Online Parameterization of a Milling Force Model using an Intelligent System Architecture and Bayesian Optimization-Reference-Cited by-同舟云学术

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Online Parameterization of a Milling Force Model using an Intelligent System Architecture and Bayesian Optimization

Published:2022 Issue: Volume:107 Page:1041-1046
ISSN:2212-8271
Container-title:Procedia CIRP
language:en
Short-container-title:Procedia CIRP

Author:

Schmucker B.,Trautwein F.,Hartl R.,Lechler A.,Zaeh M.F.,Verl A.

Publisher

Elsevier BV

Subject

General Medicine

Reference19 articles.

1. Manufacturing automation: Metal cutting mechanics, machine tool vibrations, and CNC design;Altintas,2012

2. KUNBUS GmbH, Revolution pi (accessed December 9, 2021). https://revolutionpi.de/

3. Sotec GmbH & Co. KG, Cloudplug edge (accessed December 9, 2021). https://sotec.eu/products/cloudplug-edge/

4. Bosch Rexroth AG, ctrlx automation (accessed December 9, 2021). https://apps.boschrexroth.com/microsites/ctrlx-automation/de/

5. FANUC Deutschland GmbH, Focas (accessed December 9, 2021). https://www.fanuc.eu/de/de/cnc/development-software/focas-development-libraries

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Sensors for in-process and on-machine monitoring of machining operations;CIRP Journal of Manufacturing Science and Technology;2024-07

2. Hybrid learning-based digital twin for manufacturing process: Modeling framework and implementation;Robotics and Computer-Integrated Manufacturing;2023-08

3. Wide-bandwidth cutting force monitoring via motor current and accelerometer signals;CIRP Annals;2023

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