Adaptive control to actively damp bistabilities in highly interrupted turning processes using a hardware-in-the-loop simulator

GN Sahu, M Law, P Wahi - Journal of Vibration and Control, 2023 - journals.sagepub.com
Interruptions in turning make the process forces non-smooth and nonlinear. Smooth
nonlinear cutting forces result in the process of being stable for small perturbations and …

Stability Analysis and Nonlinear Chatter Prediction for Grinding a Slender Cylindrical Part

T Sun, Y Yan - Processes, 2023 - mdpi.com
A cylindrical plunge grinding process was modeled to investigate nonlinear regenerative
chatter vibration. The rotating workpiece was a slender Euler–Bernoulli beam, and the …

[PDF][PDF] Improving Robotic Milling Performance through Active Damping of Low-Frequency Structural Modes

GN Sahu, A Otto, S Ihlenfeldt - Journal of Manufacturing and …, 2024 - researchgate.net
Industrial robots are increasingly prevalent due to their large workspace and cost-
effectiveness. However, their limited static and dynamic stiffness can lead to issues like …

[HTML][HTML] Hardware-in-the-loop simulator for emulation and active control of chatter

GN Sahu, M Law - HardwareX, 2022 - Elsevier
Abstract Machine tool cutting performance is limited by the onset of regenerative chatter
vibrations. Chatter damages the machine tool system and must be avoided. Efficacy of …

Adaptive model-free gain tuning for active damping of machine tool vibrations

GN Sahu, P Deora, M Law, P Wahi - Journal of Vibration Engineering & …, 2022 - Springer
Purpose Chatter can damage parts. It must hence be avoided and/or suppressed. This
paper discusses the use of active vibration control to suppress chatter in a milling process …

Emulating chatter with process damping in turning using a hardware-in-the-loop simulator

GN Sahu, P Jain, M Law, P Wahi - Advances in Forming, Machining and …, 2022 - Springer
Improved chatter vibration-free cutting performance at low speed occurs due to process
damping. An additional cutting force component that arises due to interference of the …

Learning machining stability diagrams from data using neural networks

NA Shanavas, M Law, MK Singh - Manufacturing Technology Today, 2023 - mtt.cmti.res.in
Machining instabilities are detrimental. model predicted stability charts help identify cutting
parameters for stability. Since models disregard speed-varying cutting force characteristics …

Bayesian Learning Model for Predicting Stability of System with Nonlinear Characteristics

A Pujari, HS Rajput, M Law, M Singh - International Conference on …, 2022 - Springer
Instabilities in machining are detrimental. Usually analytical model-predicted stability charts
guide selection of cutting parameters to ensure stable processes. However, since models …