Masters Theses

Abstract

"The United States, as the world's largest producer and consumer of scrap and flake mica, has an obvious economic interest in applications of artificial intelligence technology that would expedite beneficiation of mica. In the fall of 1985, personnel of the Tuscaloosa and Rolla research centers of the Bureau of Mines and of the University of Missouri--Rolla, Institute for Artificial Intelligence started the following long term research project: Develop an Expert System Consultant for the three basic stages of mica beneficiation: Stage 1: characterization of the material; Stage 2: treatment to obtain a concentrate; and Stage 3: evaluation of the resulting concentrate. Completion of the long term project will result in an Expert System Consultant (MICA) that will assist in providing the following advice for an ore body being considered for development: (1) usability of the non-mica present; (2) feasible end uses for the mica present; (3) concentration treatments for mica; (4) equipment configurations for the concentration treatments; (5) setting the parameters of the treatment circuits; and (6) fine tuning of the circuits. The consultant will identify the laboratory treatments to be investigated to determine best plant scale flowsheets that will result in commercial operations. To date, a prototype of Stage 1 and a detailed introduction to the consultant have been developed. Stage I provides the basis for recommendations concerning the usability of non-mica, the feasible end uses for mica, and the concentration treatments for mica. This paper describes and discusses the development of the project and the results achieved"--Abstract, page iii.

Advisor(s)

Dekock, Arlan R.

Committee Member(s)

Wilkerson, Ralph W.
Barr, David J.

Department(s)

Computer Science

Degree Name

M.S. in Computer Science

Publisher

University of Missouri--Rolla

Publication Date

Summer 1986

Pagination

v, 31 pages

Note about bibliography

Includes bibliographical references (page 30).

Rights

© 1986 Joseph Howard Marchal, All rights reserved.

Document Type

Thesis - Open Access

File Type

text

Language

English

Thesis Number

T 5392

Print OCLC #

14698143

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