Analisa Cacat Pengelasan dan Kebocoran pada Knalpot Mobil di PT. X
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Jul 23, 2025
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Abstract
Penelitian ini bertujuan untuk menganalisis cacat pengelasan dan kebocoran pada knalpot mobil di PT.X. Metode yang digunakan adalah analisis visual dan pengujian non-destruktif untuk mendeteksi cacat pengelasan dan kebocoran pada knalpot mobil. Hasil penelitian menunjukkan bahwa cacat pengelasan dan kebocoran pada knalpot mobil dapat disebabkan oleh beberapa faktor, seperti teknik pengelasan yang tidak tepat, kualitas bahan yang buruk, dan desain knalpot yang tidak optimal. Penelitian ini juga menunjukkan bahwa cacat pengelasan dan kebocoran pada knalpot mobil dapat berdampak pada kinerja mesin dan keselamatan kendaraan. Hasil penelitian ini dapat digunakan sebagai acuan untuk meningkatkan kualitas knalpot mobil di PT.X dan mengurangi risiko kecelakaan yang disebabkan oleh cacat pengelasan dan kebocoran pada knalpot mobil.
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How to Cite
Kusuma, F. F., & Hamid Nasrullah. (2025). Analisa Cacat Pengelasan dan Kebocoran pada Knalpot Mobil di PT. X. JASATEC : Journal of Students of Automotive, Electronic and Computer, 5(1), 1-9. https://doi.org/10.37339/jasatec.v5i1.2558
References
[1] Ó. Silva, R. Cordera, E. González-González, and S. Nogués, “Environmental impacts of autonomous vehicles: A review of the scientific literature,” Sci. Total Environ., vol. 830, p. 154615, 2022.
[2] B. Wang, F. Tao, X. Fang, C. Liu, Y. Liu, and T. Freiheit, “Smart Manufacturing and Intelligent Manufacturing: A Comparative Review,” Engineering, vol. 7, no. 6, pp. 738–757, 2021.
[3] Y. Cheng, H. Deng, Y. Feng, and J. Xiang, Weld Defect Detection and Image Defect Recognition Using Deep Learning Technology. 2021.
[4] X. Huang et al., “A versatile strategy for broadening light absorption to ultraviolet–visible region on Zr-based MOF photocatalysts for efficient CO2 reduction,” Chem. Eng. J., vol. 507, p. 160812, 2025.
[5] Z. Zhou, X. Gao, and Y. Zhang, “Research progress on characterization and regulation of forming quality in laser joining of metal and polymer, and development trends of lightweight automotive applications,” Metals (Basel)., vol. 12, no. 10, p. 1666, 2022.
[6] E. Garba et al., “A review of electrode manufacturing methods for electrical discharge machining: current status and future perspectives for surface alloying,” Machines, vol. 11, no. 9, p. 906, 2023.
[7] D. Wu et al., “Progress and perspectives of in-situ optical monitoring in laser beam welding: Sensing, characterization and modeling,” J. Manuf. Process., vol. 75, pp. 767–791, 2022.
[8] D. Ma et al., “Achieving fully equiaxed grain microstructure and isotropic mechanical properties in wire arc additive-manufactured Mg-Y-Nd-Zr alloys,” J. Alloys Compd., vol. 962, p. 171041, 2023.
[9] H. Xu et al., “Review of vehicle scanning method for bridges from 2004 to 2024,” Int. J. Struct. Stab. Dyn., p. 2530003, 2024.
[10] R. Gupta, D. Deshmukh, A. P. Patil, N. K. Shrivastava, J. Giri, and R. B. Chadge, “Recent Advances in Material, Manufacturing, and Machine Learning: Proceedings of 1st International Conference (RAMMML-22), Volume 2,” 2023.
[11] V. B. Bhandari, Design of machine elements. Tata McGraw-Hill Education, 2010.
[12] G. Boothroyd, Fundamentals of metal machining and machine tools, vol. 28. Crc Press, 1988.
[13] S. Kalpakjian, Manufacturing engineering and technology. Pearson Education India, 2001.
[14] T. Mang, K. Bobzin, and T. Bartels, Industrial tribology: Tribosystems, friction, wear and surface engineering, lubrication. John Wiley & Sons, 2011.
[15] J. Moubray, Reliability-centered maintenance. Industrial Press Inc., 2001.
[16] J. L. Tai, M. T. H. Sultan, A. Łukaszewicz, Z. Siemiątkowski, G. Skorulski, and F. S. Shahar, “Preventing Catastrophic Failures: A Review of Applying Acoustic Emission Testing in Multi-Bolted Flanges. Metals 2025, 15, 438,” Energy, vol. 149. p. 213, 2025.
[17] T. Johnson and A. Joshi, “Review of vehicle engine efficiency and emissions,” SAE Int. J. Engines, vol. 11, no. 6, pp. 1307–1330, 2018.
[2] B. Wang, F. Tao, X. Fang, C. Liu, Y. Liu, and T. Freiheit, “Smart Manufacturing and Intelligent Manufacturing: A Comparative Review,” Engineering, vol. 7, no. 6, pp. 738–757, 2021.
[3] Y. Cheng, H. Deng, Y. Feng, and J. Xiang, Weld Defect Detection and Image Defect Recognition Using Deep Learning Technology. 2021.
[4] X. Huang et al., “A versatile strategy for broadening light absorption to ultraviolet–visible region on Zr-based MOF photocatalysts for efficient CO2 reduction,” Chem. Eng. J., vol. 507, p. 160812, 2025.
[5] Z. Zhou, X. Gao, and Y. Zhang, “Research progress on characterization and regulation of forming quality in laser joining of metal and polymer, and development trends of lightweight automotive applications,” Metals (Basel)., vol. 12, no. 10, p. 1666, 2022.
[6] E. Garba et al., “A review of electrode manufacturing methods for electrical discharge machining: current status and future perspectives for surface alloying,” Machines, vol. 11, no. 9, p. 906, 2023.
[7] D. Wu et al., “Progress and perspectives of in-situ optical monitoring in laser beam welding: Sensing, characterization and modeling,” J. Manuf. Process., vol. 75, pp. 767–791, 2022.
[8] D. Ma et al., “Achieving fully equiaxed grain microstructure and isotropic mechanical properties in wire arc additive-manufactured Mg-Y-Nd-Zr alloys,” J. Alloys Compd., vol. 962, p. 171041, 2023.
[9] H. Xu et al., “Review of vehicle scanning method for bridges from 2004 to 2024,” Int. J. Struct. Stab. Dyn., p. 2530003, 2024.
[10] R. Gupta, D. Deshmukh, A. P. Patil, N. K. Shrivastava, J. Giri, and R. B. Chadge, “Recent Advances in Material, Manufacturing, and Machine Learning: Proceedings of 1st International Conference (RAMMML-22), Volume 2,” 2023.
[11] V. B. Bhandari, Design of machine elements. Tata McGraw-Hill Education, 2010.
[12] G. Boothroyd, Fundamentals of metal machining and machine tools, vol. 28. Crc Press, 1988.
[13] S. Kalpakjian, Manufacturing engineering and technology. Pearson Education India, 2001.
[14] T. Mang, K. Bobzin, and T. Bartels, Industrial tribology: Tribosystems, friction, wear and surface engineering, lubrication. John Wiley & Sons, 2011.
[15] J. Moubray, Reliability-centered maintenance. Industrial Press Inc., 2001.
[16] J. L. Tai, M. T. H. Sultan, A. Łukaszewicz, Z. Siemiątkowski, G. Skorulski, and F. S. Shahar, “Preventing Catastrophic Failures: A Review of Applying Acoustic Emission Testing in Multi-Bolted Flanges. Metals 2025, 15, 438,” Energy, vol. 149. p. 213, 2025.
[17] T. Johnson and A. Joshi, “Review of vehicle engine efficiency and emissions,” SAE Int. J. Engines, vol. 11, no. 6, pp. 1307–1330, 2018.