SIMULATION OF WELDING WORKBENCH DESIGN FOR STUDENTS' PRACTICAL WORK LEARNING USING DIGITAL HUMAN MODELING

Eko Wahyu Abryandoko

Abstract


The design of a welding workbench for the learning process must consider the risks of musculoskeletal disorders (WMSDs). This study aims to develop an ergonomic welding workbench design to reduce the risk of awkward working postures, such as excessive neck flexion and elevated arm positions during welding. Using a digital human modeling simulation approach with Catia V5 R21 software, the design was evaluated based on ergonomic parameters, including LBA, OWAS, CA, and RULA. This study fills a gap in ergonomic literature by providing a quantitative evaluation model tailored to the body postures of Indonesian students. The results reveal that Alternative Design I has superior specifications, including adjustable table height, permanent welding component clamps, and a table tilt angle of up to 30 degrees. The workbench reduces spinal stress and improves working comfort. OWAS analysis indicates reduced musculoskeletal system risks, while RULA evaluation demonstrates improved comfort levels with adjustable table heights. Practical applications of these findings include enhancing safety and efficiency in welding learning processes at educational institutions. The design improves students' productivity and health by providing a more ergonomic working environment. This research lays the groundwork for further development of adaptive ergonomic workbench designs tailored to local needs and recommends future studies to explore applying similar technologies in other fields.


Keywords


Workbench design concept; Ergonomics; Welding

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Yang, F., Di, N., Guo, W. wei, Ding, W. bin, Jia, N., Zhang, H., Li, D., Wang, D., Wang, R., Zhang, D., Liu, Y., Shen, B., Wang, Z. xu, & Yin, Y. (2023). The prevalence and risk factors of work related musculoskeletal disorders among electronics manufacturing workers: a cross-sectional analytical study in China. BMC Public Health, 23(1). https://doi.org/10.1186/s12889-022-14952-6.

LeBlanc, K. E., & LeBlanc, L. L. (2010). Musculoskeletal disorders. In Primary Care - Clinics in Office Practice (Vol. 37, Issue 2, pp. 389–406). https://doi.org/10.1016/j.pop.2010.02.006.

Kruger, K., Petermann, C., Pilat, C., Schubert, E., Pons-Kühnemann, J., & Mooren, F. C. (2015). Preventive strength training improves working ergonomics during welding. International Journal of Occupational Safety and Ergonomics, 21(2), 150–157. https://doi.org/10.1080/10803548.2015.1029290.

Phajan, T., Nilvarangkul, K., Settheetham, D., & Laohasiriwong, W. (2014). Work-related musculoskeletal disorders among sugarcane farmers in North-Eastern Thailand. Asia-Pacific Journal of Public Health, 26(3), 320–327. https://doi.org/10.1177/1010539514528026.

Lourenço, L., & Luís, S. (2021). Musculoskeletal Disorders in Portuguese Welders: Effects on Bodily Pain and Health-Related Quality of Life. Frontiers in Public Health, 9.

Ahmad, N. S., Alhusna, A., Abdullah, A., Kee Thyng, O., & Xin, T. L. (2020). Musculoskeletal Disorders Among Dental Students. www.jrmds.in.

Wanjari, M. B., & Wankhede, P. (2020). Occupational hazards associated with welding work that influence health status of welders. International Journal of Current Research and Review, 12(23), 51–55. https://doi.org/10.31782/IJCRR.2020.122303.

Francisco, C., & Edwin, T. (2012). Implementation of an ergonomics program for the welding department inside a car assembly company. Work, 41(SUPPL.1), 1618–1621. https://doi.org/10.3233/WOR-2012-0361-1618.

Mohammed, A. R., Mohamed, M. O., Alhubaishy, Y. A., Nasser, K. A., & Fahim, I. S. (2020). Ergonomic analysis of a working posture in steel industry in Egypt using digital human modeling. SN Applied Sciences, 2(12). https://doi.org/10.1007/s42452-020-03872-y.

Ji, X., Hettiarachchige, R. O., Littman, A. L. E., & Piovesan, D. (2023). Using Digital Human Modelling to Evaluate the Risk of Musculoskeletal Injury for Workers in the Healthcare Industry. Sensors, 23(5). https://doi.org/10.3390/s23052781.

Raghunathan, R., & R, S. (2016). Review of Recent Developments in Ergonomic Design and Digital Human Models. Industrial Engineering & Management, 5(2). https://doi.org/10.4172/2169-0316.1000186.

Marín, J., & Marín, J. J. (2021). Forces: A motion capture-based ergonomic method for the today’s world. Sensors, 21(15). https://doi.org/10.3390/s21155139.

Raghunathan Joshi, M., & Deshpande, V. (2019). A systematic review of comparative studies on ergonomic assessment techniques. In International Journal of Industrial Ergonomics (Vol. 74). Elsevier B.V. https://doi.org/10.1016/j.ergon.2019.102865.

Ryall, T., Judd, B. K., & Gordon, C. J. (2016). Simulation-based assessments in health professional education: A systematic review. In Journal of Multidisciplinary Healthcare (Vol. 9, pp. 69–82). Dove Medical Press Ltd. https://doi.org/10.2147/JMDH.S92695.

Frey, D. D., Herder, P. M., Wijnia, Y., Subrahmanian, E., Katsikopoulos, K., & Clausing, D. P. (2009). The Pugh Controlled Convergence method: Model-based evaluation and implications for design theory. Research in Engineering Design, 20(1), 41–58. https://doi.org/10.1007/s00163-008-0056-z.

Malakoutian, M., Sanchez, C. A., Brown, S. H. M., Street, J., Fels, S., & Oxland, T. R. (2022). Biomechanical Properties of Paraspinal Muscles Influence Spinal Loading—A Musculoskeletal Simulation Study. Frontiers in Bioengineering and Biotechnology, 10. https://doi.org/10.3389/fbioe.2022.852201.

Waters, T. R., Putz-Anderson, V., Garg, A., & Fine, L. J. (1993). Revised NIOSH equation for the design and evaluation of manual lifting tasks. Ergonomics, 36(7), 749–776. https://doi.org/10.1080/00140139308967940.

Hlávková, J., Lebeda, T., Tichý, T., Gaďourek, P., Urban, P., Nakládalová, M., Laštovková, A., Fenclová, Z., Ridzoň, P., Ehler, E., Richter, M., Pešáková, L., & Pelclová, D. (2016). Evaluation of lumbar spine load by computational method in order to acknowledge low-back disorders as occupational diseases. Central European Journal of Public Health, 24(1), 58–67. https://doi.org/10.21101/cejph.a4332.

Porter E, M. (1998). Clusters and Competition: New Agendas for Companies, Governments, and Institutions. Harvard Business School Press.

Zhang, Y., Wu, X., Gao, J., Chen, J., & Xv, X. (2019). Simulation and ergonomic evaluation of welders’ standing posture using Jack software. International Journal of Environmental Research and Public Health, 16(22). https://doi.org/10.3390/ijerph16224354.

Li, Z., Zhang, R., Lee, C. H., & Lee, Y. C. (2020). An evaluation of posture recognition based on intelligent rapid entire body assessment system for determining musculoskeletal disorders. Sensors (Switzerland), 20(16), 1–21. https://doi.org/10.3390/s20164414.

Gómez-Galán, M., González-Parra, J. M., Pérez-Alonso, J., Golasi, I., & Callejón-Ferre, Á. J. (2019). Forced postures in courgette greenhouse workers. Agronomy, 9(5). https://doi.org/10.3390/agronomy9050253.

Porter Iqbal, M., Angriani, L., Hasanuddin, I., Erwan, F., Soewardi, H., & Hassan, A. (2021). Working posture analysis of wall building activities in construction works using the OWAS method. IOP Conference Series: Materials Science and Engineering, 1082(1), 012008. https://doi.org/10.1088/1757-899x/1082/1/012008.

Nedohe, K., Mpofu, K., & Makinde, O. (2023). Assessment of Ergonomics Risk Experienced by Welding Workers in a Rail Component Manufacturing Organization. Lecture Notes in Mechanical Engineering, 227–236. https://doi.org/10.1007/978-3-031-18326-3_23.

Penghimpun Ergonomi Indonesia. (2013). Rekap Data Antropometri Indonesia. Http://Www.Antropometriindonesia.Org/Index.Php/Detail/Artikel/4/10/Data_antropometri.


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