A method to predict chatter stability accurately in milling thin-walled parts by considering force-induced deformation
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Title
A method to predict chatter stability accurately in milling thin-walled parts by considering force-induced deformation
Authors
Keywords
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Journal
Journal of Manufacturing Processes
Volume 106, Issue -, Pages 552-563
Publisher
Elsevier BV
Online
2023-10-17
DOI
10.1016/j.jmapro.2023.10.033
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Note: Only part of the references are listed.- Semianalytic stability algorithm in the frequency domain for interrupted milling
- (2023) M. Sanz-Calle et al. INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE
- An Explicit Coupling Model for Accurate Prediction of Force-Induced Deflection in Thin-Walled Workpiece Milling
- (2022) Da-Ming Shi et al. JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME
- Optimization of energy‐capture performance of point‐absorber wave energy converter
- (2022) Baocheng Zhang et al. INTERNATIONAL JOURNAL OF ENERGY RESEARCH
- An efficient and accurate chatter prediction method of milling processes with a transition matrix reduction scheme
- (2022) Yun Yang et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Chatter suppression for milling of thin-walled workpieces based on active modal control
- (2022) Jianan Du et al. Journal of Manufacturing Processes
- Physics-informed Bayesian inference for milling stability analysis
- (2021) Gengxiang Chen et al. INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE
- A state-of-art review on chatter and geometric errors in thin-wall machining processes
- (2021) Ge Wu et al. Journal of Manufacturing Processes
- Dynamics and chatter stability of crest-cut end mills
- (2021) Faraz Tehranizadeh et al. INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE
- Time-varying dynamics updating method for chatter prediction in thin-walled part milling process
- (2021) Weitao Li et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Chatter prediction in flank milling of thin-walled parts considering force-induced deformation
- (2021) Weitao Li et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Stability analysis of the milling process of the thin floor structures
- (2021) Xue-Bin Dang et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Chatter formation during milling due to stochastic noise-induced resonance
- (2021) Henrik T Sykora et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- An efficient method to predict the chatter stability of titanium alloy thin-walled workpieces during high-speed milling by considering varying dynamic parameters
- (2020) Jilu Feng et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Stability boundary and optimal operating parameter identification in milling using Bayesian learning
- (2020) Jaydeep Karandikar et al. Journal of Manufacturing Processes
- A novel harmonic solution for chatter stability of time periodic systems
- (2020) Fabrizio Defant et al. JOURNAL OF SOUND AND VIBRATION
- Recent progress of chatter prediction, detection and suppression in milling
- (2020) Lida Zhu et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- 3D chatter stability of high-speed micromilling by considering nonlinear cutting coefficients, and process damping
- (2020) Qidi Chen et al. Journal of Manufacturing Processes
- Multi-Objective Design Optimization of an IPMSM Based on Multilevel Strategy
- (2020) Xiaodong Sun et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Probabilistic modeling of uncertainties in fatigue reliability analysis of turbine bladed disks
- (2020) Xiao-Peng Niu et al. INTERNATIONAL JOURNAL OF FATIGUE
- Vibration Performance Redistribution in Heterogeneous Networks
- (2020) Genling Huang et al. SHOCK AND VIBRATION
- Chatter analysis and mitigation of milling of the pocket-shaped thin-walled workpieces with viscous fluid
- (2020) Xue-Bin Dang et al. INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
- Dynamic model and stability prediction of thin-walled component milling with multi-modes coupling effect
- (2020) Xiaojuan Wang et al. JOURNAL OF MATERIALS PROCESSING TECHNOLOGY
- Research on milling stability of thin-walled parts based on improved multi-frequency solution
- (2019) Boling Yan et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Portable damping system for chatter suppression on flexible workpieces
- (2019) X. Beudaert et al. CIRP ANNALS-MANUFACTURING TECHNOLOGY
- Chatter avoidance via structural modification of tool-holder geometry
- (2019) Tom J. Gibbons et al. INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE
- Chatter stability of synchronized elliptical vibration assisted milling
- (2019) Jian Gao et al. CIRP Journal of Manufacturing Science and Technology
- Machining deformation prediction of thin-walled workpieces in five-axis flank milling
- (2018) Liping Wang et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Surface form error prediction in five-axis flank milling of thin-walled parts
- (2018) Zhou-Long Li et al. INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE
- Predictive modeling of chatter stability considering force-induced deformation effect in milling thin-walled parts
- (2018) Yuwen Sun et al. INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE
- An efficient decomposition-condensation method for chatter prediction in milling large-scale thin-walled structures
- (2018) Yun Yang et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- New deformation prediction of micro thin-walled structures by iterative FEM
- (2017) Peng-fei Li et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Upgraded stability analysis of milling operations by means of advanced modeling of tooling system bending
- (2017) G. Totis et al. INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE
- Time-Domain Modeling of Varying Dynamic Characteristics in Thin-Wall Machining Using Perturbation and Reduced-Order Substructuring Methods
- (2017) Oguzhan Tuysuz et al. JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME
- Interval model updating using perturbation method and Radial Basis Function neural networks
- (2017) Zhongmin Deng et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Modeling dynamics and stability of variable pitch and helix milling tools for development of a design method to maximize chatter stability
- (2017) Alptunc Comak et al. PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY
- Chatter suppression techniques in metal cutting
- (2016) J. Munoa et al. CIRP ANNALS-MANUFACTURING TECHNOLOGY
- A time-space discretization method in milling stability prediction of thin-walled component
- (2016) Qinghua Song et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Generalized model for dynamics and stability of multi-axis milling with complex tool geometries
- (2016) Omer Ozkirimli et al. JOURNAL OF MATERIALS PROCESSING TECHNOLOGY
- An examination of the fundamental mechanics of cutting force coefficients
- (2013) Minghai Wang et al. INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE
- Stability lobes in milling including process damping and utilizing Multi-Frequency and Semi-Discretization Methods
- (2011) K. Ahmadi et al. INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE
- Diffuse response surface model based on moving Latin hypercube patterns for reliability-based design optimization of ultrahigh strength steel NC milling parameters
- (2011) Peipei Zhang et al. STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
- Strategies for error prediction and error control in peripheral milling of thin-walled workpiece
- (2008) M. Wan et al. INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE
- Systematic simulation procedure of peripheral milling process of thin-walled workpiece
- (2007) M. Wan et al. JOURNAL OF MATERIALS PROCESSING TECHNOLOGY
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