Intelligent materials processing by hyperspace data mining |
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| Affiliation: | 1. Zaptron Systems, Inc., Santa Clara, CA, USA;1. Salomon Smith Barney, 250 West Street 8th Floor, New York, NY 10013, USA;1. School of Materials Science and Engineering, Key Lab of advanced Ceramics and Marching Technology of Ministry of Education, Tianjin University, China;2. Marine Lab of Buoyancy materials, Qingdao Institute for Ocean Engineering of Tianjin University, China;1. Key Laboratory of Advanced Ceramics and Mechanical Technology of Ministry of Education, School of Materials Science and Engineering, Tianjin University, Tianjin 300072, China;2. Institute of Chemical Materials, China Academy of Engineering Physics, Mianyang 621900, China;1. Key Laboratory of Advanced Ceramics and Mechanical Technology of Ministry of Education, School of Materials Science and Engineering, Tianjin University, Tianjin 300072, PR China;2. China Aerospace Science and Technology Corporation, Beijing 100048, PR China;3. Research & Development Center of China Academy of Launch Vehicle Technology, Beijing 100076, PR China |
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| Abstract: | This paper discusses application of hyperspace data mining to materials manufacturing. We introduce an innovative hyperspace method whereby data are separated into subspaces, features selected according to data patterns, and control rendered in the original feature space. This technique has three major advantages: no equipment is added, no experiment is needed, and no interruption occurs to production. A number of proprietary algorithms have been built into a software product, MasterMinerTM, for use in materials design and manufacturing. Examples are given to show the efficacy of the proposed method and MasterMiner tool. |
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