Chao Liu , Youfeng Wei , Juanjuan Zheng , Shaofu Huang , Gang Shen
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引用次数: 0
Abstract
Cutting vibration and cutting force are two critical physical variables that offer valuable insights into the screw whirling process. Most previous studies have focused on experimental characterisation or tool motion analysis, lacking research on the intrinsic coupling relationship between vibration and cutting force. This has resulted in a lack of systematic understanding of the dynamic interaction processes within the machining system. This study performs appropriate phase space reconstruction (PSR) on one-dimensional milling signals and uses it to draw a cross-recursive plot (CRP). Based on the structural characteristics of the image, the correlation between signals is discussed qualitatively. A subsequent cross recurrence quantitative analysis (CRQA) is employed to quantitatively evaluate the correlation across different process parameters. Unlike traditional non-linear analysis techniques, the cross-recursive method can capture coupling properties in short-term, non-stationary, non-linear signals. This paper is the first to apply the cross-recursive method to the study of the correlation between vibration and cutting force in dry whirlwind milling. The research results indicate that there is a good continuous correlation between vibration and cutting force under certain combinations of process parameters. At high cutting speeds (Vt = 180 m/min), the use of multiple cutting tools (Nt = 6) significantly reduces the correlation and stability between vibration and force (by approximately 30–35 %). However, at low cutting speeds (Vt = 60 m/min), the use of multiple cutting tools enhances the correlation (by approximately 20 %).
期刊介绍:
Contributions are invited on novel achievements in all fields of measurement and instrumentation science and technology. Authors are encouraged to submit novel material, whose ultimate goal is an advancement in the state of the art of: measurement and metrology fundamentals, sensors, measurement instruments, measurement and estimation techniques, measurement data processing and fusion algorithms, evaluation procedures and methodologies for plants and industrial processes, performance analysis of systems, processes and algorithms, mathematical models for measurement-oriented purposes, distributed measurement systems in a connected world.