Altair Case Studies Auburn University Leverages HyperWorks to Optimize Racecar Design

	Auburn University Leverages HyperWorks to Optimize Racecar Design Altair

Auburn University Leverages HyperWorks to Optimize Racecar Design

Altair

Technology Category	Sensors - Autonomous Driving Sensors
Applicable Industries	Automotive Electronics
Applicable Functions	Product Research & Development Sales & Marketing
Use Cases	Smart Parking Vehicle-to-Infrastructure
Services	Testing & Certification
Challenge	Auburn University's Formula SAE team, with a history of designing and building formula-style racing cars, faced a significant challenge in optimizing their racecar design while adhering to constraints related to mass and SAE racecar specifications. The team aimed to improve the car's performance by focusing on components that promised mass reduction with equal or increased stiffness. The monocoque chassis was one such area of focus. The team aimed to reduce the mass while increasing the monocoque suspension stiffness to enhance the racecar's handling. However, achieving this design objective was not straightforward. The student team members had to consider concurrent development design goals and meet demanding build deadlines. Read More
About Customer	The Auburn University SAE Racing Team, founded in 1996, is dedicated to designing and building formula-style racing cars. The team has a 21-year history of successfully building 20 cars and participating in SAE-sponsored events in the United States, Germany, and Australia. Their current and future car designs feature a carbon fiber monocoque structure, combustion powertrain, and chassis control, and full aerodynamic surfacing. The team is divided into three system development areas - powertrain, chassis, electronics - each led by a lead engineer who manages a team of development engineers. All team members work closely with a faculty advisor and marketing team, led by a marketing director. The Auburn Team is affiliated with the College of Engineering Department of Mechanical Engineering. Read More
Solution	To overcome the design challenge, the Auburn Formula SAE Team utilized the HyperWorks suite of computational tools to implement a simulation-driven design process. HyperMesh was used to generate finite element models, and OptiStruct was employed to solve and optimize the design, focusing on optimizing the stiffness-to-mass ratio of components. HyperView was used to view and understand the optimized structure. For the monocoque suspension mass optimization, CAD geometry was initially imported into HyperMesh to create a meshed model. After assigning composite material properties to the primary monocoque structure and aluminum properties to the bonded end cap, design and non-design regions of the model were specified. Loads were input, and the maximum monocoque displacement was constrained to a maximum allowed value. A three-step OptiStruct optimization process for composite structures was then applied to minimize the monocoque volume. The optimized results were analyzed in HyperView, and a manufacturable geometry was created, which was subsequently evaluated using linear finite element analysis to ensure all design requirements were met. Read More Log in to view content
Contents

Technology Category

Sensors - Autonomous Driving Sensors

Applicable Industries

Automotive

Electronics

Applicable Functions

Product Research & Development

Sales & Marketing

Use Cases

Smart Parking

Vehicle-to-Infrastructure

Services

Testing & Certification

Challenge

Auburn University's Formula SAE team, with a history of designing and building formula-style racing cars, faced a significant challenge in optimizing their racecar design while adhering to constraints related to mass and SAE racecar specifications. The team aimed to improve the car's performance by focusing on components that promised mass reduction with equal or increased stiffness. The monocoque chassis was one such area of focus. The team aimed to reduce the mass while increasing the monocoque suspension stiffness to enhance the racecar's handling. However, achieving this design objective was not straightforward. The student team members had to consider concurrent development design goals and meet demanding build deadlines.

About Customer

The Auburn University SAE Racing Team, founded in 1996, is dedicated to designing and building formula-style racing cars. The team has a 21-year history of successfully building 20 cars and participating in SAE-sponsored events in the United States, Germany, and Australia. Their current and future car designs feature a carbon fiber monocoque structure, combustion powertrain, and chassis control, and full aerodynamic surfacing. The team is divided into three system development areas - powertrain, chassis, electronics - each led by a lead engineer who manages a team of development engineers. All team members work closely with a faculty advisor and marketing team, led by a marketing director. The Auburn Team is affiliated with the College of Engineering Department of Mechanical Engineering.

Solution

To overcome the design challenge, the Auburn Formula SAE Team utilized the HyperWorks suite of computational tools to implement a simulation-driven design process. HyperMesh was used to generate finite element models, and OptiStruct was employed to solve and optimize the design, focusing on optimizing the stiffness-to-mass ratio of components. HyperView was used to view and understand the optimized structure. For the monocoque suspension mass optimization, CAD geometry was initially imported into HyperMesh to create a meshed model. After assigning composite material properties to the primary monocoque structure and aluminum properties to the bonded end cap, design and non-design regions of the model were specified. Loads were input, and the maximum monocoque displacement was constrained to a maximum allowed value. A three-step OptiStruct optimization process for composite structures was then applied to minimize the monocoque volume. The optimized results were analyzed in HyperView, and a manufacturable geometry was created, which was subsequently evaluated using linear finite element analysis to ensure all design requirements were met.

Impact #1	The application of HyperWorks significantly helped the Auburn Team overcome many development challenges during the car development process. The simulation-driven design approach allowed the team to design, test, and validate single components before building an initial car prototype, leading to a significant reduction in the overall design time. Additionally, the use of HyperWorks provided team members with an opportunity to increase their knowledge of the HyperWorks suite, equipping them with tools that they can carry into their future professional engineering careers and preparing them to face real-world design challenges. The software enabled the team to reduce the component mass-to-stiffness ratio, thereby improving the car performance, and speed up development time, allowing for more detailed design evaluation.

Impact #1

The application of HyperWorks significantly helped the Auburn Team overcome many development challenges during the car development process. The simulation-driven design approach allowed the team to design, test, and validate single components before building an initial car prototype, leading to a significant reduction in the overall design time. Additionally, the use of HyperWorks provided team members with an opportunity to increase their knowledge of the HyperWorks suite, equipping them with tools that they can carry into their future professional engineering careers and preparing them to face real-world design challenges. The software enabled the team to reduce the component mass-to-stiffness ratio, thereby improving the car performance, and speed up development time, allowing for more detailed design evaluation.

Benefit #1	The optimization procedure resulted in a mass reduction of 50% from the baseline of their previous all aluminum design.
Benefit #2	The final design had a stiffness equal to that of the original design.
Benefit #3	The total chassis weight of the racecar was 51 lbs., exceeding the team mass savings goal by a considerable margin.

Benefit #1

The optimization procedure resulted in a mass reduction of 50% from the baseline of their previous all aluminum design.

Benefit #2

The final design had a stiffness equal to that of the original design.

Benefit #3

The total chassis weight of the racecar was 51 lbs., exceeding the team mass savings goal by a considerable margin.

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Overview

Auburn University Leverages HyperWorks to Optimize Racecar Design

Operational Impact

Quantitative Benefit