Implementation of Non-Destructive Radiographic Testing for Welding Defect Inspection on Heat Exchanger Project DXXXX at PT XYZ

Authors

  • Marizka Putri Ismawaty Universitas Singaperbangsa Karawang Author
  • Dene Herwanto Universitas Singaperbangsa Karawang Author
  • Naufal Rabbani Sumitra Universitas Singaperbangsa Karawang Author
  • Benyamine Sulaeman Universitas Singaperbangsa Karawang Author

Keywords:

Welding Defect, Radiography Test, Heat Exchanger

Abstract

Welding in the heat exchanger fabrication process is a critical stage that determines structural integrity and operational safety, but internal defects are still often found that cannot be detected visually. This study was conducted to identify the type of welding defect in the Heat Exchanger Project DXXXX and analyze the causative factors based on ASME Section V and VIII standards. The research approach uses a descriptive qualitative method through direct observation of the welding process, Radiography Test documentation, and interviews with Quality Control personnel during field work practice activities. The results showed that out of 279 radiographic films examined at 29 connection points, 31 defects were found consisting of two main types, namely slag inclusion and porosity. Slag inclusion defects are the most dominant finding and are influenced by human factors and work methods, while porosity defects are mainly caused by inaccuracies in methods related to the regulation and use of shielding gas. These findings indicate that inconsistencies in welding procedures, suboptimal material preparation, and inconsistent process control contribute significantly to the occurrence of defects. This study concludes that the Radiography Test is able to provide a comprehensive picture of the quality of weld joints and the defect patterns that occur in heat exchanger fabrication. Recommendations include improving operator competence, reviewing welding procedures according to ASME standards, improving QC supervision, and regular calibration of welding equipment to minimize the recurrence of defects in the welding process in the future

References

[1] A. EL Harrak, M. Rhazzaf, and I. Moumene, “Deep Learning Approach for Non-destructive Radiography Testing of Piping Welds,” IAENG Int J Comput Sci, vol. 51, no. 4, pp. 378–395, 2024.

[2] E. E. Ghandourah, S. A. hanif Hamidi, K. A. M. Salleh, M. N. Wahab, E. M. Banoqitah, and O. A. Fallatah, “Evaluation of Welding Defects with X-ray Digital Laminography for NDT inspection of Carbon Steel Plate,” Res Sq, vol. 1, no. 1, pp. 1–18, Apr. 2023, doi: 10.21203/rs.3.rs-2692428/v1.

[3] A. V. Prasmoro, “Analisa sistem perawatan pada mesin las MIG dengan metode Failure Mode and Effect Analysis: Studi kasus di PT. TE,” Operations Excellence, vol. 12, no. 1, pp. 13–27, 2020.

[4] J. Ilmu et al., “Hubungan Antara PPE, WPS, BBS dan kompetensi welder terhadap penerapan k3 bidang pekerjaan fabrikasi logam pada proses welding,” Journal of Public Health Sciences), vol. 13, no. 2, pp. 251–260, 2024, [Online]. Available: https://jurnal.ikta.ac.id/index.php/kesmas

[5] T. W. Purnomo, F. Danitasari, and D. Handoko, “Weld Defect Detection and Classification based on Deep Learning Method: A Review,” Jurnal Ilmu Komputer dan Informasi (Journal of Computer Science and Information), vol. 16, no. 1, pp. 77–87, 2023, doi: 10.21609/jiki.v16i1.1147.

[6] R. L. Pradana, A. Khumaidi, and R. Andiana, “Identifikasi Penyebab Cacat Pada Hasil Pengelasan Dengan Image Processing Menggunakan Metode YOLO,” Jurnal Teknik Elektro Dan Komputer TRIAC, vol. 9, no. 2, pp. 107–112, 2022, [Online]. Available: https://journal.trunojoyo.ac.id/triac

[7] D. Say, S. Zidi, S. M. Qaisar, and M. Krichen, “Automated Categorization of Multiclass Welding Defects Using the X-ray Image Augmentation and Convolutional Neural Network,” Sensors, vol. 23, no. 14, pp. 1–19, Jul. 2023, doi: 10.3390/s23146422.

[8] M. N. Alwahidi, S. Najibah, and B. Afrizal, “Jurnal Mema (Jurnal Mesin dan Manufaktur) Review Pengujian Pengelasan Metode Non-Destructive Test,” Jurnal Mema (Jurnal Mesin dan Manufaktur), vol. 2, no. 1, pp. 30–42, 2025, [Online]. Available: https://memajournal.indiepress.id/index.php/mema/index

[9] W. Bagus Pratama and M. Irfa’i, “Pengaruh Variasi Arus Dan Diameter Elektroda Pengelasan Smaw Posisi 1G Terhadap Cacat Pengelasan Mochamad Arif Irfa’i,” JTM, vol. 14, no. 3, pp. 13–18, 2025.

[10] W. Zhang et al., “Deep Learning-Based Automated Detection of Welding Defects in Pressure Pipeline Radiograph,” Coatings, vol. 15, no. 7, pp. 1–14, Jul. 2025, doi: 10.3390/coatings15070808.

[11] M. Mahvelatishamsabadi and S. Lee, “Automated Weld Defect Detection in Radiographic Images Using Normalizing Flows,” Machines, vol. 13, no. 9, pp. 1–14, Sep. 2025, doi: 10.3390/machines13090836.

[12] A. Zayadi, ) Sungkono, and C. Hp, “Analisis Radiografi Sinar-X Terhadap Sambungan Pelat Baja Tahan Karat Aisi 304 Hasil Pengelasan Tungsten Inert Gas Dengan Arus 40-60 Ampere,” Jurnal Teknologi Kedirgantaraan, vol. 6, no. 2, pp. 12–22, 2021, doi: 10.35894/jtk.v6i2.

[13] M. N. Alwahidi, S. Najibah, and B. Afrizal, “Jurnal Mema (Jurnal Mesin dan Manufaktur) Review Pengujian Pengelasan Metode Non-Destructive Test,” Jurnal Mema (Jurnal Mesin dan Manufaktur), vol. 2, no. 1, pp. 30–42, 2025, [Online]. Available: https://memajournal.indiepress.id/index.php/mema/index

[14] Y. Amalia and S. Rahmatillah, “Analisis Sambungan Las Baja S355 J2 Sebagai Penyusun Welding Procedure Specification di PT Industri Kereta Api,” JUSTER: Jurnal Sains dan Terapan, vol. 1, no. 2, pp. 1–6, 2022.

[15] B. Putra and H. Abizar, “Vocational Education National Seminar (VENS) Attribution-ShareAlike 4.0 International Some rights reserved Paper Analisa Hasil Pengelasan Pada Permukaan Pressure Vassel Menggunakan Non Destruktif Test Dengan Metode Radiografi Test,” Vocational Education National Seminar, vol. 2, no. 1, pp. 5–8, 2023.

Downloads

Published

06/01/2026

How to Cite

[1]
“Implementation of Non-Destructive Radiographic Testing for Welding Defect Inspection on Heat Exchanger Project DXXXX at PT XYZ”, jse, vol. 11, no. 1, Jan. 2026, Accessed: Jan. 27, 2026. [Online]. Available: https://jse.serambimekkah.id/index.php/jse/article/view/1493

Similar Articles

1-10 of 168

You may also start an advanced similarity search for this article.