Rocket Performance MARYLAND

Size: px
Start display at page:

Download "Rocket Performance MARYLAND"

Transcription

1 Rocket Perforance The rocket equation Mass ratio and perforance Structural and payload ass fractions Multistaging Optial V distribution between stages Trade-off ratios Parallel staging Modular staging 22 David. Akin - All rights reserved Rocket Perforance Principles of Space Systes Design

2 Derivation of the Rocket Equation Moentu at tie t: M v Moentu at tie t+ t: M ( )( v+ v) + ( v V e ) Soe algebraic anipulation gives: v Take to liits and integrate: V e final d initial V V final initial dv V e Rocket Perforance Principles of Space Systes Design

3 The Rocket Equation r Alternate fors final initial e Basic definitions/concepts Mass ratio V V e r V V final or R initial Nondiensional velocity change Velocity ratio e final ln Ve ln( r) initial V V e initial final Rocket Perforance Principles of Space Systes Design

4 Rocket Equation (First ook) Mass Ratio, (M final /M initial ).. Typical Range for aunch to ow Earth Orbit Velocity Ratio, ( V/Ve) Rocket Perforance Principles of Space Systes Design

5 Sources and Categories of Vehicle Mass Payload Propellants Inert Mass Structure Propulsion Avionics Mechaniss Theral Etc. Rocket Perforance Principles of Space Systes Design

6 Basic Vehicle Paraeters Basic ass suary + p+ i Inert ass fraction δ i Payload fraction λ Paraetric ass ratio i + + p i + + p i r λ + p i δ initial ass payload ass propellant ass inert ass Rocket Perforance Principles of Space Systes Design

7 Rocket Equation (including Inert Mass) Payload Fraction, (M payload /M initial )... Typical Range for aunch to ow Earth Orbit Velocity Ratio, ( V/Ve) Inert Mass Fraction δ Rocket Perforance Principles of Space Systes Design

8 The Rocket Equation for Multiple Stages Assue two stages V V V e, V 2 e, 2 Assue V e, V e,2 V e final, ln Ve, ln( r) initial, final, 2 ln Ve, 2ln( r2) initial, 2 V + V V ln( r) V ln( r ) V ln( rr ) 2 e e 2 e 2 Rocket Perforance Principles of Space Systes Design

9 Continued ook at Multistaging Converting to asses V+ V2 Veln( rr 2) Veln Keep in ind that final, ~ initial,2 final, initial, final, 2 initial, 2 final, 2 V+ V2 Veln( rr 2) Veln Ve ln( r ), r has no physical significance! initial Rocket Perforance Principles of Space Systes Design

10 Multistage Vehicle Paraeters Inert ass fraction n stages j δ ij, δ λ j l Payload fraction λ j l n stages i λ Payload ass/inert ass ratio i λ δ Rocket Perforance Principles of Space Systes Design

11 Effect of Staging Inert Mass Fraction δ.2 Payload Fraction, (M payload /M initial ) stage 2 stage 3 stage 4 stage Velocity Ratio, ( V/Ve) Rocket Perforance Principles of Space Systes Design

12 Effect of V Distribution. st Stage: OX/H2 2nd Stage: OX/H labda delta lad/del st Stage Delta-V (/sec) Rocket Perforance Principles of Space Systes Design

13 agrange Multipliers Given an objective function y f( x) subject to constraint function z g( x) Create a new objective function y f( x) + λ g( x) z Solve siultaneous equations y x y λ [ ] Rocket Perforance Principles of Space Systes Design

14 Optiu V Distribution Between Stages Maxiize payload fraction (2 stage case) λ λ λ ( r δ )( r δ ) subject to constraint function Vtotal V + V 2 Create a new objective function V V 2 λ Ve δ Ve2 ( e )( e δ ) + K V + V V 2 2 Very essy for partial derivatives! [ ] Total Rocket Perforance Principles of Space Systes Design

15 Optiu V Distribution (continued) Use substitute objective function ax( λ ) ax ln( λ ) [ ] Create a new constrained objective function ln( λ ) ln( r δ ) + ln( r δ ) 2 2 [ ] + K V + V ln( r) + V ln( r ) Total e e2 2 Take partials and set equal to zero ln( λ) r ln( λ) r 2 ln( λ ) K Rocket Perforance Principles of Space Systes Design

16 Optiu V Special Cases Generic partial of objective function ln( λ ) r Case : δ δ 2 V e V e2 Case 2: δ δ 2 V e V e2 More coplex cases have to be done nuerically K V ei + r δ r i i i r r V V 2 2 r r 2 δ δ 2 i Rocket Perforance Principles of Space Systes Design

17 Sensitivity to Inert Mass V for ultistaged rocket n stages n Vtot Vk V ek, ln k k ok, fk, Vtot d Vtot d + ij n ok, pk, ik, p, j i, j j k+ n fk, ik, pj, ij, j k ij, ( ), ( ) Rocket Perforance Principles of Space Systes Design

18 Trade-off Ratio: Payload< >Inert Mass ik, V Total k j N l V V e, j e, l oj o, l f,, f, j l Rocket Perforance Principles of Space Systes Design

19 Rocket Perforance Principles of Space Systes Design Trade-off Ratio : Payload< >Propellant V V pk V e j oj j k e o f N Total,,,,,, l l l l

20 Trade-off Ratio: Payload< >Exhaust Velocity V ek, V Total N l V k j e, l ok, ln ok, o l f,, l Rocket Perforance Principles of Space Systes Design

21 Trade-off Ratio Exaples: Saturn IB Stage (Ve, M/sec) Stage Initial Mass (kg) Stage Final Mass (kg) ik, pk, V ek, (2568) 588, 8, (426) 44, 38, V Note that has units of ek, kg sec Rocket Perforance Principles of Space Systes Design

22 Parallel Staging Multiple dissiilar engines burning siultaneously Frequently a result of upgrades to operational systes General case requires brute force nuerical perforance analysis Rocket Perforance Principles of Space Systes Design

23 Parallel-Staging Rocket Equation Moentu at tie t: M v Moentu at tie t+ t: (subscript b boosters; c core vehicle) M ( b c)( v+ v) + ( v V ) + ( v V ) b eb, c ec, Assue thrust (and ass flow rates) constant Rocket Perforance Principles of Space Systes Design

24 Parallel-Staging Rocket Equation Rocket equation during booster burn final ib, + ic, + χ pc, + o, 2 V Ve ln Ve ln initial where V e V + V + V + V χ eb, b ec, c eb, pb, ec, pc, b c ib, pb, ic, pc, o, 2 ( ) ( χ) + pb, pc, χ and fraction of core propellant left when booster propellant is depleted Rocket Perforance Principles of Space Systes Design

25 Analyzing Parallel-Staging Perforance Parallel stages break down into pseudo-serial stages: Stage (boosters and core) ib, + ic, + χ pc, + o, 2 V Ve ln ib, pb, ic, pc, o, 2 Stage (core alone) ic+, o, 2 V V ec, ln ic+ pc+, χ, o, 2 Subsequent stages are as before Rocket Perforance Principles of Space Systes Design

26 Modular Staging Use identical odules to for ultiple stages Have to cluster odules on lower stages to ake up for nonideal V distributions Advantageous fro production and developent cost standpoints Rocket Perforance Principles of Space Systes Design

27 Module Analysis All odules have the sae inert ass and propellant ass Because δ varies with payload ass, not all odules have the sae δ! Introduce two new paraeters i ε σ i + i p p Conversions δ δ ε σ λ δ λ Rocket Perforance Principles of Space Systes Design

28 Rocket Equation for Modular Boosters Assuing n odules in stage, nε + n ( i)+ o, 2 o r n ( i + p)+ o, 2 n + If all 3 stages use sae odules, n j for stage j, where ρ r nε+ n2 + n3 + ρ n + n + n + ρ 2 3 ; od i + od o, 2,od o, 2 o,od p Rocket Perforance Principles of Space Systes Design

Rocket Performance MARYLAND U N I V E R S I T Y O F. Rocket Performance. ENAE Launch and Entry Vehicle Design

Rocket Performance MARYLAND U N I V E R S I T Y O F. Rocket Performance. ENAE Launch and Entry Vehicle Design The rocket equation Mass ratio and performance Structural and payload mass fractions Regression analysis Multistaging Optimal ΔV distribution between stages Trade-off ratios Parallel staging Modular staging

More information

Rocket Performance MARYLAND U N I V E R S I T Y O F. Rocket Performance. ENAE Launch and Entry Vehicle Design

Rocket Performance MARYLAND U N I V E R S I T Y O F. Rocket Performance. ENAE Launch and Entry Vehicle Design The rest of orbital mechanics The rocket equation Mass ratio and performance Structural and payload mass fractions Regression analysis Multistaging Optimal ΔV distribution between stages Trade-off ratios

More information

Rocket Performance MARYLAND U N I V E R S I T Y O F. Rocket Performance. ENAE 483/788D - Principles of Space Systems Design

Rocket Performance MARYLAND U N I V E R S I T Y O F. Rocket Performance. ENAE 483/788D - Principles of Space Systems Design Lecture #03 September 5, 2017 The rocket equation Mass ratio and performance Structural and payload mass fractions Regression analysis Multistaging Optimal ΔV distribution between stages Trade-off ratios

More information

Rocket Performance MARYLAND U N I V E R S I T Y O F. Rocket Performance. ENAE 483/788D - Principles of Space Systems Design

Rocket Performance MARYLAND U N I V E R S I T Y O F. Rocket Performance. ENAE 483/788D - Principles of Space Systems Design Lecture #06 September 17, 2015 The rocket equation Mass ratio and performance Structural and payload mass fractions Regression analysis Multistaging Optimal ΔV distribution between stages Trade-off ratios

More information

Rocket Performance MARYLAND U N I V E R S I T Y O F. Rocket Performance. ENAE 483/788D - Principles of Space Systems Design

Rocket Performance MARYLAND U N I V E R S I T Y O F. Rocket Performance. ENAE 483/788D - Principles of Space Systems Design Lecture #06 September 18, 2014 The rocket equation Mass ratio and performance Structural and payload mass fractions Regression analysis Multistaging Optimal ΔV distribution between stages Trade-off ratios

More information

Rocket Performance MARYLAND U N I V E R S I T Y O F. Ballistic Entry ENAE Launch and Entry Vehicle Design

Rocket Performance MARYLAND U N I V E R S I T Y O F. Ballistic Entry ENAE Launch and Entry Vehicle Design Rocket Performance Parallel staging Modular staging Standard atmospheres Orbital decay due to drag Straight-line (no gravity) entry based on atmospheric density 1 2014 David L. Akin - All rights reserved

More information

ANALYSIS OF HALL-EFFECT THRUSTERS AND ION ENGINES FOR EARTH-TO-MOON TRANSFER

ANALYSIS OF HALL-EFFECT THRUSTERS AND ION ENGINES FOR EARTH-TO-MOON TRANSFER IEPC 003-0034 ANALYSIS OF HALL-EFFECT THRUSTERS AND ION ENGINES FOR EARTH-TO-MOON TRANSFER A. Bober, M. Guelan Asher Space Research Institute, Technion-Israel Institute of Technology, 3000 Haifa, Israel

More information

Parametric Design MARYLAND. The Design Process Level I Design Example: Low-Cost Lunar Exploration U N I V E R S I T Y O F

Parametric Design MARYLAND. The Design Process Level I Design Example: Low-Cost Lunar Exploration U N I V E R S I T Y O F Parametric Design The Design Process Level I Design Example: Low-Cost Lunar Exploration U N I V E R S I T Y O F MARYLAND 2005 David L. Akin - All rights reserved http://spacecraft.ssl.umd.edu Parametric

More information

Mass Estimating Relationships MARYLAND. Review of iterative design approach Mass Estimating Relationships (MERs) Sample vehicle design analysis

Mass Estimating Relationships MARYLAND. Review of iterative design approach Mass Estimating Relationships (MERs) Sample vehicle design analysis Mass Estimating Relationships Review of iterative design approach Mass Estimating Relationships (MERs) Sample vehicle design analysis 2006 David L. Akin - All rights reserved http://spacecraft.ssl.umd.edu

More information

Multistage Rockets. Chapter Notation

Multistage Rockets. Chapter Notation Chapter 8 Multistage Rockets 8.1 Notation With current technology and fuels, and without greatly increasing the e ective I sp by air-breathing, a single stage rocket to Earth orbit is still not possible.

More information

A little more about costing Review of iterative design approach Mass Estimating Relationships (MERs) Sample vehicle design analysis

A little more about costing Review of iterative design approach Mass Estimating Relationships (MERs) Sample vehicle design analysis A little more about costing Review of iterative design approach (MERs) Sample vehicle design analysis 2004 David L. Akin - All rights reserved http://spacecraft.ssl. umd.edu Internal Rate of Return Discount

More information

Parametric Design MARYLAND. The Design Process Regression Analysis Level I Design Example: Project Diana U N I V E R S I T Y O F.

Parametric Design MARYLAND. The Design Process Regression Analysis Level I Design Example: Project Diana U N I V E R S I T Y O F. Parametric Design The Design Process Regression Analysis Level I Design Example: U N I V E R S I T Y O F MARYLAND 2003 David L. Akin - All rights reserved http://spacecraft.ssl.umd.edu Parametric Design

More information

The Design Process Level I Design Example: Low-Cost Lunar Exploration Amplification on Initial Concept Review

The Design Process Level I Design Example: Low-Cost Lunar Exploration Amplification on Initial Concept Review Parametric Design The Design Process Level I Design Example: Low-Cost Lunar Exploration Amplification on Initial Concept Review U N I V E R S I T Y O F MARYLAND 2008 David L. Akin - All rights reserved

More information

AiMT Advances in Military Technology

AiMT Advances in Military Technology AiT Advances in ilitary Technology Vol. 14, No. 1 (2019), pp. 47-57 ISSN 1802-2308, eissn 2533-4123 DOI 10.3849/ait.01247 odelling issile Flight Characteristics by Estiating ass and Ballistic Paraeters

More information

Physics 201, Lecture 15

Physics 201, Lecture 15 Physics 0, Lecture 5 Today s Topics q More on Linear Moentu And Collisions Elastic and Perfect Inelastic Collision (D) Two Diensional Elastic Collisions Exercise: Billiards Board Explosion q Multi-Particle

More information

Today s s topics are: Collisions and Momentum Conservation. Momentum Conservation

Today s s topics are: Collisions and Momentum Conservation. Momentum Conservation Today s s topics are: Collisions and P (&E) Conservation Ipulsive Force Energy Conservation How can we treat such an ipulsive force? Energy Conservation Ipulsive Force and Ipulse [Exaple] an ipulsive force

More information

Measuring orbital angular momentum superpositions of light by mode transformation

Measuring orbital angular momentum superpositions of light by mode transformation CHAPTER 7 Measuring orbital angular oentu superpositions of light by ode transforation In chapter 6 we reported on a ethod for easuring orbital angular oentu (OAM) states of light based on the transforation

More information

MARYLAND. The Design Process Regression Analysis Level I Design Example: UMd Exploration Initiative U N I V E R S I T Y O F.

MARYLAND. The Design Process Regression Analysis Level I Design Example: UMd Exploration Initiative U N I V E R S I T Y O F. Parametric Design The Design Process Regression Analysis Level I Design Example: UMd Exploration Initiative U N I V E R S I T Y O F MARYLAND 2004 David L. Akin - All rights reserved http://spacecraft.ssl.

More information

EE 434 Lecture 16. Small signal model Small signal applications in amplifier analysis and design

EE 434 Lecture 16. Small signal model Small signal applications in amplifier analysis and design EE 434 Lecture 16 Sall sinal odel Sall sinal applications in aplifier analysis and desin Quiz 13 The of an n-channel OS transistor that has a quiescent current of 5A was easured to be 10A/. If the lenth

More information

Modelling diabatic atmospheric boundary layer using a RANS-CFD code with a k-ε turbulence closure F. VENDEL

Modelling diabatic atmospheric boundary layer using a RANS-CFD code with a k-ε turbulence closure F. VENDEL Modelling diabatic atospheric boundary layer using a RANS-CFD code with a k-ε turbulence closure F. VENDEL Florian Vendel 1, Guillevic Laaison 1, Lionel Soulhac 1, Ludovic Donnat 2, Olivier Duclaux 2,

More information

MSEC MODELING OF DEGRADATION PROCESSES TO OBTAIN AN OPTIMAL SOLUTION FOR MAINTENANCE AND PERFORMANCE

MSEC MODELING OF DEGRADATION PROCESSES TO OBTAIN AN OPTIMAL SOLUTION FOR MAINTENANCE AND PERFORMANCE Proceeding of the ASME 9 International Manufacturing Science and Engineering Conference MSEC9 October 4-7, 9, West Lafayette, Indiana, USA MSEC9-8466 MODELING OF DEGRADATION PROCESSES TO OBTAIN AN OPTIMAL

More information

Support Vector Machines MIT Course Notes Cynthia Rudin

Support Vector Machines MIT Course Notes Cynthia Rudin Support Vector Machines MIT 5.097 Course Notes Cynthia Rudin Credit: Ng, Hastie, Tibshirani, Friedan Thanks: Şeyda Ertekin Let s start with soe intuition about argins. The argin of an exaple x i = distance

More information

Lectures 8 & 9: The Z-transform.

Lectures 8 & 9: The Z-transform. Lectures 8 & 9: The Z-transfor. 1. Definitions. The Z-transfor is defined as a function series (a series in which each ter is a function of one or ore variables: Z[] where is a C valued function f : N

More information

THERMAL ENDURANCE OF UNREINFORCED UNSATURATED POLYESTERS AND VINYL ESTER RESINS = (1) ln = COMPOSITES & POLYCON 2009

THERMAL ENDURANCE OF UNREINFORCED UNSATURATED POLYESTERS AND VINYL ESTER RESINS = (1) ln = COMPOSITES & POLYCON 2009 Aerican Coposites Manufacturers Association January 15-17, 29 Tapa, FL USA Abstract THERMAL ENDURANCE OF UNREINFORCED UNSATURATED POLYESTERS AND VINYL ESTER RESINS by Thore M. Klaveness, Reichhold AS In

More information

Propulsion Systems Design MARYLAND. Rocket engine basics Solid rocket motors Liquid rocket engines. Hybrid rocket engines Auxiliary propulsion systems

Propulsion Systems Design MARYLAND. Rocket engine basics Solid rocket motors Liquid rocket engines. Hybrid rocket engines Auxiliary propulsion systems Propulsion Systems Design Rocket engine basics Solid rocket motors Liquid rocket engines Monopropellants Bipropellants Propellant feed systems Hybrid rocket engines Auxiliary propulsion systems 2004 David

More information

TAP 222-4: Momentum questions

TAP 222-4: Momentum questions TAP -4: Moentu questions These questions change in difficulty and ask you to relate ipulse to change of oentu. 1. Thrust SSC is a supersonic car powered by jet engines giving a total thrust of 180 kn.

More information

Propulsion Systems Design MARYLAND. Rocket engine basics Survey of the technologies Propellant feed systems Propulsion systems design

Propulsion Systems Design MARYLAND. Rocket engine basics Survey of the technologies Propellant feed systems Propulsion systems design Propulsion Systems Design Rocket engine basics Survey of the technologies Propellant feed systems Propulsion systems design 2008 David L. Akin - All rights reserved http://spacecraft.ssl.umd.edu 1 Propulsion

More information

I. Understand get a conceptual grasp of the problem

I. Understand get a conceptual grasp of the problem MASSACHUSETTS INSTITUTE OF TECHNOLOGY Departent o Physics Physics 81T Fall Ter 4 Class Proble 1: Solution Proble 1 A car is driving at a constant but unknown velocity,, on a straightaway A otorcycle is

More information

Propulsion Systems Design MARYLAND. Rocket engine basics Survey of the technologies Propellant feed systems Propulsion systems design

Propulsion Systems Design MARYLAND. Rocket engine basics Survey of the technologies Propellant feed systems Propulsion systems design Design Rocket engine basics Survey of the technologies Propellant feed systems Propulsion systems design 2005 David L. Akin - All rights reserved http://spacecraft.ssl.umd.edu Overview of the Design Process

More information

3.8 Three Types of Convergence

3.8 Three Types of Convergence 3.8 Three Types of Convergence 3.8 Three Types of Convergence 93 Suppose that we are given a sequence functions {f k } k N on a set X and another function f on X. What does it ean for f k to converge to

More information

P235 Midterm Examination Prof. Cline

P235 Midterm Examination Prof. Cline P235 Mier Exaination Prof. Cline THIS IS A CLOSED BOOK EXAMINATION. Do all parts of all four questions. Show all steps to get full credit. 7:00-10.00p, 30 October 2009 1:(20pts) Consider a rocket fired

More information

Department of Electronic and Optical Engineering, Ordnance Engineering College, Shijiazhuang, , China

Department of Electronic and Optical Engineering, Ordnance Engineering College, Shijiazhuang, , China 6th International Conference on Machinery, Materials, Environent, Biotechnology and Coputer (MMEBC 06) Solving Multi-Sensor Multi-Target Assignent Proble Based on Copositive Cobat Efficiency and QPSO Algorith

More information

Order Recursion Introduction Order versus Time Updates Matrix Inversion by Partitioning Lemma Levinson Algorithm Interpretations Examples

Order Recursion Introduction Order versus Time Updates Matrix Inversion by Partitioning Lemma Levinson Algorithm Interpretations Examples Order Recursion Introduction Order versus Tie Updates Matrix Inversion by Partitioning Lea Levinson Algorith Interpretations Exaples Introduction Rc d There are any ways to solve the noral equations Solutions

More information

Rocket Science 102 : Energy Analysis, Available vs Required

Rocket Science 102 : Energy Analysis, Available vs Required Rocket Science 102 : Energy Analysis, Available vs Required ΔV Not in Taylor 1 Available Ignoring Aerodynamic Drag. The available Delta V for a Given rocket burn/propellant load is ( ) V = g I ln 1+ P

More information

An earlier article in this column considered the problem

An earlier article in this column considered the problem --- CALC CORNER Estiating nternal Air Cooling Teperature Reduction in a Closed Box Utilizing Theroelectrically Enhanced Heat Rejection Previously published in February, 2013 Bob Sions BM Retired The following

More information

Fast Montgomery-like Square Root Computation over GF(2 m ) for All Trinomials

Fast Montgomery-like Square Root Computation over GF(2 m ) for All Trinomials Fast Montgoery-like Square Root Coputation over GF( ) for All Trinoials Yin Li a, Yu Zhang a, a Departent of Coputer Science and Technology, Xinyang Noral University, Henan, P.R.China Abstract This letter

More information

Daniel López Gaxiola 1 Student View Jason M. Keith

Daniel López Gaxiola 1 Student View Jason M. Keith Suppleental Material for Transport Process and Separation Process Principles Chapter Principles of Moentu Transfer and Overall Balances In fuel cells, the fuel is usually in gas or liquid phase. Thus,

More information

Experimental Design For Model Discrimination And Precise Parameter Estimation In WDS Analysis

Experimental Design For Model Discrimination And Precise Parameter Estimation In WDS Analysis City University of New York (CUNY) CUNY Acadeic Works International Conference on Hydroinforatics 8-1-2014 Experiental Design For Model Discriination And Precise Paraeter Estiation In WDS Analysis Giovanna

More information

Chapter 7 Impulse and Momentum. So far we considered only constant force/s BUT There are many situations when the force on an object is not constant

Chapter 7 Impulse and Momentum. So far we considered only constant force/s BUT There are many situations when the force on an object is not constant Chapter 7 Ipulse and Moentu So far we considered only constant force/s BUT There are any situations when the force on an object is not constant Force varies with tie 7. The Ipulse-Moentu Theore DEFINITION

More information

Rocket Propulsion Basics Thrust

Rocket Propulsion Basics Thrust Rockets 101: A Quick Primer on Propulsion & Launch Vehicle Technologies Steve Heister, Professor School of Aeronautics and Astronautics Purdue University Presentation to AFSAB, 13 January, 2010 Rocket

More information

A note on the multiplication of sparse matrices

A note on the multiplication of sparse matrices Cent. Eur. J. Cop. Sci. 41) 2014 1-11 DOI: 10.2478/s13537-014-0201-x Central European Journal of Coputer Science A note on the ultiplication of sparse atrices Research Article Keivan Borna 12, Sohrab Aboozarkhani

More information

Chapter 8. Momentum, Impulse and Collisions. 10/22/14 Physics 218

Chapter 8. Momentum, Impulse and Collisions. 10/22/14 Physics 218 Chapter 8 Moentu, Ipulse and Collisions 0//4 Physics 8 Learning Goals n n n n n n The eaning of the oentu of a particle(syste) and how the ipulse of the net force acting on a particle causes the oentu

More information

Trajectories for Human Missions to Mars, Part 2: Low-Thrust Transfers

Trajectories for Human Missions to Mars, Part 2: Low-Thrust Transfers JOURNAL OF SPACECRAFT AND ROCKETS Vol. 43, No. 5, Septeber October 26 Trajectories for Huan Missions to Mars, Part 2: Low-Thrust Transfers Daon F. Landau and Jaes M. Longuski Purdue University, West Lafayette,

More information

Bloom Filters. filters: A survey, Internet Mathematics, vol. 1 no. 4, pp , 2004.

Bloom Filters. filters: A survey, Internet Mathematics, vol. 1 no. 4, pp , 2004. Bloo Filters References A. Broder and M. Mitzenacher, Network applications of Bloo filters: A survey, Internet Matheatics, vol. 1 no. 4, pp. 485-509, 2004. Li Fan, Pei Cao, Jussara Aleida, Andrei Broder,

More information

}, (n 0) be a finite irreducible, discrete time MC. Let S = {1, 2,, m} be its state space. Let P = [p ij. ] be the transition matrix of the MC.

}, (n 0) be a finite irreducible, discrete time MC. Let S = {1, 2,, m} be its state space. Let P = [p ij. ] be the transition matrix of the MC. Abstract Questions are posed regarding the influence that the colun sus of the transition probabilities of a stochastic atrix (with row sus all one) have on the stationary distribution, the ean first passage

More information

Probabilistic Machine Learning

Probabilistic Machine Learning Probabilistic Machine Learning by Prof. Seungchul Lee isystes Design Lab http://isystes.unist.ac.kr/ UNIST Table of Contents I.. Probabilistic Linear Regression I... Maxiu Likelihood Solution II... Maxiu-a-Posteriori

More information

16.512, Rocket Propulsion Prof. Manuel Martinez-Sanchez Lecture 30: Dynamics of Turbopump Systems: The Shuttle Engine

16.512, Rocket Propulsion Prof. Manuel Martinez-Sanchez Lecture 30: Dynamics of Turbopump Systems: The Shuttle Engine 6.5, Rocket Propulsion Prof. Manuel Martinez-Sanchez Lecture 30: Dynaics of Turbopup Systes: The Shuttle Engine Dynaics of the Space Shuttle Main Engine Oxidizer Pressurization Subsystes Selected Sub-Model

More information

Rocket Dynamics. Forces on the Rocket

Rocket Dynamics. Forces on the Rocket Rocket Dynamics Forces on the Rockets - Drag Rocket Stability Rocket Equation Specific Impulse Rocket otors F Thrust Forces on the Rocket Equation of otion: Need to minimize total mass to maximize acceleration

More information

We last left off by talking about how the area under a force vs. time curve is impulse.

We last left off by talking about how the area under a force vs. time curve is impulse. Lecture 11 Ipulse and Moentu We last left off by talking about how the area under a force vs. tie curve is ipulse. Recall that for our golf ball we had a strongly peaked force curve: F F avg t You have

More information

Lecture 6. Announcements. Conservation Laws: The Most Powerful Laws of Physics. Conservation Laws Why they are so powerful

Lecture 6. Announcements. Conservation Laws: The Most Powerful Laws of Physics. Conservation Laws Why they are so powerful Conseration Laws: The Most Powerful Laws of Physics Potential Energy gh Moentu p = + +. Energy E = PE + KE +. Kinetic Energy / Announceents Mon., Sept. : Second Law of Therodynaics Gie out Hoework 4 Wed.,

More information

Physics 215 Winter The Density Matrix

Physics 215 Winter The Density Matrix Physics 215 Winter 2018 The Density Matrix The quantu space of states is a Hilbert space H. Any state vector ψ H is a pure state. Since any linear cobination of eleents of H are also an eleent of H, it

More information

MARYLAND. Rocket engine basics Survey of the technologies Propellant feed systems Propulsion systems design U N I V E R S I T Y O F

MARYLAND. Rocket engine basics Survey of the technologies Propellant feed systems Propulsion systems design U N I V E R S I T Y O F Rocket engine basics Survey of the technologies Propellant feed systems Propulsion systems design 2004 David L. Akin - All rights reserved http://spacecraft.ssl. umd.edu Overview of the Design Process

More information

Name: Partner(s): Date: Angular Momentum

Name: Partner(s): Date: Angular Momentum Nae: Partner(s): Date: Angular Moentu 1. Purpose: In this lab, you will use the principle of conservation of angular oentu to easure the oent of inertia of various objects. Additionally, you develop a

More information

Applied Physics I (Phys 182)

Applied Physics I (Phys 182) Applied Physics I (Phys 182) Dr. Joseph J. Trout E-ail: joseph.trout@drexel.edu Cell: (610)348-6495 Office: Disque 902 1 Moentu Ipulse Conservation of Moentu Explosions Inelastic Collisions Elastic Collisions

More information

Momentum. Conservation of Linear Momentum. Slide 1 / 140 Slide 2 / 140. Slide 3 / 140. Slide 4 / 140. Slide 6 / 140. Slide 5 / 140.

Momentum. Conservation of Linear Momentum. Slide 1 / 140 Slide 2 / 140. Slide 3 / 140. Slide 4 / 140. Slide 6 / 140. Slide 5 / 140. Slide 1 / 140 Slide 2 / 140 Moentu www.njctl.org Slide 3 / 140 Slide 4 / 140 Table of Contents Click on the topic to go to that section Conservation of Linear Moentu Ipulse - Moentu Equation Collisions

More information

Appendix A Gravity Gradient Torque

Appendix A Gravity Gradient Torque Appendix A Gravity Gradient Torque We will now consider the gravity gradient torque on an earth satellite in a circular orbit. We assue that the earth is a perfect rigid sphere with a radially syetric

More information

2 Q 10. Likewise, in case of multiple particles, the corresponding density in 2 must be averaged over all

2 Q 10. Likewise, in case of multiple particles, the corresponding density in 2 must be averaged over all Lecture 6 Introduction to kinetic theory of plasa waves Introduction to kinetic theory So far we have been odeling plasa dynaics using fluid equations. The assuption has been that the pressure can be either

More information

INTELLECTUAL DATA ANALYSIS IN AIRCRAFT DESIGN

INTELLECTUAL DATA ANALYSIS IN AIRCRAFT DESIGN INTELLECTUAL DATA ANALYSIS IN AIRCRAFT DESIGN V.A. Koarov 1, S.A. Piyavskiy 2 1 Saara National Research University, Saara, Russia 2 Saara State Architectural University, Saara, Russia Abstract. This article

More information

Introduction to Robotics (CS223A) (Winter 2006/2007) Homework #5 solutions

Introduction to Robotics (CS223A) (Winter 2006/2007) Homework #5 solutions Introduction to Robotics (CS3A) Handout (Winter 6/7) Hoework #5 solutions. (a) Derive a forula that transfors an inertia tensor given in soe frae {C} into a new frae {A}. The frae {A} can differ fro frae

More information

Performance-Invariant Scaling of Square Solar Sails

Performance-Invariant Scaling of Square Solar Sails 4th International Syposiu on Solar Sailing Kyoto, Japan, January 17-20, 2017 Perforance-Invariant Scaling of Square Solar Sails Sergey Trofiov Keldysh Institute of Applied Matheatics Russian Acadey of

More information

Robotic Mobility Above the Surface

Robotic Mobility Above the Surface Free Space Relative Orbital Motion Airless Major Bodies (moons) 1 2016 David L. Akin - All rights reserved http://spacecraft.ssl.umd.edu Propulsive Motion in Free Space Basic motion governed by Newton

More information

Chapter 7 Impulse and Momentum. So far we considered only constant force/s BUT There are many situations when the force on an object is not constant

Chapter 7 Impulse and Momentum. So far we considered only constant force/s BUT There are many situations when the force on an object is not constant Chapter 7 Ipulse and Moentu So far we considered only constant force/s BUT There are any situations when the force on an object is not constant JUST IN TIME TEACHING E-ail or bring e your questions prior

More information

This model assumes that the probability of a gap has size i is proportional to 1/i. i.e., i log m e. j=1. E[gap size] = i P r(i) = N f t.

This model assumes that the probability of a gap has size i is proportional to 1/i. i.e., i log m e. j=1. E[gap size] = i P r(i) = N f t. CS 493: Algoriths for Massive Data Sets Feb 2, 2002 Local Models, Bloo Filter Scribe: Qin Lv Local Models In global odels, every inverted file entry is copressed with the sae odel. This work wells when

More information

Propulsion Systems Design

Propulsion Systems Design Propulsion Systems Design Rocket engine basics Survey of the technologies Propellant feed systems Propulsion systems design 1 2016 David L. Akin - All rights reserved http://spacecraft.ssl.umd.edu Liquid

More information

Supporting Information for Supression of Auger Processes in Confined Structures

Supporting Information for Supression of Auger Processes in Confined Structures Supporting Inforation for Supression of Auger Processes in Confined Structures George E. Cragg and Alexander. Efros Naval Research aboratory, Washington, DC 20375, USA 1 Solution of the Coupled, Two-band

More information

Donald Fussell. October 28, Computer Science Department The University of Texas at Austin. Point Masses and Force Fields.

Donald Fussell. October 28, Computer Science Department The University of Texas at Austin. Point Masses and Force Fields. s Vector Moving s and Coputer Science Departent The University of Texas at Austin October 28, 2014 s Vector Moving s Siple classical dynaics - point asses oved by forces Point asses can odel particles

More information

Chaotic Coupled Map Lattices

Chaotic Coupled Map Lattices Chaotic Coupled Map Lattices Author: Dustin Keys Advisors: Dr. Robert Indik, Dr. Kevin Lin 1 Introduction When a syste of chaotic aps is coupled in a way that allows the to share inforation about each

More information

P032 3D Seismic Diffraction Modeling in Multilayered Media in Terms of Surface Integrals

P032 3D Seismic Diffraction Modeling in Multilayered Media in Terms of Surface Integrals P032 3D Seisic Diffraction Modeling in Multilayered Media in Ters of Surface Integrals A.M. Aizenberg (Institute of Geophysics SB RAS, M. Ayzenberg* (Norwegian University of Science & Technology, H.B.

More information

Session : Electrodynamic Tethers

Session : Electrodynamic Tethers Session : Eectrodynaic Tethers Eectrodynaic tethers are ong, thin conductive wires depoyed in space that can be used to generate power by reoving kinetic energy fro their orbita otion, or to produce thrust

More information

Chapter 7. Impulse and Momentum

Chapter 7. Impulse and Momentum Chapter 7 Ipulse and Moentu 7. The Ipulse-Moentu Theore 7. The Ipulse-Moentu Theore There are any situations when the force on an object is not constant. 7. The Ipulse-Moentu Theore DEFINITION OF IMPULSE

More information

Birthday Paradox Calculations and Approximation

Birthday Paradox Calculations and Approximation Birthday Paradox Calculations and Approxiation Joshua E. Hill InfoGard Laboratories -March- v. Birthday Proble In the birthday proble, we have a group of n randoly selected people. If we assue that birthdays

More information

Mission to Mars. MAE 598: Design Optimization Final Project. By: Trevor Slawson, Jenna Lynch, Adrian Maranon, and Matt Catlett

Mission to Mars. MAE 598: Design Optimization Final Project. By: Trevor Slawson, Jenna Lynch, Adrian Maranon, and Matt Catlett Mission to Mars MAE 598: Design Optimization Final Project By: Trevor Slawson, Jenna Lynch, Adrian Maranon, and Matt Catlett Motivation Manned missions beyond low Earth orbit have not occurred since Apollo

More information

Numerical Investigations of Hydraulic Transients in Pipelines having Centrifugal Pumps

Numerical Investigations of Hydraulic Transients in Pipelines having Centrifugal Pumps International Journal of Applied Engineering Research ISSN 0973-4562 Volue 13, Nuber 8 (2018) pp. 5999-6003 Research India Publications. http://www.ripublication.co Nuerical Investigations of Hydraulic

More information

Physics 140 D100 Midterm Exam 2 Solutions 2017 Nov 10

Physics 140 D100 Midterm Exam 2 Solutions 2017 Nov 10 There are 10 ultiple choice questions. Select the correct answer for each one and ark it on the bubble for on the cover sheet. Each question has only one correct answer. (2 arks each) 1. An inertial reference

More information

Efficient Filter Banks And Interpolators

Efficient Filter Banks And Interpolators Efficient Filter Banks And Interpolators A. G. DEMPSTER AND N. P. MURPHY Departent of Electronic Systes University of Westinster 115 New Cavendish St, London W1M 8JS United Kingdo Abstract: - Graphical

More information

Topic 5a Introduction to Curve Fitting & Linear Regression

Topic 5a Introduction to Curve Fitting & Linear Regression /7/08 Course Instructor Dr. Rayond C. Rup Oice: A 337 Phone: (95) 747 6958 E ail: rcrup@utep.edu opic 5a Introduction to Curve Fitting & Linear Regression EE 4386/530 Coputational ethods in EE Outline

More information

Supplementary Information for Design of Bending Multi-Layer Electroactive Polymer Actuators

Supplementary Information for Design of Bending Multi-Layer Electroactive Polymer Actuators Suppleentary Inforation for Design of Bending Multi-Layer Electroactive Polyer Actuators Bavani Balakrisnan, Alek Nacev, and Elisabeth Sela University of Maryland, College Park, Maryland 074 1 Analytical

More information

(a) Why cannot the Carnot cycle be applied in the real world? Because it would have to run infinitely slowly, which is not useful.

(a) Why cannot the Carnot cycle be applied in the real world? Because it would have to run infinitely slowly, which is not useful. PHSX 446 FINAL EXAM Spring 25 First, soe basic knowledge questions You need not show work here; just give the answer More than one answer ight apply Don t waste tie transcribing answers; just write on

More information

Uncertainty Propagation and Nonlinear Filtering for Space Navigation using Differential Algebra

Uncertainty Propagation and Nonlinear Filtering for Space Navigation using Differential Algebra Uncertainty Propagation and Nonlinear Filtering for Space Navigation using Differential Algebra M. Valli, R. Arellin, P. Di Lizia and M. R. Lavagna Departent of Aerospace Engineering, Politecnico di Milano

More information

Distributed-Feedback Lasers

Distributed-Feedback Lasers Distributed-Feedback Lasers Class: Integrated Photonic Devices Tie: Fri. 8:00a ~ 11:00a. Classroo: 資電 06 Lecturer: Prof. 李明昌 (Ming-Chang Lee) Wavelength Dependence of Bragg Reflections Free-Space Bragg

More information

Trajectory and Spacecraft Design for a Pole-Sitter Mission

Trajectory and Spacecraft Design for a Pole-Sitter Mission Trajectory and Spacecraft Design for a Pole-Sitter Mission Matteo Ceriotti, * Jeannette Heiligers, and Colin R. McInnes University of Strathclyde, Glasgow G1 1XJ, United Kingdo This paper provides a detailed

More information

Conservation of Momentum

Conservation of Momentum Conseration of Moentu We left off last with the idea that when one object () exerts an ipulse onto another (), exerts an equal and opposite ipulse onto. This happens in the case of a classic collision,

More information

ANALYSIS OF LANDING TRAJECTORY USING BACKWARD PROPAGATION

ANALYSIS OF LANDING TRAJECTORY USING BACKWARD PROPAGATION ANALYSIS OF LANDING TRAJECTORY USING BACKWARD PROPAGATION Melissa M. Onishi Departent of Mechanical Engineering University of Hawai i at Mānoa Honolulu, HI 96822 ABSTRACT The past NASA landing issions

More information

Problem Set 2. Chapter 1 Numerical:

Problem Set 2. Chapter 1 Numerical: Chapter 1 Nuerical: roble Set 16. The atoic radius of xenon is 18 p. Is that consistent with its b paraeter of 5.15 1 - L/ol? Hint: what is the volue of a ole of xenon atos and how does that copare to

More information

are equal to zero, where, q = p 1. For each gene j, the pairwise null and alternative hypotheses are,

are equal to zero, where, q = p 1. For each gene j, the pairwise null and alternative hypotheses are, Page of 8 Suppleentary Materials: A ultiple testing procedure for ulti-diensional pairwise coparisons with application to gene expression studies Anjana Grandhi, Wenge Guo, Shyaal D. Peddada S Notations

More information

Model Fitting. CURM Background Material, Fall 2014 Dr. Doreen De Leon

Model Fitting. CURM Background Material, Fall 2014 Dr. Doreen De Leon Model Fitting CURM Background Material, Fall 014 Dr. Doreen De Leon 1 Introduction Given a set of data points, we often want to fit a selected odel or type to the data (e.g., we suspect an exponential

More information

Q5 We know that a mass at the end of a spring when displaced will perform simple m harmonic oscillations with a period given by T = 2!

Q5 We know that a mass at the end of a spring when displaced will perform simple m harmonic oscillations with a period given by T = 2! Chapter 4.1 Q1 n oscillation is any otion in which the displaceent of a particle fro a fixed point keeps changing direction and there is a periodicity in the otion i.e. the otion repeats in soe way. In

More information

DRAFT. Memo. Contents. To whom it may concern SVN: Jan Mooiman +31 (0) nl

DRAFT. Memo. Contents. To whom it may concern SVN: Jan Mooiman +31 (0) nl Meo To To who it ay concern Date Reference Nuber of pages 219-1-16 SVN: 5744 22 Fro Direct line E-ail Jan Mooian +31 )88 335 8568 jan.ooian@deltares nl +31 6 4691 4571 Subject PID controller ass-spring-daper

More information

Polygonal Designs: Existence and Construction

Polygonal Designs: Existence and Construction Polygonal Designs: Existence and Construction John Hegean Departent of Matheatics, Stanford University, Stanford, CA 9405 Jeff Langford Departent of Matheatics, Drake University, Des Moines, IA 5011 G

More information

Applied Thermodynamics - II

Applied Thermodynamics - II Gas Turbines Sudheer Siddapureddy sudheer@iitp.ac.in Department of Mechanical Engineering Jet Propulsion - Classification 1. A heated and compressed atmospheric air, mixed with products of combustion,

More information

AAE SOLID ROCKET PROPULSION (SRP) SYSTEMS

AAE SOLID ROCKET PROPULSION (SRP) SYSTEMS 7. SOLID ROCKET PROPULSION (SRP) SYSTEMS Ch7 1 7.1 INTRODUCTION 7.1 INTRODUCTION Ch7 2 APPLICATIONS FOR SRM APPLICATIONS FOR SRM Strap-On Boosters for Space Launch Vehicles, Upper Stage Propulsion System

More information

CHAPTER 1 MOTION & MOMENTUM

CHAPTER 1 MOTION & MOMENTUM CHAPTER 1 MOTION & MOMENTUM SECTION 1 WHAT IS MOTION? All atter is constantly in MOTION Motion involves a CHANGE in position. An object changes position relative to a REFERENCE POINT. DISTANCE is the total

More information

Field Mass Generation and Control. Chapter 6. The famous two slit experiment proved that a particle can exist as a wave and yet

Field Mass Generation and Control. Chapter 6. The famous two slit experiment proved that a particle can exist as a wave and yet 111 Field Mass Generation and Control Chapter 6 The faous two slit experient proved that a particle can exist as a wave and yet still exhibit particle characteristics when the wavefunction is altered by

More information

Training an RBM: Contrastive Divergence. Sargur N. Srihari

Training an RBM: Contrastive Divergence. Sargur N. Srihari Training an RBM: Contrastive Divergence Sargur N. srihari@cedar.buffalo.edu Topics in Partition Function Definition of Partition Function 1. The log-likelihood gradient 2. Stochastic axiu likelihood and

More information

Computergestuurde Regeltechniek exercise session Case study : Quadcopter

Computergestuurde Regeltechniek exercise session Case study : Quadcopter Coputergestuurde Regeltechniek exercise session Case study : Quadcopter Oscar Mauricio Agudelo, Bart De Moor (auricio.agudelo@esat.kuleuven.be, bart.deoor@esat.kuleuven.be) February 5, 016 Proble description

More information

REPRODUCING KERNEL PARTICLE METHOD FOR CONDUCTION RADIATION INTERACTION IN 3D PARTICIPATING MEDIA

REPRODUCING KERNEL PARTICLE METHOD FOR CONDUCTION RADIATION INTERACTION IN 3D PARTICIPATING MEDIA Proceedings of the Asian Conference on Theral Sciences 2017, 1st ACTS March 26-30, 2017, Jeu Island, Korea ACTS-P00337 REPRODUCING KERNEL PARTICLE METHOD FOR CONDUCTION RADIATION INTERACTION IN 3D PARTICIPATING

More information

NUMERICAL SIMULATION OF COLD AIR JET ATTACHMENT TO NON ADIABATIC WALLS

NUMERICAL SIMULATION OF COLD AIR JET ATTACHMENT TO NON ADIABATIC WALLS Eleventh International IBPSA Conference Glasgow, Scotland July 27-30, 2009 NUMERICAL SIMULATION OF COLD AIR JET ATTACHMENT TO NON ADIABATIC WALLS Nikola Mirkov 1, Žana Stevanović 1, and Žarko Stevanović

More information

All you need to know about QM for this course

All you need to know about QM for this course Introduction to Eleentary Particle Physics. Note 04 Page 1 of 9 All you need to know about QM for this course Ψ(q) State of particles is described by a coplex contiguous wave function Ψ(q) of soe coordinates

More information

SEISMIC FRAGILITY ANALYSIS

SEISMIC FRAGILITY ANALYSIS 9 th ASCE Specialty Conference on Probabilistic Mechanics and Structural Reliability PMC24 SEISMIC FRAGILITY ANALYSIS C. Kafali, Student M. ASCE Cornell University, Ithaca, NY 483 ck22@cornell.edu M. Grigoriu,

More information

Momentum. Conservation of Linear Momentum. Slide 1 / 140 Slide 2 / 140. Slide 3 / 140. Slide 4 / 140. Slide 6 / 140. Slide 5 / 140.

Momentum. Conservation of Linear Momentum. Slide 1 / 140 Slide 2 / 140. Slide 3 / 140. Slide 4 / 140. Slide 6 / 140. Slide 5 / 140. Slide 1 / 140 Slide 2 / 140 Moentu www.njctl.org Slide 3 / 140 Slide 4 / 140 Table of Contents Click on the topic to go to that section Conservation of Linear Moentu Ipulse - Moentu Equation Collisions

More information