Progress toward autonomous experimental systems for alloy development. (9th April 2019)

• Record Type: Journal Article
• Authors: Boyce, Brad L.; Uchic, Michael D.
• Editors: Pollock, Tresa M.; Van der Ven, Anton
• Is Part Of: MRS bulletin. Volume 44:Number 4(2019:Apr.)
• Page Start: 273
• Page End: 280
• Publication Date: 2019-04-09
• Subjects: alloy, -- microstructure; Materials -- Periodicals; 620.11
• DOI: 10.1557/mrs.2019.75
• Languages: English
• ISSNs: 0883-7694

Abstract

Abstract: Abstract : Historically, the advent of robotics has important roots in metallurgy. The first industrial robot, Unimate, was used by General Motors to handle hot metal—transporting die castings and welding them to an automotive body. Now, nearly 60 years later, metallurgical use of robotics is still largely confined to automation of dangerous, complex, and repetitive tasks. Beyond metallurgy, the field of autonomy is undergoing a renaissance, impacting applications from pharmaceuticals to transportation. In this article, we review the emerging elements of high-throughput experimental automation, which, when combined with artificial intelligence or machine-learning systems, will enable autonomous discovery of novel alloys and process routes.