Tuesday, 22 October 2024 at Noon | 490 Cory Hall
Watch the seminar recording here.
Professor Hayden Taylor
Mechanical Engineering |University of California, Berkeley
Host: Jon Candelaria
ABSTRACT
Computed Axial Lithography (CAL) is a radically different approach to additive manufacturing. Unlike traditional AM technologies that form parts layer by layer, CAL creates parts all at once. As a result, CAL can print at speeds up to 100 times faster than conventional printers. This speed is particularly valuable for high-risk operations requiring quick response times, such as space exploration. During long-duration missions to Mars, it is challenging to predict which parts will fail and when. Traditionally, large quantities of spare parts are brought along to mitigate risks and ensure system maintainability; however, this approach is costly in terms of weight and storage. The ability to manufacture parts on demand significantly reduces both weight and mission risk. CAL is well-suited as a manufacturing tool for astronauts, enabling them to repair the cabin and even the crew during extended space missions. Recently, CAL was tested on a suborbital flight with Virgin Galactic, successfully printing and post-processing four parts in space.
BIO
Hayden Taylor is an Associate Professor in the Department of Mechanical Engineering at the University of California, Berkeley. He was previously an Assistant Professor at Nanyang Technological University in Singapore, a Postdoctoral Research Fellow in the Biosystems and Micromechanics group at the Singapore-MIT Alliance for Research and Technology, and a Research Associate in the Microsystems Technology Laboratories at MIT.
Hayden was born in Bristol, United Kingdom, in 1981. He attended Bristol Grammar School and Trinity College, Cambridge, receiving the B.A. and M.Eng. degrees in Electrical and Electronic Engineering in 2004. He was sponsored as an undergraduate by ST Microelectronics. He is a Senior Scholar of Trinity College, Cambridge, and received the Cambridge University Engineering Department’s Baker Prize in 2004. Hayden received the Ph.D. in Electrical Engineering and Computer Science from MIT in 2009, working with Professor Duane Boning.
Hayden is a member of the IEEE, the Institution of Engineering and Technology, and the Institute of Physics. He was an Institution of Electrical Engineers Jubilee Scholar 2000-4, and was a Kennedy Scholar for the academic year 2004-5.
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