EPSRC Reference: |
EP/P030262/1 |
Title: |
Tailorable & Adaptive Connected Digital Additive Manufacturing (TACDAM) |
Principal Investigator: |
Panoutsos, Professor G |
Other Investigators: |
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Researcher Co-Investigators: |
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Project Partners: |
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Department: |
Automatic Control and Systems Eng |
Organisation: |
University of Sheffield |
Scheme: |
Technology Programme |
Starts: |
01 January 2017 |
Ends: |
31 December 2018 |
Value (£): |
221,611
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EPSRC Research Topic Classifications: |
Design & Testing Technology |
Manufact. Enterprise Ops& Mgmt |
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EPSRC Industrial Sector Classifications: |
Transport Systems and Vehicles |
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Related Grants: |
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Panel History: |
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Summary on Grant Application Form |
The TACDAM project will remove the the final hurdles for the adoption of additive manufacturing in automotive applications in a staged low-mid-high volume approach. The essential requisite for this, besides having the right portfolio of products, is meeting automotive expectation of low cost and high quality, the delivery of which is the primary objective of the project. Although the biggest single contributor to product cost across the value chain has been Additive Manufacturing (AM) build time it is expected that by the end of 2017 substantial further increases will have been made. A result of this is that costs associated to pre- and post-processing are becoming relatively much more significant. Key enabling technologies, that will be developed by The University of Sheffield, 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.
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Key Findings |
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Potential use in non-academic contexts |
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Impacts |
Description |
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Summary |
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Date Materialised |
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Sectors submitted by the Researcher |
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Project URL: |
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Further Information: |
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Organisation Website: |
http://www.shef.ac.uk |