Prediction of Aeroelastic Flutter in a Hard Disk Drive

Kim, B.C.; Raman, Arvind; Mote, C. D.

doi:10.1006/jsvi.2000.3209

Cited by 40 publications

(38 citation statements)

References 12 publications

(12 reference statements)

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“…In contrast to the mechanism proposed here, references [5,6] propose that #utter is driven by rotating damping forces in the #uid. In addition, they develop an experimental method for predicting #utter by estimating the rotation speed at which a vibration frequency "rst becomes undamped.…”

Section: Determination Of H(r )mentioning

confidence: 78%

“…( "2 is the point at which the convective acceleration of the rotating #uid*the 2s in equations (2) and (3)*become &&small'' compared to the forced oscillation.) Boundary conditions (6) and (7) reduce to X "f (r) on z"0, r(1, "0 on z"0, r'1. (13,14) Application of the Hankel transform solution technique to equation (12) gives [14] "…”

Section: A Motivating Examplementioning

confidence: 98%

“…This kind of damping frequently occurs in hydrodynamic lubrication theory when analyzing disks with small transverse clearances such as #oppy disks [7}9]. Hansen et al [5] and Kim et al [6] argue that this form of damping can be found in disks rotating in an unbounded #uid and provide an experimental measurement technique for predicting aeroelastic #utter based on this idea. However, they do not provide any theoretical model for predicting #utter.…”

Section: Introductionmentioning

confidence: 96%

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Aeroelastic Flutter of Circular Rotating Disks: A Simple Predictive Model

Kim

Renshaw

2002

Journal of Sound and Vibration

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Section: Determination Of H(r )mentioning

confidence: 78%

Section: A Motivating Examplementioning

confidence: 98%

Section: Introductionmentioning

confidence: 96%

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Aeroelastic Flutter of Circular Rotating Disks: A Simple Predictive Model

Kim

Renshaw

2002

Journal of Sound and Vibration

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“…The higher rotation speed causes increased airflow turbulence within the HDD and promotes structural vibration of the interior HDD components [3]. The vibration of the HDD arm and Head Gimbal Assembly (HGA) reduces the positioning accuracy of the magnetic head and results in track misregistration (TMR) and HDD errors [1]. These cause what is commonly known as a 'HDD *Address correspondence to this author at the School of Mechanical & Aerospace Engineering, Nanyang Technological University, 50 Nanyang Avenue, 639798, Singapore; Tel: 65-67904455; Fax: 65-67911859; E-mail: mykng@ntu.edu.sg crash', where the HDD malfunctions and stops working, which often leads to data loss.…”

Section: Introductionmentioning

confidence: 99%

“…Engineers have been making efforts to research on ways to increase the capacity of HDDs while not compromising their functionality and operation. The recording density of hard disk has been noted to increase 60% yearly and is projected to reach 1Tb/in 2 by 2012, while future hard drives are expected to rotate at speeds up to 20,000+rpm [1,2].…”

Section: Introductionmentioning

confidence: 99%

Structure Optimization Study of Hard Disk Drives to Reduce Flow- Induced Vibration

Ng¹

2011

TONUMJ

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Abstract:In this paper, the effects of two flow-induced vibration (FIV) mitigation components on hard disk drive (HDD) airflow, vortex splitters and flow diverters, were verified. The edges of the components were also modified by filleting and the resulting effect on airflow determined. A perspective review on HDDs and their operation, and the mechanism and mitigation of FIV was discussed. Three suitable turbulent models from the commercial fluid flow solver FLUENT were briefly compared. A preliminary study was then carried out on a simplified HDD model to determine the mesh fineness required in HDD turbulent flow simulation in order to obtain accurate results. Another study was done to compare between the RNG k-and LES turbulent models in FLUENT. A full 3.5 inch commercial HDD model was used and results indicated that the LES model was suitable for turbulent flow modelling of a HDD. Lastly, flow simulation of three HDD models with different FIV mitigating features was carried out. Results showed that flow diverters are effective in reducing airflow turbulence in HDD for Re of 12.5x10 4 . The modification and filleting of component edges to make them more aerodynamic streamlining was shown to be less effective but further studies should be done to conclude on the effectiveness of filleting. An optimized HDD structure which includes both vortex splitters and flow diverters, with the filleting of component edges recommended but not mandatory was proposed.

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Spectral analysis of coupled Euler‐Bernoulli and Timoshenko beam model

2004

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The present paper is devoted to the asymptotic and spectral analysis of a system of coupled Euler‐Bernoulli and Timoshenko beams. The model is governed by a system of two coupled differential equations and a two parameter family of boundary conditions modelling the action of the self‐straining actuators. The above equations of motion form a coupled linear hyperbolic system, which is equivalent to a single operator evolution equation in the energy space. That equation defines a semigroup of bounded operators. This is a dynamics generator of the semigroup which is our main object of interest in the present paper. We prove that for each set of boundary parameters, the dynamics generator has a compact inverse and this inverse operator belongs to class \documentclass{article}\pagestyle{empty}\usepackage{amsfonts}\begin{document}$\mathfrak{S}_p$\end{document} of compact operators with p > 1. We also show that if both boundary parameters are not purely imaginary numbers, then the dynamics generator is a nonselfadjoint operator in the energy space. However, its inverse operator is a finite‐rank perturbation of a selfadjoint operator. The latter fact is crucial for the proof of the fact that the root vectors of the dynamics generator form a complete and minimal set in the energy space. We will use the spectral results in our forthcoming papers to prove that the dynamics generator of the system is a Riesz spectral operator in the sense of Dunford and to use the latter fact for the solution of several boundary and distributed controllability problems via the spectral decomposition method.

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Prediction of Aeroelastic Flutter in a Hard Disk Drive

Cited by 40 publications

References 12 publications

Aeroelastic Flutter of Circular Rotating Disks: A Simple Predictive Model

Aeroelastic Flutter of Circular Rotating Disks: A Simple Predictive Model

Structure Optimization Study of Hard Disk Drives to Reduce Flow- Induced Vibration

Spectral analysis of coupled Euler‐Bernoulli and Timoshenko beam model

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