3D printing smart language will enable seamless production cycle
The gap between the two disciplines needs to be bridged to allow industry to take full advantage of the technology by improving the process repeatability and part-to-part reproducibility, reducing power usage and failure rate, and lowering production costs.
The research was presented in a paper at the 15th CIRP Conference of Computer Aided Tolerancing, by Dr Qunfen Qi. Qi, 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 additive manufacturing (AM).
“The research can provide a smart language that enables designers, AM engineers and inspectors to communicate with each other in an intelligent, robust and productive way,” states Dr Qi. She continued, “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 current goal is to create a smart language that can be widely used throughout industry and with no requirement for an in-depth knowledge of category theory.
More information
https://research.hud.ac.uk/institutes-centres/cimam/keypeople/drqunfenqi.php
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