Physics-informed KNN milling stability model with process damping effects

Schmitz, Tony

doi:10.1016/j.jmapro.2024.04.090

Title: Physics-informed KNN milling stability model with process damping effects

Journal Article · 11 May 2024 · Journal of Manufacturing Processes

DOI: https://doi.org/10.1016/j.jmapro.2024.04.090 · OSTI ID:2473108

Schmitz, Tony ^[1]

University of Tennessee, Knoxville, TN (United States); Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States); University of Tennessee, Knoxville

This paper describes a k-nearest neighbors, or KNN, model for milling stability including process damping effects. A physics-based, frequency domain milling stability solution is used to generate the training data, but does not incorporate process damping effects. The data set is then updated using limited tests to capture the process damping behavior. A “stair step” approach is used to select the test points, where a first spindle speed-axial depth combination is selected based on the physics-based stability map, subsequent tests are defined using the previous test result, and data points are updated by knowledge of process damping behavior and the test results. Furthermore, the KNN modeling approach demonstrates the ability to predict both stable and unstable results, including process damping behavior.

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Research Organization:: University of Tennessee, Knoxville, TN (United States)

Sponsoring Organization:: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Energy Efficiency Office. Advanced Materials & Manufacturing Technologies Office (AMMTO); National Science Foundation (NSF) Engineering Research Center for Hybrid Autonomous Manufacturing Moving from Evolution to Revolution (ERC-HAMMER)

Grant/Contract Number:: EE0009400; AC05-00OR22725

OSTI ID:: 2473108

Journal Information:: Journal of Manufacturing Processes, Journal Name: Journal of Manufacturing Processes Vol. 120; ISSN 1526-6125

Publisher:: Society of Manufacturing Engineers; ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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