Development and implementation of an analytical noise model for axial swept fans

Fan noise is a major environmental issue as it is found in daily appliances such as kitchen fans, hair dryers or computers, in cars such as engine cooling fan systems and Heat and Ventilation Air Conditioning (HVAC) blowers (creating a nuisance not only for passengers but also for pedestrians in city traffic jams), and in all ventilation systems for buildings or tunnels. It possibly causes significant hearing losses and health issues (increased heart diseases), and as such must be mitigated. Blade sweep is one way of reducing noise and thus must be considered in a design cycle. The present project is the development and implementation of a fast analytical model for blade sweep in the commercial noise prediction software dedicated to axial rotating machines, Optisound.

Faculty Supervisor:

Stéphane Moreau

Student:

Partner:

Optis Consultants Inc

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Université de Sherbrooke

Program: