Nonsymmetric Groove Pattern Design for Precise Micro-Spindles

2006 ◽  
Vol 326-328 ◽  
pp. 1595-1598
Author(s):  
Dong Ho Oh ◽  
Nam Hoon Lee ◽  
Ja Choon Koo ◽  
Hyeon Ki Choi ◽  
Yeon Sun Choi
Keyword(s):  
Power Consumption ◽  
Mobile Applications ◽  
Fluid Dynamic ◽  
Design Solution ◽  
Pattern Design ◽  
Technology Sector ◽  
Fluid Dynamic Bearing ◽  
Limited Power ◽  
Small Form Factor ◽  
Novel Design

As the fluid dynamic bearing spindles are to be actively adopted to various small form factor mobile applications, mechanical specifications for the motors have been aggressively changed to pursue the fierce information technology sector market trend. One of the major technological challenges for the spindles to be successfully employed in the applications is the reduction of power consumption since the most of the mobile applications operate with a limited power source at relatively lower voltage. Recognizing implication of the power consumption that of course affects stiffness of the spindle, few of options for mechanical designers are available but either lowering rotational speed or adopting thinner lubricant. In the present work, a novel design solution for alleviating side effect of the lower stiffness spindle is introduced and verified.

MINIATURE FLUID DYNAMIC BEARING WITH IMPROVED LOAD CAPACITY

2015 ◽  
Vol 39 (3) ◽  
pp. 527-535 ◽  
Author(s):  
Chien-Sheng Liu ◽  
Min-Kai Lee ◽  
Ying-Chi Chuo
Keyword(s):  
Data Storage ◽  
Fluid Dynamic ◽  
Load Capacity ◽  
Spindle Motor ◽  
Fluid Dynamic Bearing ◽  
Factor Data ◽  
Small Form Factor ◽  
Form Factor Data ◽  
Novel Design ◽  
Herringbone Grooves

In this paper a novel design is proposed to improve the load capacity of fluid dynamic bearing (FDB) for miniature spindle motors and small-form-factor data storage applications. In contrast to conventional miniature FDB with two sets of herringbone grooves on its inner surface, the proposed miniature FDB comprises another one set of herringbone grooves on its outer surface. The proposed miniature FDB is verified numerically utilizing commercial software Advanced Rotating Machinery Dynamics (ARMD). The simulation results show that compared to the conventional miniature FDB, the proposed miniature FDB can obviously improve the load capacity of the bearing system. Overall, the results presented in this study show that the proposed miniature FDB provides another solution for miniature spindle motor applications.

scholarly journals Machine learning and a computational fluid dynamic approach to estimate phase composition of chemical vapor deposition boron carbide

2021 ◽  
Vol 10 (3) ◽  
pp. 537-550
Author(s):  
Qingfeng Zeng ◽  
Yong Gao ◽  
Kang Guan ◽  
Jiantao Liu ◽  
Zhiqiang Feng
Keyword(s):  
Phase Composition ◽  
Chemical Vapor Deposition ◽  
Boron Carbide ◽  
Computational Fluid Dynamic ◽  
Vapor Deposition ◽  
Fluid Dynamic ◽  
Chemical Vapor ◽  
Sensitivity Coefficient ◽  
Design Solution ◽  
Novel Approach

AbstractChemical vapor deposition is an important method for the preparation of boron carbide. Knowledge of the correlation between the phase composition of the deposit and the deposition conditions (temperature, inlet gas composition, total pressure, reactor configuration, and total flow rate) has not been completely determined. In this work, a novel approach to identify the kinetic mechanisms for the deposit composition is presented. Machine leaning (ML) and computational fluid dynamic (CFD) techniques are utilized to identify core factors that influence the deposit composition. It has been shown that ML, combined with CFD, can reduce the prediction error from about 25% to 7%, compared with the ML approach alone. The sensitivity coefficient study shows that BHCl2 and BCl3 produce the most boron atoms, while C2H4 and CH4 are the main sources of carbon atoms. The new approach can accurately predict the deposited boron–carbon ratio and provide a new design solution for other multi-element systems.

Fluid dynamic bearing for HD-DVD single-phase spindle motor

2003 ◽  
Author(s):  
Hung-Kuang Hsu ◽  
Chien-Chang Wang ◽  
Mei-Lin Lai ◽  
Yu-Hsiu Chang ◽  
Der-Ray Huang
Keyword(s):  
Single Phase ◽  
Fluid Dynamic ◽  
Spindle Motor ◽  
Fluid Dynamic Bearing

An Approach to Modeling and Estimating Power Consumption of Mobile Applications

2018 ◽  
Vol 24 (1) ◽  
pp. 124-133
Author(s):  
Hong Anh Le ◽  
Anh Tu Bui ◽  
Ninh-Thuan Truong
Keyword(s):  
Power Consumption ◽  
Mobile Applications

scholarly journals A Novel Architecture of Radix-3 Singlepath Delay Feedback (R3SDF) FFT Using MCSLA

2018 ◽  
Vol 10 (1) ◽  
pp. 37
Author(s):  
Periyarselvam K ◽  
Saravanakumar G ◽  
Anand M
Keyword(s):  
Power Consumption ◽  
Orthogonal Frequency Division Multiplexing ◽  
Digital Signal ◽  
Path Delay ◽  
Hardware Complexity ◽  
Large Power ◽  
Fft Processor ◽  
Novel Design ◽  
Multiplexing Systems ◽  
Single Path

Fast Fourier transform (FFT) is widely used in digital signal processing and telecommunications, particularly in orthogonal frequency division multiplexing systems, to overcome the problems associated with orthogonal subcarriers. A new algorithm of radix-3 FFT has been introduced in this work. The DFT of length N can be realized from three DFT sequences; each of length N/3.Radix-3 algorithm reduces the number of multiplications required for realizing DFT.A novel design of Radix-3pipelined Single path Delay Feedback (R3SDF) FFT using MCSLA has been proposed in this paper. First, the pipelined radix-3 SDF FFT method has been designed. It has less area and large power consumption and delay. In order to overcome these problems, modified carry select adder structure is used to perform the adder operation for reducing the power consumption and delay. Finally, the MCSLA is integrated into radix-3 SDF FFT processor. The hardware complexity and execution time for implementing radix-3 FFT algorithm can be reduced than other FFTs.

scholarly journals Survey of SLAM in Low-Resourced Hardware

2019 ◽  
Vol 3 (01) ◽  
pp. 1
Author(s):  
Ismail Ismail
Keyword(s):  
Power Supply ◽  
Current Work ◽  
Design Solution ◽  
Main Question ◽  
Computational Power ◽  
Low Resource ◽  
Survey Paper ◽  
Limited Power ◽  
Small Robot ◽  
Robot Platform

Many of researches in SLAM are targeting desktops or laptop computers. Mounted in a robot platform such as Pioneer, these high computational power hardware do all the processing in SLAM. Still others, SLAM algorithms exploit GPU power to provide deep details in map reconstruction. Yet, it is desirable to deploy SLAM in a small robot without advantages from high computational power hardware. Single board computer with limited power supply and low computational power is frequently the main board available in a small robot. Therefore, it is important to consider the design solution of SLAM that targets such a system. With this in mind, current work presents a survey paper of SLAM in low-resource hardware. The main question to be answered with this current work is "How researchers deal with hardware limitation when implementing SLAM?" Classification based on a method to tackle the problem is presented as the conclusion of this paper.

A miniature pump with a fluid dynamic bearing

2012 ◽  
Vol 55 (3) ◽  
pp. 795-801 ◽  
Author(s):  
XianWu Luo ◽  
Bin Ji ◽  
BaoTang Zhuang ◽  
Lei Zhu ◽  
Li Lu ◽  
...  
Keyword(s):  
Fluid Dynamic ◽  
Fluid Dynamic Bearing
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