Biohavior

Website Queen's University Belfast

This PhD will develop constructs and algorithms to link design models in a CAD system with a suite of manufacturing facilities (3D printer, CNC etc.) and to explore how both design model and process are mutually affected by changes.

Dr Peter Kilpatrick, EEECS Prof Mark Price, MAE The UK is aiming for net zero emissions by 2050 challenging all sectors of our society and economy to adopt new ways of doing things. Manufacturing as a Service is an emerging business model which has potential to make manufacturing more accessible and reduce its environmental impact. In this model customers submit their product designs online and obtain products on-demand. A cloud-based Smart Manufacturing as a Service (SmartMaaS) framework is under development to allow concurrent evolution of design and product via a feedback loop. This project will evolve the existing SmartMaaS prototype by addressing in greater depth the challenges arising and building capability to use these services on distributed cloud-based systems. Academic Requirements:Solid background in engineering, with understanding of manufacturing systems, basics of computer systems and a good foundation in computer programming. Should be highly competent in the use of CAD systems.

The manufacturing industry has already started adopting the Manufacturing as a Service business model. For example, 3D hubs, Shapeways, Materialise and Sculpteo offer 3D printing services on an on-demand basis. Using these services customers can obtain customised 3D printed products at low cost. However, customers continue to become more demanding, they anticipate reduced turnaround time, increased quality innovative design etc. To satisfy such customers a Smart Manufacturing as a Service (SmartMaaS) framework is being explored in an exciting Engineering and Physical Sciences Research Council (EPSRC) funded project called Re-Imagining Engineering Design where advanced computational technology is being combined with design and manufacturing systems to create new Cyber-Physical representations of products. This project adopts a Cloud-based design and manufacturing approach, where customers can submit their product request in the form of design specifications and receive the manufactured product after going through a process of design review and feedback. The challenge is to create an effective infrastructure where the manufacturing centre (e.g. the 3D printer, or router) communicates with the design system effectively to influence design decisions as they happen.

Aims and Objectives:

The goal is to develop constructs and algorithms to link design models in a CAD system with a suite of manufacturing facilities (3D printer, CNC etc.) and to explore how both design model and process are mutually affected by changes.

The Objectives are:

1.Develop a suite of interfaces to enable interoperability between CAD system and manufacturing suite.
2.Carry out a range of experiments to explore and understand the propagation of variations throughout the system, and how feedback to engender design modifications may be effected and controlled.
3.Build a cloud based system to link the services together.
4.Create an intelligent interface to explore and compare human decision making versus AI decision making in such a system.

To apply for this job please visit dap.qub.ac.uk.