NDLI: Predicting field performance based on FEA and Monte Carlo simulation techniques

Content Provider	IEEE Xplore Digital Library
Author	Berg, R.M. Vaidya, S.
Copyright Year	2013
Description	Author affiliation: Medtronic Neuromodulation, Minneapolis, MN, USA (Berg, R.M.; Vaidya, S.)
Abstract	Today Active Implantable Medical Devices (AIMDs) are being used for a variety of therapies intended to enhance the quality for patients suffering from disabling diseases. The Implantable Neurostimulator (INS) is part of the Activa Deep Brain Stimulation (DBS) system developed for the treatment of movement disorders. A few years after initial release a small number of devices were returned for analysis of repeated power-on-reset (POR), intermittency, or loss of output. Analysis determined the cause of failure to be cyclic fatigue fracture of the B+ battery bond wires at the heel of the bond. Corrective action was to increase package stiffness and reduce the amount of micromotion between the hybrid and battery. Bench test results showed a significant improvement in performance. Analytical methods were then applied to predict how the improved lab performance would translate into field performance. The stresses at the heels of the wire bonds were modeled utilizing the COMSOL Multiphysics finite element analysis (FEA) package. The results were applied to a fatigue crack growth equation. Monte Carlo simulation of the variables shows a significant difference between the two different device configurations consistent with bench testing and field performance to date.
Sponsorship	IEEE Reliability Soc.
Starting Page	1
Ending Page	5
File Size	1082596
Page Count	5
File Format	PDF
ISBN	9781467347099
ISSN	0149144X
e-ISBN	9781467347112
DOI	10.1109/RAMS.2013.6517649
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-01-28
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Batteries Wires Fatigue Monte Carlo methods Stress Mathematical model Performance evaluation Implantable Neurostimulator (INS) Active Implantable Medical Device (AIMD) Finite Element Analysis (FEA) Monte Carlo Analysis Physics of Failure Deep Brain Stimulation (DBS) Therapy
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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