[HTML][HTML] Alternative experimental methods for machine tool dynamics identification: A review

A Iglesias, LT Tunç, O Özsahin, O Franco… - … Systems and Signal …, 2022 - Elsevier
An accurate machine dynamic characterization is essential to properly describe the dynamic
response of the machine or predict its cutting stability. However, it has been demonstrated …

Investigation on an in-process chatter detection strategy for micro-milling titanium alloy thin-walled parts and its implementation perspectives

P Wang, Q Bai, K Cheng, Y Zhang, L Zhao… - Mechanical Systems and …, 2023 - Elsevier
Thin-walled micro parts are widely used in many fields, such as aviation, aerospace,
precision engineering, and even micro-molds. Compared with other micro-fabrication …

[HTML][HTML] In-process impulse response of milling to identify stability properties by signal processing

AK Kiss, D Hajdu, D Bachrathy, G Stepan… - Journal of Sound and …, 2022 - Elsevier
In this work we present a quantitative measurement-based method to describe the stability
behaviour of a periodic dynamical system. In-process response for impulse during milling is …

Online monitoring dynamic characteristics in thin-walled structure milling: A physics-constrained bayesian updating approach

DM Shi, T Huang, XM Zhang… - IEEE/ASME Transactions …, 2023 - ieeexplore.ieee.org
Accurate estimation of modal parameters of thin-walled structures during the milling process
is crucial since it determines the accuracy of deformation and vibration prediction and then …

Analysis of the displacement of thin-walled workpiece using a high-speed camera during peripheral milling of aluminum alloys

J Czyżycki, P Twardowski, N Znojkiewicz - Materials, 2021 - mdpi.com
The paper presents the possibilities of a high-speed camera in recording displacements of
thin-walled workpiece during milling made of aluminum alloys, which allowed for an …

QUASIM: Quantum Computing Enhanced Service Ecosystem for Simulation in Manufacturing

W Maass, A Agrawal, A Ciani, S Danz… - KI-Künstliche …, 2024 - Springer
Quantum computing (QC) and machine learning (ML), taken individually or combined into
quantum-assisted ML (QML), are ascending computing paradigms whose calculations come …

Dynamic characterization of milling based on interrupted feed motion

AK Kiss, D Bachrathy - MM Science Journal, 2021 - real.mtak.hu
This study presents an experimental method for detecting and avoiding chatter vibrations
that occur during general milling processes. The main idea is to capture the so-called …

Cloud-based process design in a digital twin framework with integrated and coupled technology models for blisk milling

V Rudel, P Kienast, G Vinogradov, P Ganser… - Frontiers in …, 2022 - frontiersin.org
In this publication, the application of an implemented Digital Twin (DT) framework is
presented by orchestration of CAM-integrated and containerized technology models …

Quantum Computing Enhanced Service Ecosystem for Simulation in Manufacturing

W Maass, A Agrawal, A Ciani, S Danz… - arXiv preprint arXiv …, 2024 - arxiv.org
Quantum computing (QC) and machine learning (ML), taken individually or combined into
quantum-assisted ML (QML), are ascending computing paradigms whose calculations come …

Online analysis method to correlate the mode shape for forced vibration in milling thin-walled workpieces

Q Guo, X Mao, Y Peng, B Li, R Yan, L Yin… - The International Journal …, 2023 - Springer
Forced vibration is a type of stable vibration different from chatter, which reduces the
machining quality of a formed surface. The forced vibration characteristics of a thin-walled …