Skip to main content
Log in

Numerical simulation-based loaded inflation height modeling of nursing bed airbag

  • Original Article
  • Published:
Medical & Biological Engineering & Computing Aims and scope Submit manuscript

Abstract

In previous studies, the numerical simulation models of industrial airbags were verified to have high accuracy regarding their actual dynamics. However, numerical methods were scarcely utilized to simulate and investigate the inflation height behaviors of nursing bed airbag. For this problem, this study constructs a numerical simulation model illustrating the association between the internal pressure and inflating height of nursing bed airbag, under various external loads. Firstly, based on an averaged pressure prerequisite, an airbag dynamic model is established by the control volume approach (the air inside the airbag follows the gas state equation of Poisson’s law). Besides, the elastic mechanical behaviors of airbag film material are determined according to a material constitutive model built by the quasi-static uniaxial tensile test. The obtained data are used as the boundary conditions, for the numerical dynamics modeling of the nursing bed airbag. Verification experiments clarify that this numerical modeling is accurate for describing airbag inflation behaviors, and then can be effectively applied to the design and optimization phases of nursing bed airbags. Based on the simulation modeling above, the mathematical equation of controlling airbag inflating height by its internal pressure is obtained. It provides a vital basis for the differentiated and intelligent control of the airbag nursing bed.

Graphical abstract

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12

Similar content being viewed by others

References

  1. Cortés OL, HerreraGalindo M, Villar JC, Rojas YA et al (2021) Frequency of repositioning for preventing pressure ulcers in patients hospitalized in ICU: protocol of a cluster randomized controlled trial. BMC Nurs 20(1):121–121. https://doi.org/10.1186/S12912-021-00616-0

    Article  PubMed  PubMed Central  Google Scholar 

  2. Serrano Lima M, González Méndez MI, Carrasco Cebollero FM, Lima Rodríguez JS (2017) Risk factors for pressure ulcer development in Intensive Care Units: a systematic review. Med Intensiva (English Edition) 41(6):339–346. https://doi.org/10.1016/j.medine.2017.04.006

    Article  Google Scholar 

  3. Rabadi MH (2021) Fever in a paraplegia patient with a pressure ulcer. Radiol Case Rep 16(9):2434–2436. https://doi.org/10.1016/j.radcr.2021.05.065

    Article  PubMed  PubMed Central  Google Scholar 

  4. Lindqvist EK, Sommar P, Stenius M, Lagergren JF (2020) Complications after pressure ulcer surgery - a study of 118 operations in spinal cord injured patients. J Plast Surg Hand Surg 54(3):145–150. https://doi.org/10.1080/2000656X.2020.1720700

    Article  PubMed  Google Scholar 

  5. Anoop RG, Kareem JK, Murillo A, Taylor DO et al (2019) Postoperative pressure ulcers after geriatric hip fracture surgery are predicted by defined preoperative comorbidities and postoperative complications. J Am Acad Orthop Surg 28(8):1–1. https://doi.org/10.5435/JAAOS-D-19-00104

    Article  Google Scholar 

  6. Chopra T, Kaye K, Sobel J (2017) Gunshot injury paraplegics-a population dying a slow, irreversible, and expensive death-a viewpoint on preventing pressure ulcers. Infect Control Hosp Epidemiol 38(6):759–760. https://doi.org/10.1017/ice.2017.33

    Article  PubMed  Google Scholar 

  7. Shi C, Dumville JC, Cullum N, Rhodes S et al (2021) Beds, overlays, and mattresses for treating pressure ulcers. Cochrane Database Syst Rev 5:CD013624–CD013624. https://doi.org/10.1002/14651858.cd013624

    Article  PubMed  Google Scholar 

  8. Prado C, Machado E, Mendes K, Silveira R et al (2021) Support surfaces for intraoperative pressure injury prevention: systematic review with meta-analysis. Rev Lat Am Enfermagem 29(8):e3493. https://doi.org/10.1590/1518-8345.5279.3493

    Article  PubMed  PubMed Central  Google Scholar 

  9. De Oliveira K F, Nascimento K G, Nicolussi A C, Chavaglia S R R, et al. (2017) Support surfaces in the prevention of pressure ulcers in surgical patients: an integrative review. Int J Nurs Pract 23(4). https://doi.org/10.1111/ijn.12553.

  10. Jiang J, Liu T, Zhang Y et al (2017) Design and development of an intelligent nursing bed — a pilot project of “joint assignment”. IEEE Engineering in Medicine and Biology Society. Annu Conf 2017:38–41. https://doi.org/10.1109/EMBC.2017.8036757

    Article  Google Scholar 

  11. Ghersi I, Mari OM, Miralles MT (2016) From modern push-button hospital-beds to 20th century mechatronic beds: a review. J Phys: Conf Ser 705(1):012054. https://doi.org/10.1088/1742-6596/705/1/012054

    Article  Google Scholar 

  12. Ghersi I, Mariño M, Miralles MT (2018) Smart medical beds in patient-care environments of the twenty-first century: a state-of-art survey. BMC Med Informat Decis Making 63(18). https://doi.org/10.1186/s12911-018-0643-5.

  13. Vest JR, Jung HY, Wiley JR et al (2019) Adoption of health information technology among US nursing facilities. J Am Med Dir Assoc 20(8):995–1000. https://doi.org/10.1016/j.jamda.2018.11.002

    Article  PubMed  Google Scholar 

  14. Zhang Z, Jin X, Wan Z, et al (2021) A feasibility study on smart mattresses to improve sleep quality. J Healthcare Eng 6127894. https://doi.org/10.1155/2021/6127894

  15. Shi C, Dumville JC, Cullum N et al (2021) Beds, overlays and mattresses for preventing and treating pressure ulcers: an overview of Cochrane Reviews and network meta-analysis. Cochrane Database Syst Rev 8(8):CD013761. https://doi.org/10.1002/14651858.CD013761.pub2

    Article  PubMed  Google Scholar 

  16. Elsabbagh A (2015) Nonlinear finite element model for the analysis of axisymmetric inflatablebeams. Thin-Walled Struct 96:307–313. https://doi.org/10.1016/j.tws.2015.08.021

    Article  Google Scholar 

  17. Graczykowski C (2016) Mathematical models and numerical methods for the simulation of adaptive inflatable structures for impact absorption. Comput Struct 174:3–2. https://doi.org/10.1016/j.compstruc.2015.06.017

    Article  Google Scholar 

  18. Wong PK, Xie Z, Zhao J et al (2014) Analysis of automotive rolling lobe air spring under alternative factors with finite element model. J Mech Sci Technol 28(12):5069–5081. https://doi.org/10.1007/s12206-014-1128-9

    Article  Google Scholar 

  19. Lee SJ (2010) Development and analysis of an air spring model. Int J Automot Technol 11(4):471–479. https://doi.org/10.1007/s12239-010-0058-5

    Article  Google Scholar 

  20. Oman S, Nagode M (2013) On the influence of the cord angle on air-spring fatigue life. Eng Fail Anal 27(1):61–73. https://doi.org/10.1016/j.engfailanal.2012.09.002

    Article  Google Scholar 

  21. Oman S, Nagode M (2018) The influence of piston shape on air-spring fatigue life. Fatigue Fract Eng Mater Struct 41(5):1019–1031. https://doi.org/10.1111/ffe.12748

    Article  Google Scholar 

  22. Khandan A, Jazayeri H, Fahmy MD et al (2017) Hydrogels: types, structure, properties, and applications. Front Biomater Bentham Sci 4(27):143–169

    Article  Google Scholar 

  23. Heydary HA, Karamian E, Poorazizi E et al (2015) A novel nano-fiber of iranian gum tragacanth-polyvinyl alcohol/nanoclay composite for wound healing applications. J Mater Process Technol 11(2015):176–182. https://doi.org/10.1016/j.mspro.2015.11.079

    Article  CAS  Google Scholar 

  24. Pearce S (2012) Effect of strain-energy function and axial prestretch on the bulges, necks and kinks forming in elastic membrane tubes. Math Mech Solids 17(8):860–875. https://doi.org/10.1177/1081286511433084

    Article  Google Scholar 

  25. Pawlikowski M (2014) Non-linear approach in visco-hyperelastic constitutive modelling of polyurethane nanocomposite. Mech Time-Dependent Mater 18(1):1–20. https://doi.org/10.1007/s11043-013-9208-2

    Article  CAS  Google Scholar 

  26. Ogden R (1972) Large deformation isotropic elasticity-on the correlation of theory and experiment for incompressible rubberlike solids. Proceedings of the Royal Society of London. Math Phys Sci 326(1567):565–584. https://doi.org/10.1098/rspa.1972.0096

    Article  CAS  Google Scholar 

  27. Venter MP, Venter G (2012) Overview of the development of a numerical model for an inflatable paper dunnage bag. Packag Technol Sci 25(8):467–483. https://doi.org/10.1002/pts.991

    Article  Google Scholar 

  28. Winter DA (2009) Biomechanics and motor control of human movement, 4th edn. John Wiley & Sons Inc, New York

    Book  Google Scholar 

Download references

Funding

The authors received the fund of the National Key R&D Program of China (No. 2021YFC0122700) and the fund of the National Nature Science Foundation of China (No.61871173).

Author information

Authors and Affiliations

Authors

Contributions

Yunxuan Xiao implemented the whole study and wrote the initial draft of the manuscript. Teng Liu designed the study and gave Yunxuan Xiao significant guidance about the numerical simulation modeling method of loaded airbag inflation. Zhong Zhang participated in experiment preparation and data collection. Jianjun Zhang gave crucial comments onto this work for improving its technical route. Shijie Guo contributed to analyses and interpretations of data and assisted in the model verification.

In short, all authors contributed to the study conception and design. All authors approved the final manuscript and were accountable for the study, ensuring that data generated or analyzed in this study are available.

Corresponding author

Correspondence to Teng Liu.

Ethics declarations

Ethical approval

Not applicable.

Consent to participate

All authors consent to participate in the author team of this submitted manuscript.

Consent for publication

The submitted manuscript is approved by all its authors for publication.

Competing interests

The authors declare no competing interests.

Additional information

Publisher's note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Xiao, Y., Liu, T., Zhang, Z. et al. Numerical simulation-based loaded inflation height modeling of nursing bed airbag. Med Biol Eng Comput 60, 3231–3242 (2022). https://doi.org/10.1007/s11517-022-02671-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11517-022-02671-4

Keywords

Navigation