This document provides specifications and calculations for an aircraft design. It estimates weights, wing loading, thrust-to-weight ratios, center of gravity locations, and landing gear specifications. Gross weight is estimated to be 295,660 lbs. Minimum wing loading is 38,977 lbs/ft^2. Maximum thrust-to-weight ratio is 0.3143. Preliminary center of gravity is at 50.175 ft. Secondary estimates incorporate wings and tails to obtain a center of gravity of 50.889 ft. Landing gear and wing placement locations are also calculated.
Brief of Aerodynamic Loads_Moments Prediction for Micro-Mutt Wind Tunnel Mode...Adrià Serra Moral
This document summarizes the predicted aerodynamic loads that would be observed from a wind tunnel experiment on a Micro-Mutt model at various angles of attack and airspeeds. The geometry and predicted aerodynamic coefficients of the scaled-down Micro-Mutt model are provided. Plots of lift, drag, and pitching moment versus angle of attack are generated at airspeeds of 5 m/s and 25 m/s, showing the predicted values and uncertainty error bars. At lower airspeeds, the error bars are large due to loads being close to the minimum measurable values, while at higher airspeeds the error bars are smaller. Higher airspeeds therefore produce more accurate experimental results.
This document summarizes a degree project that designed a concept for a single-manned human-powered aircraft to theoretically complete the Kremer International Marathon prize course of flying 42,195 meters in under one hour. The project introduces human-powered flight basics and the prize requirements. It then details the aircraft design process, which included evaluating airfoils, calculating lift and thrust needs. The designed concept aircraft, called Euler One, is presented along with analyses of its aeronynamic properties and propeller. The conclusion is that the prize is theoretically feasible but not economically viable with today's materials costs. Future work could improve the design and potentially lead to a successful prize attempt.
This document discusses an aeroelastic analysis of a stiffened composite wing structure conducted by researchers at Aeronautical Development Establishment. The researchers used the velocity-damping method to estimate the flutter speed and frequencies of an unmanned aerial vehicle's composite wing. Finite element modeling was conducted to determine the wing's natural frequencies. Input parameters were used in a MATLAB code developed based on the velocity-damping method equations to calculate the flutter speed. Results showed improved flutter speeds for the composite wing structure compared to an existing metallic wing design.
Fighter Aircraft Performance, Part II of two, describes the parameters that affect aircraft performance.
For comments please contact me at solo.hermelin@gmail.com.
For more presentations on different subjects visit my website at http://www.solohermelin.com.
This document provides a summary of fighter aircraft avionics and flight instruments. It discusses the basic variables that represent the thermodynamic state of air including density, temperature, and pressure. It then describes key flight instruments such as the altimeter, airspeed indicator, and how the air data computer uses total and static pressure and temperature readings to calculate important flight parameters. The roles of the pitot-static system and various gyroscopic and magnetic instruments are also summarized.
Brief of Aerodynamic Loads_Moments Prediction for Micro-Mutt Wind Tunnel Mode...Adrià Serra Moral
This document summarizes the predicted aerodynamic loads that would be observed from a wind tunnel experiment on a Micro-Mutt model at various angles of attack and airspeeds. The geometry and predicted aerodynamic coefficients of the scaled-down Micro-Mutt model are provided. Plots of lift, drag, and pitching moment versus angle of attack are generated at airspeeds of 5 m/s and 25 m/s, showing the predicted values and uncertainty error bars. At lower airspeeds, the error bars are large due to loads being close to the minimum measurable values, while at higher airspeeds the error bars are smaller. Higher airspeeds therefore produce more accurate experimental results.
This document summarizes a degree project that designed a concept for a single-manned human-powered aircraft to theoretically complete the Kremer International Marathon prize course of flying 42,195 meters in under one hour. The project introduces human-powered flight basics and the prize requirements. It then details the aircraft design process, which included evaluating airfoils, calculating lift and thrust needs. The designed concept aircraft, called Euler One, is presented along with analyses of its aeronynamic properties and propeller. The conclusion is that the prize is theoretically feasible but not economically viable with today's materials costs. Future work could improve the design and potentially lead to a successful prize attempt.
This document discusses an aeroelastic analysis of a stiffened composite wing structure conducted by researchers at Aeronautical Development Establishment. The researchers used the velocity-damping method to estimate the flutter speed and frequencies of an unmanned aerial vehicle's composite wing. Finite element modeling was conducted to determine the wing's natural frequencies. Input parameters were used in a MATLAB code developed based on the velocity-damping method equations to calculate the flutter speed. Results showed improved flutter speeds for the composite wing structure compared to an existing metallic wing design.
Fighter Aircraft Performance, Part II of two, describes the parameters that affect aircraft performance.
For comments please contact me at solo.hermelin@gmail.com.
For more presentations on different subjects visit my website at http://www.solohermelin.com.
This document provides a summary of fighter aircraft avionics and flight instruments. It discusses the basic variables that represent the thermodynamic state of air including density, temperature, and pressure. It then describes key flight instruments such as the altimeter, airspeed indicator, and how the air data computer uses total and static pressure and temperature readings to calculate important flight parameters. The roles of the pitot-static system and various gyroscopic and magnetic instruments are also summarized.
The document analyzes the performance of an aircraft design called Azure. It assessed take-off, climb, cruise, descent and landing performance to ensure it met Airbus requirements. Key findings include:
- Climb performance of 22.7 minutes, 150nm and 2.72 tons of fuel to reach initial cruise altitude of 35,000ft.
- Cruise performance of 10.7 hours, 5215nm and 44.4 tons of fuel at a cruise climb mode.
- Descent fuel of 112kg over 135nm in 23 minutes.
- Take-off field length of 2550m at MTOW, meeting Airbus requirements.
- Landing field length of 1830m at MLW.
Matlab codes for Sizing and Calculating the Aircraft Stability & PerformanceAhmed Momtaz Hosny, PhD
Matlab codes for Sizing and Calculating the Aircraft Stability & Performance, with the knowledge of the DATCOM Results. (Simple and rapid way to analyze and evaluate the aircraft performance)
This thesis presents a position control method for a pneumatic actuation system. It first develops a dynamic model for the pneumatic actuator based on energy methods. It then applies a nonlinear backstepping control method to provide accurate trajectory tracking for the actuator despite disturbances from external forces varying between 250-1050 N. Simulation and experimental results on a test rig demonstrate the controller's excellent tracking of sinusoidal and square wave reference signals. An appendix also includes an original methodology for modeling the actuator's mass flow rate based on experimental identification.
This document contains the output from a performance analysis of a Diamond DA-40 aircraft conducted by Michael Mastromichalis. The analysis calculates key performance parameters at sea level, 5000 feet, and 10000 feet including stall speed, speed at minimum power required, maximum power available, and power required/available at various flight conditions. Graphs are presented showing power required versus airspeed and power required/available versus airspeed. Maximum rates of climb, endurance, range and other metrics are also determined.
The document analyzes the stability and control of the Zivko Edge 540T aerobatic aircraft. It estimates key physical properties and determines equilibrium flight conditions. Non-dimensional stability derivatives are then calculated, showing the aircraft is longitudinally stable. Lateral stability is also analyzed, with the aircraft found to be laterally stable except for an unstable spiral mode. Dimensional derivatives are used to examine specific stability modes, with most modes stable except the spiral mode.
3DoF Helicopter Trim , Deceleration manouver simulation, Stability Deepak Paul Tirkey
This document describes trim calculations for a helicopter's longitudinal 3 degree-of-freedom model at varying forward flight speeds using two different methods: the TU Delft method and Bramwell's method. For each method, the document provides the algorithms, implementation in C++ code to generate trim data, and plots of the results. The TU Delft method iteratively calculates collective pitch and longitudinal cyclic pitch, while Bramwell's method directly calculates these values based on thrust and force coefficients. Source code is included for both trim calculation programs.
Aircraft propulsion non ideal turbomachine 2 dAnurak Atthasit
This document outlines the topics and content covered in a unit on 2-D analysis in turbomachinery flow with loss taught from 2005-2010. The unit covered 2-D blade design criteria such as diffusion factor and degree of reaction. It also covered 2-D flow analysis for blades with loss, including isentropic/polytropic loss, loss coefficient, and work done factor. The document provides examples of these concepts and notes they were practiced in class.
Water pumping based on wind turbine generation system.Adel Khinech
This document presents a master's thesis on a water pumping system based on a wind turbine generation system. The thesis includes a background on wind turbine development and operation. It describes the mechanical components of the wind turbine and mathematical equations for wind energy dynamics and the generating system, including the turbine, permanent magnet synchronous generator, power converters, and water pumping system. Simulation studies are carried out in MATLAB/Simulink to validate the proposed model. Control techniques employed include MPPT, PWM, SVM, and FOC.
The document presents the final design of a wing structure for an 8,000lb aircraft with a 20ft wingspan. It summarizes the problem statement, proposed solutions, decision matrix, design parameters, applied loads analysis, and margins of safety calculations. The prevailing two-cell web-stringer model is detailed, including cross-sections, profiles, and component specifications. The design meets all requirements and estimates a final wing weight of 288lbs. Recommendations include additional analyses and consideration of alternative materials.
Design and Analysis of Solar Powered RC Aircrafttheijes
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
Roof Truss Design (By Hamza Waheed UET Lahore )Hamza Waheed
This presentation defines, describes and presents the most effective and easy way to design a roof truss with all the necessary steps and calculations based on Allowable Stress Design. Soft-wares like MD Solids, Truss Analysis have been used. It is most convenient way to design a roof truss which is being the most important structural components of All types of steel bridges.
This document is the thesis of Dmitriy Rivkin submitted in partial fulfillment of the requirements for a Master of Science degree in Computer Engineering from the University of California, Santa Cruz. The thesis investigates optimal control techniques for minimum energy attitude maneuvers of CubeSats using reaction wheels. It formulates the optimal control problem, develops algorithms to solve for optimal trajectories, and analyzes the performance of the optimal trajectories through simulations and hardware experiments on a CubeSat testbed. The thesis contributes to advancing optimal control methods for efficient attitude control of small satellites.
Water pumping based on wind turbine generation system.Adel Khinech
The amount of energy extracted from renewable resources, and specially from wind, is considered today as a competitive and necessary alternative to fossil resources. The use of wind energy has grown during the last few years, this has led to an increase of research and development of larger and effective wind turbines in order to offer renewable energy to the customers. The aim of this work is to interpret wind turbines control techniques, and develop a conversion system connected to a water pump.
Adel KHINECH.
This document contains an exam for a surveying course with 5 questions. Question 1 involves calculating the horizontal distance between two points using angle and tape length measurements. Question 2 involves calculating elevations of points using inclined stadia readings and computing cut depths for an underground sewage pipe. Question 3 involves calculating the area of a plot using UTM coordinates measured by total station and calculating a volume using prismoidal formula. Question 4 involves calculating bearings, azimuths and coordinates for a traverse. Question 5 involves calculating stations and coordinates for points on a horizontal curve given the degree of curvature, azimuths and coordinates of one point.
This document discusses the design and analysis of flywheels. It begins by defining key parameters that describe flywheel performance such as coefficient of fluctuation of speed and energy. It then analyzes the stresses in a flywheel rim due to centrifugal force and restraint of the arms. Stresses in the flywheel arms are also examined. The document provides equations for designing components of the flywheel including the arms, shaft, hub and key. Examples are given to demonstrate flywheel performance calculations and stress analysis of the rim. The document serves as a reference for flywheel design, analysis of stresses, and selection of appropriate materials and dimensions.
The document analyzes the aerodynamic characteristics of the FX 63-137 airfoil using XFOIL software. XFOIL was used to generate lift and drag curves across a range of angles of attack and calculate coefficients like lift curve slope, maximum lift, and minimum drag. These results were then compared to wind tunnel data from the Stuttgarter Profilkatalog, finding some differences, especially at high angles of attack. The document includes figures of the results and tables comparing the XFOIL and experimental values.
Fighter jet Swept back wing design and Analysis by using of Xflr5Mani5436
This document summarizes the wing design of a proposed fighter jet. It describes the selection of the wing geometry, including the wing area, aspect ratio, chords, and sweep, dihedral, and twist angles. It also discusses the selection of two airfoil profiles and calculates the aerodynamic characteristics of the wing. Additionally, it describes the selection of a mid-mounted wing configuration and sizes the horizontal and vertical tails. The landing gear system and performance parameters are also analyzed and justified.
The document analyzes the performance of an aircraft design called Azure. It assessed take-off, climb, cruise, descent and landing performance to ensure it met Airbus requirements. Key findings include:
- Climb performance of 22.7 minutes, 150nm and 2.72 tons of fuel to reach initial cruise altitude of 35,000ft.
- Cruise performance of 10.7 hours, 5215nm and 44.4 tons of fuel at a cruise climb mode.
- Descent fuel of 112kg over 135nm in 23 minutes.
- Take-off field length of 2550m at MTOW, meeting Airbus requirements.
- Landing field length of 1830m at MLW.
Matlab codes for Sizing and Calculating the Aircraft Stability & PerformanceAhmed Momtaz Hosny, PhD
Matlab codes for Sizing and Calculating the Aircraft Stability & Performance, with the knowledge of the DATCOM Results. (Simple and rapid way to analyze and evaluate the aircraft performance)
This thesis presents a position control method for a pneumatic actuation system. It first develops a dynamic model for the pneumatic actuator based on energy methods. It then applies a nonlinear backstepping control method to provide accurate trajectory tracking for the actuator despite disturbances from external forces varying between 250-1050 N. Simulation and experimental results on a test rig demonstrate the controller's excellent tracking of sinusoidal and square wave reference signals. An appendix also includes an original methodology for modeling the actuator's mass flow rate based on experimental identification.
This document contains the output from a performance analysis of a Diamond DA-40 aircraft conducted by Michael Mastromichalis. The analysis calculates key performance parameters at sea level, 5000 feet, and 10000 feet including stall speed, speed at minimum power required, maximum power available, and power required/available at various flight conditions. Graphs are presented showing power required versus airspeed and power required/available versus airspeed. Maximum rates of climb, endurance, range and other metrics are also determined.
The document analyzes the stability and control of the Zivko Edge 540T aerobatic aircraft. It estimates key physical properties and determines equilibrium flight conditions. Non-dimensional stability derivatives are then calculated, showing the aircraft is longitudinally stable. Lateral stability is also analyzed, with the aircraft found to be laterally stable except for an unstable spiral mode. Dimensional derivatives are used to examine specific stability modes, with most modes stable except the spiral mode.
3DoF Helicopter Trim , Deceleration manouver simulation, Stability Deepak Paul Tirkey
This document describes trim calculations for a helicopter's longitudinal 3 degree-of-freedom model at varying forward flight speeds using two different methods: the TU Delft method and Bramwell's method. For each method, the document provides the algorithms, implementation in C++ code to generate trim data, and plots of the results. The TU Delft method iteratively calculates collective pitch and longitudinal cyclic pitch, while Bramwell's method directly calculates these values based on thrust and force coefficients. Source code is included for both trim calculation programs.
Aircraft propulsion non ideal turbomachine 2 dAnurak Atthasit
This document outlines the topics and content covered in a unit on 2-D analysis in turbomachinery flow with loss taught from 2005-2010. The unit covered 2-D blade design criteria such as diffusion factor and degree of reaction. It also covered 2-D flow analysis for blades with loss, including isentropic/polytropic loss, loss coefficient, and work done factor. The document provides examples of these concepts and notes they were practiced in class.
Water pumping based on wind turbine generation system.Adel Khinech
This document presents a master's thesis on a water pumping system based on a wind turbine generation system. The thesis includes a background on wind turbine development and operation. It describes the mechanical components of the wind turbine and mathematical equations for wind energy dynamics and the generating system, including the turbine, permanent magnet synchronous generator, power converters, and water pumping system. Simulation studies are carried out in MATLAB/Simulink to validate the proposed model. Control techniques employed include MPPT, PWM, SVM, and FOC.
The document presents the final design of a wing structure for an 8,000lb aircraft with a 20ft wingspan. It summarizes the problem statement, proposed solutions, decision matrix, design parameters, applied loads analysis, and margins of safety calculations. The prevailing two-cell web-stringer model is detailed, including cross-sections, profiles, and component specifications. The design meets all requirements and estimates a final wing weight of 288lbs. Recommendations include additional analyses and consideration of alternative materials.
Design and Analysis of Solar Powered RC Aircrafttheijes
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
Roof Truss Design (By Hamza Waheed UET Lahore )Hamza Waheed
This presentation defines, describes and presents the most effective and easy way to design a roof truss with all the necessary steps and calculations based on Allowable Stress Design. Soft-wares like MD Solids, Truss Analysis have been used. It is most convenient way to design a roof truss which is being the most important structural components of All types of steel bridges.
This document is the thesis of Dmitriy Rivkin submitted in partial fulfillment of the requirements for a Master of Science degree in Computer Engineering from the University of California, Santa Cruz. The thesis investigates optimal control techniques for minimum energy attitude maneuvers of CubeSats using reaction wheels. It formulates the optimal control problem, develops algorithms to solve for optimal trajectories, and analyzes the performance of the optimal trajectories through simulations and hardware experiments on a CubeSat testbed. The thesis contributes to advancing optimal control methods for efficient attitude control of small satellites.
Water pumping based on wind turbine generation system.Adel Khinech
The amount of energy extracted from renewable resources, and specially from wind, is considered today as a competitive and necessary alternative to fossil resources. The use of wind energy has grown during the last few years, this has led to an increase of research and development of larger and effective wind turbines in order to offer renewable energy to the customers. The aim of this work is to interpret wind turbines control techniques, and develop a conversion system connected to a water pump.
Adel KHINECH.
This document contains an exam for a surveying course with 5 questions. Question 1 involves calculating the horizontal distance between two points using angle and tape length measurements. Question 2 involves calculating elevations of points using inclined stadia readings and computing cut depths for an underground sewage pipe. Question 3 involves calculating the area of a plot using UTM coordinates measured by total station and calculating a volume using prismoidal formula. Question 4 involves calculating bearings, azimuths and coordinates for a traverse. Question 5 involves calculating stations and coordinates for points on a horizontal curve given the degree of curvature, azimuths and coordinates of one point.
This document discusses the design and analysis of flywheels. It begins by defining key parameters that describe flywheel performance such as coefficient of fluctuation of speed and energy. It then analyzes the stresses in a flywheel rim due to centrifugal force and restraint of the arms. Stresses in the flywheel arms are also examined. The document provides equations for designing components of the flywheel including the arms, shaft, hub and key. Examples are given to demonstrate flywheel performance calculations and stress analysis of the rim. The document serves as a reference for flywheel design, analysis of stresses, and selection of appropriate materials and dimensions.
The document analyzes the aerodynamic characteristics of the FX 63-137 airfoil using XFOIL software. XFOIL was used to generate lift and drag curves across a range of angles of attack and calculate coefficients like lift curve slope, maximum lift, and minimum drag. These results were then compared to wind tunnel data from the Stuttgarter Profilkatalog, finding some differences, especially at high angles of attack. The document includes figures of the results and tables comparing the XFOIL and experimental values.
Fighter jet Swept back wing design and Analysis by using of Xflr5Mani5436
This document summarizes the wing design of a proposed fighter jet. It describes the selection of the wing geometry, including the wing area, aspect ratio, chords, and sweep, dihedral, and twist angles. It also discusses the selection of two airfoil profiles and calculates the aerodynamic characteristics of the wing. Additionally, it describes the selection of a mid-mounted wing configuration and sizes the horizontal and vertical tails. The landing gear system and performance parameters are also analyzed and justified.
This document describes hydrostatic and stability calculation programs contained in Volume 3. It provides details on:
1) Hydrostatic tables for even keel and trim, intact stability calculations including criteria evaluation, floodable length curves, launching calculations, tonnage calculation, and Bonj-Jean data.
2) The data sheets used to define the calculations and output formatting.
3) Options for calculating hydrostatic data and stability for different draft, trim, and heel positions to ensure accurate results.
This document describes an analysis of the design constraints and weight estimation for an electric propeller-driven RC aircraft. It outlines the development of computer programs to model the aircraft's performance based on input parameters, calculate required power-to-weight ratios for different flight phases, and estimate take-off weight based on battery weight. The programs analyze how wing loading and power-to-weight ratio are related given performance requirements, and compute the battery, payload, and empty weights needed to meet those requirements.
This document provides details of the third weight estimation for a small surveillance aircraft model. The total weight from the second estimation is 1045.3g. Design parameters like a NACA 2414 airfoil with 16cm chord, 1m wingspan, and 45.38N/m^2 wing loading are assumed. Balsa wood is selected as the construction material. Component weights like power plant (256g), payload (120g) are known. The third estimation will account for additional structural weights of the wings, fuselage, tail surfaces, and fittings to obtain the final total weight.
This document discusses vehicle testing and data analysis for aerodynamic parameters. It begins with introductions to key aerodynamic principles like drag, lift, and boundary layer separation. It then describes the methodology for simulator testing of different wing angles of attack. Results and analysis are presented on coefficients of drag, lift, and lap performance for varying setups. The document concludes with recommendations for wing parameters and directions for further work.
RC Plane and Aerofoil Design bst - CACULATIONS 2-1-1 (1).pdfPriyanshuYadav501002
The document provides information about a workshop on coroplast RC plane design being held by the Aero Modelling Club of NIT Kurukshetra. It includes specifications for acceptable RC plane models, such as a thrust-to-weight ratio below 0.75 and a maximum wingspan of 1.2 meters. Formulas are provided for calculating thrust, weight limits, and wing area based on the type of motor and propellers used. The document also covers topics to be discussed at the workshop, including wing design, aerofoil selection and nomenclature, tail design, relevant electronic components, and a sample circuit diagram.
This document discusses aircraft take-off and landing performance. It provides equations to calculate take-off ground roll distance and total take-off distance based on factors like thrust, weight, wing area, and lift coefficient. The document also discusses regulations for landing performance and provides an empirical equation to calculate total landing distance. It concludes by providing recommended lift coefficient ranges for take-off and landing for fighter and transport aircraft design.
This document discusses optimizing the total energy of an F3J glider during towing. It presents equations of motion and models the various energy components - kinetic, potential, and elastic potential in the tow line. Graphs show how the energy components vary with sink rate and airspeed. The document recommends flying at speeds that maximize total available energy at the end of tow. Changing camber has less impact than pitch trim. Most important is the elastic potential energy in the tow line, though friction limits extracting all of this energy when releasing. Improving line materials with low hysteresis could help extract more stored energy.
IRJET- Design and Development of Open Differential for Transmission System of...IRJET Journal
This document describes the design and development of an open differential for an all-terrain vehicle (ATV). The authors first perform analytical calculations to determine the required gear ratios and sizes based on the vehicle's dimensions and performance requirements. They select materials and design the gears to withstand bending and contact stresses. Bearings are sized to support the radial and axial loads from the gears. The differential components, including gears, pinion, and center pin, are then modeled in CAD software. In summary, the authors designed and analyzed an open differential through calculations and CAD modeling to transmit torque from the transmission to the wheels of an ATV.
SELECTION AND ANALYSIS OF AN AIRFOIL FOR FIXED WING MICRO UNMANNED AERIAL VEH...IRJET Journal
This document discusses the selection and analysis of an airfoil for a fixed-wing micro unmanned aerial vehicle (UAV). It outlines the methodology used, which included calculating the Reynolds number, theoretical maximum lift coefficient, and selecting criteria. Over 2000 airfoils were analyzed using their aerodynamic characteristics graphs from software. The MH113 airfoil was selected based on having the highest maximum lift-to-drag ratio, maximum lift coefficient, and smooth stall behavior. Computational fluid dynamics analysis in ANSYS of the MH113 airfoil validated the predicted aerodynamic performance. The selected airfoil will be used for the design of the micro UAV wing.
The document presents the design of the LAT-1 large air tanker aircraft by Ember Aviation in response to the 2015-2016 AIAA Foundation Undergraduate Team Aircraft Design Competition. The LAT-1 is designed to carry 5,000 gallons of water or retardant with a maximum weight of 45,000 lbs and perform 3 drops per sortie within a 200 nm radius of the base, as well as have a ferry range of 2,500 nm. The LAT-1 features a retardant tank fuselage shape with two engines mounted on top of the wings. Ember Aviation's goal was to eliminate wasted space on the aircraft by integrating all components, such as the cockpit and payload tank, directly into the aircraft structure
This document summarizes research on analyzing the aero-elastic behavior of composite wing structures. The researchers used a velocity-damping method to estimate flutter speed and frequencies. They developed a finite element model of a composite wing and analyzed its normal modes to obtain natural frequencies. These frequencies were input into an analytical code to compute the wing's flutter speed. The analysis showed the composite wing had a higher flutter speed of 283.4 m/s compared to 264.6 m/s for an existing metallic wing, demonstrating improved aero-elastic performance from the composite material.
Consider a 4-Link robot manipulator shown below. Use the forward kine.pdfmeerobertsonheyde608
Consider a 4-Link robot manipulator shown below. Use the forward kinematic D-H table and
write an m file that plots the manipulator. The instructions are given in the module 6. Submit
your solutions by the due date, in a single MATLAB m file.
Solution
Please give the kinetic D-H table else it would be difficult to code as we need to know the
rotation spin axis and other momentum of manipulator
Stating a general example code for manipulator with data
function X = fwd_kin(q,x)
% given a position in the configuration space, calculate the position of
% the end effector in the workspace for a two-link manipulator.
% q: vector of joint positions
% x: design vector (link lengths)
% X: end effector position in cartesian coordinates
% configuration space coordinates:
q1 = q(1); % theta 1
q2 = q(2); % theta 2
% manipulator parameters:
l1 = x(1); % link 1 length
l2 = x(2); % link 2 length
% calculate end effector position:
X = [l1*cos(q1) + l2*cos(q1+q2)
l1*sin(q1) + l2*sin(q1+q2)];
% SimulateTwolink.m uses inverse dynamics to simulate the torque
% trajectories required for a two-link planar robotic manipulator to follow
% a prescribed trajectory. It also computes total energy consumption. This
% code is provided as supplementary material for the paper:
%
% \'Engineering System Co-Design with Limited Plant Redesign\'
% Presented at the 8th AIAA Multidisciplinary Design Optimization
% Specialist Conference, April 2012.
%
% The paper is available from:
%
% http://systemdesign.illinois.edu/publications/All12a.pdf
%
% Here both the physical system design and control system design are
% considered simultaneously. Manipulator link length and trajectory
% specification can be specified, and torque trajectory and energy
% consumption are computed based on this input. It was found that maximum
% torque and total energy consumption calculated using inverse dynamics
% agreed closely with results calculated using feedback linearization, so
% to simplify optimization problem solution an inverse dynamics approach
% was used, which reduces the control design vector to just the trajectory
% design.
%
% In the conference paper several cases are considered, each with its own
% manipulator task, manipulator design, and trajectory design. The
% specifications for each of these five cases are provided here, and can be
% explored by changing the case number variable (cn).
%
% This code was incorporated into a larger optimization project. The code
% presented here includes only the analysis portion of the code, no
% optimization.
%
% A video illustrating the motion of each of these five cases is available
% on YouTube:
%
% http://www.youtube.com/watch?v=OR7Y9-n5SjA
%
% Author: James T. Allison, Assistant Professor, University of Illinois at
% Urbana-Champaign
% Date: 4/10/12
clear;clc
% simulation parameters:
p.dt = 0.0005; % simulation step size
tf = 2; p.tf = tf; % final time
p.ploton = 0; % turn off additional plotting capabilities
p.ploton2 = 0;
p.Tallow = 210; % maximum .
Design of the wing box structure for the given wing geometry, weights and load factors. Microsoft Excel was used for all the calculations needed for this design. The complete structure was drafted using Solidworks CAD software.
This document discusses the calculation of loads on an integral bolted girth flange on a heat exchanger using finite element analysis and ASME design rules. It provides the design data for the flange, including dimensions, materials, pressures and temperatures. It then shows the step-by-step mathematical calculations to determine the required bolt load, flange moments, and various correction factors according to the ASME code. The results of the FEA analysis will be compared to the mathematical calculations to validate the flange design.
This document summarizes a study that analyzed and optimized the weight of a wing box structure subjected to flight loads. The wing box was modeled and a stress analysis was performed under applied loads. Several design iterations were carried out by introducing cut-outs to rib webs in areas of low stress concentration, reducing the wing box weight by 3% without compromising stiffness. This weight reduction improves aircraft efficiency and performance by enabling reduced fuel consumption.
Mini Project - STRUCTURAL-ANALYSIS-AND-MATERIAL-SELECTIONdna1992
The document summarizes the structural analysis and material selection process for a solar-powered unmanned aerial vehicle (UAV) design project. It describes:
1) Dividing the task into phases of structure analysis, material selection for high stress areas like the wing box, and selection of high strength-to-weight materials.
2) Calculating buckling stresses on the wing and selecting magnesium alloy for its lower buckling stress and weight.
3) Analyzing flight loads, including limit load factors and gust loads, to determine a design load factor of 1.5 times the limit.
4) Estimating weights of wing components like skin and spars, and the overall airframe weight.
5) Design
1. 1
Appendix A
Table of Contents
Specifications ..................................................................................................................... 1
Gross Weight Calculations ................................................................................................... 2
Wing Loading .................................................................................................................... 4
Cruise wing loading is least value ......................................................................................... 5
Thrust to Weight ................................................................................................................ 6
Mean aerodynamic chord ..................................................................................................... 7
1st CG Estimate ................................................................................................................. 8
2nd CG Estimate (Wing Addition) ........................................................................................ 8
Tail Addition ..................................................................................................................... 9
2nd Wing Placement and Landing Gear Specifications ............................................................ 12
Better Weight Estimates ..................................................................................................... 13
Convergence of Weight Estimates ....................................................................................... 16
Second Performance Analysis ............................................................................................. 18
Time calculations .............................................................................................................. 23
Specifications
clc,clear
% Passengers
% 10 family members (200 lbs.)
% 2 pilots (180 lbs.)
% 1 Flight attendant (180 lbs.)
% Baggage per crew (20 lbs.)
% Baggage per passenger (50 lbs.)
% Total Payload Weight
Wp = 10*200 + 20*3 + 10*50
% Total Crew Weight
Wc = 3*180
% Cruise Specifications
Vcruise = .75 * 659.8 * 5280 / 3600; % ft/s
Hcruise = 40000; % Altitude (ft)
% Stall Specifications
Vstall = 90 * 5280 / 3600; % ft/s
% Range Specifications (PHL to Bankok)
R = 8721 * 5280; % ft
% Loiter Specifications
Vloiter = .6 * 678.1 * 5280 / 3600; % ft/s
Hloiter = 30000; % ft
E = 1800; % seconds
% Rate of Climb Specifications
2. Appendix A
2
RC = 1500 / 60; % ft/s
% POWER PLANT
% More than 1 Turbofan
% MATERIAL SPECIFICATIONS
% Composite Material
% Load Limit Factor Sepcification
n = 4.0;
% Take Off and Landing Distance Specification
% s_T corresponds to Take-Off
% s_L corresponds to Landing
sgT = 6000; % ft
saT = 50; % ft
sgL = 4000; % ft
saL = 50; % ft
% Densities
rho40 = .00058727; % slugs/ft3
rho30 = .00089068; % slugs/ft3
rhoS = .0023769; % slugs/ft3
Wp =
2560
Wc =
540
Gross Weight Calculations
% Jet specific fuel consumptions (sfc) with respect to the cruise and
% loiter mission sections.
% Values are derived form Table 3.3 (Raymer) for high-bypass turbofans
% then converted to from lb/hr/lb to lb/s/lb
Ctcruise = .5/3600; % lb/s
Ctloiter = .4/3600; % lb/s
% Empy weight to gross weight ratio assumed from figure 8.1 (Anderson) for
% an approximate gross weight estimate according to previously designed
% aircraft depending upon their missions. NOTE: all ratios below are
% derived from historical data except for empty-gross.
WeW0 = .45;
W1W0 = .97;
W2W1 = .985;
W5W4 = .995;
3. Appendix A
3
% B-52 Bomber specificaitons, desired LDmax is 21 while in the loiter
% phase. The loiter phase will see the maximum lift to drag ratio while
% the cruise mission segment will see a slight reduction in the LD
% ratio according to page 22 (Raymer)
LDmaxL = 21;
LDmaxC = (.866).*LDmaxL;
% Cruise mission objective is for maximum range while loiter phase requires
% flying for endurance or specified time.
W3W2 = 1./(exp((R.*Ctcruise)./(Vcruise.*LDmaxC)))
W4W3 = 1./(exp((E.*Ctloiter)./LDmaxL))
W5W0 = W1W0.*W2W1.*W3W2.*W4W3.*W5W4
WfW0 = 1.06.*(1 - W5W0)
denom = 1- WfW0 - WeW0;
% Gross, Fuel and Empty Weights, Fcap = Fuel Capacity
W0 = (Wp + Wc)./denom %lbs
Wf = W0.*WfW0 %lbs
We = .45*W0 %lbs
Fcap = (Wf./5.64)*0.133681 %ft^3
W3W2 =
0.6160
W4W3 =
0.9905
W5W0 =
0.5800
WfW0 =
0.4451
W0 =
2.9566e+04
Wf =
1.3161e+04
4. Appendix A
4
We =
1.3305e+04
Fcap =
311.9510
Wing Loading
% Wing loading calculations for various mission segments of the flight. The
% The minimum wing loading will be selected.
% Take Off (Stall Velocity)
CL_airfoil = 1.6;
CL_highlift = .9;
CL_max = (CL_airfoil+CL_highlift)*.9
q = (0.5).*rhoS.*(Vstall.^2);
W1S = q.*CL_max
% Landing
g = 32.2;
Radius2 = ((1.23*Vstall)^2)/(.2*32.2);
hf = Radius2*(1-cosd(3));
sa2 = (50 -hf)/tand(3);
sf2 = Radius2*sind(3);
j = 1.15;
N = 3;
Ur = 0.4;
sg2 = sgL - sa2 - sf2;
A = j.*N.*sqrt(2./(rhoS.*CL_max));
B = (j.^2)./(g.*rhoS.*CL_max.*Ur);
C = B.^2;
D = (A.^2) + (2.*sg2.*B);
Z = sg2.^2;
x = [C -D Z];
W2S = roots(x)
% Cruise
Cdo = .012; % Taken from B-52
e = .6; % low wing from McCormick
K = 1./(4*(LDmaxC.^2).*Cdo)
W3S = (Vcruise.^2).*rho40./(2*sqrt((3.*K)./(Cdo)))
5. Appendix A
5
CL_max =
2.2500
W1S =
46.5920
W2S =
202.5173
115.6891
K =
0.0630
W3S =
38.9767
Cruise wing loading is least value
% Wing loading value selected as minimum from cruise flight and used to
% obtain wing area, and wing span thereafter. The aspect ratio is
% derived from induced drag and oswald efficiency factor.
WSmin = W3S
S = W0./WSmin
AR = 1./(pi.*e.*K)
b = sqrt(AR.*S)
WSmin =
38.9767
S =
758.5505
AR =
8.4220
6. Appendix A
6
b =
79.9281
Thrust to Weight
% Thrust to weight calculations for various mission segments. The highest
% value is to be selected.
% Take Off
n = 4;
CLadjust = .9*(1.7 + .5);
Radius = (6.96*(Vstall^2))/32.2;
ThetaOB = acosd(1-(50/Radius));
Sa = Radius*sind(ThetaOB);
y = (1.21*W3S)/(32.2*rhoS*CLadjust);
TW1 = y/(sgT - Sa)
% Rate of Climb
TW2 = (RC/Vstall)+(.5*rhoS*(Vstall^2)*(W3S^-1)*Cdo)+((2*W3S*K)/(rhoS*(Vstall^2)))
%Thrust Matching
a = .267;
c = .363;
TW3 = a.*(.75).^c
%Transport Statistical
TW4 = .25
%Sustained Turn
TWt = (.5*rho40*(Vcruise^2)*Cdo/W3S)+((W3S*K*(n^2))/(.5*rho40*(Vcruise^2)))
% Check
TWturnCheck = 2.*n.*sqrt(K.*Cdo)
TWcruiseCheck = 2*sqrt(K.*Cdo)
TW = TW2
T = W0.*TW
TW1 =
0.0578
TW2 =
0.3143
TW3 =
7. Appendix A
7
0.2405
TW4 =
0.2500
TWt =
0.3016
TWturnCheck =
0.2199
TWcruiseCheck =
0.0550
TW =
0.3143
T =
9.2936e+03
Mean aerodynamic chord
% cT = tip chord length, cR = root chord length, ybar = height of m.a.c.,
% cbar = spanwise location of m.a.c. and taper ratio lambda.
cT = 7.2;
cR = 12;
lambda = 0.6;
ybar = (b./6).*((1+2.*lambda)./(1+lambda))
cbar = (2/3).*cR.*((1+lambda+(lambda.^2))./(1+lambda))
ybar =
18.3169
cbar =
9.8000
8. Appendix A
8
1st CG Estimate
% Approximate locations and weights of all fuselage components. Used for
% moment calculation. (Refer to the AutoCAD sketch for better
% perspective).
% Engine
x1 = 80.8115;
w1 = 1.4*1644;
% Flight Attendant
x2 = 24.222;
w2 = 180;
% Bathroom
x3 = 28.972;
w3 = 130;
% Fridge & Food/ Drink
x4 = 28.972;
w4 = 400;
% Passengers
x5 = 56.157;
w5 = (10*200);
% Fuel Secondary and crew baggage
x6 = 36.7970;
w6 = 4767.5 + 20*3;
% Electrical System and Fuel Pump
x7 = 43.2970;
w7 = 200;
% Pilots
x8 = 20.472;
w8 = 2*180;
%Passenger Baggage
x9 = 70.342;
w9 = 50*10;
% Total Moment aabout Aircraft Nose
Mn = (x1.*w1) + (x2.*w2) + (x3.*w3) + (x4.*w4) + (x5.*w5) + (x6.*w6)...
+ (x7.*w7) + (x8.*w8) + (x9.*w9);
wn = w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9;
% First center of gravity without wings
CG1 = Mn./wn
CG1 =
50.1750
2nd CG Estimate (Wing Addition)
% Wing mean aerodynamic center located at fuselage CG1 above
Wwing = (2.5).*S;
WwF = Wwing + (Wf - 4767.5)
9. Appendix A
9
% Distance from leading edge to aerodynamic center
cbar1 = (.25).*cbar
% Distance between aerodynamic center and the center of gravity
cbar2 = (.4).*cbar - cbar1
% Fuel weight had been incorporated in the wing weight value because of the
% significant amount of weight added to the wings from the fuel. Process
% follows that of Anderson.
CG2 = (Mn + WwF.*(CG1 + cbar2))./(wn + WwF)
WwF =
1.0290e+04
cbar1 =
2.4500
cbar2 =
1.4700
CG2 =
50.8889
Tail Addition
% Horizontal and Vertical tail volume ratios, values were averaged form data
% ranges of aircraft with good stability characterisitcs.
VHT = .5;
VVT = .0425;
% Measuring from the nose of the aircraft, PL = Plane Length, PL2 =
% approximate location of the mean aerodynmic center of the horizontal
% tail.
PL = 90;
PL2 = (.965250965).*PL
% Locations of the horizontal and vertical m.a.c. from the center of
% gravity of the aircraft (wings and fuselage). The horizontal is found
% by subtracting the fuselage/wing combination center of gravity from
% the overall length the Horizontal m.a.c. from the a/c nose.
lHT = PL2 - CG2
lVT = (.934033859).*lHT
10. Appendix A
10
% The planview area calculations for both horizontal and vertical sections.
SHT = (VHT.*cbar.*S)./lHT
SVT = (VVT.*b.*S)./lVT
% Assumed aspect ratio of the horizontal wing section ARH according to
% Anderson. The horizontal span, root cord length and tip chord length
% calculations are shown below respectively.
ARH = 4;
bt = sqrt(SHT.*ARH)
crt = (2.*SHT)./((lambda + 1).*bt)
ctt = lambda.*crt
% These are the coordinates for the location of the m.a.c. of the
% horizontal tail. cHT is the spanwise distance from the right-most edge,
% while yHT is distance away from the centerline. (Where the mirror of the
% tail occurs)
yHT = (bt./6).*(1 + 2.*lambda)./(1 + lambda)
cHT = (2/3).*crt.*(1 + lambda + (lambda.^2))./(1+lambda)
% Vertical tail section aspect ratio, averaged from data range found on
% page 441 (Anderson)
ARV = 1.65;
Lambda_Vtail = .85;
% In order below, the height of the vertical tail section, root chord
% length, and tip chord length.
hVT = sqrt(ARV.*SVT)
crVT = 2.*SVT./((Lambda_Vtail+1).*hVT)
ctVT = Lambda_Vtail.*crVT
% Similar to the horizontal tail section, cVT is the distance of the m.a.c.
% measured spanwise from the right of the airfoil, while zVT is height
% component of the m.a.c. location.
zVT = (2.*hVT./6).*(1+(2.*Lambda_Vtail))./(1+Lambda_Vtail)
cVT = (2/3).*crVT.*(1 + Lambda_Vtail + (Lambda_Vtail.^2))./(1 + Lambda_Vtail)
PL2 =
86.8726
lHT =
35.9837
lVT =
33.6100
SHT =
12. Appendix A
12
6.8314
2nd Wing Placement and Landing Gear Specifi-
cations
% Static margin given as 10% (Anderson), calculation of the aerodynamic
% center of the wing body. Followed by calculation of the wing leading
% edge location, Crlead, and wing center location, Xc. NOTE: that Xc
% will be the location of the main landing gear for the aircraft.
% Measurements are made from the nose of the a/c.
SM = 0.1;
Xn = SM.*cbar + CG2;
Xacwing = Xn - VHT
Crlead = Xacwing - cbar1 - ((cR - cbar)./2);
Xc = Crlead + cR./2
Xnose = (0.086872587).*PL
% Distance calculation of each wheel from the known center of gravity (as
% opposed to the nose). Diagram can be seen on page 446 (Anderson). There
% are two location for the focus of all aircraft weight, being the nose and
% main landing gears. The main landing gear consists of a set of 2 wheels
% (left and right) and therefore it is necessary to split the load at that
% between between them.
X3 = Xc - Xnose;
X1 = CG2 - Xnose;
X2 = X3 - X1;
Fm = (W0.*X1)./X3
Fn = (W0.*X2)./X3
% Wheel Dimensions are calculated according to equation 8.82 (Anderson),
% where AD is the A diameter coefficient and AW is the A width
% coefficient, and so-on and so-forth.
AD = 1.51;
BD = 0.349;
AW = 0.715;
BW = 0.312;
% Main wheel diameter and width
MD = (AD.*((Fm./2).^BD))./12
MW = (AW.*((Fm./2).^BW))./12
% Nosewheel diameter and width
ND = (AD.*(Fn.^BD))./12
NW = (AW.*(Fn.^BW))./12
Xacwing =
13. Appendix A
13
51.3689
Xc =
53.8189
Xnose =
7.8185
Fm =
2.7683e+04
Fn =
1.8832e+03
MD =
3.5081
MW =
1.1673
ND =
1.7488
NW =
0.6265
Better Weight Estimates
%Front Cone Area
Front = pi*4*(4+sqrt(16.472^2+4^2))
%Main Cylinder Area
Center = (2*pi*4*56.476)+(2*pi*4^2)
%Rear Elipse Area
14. Appendix A
14
Back = pi*8*6.25*17.052
%Total Wetted Area
Wetted_area = Front+Center+Back
%Fuselage Weight
W_Fuselage = Wetted_area*1.4
%Main Wing Weight
W_Wings = 2.5*((7.2*36)+(36*2.4))
% Horizontal Tail Weight
W_HStab = 2*((4.1192*9.9822)+(1.25555*9.9822)+(.5*.9398*6.6303))
% Vertical Tail Weight
W_VStab = 2*((11.5656*5.2855)+(1.7618*11.5656))
% Landing Gear Weight
W_LGear = .057*W0
% W_Engine
W_Engine = 1.4*1644
% Other weight
W_Other = (.1*W0)
% Total Empty Weight
W_Empty = W_Fuselage+W_Wings+W_HStab+W_VStab+W_LGear+W_Engine+W_Other
Wf
% Take Off Weight
W_TO = Wc+Wp+Wf+W_Empty
Front =
263.2745
Center =
1.5199e+03
Back =
2.6785e+03
Wetted_area =
4.4617e+03
18. Appendix A
18
3.2143e+04
Second Performance Analysis
% 2nd analysis gross weight, empty weight, and fuel weight calculations.
W0v2 = W_TO16;
Wev2 = W_Empty16 ;
Wfv2 = Wf16;
% Lowest wing loading value, as well as the wing loading specific to climb,
% to be used in rate of climb calculations.
WSn = W0v2./S
WSclimb = (.97)*(.985).*WSn
% Rate of Climb
% The data series/ arrays shown below are for air densities according
% to their respective altitude, i.e. sea level, h = 0 and rho =
% 2.3769*10^-3. The rate of climb graph is derived from this data
% series being proportionally incorporated into thrut to weight
% caluclations. According to Anderson, as altitude increases, Thrust
% decreases proportional to rho^0.6 for turbofan engines.
rho_series = [2.3769 2.3423 2.3081 2.2743 2.2409 2.2079 2.1752 2.1429 ...
2.1110 2.0794 2.0482 2.0174 1.9869 1.9567 1.9270 1.8975 1.8685 ...
1.8397 1.8113 1.7833 1.7556 1.7282 1.7011 1.6744 1.6480 1.6219 ...
1.5961 1.5707 1.5455 1.5207 1.4962 1.4719 1.4480 1.4244 1.4011 ...
1.3781 1.3553 1.3329 1.3107 1.2889 1.2673 1.2459 1.2249 1.2041 ...
1.1836 1.1634 1.1435 1.1238 1.1043 1.0852 1.0663 1.0476 1.0292 ...
1.0110 .99311 .97544 .95801 .94082 .92387 .90716 .89068 .87443 ...
.85841 .84261 .82704 .81169 .79656 .78165 .76696 .75247 .73820 ...
.72413 .71028 .69443 .67800 .66196 .64629 .63100 .61608 .60150 ...
.58727 .41329 .39147 ] *(10^-3);
Altitude = [0 500 1000 1500 2000 2500 3000 3500 4000 4500 5000 5500 ...
6000 6500 7000 7500 8000 8500 9000 9500 10000 10500 11000 11500 ...
12000 12500 13000 13500 14000 14500 15000 15500 16000 16500 ...
17000 17500 18000 18500 19000 19500 20000 20500 21000 21500 ...
22000 22500 23000 23500 24000 24500 25000 25500 26000 26500 ...
27000 27500 28000 28500 29000 29500 30000 30500 31000 31500 ...
32000 32500 33000 33500 34000 34500 35000 35500 36000 36500 ...
37000 37500 38000 38500 39000 39500 40000 47342 48475];
% Varying Thrust to Weight with increasing altitude. Note the sea level RC
% is estimated to be in the upper 90's (ft/s), well over 5400 ft/min
% which is 3.6 times shorter than desired specification.
TWnew = (T./W0v2).*(rho_series./rhoS)
% Equations 5.116 and 5.113 (Anderson) to solve for RCmaximum with 2nd
% analysis wing loading and thrust to weight specifications. The first
% three lines below utilize the data series above to plot a graph of
% the RCmax of the aircraft according to altitude. The following two
% lines of code are used to calculate time to climb using the sea level
19. Appendix A
19
% values of the array. Linies 413 - 428 combine equations 5.116 and
% 5.113 and then incorporate the change in thurst to weight with
% respect to altitude change. The "combined" equation then set to a
% a specific value of RCmax. According to Anderson, the absolute
% and service ceilings occur when RCmax = 0, 100 ft/min respectively.
% This translates to 0, and 5/3 ft/s. When plugged in and solved, x and
% y yield the absolute and service ceiling densities. Looking in the
% density tables in (Anderson), a corresponding height is found and
% manually typed into Absolute_Ceiling and Servvice_Ceiling below.
% (Values are interpolated by hand). These values were added to the
% arrays above after the fact.
Z = 1 + sqrt(1 + (3./((LDmaxL.^2).*(TWnew.^2))));
RCmax = sqrt((WSclimb.*Z)./(3.*rho_series.*Cdo)).*(TWnew.^1.5).*...
(1 - (Z./6) - (3./(2.*(TWnew.^2).*(LDmaxL.^2).*Z)));
% t_climb_min is converted to minutes
RCmaxSea = RCmax(1,1)
t_climb_min = (Altitude(1,81) - Altitude(1,1))./(RCmax(1,1));
syms x y
AC = solve( sqrt((WSclimb.*(1 + sqrt(1 + (3./...
((LDmaxL.^2).*(((T./W0v2).*(x./rhoS)).^2))))))./(3.*x.*Cdo)).*...
(((T./W0v2).*(x./rhoS)).^1.5).*(1 - ((1 + sqrt(1 + (3./...
((LDmaxL.^2).*(((T./W0v2).*(x./rhoS)).^2)))))./6) - (3./(2.*...
(((T./W0v2).*(x./rhoS)).^2).*(LDmaxL.^2).*(1 + sqrt(1 + (3./...
((LDmaxL.^2).*(((T./W0v2).*(x./rhoS)).^2)))))))) == 0, x);
Absolute_Density = vpa(AC(1,:))
Absolute_Ceiling = 48000 + (48500 - 48000)*((Absolute_Density - .00040045)/...
(.00039099 - .00040045))
SC = solve( sqrt((WSclimb.*(1 + sqrt(1 + (3./...
((LDmaxL.^2).*(((T./W0v2).*(x./rhoS)).^2))))))./(3.*x.*Cdo)).*...
(((T./W0v2).*(x./rhoS)).^1.5).*(1 - ((1 + sqrt(1 + (3./...
((LDmaxL.^2).*(((T./W0v2).*(x./rhoS)).^2)))))./6) - (3./(2.*...
(((T./W0v2).*(x./rhoS)).^2).*(LDmaxL.^2).*(1 + sqrt(1 + (3./...
((LDmaxL.^2).*(((T./W0v2).*(x./rhoS)).^2)))))))) == 5/3 , x);
Service_Density = vpa(SC)
Service_Ceiling = 47000 + (47500 - 47000)*((Service_Density - .00042008)/...
(.00041015 - .00042008))
% Plotting and Marking Ceiling Data
int = 0:1:100;
xx = Altitude(1,82).*(int./int);
yy = Altitude(1,83).*(int./int);
plot(RCmax, Altitude,RCmax(1,83),Altitude(1,83),'rs',RCmax(1,82),...
Altitude(1,82),'ks')
hold on
plot(xx,'k')
plot(yy,'r')
legend('RC vs. Altitude','Absolute Ceiling','Service Ceiling',...
'SC Marker','AC Marker')
20. Appendix A
20
grid on
xlabel('RCmax (ft/s)')
ylabel('Altitude (ft)')
title('RCmax Vs. Altitude')
axis([0 100 0 50000])
% 2nd Analysis Stall Velocity
Vstalln = sqrt((2./rhoS).*WSn./CLadjust)
% Landing Distance, where grv is gravity, AA is approach angle, Vf is flare
% velocity, R is flight path radius,hF is flare height. Determined valu
% is appr. 61% of the specified value 4000 ft. Well within constraints.
grv = 32.2;
AA = 3;
Vf = (1.23).*Vstalln;
Rv2 = (Vf.^2)./((0.2).*grv)
hF = Rv2.*(1 - cosd(AA))
SA = (50 - hF)./(tand(AA))
SF = (Rv2.*sind(AA))
SG = j.*N.*sqrt((2./rhoS).*WSn./CLadjust) + ...
((j.^2).*WSn./(grv.*rhoS.*CLadjust.*Ur))
SGn = SA + SF + SG
% 2nd Analysis Takeoff Distance, appr. 29% of specified value 6000 ft.
SGT = (1.21).*WSn./(grv.*rhoS.*CLadjust.*TW(1,:))
RR = (6.96).*(Vstalln.^2)./grv
OB = acosd(1 - saT./RR)
SAT = R.*sind(OB)
TOD = SGT + SAT
WSn =
42.3747
WSclimb =
40.4869
TWnew =
Columns 1 through 7
0.2891 0.2849 0.2808 0.2766 0.2726 0.2686 0.2646
Columns 8 through 14
0.2607 0.2568 0.2529 0.2491 0.2454 0.2417 0.2380