scholarly journals Kalman filter design for real-time estimation of modal parameters and cutting force coefficients for determining the dynamic stability of high-speed low-radial-immersion milling processes

2014 ◽  
Author(s):  
Josiah A. Bryan
Keyword(s):  
Kalman Filter ◽  
Cutting Force ◽  
Dynamic Stability ◽  
High Speed ◽  
Filter Design ◽  
Time Estimation ◽  
Modal Parameters ◽  
Cutting Force Coefficients ◽  
Real Time Estimation ◽  
Low Radial Immersion

Estimating Cutting Force Coefficients in High-Speed Low-Radial-Immersion Milling Processes

2014 ◽  
Author(s):  
Josiah A. Bryan ◽  
Roger C. Fales
Keyword(s):  
Stability Analysis ◽  
Cutting Force ◽  
High Speed ◽  
Milling Process ◽  
Model Parameters ◽  
Tool Deflection ◽  
Chatter Stability ◽  
Cutting Force Coefficients ◽  
Force Coefficients ◽  
Low Radial Immersion

A high-speed milling system is considered, which is prone to chatter vibration, a stability condition dependent on system parameters (e.g., cutting force coefficients). This work is motivated by the need for model parameters which can be used in stability analysis. An Extended Kalman Filter (EKF) is proposed to estimate cutting force coefficients for each tooth in a low-radial-immersion milling process to aid chatter stability prediction. The proposed EKF utilizes tool deflection measurements and no force measurements. The model used in the EKF is found to be observable, a quality required to achieve valid state estimations. Running the EKF with experimental tool deflection measurements produces estimates of cutting force coefficients that result in good correlation between simulation (using the estimated coefficients) and experiment. Such an EKF may help customize chatter stability analysis to any particular tool-workpiece system.

scholarly journals Real Time Estimation of Modal Parameters and Their Quality Assessment

2008 ◽  
Vol 15 (3-4) ◽  
pp. 299-306 ◽  
Author(s):  
Tadeusz Uhl ◽  
Maciej Petko ◽  
Grzegorz Karpiel ◽  
Andrzej Klepka
Keyword(s):  
Laboratory Test ◽  
Quality Assessment ◽  
Real Time ◽  
Time Estimation ◽  
Parameters Estimation ◽  
Modal Parameters ◽  
Recursive Method ◽  
Test Rig ◽  
Confidence Bounds ◽  
Real Time Estimation

In this paper the recursive method for modal parameters estimation is formulated and verified. Formulated algorithms are implemented in the FPGA electronic chip. As a result, the modal parameters and confidence bounds for the modal parameters are obtained in real time. The algorithms and their implementations are tested on laboratory test rig data and applied to – flight modal analysis of an airframe structure.

Study on the Stability of High-Speed Milling of Thin-Walled Workpiece

2010 ◽  
Vol 97-101 ◽  
pp. 1849-1852
Author(s):  
Tong Yue Wang ◽  
Ning He ◽  
Liang Li
Keyword(s):  
Aluminum Alloy ◽  
Machine Tool ◽  
High Speed ◽  
Modal Parameters ◽  
Inertia Effect ◽  
Cutting Force Coefficients ◽  
High Speed Milling ◽  
Machining System ◽  
Thin Walled ◽  
The Stability

Thin-walled structure is easy to vibrate in machining. The dynamic milling model of thin-walled workpiece is analyzed based on the analysis of degrees in two perpendicular directions of machine tool-workpiece system. In high speed milling of 2A12 aluminum alloy, the compensation method based on the modification of inertia effect is proposed and accurate cutting force coefficients are obtained. The machining system is divided into “spindle-cutter” and “workpiece-fixture” two sub-systems and the modal parameters of two sub-systems are acquired via modal analysis experiments. Finally, the stability lobes for high speed milling of 2A12 thin-walled workpiece are obtained by the use of these parameters. The results are verified against cutting tests.

scholarly journals A Mobile Kalman-Filter Based Solution for the Real-Time Estimation of Spatio-Temporal_newline Gait Parameters

2016 ◽  
Vol 24 (7) ◽  
pp. 764-773 ◽  
Author(s):  
Alberto Ferrari ◽  
Pieter Ginis ◽  
Michael Hardegger ◽  
Filippo Casamassima ◽  
Laura Rocchi ◽  
...  
Keyword(s):  
Kalman Filter ◽  
Real Time ◽  
Time Estimation ◽  
The Real ◽  
Gait Parameters ◽  
Real Time Estimation
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