Augmented reality in operating roundness measuring machine / Muhammad Irsyad Zulfatah ... [et al.]

• Main Authors: Zulfatah, Muhammad Irsyad, Azizan, Muhammad Zakiyuddeen, Hussin, Norasikin, Mahmod@Wahab, Rohidatun
• Format: Book Section
• Language: English
• Published: Universiti Teknologi MARA, Kedah 2023
• Subjects: Educational technology; Learning. Learning strategies; Learning ability
• Online Access: https://ir.uitm.edu.my/id/eprint/85611/1/85611.pdf; https://ir.uitm.edu.my/id/eprint/85611/
• Institution: Universiti Teknologi Mara

This study will look into the development of Augmented Reality (AR) to enhance student in operating Roundness Measuring Machine. Some challenges that users especially students have problems when conduct the measurement of roundness using the roundness measuring machine. The roundness measuring machine is one of precision measuring devices for measuring the physical geometrical characteristics of the product. Measurements are defined by a measuring probe touch the surface of the product. Thus, the roundness measuring machine need to conduct properly. Currently, students are unable to understand and follow the machine’s standard operating procedure properly. Students are difficult to operate the machine due to a lack of information or knowledge. Most of the time, students need guidance in order to operate the machine. To overcome this limitation, this study proposed a method to guide the students how to operate the machine based on the use of AR with standard of procedures. The AR allows for machining simulation on an actual machine tool without need to apply machining rules, or apply theories which can lead in more precise technique. The newly developed method can assist the user in conducting the machine wisely. The effectiveness and performance of the AR system was checked. Thirty students have been selected to conduct the machine using the AR with and without audio. The result found the average time it takes the AR with audio group to finish a task is 14.79 minutes and without audio is take 22.08 minutes.