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A NOVEL MODEL FOR THE MATERIAL SELECTION OF SMART OBJECTS FOR HAND-REHABILITATION: A CASE STUDY

Published online by Cambridge University Press:  19 June 2023

Mikaël Ivar Bos
Affiliation:
Chair of Systems Engineering and Multidisciplinary Design, Department of Design, Production, and Management, Faculty of Engineering Technology, University of Twente, Enschede, Netherlands;
Armağan Karahanoğlu
Affiliation:
Interaction Design Research Group, Department of Design, Production, and Management, Faculty of Engineering Technology, University of Twente, Enschede, Netherlands;
Juliet Haarman
Affiliation:
Human Media Interaction Group, Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, Enschede, Netherlands
Kostas Nizamis*
Affiliation:
Chair of Systems Engineering and Multidisciplinary Design, Department of Design, Production, and Management, Faculty of Engineering Technology, University of Twente, Enschede, Netherlands;
*
Nizamis, Kostas, University of Twente, Netherlands, The [email protected]

Abstract

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Home hand rehabilitation for stroke is becoming increasingly important due to logistic and financial challenges. Developing Daily-life Integrated Hand-rehabilitation Products (DIHP) aims to enable the application of at-home rehabilitation. The materials of these products are essential for their success, however, selecting materials for DIHP has not been investigated yet. Previous research on material selection showed that it is done strictly on material properties or based on a human-centered approach. Hence, in this study, we propose a hybrid model for choosing materials for DIHP. To achieve this, we first combined the findings of previous material selection processes into a comprehensive material selection model. We applied this model in a case study, in which we first selected three materials based on their properties. Following, we 3d printed a DIHP out of the chosen materials and tested the feeling of the materials with multiple expert groups. Our findings suggest that the proposed material selection method is promising and highlights that our comprehensive model provides more insights when compared to a strict material property-based selection.

Type
Article
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2023. Published by Cambridge University Press

References

inc, ANSYS. (2022), “Ansys GRANTA EduPack software”, Cambridge, UK.Google Scholar
Ashby, M. (2010), “Materials Selection in Mechanical Design”, Materials Selection in Mechancial Design, fourth., Buttersworth-Heinemann.CrossRefGoogle Scholar
Ashby, M., Shercliff, H. and Cebon, D. (2019), Materials: Engineering, Science Processing and Design, 4th ed., Butterworth-Heinemann.Google Scholar
Brechet, Y., Bassetti, D., Landru, D. and Salvo, L. (2001), “Challenges in materials and process selection”, Progress in Materials Science, Vol. 46, pp. 407428.CrossRefGoogle Scholar
Coleman, E.R., Moudgal, R., Lang, K., Hyacinth, H.I., Awosika, O.O., Kissela, B.M. and Feng, W. (2017), “Early Rehabilitation After Stroke: a Narrative Review”, Current Atherosclerosis Reports, Curr Atheroscler Rep, Vol. 19 No. 12, https://dx.doi.org/10.1007/S11883-017-0686-6.CrossRefGoogle Scholar
Edwards, K. (2013), Materials Experience: Chapter 20. Interaction between Functional and Human-Centered Attributes in Materials Selection, Butterworth-Heinemann.CrossRefGoogle Scholar
Farag, M.M. (2013), “Materials and process selection for engineering design: Third edition”, Materials and Process Selection for Engineering Design: Third Edition, CRC Press, pp. 1495, https://dx.doi.org/10.1201/B16047/MATERIALS-PROCESS-SELECTION-ENGINEERING-DESIGN-MAHMOUD-FARAG.CrossRefGoogle Scholar
Faucheu, J., Antonio, C., Curto, B.D. and Delafosse, D. (2015), “Experimental setup for visual and tactile evaluation of materials and products through Napping® procedure.”, 20th International Conference on Engineering Design (ICED15), Milan, Italy.Google Scholar
Friedman, N., Chan, V., Reinkensmeyer, A.N., Beroukhim, A., Zambrano, G.J., Bachman, M. and Reinkensmeyer, D.J. (2014), “Retraining and assessing hand movement after stroke using the MusicGlove: Comparison with conventional hand therapy and isometric grip training”, Journal of NeuroEngineering and Rehabilitation, BioMed Central Ltd., Vol. 11 No. 1, pp. 114, https://dx.doi.org/10.1186/1743-0003-11-76/FIGURES/9.Google ScholarPubMed
Gibson, I., Rosen, D. and Stucker, B. (2015), “Additive manufacturing technologies: 3D printing, rapid prototyping, and direct digital manufacturing, second edition”, Additive Manufacturing Technologies: 3D Printing, Rapid Prototyping, and Direct Digital Manufacturing, Second Edition, Springer New York, pp. 1498, https://dx.doi.org/10.1007/978-1-4939-2113-3/COVER.CrossRefGoogle Scholar
Goodin, P., Lamp, G., Vidyasagar, R., McArdle, D., Seitz, R.J. and Carey, L.M. (2018), “Altered functional connectivity differs in stroke survivors with impaired touch sensation following left and right hemisphere lesions”, NeuroImage: Clinical, Elsevier, Vol. 18, pp. 342355, https://dx.doi.org/10.1016/J.NICL.2018.02.012.CrossRefGoogle Scholar
Jahan, A. and Edwards, K.L. (2013), “Multi-criteria Decision Analysis for Supporting the Selection of Engineering Materials in Product Design”, Multi-Criteria Decision Analysis for Supporting the Selection of Engineering Materials in Product Design, Elsevier, pp. 1108, https://dx.doi.org/10.1016/C2012-0-02834-7.CrossRefGoogle Scholar
Kwah, L.K., Harvey, L.A., Diong, J.H.L. and Herbert, R.D. (2012), “Half of the adults who present to hospital with stroke develop at least one contracture within six months: an observational study”, Journal of Physiotherapy, Elsevier, Vol. 58 No. 1, pp. 4147, https://dx.doi.org/10.1016/S1836-9553(12)70071-1.CrossRefGoogle ScholarPubMed
Langhorne, P., Coupar, F. and Pollock, A. (2009), “Motor recovery after stroke: a systematic review”, The Lancet Neurology, Elsevier, Vol. 8 No. 8, pp. 741754, https://dx.doi.org/10.1016/S1474-4422(09)70150-4.CrossRefGoogle Scholar
Larson, E.R. (2015), “Material Selection Based on Feel”, Thermoplastic Material Selection, William Andrew Publishing, pp. 251310, https://dx.doi.org/10.1016/B978-0-323-31299-8.00007-6.CrossRefGoogle Scholar
Ljungberg, L.Y. and Edwards, K.L. (2003), “Design, materials selection and marketing of successful products”, Materials & Design, Elsevier, Vol. 24 No. 7, pp. 519529, https://dx.doi.org/10.1016/S0261-3069(03)00094-3.CrossRefGoogle Scholar
Park, J., Jung, H.T., Daneault, J.F., Park, S., Ryu, T., Kim, Y. and Lee, S.I. (2018), “Effectiveness of the RAPAEL Smart Board for Upper Limb Therapy in Stroke Survivors: A Pilot Controlled Trial”, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, Institute of Electrical and Electronics Engineers Inc., Vol. 2018-July, pp. 24662469, https://dx.doi.org/10.1109/EMBC.2018.8512813.CrossRefGoogle Scholar
Piselli, A., Simonato, M. and Del Curto, B. (2016), “Holistic Approach to Materials Selection in Professional Appliances Industry”.Google Scholar
Sandström, R. (1985), “An approach to systematic materials selection”, Materials & Design, Elsevier, Vol. 6 No. 6, pp. 328338, https://dx.doi.org/10.1016/0261-3069(85)90018-4.CrossRefGoogle Scholar
Sennfält, S., Norrving, B., Petersson, J. and Ullberg, T. (2019), “Long-Term Survival and Function After Stroke”, Stroke, Lippincott Williams & Wilkins Hagerstown, MD, Vol. 50 No. 1, pp. 5361, https://dx.doi.org/10.1161/STROKEAHA.118.022913.CrossRefGoogle ScholarPubMed
Stefess, F., Nizamis, K., Haarman, J. and Karahanoglu, A. (2022), “Gr!pp: Integrating Activities of Daily Living into Hand Rehabilitation”, ACM International Conference Proceeding Series, Association for Computing Machinery, https://dx.doi.org/10.1145/3490149.3505572.CrossRefGoogle Scholar
Stevenson, K. (2020), “Volumetric 3D Printing Is Far More Complex Than You Imagine”.Google Scholar
Ulricht, K. and Eppinger, S. (2004), Product Design and Development, 3rd ed., McGraw-Hil.Google Scholar
Virani, S.S., Alonso, A., Benjamin, E.J., Bittencourt, M.S., Callaway, C.W., Carson, A.P., Chamberlain, A.M., et al. (2020), “Heart Disease and Stroke Statistics—2020 Update: A Report From the American Heart Association”, Circulation, Vol. 141 No. 9, https://dx.doi.org/10.1161/CIR.0000000000000757.CrossRefGoogle ScholarPubMed