Formula SAE-A: Design Score Sheet

Transcription

1 Formula SAE-A: Design Score Sheet JUDGING GROUP A B C D NUMBER OF JUDGES CATEGORY SCORE Concept, Integration & Management Team management, knowledge transfer, design goals, Engineering decision making vehicle level validation. Manufacturability & Serviceability Ease of assembly, manufacturing techniques, adjustable suspension / brakes / powertrain service access. Powertrain IC: Air / fuel delivery, power generation final drive. EV: Energy storage, distribution propulsion system(s). Electronics & Data Acquisition Control systems, power management, power distribution, wire harness, data acquisition data analysis. Mechanical & Composite Structures Primary structure, materials, load path analysis, stiffness, mechanical joints, composite construction validation. Safety & Ergonomics Restraints, Driver s cell integration, energy absorption, driving ergonomics, adjustability ease of in/egress. Suspension Tyre choice, dynamic hling, kinematics, spring & damper tuning, system friction, brakes development. Principles, contribution to dynamics / speed / efficiency, thermal control, integration development technique. Design Report Technical content, clarity quality of submissions. High performance appearance build quality. /0 /10 /0 /0 /0 /10 /0 /0 /5 /5 RAW SCORE TOTAL: /150 PENALTIES: - Notes: 1. Team(s) with the highest raw score awarded maximum competition points, with all others scaled proportionally.. penalties are applied after scaling.

2 Formula SAE-A: Design Scoring Process Judges will score each of the following criteria: CRITERIA WEIGHTING DESCRIPTION Process 0% Engineering project objective/constraint definition, planning evaluation Analysis 0% Research, benchmarking, integration, modelling iteration(s) of the product Validation 0% Execute, document review testing to show the design operates as intended Understing 0% Student(s) knowledge of the system being discussed meets industry stard Resources 0% Effective use of resources (financial, workshop, personnel, computation, etc.) Scores are determined using the below Rubric: RATING % RANGE DESCRIPTION Outsting The team has very high level of There is clear evidence of considerable original innovative work of high quality, including analysis or other evaluation. Substantial experimental numerical analysis had been undertaken. completed to a very high stard. Very Good The team has high level of Good The team has more than adequate level of Adequate The team has minimum level of There is clear evidence of considerable original work of high quality, reasonable innovation, including analysis or other evaluation. Some experimental /or numerical analysis had been undertaken. There is evidence of the team's ability to synthesise organise information in a useful critical manner. However, the team's work requires further experimental /or numerical analysis. completed to a high stard. completed to a reasonable stard. There is evidence of the team's ability to synthesise organise information in a useful critical manner. However, the team's work showed several shortcomings required substantial additional research /or analysis. The presentation results was free of error of a very high stard. The presentation results was free of error of a high stard, but some aspects could be improved. The presentation results was of a good stard, but required improvement in several key areas. The presentation results met the minimum level of competence, but required substantial overall improvement. Inadequate The team s work is deficient in one or more of the judged, shows substantial shortcomings in the results /or analysis. Failed 0-49 The team's work is so deficient with respect to one or more of the judged that it cannot be considered to have met the expected level of knowledge understing of the Formula SAE criteria. Notes: To achieve a rating (Outsting, Very Good, etc.), all description criteria must be satisfied, else the next lowest rating is to be given; e.g. drop to "Good" from "Very Good" if only achieving 3 out of 4 criteria. Judges can apply any percentage value within the range shown for the achieved rating, to grade performance establish relative performance of individual teams.

3 Formula SAE-A: Design Category Descriptions JUDGING GROUP CATEGORY SCORE Concept, Integration & Management Team management, knowledge transfer, design goals, Engineering decision making vehicle level validation. A B Team Management Knowledge Transfer Structured decision-making processes Sound understing of the vehicle level design trade-offs A structured breakdown of design goals from full vehicle level cascading down to component level Evidence of an appropriate design decisions being made for the resources available Evidence of a structured vehicle testing program with defined goals validated conclusions Innovativeness Unique Systems / Components? Innovative Material Use or Manufacturing Methods Team Rationale of Potential Performance Contributors Manufacturability & Serviceability Ease of assembly, manufacturing techniques, adjustable suspension / brakes / powertrain service access. Manufacturability Ease of Assembly Reasonable, Efficient Manufacturing / Assembly Technique Economic Prod. of 1000 Units? (drawings, photos of tools) Serviceability Suspension Adjustments (easy, precise?), wheel alignment (ease of adjustment / method?) Ease of Engine Service / Removal Ease of Brake Bias Adjustment Ease of Belt / Chain / Ratio Change Powertrain IC: Air / fuel delivery, power generation final drive. EV: Energy storage, distribution propulsion system(s). Fuel tank fuelling system Radiators coolant system Cooling system; sizing, thermal calc, heat rejection characteristics Engine intake exhaust systems Induction / Restrictor / Inlet Manifold Exhaust manifold / fundamental maths data, muffler selection criteria Fuel injection / Engine Management / Turbocharging / Supercharging Turbocharging / Supercharging - advantages? Engine, gearbox, final drive system Engine Lubrication Internal modifications to engine / is it a stressed member? Gear ratio / selection criteria / do they use all gears? Selector mechanism; manual / auto / assisted. Transmission type / any reduction in inertia Final drive / Differential selection / modified elements or off shelf. Differential / spool, drive shafts, any joint in the driven shafts Have they modified clutch, any integrated declutch system Test data / evidence Engine dyno Fuel economy Math data /0 /10 /0

4 B continued Electronics & Data Acquisition Control systems, power management, power distribution, wire harness, data acquisition data analysis. C Modules / ECUs (including display, dataloggers, etc) ECU selection: design considerations / reasoning / student design or 'off the shelf' / communication system (diagnostics) / packaging / serviceability Power Distribution / Management Power Distribution - relays / electronic management (FETs, diagnostics) / packaging / serviceability Protection:- fusing (strategy, sizing, type) / reverse battery protection / over under voltage considerations Power Supply - battery (type, sizing, packaging considerations) / charging system (capability, load calculations, load management) Wiring Design Connector wiring selection / loom layout mounting / appearance Design considerations - shielding / twisted pair / segregating circuits / grounding Documentation / Validation Schematics / architecture diagrams / validation plan results Data acquisition systems data usage Data Acquisition : Parameters measured - reasoning / flexibility to change / sensors used / calibration / logging rates / resolution Data Analysis: Tools used for analysis / benefit of data analysis / how team uses the data to learn improve / identify relationships between parameters Mechanical & Composite Structures Primary structure, materials, load path analysis, stiffness, mechanical joints, composite construction validation. Composites Safety Structure Deviations - Integration of composite components / panels / monocoque with metallic space frame / substructure / roll hoop etc. Correct use of adhesives, reinforcements etc. Understing of Heat Deflection Temperatures (HDT) material spec / targets, especially exposed surfaces Composite Constructions Number of manufacturing steps, avoidance of secondary bonds, single step cure of entire structure. Theoretical prediction subsequent test of monolithic swich structure performance, eg strength stiffness. Mechanical Design Explanation of Design Objectives Load paths, Stress/Strain Concentrations Component Sizing to Load Attachments (double shear? freeplay? neat design) Use of Analysis Tools (FEA, ADAMS, Algor, etc.) Simplicity/Elegance/Integration Bench /Lab Test Data Mechanical Joints (appropriate joints/ retention / housing methods) Steering System (suitable ratio, freeplay, efforts, uni-joint angles) Chassis strength stiffness Bending / Torsional Stiffness numbers (calc,meas.) Safety & Ergonomics Restraints, Driver s cell integration, energy absorption, driving ergonomics, adjustability ease of in/egress. Ergonomics safety: Cockpit Appearance Driving Position / Cockpit Comfort / Seat Support Control Function / Location / Ease of Use Adjustability for Drivers Sizes (seat, controls, pedals etc) Frontal / Side Impact Design (theoretical / measured.) Restraint Systems (head, belts, anchor points.) Ease of Ingress / Egress /0 /0 /10

5 D Suspension Tyre choice, dynamic hling, kinematics, spring & damper tuning, system friction, brakes development. Explanation of Design Objectives Tyres Tire / Wheel Size Type Justification Suspension / springs / dampers Susp. Kinematic Analysis (theoretical / measured) Susp./ Strg. Friction Assessment Damper Tuning Program (calcs, data) Vehicle hling dynamics Knowledge of C.G. location (calc., meas.) Test & Development Program (plan, methods) Brakes Brake Sizing / Bias Bar / Plumbing / Pedal Ratio Principles, contribution to dynamics / speed / efficiency, thermal control, integration development technique. Can teams show a basic understing of how aerodynamic principles contribute to their vehicles' performance (i.e. consideration of downforce, low drag use of ground effect) to improve hling, Vmax, fuel economy. Use of aero aids as a holistic or piece-meal approach i.e. Wings / panels designed independently to body / or well integrated into body design. Does the team underst the benefits of holistic vs piece-meal design approaches. Data / understing of aero principles, enhancement of vehicle performance including methodology, CFD / or testing, technique, accuracy, correlation, implementation innovation to introduce an aero advantage. Design Report Technical content, clarity quality of submissions. Concise technical introduction of overall vehicle concept Engineering accomplishments. High performance appearance build quality. Attractive? Paint / Finish Quality? High performance appearance? Build Quality Fit, finish, detail attention, welds, machine work /0 /0 /5 /5