Conor Gallagher, Charles Stuart and Stephen Spence, Validation and Calibration of Conceptual Design Tool SUAVE, AIAA Aviation Forum 2023, San Diego, USA, 12-16 June 2023, 2023, pphttps://doi.org/10.2514/6.2023 ,
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Conor Gallagher, Charles Stuart and Stephen Spence, Energy Analysis of Fleet Operations Using Green Liquid Hydrogen and Synthetic Kerosene, AIAA Aviation Forum 2023, San Diego, USA, 12-16 June 2023, 2023, pphttps://doi.org/10.2514/6.2023 ,
Conference Paper,
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Peter Martin, Marco Geron, Stephen Spence, Charles Stuart, Andre Starke, Thomas Leonard , INVESTIGATING THE SUITABILITY OF MULTI-SCROLL VOLUTES FOR IMPROVING SPANWISE INCIDENCE OF MIXED FLOW ROTORS WITH VARYING BLADE CONE ANGLES IN AUTOMOTIVE TURBOCHARGING APPLICATIONS, ASME Turbo Expo 2023, Boston, MA, 26th - 30th June, 2023,
Conference Paper,
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Laura McLaughlin, Charles Stuart, Stephen Spence, Erich Kreiselmaier Kwok Kai So Marco Geron, Daniel Rusch, , A NUMERICAL INVESTIGATION OF THE DESIGN POINT PERFORMANCE FOR A CENTRIFUGAL COMPRESSOR WITH A PARAMETERIZED VOLUTE, ASME Turbo Expo 2023, Boston, MA, 26th -30th June 2023, 2023,
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Lee Gibson; Stephen Spence; Charles Stuart; Andre Starke; Sung In Kim, On the Effect of Side Clearance in the Vaned Diffuser of a Centrifugal Compressor, ASME Journal of Turbomachinery, 2023,
Journal Article,
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Morrison, R., Spence, S, Stuart, C., Leonard, T., Starke, A., & Kim, S., INVESTIGATION OF A NOVEL TURBINE HOUSING TO PRODUCE A NON-UNIFORM SPANWISE FLOW FIELD AT THE INLET TO A MIXED FLOW TURBINE AND PROVIDE VARIABLE GEOMETRY CAPABILITIES, ASME Journal of Turbomachinery, 2023,
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Pangbo Ren; Charles Stuart; Stephen Spence; Ryosuke Inomata; Takayuki Kobayashi; Isao Morita, Using Machine Learning for Loss Prediction in a Hybrid Meanline Modeling Method to Deliver Improved Radial Turbine Performance Prediction, ASME Journal of Turbomachinery, 2023,
Journal Article,
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Gibson, L., Spence, S., Stuart, C., Starke, A., & Kim, S., ON THE EFFECT OF SIDE CLEARANCE IN THE VANED DIFFUSER OF A CENTRIFUGAL COMPRESSOR, ASME Turbo Expo 2022, Rotterdam, The Netherlands, June 13-17 2022, GT2022-82423, 2022,
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Ren, P., Stuart, C., Spence, S., Inomata, R., Kobayashi, T., & Morita, I., USING MACHINE LEARNING FOR LOSS PREDICTION IN A HYBRID MEANLINE MODELING METHOD TO DELIVER IMPROVED RADIAL TURBINE PERFORMANCE PREDICTION, ASME Turbo Expo 2022, Rotterdam, The Netherlands, June 13-17 2022, GT2022-80186, 2022,
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McLaughlin, L., Spence, S., Rusch, D., Stuart, C., Geron, M., Kwok, K.S., & Fischer, M., INVESTIGATION OF THE MAP WIDTH IMPROVEMENT IN A RADIALLY REDUCED DIFFUSER DESIGN CONCEPT FOR A CENTRIFUGAL COMPRESSOR, ASME Turbo Expo 2022, Rotterdam, The Netherlands, GT2022-78684, 2022,
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