Computer modeling and simulation of ultra high density perpendicular recording processes

... the performance of a recording system and study the optimal write head and media designs for ultra high density and ultra high data rate magnetic recording using micromagnetic simulation National ... and grain boundary when conducting computer modeling and simulation for ultra- high density perpendicular recording processes It is expected that micromagnetic simulation based on finite element ... years since the father of modern perpendicular recording – Professor Shun-ichi Iwasaki verified distinct density advantages in perpendicular recording, [26] and the perpendicular recording technology...

Modeling and Simulation of Microbial Depolymerization Processes of Xenobiotic Polymers

... 12 Modeling and Simulation of Microbial Depolymerization Processes of Xenobiotic Polymers 12.4.2 Analysis of Enzymatic PLA Depolymerization The experimental and analytical study of endogenous depolymerization ... HPLC proﬁles of PEG before and after the cultivation of the microbial consortium E-1 [11, 12] 289 290 12 Modeling and Simulation of Microbial Depolymerization Processes of Xenobiotic Polymers Solution ... 12 Modeling and Simulation of Microbial Depolymerization Processes of Xenobiotic Polymers 12 13 14 15 16 17 of xenobiotic polymers with experimental data introduced into analysis Proceedings of...

Case Study in Financial Modeling and Simulation of a Forestry Investment potx

... watering  Maintenance:- weed control, fertilizing, pruning and thinning, fire and pest protection  Inflows:wood; commercial thinning, final harvest non-wood; flora gathering, recreation, land ... Evaluation Criteria The Land Expectation Value(LEV) model is applied in preference to the NPV model Key Parameters in Forestry Models Establishment:- land, land preparation, plant stock, planting, ... usage and fashion changes  Sovereign risk: regulatory changes, taxation changes, uncertain harvest rights Predicting Cash Flows The key growth indicator is the Mean Annual Increment 20 Years of...

Báo cáo hóa học: " Selective area epitaxy of ultra-high density InGaN quantum dots by diblock copolymer lithography" doc

... summary, the selective area growths of InGaN QDs on dielectric patterns defined by the self-assembled diblock copolymer were carried out by MOCVD The use of selective area approach resulted in ultra-high ... doi:10.1186/1556-276X-6-342 Cite this article as: Liu et al.: Selective area epitaxy of ultra-high density InGaN quantum dots by diblock copolymer lithography Nanoscale Research Letters 2011 6:342 ... Nanopatterning and SAE of InGaN QDs The fabrication process consists of nano-template preparation by diblock copolymer lithography and SAE by MOCVD Figure 1a-f shows the schematics of the fabrication...

Báo cáo hóa học: " Research Article A Framework for System-Level Modeling and Simulation of Embedded Systems Architectures" ppt

... usage of set and script elements ...

Báo cáo hóa học: "Multiscale modeling and simulation of nanotube-based torsional oscillators" docx

... f2 J1 l1 where f1 and f2 are the frequencies, J1 and J2 the angular moments of inertia of the metal paddles, and l1 and l2 the length of nanotubes in torsional oscillators and 2, respectively ... and temperature on mechanisms of nanotube-based torsional oscillators will also be considered Multiscale modeling In a nanotube-based torsional oscillator, a part of the nanotube is embedded in ... where k is the torsional stiffness of the embedded linear torsional spring and J is the angular moment of inertia of the paddle Indeed, Eq can be derived from Eq since nanotubes’ torsional stiffness...

An Introduction to Modeling and Simulation of Particulate Flows Part 2 pot

... Szabo and Babúska [185], and Zienkiewicz and Taylor [20 7] For work speciﬁcally focusing on the continuum mechanics of particles, see Zohdi and Wriggers [21 6] For a detailed numerical analysis of ... and = (1 .25 ) ∂x1 ∂x2 ∂x3 Forces acting on a particle (1) that are always directed toward or away from another point and (2) whose magnitude depends only on the distance between the particle and ... and Pires [154], Martins and Oden [147], Kikuchi and Oden [ 123 ], Klarbring [ 125 ], Tuzun and Walton [196], or Cho and Barber [ 42] Remark One can determine the coefﬁcient of friction that maximizes...

An Introduction to Modeling and Simulation of Particulate Flows Part 3 pdf

... of Farhat and coworkers (Piperno et al [1 63] , Farhat et al [65], Lesoinne and Farhat [ 130 ], Farhat and Lesoinne [66], Piperno and Farhat [164], and Farhat et al [67]) Remark It is important to ... relative motion Top to bottom and left to right, for eo = 0.5, µs = 0.2, µd = 0.1: (1) no near-ﬁeld interaction, (2) α = 0.1 and α = 0.05, (3) α = 0.25 and α = 0.125, and (4) α = 0.5 and α = 0.25 ... Schreﬂer [1 73] , Lewis et al [ 133 ], Doltsinis [52], [ 53] , Piperno [162], Lewis and Schreﬂer [ 132 ], Armero and Simo [7]–[9], Armero [10], Le Tallec and Mouro [ 131 ], Zohdi [208], [209], and the extensive...

An Introduction to Modeling and Simulation of Particulate Flows Part 4 pot

... 16 32 64 128 mm α1 45 147 0 .44 12 849 7 .49 111 642 .28 3 943 44. 61 7670 84. 35 mm α2 270188.87 279918.51 5 642 92.53 625999.39 2 643 80.23 α mt 7355 34. 64 778117.81 872627 .48 9107 34. 12 5 749 09.53 α mo 141 859.99 ... Extensions to “swarm-like” systems 0 2 4 10 Z Z X 10 12 Y 14 X 12 Y 16 14 16 0 2 4 6 10 Z Z X 10 12 12 Y 14 X Y 16 14 16 0 2 4 10 X Z Z 0 10 12 Y 14 16 X 12 Y 14 16 Figure 6 .4 Top to bottom and left to ... can become a primary concern 0 2 4 10 Z Z X 10 12 Y 12 14 X Y 16 14 16 0 2 4 10 Z Z X 10 12 Y 14 X 12 Y 16 14 16 0 2 4 10 X Z Z 0 10 12 Y 14 16 X 12 Y 14 16 Figure 6.6 Top to bottom and left to...

An Introduction to Modeling and Simulation of Particulate Flows Part 5 potx

... TOTAL KINETIC ENERGY TOTAL KINETIC ENERGY 0. 65 ENERGY (N-m) 0.7 0. 65 ENERGY (N-m) 0.7 0.6 0 .55 0.6 0 .55 0 .5 0 .5 0. 45 0. 45 0.4 0.4 0 .5 1 .5 2 .5 3 .5 4 .5 0 .5 1 .5 TIME 2 .5 3 .5 4 .5 TIME 0. 75 0. 75 TOTAL ... ENERGY TOTAL KINETIC ENERGY 0.7 0. 65 0. 65 ENERGY (N-m) 0.7 ENERGY (N-m) 05 book 2007 /5/ 15 page 71 ✐ 0.6 0 .55 0.6 0 .55 0 .5 0 .5 0. 45 0. 45 0.4 0.4 0 .5 1 .5 2 .5 TIME 3 .5 4 .5 0 .5 1 .5 2 .5 3 .5 4 .5 TIME ... 0 .5 1 .5 2 .5 3 .5 4 .5 0 .5 1 .5 TIME 2 .5 3 .5 4 .5 TIME 330 400 TEMPERATURE TEMPERATURE 390 3 25 380 370 TEMPERATURE TEMPERATURE 320 3 15 360 350 340 310 330 320 3 05 310 300 300 0 .5 1 .5 2 .5 3 .5 4 .5 0.5...

An Introduction to Modeling and Simulation of Particulate Flows Part 6 pps

... w1 + w + w + w w1 TOLr + w2 TOLθ + w3 TOLrf + w4 TOLθf ; w1 + w + w + w   TOLtot = (c) K  = def TOLtot Etot,0 Etot,K Etot,0 pKd pK  ; (5) IF TOLERANCE MET (Etot,K ≤ 1) AND K < Kd , THEN ... Advanced particulate ﬂow models 4e+08 TOTAL X NORMAL FORCE TOTAL Y NORMAL FORCE TOTAL Z NORMAL FORCE TOTAL X TANGENTIAL FORCE TOTAL Y TANGENTIAL FORCE TOTAL Z TANGENTIAL FORCE 3e+08 2e+08 TOTAL ... = min( t t= lim K t; , t) AND GO TO (0); (6) IF TOLERANCE NOT MET (Etot,K > TOL) AND K = Kd , THEN (a) CONSTRUCT NEW TIME STEP: t= K t; (b) RESTART AT TIME = t AND GO TO (0) Algorithm 8.1 ✐ ✐...

An Introduction to Modeling and Simulation of Particulate Flows Part 7 docx

... the extensive works of Elghobashi and coworkers dealing with particle-laden and bubble-laden ﬂuids (Ferrante and Elghobashi [68], Ahmed and Elghobashi [2], [3], and Druzhinin and Elghobashi [60]) ... modeling and simulations It was assumed that the particles were small enough that the effects of their rotation with respect to their mass centers was unimportant and that any “spin” of the particles ... procedure and to investigate aggregate ray dynamics corresponding to the ﬂow of electromagnetic energy and the conversion of the absorbed energy into heat and infrared radiation through disordered particulate...

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