Towards Adaptive Prosthetic Sockets using 3D-printed Variable-stiffness Shape-memory Structures
— University of Bristol Skip to main navigation Skip to search Skip to main content University of Bristol Home Help & Terms of Use Home Profiles Research Units Research Outputs Projects Student theses Datasets Activities Prizes Facilities/Equipment Search by expertise, name or affiliation Towards Adaptive Prosthetic Sockets using 3D-printed Variable-stiffness Shape-memory Structures Afonso Pourfarzaneh, Majid Taghavi, Tim Helps, Jonathan Rossiter Department of Engineering Mathematics Intelligent Systems Laboratory Bristol Robotics Laboratory Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding) 2 Citations (Scopus) 152 Downloads (Pure) Overview Fingerprint Abstract Many amputees experience pain and soreness due to poor fitting of their prosthetic socket, which is exacerbated by inevitable changes in volume and shape of their residual limb. This work presents an adjustable, adaptive residual-limb-fitting concept: integrating a 3D-printed variable-stiffness (VS) interface layer within the socket. We exploit the glass-transition behaviour of polylactic acid (PLA), demonstrating 3D-printed structures that can be transitioned from a rigid state to a soft state, simply by heating. This not only enables the socket to be adjusted to fit the individual’s residual limb, but also allows tuning of its stiffness by changing the internal structure of theinterface layer. The mechanical properties of 3D-printed variable-stiffness structures are investigated, and the shape-memory effect of PLA is also captured to deliver 3D-printed shape-memory structures that can recover from deformation when heated Original language English Title of host publication RoboSoft 2019 - 2019 IEEE International Conference on Soft Robotics Publisher Institute of Electrical and Electronics Engineers (IEEE) Pages 410-415 Number of pages 6 ISBN (Electronic) 9781538692608 DOIs https://doi.org/10.1109/ROBOSOFT.2019.8722811 Publication status Published - 27 May 2019 Event 2019 IEEE International Conference on Soft Robotics, RoboSoft 2019 - Seoul, Korea, Republic of Duration: 14 Apr 2019 → 18 Apr 2019 Conference Conference 2019 IEEE International Conference on Soft Robotics, RoboSoft 2019 Country Korea, Republic of City Seoul Period 14/04/19 → 18/04/19 Structured keywords Tactile Action Perception Keywords 3D printing Orthotics Prosthetics Rehabilitation robotics Shape-memory effect Variable-stiffness Access to Document 10.1109/ROBOSOFT.2019.8722811 Full-text PDF (accepted author manuscript) This is the accepted author manuscript (AAM). The final published version (version of record) is available online via IEEE at https://doi.org/10.1109/ROBOSOFT.2019.8722811 . Please refer to any applicable terms of use of the publisher.Accepted author manuscript, 553 KBLicence: Other Other files and links Link to publication in Scopus Fingerprint Dive into the research topics of 'Towards Adaptive Prosthetic Sockets using 3D-printed Variable-stiffness Shape-memory Structures'. Together they form a unique fingerprint. Prosthetics Engineering & Materials Science 100% Shape memory effect Engineering & Materials Science 98% Stiffness Engineering & Materials Science 63% Acids Engineering & Materials Science 55% Glass transition Engineering & Materials Science 34% Tuning Engineering & Materials Science 23% Heating Engineering & Materials Science 21% Mechanical properties Engineering & Materials Science 19% View full fingerprint Cite this APA Author BIBTEX Harvard Standard RIS Vancouver Pourfarzaneh, A., Taghavi, M., Helps, T., & Rossiter, J. (2019). Towards Adaptive Prosthetic Sockets using 3D-printed Variable-stiffness Shape-memory Structures. In RoboSoft 2019 - 2019 IEEE International Conference on Soft Robotics (pp. 410-415). [8722811] Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ROBOSOFT.2019.8722811 Pourfarzaneh, Afonso ; Taghavi, Majid ; Helps, Tim ; Rossiter, Jonathan. / Towards Adaptive Prosthetic Sockets using 3D-printed Variable-stiffness Shape-memory Structures. RoboSoft 2019 - 2019 IEEE International Conference on Soft Robotics. Institute of Electrical and Electronics Engineers (IEEE), 2019. pp. 410-415 @inproceedings{9f3086614d9544b0811fe1d12f2895b6, title = "Towards Adaptive Prosthetic Sockets using 3D-printed Variable-stiffness Shape-memory Structures", abstract = "Many amputees experience pain and soreness due to poor fitting of their prosthetic socket, which is exacerbated by inevitable changes in volume and shape of their residual limb. This work presents an adjustable, adaptive residual-limb-fitting concept: integrating a 3D-printed variable-stiffness (VS) interface layer within the socket. We exploit the glass-transition behaviour of polylactic acid (PLA), demonstrating 3D-printed structures that can be transitioned from a rigid state to a soft state, simply by heating. This not only enables the socket to be adjusted to fit the individual{\textquoteright}s residual limb, but also allows tuning of its stiffness by changing the internal structure of theinterface layer. The mechanical properties of 3D-printed variable-stiffness structures are investigated, and the shape-memory effect of PLA is also captured to deliver 3D-printed shape-memory structures that can recover from deformation when heated", keywords = "3D printing, Orthotics, Prosthetics, Rehabilitation robotics, Shape-memory effect, Variable-stiffness", author = "Afonso Pourfarzaneh and Majid Taghavi and Tim Helps and Jonathan Rossiter", year = "2019", month = may, day = "27", doi = "10.1109/ROBOSOFT.2019.8722811", language = "English", pages = "410--415", booktitle = "RoboSoft 2019 - 2019 IEEE International Conference on Soft Robotics", publisher = "Institute of Electrical and Electronics Engineers (IEEE)", address = "United States", note = "2019 IEEE International Conference on Soft Robotics, RoboSoft 2019 ; Conference date: 14-04-2019 Through 18-04-2019", } Pourfarzaneh, A, Taghavi, M, Helps, T & Rossiter, J 2019, Towards Adaptive Prosthetic Sockets using 3D-printed Variable-stiffness Shape-memory Structures. in RoboSoft 2019 - 2019 IEEE International Conference on Soft Robotics., 8722811, Institute of Electrical and Electronics Engineers (IEEE), pp. 410-415, 2019 IEEE International Conference on Soft Robotics, RoboSoft 2019, Seoul, Korea, Republic of, 14/04/19. https://doi.org/10.1109/ROBOSOFT.2019.8722811 Towards Adaptive Prosthetic Sockets using 3D-printed Variable-stiffness Shape-memory Structures. / Pourfarzaneh, Afonso; Taghavi, Majid; Helps, Tim; Rossiter, Jonathan. RoboSoft 2019 - 2019 IEEE International Conference on Soft Robotics. Institute of Electrical and Electronics Engineers (IEEE), 2019. p. 410-415 8722811. Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding) TY - GEN T1 - Towards Adaptive Prosthetic Sockets using 3D-printed Variable-stiffness Shape-memory Structures AU - Pourfarzaneh, Afonso AU - Taghavi, Majid AU - Helps, Tim AU - Rossiter, Jonathan PY - 2019/5/27 Y1 - 2019/5/27 N2 - Many amputees experience pain and soreness due to poor fitting of their prosthetic socket, which is exacerbated by inevitable changes in volume and shape of their residual limb. This work presents an adjustable, adaptive residual-limb-fitting concept: integrating a 3D-printed variable-stiffness (VS) interface layer within the socket. We exploit the glass-transition behaviour of polylactic acid (PLA), demonstrating 3D-printed structures that can be transitioned from a rigid state to a soft state, simply by heating. This not only enables the socket to be adjusted to fit the individual’s residual limb, but also allows tuning of its stiffness by changing the internal structure of theinterface layer. The mechanical properties of 3D-printed variable-stiffness structures are investigated, and the shape-memory effect of PLA is also captured to deliver 3D-printed shape-memory structures that can recover from deformation when heated AB - Many amputees experience pain and soreness due to poor fitting of their prosthetic socket, which is exacerbated by inevitable changes in volume and shape of their residual limb. This work presents an adjustable, adaptive residual-limb-fitting concept: integrating a 3D-printed variable-stiffness (VS) interface layer within the socket. We exploit the glass-transition behaviour of polylactic acid (PLA), demonstrating 3D-printed structures that can be transitioned from a rigid state to a soft state, simply by heating. This not only enables the socket to be adjusted to fit the individual’s residual limb, but also allows tuning of its stiffness by changing the internal structure of theinterface layer. The mechanical properties of 3D-printed variable-stiffness structures are investigated, and the shape-memory effect of PLA is also captured to deliver 3D-printed shape-memory structures that can recover from deformation when heated KW - 3D printing KW - Orthotics KW - Prosthetics KW - Rehabilitation robotics KW - Shape-memory effect KW - Variable-stiffness UR - http://www.scopus.com/inward/record.url?scp=85067106090&partnerID=8YFLogxK U2 - 10.1109/ROBOSOFT.2019.8722811 DO - 10.1109/ROBOSOFT.2019.8722811 M3 - Conference Contribution (Conference Proceeding) AN - SCOPUS:85067106090 SP - 410 EP - 415 BT - RoboSoft 2019 - 2019 IEEE International Conference on Soft Robotics PB - Institute of Electrical and Electronics Engineers (IEEE) T2 - 2019 IEEE International Conference on Soft Robotics, RoboSoft 2019 Y2 - 14 April 2019 through 18 April 2019 ER - Pourfarzaneh A, Taghavi M, Helps T, Rossiter J. Towards Adaptive Prosthetic Sockets using 3D-printed Variable-stiffness Shape-memory Structures. In RoboSoft 2019 - 2019 IEEE International Conference on Soft Robotics. Institute of Electrical and Electronics Engineers (IEEE). 2019. p. 410-415. 8722811 https://doi.org/10.1109/ROBOSOFT.2019.8722811 Powered by Pure, Scopus & Elsevier Fingerprint Engine™ © 2021 Elsevier B.V. We use cookies to help provide and enhance our service and tailor content. By continuing you agree to the use of cookies Log in to Pure University of Bristol data protection policy About web accessibility
