Hear from our team of engineers, learn more about our cars and find out about our approach to the world of FSAE.
Formero has been a partner of Monash Motorsport for many years, and are renowned for their high quality 3D Printing services. Our aerodynamic wing profiles require end caps for assembly of the carbon fiber skins and to transfer loading to the mounting structure. They have to be lightweight, yet stiff enough to pass deflection rules. As such, end caps are highly important components of our car that enable our aerodynamic package to be suitably attached to the vehicle.
Read MoreThe overheating of our vehicle’s motors and inverters can cause permanent damage to the critical components within our powertrain. To effectively cool M23’s Fischer motors, we use custom cooling jackets designed by our engineers. Motor power delivery and feedback are also critical to the reliable functionality of our motors, and to ensure these aren’t interrupted, we utilise custom motor shrouds to strain-relieve these critical connections between components in the powertrain.
Read MoreIn autonomous driving, the motion planning subsystem is required to determine a feasible state and control trajectory to navigate the vehicle to perform a specific task. Kerry He’s thesis presents an implementation of a receding horizon planner (RHP) to perform motion planning for Monash Motorsport’s autonomous racecar to compete in the Formula Student Driverless competition.
Read MoreThe design of a path planning and control algorithm for a formula student vehicle is one of the key milestones to competing in driverless competitions. Adam Slomoi’s Final Year Project takes us back to the team’s beginnings for autonomous driving, from optimal race line computation to control.
Read MoreLet’s dive into some comparisons between the Baraja Spectrum-Scan™ LiDAR and our previous LiDAR solution with an emphasis on real-life on-track data and differences in approaches in our perception pipeline.
Read MoreDelivering on the challenge of manufacturing our most complex aerodynamic package yet would not have been possible without the help of C5 Systems and Austuf . The article highlights this partnership through which we can challenge ourselves to actualize complex aerodynamic packages such as M21’s.
Read MoreIn early 2021, as we continued to work from home, we depended more heavily upon digital platforms to develop both the team and our 2021 driverless-electric challenger. So our team saw a unique opportunity to deepen our knowledge of the tools at our disposal and put our rendering tool of choice, Keyshot, to the ultimate test.
Read MoreNext up on our blog series, we take a look at how Baraja has helped us with simplifying our autonomous systems pipeline through software and hardware integration. Tune in as Chris and Rashmidha take us through how low voltage integration and software-definable scan patterns that can be implemented seamlessly with Baraja’s continual support.
Read MoreIn 2016 Cameron Warne based his final year project on integrating existing models into an easy to use simulator that allows both current and future team members to make informed decisions and increase the cars performance. Read about the genesis of our computer modelling system in Cameron’s Final Year Project.
Tune in for the latest edition of our blog series where Head of Autonomous Systems, Jordan Esh, takes a deeper dive into the simulations and analysis that reinforced Baraja Spectrum-Scan™ as the right LiDAR choice for the team.
Read MoreTune in to the first edition of our brand new blog series, Baraja and Monash Motorsport, where Head of Autonomous Systems, Jordan Esh, highlights the key reasons that motivated our exciting new partnership.
Ryan Ockerby’s Final Year Thesis helped us to design our aerodynamics package with greater confidence and allowed for a greater number of designs and investigations. His project aimed at improving our aerodynamic package design process by using faster solving CFD simulations running in conjunction with highly complex cornering CFD simulations, quality wind tunnel modelling and data acquisition to improve on-track testing.
In 2019, our electric vehicle, M18-E, was retrofitted with sensors, computing units and actuators to become the first ever Driverless car we have produced, M19-D. Georgia Ovenden’s 2019 final year project contributes to the perception systems for our driverless FSAE vehicle.
Read MoreThis Final Year Thesis by Daniel Crowe sets out to design carbon fibre wheel shells and wishbones for the 2019 Monash Motorsport racecars. His work utilised composite materials, instead of Aluminium or Steel to ensure a lighter, stiffer and more reliable design of the wheel shells and wishbones.
This project includes a broad range of work and investigations into improving the understanding of and techniques involved in designing and fabricating a high-performance Formula SAE/Formula Student exhaust system.
Read MoreRigorous testing and data analysis play a vital role in the success of our numerous FSAE campaigns. Over the years, the team has depended upon an extensive testing schedule so that we can effectively capitalise on the limited time we have before competitions. Each test contributes to our confidence as a team, in both the cars and the drivers.
Read MoreIn 2019, we successfully implemented our first pair of carbon fibre composite monocoque chassis, replacing the tried and tested tubular steel space frame. The work presented in this report highlights this journey and is the culmination of over four years of development dating back to late 2014.
Read MoreVincent Chu’s Final Year Thesis outlines and clearly defines aspects of the Monash Motorsport brand, serving as a referential source for brand deployment.
Read MoreIn our pursuit to become Australia’s first team to compete with a driverless car, Michael Mattiske’s Final Year Project was essential as it established our perception and state estimation foundations.
Read MoreComputational Fluid Dynamics Workflow or ‘CFD’ Workflow is an integral element of the teams testing and simulation system. It allows the Dynamics department to compare results from past to current runs using graphs, tables, images and videos. Recently we have undergone a major upgrade to this workflow, making it fully automated.
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