A mobile augmented reality system to support machinery operations in scholar environments

Augmented Reality (AR) is a recognized technology having a great potential to enhance the cognitive learning process. In this paper, a mobile AR system is proposed which helps in the understanding of resistive electric circuits for undergraduate engineering students. The designed system employs a smartphone, a measuring instrument, and a resistive circuit on a breadboard. The smartphone captures a photograph of the electric circuit and receives data from the measuring instrument (current and voltage) to calculate theoretical values and generate a layer of virtual objects which is then merged with the original image and displayed on the screen of the smartphone. In order to display the AR, a markless method is developed for a typical circuit for identifying resistors in a circuit and set virtual objects over it. The developed circuit displays (via AR) the theoretical current, voltage, power, and their measured values, as well as the error for each parameter. Technical efficiency of the developed system is 98%. Additionally, a satisfaction qualitative study is presented.

Section: Field Applications/referencementioning

confidence: 99%

Handheld augmented reality system for resistive electric circuits understanding for undergraduate students

Reyes-Aviles

Avilés‐Cruz

2018

“…Scientific literature reports an increasing interest for the development of AR applications in the education field. AR has been successfully implemented in various teaching and learning domains, such as medicine, biology, mechanical engineering, electromagnetism, and geometry .…”

Section: Related Workmentioning

confidence: 99%

“…Monroy Reyes et al developed an AR system to support risky machinery operations in academic manufacturing environments. The system was designed to guide unexperienced students in the use of machinery, by providing them with virtual information while handling a lathe and a milling machine in a university laboratory.…”

Section: Related Workmentioning

confidence: 99%

Enhancing mechanisms education through interaction with augmented reality simulation

Wang

Ong

Nee

2018

Computer simulation has been used pervasively to help students understand deeply and visually the theoretical bases of mechanisms. This paper proposes an AR mechanism education system (ARMES) to provide a tool that can conduct mechanism simulations with high level of interaction, easy modeling, and simulation environment and working on real mechanisms. The system consists of theoretical lecture mode and practical exercise mode. Theoretical lecture mode adopts the basic theories of mechanisms from the book Mechanisms and Machine Theory (MMT) and provides an interactive learning style for users via an interactive tool. Practical exercise mode allows modeling, simulation, kinematical characteristics analysis, dynamic analysis, and synthesis based on the interaction with the information that has been rendered on a real mechanism via the interaction tool. In addition, the modeling is based on markers, making the system easy for novice learners to use. The simulation is based on geometrical concepts, making the geometrical bases of mechanism theories clear for users to understand. The evaluation of the system is conducted with 20 participants and a survey. The results reveal that by exploiting the characteristics of AR, the system is helpful in improving the interaction, visualization, and practicality of the mechanism problems. These features will make the system a powerful tool for the teaching of mechanisms.

“…Finally, augmented reality is also an emerging domain, both in teaching and in scientific research. Monroy et al [18] developed a mobile augmented reality system aimed at introducing machine tools (milling and lathe machines) at the manufacturing laboratory, which received support from the students. With the same aim of explaining manufacturing devices, Sang et al [20] presented the structure and principle of a three‐coordinate measuring machine simulation platform using different technologies such as browser‐based structure, Java3D, virtual reality and Java Applet.…”

Section: Introductionmentioning

confidence: 99%

Bridging the gap between student instruction and advanced research: Educational software tool for manufacturing learning

Urbikaín

Lacalle

2020

Currently, there is a big gap between industry and the instructions provided by engineers at the University. Manufacturing companies need engineers with specific profiles and skills in machining. Teachers, who face both worlds, must play an active role in shortening the transition times of students. Recently, barrel‐end mills have been the focus of attention of toolmakers and manufacturers due to their excellent production times and surface accuracies. They are outstanding competitors to more traditional ball‐end mills in some applications. This study raises the challenge of translating the developed work for this kind of tool from the research domain into the classroom at the University. For this, a software tool proBARR© was developed and used for learning of the subject of manufacturing. This educational software is capable of predicting cutting forces and surface topography in milling with barrel‐end mills and was successfully introduced as part of the students' learning process. A software tool was created for the analysis and prediction of cutting forces and surface quality in milling processes with barrel‐end mills. This specific problem was addressed from past experience in research projects but was then adapted for academic use. The teachers believe that, if suitably presented to students, the tool provides an excellent opportunity to approach real problems in industry, thus boosting instructions for future engineers. In this way, a pragmatic methodology to computational thinking is presented that transforms traditional difficulties associated with process modeling into more comprehensive tasks, more oriented toward solving specific problems.