COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring. |
University of Cambridge > Talks.cam > Your personal list > Is the Future of Electronics Packaging in 3D Printing
Is the Future of Electronics Packaging in 3D PrintingAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact Steve Riches. The revolution in additive manufacturing brought about by 3D printing is creating new opportunities for the manufacture of electronics products instead of standard surface mount assembly on printed circuit boards. The potential benefits include miniaturisation and improved performance through integration of the electronics within the structure of the component and truly flexible manufacturing for customisable products. IMAPS UK (International Microelectronics Assembly and Packaging Society) and Barclays Eagle Labs – Cambridge would like to invite you to an interactive workshop to hear about the advances in 3D printing for electronics and participate in defining the future challenges and opportunities for electronics design and manufacturing. Take this opportunity to discuss the future of electronics packaging, network amongst fellow practitioners and tour the recently established Eagle Labs Facility at Barclays Bank, Cherry Hinton Road, Cambridge. This event is free, please register at http://www.imaps-uk3d.eventbrite.co.uk This talk is part of the Your personal list series. This talk is included in these lists:Note that ex-directory lists are not shown. |
Other listsEarly Modern Economic and Social History Seminars Art Cell Gallery Cambridge AWiSE Type the title of a new list here Centre of South Asian Studies Seminars External seminar at CSCROther talksCANCELLED: Beverly Gage: G-Man: J. Edgar Hoover and the American Century Machine learning, social learning and self-driving cars Childhood adversity and chronic disease: risks, mechanisms and resilience. PROFESSIONAL REGISTRATION WORKSHOP Prices of peers: identifying endogenous price effects between real assets Bayesian deep learning |