06 July 2018 18:16

FSG Siemens Digital Twin Engineering Excellence Award

Category: Awards 2018, FSE Award, FSC Award

For the first time - at FSG ’18, Siemens PLM software is sponsoring the “FSG Siemens Digital Twin Engineering Excellence Award”, a 7.000 EUR award to recognize 2 teams which have used the most professional, innovative and thoughtful ‘Digital Twin’ engineering practices. ‘Digital Twin’ is the concept of a digital, simulation-oriented representation of the targeted product from the earliest concept stages of the design cycle all the way through to detailed design and on to fabrication, operation and maintenance with both feed-forward and feed-back between your comprehensive virtual model and your fabricated and raced - Formula Student racecar.

You can learn more about Digital Twin concept at:

5.000 EUR = 1st Place
2.000 EUR = 2nd Place

We’d like to see that your team has relied  on digital design and simulation models to guide the full product lifecycle from its early ideas to meet the race car goals and requirements, the functional/performance target-setting process, concept studies, design and verification by simulation and virtual testing and on into digitally-guided fabrication, operation and maintenance. In addition, ongoing and efficient change, issue and problem management processes are valuable to show.

Modern vehicles have rapidly increasing amounts of power-hungry on-board electronics, electrical and software complexity, as well as demands for aero efficiency for energy conservation. So we are also wanting to hear about topics such as the digital twin of the electronic and electrical distribution system and its associated wire-harness design, as well as the cooling and aero package design and analysis with CFD.  



General Conditions

  • FSG ’18 teams can apply for the Digital Twin award by submitting an application (max. 6 pages including figures) by August 6th, 2018, 23:59 CEST. You may include appendices with additional supportive information- but tell your core ‘Digital Twin’ story, in the 6 pages and reference where the appendices apply. Please upload your application via the FSG website => MyTeam => Events => Deadlines
  • You do not need to cover all engineering disciplines or digital engineering tool categories; tell us the most compelling examples of Digital Twin engineering excellence.
  • Five finalists will be selected by the Siemens judging panel for presentations in the team pits during the event by individual appointment. We’ll inform each finalist team personally, and also posted by FSG at the FSG Forum. Presenters may include up to 6 people. Our primary focus is on the Digital Twin concept, so there is no requirement to bring your racecar - you can bring parts or handouts for illustrating a Digital Twin story. There will be a screen for your laptop with HDMI cable. 
  • The award-winning team will be announced during the FSG award ceremony on Saturday night, August 11th. 
  • Use of Siemens software tools is very encouraged but not required.  Such as -NX- for 3D-CAD, CAM and 3D-printing, Fibersim for carbon composite design, -STAR-CCM+- & -FloEFD- for 3D-CFD, -NX-NASTRAN- for FEA, -VeSys/Capital- for wire-harness design, -Volcano- for CAN design/simulation, -CodeBench- for C code development, -PreScan- for Driverless track simulation, -Motorsolve- for custom electric motor design, -PADS Pro- for circuit board design, SystemVision for electrical simulation, - Amesim- for 1D-CFD and mechatronics simulation, and other advanced automotive engineering software tools.
  • For no-cost grants of Siemens PLM software for the tools in italic letters above, see: https://www.plm.automation.siemens.com/en/academic/forms/partner-program-grant.cfm
  • For Award  questions- or for grants of the other Siemens tools above: 
    Email to leigh.anderson(at)siemens.com

Rating Criteria – Digital Twin Thinking,
Digital Twin Engineering Process Excellence

  • You don’t need to show each of the following. These are examples to help you recognize the type of engineering thoughtfulness and process we’re looking to reward. The more compelling the better. A few compelling examples are preferred (vs a long list of less well explained examples).
  •  Explain the overall strategy/architecture process starting with the first concept of your car and simulations, other digital models or calculations that guided the architecture and key attributes of your car.
  • Show the maturity and completeness of your “Digital Twin” virtual design across all domains: such as mechanical, electrical, software, documentation for judges and team collaboration, fabrication, and racecar operations.
  • Explain how multi-physics simulation (including but not limited to CFD, FEM, MBS, Electrical, System simulation) was used to influence the design of your aero package, chassis or other aspects of the car. Did it drive trade-offs or innovations in other parts of your ‘virtual car’? 
  • Did your CFD simulations influence other disciplines such as electrical system, sensors, telemetry, actuators, or the drivetrain? Did you come up with some innovations using CFD simulations? Or what major insights did you discover when analysing cooling your engine or accumulator?
  • Explain the digital design of your car’s electrical system and wire-harness design. Did you innovate to modify/augment the car’s performance and/or endurance via electronics and wiring, especially relating to light-weighting, or innovative use of sensors and/or actuators? Did you virtually integrate your 3D-CAD chassis model with wire-harness layout to calculate correct wiring lengths? Crossing electrical and mechanical domains in one design process is a good example of Digital Twin. We are looking for well-developed electrical system & wiring harness designs including use of schematics, design-checking, electrical simulation, 3D CAD virtual integration, and a formal parts library. Did you use a professional software tool meant for this - or just Excel and Visio for your harness design?
  • Show your team’s ability to accurately predict your race car’s performance from simulation models, such as vehicle dynamics or lap-times. Did you use special sensors for measuring the car during race or testing conditions? How did the digital models and physical measurements evolve as you learned? Sensors? Telemetry? Feed-forward examples? Feed-back examples?
  • Explain how your car’s electro-mechanical design includes thorough and accurate digital models and simulation, including embedded software if used.
  • Have you made parts using 3D-printing/additive manufacturing (AM), or CAM to drive CNC machines, or other digitally-driven production such as composites part design (such as using carbon composite design software to drive a CNC ply-cutter?
  • Have you discovered performance or other problems that showed up in the physical car or physical parts, that you diagnosed the root-cause and solved back in the digital model of the car or parts, then validated the fix in the physical car? Or updated the digital model from physical data, (feed-back), that then guided improvement in the physical car (feed-forward)?
  • How did you keep track of your requirements and the data created along your design process? Did you use a product data management system (PDM), and/or requirements management software? What effort did you take to make sure every team member works on the most current status of any available data/models/documents?  PDM software helps you manage product data and process-related information in a unified database system. This information includes design data, models, parts information, manufacturing instructions, requirements, notes and documents. A PDM system provides solutions for secure data management, process enablement, and configuration/version management.



The pre-submission method application is open to Formula Electric and Formula Combustion teams participating at Formula Student Germany, 2018. We are looking forward to meet you and your insightful Digital Twin!

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