Subject: Turbojet engines (continued); Design parameters; Effect of mass flow on thrust.

Similar documents
10.7 Temperature-dependent Viscoelastic Materials

ELEG 205 Fall Lecture #10. Mark Mirotznik, Ph.D. Professor The University of Delaware Tel: (302)

5.1 Angles and Their Measure

CHAPTER 5. Exercises. the coefficient of t so we have ω = 200π

(V 1. (T i. )- FrC p. ))= 0 = FrC p (T 1. (T 1s. )+ UA(T os. (T is

Number of modes per unit volume of the cavity per unit frequency interval is given by: Mode Density, N

GAMS Handout 2. Utah State University. Ethan Yang

MASSACHUSETTS INSTITUTE OF TECHNOLOGY 6.265/15.070J Fall 2013 Lecture 15 10/30/2013. Ito integral for simple processes

Mass Transfer Coefficients (MTC) and Correlations I

(Radiation Dominated) Last Update: 21 June 2006

Guest Lectures for Dr. MacFarlane s EE3350 Part Deux

Small Combustion Chamber. Combustion chamber area ratio

Laplace transfom: t-translation rule , Haynes Miller and Jeremy Orloff

EECE 301 Signals & Systems Prof. Mark Fowler

Linear Quadratic Regulator (LQR) - State Feedback Design

Boyce/DiPrima 9 th ed, Ch 6.1: Definition of. Laplace Transform. In this chapter we use the Laplace transform to convert a

PRINCE SULTAN UNIVERSITY Department of Mathematical Sciences Final Examination Second Semester (072) STAT 271.

AP Physics 1 MC Practice Kinematics 1D

The Components of Vector B. The Components of Vector B. Vector Components. Component Method of Vector Addition. Vector Components

CHEMICAL KINETICS: 1. Rate Order Rate law Rate constant Half-life Temperature Dependence

PHYS-3301 Lecture 5. Chapter 2. Announcement. Sep. 12, Special Relativity. What about y and z coordinates? (x - direction of motion)

Q.1 Define work and its unit?

The Contradiction within Equations of Motion with Constant Acceleration

Summary of heat engines so far

6.003: Signals and Systems. Relations among Fourier Representations

EECE 301 Signals & Systems Prof. Mark Fowler

Sterilization D Values

Physics for Scientists & Engineers 2

Amit Mehra. Indian School of Business, Hyderabad, INDIA Vijay Mookerjee

Physics 140. Assignment 4 (Mechanics & Heat)

3.1.3 INTRODUCTION TO DYNAMIC OPTIMIZATION: DISCRETE TIME PROBLEMS. A. The Hamiltonian and First-Order Conditions in a Finite Time Horizon

Lecture 4 ( ) Some points of vertical motion: Here we assumed t 0 =0 and the y axis to be vertical.

Brace-Gatarek-Musiela model

Matlab and Python programming: how to get started

a. (1) Assume T = 20 ºC = 293 K. Apply Equation 2.22 to find the resistivity of the brass in the disk with

Introduction to Physical Oceanography Homework 5 - Solutions

Chapter 2. First Order Scalar Equations

Suggested Problem Solutions Associated with Homework #5

T L. t=1. Proof of Lemma 1. Using the marginal cost accounting in Equation(4) and standard arguments. t )+Π RB. t )+K 1(Q RB

Let us start with a two dimensional case. We consider a vector ( x,

Math Week 14 April 16-20: sections first order systems of linear differential equations; 7.4 mass-spring systems.

2.3 The Lorentz Transformation Eq.

Macroeconomic Theory Ph.D. Qualifying Examination Fall 2005 ANSWER EACH PART IN A SEPARATE BLUE BOOK. PART ONE: ANSWER IN BOOK 1 WEIGHT 1/3

where the coordinate X (t) describes the system motion. X has its origin at the system static equilibrium position (SEP).

Linear Circuit Elements

Examples of Dynamic Programming Problems

Two Coupled Oscillators / Normal Modes

The expectation value of the field operator.

Subject: Introduction to Component Matching and Off-Design Operation % % ( (1) R T % (

CIRCUITS AND ELECTRONICS. Op Amps Positive Feedback

The University of Iowa Dept. of Civil & Environmental Engineering 53:030 SOIL MECHANICS Midterm Exam #2, Fall Semester 2005

Problem Set 9 Due December, 7

Chapter 15: Phenomena. Chapter 15 Chemical Kinetics. Reaction Rates. Reaction Rates R P. Reaction Rates. Rate Laws

Lecture 16 (Momentum and Impulse, Collisions and Conservation of Momentum) Physics Spring 2017 Douglas Fields

Example: Parametric fire curve for a fire compartment

Inventory Analysis and Management. Multi-Period Stochastic Models: Optimality of (s, S) Policy for K-Convex Objective Functions

KEY. Math 334 Midterm I Fall 2008 sections 001 and 003 Instructor: Scott Glasgow

Physics 127b: Statistical Mechanics. Fokker-Planck Equation. Time Evolution

Math 334 Fall 2011 Homework 11 Solutions

6.003 Homework 1. Problems. Due at the beginning of recitation on Wednesday, February 10, 2010.

Economics 8105 Macroeconomic Theory Recitation 6

Analysis of Tubular Linear Permanent Magnet Motor for Drilling Application

Mathcad Lecture #8 In-class Worksheet Curve Fitting and Interpolation

The Buck Resonant Converter

Lecture #6: Continuous-Time Signals

EECE 301 Signals & Systems Prof. Mark Fowler

Hamilton- J acobi Equation: Explicit Formulas In this lecture we try to apply the method of characteristics to the Hamilton-Jacobi equation: u t

Linear Response Theory: The connection between QFT and experiments

MAE143A Signals & Systems - Homework 2, Winter 2014 due by the end of class Thursday January 23, 2014.

Math 2142 Exam 1 Review Problems. x 2 + f (0) 3! for the 3rd Taylor polynomial at x = 0. To calculate the various quantities:

( ) ( ) if t = t. It must satisfy the identity. So, bulkiness of the unit impulse (hyper)function is equal to 1. The defining characteristic is

Solutions to Assignment 1

Hamilton- J acobi Equation: Weak S olution We continue the study of the Hamilton-Jacobi equation:

Kinematics Review Outline

Chapter 12: Velocity, acceleration, and forces

i-clicker Question lim Physics 123 Lecture 2 1 Dimensional Motion x 1 x 2 v is not constant in time v = v(t) acceleration lim Review:

Solutions Problem Set 3 Macro II (14.452)

Physics 235 Chapter 2. Chapter 2 Newtonian Mechanics Single Particle

Second Law. first draft 9/23/04, second Sept Oct 2005 minor changes 2006, used spell check, expanded example

Basic definitions and relations

( ) = Q 0. ( ) R = R dq. ( t) = I t

Structural Dynamics and Earthquake Engineering

Product differentiation

5. Stochastic processes (1)

Roller-Coaster Coordinate System

Sound waves before recombination 25 Feb 2010

Problem Set 5. Graduate Macro II, Spring 2017 The University of Notre Dame Professor Sims

Heat Transfer and Friction Characteristics of Heat Exchanger Under Lignite Fly-Ash

Operators related to the Jacobi setting, for all admissible parameter values

ELECTRONIC JOURNAL OF POLISH AGRICULTURAL UNIVERSITIES

EE40 Summer 2005: Lecture 2 Instructor: Octavian Florescu 1. Measuring Voltages and Currents

Chapter 3 (Lectures 12, 13 and 14) Longitudinal stick free static stability and control

E β t log (C t ) + M t M t 1. = Y t + B t 1 P t. B t 0 (3) v t = P tc t M t Question 1. Find the FOC s for an optimum in the agent s problem.

SOLUTIONS TO ECE 3084

Module 2 F c i k c s la l w a s o s f dif di fusi s o i n

Notes 04 largely plagiarized by %khc

Optimal Transform: The Karhunen-Loeve Transform (KLT)

STA 114: Statistics. Notes 2. Statistical Models and the Likelihood Function

t is a basis for the solution space to this system, then the matrix having these solutions as columns, t x 1 t, x 2 t,... x n t x 2 t...

ELEG 205 Fall Lecture #13. Mark Mirotznik, Ph.D. Professor The University of Delaware Tel: (302)

Transcription:

16.50 Leure 19 Subje: Turbje engines (ninued; Design parameers; Effe f mass flw n hrus. In his haper we examine he quesin f hw hse he key parameers f he engine bain sme speified perfrmane a he design ndiins, and hw he perfrmane varies if hese parameers are hanged, sill a he design ndiins. Laer we will lk a a mplemenary quesin, namely, hw he perfrmane f a pariular design hanges when ndiins are differen frm design ndiins. Wih he resuls ha we wrked u las ime fr he Turbje engine, le us lk a he. dependene f /m a n he prinipal parameers, M, τ and θ. We an view hem his way τ design hie (mpressr pressure rai M fligh speed θ τ r θ mbusr ule emperaure, an peraing variable, limied by urbine maerials sme maximum value. Assuming he exhaus is mahed, we an re-wrie Eq. (10 f he previus leure as 1. = [# (1 " " # ($ "1]" M m a " 1 # 0 $ we an see ha sine θ τ >1, belw fr a subsni ase: always inreases wih θ. This relainship is displayed 1

r a given θ, wha is he variain wih τ? By inspein we see here is a maximum a he maximum f he brakeed quaniy, s a he value f τ ha saisfies 1 # 1 [ # (1 $ $ # ( " $ 1] = $ # = 0 " # " # " This value is (τ = max This resul an be seen be equivalen T 3 = T 0 T 4, namely, he mpressr exhaus shuld be a he gemerial mean f he ambien and mbusr exhaus emperaures. If i were muh lwer r muh higher, he T-S diagram f he equivalen Brayn yle wuld be skinny, and enlse lile area ( lile wrk per uni mass: (a T lile mpressin (b Opimal mpr. ( T muh mpr. T T T T 4 T 4 T 4 T 3 T 0 T 0 T 0 T 3 S S S Wheher his pwer is uilized as je kinei energy, as in he urbje, r as shaf pwer in a urbprp, is immaerial. Als, as far as his argumen, he mpressin T 3 /T 0 an be arbirarily divided beween ram mpressin (θ 0 and mehanial mpressin (τ. Wha is he meaning f his fr he urbje? Puing his value in (10 and he rrespnding expressin fr he speifi impulse, we have he hrus and I fr engines pimized fr hrus per uni f airflw: T 3

( = ( # max "1 + M "1 (Ι max = ( a h ( / 0 T g ( " " M (11 As an example ake: θ = 6.5 =.5, γ = 1.4 ( max = 5(.5 + M M (Ι = a ( h max T g 3.75 a h (83m /s(4.3x10 7 J /kg = = 6178s T g (1004J /kgk(00k(9.81m /s There is an upper limi n M reahed when he mpressr ule emperaure equals he urbine inle emperaure, s n fuel an be added. Tha is we mus have θ τ < θ Sine θ 0 inreases wih Mah number, he hereial limi is reahed when τ =1 and θ =θ, i.e. when 0 here is n mpressr and we have a ramje. Bu fr τ = he real limi is reahed when θ =, i.e., all he mpressin is due ne again he ram effe, bu we are allwing a gd margin fr hea addiin in he burner, s his ramje des prdue maximum hrus. r a urrenly praial value f θ = 9, θ < 3 r M < 3.9 Prpulsive Effiieny The Turbje engine is araive fr is simpliiy and is gd hrus behavir a high Mah numbers. Unfrunaely i is n very effiien a lw Mah numbers, beause is je veliy is high. T see his we nsider he Prpulsive Effiieny, defined as pwer # # airplane prpulsive " pwer # in # je u 0 m (u e # u 0 u 0 u = 0 = $ & u = e u 0 ' m ( u u # e # 0 (u e + u0 m (ue + u 0 % ( rm his we see ha here is a dire nfli beween he desire fr high je veliy give high hrus, and je veliy near he fligh veliy, maximize he prpulsive effiieny. 3

In erms f ur expressin fr hrus, sine u = M ( e 1 u 0 u e = ( / / M + 1 u 0 and we an wrie he expressin fr he prpulsive effiieny in erms f ur expressin fr hrus prpulsive = + M 0. Sine /m a ~ 3 fr lw M, η prp is n gd fr he urbje a lw Mah numbers. We will see laer hw his defiieny is remedied by adding a fan he engine prdue a Turbfan. Thermal and Overall Effiienies The Thermal Effiieny is define fr he Turbje Engine as $ & u u m e # 0 ' pwer # in # je % ( hermal " = pwer # in # fuel # flw m f h inally we an define an Overall Effiieny as pwer # # airplane verall " = pwer #in # fuel # flw u0 m f h We see ha verall = hermal prpulsive I is als impran ha he verall effiieny is direly relaed he speifi impulse: u0 gu0 gu verall = = = 0 I m f h m f g h h 4

MIT OpenCurseWare hp://w.mi.edu 16.50 Inrduin Prpulsin Sysems Spring 01 r infrmain abu iing hese maerials r ur Terms f Use, visi: hp://w.mi.edu/erms.