TY - JOUR
T1 - Refining early stage interventional composite catheter design
AU - Lynn, Sean
AU - O'Malley, Philip
AU - Tanner, David
AU - Moore, Sean
N1 - Publisher Copyright:
© 2019 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
PY - 2019
Y1 - 2019
N2 - The development paths of interventional medical devices are long and involve a significant numbers of iterative design steps. Composite interventional catheters deliver implants, facilitate the deployment of delicate therapeutic instruments, measure pressures and temperatures and can remove clots and foreign bodies. This paper summarizes the history of composite interventional catheters and the key evolutions in terms of materials and reinforcement structures. The current design practices, performance standards and general guidance available to assist composite interventional catheter design are reviewed. The environmental factors that affect the companies in which many of the leading edge interventional composite catheter designs are developed are also examined. A Predictive Modelling Framework is proposed to guide the design of composite interventional catheters to meet the key user needs. Two distinct but compatible methodologies are selected: The first method involves use of a DOE (Design of Experiments) approach to understand the influence of key variables on final catheter properties; The second involves the creation of customizable Finite Element models of the various potential catheter structures. The results of the predictive model constructed based on the DOE approach for braided composite catheters are presented and compared with experimental data. The DOE shows good alignment with experimental data in most cases. The sources of noise and error in the initial model are examined and potential improvements and learnings are discussed, with special focus on the results with poorer alignment.
AB - The development paths of interventional medical devices are long and involve a significant numbers of iterative design steps. Composite interventional catheters deliver implants, facilitate the deployment of delicate therapeutic instruments, measure pressures and temperatures and can remove clots and foreign bodies. This paper summarizes the history of composite interventional catheters and the key evolutions in terms of materials and reinforcement structures. The current design practices, performance standards and general guidance available to assist composite interventional catheter design are reviewed. The environmental factors that affect the companies in which many of the leading edge interventional composite catheter designs are developed are also examined. A Predictive Modelling Framework is proposed to guide the design of composite interventional catheters to meet the key user needs. Two distinct but compatible methodologies are selected: The first method involves use of a DOE (Design of Experiments) approach to understand the influence of key variables on final catheter properties; The second involves the creation of customizable Finite Element models of the various potential catheter structures. The results of the predictive model constructed based on the DOE approach for braided composite catheters are presented and compared with experimental data. The DOE shows good alignment with experimental data in most cases. The sources of noise and error in the initial model are examined and potential improvements and learnings are discussed, with special focus on the results with poorer alignment.
KW - Composite catheters
KW - Design of experiments
KW - Early stage concept development
KW - Medical device design
UR - http://www.scopus.com/inward/record.url?scp=85083533576&partnerID=8YFLogxK
U2 - 10.1016/j.promfg.2020.01.037
DO - 10.1016/j.promfg.2020.01.037
M3 - Conference article
AN - SCOPUS:85083533576
SN - 2351-9789
VL - 38
SP - 282
EP - 290
JO - Procedia Manufacturing
JF - Procedia Manufacturing
T2 - 29th International Conference on Flexible Automation and Intelligent Manufacturing, FAIM 2019
Y2 - 24 June 2019 through 28 June 2019
ER -