Journal articles: 'Hard disk drive'

1

Hughes, G. F. "Wise drives [hard disk drive]." IEEE Spectrum 39, no. 8 (August 2002): 37–41. http://dx.doi.org/10.1109/mspec.2002.1021942.

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2

Reid, Harold T. "Hard disk drive multimedia." Electronic Library 11, no. 2 (February 1993): 139–43. http://dx.doi.org/10.1108/eb045224.

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3

Wood, Roger. "Future hard disk drive systems." Journal of Magnetism and Magnetic Materials 321, no. 6 (March 2009): 555–61. http://dx.doi.org/10.1016/j.jmmm.2008.07.027.

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4

Zaier, Riadh, and Jamil Abdo. "Hard Disk Drive Manufacturing Optimization." Materials and Manufacturing Processes 27, no. 7 (July 2012): 733–37. http://dx.doi.org/10.1080/10426914.2011.648703.

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Hirunyawanakul, Anusara, Nittaya Kerdprasop, and Kittisak Kerdprasop. "Efficient Machine Learning Methods for Hard Disk Drive Yield Prediction Improvement." International Journal of Machine Learning and Computing 10, no. 2 (February 2020): 240–46. http://dx.doi.org/10.18178/ijmlc.2020.10.2.926.

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6

Sonoda, Koji. "Flying Instability due to Organic Compounds in Hard Disk Drive." Advances in Tribology 2012 (2012): 1–6. http://dx.doi.org/10.1155/2012/170189.

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The influence of organic compounds (OCs) on the head-disk interface (HDI) was investigated in hard disk drives. The drives were tested at high temperature to investigate the influence of gaseous OC and to confirm if the gaseous OC forms droplets on head or disk. In the experiment, errors occurred by readback signal jump and we observed the droplets on the disk after full stroke seek operation of the drive. Our results indicate that the gaseous OC condensed on the slider and caused flying instability resulting in drive failure due to slider contact with a droplet of liquid OC. Furthermore, this study shows that kinetic viscosity of OC is an important factor to cause drive failure using alkane reagents.

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Meyer, D., P. Goglia, A. K. Menon, and Y. Li. "A Statistical Model for Interpreting Hard Disk Drive Stiction Measurements." Journal of Tribology 119, no. 1 (January 1, 1997): 43–48. http://dx.doi.org/10.1115/1.2832478.

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A statistical methodology is presented for predicting drive performance based on fundamental static friction (stiction) measurements. The technique allows the prediction of drive stiction and dynamic friction failures, based on component level spin-stand measurements. We discuss both the fundamental measurement of component stiction and the interpretation of the results as applied to an actual disk drive. The component measurements examine the effects of acceleration, filtering and sampling. It is shown that motor acceleration and the electronic configuration of the test stand affect the stiction measurement, but by proper electronic and mechanical designs this effect can be reduced to an insignificant quantity. The interpretation of component results considers incorporating the effect of multiple heads in a drive, and a statistical model is devised that accounts for both static and dynamic friction variation, along with motor/driver variations. One can predict the probability of a single drive failure or the failure rates of a population of drives, either new or after extensive field exposure. We show that a poorly characterized measurement compared to an arithmetic average of the available motor torque may predict drive failure rates in error by several orders of magnitude.

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SUGAWARA, Nobuhiro, Katsuya HIRATA, and Jiro FUNAKI. "FLOW VISUALIZATION OF HARD DISK DRIVE." Journal of the Visualization Society of Japan 24, Supplement2 (2004): 51–54. http://dx.doi.org/10.3154/jvs.24.supplement2_51.

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9

Matsuzaki, Mikio. "MR Head for Hard Disk Drive." Journal of the Institute of Image Information and Television Engineers 51, no. 6 (1997): 777–85. http://dx.doi.org/10.3169/itej.51.777.

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10

HARA, TAKEYORI. "An Overview of Hard Disk Drive." Journal of the Institute of Electrical Engineers of Japan 123, no. 9 (2003): 606–9. http://dx.doi.org/10.1541/ieejjournal.123.606.

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11

Griffith, J. M., and S. N. Dahandeh. "Hard disk drive suspension interconnect modeling." IEEE Transactions on Magnetics 38, no. 4 (July 2002): 1821–24. http://dx.doi.org/10.1109/tmag.2002.1017777.

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12

AOYAGI, Akihiko. "Development of Helium Sealed Hard Disk Drive." Proceedings of Mechanical Engineering Congress, Japan 2017 (2017): F161004. http://dx.doi.org/10.1299/jsmemecj.2017.f161004.

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13

Mei, Youping, and Kim A. Stelson. "Lapping Control of Hard Disk Drive Heads." Journal of Dynamic Systems, Measurement, and Control 123, no. 3 (February 28, 2000): 439–48. http://dx.doi.org/10.1115/1.1386650.

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Bar lapping is a key process in fabricating computer hard disk drive heads. The purpose is to remove a small amount of material so that the transducer stripe height variation across the bar is minimized. In this article a method of simulating the material removal process is established. The Preston model is identified to be a reasonable constitutive relationship relating lapping rate to pressure and relative velocity. A pressure estimation method is established based on the modified beam on elastic foundation model (MBOEF) to incorporate the effect of surface shape. Simulation is conducted based on the proposed constitutive relationship and MBOEF. Results show good agreement with production observations. Hence the simulation model is used as a tool for identifying the structure of the lapping control model. The pressure dynamics of bar lapping is then identified. The process model is constructed based on the pressure dynamics and the Preston model. A controller is then designed using a trajectory following formulation. Simulation of the controller shows that it is robust to parameter uncertainties. This controller is implemented on a Seagate lapping system. Experiment results show that the proposed method is less sensitive than the existing method to the quality of the bar preparation processes prior to lapping. However, the gains should be appropriately adjusted for optimal performance. With good preparation processes and appropriate gains, performance of the proposed and existing methods are statistically comparable. Otherwise, the proposed method performs better. The proposed method is inferior to the existing method only when its gains are improperly adjusted.

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14

Fuchigami, S., H. Hata, and R. Sasaki. "MR/inductive head for hard disk drive." IEEE Transactions on Magnetics 27, no. 6 (November 1991): 4684–86. http://dx.doi.org/10.1109/20.278915.

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15

Grochowski, E. G., R. F. Hoyt, and J. S. Heath. "Magnetic hard disk drive form factor evolution." IEEE Transactions on Magnetics 29, no. 6 (November 1993): 4065–67. http://dx.doi.org/10.1109/20.281392.

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16

Huber, William D., Michael E. Roen, and Noureen Sajid. "Future Hard Disk Drive Front End Challenges." IEEE Transactions on Magnetics 50, no. 11 (November 2014): 1–4. http://dx.doi.org/10.1109/tmag.2014.2317481.

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17

Fisher, G. D., W. L. Abbott, J. L. Sonntag, and R. Nesin. "PRML detection boosts hard-disk drive capacity." IEEE Spectrum 33, no. 11 (November 1996): 70–76. http://dx.doi.org/10.1109/6.542278.

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18

Kuwajima, H., Y. Ueno, M. Umeda, T. Inaji, A. Ochi, and K. Matsuoka. "New type latch for hard disk drive." Microsystem Technologies 13, no. 8-10 (February 6, 2007): 1417–24. http://dx.doi.org/10.1007/s00542-007-0385-2.

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19

Kiely, J. D., and Y. T. Hsia. "Tribocharging of the magnetic hard disk drive head–disk interface." Journal of Applied Physics 91, no. 7 (April 2002): 4631–36. http://dx.doi.org/10.1063/1.1455129.

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20

Yonghyun Lee, Kyoung-Su Park, Hyung-Jun Lee, Ki-Hoon Kim, No-Cheol Park, and Young-Pil Park. "Improving Hard Disk Drive Unloading Performance With a Disk Bump." IEEE Transactions on Magnetics 45, no. 2 (February 2009): 810–15. http://dx.doi.org/10.1109/tmag.2008.2010639.

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21

Kirpekar, S., and D. B. Bogy. "Computing the aeroelastic disk vibrations in a hard disk drive." Journal of Fluids and Structures 24, no. 1 (January 2008): 75–95. http://dx.doi.org/10.1016/j.jfluidstructs.2007.07.005.

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22

Tan, Wee Choon, Teck Wei Lee, and Eng Aik Lim. "Simulation of the Airflow Characteristics inside Hard Disk Drive." Applied Mechanics and Materials 554 (June 2014): 691–95. http://dx.doi.org/10.4028/www.scientific.net/amm.554.691.

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The flow pattern of the hard disk drive is correlated with the spinning speed produced of the disk, while spinning speed is the factor affecting the performance of the drive. The aim of this study was to investigate the airflow inside the hard disk drive. The simulation model is constructed based on the currently available 2.5-inches disk drive in the market, with 5400 rpm disk rotation speed. ANSYS Fluent is applied to analyze the airflow characteristic. Good agreement in normalized velocity magnitude and vectors plot shows the flowing of the air surrounded the drive region. In conclusion, it is found out that the results have close agreement with each other, with a range of percentage differences and errors between 2% to 5%.

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23

SUGII, Taisuke, Yukinobu ABE, Hiroshi MUKAI, Masato IKEGAWA, and Masatoshi WATANABE. "DVM-10 NUMERICAL SIMULATION OF PARTICLE BEHAVIOR IN HARD DISK DRIVES(Drive Mechanisms III,Technical Program of Oral Presentations)." Proceedings of JSME-IIP/ASME-ISPS Joint Conference on Micromechatronics for Information and Precision Equipment : IIP/ISPS joint MIPE 2009 (2009): 231–32. http://dx.doi.org/10.1299/jsmemipe.2009.231.

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24

Mokal, Vaibhav Umesh. "Hard Disk Drive Failure Detection Using Hybrid Algorithm." International Journal for Research in Applied Science and Engineering Technology 9, no. 9 (September 30, 2021): 1233–44. http://dx.doi.org/10.22214/ijraset.2021.37976.

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Abstract: The data is the most valuable thing in this modern world of Information Technology. As we can see the day to day the data is increasing as each and every people using the World Wide Web. This all system generated data or may be the personal or informative data will get generated in a huge amount of size. That data will get stored at the data centers or on cloud. But those will get stored on the Hard Disk Drives in data centers. So in some situation if the HDD got crashed then we will have lost our data. This work proposes to develop the failure prediction of Hard disk drive. We have chosen the accuracy and review measurements, generally important to the issue, and tried a few learning strategies, Adaboost, Naive Bayes, Logistic Regression and Voting. Our investigation shows that while we can't accomplish close to 100% forecast precision utilizing ML with the present information we have accessible for HDDs, we can improve our expectation exactness over the standard methodology Keywords: Machine learning, Adaboost, Naive Bayes, Voting, Logistic Regression

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25

Nebenzahl, L., R. Nagarajan, J. Wong, L. Volpe, and G. Whitney. "Chemical Integration and Contamination Control In Hard Disk Drive Manufacturing." Journal of the IEST 41, no. 5 (September 14, 1998): 31–35. http://dx.doi.org/10.17764/jiet.41.5.b3m3376867pj0232.

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As we approach the turn of the century, the demand for storage is rapidly increasing, fueled by multimedia and its associated applications. Hard disk drive (HDD) manufacturers continue to respond by chasing the areal density curve to provide higher capacity and higher performance disk drives. The required technology changes are expected to aggravate performance and reliability problems, such as stiction, associated with organic contamination; thermal asperities, associated with particulate contamination; and corrosion, associated with ionic contamination. Anticipation and proactive resolution of chemical integration and contamination control problems are key to the successful development and manufacturing of advanced HDDs. In this paper, types and sources of contamination that can impact HDD performance are described; various contamination-related problems are reviewed; and a methodology by which successful chemical integration in the hard disk drive business can be accomplished is outlined.

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26

EGUCHI, Takehiko. "DVM-12 EMPIRICAL ANALYSIS ON FREQUENCY DEPENDENCY OF AIRFLOW EXCITATION FOR DISK FLUTTER OF HARD DISK DRIVE(Drive Mechanisms IV,Technical Program of Oral Presentations)." Proceedings of JSME-IIP/ASME-ISPS Joint Conference on Micromechatronics for Information and Precision Equipment : IIP/ISPS joint MIPE 2009 (2009): 235–36. http://dx.doi.org/10.1299/jsmemipe.2009.235.

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27

GU, BIN, DONGWEI SHU, BAOJUN SHI, and GUOXING LU. "SHOCK RESPONSE OF THE CLAMPED DISK IN SMALL FORM FACTOR HARD DISK DRIVE." International Journal of Modern Physics B 22, no. 09n11 (April 30, 2008): 1592–97. http://dx.doi.org/10.1142/s0217979208047122.

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As small form factor (one-inch and smaller) hard disk drives are widely used in portable consumer appliances and gadgets, their mechanical robustness is of greater concern. In the previous work, it is found that when the disk is more tightly clamped, it helps to decrease the shock response of the disk and then avoid the head slap. In this paper, the real boundary condition of the disk for a small form factor hard disk drive from Seagate is investigated numerically. The disk is clamped between the clamp and the hub. The shock response of the disk under a half-sine acceleration pulse is simulated by using the finite element method. In the finite element model, both contact between disk and clamp and contact between disk and hub are considered. According to the simulation results, how to decrease the shock response of the disk is suggested.

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28

Dumrongvanich, Acharaporn, and Angsumalin Senjuntichai. "Bit Error Rate Improvement of Hard Disk Drive." Advanced Materials Research 740 (August 2013): 670–75. http://dx.doi.org/10.4028/www.scientific.net/amr.740.670.

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The objective of this research is to improve the performance of the read-write head process in Hard disk drive manufacturing with respect to Bit Error Rate (BER). With the preliminary survey, the process capability index (Cpk) of BER was 0.72 which is less than the one side acceptable value at 1.25. To improve Cpk of BER, five phases of Six sigma approach are applied starting from define, measure, analyze, improvement and control phases. At 95% confidence, thermal protrusion, writing current amplitude, writing current overshoot, number of defects on media and writing head width are the significant factors for Bit Error Rate due to their p-value less than 0.05. Since the number of defects and writing head width are uncontrollable factors, the experiment are designed and performed based of general factorial design with three levels of each controllable factor. At 5% significance level, there are the interaction effects between the thermal protrusion and the writing current amplitude as well as the interaction affects between the writing current amplitude and the writing current overshoot. With the general linear model (GLM), the suggested values for the thermal protrusion, writing current amplitude and writing current overshoot are 35 DAC, 10 mA and 9 mA, respectively. Under the suggested condition, Cpk of BER is increased from 0.72 to 2.38 and the percentage of defective due to head related failure is reduced from 21.85% to 9.86%.

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29

Premchaisawatt, Shutchon, and Dr Wanida Kanarkard. "Development of Hard Disk Drive Tracking Yield System." Khon Kaen University Journal (Graduate Studies) 11, no. 1 (January 1, 2011): 51–58. http://dx.doi.org/10.5481/kkujgs.2011.11.1.6.

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30

Pongtrairat, Aunticha, and Angsumalin Senjuntichai. "Spiral Defect Reduction of Hard Disk Drive Media." Applied Mechanics and Materials 421 (September 2013): 93–98. http://dx.doi.org/10.4028/www.scientific.net/amm.421.93.

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The objective of this study is to reduce a number of defects in Hard Disk Drive (HDD) manufacturing due to spiral scratch on media by applying DMAIC steps of Six Sigma approach. The spiral scratch is firstly identified as the significant loss with 6.03% defective rate. Secondly, the paddle to disk space, top cover edge sharpness, pitch static attribute and number of load/unload cycle are found to be the key process input variables (KPIV). The experiment based on four KPIVs is then designed following Box Behnken design. With the results from the experiment, the response surface method is applied to determine the optimal setting for these four KPIVs with respect to the minimum percentage of the spiral scratch. Finally, the process with the optimal settings of the paddle to disk space at 3 mm, top cover edge sharpness at 0.002 inch, pitch static attitude at 0.01 inch and number of load/unload cycle at 10,000 times is implemented and monitored by the p control chart. After the improvement, the defective rate of the spiral scratch is decreased by 48.8% from 6.03% to 3.09%.

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31

Kumar, Sameer, and Thomas R. McCaffrey. "Engineering economics at a hard disk drive manufacturer." Technovation 23, no. 9 (September 2003): 749–55. http://dx.doi.org/10.1016/s0166-4972(02)00040-8.

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32

de Souza, R., and Heng Poh Khong. "Supply chain models in hard disk drive manufacturing." IEEE Transactions on Magnetics 35, no. 2 (March 1999): 950–55. http://dx.doi.org/10.1109/20.753814.

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33

Soeno, Y., S. Ichikawa, T. Tsuna, Y. Sato, and I. Sato. "Piezoelectric piggy-back microactuator for hard disk drive." IEEE Transactions on Magnetics 35, no. 2 (March 1999): 983–87. http://dx.doi.org/10.1109/20.753820.

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34

Hirano, T., Long-Sheng Fan, J. Q. Gao, and W. Y. Lee. "MEMS milliactuator for hard-disk-drive tracking servo." Journal of Microelectromechanical Systems 7, no. 2 (June 1998): 149–55. http://dx.doi.org/10.1109/84.679336.

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35

YAMAGUCHI, Takashi. "Ultraprecision Head-positioning Technology for Hard Disk Drive." Journal of the Society of Mechanical Engineers 105, no. 1006 (2002): 586–87. http://dx.doi.org/10.1299/jsmemag.105.1006_586.

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36

MURAOKA, Hiroaki. "Technology Progress of Large-Capacity Hard Disk Drive." Journal of the Society of Mechanical Engineers 115, no. 1120 (2012): 150–51. http://dx.doi.org/10.1299/jsmemag.115.1120_150.

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37

Lee, Ju-young, and Sang-jin Lee. "A Study on Hard Disk Drive ATA Passwords." Journal of the Korea Institute of Information Security and Cryptology 25, no. 5 (October 31, 2015): 1059–65. http://dx.doi.org/10.13089/jkiisc.2015.25.5.1059.

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38

Strom, B. D., SungChang Lee, G. W. Tyndall, and A. Khurshudov. "Hard Disk Drive Reliability Modeling and Failure Prediction." IEEE Transactions on Magnetics 43, no. 9 (September 2007): 3676–84. http://dx.doi.org/10.1109/tmag.2007.902969.

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39

Guo, G., Y. Wang, T. S. Low, and R. Chen. "Optimal control design for hard disk drive servosystems." IEE Proceedings - Control Theory and Applications 149, no. 3 (May 1, 2002): 237–42. http://dx.doi.org/10.1049/ip-cta:20020233.

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40

Tawinprai, Supitcha, Jarupol Suriyawanakul, and Kiatfa Tangchaichit. "Decreasing turbulent helium flow in hard disk drive." IOP Conference Series: Earth and Environmental Science 113 (February 2018): 012200. http://dx.doi.org/10.1088/1755-1315/113/1/012200.

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41

Matsuoka, K., S. Obata, H. Kita, K. Miyamori, H. Noda, and K. Tohma. "New type motor for tough hard disk drive." Microsystem Technologies 13, no. 8-10 (December 1, 2006): 1193–200. http://dx.doi.org/10.1007/s00542-006-0323-8.

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42

Kim, Woochul, Woo-Sung Kim, and Joseph Chang. "Optimal disk clamp design to minimize stress variation of disks in a hard disk drive." Journal of Mechanical Science and Technology 23, no. 10 (October 2009): 2645–51. http://dx.doi.org/10.1007/s12206-009-0717-5.

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43

Oboe, Roberto, Federico Marcassa, and Giuseppe Maiocchi. "Voltage driven hard disk drive with voice coil model-based control." Microsystem Technologies 11, no. 7 (June 23, 2005): 478–87. http://dx.doi.org/10.1007/s00542-005-0592-7.

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44

Zhang, Guoqing, Shengnan Shen, Hui Li, and Shijing Wu. "MoP-15 Simulation of HGA vibration characteristics inside the helium-filled hard disk drive." Proceedings of JSME-IIP/ASME-ISPS Joint Conference on Micromechatronics for Information and Precision Equipment : IIP/ISPS joint MIPE 2015 (2015): _MoP—15–1_—_MoP—15–3_. http://dx.doi.org/10.1299/jsmemipe.2015._mop-15-1_.

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45

Barbier, Charlotte, Joseph A. C. Humphrey, and Eric Maslen. "Experimental Study of the Flow in a Simulated Hard Disk Drive." Journal of Fluids Engineering 128, no. 5 (March 13, 2006): 1090–100. http://dx.doi.org/10.1115/1.2236135.

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Instantaneous circumferential and radial velocity components of the air flowing past a symmetrical pair of suspension/slider-units (SSUs) attached to an E-Block/arm were measured in a specially designed corotating disk apparatus simulating a hard disk drive (HDD) using the particle image velocimetry technique. The geometrical dimensions of the components in the apparatus test section were scaled up by a factor of two, approximately, relative to those of a nominal 312 inch HDD. Most of the measurements were obtained on the interdisk midplane for two angular orientations of the arm/SSUs: (a) One with the tip of the SSUs near the hub supporting the disks; (b) another with the tip of the SSUs near the rims of the disks. Data obtained for disk rotational speeds ranging from 250 to 3000rpm (corresponding to 1250 to 15,000rpm, approximately, in a 312 inch HDD) were post-processed to yield mean and rms values of the two velocity components and of the associated shear stress, the mean axial vorticity, and the turbulence intensity (based on the two velocity components). At the locations investigated near the arm/SSUs, and for disk rotational speeds larger than 1500rpm, the mean velocity components are found to be asymptotically independent of disk speed of rotation but their rms values appear to still be changing. At two locations 90 and 29deg, respectively, upstream of the arm/SSUs, the flow approaching this obstruction displays features that can be attributed to the three-dimensional wake generated by the obstruction. Also, between these two locations and depending on the angular orientation of the arm/SSUs, the effect of the obstruction is to induce a three-dimensional region of flow reversal adjacent to the hub. Notwithstanding, the characteristics of the flow immediately upstream and downstream of the arm/SSUs appear to be determined by local flow-structure interactions. Aside from their intrinsic fundamental value, the data serve to guide and test the development of turbulence models and numerical calculation procedures for predicting this complex class of confined rotating flows, and to inform the improved design of HDDs.

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46

Fatima, Tahreem, and Muhammad Iqbal. "Raid Storage Dynamic Tendency of its Levels & Types: A Survey Study." International Journal of Scientific & Engineering Research 12, no. 2 (February 25, 2021): 620–24. http://dx.doi.org/10.14299/ijser.2021.02.03.

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Raid storage is a data storage visualization technology for storing more data than common hard drives; for data redundancy, performance enhancement, or both, it integrates several physical disk drive components into one or more logical drives. In comparison to earlier idea of reliable mainframe disk drives, this was called "Single Large Expensive Disk" (SLED).

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47

Altshuler, Kenneth J., Joshua C. Harrison, and Evelyn Ackerman. "The Physical Effects of Intra-Drive Particulate Contamination on the Head-Disk Interface in Magnetic Hard Disk Drives." Journal of Tribology 121, no. 2 (April 1, 1999): 352–58. http://dx.doi.org/10.1115/1.2833945.

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The physical damage at the Head-Disk Interface (HDI), caused by common ceramic particles found in the manufacturing environments of the heads and disks in hard magnetic disk drives, is reported. The need for this study arises from industry wide reliability problems due to particulate induced damage at the HDL The intent of this study is to characterize the head/disk damage caused by 1 μm diamond, 1–2 pm Tie particles, 0.2–1 μm alumina particles, the alumina and TiC grains sintered to make Al-TiC (the slider body), and sputtered alumina. These particles were introduced to the HDI in over thirty disk drives. The drives were then made to perform magnetic recording and retrieval operations for known data sequences, with the resultant reading errors tabulated. After the functional testing, the drives were opened and resulting damage was examined with a number of surface characterization tools. This study confirms that the severity of problems with the read-back signal, caused by particle damage, has an inverse relationship with the magnetic track width. In addition, the harshness of physical damage to the HDI has a positive relationship with particle hardness. Finally, particle shape and size can be contributing factors in damaging the HDL.

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48

Ichihara, Junichi, Koichi Tezuka, and Akihiko Makita. "Focusing Actuator for Magneto-optical Disk Drives." Journal of Robotics and Mechatronics 5, no. 4 (August 20, 1993): 326–31. http://dx.doi.org/10.20965/jrm.1993.p0326.

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Magneto-optical disk drives have some disadvantages compared with hard disk drives such as low access speed and low data rate. A small-light optical head and high speed rotation of the drive would improve the performance , as well as achieving over write. This paper details the development of a small-light focusing actuator, which can be used in high speed rotation of disks and make optical heads small and thin. It discusses the actuator suspension which raises the frequencies of higher order mechanical resonance. It also includes a parallel leaf spring suspension with the visco-elastic damping layer. It experimentally evaluates the vibration characteristics. Results show that the frequencies of higher order mechanical resonance are above 50kHz. The actuator is driven by a novel moving coil motor which makes the moving part thin and stiff. This paper describes the design and performance of the motor.

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49

Young-Bae Chang, Dae-Kyong Park, No-Cheol Park, and Young-Pil Park. "Prediction of track misregistration due to disk flutter in hard disk drive." IEEE Transactions on Magnetics 38, no. 2 (March 2002): 1441–46. http://dx.doi.org/10.1109/20.996050.

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50

Hasegawa, T., Hongbing Du, H. Osawa, H. Nishimura, and T. Oe. "Dynamic analysis of a disk-spindle system in a hard disk drive." IEEE Transactions on Magnetics 39, no. 2 (March 2003): 784–89. http://dx.doi.org/10.1109/tmag.2003.808922.

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Journal articles on the topic 'Hard disk drive'

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