Journal ArticleDOI
The concept and progress of intelligent spindles: A review
Reads0
Chats0
TLDR
An in-depth review of the state-of-the-art of related technologies for intelligent spindles is provided, followed by descriptions of required characteristics, key enabling technologies and expected intelligent functions.Abstract:
Intelligent spindles are core components of the next-generation of intelligent/smart machine tools in the Industry 4.0 Era. The purpose of this paper is to clarify the concept of intelligent spindles and provide an in-depth review of the state-of-the-art of related technologies. A new integrated concept for intelligent spindles is proposed, followed by descriptions of required characteristics, key enabling technologies and expected intelligent functions. Relevant research that may be beneficial to the development of intelligent spindles is reviewed from six thrust areas, which include monitoring and control of tool condition, chatter, spindle collision, temperature/thermal error, spindle balance, and spindle health. Finally, current limitations and challenges are discussed, and future trends of intelligent spindles are prospected from various perspectives.read more
Citations
More filters
Journal ArticleDOI
Industry 4.0: A bibliometric analysis and detailed overview
TL;DR: This paper summarizes the growth structure of Industry 4.0 during the last 5 years and provides the concise background overview of Industry 5.0 related works and various application areas.
Journal ArticleDOI
Mechanical model development of rolling bearing-rotor systems: A review
TL;DR: In this paper, the authors reviewed and critically discussed the current progress of mechanical model development of RBR systems, and identified future trends for research, and summarized five kinds of rolling bearing models, namely, the lumped-parameter model, the quasi-static model, quasi-dynamic model, dynamic model, and the finite element (FE) model.
Journal ArticleDOI
Smart Machining Process Using Machine Learning: A Review and Perspective on Machining Industry
Dong-Hyeon Kim,Thomas J. Y. Kim,Xinlin Wang,Mincheol Kim,Ying-Jun Quan,Jin Woo Oh,Soo-Hong Min,Hyung-Jung Kim,Binayak Bhandari,Insoon Yang,Sung-Hoon Ahn +10 more
TL;DR: This paper reviews and summarizes machining processes using machine learning algorithms and suggests a perspective on the machining industry.
Journal ArticleDOI
Recent progress of chatter prediction, detection and suppression in milling
Lida Zhu,Changfu Liu +1 more
TL;DR: A critical review of chatter is presented, focusing on regenerative chatter and mode coupling chatter, and four directions for future research are presented, including integrating the chatter prediction, detection and suppression units into a smart machine tool or smart spindle.
Journal ArticleDOI
Time-reassigned synchrosqueezing transform: The algorithm and its applications in mechanical signal processing
TL;DR: In this article, a time-reassigned synchrosqueezing transform (TSST) was proposed for impulsive-like signal whose TF ridge curves is nearly parallel with the frequency axis.
References
More filters
Journal ArticleDOI
A review on machinery diagnostics and prognostics implementing condition-based maintenance
TL;DR: This paper attempts to summarise and review the recent research and developments in diagnostics and prognostics of mechanical systems implementing CBM with emphasis on models, algorithms and technologies for data processing and maintenance decision-making.
Journal ArticleDOI
Analytical Prediction of Stability Lobes in Milling
Yusuf Altintas,Erhan Budak +1 more
TL;DR: In this article, a new method for the analytical prediction of stability lobes in milling is presented, which requires transfer functions of the structure at the cutter -workpiece contact zone, static cutting force coefficients, radial immersion and the number of teeth on the cutter.
Journal ArticleDOI
Service Innovation and Smart Analytics for Industry 4.0 and Big Data Environment
Jay Lee,Hung An Kao,Shanhu Yang +2 more
TL;DR: This paper addresses the trends of manufacturing service transformation in big data environment, as well as the readiness of smart predictive informatics tools to manage big data, thereby achieving transparency and productivity.
Journal ArticleDOI
Cyber-physical systems in manufacturing
László Monostori,László Monostori,Botond Kádár,Thomas Bauernhansl,Thomas Bauernhansl,S. Kondoh,Soundar R. T. Kumara,Gunther Reinhart,Olaf Sauer,Günther Schuh,Günther Schuh,Wilfried Sihn,Kanji Ueda +12 more
TL;DR: There are significant roots in general and in particular to the CIRP community – which point towards CPPS, and expectations towards research in and implementation of CPS and CPPS are outlined.
Journal ArticleDOI
Advanced monitoring of machining operations
TL;DR: In this paper, the past contributions of CIRP in these areas are reviewed and an up-to-date comprehensive survey of sensor technologies, signal processing, and decision making strategies for process monitoring is provided.