TY - JOUR
T1 - A comparison between predictive modelling approaches for spirally reinforced composite catheter tubing using Classical Statistical DOE and a Custom DOE Design
AU - Sean Lynn, A.
AU - David Tanner, B.
AU - Alan Ryan, C.
AU - Philip O'Malley, D.
AU - Sean Moore, E.
N1 - Publisher Copyright:
© 2020 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/) Peer-review under responsibility of the scientific committee of the FAIM 2021.
PY - 2020
Y1 - 2020
N2 - The Medical Device industry lags other industries such as automotive and aerospace in terms of the use of predictive modeling as a design tool. This has started to change with growing experience being established with metal scaffold type structures (stents, Transcatheter aortic valve structures etc.). However, these computational methods are generally used with structures that are composed of a single material type as with Finite Element Analysis (FEA). Composite interventional catheters generally features 3-layer composite structures (polymer layer A/Metal reinforcement layer B/polymer layer C) which offer different challenges than single material structures in terms of predictive modeling. The results achieved with two different Experimental Design or Design of Experiments (DOE) based predictive modeling methodologies will be compared. The Classic DOE approach is based on a full factorial DOE with center points. The Custom DOE approach is based on the full factorial approach but is augmented with a series of experiments to fill the internal design space more completely rather than rely on just taking sample points predominantly around the boundaries of the design space as in classic DOE. Results generated from both approaches relate to catheter performance criteria of value in early stage composite catheter design. Strengths and drawbacks of both modeling approaches are discussed.
AB - The Medical Device industry lags other industries such as automotive and aerospace in terms of the use of predictive modeling as a design tool. This has started to change with growing experience being established with metal scaffold type structures (stents, Transcatheter aortic valve structures etc.). However, these computational methods are generally used with structures that are composed of a single material type as with Finite Element Analysis (FEA). Composite interventional catheters generally features 3-layer composite structures (polymer layer A/Metal reinforcement layer B/polymer layer C) which offer different challenges than single material structures in terms of predictive modeling. The results achieved with two different Experimental Design or Design of Experiments (DOE) based predictive modeling methodologies will be compared. The Classic DOE approach is based on a full factorial DOE with center points. The Custom DOE approach is based on the full factorial approach but is augmented with a series of experiments to fill the internal design space more completely rather than rely on just taking sample points predominantly around the boundaries of the design space as in classic DOE. Results generated from both approaches relate to catheter performance criteria of value in early stage composite catheter design. Strengths and drawbacks of both modeling approaches are discussed.
KW - Composite catheter design
KW - Design of experiments
KW - DOE
KW - Interventional catheter
KW - Medical device design
KW - Predictive model
UR - http://www.scopus.com/inward/record.url?scp=85099828766&partnerID=8YFLogxK
U2 - 10.1016/j.promfg.2020.10.136
DO - 10.1016/j.promfg.2020.10.136
M3 - Conference article
AN - SCOPUS:85099828766
SN - 2351-9789
VL - 51
SP - 967
EP - 974
JO - Procedia Manufacturing
JF - Procedia Manufacturing
T2 - 30th International Conference on Flexible Automation and Intelligent Manufacturing, FAIM 2021
Y2 - 15 June 2021 through 18 June 2021
ER -