#NXCAE13: University of California Riverside and Saratech
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#NXCAE13: University of California Riverside and Saratech

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Shannon Gott, Ph. D. Candidate, University of California Riverside (Bourns School of Engineering) and Andrew Jabola, Application Engineer, Saratech (Siemens Partner) delivered the following ...

Shannon Gott, Ph. D. Candidate, University of California Riverside (Bourns School of Engineering) and Andrew Jabola, Application Engineer, Saratech (Siemens Partner) delivered the following presentation on how to develop and refine titanium micromachining techniques to create nanopatterned titanium stents. This is based on the hypothosis that rationally-designed surface nanopatterning will enhance desired vascular cell responses relative to uncontrolled surfaces.

Andrew and Shannon used NX 8.5 Advanced Simulation for Pre/Post and for teh solver – NX NASTRAN 8.5 Advanced Nonlinear (ADINA) 601/129 NL Transient Solution.

Watch a video of Shannon and Andrew:

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#NXCAE13: University of California Riverside and Saratech #NXCAE13: University of California Riverside and Saratech Presentation Transcript

  • NX CAE Symposium 2013 Andrew Jabola, Application Engineer, Saratech Inc. Shannon Gott (Ph. D. Candidate) & Masaru Rao (Assistant Professor), University of California - Riverside Planar Titanium Stent Design A Modern CAE Environment: Enabling Smarter Decisions
  • Agenda Objective Background: Motivation for Stenting Planar Stent Challenges FEA: The Key to Redesign Post-processing Comparison Against Physical Test Data Lessons Learned 2
  • Objective Develop and refine titanium micromachining techniques to create nanopatterned titanium stents Solve current stent limitations with physical means Hypothesis: rationally-designed surface nanopatterning will enhance desired vascular cell responses relative to uncontrolled surfaces 3
  • Background: Heart Disease Heart disease is the leading cause of death in the U.S. Most common form of heart disease is cardiovascular disease (CVD) CVD is caused by atherosclerosis, characterized by plaque build up Image from Texas Heart Institute: http://www.texasheart.org/hic/topics/cond/carotidarterydisease.cfm 4
  • Background: CVD Treatment Three treatment options Drugs Catheter assisted procedures: Stenting Coronary artery bypass surgery Image from National Heart Lung and Blood Institute: http://www.nhlbi.nih.gov/health/dci/Diseases/stents/stents_all.html 5
  • Background: Stents Today’s stents have a variety of problems Stents damage artery wall lining Potential complications Bare-metal stents (BMS) : Restenosis – smooth muscle build up Drug-eluting stents (DES) : Thrombosis – blood clotting 6 Images from Curfman GD et al., NEJM. 2007;256:1059-1060
  • Planar Stent Fabrication Nanopatterning fabrication techniques are inherently planar Pattern Fabrication Using an approach demonstrated by Takahata & Gianchandani, we have circumvented this limitation 7
  • Planar Stent Expansion Planar to 3D stent transformation a) 80 µm thick, deep-etched planar Ti stent b) Tapered needle weaved through to create compact cylindrical geometry c) Balloon-mounted stent High uniformity of stent struts! d) Stent after deployment in 3 mm I.D. mock artery 8
  • Planar Stent Radial Stiffness Testing Radial stiffness is important for patency Displacement control with load response recorded Current Ti stents possess about half the radial stiffness of commercial stainless steel stents Stent Force-Displacement Data Possible reasons for lower radial stiffness: Material Properties Less material Design 9
  • FEA Objective Analyze and Correlate current planar stent design by Takahata against physical test data Optimize future designs using FEA and verify using physical test Takahata Design Future Design 10
  • Analysis Challenges Highly Nonlinear Analysis Large Displacement/Large Strain Difficult Contact Analysis both in Expansion and Crushing Nonlinear Material Properties 11
  • Analysis Objective Expand Stent to match deployed configuration Stent is expanded to 3 mm in diameter Crush Stent to correlate against physical test data Stent is crushed back to 1.5 mm for correlation 12
  • Analysis Setup Pre/Post – NX 8.5 – Advanced Simulation Solver – NX NASTRAN 8.5 Advanced Nonlinear (ADINA) 601/129 NL Transient Solution Solution Timesteps (time/time steps) Expansion (100 s/410 time steps) Expander Relax (25 s/50 time steps) Crush (75 s/200 time steps) 13
  • Analysis Setup Material – Grade 1 Commercial Pure Titanium Isotropic, Plastic, Setup with a NL Stress-Strain Curve Stress-Strain Curve determined through tensile testing by UC Riverside Isotropic Hardening 14
  • Analysis Setup Stress-Strain Curve Data points were reduced from actual test data Titanium Stress-Strain Curve 300 Stress (MPa) 250 200 150 100 50 0 0 0.02 0.04 0.06 Strain (mm/mm) 0.08 0.1 0.12 0.14 15
  • Analysis Setup Stent Modeled using solid elements (~20K) Reduced to a single link for reduction in computation time 16
  • Analysis Setup Needle/Balloon Modeled using Plate Elements Enforced Displacements used to expand 17
  • Analysis Setup Crushing Mechanism Modeled using plates and RBE2s 18
  • Analysis Setup Elements Overall Element size is 0.015 mm Linear Solid (HEX/WEDGE) and Plate Elements used Plate Region is also the same resolution for contact considerations Element Count: 216732 elements 19
  • Analysis Setup Boundary Conditions – Stent Stent was constrained only in Y at ends Y+ 20
  • Analysis Setup Boundary Conditions – Balloons Enforced Displacements used on balloons 1) Balloons Initial Translate in Z directions to initially expand stent 2) Center Plate Radial expands to fully deploy stent 21
  • Analysis Setup Boundary Conditions – Initial Expansion 22
  • Analysis Setup Boundary Conditions – Full Deploy (3 mm) 23
  • Analysis Setup Boundary Conditions – Plates Enforced Displacements at RBEs used for crushing 1.5 mm 24
  • Analysis Setup Boundary Conditions – Animation 25
  • Analysis Setup Contact Conditions Frictionless Contact Contact Birth/Death Used for expansion and crushing 26
  • Analysis NX NASTRAN Adv. NL (ADINA) – 601/129 Transient Analysis Solution Memory: 5.4 GB 27
  • Post-processing Test Correlation Indicators Visual Deformation Crushing Reaction Force 28
  • Deformation Analysis Results
  • Results Deformation - Comparison 30
  • Results Deformation - Comparison 31
  • Results Deformation - Comparison 32
  • Results Reaction Force – Crushing Force Processed as N/mm of link length (link length 0.8 mm) Reaction Force taken at end of RBE 33
  • Results Reaction Force – FEA vs. Physical Test 34
  • Lessons Learned Analysis was product of many runs Following is list of important parameters and lessons learned while running SOL 601/129 These can be applied to many other NL analyses 35
  • Lessons Learned General Tips Step-by-Step – Analyze in pieces, don’t try and setup entire analysis in one shot Time Step Optimization – Place Time Steps only where you need them Automatic Time Stepping is a must (should be a default) 36
  • Lessons Learned Contact Parameters and Mesh Resolution Line Search – Turn this on to help with contact problems Mesh Resolution – Meshes must match between contact to get most accurate force results Contact Damping is required, but needs to be tuned, otherwise results can be odd 37
  • Future Work Future Work is being carried on by Shannon Gott of UC Riverside Optimization of design to increase stiffness Fatigue Life Analysis 38
  • Conclusion Correlation between physical test data and FEA was achieved using NX NASTRAN and NX CAE Many lessons learned that are applicable to many nonlinear situations Provides Basis for future work 39
  • Q/A 40
  • References 1. 2. 3. 4. 5. 6. J. Lu, M. P. Rao, N. C. MacDonald, D. Khang and T. J. Webster, Acta Biomaterialia, 2008, 4, 192-201. P. Vandrangi, S. C. Gott, V. G. J. Rodgers and M. P. Rao, presented in part at the 7th International Conference on Microtechnologies in Medicine and Biology, Marina Del Rey, CA, April 10 – 12, 2013, 2013. A. W. Martinez and E. L. Chaikof, Wiley Interdiscip. Rev.-Nanomed. Nanobiotechnol., 2011, 3, 256-268. M. F. Aimi, M. P. Rao, N. C. Macdonald, A. S. Zuruzi and D. P. Bothman, Nat. Mater., 2004, 3, 103-105. E. R. Parker, B. J. Thibeault, M. F. Aimi, M. P. Rao and N. C. MacDonald, J. Electrochem. Soc., 2005, 152, C675-C683. K. Takahata and Y. B. Gianchandani, J. Microelectromech. Syst., 2004, 13, 933-939. 41