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Simulation and Ergonomic Evaluation of Welders’ Standing Posture Using Jack Software

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  • Yongbao Zhang

    (School of Engineering and Technology, China University of Geosciences (Beijing), Beijing 100083, China)

  • Xiang Wu

    (School of Engineering and Technology, China University of Geosciences (Beijing), Beijing 100083, China)

  • Jingqi Gao

    (School of Engineering and Technology, China University of Geosciences (Beijing), Beijing 100083, China)

  • Jianwu Chen

    (China Academy of Safety Science and technology, Beijing 100083, China)

  • Xun Xv

    (China Metallurgical Construction Research Institute (Shenzhen) Co., Ltd., Shenzhen 518040, China)

Abstract

Ergonomics research strives to make workers’ labor more efficient, safer, and more comfortable. Therefore, six digital humans and welding torch model were built and evaluated based on the Jack software in order to improve the ergonomics of welders’ standing postures. Three sets of standing welding actions were designed: walking, raising arm, and contracting arm. Through the Lower Back Analysis, Ovako Working Posture Analysis, Comfort Assessment, and Rapid Upper Limb Assessment, this paper evaluated the optimum range of the weight of the welding torch, the upper limb posture, and the neck posture of the welder. Firstly, the results show that Chinese welders should not use a welding torch with a weight of more than 6 kg when standing up. Secondly, for adult males in the 5th, 50th, 95th percentile of body size, the best operating distance is 321 mm, 371 mm, and 421 mm, respectively, and the best operating height is 1050 mm, 1100 mm, and 1150 mm, respectively; for females in the same percentiles, the optimal operating distance is 271 mm, 321 mm, and 371 mm, respectively, and the optimal operating height is 1000 mm, 1050 mm, and 1100 mm, respectively. Moreover, the horizontal and vertical rotation angle of the welder’s neck should not exceed 15° and 8.7°. The adjustment strategy not only has a positive effect on improving welders’ operational posture and preventing fatigue and injury to the welder, but it also develops research ideas for promoting safety from the perspective of ergonomics.

Suggested Citation

  • Yongbao Zhang & Xiang Wu & Jingqi Gao & Jianwu Chen & Xun Xv, 2019. "Simulation and Ergonomic Evaluation of Welders’ Standing Posture Using Jack Software," IJERPH, MDPI, vol. 16(22), pages 1-14, November.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:22:p:4354-:d:284764
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    References listed on IDEAS

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    1. Judith D Pugh & Lucy Gelder & Anne M Williams & Diane E Twigg & Anne M Wilkinson & Anthony J Blazevich, 2015. "Validity and reliability of an online extended version of the Nordic Musculoskeletal Questionnaire (NMQ‐E2) to measure nurses' fitness," Journal of Clinical Nursing, John Wiley & Sons, vol. 24(23-24), pages 3550-3563, December.
    2. Amanda M.S. Cavaguchi & Márcio R. Oliveira & Christiane G. Macedo & Pablo E.A. de Souza & Andreo F. Aguiar & Mathieu Dallaire & Suzy Ngomo & Rubens A. da Silva, 2019. "Impact of Lifting of Two Types of Barrels on Postural Control, Trunk Muscle Recruitment, and Kinematic Measures in Manual Workers," IJERPH, MDPI, vol. 16(12), pages 1-11, June.
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    Cited by:

    1. Zuzhen Ji & Dirk Pons & Zhouyang Su & Zichong Lyu & John Pearse, 2022. "Integrating Occupational Health and Safety Risk and Production Economics for Sustainable SME Growth," Sustainability, MDPI, vol. 14(21), pages 1-19, November.
    2. Darina Duplakova & Jan Duplak & Rastislav Kascak, 2022. "Ergonomic Rationalization Sequence of Digital Lighting Design in the Working Environment," IJERPH, MDPI, vol. 19(12), pages 1-19, June.
    3. Jerzy Grobelny & Rafał Michalski, 2020. "Preventing Work-Related Musculoskeletal Disorders in Manufacturing by Digital Human Modeling," IJERPH, MDPI, vol. 17(22), pages 1-19, November.
    4. Yongbao Zhang & Jinjing Ke & Xiang Wu & Xiaowei Luo, 2020. "A Biomechanical Waist Comfort Model for Manual Material Lifting," IJERPH, MDPI, vol. 17(16), pages 1-18, August.

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