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TECHNICAL PAPERS

Machining Process Monitoring and Control: The State-of-the-Art

[+] Author and Article Information
Steven Y. Liang

Georgia Institute of Technology, George W. Woodruff School of Mechanical Engineering, Atlanta, GA 30332-0405

Rogelio L. Hecker

Facultad the Ingenieria, Universidad Nacional de La Pampa, General Pico, LP, 6360, Argentinae-mail: hecker@ing.unlpam.edu.ar

Robert G. Landers

Department of Mechanical and Aerospace Engineering, University of Missouri–Rolla, Rolla, MO 65409-0050e-mail: landersr@umr.edu

J. Manuf. Sci. Eng 126(2), 297-310 (Jul 08, 2004) (14 pages) doi:10.1115/1.1707035 History: Received September 01, 2002; Revised December 01, 2003; Online July 08, 2004
Copyright © 2004 by ASME
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Figures

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Relevant grinding problems for monitoring 1
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Relevant quantities for subsurface quality inspection 9
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The use of 6th order autoregressive time series coefficients for turning tool wear monitoring: AE signal, coefficient and its modeling error, orthogonal coefficients with respect to tool wearland size 25
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Applications of sensors for drilling, reaming and tapping 27
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Power spectral density of a force signal during a spindle revolution in a face milling operation 37
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Machine tool control and monitoring—general scheme
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(a) Power controlled cylindrical OD grinding: set up and control scheme 44 (b) Power controlled cylindrical OD grinding: response to depth of cut variation 44
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(a) Tool-workpiece interface geometry during a taper cut 49 (b) 70 degree taper cut with force and chip thickness constraints 49
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(a) Feedrate and depth of cut control of surface grinding: optimal feedback control scheme 54 (b) Feedrate and depth of cut control of surface grinding: resulting part height and grinding force 54
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Cutting force control in end milling using extended MRAC. Radial depth of cut 1.27 mm 62
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Application of a nonlinear machining force controller in a face milling operation 37
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Application of a robust machining force controller with process compensation to a face milling operation 74
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First five lobes in a stability lobe diagram
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(a) Chatter suppression via spindle speed variation. Ff-feed force. FC-cutting force. (b) Chatter suppression via spindle speed variation. Z-tool displacement. Ns-spindle speed.
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Grafcet diagram of a supervisory machining controller for a face milling operation 109
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Experimental implementation of a supervisory machining controller for a face milling operation 109
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PC-based, software-oriented control system 126

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