Abstract
Human models combined with virtual prototypes is increasingly used by seat and interior engineers in both automotive and aeronautic industries. Testing virtually a seat design enables to anticipate potential discomfort issues, to compare seat variants through repeatable test procedures and this for a wide range of seat occupants’ anthropometries. As comfort feeling is related to lots of factors, human models used for such virtual seat test must cover not only static comfort, through posture and pressure mapping evaluations, but also body vibration transmission related to external perturbations, and human thermal comfort sensation.
This paper will describe the different steps of development of these finite elements human models, from the initial collaboration with Hong-Ik University to select the targeted human anthropometries until the validation of their capabilities to predict the static (dis)comfort while seating in a virtual seat prototype. It will then detail the work done to capture also the physical phenomena related to the dynamic comfort, when a seat is submitted to some vibrations. This paper will also present the latest developments to include the prediction of thermal comfort.
Then, typical applications using those human models in interaction with virtual seat prototypes will be shown and will highlight the interest of a unique human model for prediction in diverse discomfort evaluations, such as static, dynamic and thermal comfort.
Finally, the last part will demonstrate the influence of human anthropometries for the static and dynamic comfort evaluation.
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References
Sah S, Hwang D, Choi H, Kim Y, Lee H (2003) The validation of finite element human model for occupant-seat interface pressure distributions and biodynamic characteristics under vertical vibration. SAE paper 20035431
Schneider LW, Robbins DH, Pflüg MA, Snyder RG (1983) Development of anthropometrically based design specifications for an advanced adult anthropomorphic dummy family, vols 1 and 2: anthropometric specifications for mid-sized male dummy, UMTRI final report, December 1983
Montmayeur N, Haug E, Marca C (2004) Numerical and experimental analyses of seating and riding comfort. In: Digital human modelling 2004, 04DHM03
Montmayeur N, Marca C, Sah S, Choi H (2005) Experimental and numerical analyses of seating pressure distribution patterns. In: Digital human modelling 2005, 05DHM16
Kim S-H, Hwang S-H, Lee K-N, Pyun J-K, Choi H, Kim K, Sah S, Montmayeur N (2007) New anthropometry of human body models for riding comfort simulation. In: Digital human modelling 2007, 07DHM26
Oomens CWJ, Bressers OFJT, Bosbomm EMH, Bouten C, Blader DL (2003) Can loaded interface characteristics influence strain distributions in muscle adjacent to bony prominences? Comput Methods Biomech Biomed Eng 6(3):80–171
Amann C, Huschenbeth A, Zenl R, Montmayeur N, Marca C, Michel C (2008) Virtual assessment of occupied seat vehicle vibration transmissibility. In: Digital human modelling 2008, 08DHM-12
Adel Z, Marca C, Borot C (2017) Development of a human thermal model to predict seat occupant thermal comfort. In: 1st international comfort congress, Salerno
Mergl C, Klendauer M, Mangen C, Bubb H (2005) Predicting long term riding comfort in cars by contact forces between human and seat. SAE 2005-01-2690
Zenk R, Franz M, Bubb H (2007) Spine load in the context of automotive seating. SAE 2007-01-2485
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Beaugonin, M., Adel, Z., Borot, C. (2019). A Unique Human Model to Simulate Various Types of Seat (Dis)comfort. In: Bagnara, S., Tartaglia, R., Albolino, S., Alexander, T., Fujita, Y. (eds) Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018). IEA 2018. Advances in Intelligent Systems and Computing, vol 822. Springer, Cham. https://doi.org/10.1007/978-3-319-96077-7_9
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DOI: https://doi.org/10.1007/978-3-319-96077-7_9
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