Results 41 to 50 of about 12,237 (275)
Prediction, detection, and suppression of regenerative chatter in milling
In metal cutting processing, especially in the processing of low-rigidity workpieces, chatter is a key factor affecting many aspects such as surface quality, processing efficiency and tool life.
Bo Liu +4 more
doaj +1 more source
Chatter detection on thin wall machining of alluminum alloy under MQL condition [PDF]
The purpose of this project was to analyze and study the chatter detection on thin wall machining of aluminum alloy under mql condition. Initially, 3 difference type of thin wall design are selected which is L shape, T shape and Pocket shape, then the ...
Amirul Syafiq, Ibrahim
core
This paper proposes two projector‐based Hopfield neural network (HNN) estimators for online, constrained parameter estimation under time‐varying data, additive disturbances, and slowly drifting physical parameters. The first is a constraint‐aware HNN that enforces linear equalities and inequalities (via slack neurons) and continuously tracks the ...
Miguel Pedro Silva
wiley +1 more source
Suppression of period doubling chetter in high-speed milling by spindle speed variation [PDF]
Spindle speed variation is a well known technique to suppress regenerative machine tool vibra- tions, but it is usually considered to be effective only for low spindle speeds.
Arnaud, Lionel +4 more
core +3 more sources
Hard‐Magnetic Soft Millirobots in Underactuated Systems
This review provides a comprehensive overview of hard‐magnetic soft millirobots in underactuated systems. It examines key advances in structural design, physics‐informed modeling, and control strategies, while highlighting the interplay among these domains.
Qiong Wang +4 more
wiley +1 more source
Deep Neural Network Tool Chatter Model for Aluminum Surface Milling Using Acoustic Emmision Sensor
Chatter is a self-excited vibration in any machining processes which contributes to the system instability due to resonance and resulting in an inaccuracy in machining product.
Abul Hasan M. +3 more
doaj +1 more source
Multi-station deep learning on geodetic time series detects slow slip events in Cascadia
Slow slip events (SSEs) originate from a slow slippage on faults that lasts from a few days to years. A systematic and complete mapping of SSEs is key to characterizing the slip spectrum and understanding its link with coeval seismological signals.
Giuseppe Costantino +5 more
doaj +1 more source
Application of the stability lobes theory to milling of thin workpieces, experimental approach [PDF]
The optimisation of cutting conditions in High Speed Machining (HSM) requires the use of a vibratory approach in order to avoid a fast deterioration of the tool and of the spindle, as well as a loss of quality of the surface rough- ness.
Arnaud, Lionel, Dessein, Gilles
core
Nonlinear dynamics of a regenerative cutting process [PDF]
We examine the regenerative cutting process by using a single degree of freedom non-smooth model with a friction component and a time delay term. Instead of the standard Lyapunov exponent calculations, we propose a statistical 0-1 test analysis for chaos
Litak, Grzegorz +2 more
core +2 more sources
Quadrotor unmanned aerial vehicle control is critical to maintain flight safety and efficiency, especially when facing external disturbances and model uncertainties. This article presents a robust reinforcement learning control scheme to deal with these challenges.
Yu Cai +3 more
wiley +1 more source

