Suppressing vibration modes of spindle-holder-tool assembly through FRF modification for enhanced chatter stability

Mohammadi, Yaser; Azvar, Milad; Budak, Erhan

doi:10.1016/j.cirp.2018.03.003

Cited by 22 publications

(10 citation statements)

References 8 publications

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“…However, they did not present any experimental evidence to support their theoretical calculations. Mohammadi et al [105] modified the cutting system's FRF (Frequency Response Function) and selecting proper dimensions for the assembly tool-toolholder-spindle. The methodology was proposed to increase and predict allowable stability for system where tool length can be varied or not.…”

Section: Passive Chatter Suppression Techniquesmentioning

confidence: 99%

“…An active dynamic absorber reduces vibration by using, for example, a piezoelectric actuator generating inertia forces that counteract the disturbance produced in the turning process [106]. Active damping dissipates energy once the vibration is measured and an actuator introduces a controlled Mohammadi et al [105] modified the cutting system's FRF (Frequency Response Function) and selecting proper dimensions for the assembly tool-toolholder-spindle. The methodology was proposed to increase and predict allowable stability for system where tool length can be varied or not.…”

Section: Active Chatter Suppression Techniquesmentioning

confidence: 99%

“…The funding sponsors had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, and in the decision to publish the results. [101][102][103][104][105] 5 Active techniques for chatter avoidance [106][107][108][109][110][111][112][113][114][115] 10…”

Section: Conflicts Of Interestmentioning

confidence: 99%

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Prediction Methods and Experimental Techniques for Chatter Avoidance in Turning Systems: A Review

et al. 2019

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The general trend towards lightweight components and stronger but difficult to machine materials leads to a higher probability of vibrations in machining systems. Amongst them, chatter vibrations are an old enemy for machinists with the most dramatic cases resulting in machine-tool failure, accelerated tool wear and tool breakage or part rejection due to unacceptable surface finish. To avoid vibrations, process designers tend to command conservative parameters limiting productivity. Among the different machining processes, turning is responsible of a great amount of the chip volume removed worldwide. This paper reports some of the main efforts from the scientific literature to predict stability and to avoid chatter with special emphasis on turning systems. There are different techniques and approaches to reduce and to avoid chatter effects. The objective of the paper is to summarize the current state of research in this hot topic, particularly (1) the mechanistic, analytical, and numerical methods for stability prediction in turning; (2) the available techniques for chatter detection and control; (3) the main active and passive techniques.

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Section: Passive Chatter Suppression Techniquesmentioning

confidence: 99%

Section: Active Chatter Suppression Techniquesmentioning

confidence: 99%

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Prediction Methods and Experimental Techniques for Chatter Avoidance in Turning Systems: A Review

et al. 2019

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“…Regenerative chatter is a well-known and undesirable machining phenomenon that could result in cutting process instability, poor surface quality, excessive tool wear and reduced material removal rate. Many research efforts have made significant contributions to modeling of chatter mechanism [1][2][3]. Their work includes analytical or numerical time-domain techniques for generating stability lobe diagrams as the main tool to identify the stable zone in the machining process.…”

Section: Introductionmentioning

confidence: 99%

Dynamical Contact Parameter Identification of Spindle-Holder-Tool Assemblies Using Soft Computing Techniques

Čiča

Zeljković²,

Tešić³

2020

FU Mech Eng

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In industry, the capability to predict the tool point frequency response function (FRF) is an essential matter in order to ensure the stability of cutting processes. Fast and accurate identification of contact parameters in spindle-holder-tool assemblies is very important issue in machining dynamics analysis. This work is an attempt to illustrate the utility of soft computing techniques in identification and prediction contact parameters of spindle-holder-tool assemblies. In this paper, three soft computing techniques, namely, genetic algorithm (GA), simulated annealing (SA), and particle swarm optimization (PSO) were used for identification of contact dynamics in spindle-holder-tool assemblies. In order to verify the proposed identification approaches, numerical and experimental analysis of the spindle-holder-tool assembly was carried out and the results are presented. Finally, a model based on the adaptive neural fuzzy inference system (ANFIS) was used to predict the dynamical contact parameters at the holder-tool interface of a spindle-holder-tool assembly. Accuracy and performance of the ANFIS model has been found to be satisfactory while validated with experimental results.

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“…A prediction model of tool tip's frequency response functions was presented and verified by experiment [12]. A model to suppress chatter stability through implementing spindle-tool holder vibration modes was presented by FRF modification [13]. However, accurate FRF depends on experiment, which is not suitable for design process of the spindle system.…”

Section: Introductionmentioning

confidence: 99%

Chatter Stability Prediction Method of the Spindle-Tool Holder-Tool System with Interface Contact Characteristics

Cui

2020

Mathematical Problems in Engineering

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To predict chatter stability and suppress chatter vibration, a chatter stability prediction method for the spindle-tool holder-tool system with interface contact characteristics is constructed. A five-DOF model is constructed to determine the spindle-bearing interface dynamic contact stiffness considering the coupling effect of spindle and bearing. A fractal multiscale tool holder-spindle interface dynamic stiffness model is proposed considering time-varying cutting force. The fractal dimensions and cutting force coefficient parameters are identified from the power spectrum experiments and cutting force tests. The cutting force is solved according to the milling stability model. Dynamic model of the spindle-tool holder-tool system is found by the finite element method. Based on extended Floquet theory, chatter stability of the spindle system is studied. Effect of interface parameters, radial cutting depth, and feed rate on milling stability is researched. Milling force tests and milling stability tests are performed in order to verify the reliability of the method. Results find that the increase of front bearing preload and spindle-tool holder’s interference fit are effective to improve the milling stability. The optimal feed rate and the critical radial cutting depth are found. The model proposed in this paper can be used as an instruction for predicting and suppressing the chatter vibration and optimizing cutting parameters and also is helpful for designing the spindle-tool holder-tool system.

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Suppressing vibration modes of spindle-holder-tool assembly through FRF modification for enhanced chatter stability

Cited by 22 publications

References 8 publications

Prediction Methods and Experimental Techniques for Chatter Avoidance in Turning Systems: A Review

Prediction Methods and Experimental Techniques for Chatter Avoidance in Turning Systems: A Review

Dynamical Contact Parameter Identification of Spindle-Holder-Tool Assemblies Using Soft Computing Techniques

Chatter Stability Prediction Method of the Spindle-Tool Holder-Tool System with Interface Contact Characteristics

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