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Design of an ESP32-based electronic control system for evaluating motorcycle fuel injector characteristics Banu Amruloh; I Wayan Adiyasa; Moch Solikin; Kurniawan Sigit Wahyudi; Muhammad Nurdin Wahid
Journal of Automotive and Mechanical Applied Technology Vol. 3 No. 1 (2026)
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jamat.v3i1.3335

Abstract

The development of electronic fuel injection (EFI) technology and the growing use of ethanol-blended fuels have introduced new challenges for motorcycle fuel systems, particularly injector performance and reliability. Commercial injector testers are relatively expensive and often use closed architectures, limiting their accessibility for small workshops and educational laboratories. This study aimed to design and develop a web-based injector characteristic testing control system using an ESP32-S3 CAM microcontroller and to evaluate its performance. An engineering design method with a quantitative testing approach was applied. The system was designed to conduct fuel volume, spray pattern, and leakage tests by controlling engine speed simulation (RPM), duty cycle, and test duration through a web interface. The ESP32-S3 CAM generated pulse-width modulation (PWM) signals to actuate the injector and provided real-time visual monitoring through an integrated camera. The results showed that the system successfully executed the intended testing functions. Increasing RPM, duty cycle, and test duration produced proportional increases in injected fuel volume. Linearity analysis indicated that injector responses were generally linear with respect to changes in RPM and duty cycle. Repeatability testing produced maximum coefficient of variation values of 1% for injector 1 and 2% for injector 2, indicating good measurement consistency. Spray pattern testing showed a uniform cone-shaped atomization pattern. In contrast, leakage testing confirmed the absence of fuel droplets under inactive conditions. These findings demonstrate that the developed ESP32-based tester provides a low-cost, flexible, and practical alternative for evaluating motorcycle injector characteristics in workshop and laboratory settings, especially where standardized diagnostic equipment is not readily available.
Prototype of an adaptive wiper system for electric vehicles for disabled users using a servo motor Raihan Bayu Nugroho; I Wayan Warsita; I Wayan Adiyasa
Journal of Automotive and Mechanical Applied Technology Vol. 2 No. 1 (2025)
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jamat.v2i1.1342

Abstract

This study presents the design and implementation of a prototype wiper system using a servo motor, specifically developed for electric vehicles designed for persons with disabilities. The system is structured through several stages, including the creation of a wiring diagram, the development of a control system based on an Arduino Uno microcontroller, and the integration of key components such as a 12V battery, a three-position switch, a step-down LM2596 module, and an RDS3239 servo motor. The control logic enables two-speed wiping modes low and high regulated by user input via the switch. Electrical testing demonstrated that the current drawn by the system was 0.26 A at low speed and 0.37 A at high speed, with corresponding power consumption of 3.12 W and 4.44 W, respectively. These values fall within safe operating limits, indicating energy efficiency suitable for electric vehicle applications. Motion testing showed that the system achieved 30 wipes per minute at low speed and 60 wipes per minute at high speed, with the high-speed mode meeting the minimum functional criteria set by national standards. Angular deviation analysis further revealed that increased speed slightly impacted sweep precision, though still within acceptable tolerances. The results indicate that the developed system not only performs effectively in varying operational conditions but also offers energy-efficient and responsive functionality. This makes it a viable solution for adaptive and accessible mobility technologies in electric vehicles for persons with disabilities.
Design of an electronic control system for automating the GMAW welding process Taufik Fajar; Rafge Cahya Pramana; I Wayan Adiyasa
Journal of Automotive and Mechanical Applied Technology Vol. 2 No. 2 (2025)
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jamat.v2i2.2465

Abstract

This study aims to design and implement an electronic control system to automate the GMAW welding process, focusing on precise regulation of travel speed and travel length to improve repeatability, safety, and weld consistency. The methodology is organized into four stages: (1) needs analysis to define functional requirements, user constraints, and operating ranges; (2) system design covering hardware architecture, sensor and actuator selection, and embedded control logic; (3) implementation through microcontroller-based integration of a motion drive, user interface, and parameter-setting features; and (4) testing to verify accuracy, stability, and performance under realistic operating conditions. The results demonstrate that the system regulates welding speed with an accuracy of 92.54%–99.44%, while maintaining a maximum time standard deviation of 0.038 seconds, indicating stable motion over repeated trials. For welding length control, the system achieves an average absolute error of 0.35–0.5 mm, a percentage error of 0.17%–0.7%, and a standard deviation of 0.051 mm or less, supporting consistent endpoint positioning. In real-world welding tests, the actual weld length deviation ranges from 0.20 to 1.71 mm. It remains within ISO 13920 Class D tolerance limits, confirming practical applicability for general fabrication. The developed controller enables precise parameter control over a speed range of 100–800 mm/min and a length range of 50–300 mm, reducing the need for direct operator intervention and limiting human-induced variability. Overall, the system supports safer, more consistent welding operations and provides a scalable platform for integrating additional monitoring or adaptive control functions. Suitable for training, prototyping, and routine production trials. Future work will address adaptive control diagnostics.