Detection of Slag Inclusions and Degree of Roughness in Welded Joints by Application Approach
Deteksi Inklusi Terak dan Tingkat Kekasaran pada Sambungan Las dengan Pendekatan Aplikasi
Keywords:
Flaw detection, GTAW and SMAW combination welding, Slag inclusion, Surface roughnessAbstract
Slag Inclusion is a defect that occurs in areas in the weld. This defect is in the form of slag (melting flux) that is in the welding. In this study, an experiment was conducted using a sample of SA 106 Grade B pipe, aiming to detect slag inclusion defects and evaluate the degree of roughness in GTAW (Gas Tungsten Arc Welding) and SMAW (Shielded Metal Arc Welding) combinations with an application-based approach. This approach uses a special application to automatically detect slag inclusion defects and measure the surface roughness level of the weld results. The research method involves collecting welding samples with a variety of relevant process parameters. The collected data were then analyzed qualitatively and quantitatively. The results achieved were that in the GTAW and SMAW combination welding there were Slag inclusion weld defects in the weld metal area in the fill pass layer, the size of the slag defects in welding was obtained with a defect depth value of 0.5 µm while for SEM testing and supported by the use of software produced an average roughness with value (Ra) 70.536 nm, roughness average root (Rq) 99.0837 nm, maximum height of roughness (Rt) 847. 170 nm, maximum valley depth of roughness (Rv) 313.262.)
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References
Abdul Khadeer, S. K., Ramesh Babu, P., Ravi Kumar, B., & Seshu Kumar, A. (2020). Evaluation of friction welded dissimilar pipe joints between AISI 4140 and ASTM A 106 Grade B steels used in deep exploration drilling. Journal of Manufacturing Processes, 56(February), 197–205. https://doi.org/10.1016/j.jmapro.2020.04.078
American, A., & Standard, N. (2020). Structural Welding Code — Steel Structural Welding Code — Steel (A. W. Society (ed.); 24th ed.). 2020.
Cárcel-Carrasco, J., Pascual, M., Pérez-Puig, M., & Segovia, F. (2017). Comparative study of TIG and SMAW root welding passes on ductile iron cast weldability. Metalurgija, 56(1–2), 91–93.
Guo, B., Du, X., & Hu, J. (2012). Study on TIG and SMAW comprehensive welding process of 1Cr18Ni9Ti/Q235 compound steel. Advanced Materials Research, 487(1), 371–374. https://doi.org/10.4028/www.scientific.net/AMR.487.371
Hassan, J., Awan, A. M., & Jalil, A. (2012). Welding defect detection and classification using geometric features. 2012 10th International …. https://ieeexplore.ieee.org/abstract/document/6424312/
Jamrozik, W., Górka, J., & Kiel-Jamrozik, M. (2020). DETECTION of SLAG INCLUSIONS in MMA JOINTS with PASSIVE THERMOGRAPHY TECHNIQUES. Diagnostyka, 21(2), 111–117. https://doi.org/10.29354/diag/122843
Prastita, I. W. P., & Yunus. (2014). Pengaruh Variasi Arus dan Jenis Elektroda Hasil Proses Pengelasan SMAW Terhadap Cacat Las Menggunakan Pengujian Ultrasonik Phased Array. Jurnal Teknik Mesin, 2(3), 29–37.
Sumesh, A., Ramnadh, L. V. S., Manish, P., Harnath, V., & Lakshman, V. (2016). A Computational approach in optimizing process parameters of GTAW for SA 106 Grade B steel pipes using Response surface methodology. IOP Conference Series: Materials Science and Engineering, 149(1). https://doi.org/10.1088/1757-899X/149/1/012038
Yu, W., Fan, M., Shi, J., Xue, F., Chen, X., & Liu, H. (2018). A comparison between fracture toughness at different locations of SMAW and GTAW welded joints of primary coolant piping. Engineering Fracture Mechanics, 202(March), 135–146. https://doi.org/10.1016/j.engfracmech.2018.09.021
Zhang, J., Barber, T., Nixon, A., & Wilcox, P. (2017). Investigation into distinguishing between small volumetric and crack-like defects using multi-view total focusing method images. AIP Conference Proceedings, 1806. https://doi.org/10.1063/1.4974590



