Our Team > Our Researchers > Dr Imelda Friel

Dr Imelda Friel

Our Researchers

Research Fellow

Queen’s University Belfast

Imelda graduated with a PhD from the School of Mechanical and Aerospace Engineering in 2018. She previously completed a Master’s degree in Aerospace Engineering in 2014, with an industrial placement as a Manufacturing Engineer at B/E Aerospace (now Collins Aerospace).

Imelda’s PhD research focused on improving computer-aided design (CAD) practice from a manufacturing perspective, creating a novel CAD-neutral methodology which allowed the creation of variational geometry alongside nominal models within a CAD assembly environment. Having returned to the School as a Research Fellow in July 2019, Imelda has worked on developing the Biohaviour system in the Blind Watchmaker project and now works within Thread 2 – The Cyber World focusing on the preparation and creation of models and simulations within the RIED system.

RIED Specific Links & Papers

  • A Novel Design System for Exploiting Additive Manufacturing (September 2021)

    This paper describes the aspects of the system analogous to nature alongside the data structures used to represent the developing organism and its ability to interact and respond to the environment. It demonstrates how manufacturing specific information can be coded in the system and in the genome of the cells and expressed in the organism through the development process in this new design system.

    This paper was included in the proceedings from the on-line 37th International Manufacturing Conference, co-hosted by the Athlone Institute of Technology and CONFIRM, held in September 2021

    IMC Conference Archive (manufacturingcouncil.ie)

  • Framework Training Interview (November 2022)

    Queen’s University Belfast & University of York – RIED: ReImagining Engineering Design

    Framework Training supported Queen’s University Belfast & University of York with specialist training on best practices for software development to support a new interdisciplinary project called RIED: ReImagining Engineering Design – to drive the generation of new methods for design engineering.

  • Evolving Design Modifiers (December 2022)

    Evolutionary Developmental biology (EvoDevo) is a process of directed growth whose mechanisms could be used in an evolutionary algorithm for engineering applications. Engineering design can be thought of as a search through a high-dimensional design space for a small number of solutions that are optimal by various metrics. Configuring this search within an EvoDevo algorithm may allow developmental processes to provide a facility to give more immediate, localised feedback to the system as it grows into its final optimal configuration (form). This approach would augment current design practices. The main components needed to run EvoDevo for engineering design are set out in this paper, and these are developed into an algorithm for initial investigations, resulting in evolved neural network-based structural design modifying operators that optimise the structure of a planar truss in an iterative, decentralized manner against multiple objectives. Preliminary results are presented which show that the two levels feedback at the Evo and Devo stages drive the system to ultimately produce feasible solutions.