Pengamatan Cacat Material Aluminium 6061 Proses Pemotongan Laser Menggunakan ESP32CAM

Authors

  • Rizki Aulia Nanda Prodi Teknik Mesin, Fakultas Teknik, Universitas Buana Perjuangan Karawang
  • Karyadi Karyadi Prodi Teknik Mesin, Fakultas Teknik, Universitas Buana Perjuangan Karawang
  • Tukino Tukino Prodi Sistem Informasi, Fakultas Ilmu Komputer, Universitas Buana Perjuangan Karawang
  • Ade Suhara Prodi Teknik Industri, Fakultas Teknik, Universitas Buana Perjuangan Karawang
  • Muhammad Nuzan Rizki Prodi Teknik Mesin, Fakultas Teknik, Universitas Malikussaleh
  • Muhammad Faiz Ramadhan Prodi Teknik Mesin, Fakultas Teknik, Universitas Buana Perjuangan Karawang
  • Khafid Khaulsar Akmal Prodi Teknik Mesin, Fakultas Teknik, Universitas Buana Perjuangan Karawang

DOI:

https://doi.org/10.30630/jtm.17.2.1609

Keywords:

ESP32CAM, laser cutting , openCV, color segmentation

Abstract

Using high-pressure and high-temperature laser light emission techniques, laser cutting  works to cut materials in such a way that components at the laser cutting  point produce cutting  results. However, the current problem is that laser cutting  often produces material defects including protruding parts, burnt surfaces, and pores on the laser-cut parts. Given this problem, the purpose of this study is to develop a camera capable of identifying material defects caused by laser cutting . The research method is the preparation of 6061 aluminum material, the preparation of the ESP32CAM camera, and the preparation of laser cutting  parameter settings. In order to run the ESP32CAM program, C and OpenCV programming languages ??are needed to identify items with material defects, color images, histograms, and FPS are needed. The results of the study showed that detecting defects at the highest FPS reading of 15.57 and a histogram value of 250 at the x coordinate and 950000 at the y coordinate. Eight defects in the material were found using Open CV detection on the ESP32CAM camera sample 3. From this technique it can be concluded that ESP32CAM is capable of identifying material defects caused by laser cutting.

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Published

2024-12-11

How to Cite

Nanda, R. A., Karyadi, K., Tukino, T., Suhara, A., Rizki, M. N., Ramadhan, M. F., & Akmal, K. K. (2024). Pengamatan Cacat Material Aluminium 6061 Proses Pemotongan Laser Menggunakan ESP32CAM. Jurnal Teknik Mesin, 17(2), 189–195. https://doi.org/10.30630/jtm.17.2.1609