Speaker: Nick Zang, Queen Mary University of London Wed 13th May 12:00 – 13:00 UK time. This seminar will be held online via Microsoft Teams. Abstract Hybrid and fully-electric propulsion system driven by propellers is a promising candidate for powering the next-generation passengers aircrafts, advanced air mobility vehicles as well as service drones. Unlike their […]
Speaker: Ryan Woods, NOVARS Research Centre at the University of Manchester Wed 25th March 12:00 – 13:00 UK time. This seminar will be held in person in Newton 241 and online via Microsoft Teams. Abstract This presentation will summarise the philosophy, process and outcomes of my recent practice based PhD in Electroacoustic Composition entitled ‘Collaborative […]
Speaker: Robin Woodward, principal consultant with Hayes McKenzie Partnership Ltd. Wed 11th March 12:00 – 13:00 UK time. This seminar will be held in person in Newton 241 and online via Microsoft Teams. Abstract Wind turbine noise has been assessed for many years concentrating on two components contributing to annoyance, the broadband sound pressure level […]
Speaker: Marco Picillo, Politecnico di Torino Wed 25th February 12:00 – 13:00 UK time. This seminar will be held in person in Newton 241 and online via Microsoft Teams. Abstract Noise characteristics from propellers in axial inflow conditions and steady blade loading have been largely studied in the past, with numerical and analytical methods spanning […]
Speaker: Dr Josef Schlittenlacher, University College London Wed 11th February 12:00 – 13:00 UK time. This seminar will be held in person in Newton 241 and online via Microsoft Teams. Abstract This talk provides an overview of loudness models and key experimental findings, from the classic work of Fletcher and Munson to the latest ISO […]
Hybrid: Newton 241 or Microsoft Teams Join the meeting now Meeting ID: 317 714 654 648 2 Passcode: 23iw7yK6 Michael Lotinga will be discussing his recent conference and journal publications Verified implementations of the Sottek psychoacoustic Hearing Model standardised sound quality metrics (ECMA-418-2 loudness, tonality and roughness) Michael J B Lotinga, Matt Torjussen & Gil Felix Greco […]
Hybrid: Newton 241 or Microsoft Teams Join the meeting now Meeting ID: 345 520 840 202 6 Passcode: ih7vF6Ya Machine Learning-Based Prediction of Air Source Heat Pump Noise Annoyance Volkan Acun, Simone Graetzer, and Antonio J. Torija Martinez, University of Salford Air Source Heat Pumps (ASHPs) are pivotal in decarbonising domestic heating and air conditioning, yet noise emissions […]