University of California, Irvine – UCI Team Caddyshack

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University of California, Irvine UCI Team Caddyshack Slide 2 The UCI AIAA student chapter participates in the annual AIAA Design Build Fly (DBF) competition. This competition gives the engineering students a chance to apply classroom knowledge, gain hands on skills, and experience an industry level project-development from conceptual design to building and testing an optimized final product. Over the past 6 years this project has grown substantially in size and skill with the help of previous DBF students, currently working in the aerospace industry, who meeting with the current team weekly. Slide 3 Introduction Team Organization 2011 Competition Conceptual Design Preliminary Design Detailed Design Manufacturing Testing Expected Final Performance Slide 4 Project Manager Kamil Samaaan Report Lead: Giuseppe Venneri Patrick Lavaveshkul Semir Said Westly Wu Byron Frenkiel CAD Lead: Patrick Lavaveshkul Kerchia Chen Sothea Sok Angela Grayr Erica Wang Chief Engineer Giuseppe Venneri Aerodynamics Lead: Curtis Beard Rayomand Gundevia Thuyhang Nguyen Anthony Jordan Max Daly Propulsion Lead: Kevin Anglim Kasra Kakavand Khizar Karwa Alexander Mercado Yi-lin Hsu Structures Lead: Hiro Nakajima Kurt Fortunato Gagon Singh Kevin Koesno Michael Gamboa Payload Lead: Jacqueline Thomas Semir Said Westly Wu Stability and Control Lead: David Martin James Lewis Giuseppe Venneri Test Flight Coordinator Alexander Mercado Public Relations Chen Weng Slide 5 Aerodynamics: Computes flight characteristics and necessary wing dimensions. Propulsion: Analyzes propulsion system to find best motor, propeller and battery combination. Structures: Optimizes load-bearing components and maintains a weights build-up of the aircraft. Payload: Designs and manufactures steel payload and restraints for the payload and aircraft. Stability & Control: Ensures aircraft meets S&C standards and works closely with aerodynamics to predict flight performance. Slide 6 Competition consists of 3 missions: Mission 1: Complete as many laps as possible in a 4-minutes. time frame (M 1 = N laps /N max ) Mission 2: 3 laps with a steel bar payload. (M 2 = 3x(Payload weight/Flight weight)) Mission 3: 3 laps with a team-selected quantity of golf balls. (M 3 = 2x(N balls /N max )) Slide 7 Constraints for 2011: Battery weight: lb 20 amp slow-blow fuse Aircraft must fit in a commercially-available carry-on suitcase. L + W + H = 45 inches (no dimension can exceed 22 in.) Suitcase must include entire flight system, including aircraft, battery and all required parts and tools. Golf balls are regulation sized and the steel bar payload dimensions are constrained: 3 in. width x 4 in. length minimum. Aircraft must be hand-launched. Slide 8 Sensitivity Analysis Configuration Figures of Merit Aircraft Configuration Subsystems Selection Motor Position Landing Methods Yaw Control Wing Attachment Methods Payload Configuration Final Configuration Slide 9 The objective of this analysis is to identify the mission parameters that have the largest impact on the score. A maximum of 64 golf balls and 9 laps were the benchmark values, determined using the data from past DBF competitions. Thrust and drag models were used in a simulation program to design hundreds of planes and perform this analysis. Mission 1 favors a small plane and payload with a large propulsion system. Missions 2 and 3 favor a large plane with a high wing loading. Slide 10 In order to select an aircraft configuration, a scoring system based on figures of merit was produced. Each was weighted based on results of the scoring analysis: System weight (35%) L/D (20%) Cargo space (15%) Maneuverability (10%) Manufacturing (10%) Hand launch (10%) Slide 11 Mono Plane- (Conventional) Relatively easiest to design and build. Known comparative values for performance. Relatively heavy configuration not optimized for specific competition. Flying Wing Efficient use of space. Lack of unnecessary elements decreases weight. High L/D Significantly less stable and more difficult to manufacture. Delta Wing Fly at high angle of attack. Allow additional cargo placed in wing. More unstable than a conventional and somewhat more complex to design and manufacture. Biplane Slightly more stable and higher structural strength. Much heavier and unnecessary additional elements. FOM Weight Conventional Aircraft Flying WingDelta WingBiplane System Weight35021 L/D20010 Cargo Space150 0 10 Stability100-2 1 Manufacturability100 Hand Launch100 0 Total10005030-65 Final Decision: Flying Wing Would be able to hold a maximum amount of cargo using the lifting surface as the payload bay without a significant drag penalty. Slide 12 Tractor- Lightweight, higher efficiency and less dangerous hand launch. Pusher- greater lift due to lack of prop- wash, limits the maximum amount of sweep and a dangerous hand launch. Double Tractor- Smaller propellers, increased cargo space in center, less dangerous hand launch, increased weight and difficulty in locating the CG. Push-Pull- Increased weight, limits maximum sweep and provides a more dangerous hand launch. FOM Weight Single Tractor Single Pusher Double Tractor Push-Pull System Weight4500 Drag20010 Hand Launch150-21 Stability1000 Cargo Space10012 Total1000-10-30-95 Slide 13 Belly Landing- Low weight, low drag, would be difficult to hand launch and vulnerable to fatigue. Skid/ Handle- Improved hand launch, increased structural support, potential additional storage space and slight increase in weight and drag. Skid & Wire- Decreased stopping distance, minor increase in weight and increase in drag. Tricycle- Reliable and high strength, however significant increase in weight, drag and difficulty of hand launch. FOM Wt Belly Landing Handle/ Skid Skid and Piano wire Tricycle System Weight450 -2 Drag2000 -2 Hand Launch1502-2 Stability100012 Cargo Space100200 Total10005-70-140 Slide 14 Winglets- Reduced drag, light weight and provides yaw stability. Wingtip rudders- Increased pilot control and increased weight. Aft Vertical tail-Greater moment to correct yaw and significant increase in weight. Split Flaps- Provides only a minor increase in weight, complex and difficult to implement correctly and cause and increase in drag. FOM WeightWinglets Wingtip Rudders Aft Vertical Tail Split Flaps System Weight 450-2 Drag25000 Hand Launch1500 0 Stability1501 20 Total1000-30-100-45 Slide 15 Fully enclosed internal payload compartment- Less drag and a lower weight. Requires a larger t/c airfoil or a larger aircraft. Fuselage (BWB) style compartment- More efficient method of cargo placement near the Center of Gravity, increased drag and difficulty to manufacture. Slide 16 Slide 17 Design and Optimization Programs Design Methodology Mission Model Aerodynamics Airfoil Selection Wing Sizing Propulsion Sizing Drag Lift Stability and Control Mean Aerodynamic Chord Winglets Slide 18 SolidWorks: used to model aircraft prototypes and to help determine airfoil selection XFOIL: Used to analyze possible airfoil choices for aerodynamic characteristics Microsoft Excel: Used extensively for data analysis, storage and graphing AVL: Used for flight-dynamic analysis and to ensure overall stability of the aircraft MATLAB: Used to create an optimization program Slide 19 The Aerodynamics team planned and organized the design process into several design steps outlined in the flowing diagram. A conceptual design is produced using the sensitivity analysis results. A preliminary design is developed using the conceptual design results and initial estimates. An optimization program is developed in Matlab to model the performance of a design for all of the missions. Several iterations of optimizing, building and testing are done to produce a high performance aircraft. Slide 20 The mission profile was modeled using for loops and while loops in MATLAB. The aerodynamic and propulsion forces were computed for every loop- iteration to determine the change in position and velocity of the aircraft during that period of time. The program assumed some initial conditions for takeoff such as hand launch velocity and wind conditions. The mission model program computes: the energy used the number of laps completed in 4 minutes The maximum payload capacity a design could carry. The total flight score is computed for several designs which resulted in an optimized design. Slide 21 The majority of airfoils that were considered were the reflex type for our flying wing. Studies were done using XFOIL and SolidWorks to determine which airfoil best suited our needs. Coefficient of moment vs. angle of attackNACA 4-digit symmetric series study Slide 22 Wing loading was optimized based on the total flight score using our mission profile MATLAB program. The figure to the right shows a plot of the total drag as a function of the aspect ratio for mission three during takeoff. Slide 23 Battery Selection Considered several different battery types and the capacity-to-weight ratios. A mission profile was used to determine an estimate of the amount of energy needed to complete each of the missions. Motor Selection Based on the battery and the current limitation of 20A, the maximum power the battery could supply to the motor is 300 W. Propeller Selection Pitch-High pitch performs better at high speeds while low pitch performs better at low speeds. Diameter- Larger diameter= more thrust and more power required from motor. o Mission 1: High pitch small diameter. o Missions 2 & 3: Lower pitch and larger diameter. BatteryCapacity mAhAh / oz Redicom 5001.56 Nimh 7001.75 Elite 1500 15001.92 Elite 1700 17001.7 Elite 2000 20001.72 Elite 2200 22001.44 Elite 3300 33001.71 NameWeight oz Kv RP M/V Max Current Amp Power W Resist ance Hacker A30-14L 4.6800354900.038 Hacker A30-12L 4.6 100 0324000.041 Hacker A30-10L 4.8 118 5354500.023 Hacker A30-8XL 5.5 110 0356000.015 Slide 24 The drag was computed using the equivalent flat plate area method. Slide 25