Prediction of chatter in NC machining based on a dynamic cutting force model for ball end milling

Kim, Seon-Jae; Lee, Han Ul; Cho, Dong‐Woo

doi:10.1016/j.ijmachtools.2007.04.005

Cited by 31 publications

(12 citation statements)

References 9 publications

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“…Generally, chatter in metal cutting operations originates from the dynamic interaction effect between structural and cutting dynamics [82,83]. Among the numerous detection and control strategies for chatter in automatic manufacturing systems introduced in the literature, methods based on dynamic cutting force re drawing more and more attention for their intrinsic relationship with dynamic systems.…”

Section: Application and Processing Of The Acquired Cutting Force mentioning

confidence: 99%

Methods and Research for Multi-Component Cutting Force Sensing Devices and Approaches in Machining

Liang

Zhang

et al. 2016

Sensors

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Multi-component cutting force sensing systems in manufacturing processes applied to cutting tools are gradually becoming the most significant monitoring indicator. Their signals have been extensively applied to evaluate the machinability of workpiece materials, predict cutter breakage, estimate cutting tool wear, control machine tool chatter, determine stable machining parameters, and improve surface finish. Robust and effective sensing systems with capability of monitoring the cutting force in machine operations in real time are crucial for realizing the full potential of cutting capabilities of computer numerically controlled (CNC) tools. The main objective of this paper is to present a brief review of the existing achievements in the field of multi-component cutting force sensing systems in modern manufacturing.

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Section: Application and Processing Of The Acquired Cutting Force mentioning

confidence: 99%

Methods and Research for Multi-Component Cutting Force Sensing Devices and Approaches in Machining

Liang

Zhang

et al. 2016

Sensors

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“…This paper presents a dynamic characteristic-based fuzzy adaptive control algorithm for overcoming the defect of the experience-based control rule and stabling the machining process. The research on the relation between the cutting force and the motor current [5,19,20] proved that the change of the spindle motor current value reflects the cutting force well and the cutting force obtained by measuring the spindle motor current is reasonable and feasible. Therefore this paper selects the spindle motor current instead of cutting force as the condition monitoring parameters.…”

Section: Introductionmentioning

confidence: 99%

Constant Cutting Force Control for CNC Machining Using Dynamic Characteristic-Based Fuzzy Controller

Liu

Wang

2015

Shock and Vibration

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This paper presents a dynamic characteristic-based fuzzy adaptive control algorithm (DCbFACA) to avoid the influence of cutting force changing rapidly on the machining stability and precision. The cutting force is indirectly obtained in real time by monitoring and extraction of the motorized spindle current, the feed speed is fuzzy adjusted online, and the current was used as a feedback to control cutting force and maintain the machining process stable. Different from the traditional fuzzy control methods using the experience-based control rules, and according to the complex nonlinear characteristics of CNC machining, the power bond graph method is implemented to describe the dynamic characteristics of process, and then the appropriate variation relations are achieved between current and feed speed, and the control rules are optimized and established based on it. The numerical results indicated that DCbFACA can make the CNC machining process more stable and improve the machining precision.

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“…The cutting tests conducted on the machining center verified the accuracy of the prediction model and observed the chatter phenomenon caused by different dominant modes. Kim et al [31] proposed a dynamic ball-end milling force model, and developed software for calculation of cutting shapes and predicting dynamic cutting force in general CNC machining and single-track machining. The frequency spectrum of chatter during ball-end milling can be detected.…”

Section: Introductionmentioning

confidence: 99%

Cutting Force and Nonlinear Chatter Stability of Ball-end Milling Cutter

Zhang

et al. 2021

Preprint

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Ball-end milling cutters are one of the most widely used cutters in the automotive, aerospace, die and machine parts industries. In addition, milling chatter will reduce the surface quality and production efficiency, resulting in noise. It is particularly important to model the cutting force and analyze the flutter stability of ball-end milling cutters. In this paper, a simplified milling force model of ball-end milling cutter with three degrees of freedom was established based on Merchant bevel cutting theory. The model simplified the milling force coefficient. The expressions of instantaneous milling area considering the vibration displacements in X, Y and Z directions were derived. The nonlinear dynamic cutting force model of ball-end milling cutter with three degrees of freedom was established. The nonlinear chatter vibration mechanical model of ball-end milling cutter with three degrees of freedom was established by introducing the time delay term, the stability analysis is carried out by time domain simulation. The proposed models were experimentally verified.

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Prediction of chatter in NC machining based on a dynamic cutting force model for ball end milling

Cited by 31 publications

References 9 publications

Methods and Research for Multi-Component Cutting Force Sensing Devices and Approaches in Machining

Methods and Research for Multi-Component Cutting Force Sensing Devices and Approaches in Machining

Constant Cutting Force Control for CNC Machining Using Dynamic Characteristic-Based Fuzzy Controller

Cutting Force and Nonlinear Chatter Stability of Ball-end Milling Cutter

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