Development and Evaluation of Augmented Reality Learning Content for Pneumatic Flow: Case Study on Brake Operating Unit of Railway Vehicle

The Brake operating unit (BOU) of a railway vehicle is one the important systems for controlling braking train. Because this system uses compressed air, it difficult to understand and train system. existing education method involves learning pneumatic flow various control air in 2D circuit diagram based on maintenance manual. However, actual system, was learn effectively because flows 3D. In order solve these problems, improvement training technique using new 3D augmented reality (AR) performed. study, increase effect brake flow, simultaneously displaying model proposed. First, distance ratio simultaneous display can be determined proposed streamline matching variable calculation algorithm (SLMVC) that position animation duration as input variables. Second, avoid complexity 24 variables Particle System module Unity, an universal platform, continuously emission property correction (CEPC) output particle objects only 4 properties (e.g., start lifetime, speed, rate over time, delay). As result, following 6 different types BOU pressure could displayed AC, BC, SR, SBR, AS1, AS2). Therefore, staff complex flow. To verify usability developed content, survey NASA-TLX conducted targeting 60 staff. result comparison between Group A manual B AR perceived workload decreased by 28%. particular, frustration part 64% performance 62%, indicating content very good.