Masters Theses

Abstract

"Delamination is a well-recognized problem associated with drilling in fiber-reinforced composite materials (FRCM). The most noted problems occur as the drill enters and exits the FRCM. Since drilling is often a final operation during assembly, any defects introduced in parts by drilling represent an expensive loss. Studies based on linear elastic fracture mechanics theory have proposed critical thrust forces in the various drilling regions that will prevent crack growth or delamination. Using these critical thrust force curves as a guide, a thrust force controller was developed to minimize the delamination while drilling in graphite epoxy laminates. A neural network control scheme is implemented which requires a neural network identifier to model the drilling dynamics and a neural network controller to learn the relationship between feed rate and the desired thrust force. Experimental results verify the validity of this control approach as well as the robustness of the design. Visual measurements of the delamination zones are used to quantify the benefits of the controlled process versus the "uncontrolled" conventional drilling process in the graphite epoxy laminate"-Abstract p.iii

Advisor(s)

K. Krishnamurthy

Committee Member(s)

Lokeswarappa R. Dharani
Roger H. Hering

Department(s)

Mechanical and Aerospace Engineering

Degree Name

M.S. in Mechanical Engineering

Publisher

University of Missouri--Rolla

Publication Date

Summer 1995

Pagination

viii, 51 pages

Note about bibliography

Includes bibliographical references (pages 49-50)

Rights

© 1995 Robert Boyce Stone, All rights reserved.

Document Type

Thesis - Open Access

File Type

text

Language

English

Thesis Number

T 7026

Print OCLC #

33115887

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