Paper
22 December 1993 Fuzzy logic and the spray forming process
Timothy J. Zappia, Dennis N. Harvey, Craig Madden, M. Allen Matteson
Author Affiliations +
Proceedings Volume 2061, Applications of Fuzzy Logic Technology; (1993) https://doi.org/10.1117/12.165051
Event: Optical Tools for Manufacturing and Advanced Automation, 1993, Boston, MA, United States
Abstract
Liquid metal spray forming is a relatively new process for near-net-shape manufacturing. This process involves melting of the metal, ejection of the molten metal from the crucible in which it was melted, and atomization of the molten metal in a high-pressure gas atomizer. The resulting droplets are collected on a moving substrate where consolidation and solidification occur. This paper will discuss the methods used to combine sensor feedback and process knowledge into a fuzzy logic inference engine which can augment, if not replace, the manual functions currently performed by the operator. The paper will also describe the development of a custom optical sensor which simulates the operator's visual feedback. It monitors the part while it is being formed, and simultaneously determines the part shape, the rate of growth of the part, and the surface roughness of the part.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Timothy J. Zappia, Dennis N. Harvey, Craig Madden, and M. Allen Matteson "Fuzzy logic and the spray forming process", Proc. SPIE 2061, Applications of Fuzzy Logic Technology, (22 December 1993); https://doi.org/10.1117/12.165051
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Metals

Fuzzy logic

Sensors

Surface roughness

Control systems

Cameras

Neural networks

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