Preventing chatter vibrations in heavy-duty turning operations in large horizontal lathes

Urbikaín, Gorka; Campa, Francisco J.; Zulaika, Juanjo; Lacalle, Luís Norberto López de; Alonso, Miguel Ángel Verdugo; Collado, Valentín

doi:10.1016/j.jsv.2014.12.002

Cited by 74 publications

(38 citation statements)

References 37 publications

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“…These authors verified the capacity of the method for different dynamic conditions since the piece continuously loses mass. Urbikain et al [54] predicted the stability lobes for cases in turning where spindle speed (not cutting speed) is low, between 50 and 100 rpm such as horizontal lathes, using multi-mode analysis. They confirmed positively their numerical models ( Figure 3b) but found difficulties for reasonable computation times.…”

Section: Of 18mentioning

confidence: 99%

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: Of 18mentioning

confidence: 99%

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

et al. 2019

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“…chatter free, machining conditions. These recommendations are useful for the machinist or at the machine design step to optimize machine tool architecture . Workpiece quality: This covers all the aspects regarding dimensional tolerances, surface accuracy, and residual stresses. It depends not only on the theoretical (stationary) cutting force but on the system dynamics and so, on modal analysis.…”

Section: Context Of Industrial Engineering and Educationmentioning

confidence: 99%

Training and learning of specialized engineers by means of a new advanced software

Urbikaín

Lacalle

2015

Comp Applic In Engineering

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The Group of High Performance Manufacturing of the University of the Basque Country (UPV/EHU) conducts training of specialized industrial engineers, providing specific courses of Advanced Manufacturing together with student participation in innovative projects. Arising from the research activities of the High Speed Machining (HSM) division, a new software with key utilities is presented as a personal approach of the authors to address vibrations and other problems in distinct machining systems. The tool begins to be used during computerbased practice sessions as well as during practical sessions at the mechanical workshop. It is capable of generating predictive results and extracting direct information from real data. Following the objectives of the instructional strategy, a more than favorable perception was found from the surveys and examination passing rates. This evolving application is conceived of as an introductory learning and training tool for vibration analysis for future manufacturing engineers to reduce the gap between the theoretical and practical sides of the subject. ß 2015 Wiley Periodicals, Inc. Comput Appl Eng Educ 24:241-254, 2016; View this article online at wileyonlinelibrary.com/ journal/cae;

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“…Then, Urbikain et al proposed semidiscretization methods instead of time domain analysis in vibration prediction. They proved that Chebyshev or homotopy can be useful to solve the basic equation more efficiently in dynamic analysis [3,4]. However, this paper focuses on the latter one.…”

Section: Introductionmentioning

confidence: 99%

Weak Fault Feature Extraction Scheme for Intershaft Bearings Based on Linear Prediction and Order Tracking in the Rotation Speed Difference Domain

Jiang¹,

HU²,

Feng³

et al. 2017

Applied Sciences

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Abstract:Because both the inner and outer rings rotate, the intershaft bearings used in gas turbines do not have fixed bearing housings. As a result, the vibration of intershaft bearings cannot be measured directly. Therefore, a vibration signal can only be collected through indirect measurement. First, it must be transferred to adjacent bearings through the shafting. Then, it should be transferred by the elastic supports and complex structure of the thin-walled strut. The vibration signal is severely weakened during transmission under the influences of the transfer path. In the meantime, in the vibration of other components, a huge amount of noise is produced by the air flow, and the variable speeds of the inner and outer rings of the intershaft bearings make it harder to analyze the signal. Hence, it is very difficult to extract the vibration fault features of intershaft bearings. To deal with the variable speed of dual rotors, as well as the weak signal, a fault feature extraction scheme for the weak fault signals of intershaft bearings is proposed in this paper. This scheme is based on linear prediction, spectral kurtosis, and order tracking in the rotation speed difference domain. First, a prewhitening process, based on linear prediction, is applied to the fault signal of the intershaft bearings to eliminate the stationary component. Thus, the remaining components, including the impulse signal of faulty bearings and nonstationary noise, can retain the features of the vibrational bearings, in addition to reducing the noise. Second, the optimal center frequency and bandwidth of the band-pass filter, applied to resonant demodulation, are selected by spectral kurtosis. Subsequently, the enveloped signal containing the features of the faults found in the intershaft bearings is obtained by resonance demodulation. The quasi-stationary signal in the angle domain is acquired by the even angle resampling of the nonstationary envelope signal, as a result of the variable speed. The final order spectrum is obtained through a Fourier transform. Fault diagnosis can be conducted for the intershaft bearings by comparing this spectrum with the feature order of the bearing fault. Experiments were conducted to verify the validity of the proposed scheme.

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Preventing chatter vibrations in heavy-duty turning operations in large horizontal lathes

Cited by 74 publications

References 37 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

Training and learning of specialized engineers by means of a new advanced software

Weak Fault Feature Extraction Scheme for Intershaft Bearings Based on Linear Prediction and Order Tracking in the Rotation Speed Difference Domain

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