Mathematical Modelling” as well as being on the editorial board of several other international journals.

Publications

Research Highlights

Elrefaey, A., Gu, Y., James, J., Kneen, C., Crabbe, I., & Sienz, J. (2021). Analysis of a centreline failure of a lead alloy anode used in the copper electro-winning process. Engineering Failure Analysis, 120, 105057
https://doi.org/10.1016/j.engfailanal.2020.105057, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55812
Nie, Y., Cameron, I., Sienz, J., Lin, Y., & Sun, W. (2020). Coupled thermal-structural modelling and experimental validation of spiral mandrel die. The International Journal of Advanced Manufacturing Technology, 111(11-12), 3047-3061.
https://doi.org/10.1007/s00170-020-06183-z, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55701
Elrefaey, A., Gu, Y., James, J., Kneen, C., Crabbe, I., & Sienz, J. (2020). An investigation of the failure mechanisms of lead anodes in copper electrowinning cells. Engineering Failure Analysis, 108, 104273
https://doi.org/10.1016/j.engfailanal.2019.104273, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa52707
Ramos, D., Belblidia, F., & Sienz, J. (2019). New scanning strategy to reduce warpage in additive manufacturing. Additive Manufacturing
https://doi.org/10.1016/j.addma.2019.05.016, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50500
Li, C., Fahmy Abdo, A., & Sienz, J. (2019). An Augmented Reality Based Human-Robot Interaction Interface Using Kalman Filter Sensor Fusion. Sensors, 19(20), 4586
https://doi.org/10.3390/s19204586, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa52479
Li, C., Fahmy Abdo, A., & Sienz, J. (2019). Development of a Neural Network-Based Control System for the DLR-HIT II Robot Hand Using Leap Motion. IEEE Access, 7, 136914-136923.
https://doi.org/10.1109/ACCESS.2019.2942648, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa52484
Philo, A., Mehraban, S., Holmes, M., Sillars, S., Sutcliffe, C., Sienz, J., Brown, S., & Lavery, N. (2019). A pragmatic continuum level model for the prediction of the onset of keyholing in laser powder bed fusion. International Journal of Advanced Manufacturing Technology, 101(1-4), 697-714.
https://doi.org/10.1007/s00170-018-2770-7, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa45563
http://dx.doi.org/10.1007/s00170-018-2770-7
Zhang, L., Low, K., Belblidia, F., & Sienz, J. (2018). Uphill filling system for a bar-like casting. Journal of Materials Processing Technology, 262, 269-276.
https://doi.org/10.1016/j.jmatprotec.2018.06.036, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa40880
Aldoumani, N., Haddad Khodaparast, H., Giannetti, C., Abdallah, Z., Cameron, I., Friswell, M., & Sienz, J. (2018). A robust design of an innovative shaped rebar system using a novel uncertainty model. Structural and Multidisciplinary Optimization, 58(4), 1351-1365.
https://doi.org/10.1007/s00158-018-2050-z, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa40978
Li, C., Fahmy Abdo, A., Li, S., & Sienz, J. (2020). An Enhanced Robot Massage System in Smart Homes Using Force Sensing and a Dynamic Movement Primitive. Frontiers in Neurorobotics, 14
https://doi.org/10.3389/fnbot.2020.00030, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa54859

All Research

Journal Articles

Ellmer, N., Ortigosa, R., Martínez-Frutos, J., Poya, R., Sienz, J., & Gil, A. (2024). Stretch-Based Hyperelastic Constitutive Metamodels Via Gradient Enhanced Gaussian Predictors. Computer Methods in Applied Mechanics and Engineering, 432(B)
https://doi.org/10.1016/j.cma.2024.117408, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa67732
Chen, L., Li, C., Fahmy Abdo, A., & Sienz, J. (2024). GestureMoRo: an algorithm for autonomous mobile robot teleoperation based on gesture recognition. Scientific Reports, 14(1)
https://doi.org/10.1038/s41598-024-54488-w, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa66028
Zhang, X., Wang, Y., Li, C., Fahmy Abdo, A., & Sienz, J. (2024). Innovative multi-dimensional learning algorithm and experiment design for human-robot cooperation. Applied Mathematical Modelling, 127, 730-751.
https://doi.org/10.1016/j.apm.2024.01.001, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa65989
Zhang, L., Cameron, I., Ledger, P., Belblidia, F., Pearson, N., Charlton, P., & Sienz, J. (2023). Effect of Scanning Acceleration on the Leakage Signal in Magnetic Flux Leakage Type of Non-destructive Testing. Journal of Nondestructive Evaluation, 42(1)
https://doi.org/10.1007/s10921-023-00925-1, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62387
Francis, A., Li, S., Griffiths, C., & Sienz, J. (2022). Gas source localization and mapping with mobile robots: A review. Journal of Field Robotics, 39(8), 1341-1373.
https://doi.org/10.1002/rob.22109, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa60541
http://dx.doi.org/10.1002/rob.22109
Torquato, M., Martinez Ayuso, G., Fahmy Abdo, A., & Sienz, J. (2021). Multi-Objective Optimization of Electric Arc Furnace Using the Non-Dominated Sorting Genetic Algorithm II. IEEE Access, 9, 149715-149731.
https://doi.org/10.1109/access.2021.3125519, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa58644
Torquato, M., Lakshmanan, K., Narożańska, N., Potter, R., Williams, A., Belblidia, F., Fahmy Abdo, A., & Sienz, J. (2021). Cascade Optimisation of Battery Electric Vehicle Powertrains. Procedia Computer Science, 192, 592-601.
https://doi.org/10.1016/j.procs.2021.08.061, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa58380
Shao, Y., Fahmy Abdo, A., Li, M., Li, C., Zhao, W., & Sienz, J. (2021). Study on Magnetic Control Systems of Micro-Robots. Frontiers in Neuroscience, 15
https://doi.org/10.3389/fnins.2021.736730, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa58108
Williams, A., Torquato, M., Cameron, I., Fahmy Abdo, A., & Sienz, J. (2021). Survey of Energy Harvesting Technologies for Wireless Sensor Networks. IEEE Access, 9, 77493-77510.
https://doi.org/10.1109/access.2021.3083697, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa57098
Elrefaey, A., Gu, Y., James, J., Kneen, C., Crabbe, I., & Sienz, J. (2021). Analysis of a centreline failure of a lead alloy anode used in the copper electro-winning process. Engineering Failure Analysis, 120, 105057
https://doi.org/10.1016/j.engfailanal.2020.105057, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55812
Verma, R., Lobos-Ossandón, V., Merigó, J., Cancino, C., & Sienz, J. (2021). Forty years of applied mathematical modelling: A bibliometric study. Applied Mathematical Modelling, 89(2), 1177-1197.
https://doi.org/10.1016/j.apm.2020.07.004, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa54970
Nie, Y., Cameron, I., Sienz, J., Lin, Y., & Sun, W. (2020). Coupled thermal-structural modelling and experimental validation of spiral mandrel die. The International Journal of Advanced Manufacturing Technology, 111(11-12), 3047-3061.
https://doi.org/10.1007/s00170-020-06183-z, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55701
Aldoumani, N., Giannetti, C., Abdallah, Z., Belblidia, F., Haddad Khodaparast, H., Friswell, M., & Sienz, J. (2020). Optimisation of the Filament Winding Approach Using a Newly Developed In-House Uncertainty Model. Eng, 1(2), 122-136.
https://doi.org/10.3390/eng1020008, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa56686
Li, C., Fahmy Abdo, A., Li, S., & Sienz, J. (2020). An Enhanced Robot Massage System in Smart Homes Using Force Sensing and a Dynamic Movement Primitive. Frontiers in Neurorobotics, 14
https://doi.org/10.3389/fnbot.2020.00030, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa54859
Elrefaey, A., Gu, Y., James, J., Kneen, C., Crabbe, I., & Sienz, J. (2020). An investigation of the failure mechanisms of lead anodes in copper electrowinning cells. Engineering Failure Analysis, 108, 104273
https://doi.org/10.1016/j.engfailanal.2019.104273, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa52707
Ramos, D., Belblidia, F., & Sienz, J. (2019). New scanning strategy to reduce warpage in additive manufacturing. Additive Manufacturing
https://doi.org/10.1016/j.addma.2019.05.016, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50500
Li, C., Fahmy Abdo, A., & Sienz, J. (2019). An Augmented Reality Based Human-Robot Interaction Interface Using Kalman Filter Sensor Fusion. Sensors, 19(20), 4586
https://doi.org/10.3390/s19204586, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa52479
Li, C., Fahmy Abdo, A., & Sienz, J. (2019). Development of a Neural Network-Based Control System for the DLR-HIT II Robot Hand Using Leap Motion. IEEE Access, 7, 136914-136923.
https://doi.org/10.1109/ACCESS.2019.2942648, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa52484
Philo, A., Mehraban, S., Holmes, M., Sillars, S., Sutcliffe, C., Sienz, J., Brown, S., & Lavery, N. (2019). A pragmatic continuum level model for the prediction of the onset of keyholing in laser powder bed fusion. International Journal of Advanced Manufacturing Technology, 101(1-4), 697-714.
https://doi.org/10.1007/s00170-018-2770-7, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa45563
http://dx.doi.org/10.1007/s00170-018-2770-7
Zhang, L., Low, K., Belblidia, F., & Sienz, J. (2018). Uphill filling system for a bar-like casting. Journal of Materials Processing Technology, 262, 269-276.
https://doi.org/10.1016/j.jmatprotec.2018.06.036, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa40880
Aldoumani, N., Haddad Khodaparast, H., Giannetti, C., Abdallah, Z., Cameron, I., Friswell, M., & Sienz, J. (2018). A robust design of an innovative shaped rebar system using a novel uncertainty model. Structural and Multidisciplinary Optimization, 58(4), 1351-1365.
https://doi.org/10.1007/s00158-018-2050-z, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa40978
Molteni, A., Masri, Z., Low, K., Yousef, H., Sienz, J., & Fraser, K. (2018). Experimental measurement and numerical modelling of dye washout for investigation of blood residence time in ventricular assist devices. The International Journal of Artificial Organs, 41(4), 201-212.
https://doi.org/10.1177/0391398817752877, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa39471
Sillars, S., Sutcliffe, C., Philo, A., Brown, S., Sienz, J., & Lavery, N. (2018). The three-prong method: a novel assessment of residual stress in laser powder bed fusion. Virtual and Physical Prototyping, 13(1), 20-25.
https://doi.org/10.1080/17452759.2017.1392682, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa36037
Khodaparast, H., Govers, Y., Dayyani, I., Adhikari, S., Link, M., Friswell, M., Mottershead, J., Sienz, J., Sienz, J., Friswell, M., Adhikari, S., & Haddad Khodaparast, H. (2017). Fuzzy finite element model updating of the DLR AIRMOD test structure. Applied Mathematical Modelling, 52, 512-526.
https://doi.org/10.1016/j.apm.2017.08.001, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa34866
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
Thompson, J., Walton, S., Hassan, O., Rolland, S., & Sienz, J. (2017). The use of CFD and multi-objective optimisation techniques to customise an industrial pre-mixer. Structural and Multidisciplinary Optimization
https://doi.org/10.1007/s00158-016-1643-7, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa31622
Zhang, L., Deng, A., Cameron, I., Wang, E., & Sienz, J. (2017). Parametric investigation on an industrial electromagnetic continuous casting mould performance. Journal of Computational Design and Engineering, 4(4), 256-262.
https://doi.org/10.1016/j.jcde.2017.01.001, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa31862
Ollar, J., Mortished, C., Jones, R., Sienz, J., & Toropov, V. (2017). Gradient based hyper-parameter optimisation for well conditioned kriging metamodels. Structural and Multidisciplinary Optimization, 55(6), 2029-2044.
https://doi.org/10.1007/s00158-016-1626-8, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa31213
Lavery, N., Cherry, J., Mehmood, S., Davies, H., Girling, B., Sackett, E., Brown, S., & Sienz, J. (2017). Effects of hot isostatic pressing on the elastic modulus and tensile properties of 316L parts made by powder bed laser fusion. Materials Science and Engineering: A, 693, 186-213.
https://doi.org/10.1016/j.msea.2017.03.100, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa30238
Low, K., van Loon, R., & Sienz, J. (2017). Formulation of Generalized Mass Transfer Correlations for Blood Oxygenator Design. Journal of Biomechanical Engineering, 139(3), 031007
https://doi.org/10.1115/1.4035535, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa31508
James, D., Belblidia, F., Eckermann, J., & Sienz, J. (2017). An innovative photogrammetry color segmentation based technique as an alternative approach to 3D scanning for reverse engineering design. Computer-Aided Design and Applications, 14(1), 1-16.
https://doi.org/10.1080/16864360.2016.1199751, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa30877
Sienz, J. & van Loon, R. (2016). Pore-Scale Modeling of Non-Newtonian Shear-Thinning Fluids in Blood Oxygenator Design. Journal of Biomechanical Engineering, 138(5), 051001
https://doi.org/10.1115/1.4032801, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa26486
Morgan, H., Cherry, J., Jonnalagadda, S., Ewing, D., Sienz, J., & Sienz, J. (2016). Part orientation optimisation for the additive layer manufacture of metal components. The International Journal of Advanced Manufacturing Technology
https://doi.org/10.1007/s00170-015-8151-6, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa27138
Aldoumani, N., Haddad Khodaparast, H., Cameron, I., Friswell, M., Jones, D., Chandrashaker, A., Sienz, J., & Meng, W. (2016). The robustness of carbon fibre members bonded to aluminium connectors in aerial delivery systems. Cogent Engineering, 3(1)
https://doi.org/10.1080/23311916.2016.1225879, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa30476
Huszar, M., Belblidia, F., Alston, S., Wlodarski, P., Arnold, C., Bould, D., & Sienz, J. (2016). The influence of flow and thermal properties on injection pressure and cooling time prediction. Applied Mathematical Modelling
https://doi.org/10.1016/j.apm.2016.03.002, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa27002
Matallah, H., Newton, W., James, D., Cameron, I., Sienz, J., Romocki, S., & Lavery, N. (2016). The development of a sub-atmospheric two-phase thermosyphon natural gas preheater using a lumped capacitance model and comparison with experimental results. Applied Thermal Engineering, 104, 767-778.
https://doi.org/10.1016/j.applthermaleng.2016.05.078, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa28303
Zhang, L., Deng, A., Wang, E., & Sienz, J. (2016). An Experimental Investigation to Facilitate an Improvement in the Design of an Electromagnetic Continuous Casting Mould. Processes, 4(2), 14
https://doi.org/10.3390/pr4020014, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa27107
Thompson, J., Hassan, O., Rolland, S., & Sienz, J. (2016). The identification of an accurate simulation approach to predict the effect of operational parameters on the particle size distribution (PSD) of powders produced by an industrial close-coupled gas atomiser. Powder Technology, 291, 75-85.
https://doi.org/10.1016/j.powtec.2015.12.001, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa26429
Innocente, M., Afonso, S., Sienz, J., & Davies, H. (2015). Particle swarm algorithm with adaptive constraint handling and integrated surrogate model for the management of petroleum fields. Applied Soft Computing, 34, 463-484.
https://doi.org/10.1016/j.asoc.2015.05.032, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa22073
Huszar, M., Belblidia, F., Davies, H., Arnold, C., Bould, D., & Sienz, J. (2015). Sustainable injection moulding: The impact of materials selection and gate location on part warpage and injection pressure. Sustainable Materials and Technologies, 5, 1-8.
https://doi.org/10.1016/j.susmat.2015.07.001, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa22736
Zhang, L., Belblidia, F., Cameron, I., Sienz, J., Boat, M., & Pearson, N. (2015). Influence of Specimen Velocity on the Leakage Signal in Magnetic Flux Leakage Type Nondestructive Testing. Journal of Nondestructive Evaluation, 34(2)
https://doi.org/10.1007/s10921-015-0280-1, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa22076
Cherry, J., Davies, H., Mehmood, S., Lavery, N., Brown, S., Sienz, J., Brown, S., Sienz, J., Lavery, N., & Davies, H. (2015). Investigation into the effect of process parameters on microstructural and physical properties of 316L stainless steel parts by selective laser melting. The International Journal of Advanced Manufacturing Technology, 76(5-8), 869-879.
https://doi.org/10.1007/s00170-014-6297-2, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa18363
Newton, W., Lewis, M., Carswell, D., Lavery, N., Evans, B., Bould, D., Sienz, J., & Evans, B. (2014). Investigating the thermal profile of a marine vessel engine room through simulation with field measurements. Applied Thermal Engineering, 73(1), 1360-1370.
https://doi.org/10.1016/j.applthermaleng.2014.09.019, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa18507
Eckermann, J., Mehmood, S., Davies, H., Lavery, N., Brown, S., Sienz, J., Jones, A., Sommerfeld, P., Brown, S., Sienz, J., Lavery, N., & Davies, H. (2014). Computational modeling of creep-based fatigue as a means of selecting lead-free solder alloys. Microelectronics Reliability, 54(6-7), 1235-1242.
https://doi.org/10.1016/j.microrel.2014.02.017, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa22172
Giannetti, C., Ransing, R., Ransing, M., Bould, D., Gethin, D., & Sienz, J. (2014). A novel variable selection approach based on co-linearity index to discover optimal process settings by analysing mixed data. Computers & Industrial Engineering, 72, 217-229.
https://doi.org/10.1016/j.cie.2014.03.017, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa21495
Luege, M., Orlando, A., & Sienz, J. (2013). A finite strain contact model for mixed lubricated surfaces in forming processes. Applied Mathematical Modelling, 37(24), 9985-10006.
https://doi.org/10.1016/j.apm.2013.06.003, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa22079
Chandra, Y., Scarpa, F., Chowdhury, R., Adhikari, S., Sienz, J., Sienz, J., & Adhikari, S. (2013). Multiscale hybrid atomistic-FE approach for the nonlinear tensile behaviour of graphene nanocomposites. Composites Part A: Applied Science and Manufacturing, 46, 147
https://doi.org/10.1016/j.compositesa.2012.11.006, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa13442
Fuerle, F. & Sienz, J. (2013). Decomposed surrogate based optimization of carbon-fiber bicycle frames using Optimum Latin Hypercubes for constrained design spaces. Computers & Structures, 119, 48
https://doi.org/10.1016/j.compstruc.2012.11.014, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa13443
Murmu, T., Sienz, J., Adhikari, S., Arnold, C., Arnold, C., Sienz, J., & Adhikari, S. (2013). Nonlocal buckling of double-nanoplate-systems under biaxial compression. Composites Part B: Engineering, 44(1), 84-94.
https://doi.org/10.1016/j.compositesb.2012.07.053, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa12500
Flores, E., DiazDelaO, F., Friswell, M., Sienz, J., Sienz, J., & Friswell, M. (2012). A computational multi-scale approach for the stochastic mechanical response of foam-filled honeycomb cores. Composite Structures, 94(5), 1861-1870.
https://doi.org/10.1016/j.compstruct.2011.11.001, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa9112
Sienz, J. (2012). Optimization-driven design of dies for profile extrusion: Parameterization, strategy, and performance. Polymer Engineering & Science
https://doi.org/10.1002/pen.23228, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa12372
J.F.T., P., Ettinger, H., Sienz, J., & Sienz, J. (2012). Computerized optimization substantially reduces proﬁle extrusion die design time. Plastics Research Online
https://doi.org/10.1002/spepro.004380, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa12559
Chandra, Y., Chowdhury, R., Scarpa, F., Adhikari, S., Sienz, J., Arnold, C., Murmu, T., Bould, D., Arnold, C., Sienz, J., & Adhikari, S. (2012). Vibration frequency of graphene based composites: A multiscale approach. Materials Science and Engineering: B, 177(3), 303-310.
https://doi.org/10.1016/j.mseb.2011.12.024, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa12499
Sienz, J. (2011). Quantified Surface Improvement Using Temperature Cycle Injection Moulding. International Polymer Processing The Journal of the Polymer Processing Society
https://doi.org/10.3139/217.2454, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa5460
Sienz, J. (2011). Formulation of the Audze–Eglais uniform Latin hypercube design of experiments for constrained design spaces. Advances in Engineering Software
https://doi.org/10.1016/j.advengsoft.2011.05.004, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa5464
Murmu, T., Sienz, J., Adhikari, S., Arnold, C., Arnold, C., Sienz, J., & Adhikari, S. (2011). Nonlocal buckling behavior of bonded double-nanoplate-systems. Journal of Applied Physics, 110(8), 084316
https://doi.org/10.1063/1.3644908, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa12498
Sienz, J., Goublomme, A., Luege, M., & Sienz, J. (2010). Sensitivity analysis for the design of profile extrusion dies. Computers & Structures, 88(9-10), 610-624.
https://doi.org/10.1016/j.compstruc.2010.02.003, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa5461
Sienz, J. (2009). Finite element analysis of the middle ear transfer functions and related pathologies. Medical Engineering & Physics
https://doi.org/10.1016/j.medengphy.2009.06.009, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa5462
Sienz, J. (2009). Converging flow inline rheometry for engineering extensional viscosity of uPVC. Plastics, Rubber and Composites
https://doi.org/10.1179/174328909X387739, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa5463
Sienz, J. (2008). Water assisted injection moulding: development of insights and predictive capabilities through experiments on instrumented process in parallel with computer simulations. Plastics, Rubber and Composites
https://doi.org/10.1179/174328908X283438, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa5459
Polynkin, A., J.F.T., P., Sienz, J., & Sienz, J. (2007). Gas Assisted Injection Molding of an Industrial Part: 3D Simulation Provides Virtual Molding Trials. International Polymer Processing, 2007(02), 173-178.
https://doi.org/10.3139/217.0996, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa1962
Ettinger, H., Sienz, J., Pittman, J., Polynkin, A., & Sienz, J. (2004). Parameterization and optimization strategies for the automated design of uPVC profile extrusion dies. , 180-194.
https://doi.org/10.1007/s00158-004-0440-x, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa1945
Polynkin, A., Pittman, J., Sienz, J., & Sienz, J. (2004). Gas displacing liquids from tubes: high capillary number flow of a power law liquid including inertia effects. , 2969-2982.
https://doi.org/10.1016/j.ces.2004.04.029, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa1961
Bates, S., Sienz, J., Langley, D., & Sienz, J. (2003). Formulation of the Audze-Eglais Uniform Latin Hypercube design of experiments. , 493-506.
https://doi.org/10.1016/S0965-9978(03)00042-5, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa1944

Book Chapters

Thompson, J., Walton, S., Hassan, O., & Sienz, J. (2018). Applying the Modified Cuckoo Search to the Customisation of an Industrial Pre-mixer. EngOpt 2018 Proceedings of the 6th International Conference on Engineering Optimization (pp. 1398-1408). Springer International Publishing
https://doi.org/10.1007/978-3-319-97773-7_120, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50194
http://dx.doi.org/10.1007/978-3-319-97773-7_120

Conference Contributions

Bhuiyan, N., Balasubramanian, L., Fahmy Abdo, A., Belblidia, F., & Sienz, J. (2023). Modelling and Optimization of Interior Permanent Magnet Motor for Electric Vehicle Applications and Effect on Sustainable Transportation. In Sustainable Design and Manufacturing (pp. 301-311). Springer Nature Singapore.
https://doi.org/10.1007/978-981-19-9205-6_29, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62229
Zhu, S., Stuttaford-Fowler, A., Fahmy Abdo, A., Li, C., & Sienz, J. (2021). Development of a Low-cost Data Glove using Flex Sensors for the Robot Hand Teleoperation. In 2021 3rd International Symposium on Robotics & Intelligent Manufacturing Technology (ISRIMT)IEEE.
https://doi.org/10.1109/isrimt53730.2021.9596972, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62572
Philo, A., Sutcliffe, C., Group, S., Sienz, J., Brown, S., & Lavery, N. (2020). A study into the effects of gas flow inlet design of the Renishaw AM250 laser powder bed fusion machine using computational modelling. In 2017 International Solid Freeform Fabrication Symposium
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa66162
https://repositories.lib.utexas.edu/items/55a127a4-d934-43a5-8af1-cb9b90668a87
Lavery, N. & Sienz, J. (2017). The influence of powder ageing characteristics on 316l stainless steel processed by laser based powder bed fusion. In Proceedings Euro PM 2017: International Powder Metallurgy Congress and ExhibitionInternational Powder Metallurgy Congress and Exhibition, Euro PM 2017.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa46107
https://www.epma.com/publications/euro-pm-proceedings/product/ep17-3686473

Supervision

Robots for Environmental Monitoring and Visualisation (current)

PhD

Other supervisor: Dr Christian Griffiths
Methods for the efficient utilization of dynamic CAE solvers to derive appropriate optimization loadings for complex problems. (current)

PhD

Other supervisor: Dr Will Harrison
'Investigation into the mechanical properties and microstructure of stainless steel 316L additively manufactured parts' (current)

PhD
Towards Cost Effective and sustainable Renewable Energy Storage Batteries (awarded 2023)

EngD

Other supervisor: Dr Nick Croft

Professor Johann Sienz

Telephone number

Email address

Research Links

About

Publications

Research Highlights

All Research

Journal Articles

Book Chapters

Conference Contributions

Supervision

Robots for Environmental Monitoring and Visualisation (current)

Methods for the efficient utilization of dynamic CAE solvers to derive appropriate optimization loadings for complex problems. (current)

'Investigation into the mechanical properties and microstructure of stainless steel 316L additively manufactured parts' (current)

Towards Cost Effective and sustainable Renewable Energy Storage Batteries (awarded 2023)