Tailorable & Adaptive Connected Digital Additive Manufacturing (TACDAM)

TACDAM is a 2 year EPSRC and Innovate UK co-funded project that will remove the final hurdles for the adoption of additive manufacturing in automotive applications in a staged low-mid-high volume approach.

Annular Recuperator ImageThe project will be led by Dr George Panoutsos and Professor Visakan Kadirkamanathan from the Department of Automatic Control and Systems Engineering (ACSE) at The University of Sheffield (TUoS). There will be cross-faculty support from Professor Todd, Materials and Science Engineering and cross-university support from Dr Katzman Mathematics and Statistics. External partners include HiETA, McLaren Automotive, InnovateUK and EPSRC.

The TACDAM project will perform targeted Additive Manufacturing pre and post-process value chain technology developments, develop an adaptive quality assurance model, introduce parametric design as a key process variable and demonstrate the capability to deliver cost and quality outcomes to the automotive industry.

Key enabling technologies, that will be developed by ACSE, include the creation of model-based approaches, that are used to optimise the part life-cycle in the manufacturing environment. This includes the identification of key factors in the value-chain, and data-driven methodologies that will 'learn' from data towards the better fundamental understanding of the process.

Dr Panoutsos comments:

"It's good to work with high profile partners in the additive manufacturing sector (HiETA, Renishaw) on a very exciting case study offered by McLaren Automotive for the design and optimisation of 3D printed automotive parts. This is a project that needs a truly multidisciplinary approach from The University of Sheffield, from maths for algebraic geometry to build voxel-based printability maps, to materials science and model-based process-part optimisation."

The essential requisite for this, besides having the right portfolio of products, is meeting low cost and high quality automotive expectations, the delivery of which is the primary objective of the project.