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    Hierarchical, Knowledge-Based Control in Turning 

    Source: Journal of Dynamic Systems, Measurement, and Control:;1993:;volume( 115 ):;issue: 001:;page 122
    Author(s): R. Teltz; M. A. Elbestawi
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A heirarchical, knowledge-based controller has been developed and implemented on a CNC lathe. The system consists of an intelligent supervisor and two control subsystems. These elements are ...
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    Tool Condition Monitoring in Machining by Fuzzy Neural Networks 

    Source: Journal of Dynamic Systems, Measurement, and Control:;1996:;volume( 118 ):;issue: 004:;page 665
    Author(s): S. Li; M. A. Elbestawi
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The Multiple Principal Component (MPC) Fuzzy Neural Network for tool condition monitoring in machining under varying cutting conditions is proposed. This approach is based on three major components ...
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    Model-Based Predictive Control of Workpiece Accuracy in Bar Turning 

    Source: Journal of Manufacturing Science and Engineering:;1998:;volume( 120 ):;issue: 001:;page 57
    Author(s): A. M. Shawky; M. A. Elbestawi
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In this paper a real-time model-based geometric control system is proposed for workpiece accuracy in bar turning. An on-line ultrasonic measurement system that operates in the presence of cutting ...
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    Dual-Sensor Based Robotic Deburring 

    Source: Journal of Manufacturing Science and Engineering:;1996:;volume( 118 ):;issue: 003:;page 439
    Author(s): G. M. Bone; M. A. Elbestawi
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: New results quantifying the performance of a vision and force sensor based robotic deburring system at high feedrates and on stainless steel parts are presented. The performance with stainless ...
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    An Enhanced Dynamic Model in Turning Including the Effect of Ploughing Forces 

    Source: Journal of Manufacturing Science and Engineering:;1997:;volume( 119 ):;issue: 001:;page 10
    Author(s): A. M. Shawky; M. A. Elbestawi
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In this paper computer simulation of cutting process dynamics in turning, using a mechanistic cutting force model, is significantly enhanced by incorporating a dynamic ploughing force model. The ...
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    Application of Some Parameter Adaptive Control Algorithms in Machining 

    Source: Journal of Dynamic Systems, Measurement, and Control:;1990:;volume( 112 ):;issue: 004:;page 611
    Author(s): M. A. Elbestawi; Y. Mohamed; L. Liu
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Several parameter adaptive control strategies are applied to the problem of regulating cutting forces in end milling under varying cutting conditions. These strategies are shown, using real time ...
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    Generation of Milled Surfaces Including Tool Dynamics and Wear 

    Source: Journal of Manufacturing Science and Engineering:;1993:;volume( 115 ):;issue: 003:;page 245
    Author(s): F. Ismail; M. A. Elbestawi; R. Du; K. Urbasik
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In this paper, a mechanistic model for surface generation in peripheral milling, which includes the effects of cutter vibrations, run out, as well as flank wear is presented. The surface ...
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    Automated Monitoring of Manufacturing Processes, Part 2: Applications 

    Source: Journal of Manufacturing Science and Engineering:;1995:;volume( 117 ):;issue: 002:;page 133
    Author(s): R. Du; M. A. Elbestawi; S. M. Wu
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In Part 2 of this paper, three applications of automated monitoring of manufacturing processes are presented to demonstrate the use of monitoring methods discussed in Part 1 of the paper. These ...
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    Automated Monitoring of Manufacturing Processes, Part 1: Monitoring Methods 

    Source: Journal of Manufacturing Science and Engineering:;1995:;volume( 117 ):;issue: 002:;page 121
    Author(s): R. Du; M. A. Elbestawi; S. M. Wu
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper presents a systematic study of various monitoring methods suitable for automated monitoring of manufacturing processes. In general, monitoring is composed of two phases: learning and ...
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    Geometric Simulation of Ball-End Milling Operations 

    Source: Journal of Manufacturing Science and Engineering:;2001:;volume( 123 ):;issue: 002:;page 177
    Author(s): B. M. Imani; Ph.D. Candidate; M. A. Elbestawi
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In this paper, B-rep solid modeling techniques are used to deal with geometric modeling issues encountered in ball-end milling simulation. The precise B-rep model of the cutter swept volume is ...
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