Results 1 to 10 of about 123 (99)

Estimation of the Frequency Response Function of the Rotational Degree of Freedom

Applied Sciences, 2021
One of the factors that influence the dynamic characteristics of machining systems is the cutting tool. Cutting tools are very diverse, and receptance coupling substructure analysis (RCSA) is essential for analyzing the dynamic characteristics of each ...
Ji-wook Kim, Jae-wook Lee, Kun-woo Kim, Ji-heon Kang, Min-seok Yang, Dong-yul Kim, Seung-yeop Lee, Jin-seok Jang   +7 more
doaj   +2 more sources

Extending Generalized Explicit Terms and Applying Euler–Bernoulli Beam Theory to Enhance Dynamic Response Prediction in Receptance Coupling Method

Applied Sciences
This paper presents a theoretical framework to enhance the prediction of dynamic responses in complex mechanical systems, such as vehicle structures, by incorporating both translational and rotational degrees of freedom.
Behzad Hamedi, Saied Taheri
doaj   +2 more sources

An Improved Receptance Coupling Substructure Analysis to Predict Chatter Free High Speed Cutting Conditions

Procedia CIRP, 2013
Abstract This paper presents a new Receptance Coupling Substructure Analysis (RCSA) approach. The technique represents a valid instrument to predict Frequency Response Function, and consequently chatter free cutting conditions, of a not previously tested mill. The proposed RCSA methodology exploits experimental dynamic compliance measurements and the
Paolo Albertelli, Michele Monno
exaly   +3 more sources

Optimization and Tuning of Passive Tuned Mass Damper Embedded in Milling Tool for Chatter Mitigation

Journal of Manufacturing and Materials Processing, 2020
Milling tools with a large length–diameter ratio are widely applied in machining structural features with deep depth. However, their high dynamic flexibility gives rise to chatter vibrations, which results in poor surface finish, reduced productivity ...
Wenshuo Ma, Jingjun Yu, Yiqing Yang, Yunfei Wang   +3 more
doaj   +2 more sources

Transitioning from Simulation to Reality: Applying Chatter Detection Models to Real-World Machining Data

Machines
Chatter, a self-excited vibration phenomenon, is a critical challenge in high-speed machining operations, affecting tool life, product surface quality, and overall process efficiency.
Matthew Alberts, Sam St. John, Simon Odie, Anahita Khojandi, Bradley Jared, Tony Schmitz, Jaydeep Karandikar, Jamie B. Coble   +7 more
doaj   +2 more sources

Dynamic Parameter Identification of Tool-Spindle Interface Based on RCSA and Particle Swarm Optimization [PDF]

Shock and Vibration, 2013
In order to ensure the stability of machining processes, the tool point frequency response functions (FRFs) should be obtained initially. By the receptance coupling substructure analysis (RCSA), the tool point FRFs can be generated quickly for any ...
Erhua Wang, Bo Wu, Youmin Hu, Shuzi Yang, Yao Cheng   +4 more
doaj   +2 more sources

Design, Optimization, and Experimental Validation of Dynamic Vibration Absorber for Vibration Suppression in Cantilevered Plate Structures

Vibration
Vibration control constitutes a critical consideration in structural design, as excessive oscillations may precipitate fatigue damage, operational instability, and catastrophic failures.
Linn Ye, Yiqing Yang, Wenshuo Ma, Wenjing Wu   +3 more
doaj   +2 more sources

A novel computational approach using receptance coupling substructure analysis for prediction of tool tip dynamics in industrial machining applications

International Journal of Machine Tools and Manufacture
P J Arrazola, P Aristimuño
exaly   +2 more sources

Characterizing Spindle–Tool Holder Interfaces for Tool-Point FRF Prediction Using RCSA and Finite Element Modeling

Machines
The tool-point frequency response function (FRF) of a spindle–tool system plays a crucial role in predicting machining stability. Among the factors influencing the FRF, the interface characteristics between the spindle and the tool holder are ...
Jui-Pin Hung, Yung-Chih Lin, Wei-Zhu Lin, Xiao-Jian Xuan, Yu-Sheng Lai   +4 more
doaj   +1 more source

Prediction of Dynamic Characteristics and Control Parameter Optimization for Precision Motion Stages by Integrating Generalized Receptance Coupling Substructure Analysis and Machine Learning

Machines
To address the complex dynamic behavior of four-axis precision motion platforms under high-speed and high-acceleration conditions, as well as the difficulty of traditional modeling methods in balancing accuracy and efficiency, this paper proposes a data ...
Fengguo Li, Peng Yao, Yao Hou, Xinyu Mao, Zhonglei Zhang, Hongyi Sun, Jiarong Bai, Jubin Zhang, Tonghui Hu, Wei Wu, Jiaofeng Ma, Yang Yu, Wenxiu Yu   +12 more
doaj   +1 more source