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Active safety and (ADAS) are now being introduced to the marketplace as they serve as key enablers for anticipated autonomous driving systems. Automatic emergency braking (AEB) is one ADAS application which is either in the marketplace presently or under development as nearly all automakers have pledged to offer this technology by the year 2022. This one-day course is designed to provide an overview of the typical ADAS AEB system from multiple perspectives.

The session focuses on innovations with foundation brake and apply system components (calipers, rotors, drums, bearings, manual and electric park brakes, and actuation). It addresses integration at all levels (pad to caliper, caliper to corner, corner and actuation to vehicle). Examples include but are not limited to: component design, performance enhancements, system sizing/configuration, drag reduction, pedal feel, mass reduction, and thermal management by new designs/innovative materials.

Recent discoveries and innovations in friction materials development are the session's focus. Presentations address paradigm shift expected in the future due to onset of vehicles with regenerative braking and related changes in performance of friction brakes. including the pad and rotor microstructure, chemistry and properties, surface treatments, environmentally aspects, and intrinsic physical property measurements.

The concept of Artificial Intelligence (AI) is currently being leveraged across several industries, and its applications are rapidly expanding. Although AI strategies have developed over several decades, it is only in recent years that their practical implementations have advanced to the forefront of disruptive technology trends. The automotive industry, in particular, stands to benefit immensely from AI, offering potentially limitless opportunities. However, it is crucial for the automotive sector to adopt AI with a thorough understanding of both its capabilities and limitations. This panel will explore the use of AI in Automotive Chassis engineering. Our expert panelists will discuss the current state of AI applications within chassis engineering, assessing both the potential and the challenges. They will also provide insights into the future advancements and limitations of this evolving technology. Learn more about the Panel

This session is seeking abstracts on how AI is impacting brake simulation and testing, materials selection and emissions. If you have expertise in the Fundamentals or use cases in braking for aircraft, trains, wind turbines or automotive please consider submitting an abstract for a peer reviewed paper or oral only presentation.