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    Milling Bifurcations: A Review of Literature and Experiment 

    Source: Journal of Manufacturing Science and Engineering:;2018:;volume( 140 ):;issue: 012:;page 120801
    Author(s): Honeycutt, Andrew; Schmitz, Tony L.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This review paper presents a comprehensive analysis of period-n (i.e., motion that repeats every n tooth periods) bifurcations in milling. Although period-n bifurcations in milling were only first reported experimentally ...
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    A New Metric for Automated Stability Identification in Time Domain Milling Simulation 

    Source: Journal of Manufacturing Science and Engineering:;2016:;volume( 138 ):;issue: 007:;page 74501
    Author(s): Honeycutt, Andrew; Schmitz, Tony L.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A new metric is presented to automatically establish the stability limit for time domain milling simulation signals. It is based on periodically sampled data. Because stable cuts exhibit forced vibration, the sampled points ...
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    Milling Stability Interrogation by Subharmonic Sampling 

    Source: Journal of Manufacturing Science and Engineering:;2017:;volume( 139 ):;issue: 004:;page 41009
    Author(s): Honeycutt, Andrew; Schmitz, Tony L.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper describes the use of subharmonic sampling to distinguish between different instability types in milling. It is demonstrated that sampling time-domain milling signals at integer multiples of the tooth period ...
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    Surface Location Error and Surface Roughness for Period-N Milling Bifurcations 

    Source: Journal of Manufacturing Science and Engineering:;2017:;volume( 139 ):;issue: 006:;page 61010
    Author(s): Honeycutt, Andrew; Schmitz, Tony L.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper provides time domain simulation and experimental results for surface location error (SLE) and surface roughness when machining under both stable (forced vibration) and unstable (period-2 bifurcation) conditions. ...
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    Application of Bayesian Inference to Milling Force Modeling 

    Source: Journal of Manufacturing Science and Engineering:;2014:;volume( 136 ):;issue: 002:;page 21017
    Author(s): Karandikar, Jaydeep M.; Schmitz, Tony L.; Abbas, Ali E.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper describes the application of Bayesian inference to the identification of force coefficients in milling. Mechanistic cutting force coefficients have been traditionally determined by performing a linear regression ...
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    Uncertainty Propagation Through An Empirical Model of Cutting Forces in End Milling 

    Source: Journal of Manufacturing Science and Engineering:;2021:;volume( 143 ):;issue: 007:;page 071002-1
    Author(s): Bhattacharyya, Abhijit; Schueller, John K.; Mann, Brian P.; Schmitz, Tony L.; Gomez, Michael
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Empirical mathematical models of cutting forces in machining processes use experimentally determined input parameters to make predictions. A general method for propagation of input parameter uncertainties through such ...
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