A Time-Series Data-Driven Method for Milling Force Prediction of Robotic Machining-Reference-Cited by-同舟云学术

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A Time-Series Data-Driven Method for Milling Force Prediction of Robotic Machining

Published:2024 Issue: Volume:73 Page:1-12
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Wu Kai¹^ORCID,Lu Yuan¹^ORCID,Huang Ruyi¹^ORCID,Kuhlenkötter Bernd²^ORCID,Li Weihua³^ORCID

Affiliation:

1. Shien-Ming Wu School of Intelligent Engineering, South China University of Technology, Guangzhou, China

2. Chair of Production Systems, Ruhr-University Bochum, Bochum, Germany

3. School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, China

Funder

National Natural Science Foundation of China

Cooperative Scientific Research Project of the “Chunhui Program” of the Ministry of Education of China

Special Fund for the Development of the Marine Economy in Guangdong Province

Natural Science Foundations of Guangdong Province, China

China Postdoctoral Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/19/10367905/10466631.pdf?arnumber=10466631

Reference39 articles.

1. Robot skills for manufacturing: From concept to industrial deployment

2. Online Process Monitoring Based on Proprioceptive Signals for Robotic Grinding

3. Vibration-Based Cutting Depth Control and Angle Adjustment of Robotic Curved Bone Milling

4. Challenges and opportunities for battery health estimation: Bridging laboratory research and real-world applications

5. Dynamic characterization of machining robot and stability analysis

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