22-1 Design of UAV Systems Integrated performance modelc 2002 LM Corporation Expectations - You will understand how to apply parametric relationships to.

Slides:



Advertisements
Similar presentations
Lecture 10: Configurations Jason Mickey For AE 440 A/C Lecture September 2009.
Advertisements

Payload - Radius Performance Comparison. Profiles:
Lecture 3: Take-off Performance
Introduction to Propulsion
Rocket Investigation D. Crowley, Rocket Investigation Your task is to investigate what affects the maximum altitude a water rocket can reach As.
October 28, 2011 Christopher Schumacher (Team Lead) Brian Douglas Christopher Erickson Brad Lester Nathan Love Patrick Mischke Traci Moe Vince Zander.
Extremely Maneuverable UCAV
Guidelines Presentation. Aircraft Aim & Judging The aircraft needs to transport the mirror segments of the ESO European Extremely Large Telescope, being.
U5AEA15 AIRCRAFT STRUCTURES-II PREPARED BY Mr.S.Karthikeyan DEPARTMENT OF AERONAUTICALENGINEERING ASSISTANT PROFESSOR.
Lesson 28 Cruise Range and Endurance
JLFANG-LDS Light Dynamic Strikefighter Dr. James Lang, Project Advisor Aircraft Design by Team Bling-Bling Marcus Artates Connor McCarthy Ryan McDonnell.
Common Factor Analysis “World View” of PC vs. CF Choosing between PC and CF PAF -- most common kind of CF Communality & Communality Estimation Common Factor.
Oculus Superne. 2 System Definition Review Mission Objectives Concept of Operations Aircraft Concept Selection Payload Constraint Analysis and Diagrams.
Request for Proposal: Joint Strike Fighter for Australian Air Force JLFANG Black Knight 170 Aerospace Engineering Design I University of California, San.
1 Introduction to System Engineering G. Nacouzi ME 155B.
Review Chapter 12. Fundamental Flight Maneuvers Straight and Level Turns Climbs Descents.
44 th Annual Conference & Technical Exhibition By Thomas Hartman, P.E. The Hartman Company Georgetown, Texas Sustainable Chilled Water.
Takeoff Performance Jet Aircraft Performance
Overview of Chapter 6 Douglas S. Cairns Lysle A. Wood Distinguished Professor.
AE 1350 Lecture Notes #9.
Lecture 7: DESCENT PERFORMANCE
AIAA Hybrid Airliner Competition 2013 The Transporters.
 Model airplanes are sized down models of an aircraft  The calculations are easy and the importance is given to building of the plane.
20-1 Design of UAV Systems Air vehicle geometryc 2002 LM Corporation Lesson objective - to discuss Air vehicle geometry including … Fundamentals Design.
Parametric weight methods
Chapter 6 Production. ©2005 Pearson Education, Inc. Chapter 62 Topics to be Discussed The Technology of Production Production with One Variable Input.
Design of UAV Systems Putting it all together 24-1 Lesson objective - to show how to Put it all together With a focus on … The air vehicle Objectives Expectations.
System Design Design of UAV Systems Objectives
Lecture 5: Climb PERFORMANCE
Schedule (years) Design Optimization Approach for FML Wing Structure Background The aerospace industry is gaining significant interest in the application.
23-1 Design of UAV Systems Methodology Correlationc 2002 LM Corporation Objectives Lesson objective - Methodology correlation including … F-16 RQ-4A (Global.
The Supply Curve and the Behavior of Firms
Design of UAV Systems UAV System Design 26-1 Lesson objective - to complete the example UAV System Design Objectives Expectations - You will better understand.
18-1 Design of UAV Systems Propulsionc 2002 LM Corporation Lesson objective - to discuss Propulsion and propulsion parametrics including … Rationale Applications.
17-1 Design of UAV Systems Standard atmospherec 2002 LM Corporation Lesson objective - to discuss another UAV Operating Environment The atmosphere Expectations.
Structural Design Considerations and Airspeeds
15-1 Design of UAV Systems Air vehicle parametricsc 2002 LM Corporation Lesson objective - to discuss Air vehicle parametrics including … Rationale Applications.
100% of B-TOS architectures have cost increase under restrictive launch policy for a minimum cost decision maker Space Systems, Policy, and Architecture.
Module 4: Systems Development Chapter 12: (IS) Project Management.
Basic aerodynamics relationships
Ken YoussefiMechanical Engineering Dept. 1 Design Optimization Optimization is a component of design process The design of systems can be formulated as.
ECE 7800: Renewable Energy Systems
Air vehicle performance
7-1 Design of UAV Systems Sorties ratesc 2002 LM Corporation Lesson objective - to discuss Sortie rate analysis including … - Mission planning and preparation.
Final report and briefing
Mensa XE (Extra Efficiency) High Efficiency Family Airplane
HALE UAV Preliminary Design AERSP 402B Spring 2014 Team: NSFW Nisherag GandhiThomas Gempp Doug RohrbaughGregory Snyder Steve StanekVictor Thomas SAURON.
Design Chapter 8 First Half. Design Requirements and Specifications Payload Range Cruising Speed Takeoff & Landing Distance Ceiling.
FORS 8450 Advanced Forest Planning Lecture 11 Tabu Search.
DESIGN OF THE 1903 WRIGHT FLYER REPLICA MADRAS INSTITUE OF TECHNOLOGY CHENNAI - 44.
1. Mission Statement Design Requirements Aircraft Concept Selection Advanced Technologies / Concepts Engine / Propulsion Modeling Constraint Analysis.
1 Lecture 4: Aerodynamics Eric Loth For AE 440 A/C Lecture Sept 2009.
AVAT11001: Course Outline 1.Aircraft and Terminology 2.Radio Communications 3.Structure, Propulsion, Fuel Systems 4.Electrical, Hydraulic Systems and Instruments.
Introduction to IWA. The IWA is based on a patented, next generation design called the Internal Wing Aircraft. The concept brings three separate wings.
Law of Variable Proportions
Subsystem Level Design Review.  Project Review  System Level Changes ◦ Tail Dragger ◦ Airfoil Change and Discussion  Subsystem Selection ◦ Fuselage.
Chalmers University of Technology Elementary axial turbine theory –Velocity triangles –Degree of reaction –Blade loading coefficient, flow coefficient.
Written by Changhyun, SON Chapter 5. Introduction to Design Optimization - 1 PART II Design Optimization.
AE 2350 Lecture Notes #9 May 10, 1999 We have looked at.. Airfoil aerodynamics (Chapter 8) Sources of Drag (Chapter 8, 11 and 12) –Look at the figures.
VEHICLE SIZING PDR AAE 451 TEAM 4
Design of UAV Systems Overall schedule 1/17 Course introduction
Preliminary Wing Sizing
PROPULSION PDR 2 AAE 451 TEAM 4
Airfoils and Simulation
Matching of Propulsion Systems for an Aircraft
Civil jet aircraft performance
AE 440 Performance Discipline Lecture 9
Aether Aerospace AAE 451 September 27, 2006
Airfoils and Simulation
Airfoils and Simulation
Presentation transcript:

22-1 Design of UAV Systems Integrated performance modelc 2002 LM Corporation Expectations - You will understand how to apply parametric relationships to an overall air vehicle Lesson objective - to integrate the individual air vehicle parametric relationships into an overall …. Integrated performance model and show how it can be applied to estimates of... Breguet range and endurance and typical design problems

22-2 Design of UAV Systems Integrated performance modelc 2002 LM Corporation During pre-concept design, the objective is not to come up with the best design but to identify the base range of design options (including their size, weight, cost, risk and schedule) and to define achievable requirements -If we do not employ a reasonably accurate and consistent comparison process, invalid selections could be made on the basis of inconsistent, hasty or immature assessments During conceptual design, the objective is similar but focuses on finding the best design and design features -This also requires use of an accurate and consistent comparison process to ensure viable design decisions We now have the data and component methodologies to do integrated pre-concept and conceptual design comparisons for subsonic IC, TBProp and TBFan UAVs -Including simple geometry models that integrate key configuration design features with the performance models to ensure physical constraints are not violated Design objectives

22-3 Design of UAV Systems Integrated performance modelc 2002 LM Corporation Concept exploration Exploring a design space is an important part of the concept evaluation process - Typically, a wide range of concepts are drawn, analyzed and compared and a few are selected for more study - Configuration designers sit in the middle of this process and are skilled at laying out configuration study matrices to explore the most important design and operational issues - They typically use specialized design and analysis tools that minimize the hand labor required to explore these options - Students, however, seldom have such tools and configuration exploration becomes a time consuming process of draw-analyze-discover problems-redraw- reanalyze and very few options are really explored We can bypass this laborious process by applying spreadsheet analysis tools to concept exploration

22-4 Design of UAV Systems Integrated performance modelc 2002 LM Corporation Sizing vs. exploration The term “sizing” is typically used to describe the process one goes through to calculate air vehicle size to meet design requirements - This is basically what an integrated spreadsheet model will do - We input requirements and it outputs size and weight - But because it rigorously maintains proper geometric relationships as it adjusts to changing requirements, it can also be used to explore concepts - Most sizing programs don’t do this, they are based on geometry inputs not internal geometry models

22-6 Design of UAV Systems Integrated performance modelc 2002 LM Corporation Comparison approach Configuration comparisons need to be based on accurate and consistent data - We have data of both types - Our spreadsheet models are rigorously consistent but of unknown accuracy - Our parametric data is accurate by definition but of questionable consistency - A combination of the two will give us what we need to compare the candidate configurations We will start by calculating performance against a consistent set of requirements - Range, takeoff distance, rate of climb at altitude, etc. Then we compare our results to parametrics - There will always be differences or issues to resolve Finally we will go back to our models to assess the impact of the differences or issues on the concepts

22-5 Design of UAV Systems Integrated performance modelc 2002 LM Corporation The design process starts with definition of a “starting baseline” that meets mission requirements -The baseline objective is to define a solution that works so that it can serve as a basis for comparison -Typically, starting baselines are conventional in configuration and employ state-of-the-art technology -Later we can study more advanced approaches and compare the relative benefits and risks The TBProp starting baseline selected in Lesson 15 generally meets these requirements -There is little about it that shouldn’t work -The speed, required endurance and technology content are well within TBProp state-of-the-art -One exception is the speed required at or below 10Kft -This could be a challenge for long endurance aircraft Baseline definition

22-7 Design of UAV Systems Integrated performance modelc 2002 LM Corporation Modeling approach The configuration is described in both absolute and relative terms - Payload weight, volume, number of engines and fuselage diameter are described in absolute terms (forebody, aftbody and length are relative to diameter) - Aero and propulsion parameters (Cfe, e, Fsp0, f/a, etc.) are defined as absolute values - Everything else (wing, tail area, engine size, nacelle size, etc.) is defined relative to a design, weight or performance parameter (AR, W0/Sref, BHp0/W0, Sht/Sref, BHp0/Weng, Waf/Sref, UWW, etc.) Missions are described in absolute terms (taxi and takeoff times, operating radius, landing reserves, etc.) -One is the “design” mission, the other a “fall out” -The UAV is sized or “scaled” (sc) to the design mission -The other mission is flown with a “fixed” (fx) air vehicle

22-8 Design of UAV Systems Integrated performance modelc 2002 LM Corporation Performance calculations Performance calculations are based on a generic, unrefueled loiter mission which assumes…. -Equal cruise out plus climb/cruise back distances, constant cruise speeds (Vcr) and loiter altitudes (Hlo) assumed ; no outbound cruise input as 0 (minimum cruise back is set equal to climb dist.) -Equal length ingress/egress penetration distances, Vpen and Hpen assumed; no ingress/egress input as 0 -Combat assumed to follow ingress, combat defined by minutes at max thrust; no combat input as 0 -Payload drop follows combat; no payload drop = 0 Fuel remaining after cruise, ingress/egress, combat, landing loiter defines operational loiter time available The model also calculates max range and endurance -Calculated at initial cruise/pre-landing loiter weights -Assumes mid-mission payload drop

22-9 Design of UAV Systems Integrated performance modelc 2002 LM Corporation Mission definition 0Engine start 1Start taxi 2Start takeoff 3Initial climb 4Initial cruise 5Start pre-strike refuel 6End pre-strike refuel Start cruise 7Start loiter 8End loiter, start cruise 9Start ingress 10Combat 11 Weapon release 12 Turn 13Start egress 14End egress, start cruise 15Start post-strike refuel 16End post-strike refuel 17End cruise 18Start hold 19End hold Notation Border - Standoff Border - Loiter/Penetrate Border - Penetrate/Loiter Standoff - Distance from loiter or combat to border (+/-) Standback - Distance from refuel to border Ingress - To target at penetration speed Egress - From target at penetration speed Range (Rge) = 2*Radius(R) Terminology

22-10 Design of UAV Systems Integrated performance modelc 2002 LM Corporation Spreadsheet approach Three (3) spreadsheets (IC, TBP and TBF) are available, each of which has similar modules that calculate data needed to assess performance including: -A bottoms-up weight model (Worksheet name = Wt-iter) -A geometry model that adjusts its configuration for each weight iteration (Name = Geom-iter) -It also calculates volume and Swet based aero & weights -2 atmosphere models (Names = Atmos-sc and Atmos-fx) -Each calculates atmospheric properties for one mission -2 propulsion models (Names = IC/TBP/TBF-sc and -fx) -Each calculates engine performance for one mission -A mission performance module (Name = Mperf) There is also an input worksheet for most (but not all) independent variables -Most variables are input via worksheet Overall, but some are input via worksheet Mperf - Mperf variables are used to converge the overall solution

22-11 Design of UAV Systems Integrated performance modelc 2002 LM Corporation Model versions Previous versions of the spreadsheet model held fuselage size constant - Everything else (wing, tails, engine size,etc) varied as the configuration adjusted to individual input values Airframe weights were calculated two ways - The bottoms up weight worksheet calculated overall weights using an input value of Waf/Sref - The geometry model calculated another value of Waf/Sref from wetted areas and input unit weights -Input and output values of Waf/Sref had to be hand iterated to convergence (easy but time consuming) - Then volume required vs. available was hand interated A new version of the spreadsheet internally iterates weight, geometry and volume but it is developmental -You will need to check the numbers carefully -The description that follows is for the latest version

22-12 Design of UAV Systems Integrated performance modelc 2002 LM Corporation Starting solution A first pass calculation is made to get started -Input values of FF, T0/W0 or Bhp0/W0, etc and input (default) gross weight (W0) and fuselage diameter (Df) are used by the bottoms-up weight worksheet (Wt-sc) to make one weight iteration -Outputs include W0, Wf, Weng, Wlg and Wsys -Sref is calculated using an input value of W0/Sref -Component weights and input payload, fuel and subsystem densities are used to calculate fuselage volume required -The outputs are passed to the geometry worksheet (Geom-sc) where wetted areas and fuselage diameter are calculated and then passed back to Wt-sc -This process continues until weight and volume converge -The converged wetted areas are then passed to the mission performance spreadsheet (Mperf) and used to generate aerodynamic coefficients

22-13 Design of UAV Systems Integrated performance modelc 2002 LM Corporation Starting solution – cont’d Converged weights are also used by Mperf to calculate an engine scale factor (ESF) or thrust multiplier -The propulsion worksheets generate thrust and fuel flow for a fixed size engine -ESF is defined as Shp0 or T0 for the scaled vehicle ÷ the default engine model (Shp0scale or T0scale) or ESF = ((Shp0/W0)*W0/Neng)/Shp0scale - We scale the propulsion module Shp or Ta values by multiplying them by ESF. No adjustment is needed for SFC or TSFC since our proplusion model is not size dependent Worksheet Mperf then uses all of the inputs to do a complete mission analysis by segment from engine start through landing -Results are shown in column B of worksheet Mperf -And they may be totally inadequate!

22-14 Design of UAV Systems Integrated performance modelc 2002 LM Corporation Performance convergence Inadequate performance shows up in many forms, e.g. - Mission range may be short - Climb rate may be inadequate (even negative) - Cl may be too high (exceeding stall margins) Worksheet Mperf requires that you to make new inputs to correct these deficiencies - For example, increase fuel fraction (FF) to increase range, increase T0/W0 to improve climb rate, change aspect ratio to reduce drag (and increase weight), increase speed/reduce altitude to reduce cruise Cl - These values are adjusted by hand until a satisfactory solution is achieved When convergence is achieved, it is important to ensure there are adequate (and consistent) margins such as residual ROC, T-D and stall margin - Bhp0/W0 or T0/W0 is further iterated to achieve the desired level of consistency

22-15 Design of UAV Systems Integrated performance modelc 2002 LM Corporation Secondary mission Once the model has converged to an acceptable level of performance for the design mission…. -The solution is passed to the “fixed” model (Col C, Mperf) where mission performance is calculated with size and geometry fixed - The primary independent variables are fuel and payload but you can modify some of the propulsion variables to support fixed airframe size engine trades -But the primary purpose of the “fixed” model is to perform alternate mission performance assessments -Varying fuel, payload and mission parameters -During conceptual design this feature can be used to run performance for a wide range of missions for the preferred design

22-16 Design of UAV Systems Integrated performance modelc 2002 LM Corporation Spreadsheet example Operational loiter (hrs) Loiter equiv dist (LED) Dist to clmb+cruise200 Maximum cruise range (nm) Climb+cruise w/HW169 Max cruise range w/HW Max Endurance Df9.009 Waf/Sref - geom Waf/Sref b86.3 Df/b0.104 W W0/Sref FF Wfuel (total)7558 Wing 50 ppcf4541 Wpay10000 Wpay (dropped) WE Bhp0/W TOP Bhp0/W0 req'd0.123 Bhp04579 Scaled Fixed

22-17 Design of UAV Systems Integrated performance modelc 2002 LM Corporation Parametric comparisons We should always test spreadsheet results against parametric data to make sure they are reasonable, e.g. -Below are Waf/Sref examples for regional TBProp and business jet models. The TBProp looks good but the Biz Jet is conservative - an airframe weight factor of 0.85 will correct it Similar comparisons should be done for aerodynamic and propulsion estimates Initial Final

22-18 Design of UAV Systems Integrated performance modelc 2002 LM Corporation Wing design -There are two primary wing options to reduce size and weight - Increase wing loading for reduced wing area, wing weight and wetted area and higher Clcr - Increase aspect ratio (AR) for improved LoD - Practical limits - Increasing W0/Sref or AR will improve cruise performance until some constraint (e.g. takeoff distance or thrust available) changes the trend - In reality there are other constraints (e.g. wing flutter) that will limit AR and wing loading (W0/Sref) - To ensure that we don’t stumble into one of them, we should do our optimization within known limits for the configuration type. E.g. for BizJets, typically W0/Sref ≤ 80 and AR ≤ 14 Other considerations

22-19 Design of UAV Systems Integrated performance modelc 2002 LM Corporation Aerodynamics - Our model keeps fuselage size and payload fixed - When we optimize the overall vehicle by increasing wing loading we change fundamental area ratios - If we increase the regional TBProp W0/Sref by 50%, Swet will drop by 25%, Swet/Sref will increase by 40% and LoDmax will decrease by 18%* - To maintain LoD as we reduce Sref, AR has to increase - Another constraint is lift coefficient for LoDmax**. As we increase AR in order to maintain LoD, we quickly reach a point where the Cl required gets too close to Cl-stall (≈1.2) * LoDmax ≈ 0.5*sqrt((  *e*AR/Cfe)*(Swet/Sref)) ** Cl(LoDmax) = sqrt (  *AR*e*Cfe*(Swet/Sref)) Typical stall speed margin > 1.25; HALE vehicle stall margin < 1.1 Considerations cont’d

22-20 Design of UAV Systems Integrated performance modelc 2002 LM Corporation Considerations cont’d Airframe - When we try to reduce wing area while keeping fuselage size fixed, we also change fundamental area ratios - Recall that wing weights per unit reference area (Sref) run about two times fuselage unit weights per unit Swet - As we reduce wing size relative to the fuselage, therefore, overall airframe unit weight increases. For example …. - If we increase baseline W0/Sref by 50%, Waf/Sref should increase about 30% - You can see this effect in the parametric weight data

22-21 Design of UAV Systems Integrated performance modelc 2002 LM Corporation Technology considerations We can also use our spreadsheet methods to evaluate technology impacts, e.g. using composites to reduce airframe weight (which cost more) to see if we get payback in terms of reduced overall empty weight - Example 25% airframe weight reduction at 35% cost increase (Project RAND, Advanced Airframe Structural Materials, R-4016-AF) - We can capture this effect by putting a 0.75 multiplier on airframe unit weight and a 1.35 multiplier on airframe cost per pound We can also see a small cross functional impact - Propulsion - Aero Aluminum Composites

22-22 Design of UAV Systems Integrated performance modelc 2002 LM Corporation Expectations You should now understand Integrated geometry and performance parametrics Where they come from How they are used The limits of their applicability

22-23 Design of UAV Systems Integrated performance modelc 2002 LM Corporation Intermission