logging in or signing up INTRODUCTION TO NANOTECHNOLOGY ankush85 Download Post to : URL : Related Presentations : Share Add to Flag Embed Email Send to Blogs and Networks Add to Channel Uploaded from authorPOINT lite Insert YouTube videos in PowerPont slides with aS Desktop Copy embed code: (To copy code, click on the text box) Embed: URL: Thumbnail: WordPress Embed Customize Embed The presentation is successfully added In Your Favorites. Views: 7700 Category: Science & Tech.. License: All Rights Reserved Like it (12) Dislike it (0) Added: November 20, 2009 This Presentation is Public Favorites: 6 Presentation Description No description available. Comments Posting comment... By: sam.azar (8 month(s) ago) its very useful for me, please allow me to download this ppt thank u if its possible send me this ppt to following mail id sam.azar@yahoo.co.in Saving..... Post Reply Close Saving..... 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See all Premium member Presentation Transcript INTRODUCTION TO NANOTECHNOLOGY : INTRODUCTION TO NANOTECHNOLOGY An Overview of Fluid Mechanics for MEMS -Reni Raju MEMS (Applications) : MEMS (Applications) Accelerometers for airbags Micro heat exchangers Sensors Actuators Micropumps NEMS (Application) : NEMS (Application) Nanostructured Catalysts Drug Delivery systems Molecular Assembler/Replicators Sensors Magnetic Storage Applications Reinforced Polymers Nanofluids Fluid Mechanics of MEMS : Fluid Mechanics of MEMS Devices having a characteristic length of less than 1 mm but more than 1 micron. 10-16 10-14 10-12 10-10 10-8 10-6 10-4 10-2 100 102 Dia. Of Proton H-Atom Diameter Human Hair Man NEMS MEMS FLUID MODELLING : FLUID MODELLING Conventional Navier Stokes with no-slip boundary conditions cannot be used. Pressure Gradient is non-constant along a microduct and flowrate greater than predicted. Surface to volume ratio is high of the order of 106 m-1 for a characteristic length of 1 micron. Other factors like thermal creep, rarefaction, viscous dissipation, compressibility etc. For Gases : For Gases Fluid Modeling Molecular Modeling Continuum Models Deterministic Statistical Euler Burnett Navier Stokes MD Liouville DSMC Boltzmann Slide 7: Either as a collection of molecules or as a continuum. Mean Free path, Characteristic Length, Knudsen Number, Slide 8: Local value of Knudsen Number determines the degree of rarefaction and the degree of validity of the continuum model. Kn=0.0001 0.001 0.01 0.1 1 10 100 Continuum Flow (Ordinary Density Levels) Slip-Flow Regime (Slightly Rarefied) Transition Regime (Moderately Rarefied) Free-Molecule Flow (Highly rarefied) CONTINUUM MODEL : CONTINUUM MODEL Local Properties such as Density and Velocity are averages over elements large compared with the microscopic structure of the fluid but small enough to permit the use of differential calculus. Conservation of Mass: Conservation of Momentum: Slide 10: Conversation of Energy: Closure: Slide 11: Euler’s Equation: Fluid is invisicid and non-conducting, Compressibility : Compressibility DENSITY CHANGES DUE TO TEMPERATURE Strong wall Heating or cooling may cause density change. DENSITY CHANGES DUE TO PRESSURE Pressure changes due to viscous effects even for Ma<0.3. Continuity Equation: Slide 13: For Adiabatic Walls; Slide 14: For Isothermal Wall; Boundary Conditions : Boundary Conditions At the Fluid- Solid Interface No-slip and no-temperature jump is based on no discontinuities of velocity/temperature. Continuum applicable for Kn<0.001 Tangential Slip velocity at wall, For Real gases, Slide 16: Slip velocity & Temperature Jump, where MOLECULAR BASED MODELS : MOLECULAR BASED MODELS Goal is to determine the position , velocity and state of all particles at all times. DETERMINISTIC MODEL: Particle described in the form of two body potential energy and time evolution of the molecular positions by integrating Newton’s Law of motion. Shortcomings: Need to choose a proper and convenient potential for a fluid & solid combination. Vast computer resources. Slide 18: STATISTICAL MODEL: Based on probability of finding a molecule at a particular position and state. Six-dimensional phase space. Assumption, for dilute gases with binary collision with no degrees of freedom. Liouville equation, conservation of N-particle distribution function in 6N-dimensional space, Boltzmann equation for monatomic gases with binary collision, Slide 19: Non-linear collision integral, describes the net effect of populating and depopulating collisions on the distribution. LIQUID FLOWS : LIQUID FLOWS The Average distance between the molecules approaches the molecular diameter. Molecules are always in collision state. Difficult to predict. Non-Newtonian behaviour commences, Contradictory results in experimental data and modelling. MD seems to be the best option available. Based on MD, the degree of slip increases as the relative wall density increases or the strength of the wall-fluid coupling decreases. Slide 21: Slip length, SURFACE PHENOMENA : SURFACE PHENOMENA Surface to Volume ratio for 1 micron is 106 m-1. High Radiative and Convective Heat transfer. Increased importance to surface forces and waning importance of body forces. Significant cohesive intermolecular forces between surface, stiction independent of device mass. Adsorbed layer. Surface tension and nonlinear volumetric intermolecular forces. Fluid Mechanics for NEMS : Fluid Mechanics for NEMS Nanofluids - thermal conductivity fluids. Possibility of applying Continuum Model for low Knudsen number.(?) Model applicability to Dense and rare gas. Possible treatment of Liquids as dense gas at Nano scale.(?) Importance of Quantum Mechanics. Importance of Surface Phenomenon's. TASKS AHEAD : TASKS AHEAD Modeling using the Continuum model for the Slip Flow Regime Knudsen Numbers. Understanding the mechanics of Nano-scaled Domains. Arriving at a suitable modeling technique comparable with the experimental data (if available.) You do not have the permission to view this presentation. In order to view it, please contact the author of the presentation.
INTRODUCTION TO NANOTECHNOLOGY ankush85 Download Post to : URL : Related Presentations : Share Add to Flag Embed Email Send to Blogs and Networks Add to Channel Uploaded from authorPOINT lite Insert YouTube videos in PowerPont slides with aS Desktop Copy embed code: (To copy code, click on the text box) Embed: URL: Thumbnail: WordPress Embed Customize Embed The presentation is successfully added In Your Favorites. Views: 7700 Category: Science & Tech.. License: All Rights Reserved Like it (12) Dislike it (0) Added: November 20, 2009 This Presentation is Public Favorites: 6 Presentation Description No description available. Comments Posting comment... By: sam.azar (8 month(s) ago) its very useful for me, please allow me to download this ppt thank u if its possible send me this ppt to following mail id sam.azar@yahoo.co.in Saving..... Post Reply Close Saving..... Edit Comment Close By: sam.azar (8 month(s) ago) its very useful for me, please allow me to download this ppt thank u Saving..... Post Reply Close Saving..... Edit Comment Close By: Vinay_HN (8 month(s) ago) send this ppt to vinayhnn@gmail.com.. plz Saving..... Post Reply Close Saving..... Edit Comment Close By: wanishafat (13 month(s) ago) plz sent ths ppt to shftwn4@gmail.com Saving..... Post Reply Close Saving..... Edit Comment Close By: yogeshbatra (14 month(s) ago) nice ppt yaar...plz send this me at yogesh.batra18@gmail.com Saving..... Post Reply Close Saving..... Edit Comment Close loading.... See all Premium member Presentation Transcript INTRODUCTION TO NANOTECHNOLOGY : INTRODUCTION TO NANOTECHNOLOGY An Overview of Fluid Mechanics for MEMS -Reni Raju MEMS (Applications) : MEMS (Applications) Accelerometers for airbags Micro heat exchangers Sensors Actuators Micropumps NEMS (Application) : NEMS (Application) Nanostructured Catalysts Drug Delivery systems Molecular Assembler/Replicators Sensors Magnetic Storage Applications Reinforced Polymers Nanofluids Fluid Mechanics of MEMS : Fluid Mechanics of MEMS Devices having a characteristic length of less than 1 mm but more than 1 micron. 10-16 10-14 10-12 10-10 10-8 10-6 10-4 10-2 100 102 Dia. Of Proton H-Atom Diameter Human Hair Man NEMS MEMS FLUID MODELLING : FLUID MODELLING Conventional Navier Stokes with no-slip boundary conditions cannot be used. Pressure Gradient is non-constant along a microduct and flowrate greater than predicted. Surface to volume ratio is high of the order of 106 m-1 for a characteristic length of 1 micron. Other factors like thermal creep, rarefaction, viscous dissipation, compressibility etc. For Gases : For Gases Fluid Modeling Molecular Modeling Continuum Models Deterministic Statistical Euler Burnett Navier Stokes MD Liouville DSMC Boltzmann Slide 7: Either as a collection of molecules or as a continuum. Mean Free path, Characteristic Length, Knudsen Number, Slide 8: Local value of Knudsen Number determines the degree of rarefaction and the degree of validity of the continuum model. Kn=0.0001 0.001 0.01 0.1 1 10 100 Continuum Flow (Ordinary Density Levels) Slip-Flow Regime (Slightly Rarefied) Transition Regime (Moderately Rarefied) Free-Molecule Flow (Highly rarefied) CONTINUUM MODEL : CONTINUUM MODEL Local Properties such as Density and Velocity are averages over elements large compared with the microscopic structure of the fluid but small enough to permit the use of differential calculus. Conservation of Mass: Conservation of Momentum: Slide 10: Conversation of Energy: Closure: Slide 11: Euler’s Equation: Fluid is invisicid and non-conducting, Compressibility : Compressibility DENSITY CHANGES DUE TO TEMPERATURE Strong wall Heating or cooling may cause density change. DENSITY CHANGES DUE TO PRESSURE Pressure changes due to viscous effects even for Ma<0.3. Continuity Equation: Slide 13: For Adiabatic Walls; Slide 14: For Isothermal Wall; Boundary Conditions : Boundary Conditions At the Fluid- Solid Interface No-slip and no-temperature jump is based on no discontinuities of velocity/temperature. Continuum applicable for Kn<0.001 Tangential Slip velocity at wall, For Real gases, Slide 16: Slip velocity & Temperature Jump, where MOLECULAR BASED MODELS : MOLECULAR BASED MODELS Goal is to determine the position , velocity and state of all particles at all times. DETERMINISTIC MODEL: Particle described in the form of two body potential energy and time evolution of the molecular positions by integrating Newton’s Law of motion. Shortcomings: Need to choose a proper and convenient potential for a fluid & solid combination. Vast computer resources. Slide 18: STATISTICAL MODEL: Based on probability of finding a molecule at a particular position and state. Six-dimensional phase space. Assumption, for dilute gases with binary collision with no degrees of freedom. Liouville equation, conservation of N-particle distribution function in 6N-dimensional space, Boltzmann equation for monatomic gases with binary collision, Slide 19: Non-linear collision integral, describes the net effect of populating and depopulating collisions on the distribution. LIQUID FLOWS : LIQUID FLOWS The Average distance between the molecules approaches the molecular diameter. Molecules are always in collision state. Difficult to predict. Non-Newtonian behaviour commences, Contradictory results in experimental data and modelling. MD seems to be the best option available. Based on MD, the degree of slip increases as the relative wall density increases or the strength of the wall-fluid coupling decreases. Slide 21: Slip length, SURFACE PHENOMENA : SURFACE PHENOMENA Surface to Volume ratio for 1 micron is 106 m-1. High Radiative and Convective Heat transfer. Increased importance to surface forces and waning importance of body forces. Significant cohesive intermolecular forces between surface, stiction independent of device mass. Adsorbed layer. Surface tension and nonlinear volumetric intermolecular forces. Fluid Mechanics for NEMS : Fluid Mechanics for NEMS Nanofluids - thermal conductivity fluids. Possibility of applying Continuum Model for low Knudsen number.(?) Model applicability to Dense and rare gas. Possible treatment of Liquids as dense gas at Nano scale.(?) Importance of Quantum Mechanics. Importance of Surface Phenomenon's. TASKS AHEAD : TASKS AHEAD Modeling using the Continuum model for the Slip Flow Regime Knudsen Numbers. Understanding the mechanics of Nano-scaled Domains. Arriving at a suitable modeling technique comparable with the experimental data (if available.)