An Automated Design Framework for Assembly Task Simulation


Autoria(s): McConnell, Roisin; Butterfield, Joseph; Rafferty, Karen; Price, Mark; Murphy, Adrian; Burke, Robert; Legg, Adrian; Lemon, Richard
Data(s)

30/03/2016

Resumo

This paper presents an automated design framework for the development of individual part forming tools for a composite stiffener. The framework uses parametrically developed design geometries for both the part and its layup tool. The framework has been developed with a functioning user interface where part / tool combinations are passed to a virtual environment for utility based assessment of their features and assemblability characteristics. The work demonstrates clear benefits in process design methods with conventional design timelines reduced from hours and days to minutes and seconds. The methods developed here were able to produce a digital mock up of a component with its associated layup tool in less than 3 minutes. The virtual environment presenting the design to the designer for interactive assembly planning was generated in 20 seconds. Challenges still exist in determining the level of reality required to provide an effective learning environment in the virtual world. Full representation of physical phenomena such as gravity, part clashes and the representation of standard build functions require further work to represent real physical phenomena more accurately.

Identificador

http://pure.qub.ac.uk/portal/en/publications/an-automated-design-framework-for-assembly-task-simulation(9d562686-e8f8-4135-a265-e9e5f9606075).html

Idioma(s)

eng

Direitos

info:eu-repo/semantics/restrictedAccess

Fonte

McConnell , R , Butterfield , J , Rafferty , K , Price , M , Murphy , A , Burke , R , Legg , A & Lemon , R 2016 , ' An Automated Design Framework for Assembly Task Simulation ' Paper presented at 9th International Conference on Digital Enterprise Technology - DET 2016 – “Intelligent Manufacturing in the Knowledge Economy Era , Nanjing , China , 29/03/2016 - 31/03/2016 , .

Palavras-Chave #Virtual reality; assembly optimisation; learning; assembly optimisation
Tipo

conferenceObject