Projects per year
Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Dive into the research topics where Don McGlinchey is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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KTP with Mitsubishi Electric Air conditioning Systems Europe Ltd - Utilising Industry 4.0 techniquesfor Smart factories
Morison, G. (CoI), Alkali, B. (PI) & McGlinchey, D. (CoI)
Innovate UK, Mitsubishi Estate Co., Ltd.
11/11/19 → 31/05/25
Project: Knowledge Exchange
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PTSC Heat Transfer Study - Part 2
McGlinchey, D. (PI)
Process Technology Strategic Consultancy Ltd
14/03/19 → …
Project: Contract Research
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AFS: Engineering Feasibility of the Albarrier Product
McGlinchey, D. (PI)
Project: Knowledge Exchange
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Squadron Analytics Sensor Feasibility Study
McGlinchey, D. (PI)
23/08/21 → 24/09/21
Project: Knowledge Exchange
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Feasibility and Technical Evaluation of Road Vehicle Outboard Energy Harvesting
McGlinchey, D. (PI)
Scottish Government, Electricity From Cars Limited
2/09/19 → 29/11/19
Project: Knowledge Exchange
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Multiphase flow measurement of wet gas flow using machine learning modelling algorithms
Hosseini, S., Chinello, G., Lindsay, G., Smith, S. & McGlinchey, D., 7 Jan 2025, (E-pub ahead of print) In: Measurement: Sensors. 101556.Research output: Contribution to journal › Article › peer-review
Open Access -
Optimizing energy and air consumption in smart manufacturing: an industrial internet of things-based monitoring and efficiency enhancement solution
Hanifi, S., Alkali, B., Lindsay, G. & McGlinchey, D., Mar 2025, In: Applied Sciences (Switzerland). 15, 6, 19 p., 3222.Research output: Contribution to journal › Article › peer-review
Open AccessFile11 Downloads (Pure) -
Scalable data transformation models for physics-informed neural networks (PINNs) in digital twin-enabled prognostics and health management (PHM) applications
Barimah, A. K., Onu, O. P., Niculita, O., Cowell, A. & McGlinchey, D., Apr 2025, In: Computers. 14, 4, 25 p., 121.Research output: Contribution to journal › Article › peer-review
Open AccessFile23 Downloads (Pure) -
Advancements in predictive maintenance modelling for industrial electrical motors: integrating machine learning and sensor technologies
Hanifi, S., Alkali, B., Lindsay, G., Waters, M. & McGlinchey, D., 21 Dec 2024, (E-pub ahead of print) In: Measurement: Sensors. 101473.Research output: Contribution to journal › Article › peer-review
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A robust indicator for the dense to dilute phase transition under horizontal moving bed flow during Fluidized Dense phase Conveying of Geldart A powders by Eulerian modelling
Balasubramanian, P., Cowell, A. & McGlinchey, D., 4 Nov 2024, Proceedings of the 11th International Conference on Conveying and Handling of Particulate Solids. Ooi, J., Morrissey, J. P., Hanley, K. & Papanicolopulos, S.-A. (eds.). Edinburgh: Zenodo, p. 57-58 2 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile7 Downloads (Pure)