3D printing smart language to create seamless production cycle
27 July 2018
Introducing the smart language that enables designers, additive manufacturing engineers and inspectors to truly communicate.
Additive manufacturing – widely known as 3D printing – is set to transform the industry; but for its full potential to be unlocked, there will have to be a smart language that enables proper communication between designers and engineers. Enter researchers at the University of Huddersfield.
Global experts in production engineering heard about the project when the University’s Dr Qunfen Qi presented a paper at the 15th CIRP Conference of Computer Aided Tolerancing, held in Milan.
She told delegates how additive manufacturing (AM) was changing the way that products are designed, manufactured and measured and that it enabled the fabrication of highly complex components. However, traditional design rules no longer applied.
Dr Qi – who is a research fellow at the University of Huddersfield’s EPSRC Future Metrology Hub – has been using category theory to develop computer-readable guidelines and rules for AM.
“The research can provide a smart language that enables designers, AM engineers and inspectors to truly communicate with each other in an intelligent, robust and productive way,” states Dr Qi.
“This will greatly improve the process repeatability and part-to-part reproducibility, and significantly reduce power usage and failure rate, lower the cost of production and make a more environmentally-friendly manufacturing technology.”
Dr Qi’s research focus is on the application of mathematics theory and information technology to advanced manufacturing. Her University of Huddersfield PhD was co-supervised by the mathematician Professor Paul Scott, a research director at the EPSRC Centre.
Qunfen Qi, Senior Research Fellow, Department of Engineering and Technology at The University of Huddersfield
Qi has been investigating the use of category theory as a way of forming smart databases for over 15 years. One of the outputs has been a bespoke package created by Dr Qi that enabled Rolls Royce to design and measure surface texture.
Now, the goal is to create a smart language that can be widely used throughout the industry – and with no requirement for an in-depth knowledge of category theory.
“It will have an enormous range of applications, not just limited to advanced manufacturing, but in the future – to be applied in smart cities, healthcare, social science and more,” said Professor Scott.
Scott was also a key contributor to the CIRP Conference, convened by the world’s leading organisation in the field of production engineering research. He chaired a session on Tolerance Verification and was co-author of a paper that dealt with partitioning operations for standardisation of geometrical product specifications and verification.
The project was an output from Professor Scott’s work with a group that is developing international standards for geometrical product specification.
There was a CIRP paper from Dr Luca Pagani, also a research fellow at Huddersfield’s EPSRC Hub. It was titled 'An adaptive tolerancing algorithm for freeform profiles': it described research that will lead to the more efficient production of parts – such as turbine blades – that have complex surfaces.
The resultant reduction in the number of rejected parts will lead to less waste and greater economies.
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