International Conference on Applied Mechanics and Industrial Systems (ICAMIS-Oman-2016), 6-8 December 2016, Muscat, Oman Full Paper Dynamic analysis of an LMP1-H racing car by coupling telemetry and lap time simulations Albert Boretti a,* , Andrew Ordys a and Sarim Al-Zubaidy a a Military Technological College, Muscat, OMAN * Corresponding author: E-mail address: a.a.boretti@gmail.com. Abstract The paper reports on the use of a Computer Aided Engineering (CAE) tools computing race car dynamics plus telemetry data within an undergraduate teaching and learning (T&L) environment. The simple solver of the Newton’s equation of motion permits students to appreciate the role of combustion engine, kinetic energy recovery system, friction brakes, tires and aerodynamic drag and lift forces have on the dynamic of the car covering one lap of a race track. Keywords: Lap time simulations; Telemetry; Teaching and Learning; Racing Cars; Dynamics 1. Project based learning in BEng (Hons) engine, powertrain and vehicle modules The Military Technological College (MTC), Muscat, Oman, is a new institute that was established in 2013. MTC‟s vision is to develop and adopt internationally recognized engineering programs with high caliber education that will meet the requirements of specific military services and also assist the development of Oman [10]. This paper examines the integration of engineering programs with training need analysis. MTC offers military and academic training, and runs engineering degrees that have been validated by the University of Portsmouth (UoP), UK since September 2014. The core building-blocks of the MTC BEng (Hons) program are, problem-centered learning, upside-down curriculum, mathematics in context, design orientation, combined simulation, training and laboratory studies. The strategy adopted in designing the program is suitable for providing the students with lifelong transferable skills [10]. Specific engine, powertrain and vehicle modules are included in the BEng (Hons) offer. Integrated Computer Aided Design (CAD), Computer Aided Engineering (CAE) and Computational Fluid Dynamic (CFD) activities have been designed to be included in these modules to capture students’ attention and provide state-of-the-art teaching & learning (T&L) experiences. 2. Telemetry and lap time simulations in race car development The optimization of racing cars is performed to achieve best lap times through a complex process involving computational and experimental activities. Coupled telemetry [1, 2] and lap time simulations [3, 4, 5, 6, and 7] are an important step of this development. Here Optimum Lap [7] is used to obtain a reasonably accurate estimation through a simple vehicle dynamic simulation of the engine power and torque curve from the telemetry data of an Audi R18 covering one lap of the 2016 Le Mans race. The basic Optimum Lap is much simpler than the most part of today’s lap time simulators. By reducing the vehicle to its most fundamental components, a racing car is defined with only few parameters representing a specific aspect of the car such as engine, tires and suspension, aerodynamics and powertrain. This makes easy to identify the effect of one parameter such as the engine power and torque curve will have on the vehicle’s performance. The activity is aimed to set up best practices for aerodynamic simulations appreciating the need of the best trade-off between drag and lift during undergraduate design activities to create products with superior aerodynamic performance. Optimum Lap offers a range of graphs that will help validate it to measured numbers. Data from Optimum Lap are exported for use in other analysis tools such as Excel and MATLAB [8]. The kinetic