Latent damage assessment and prognostication of residual life in airborne lead-free electronics under thermo-mechanical loads

Aerospace-electronic systems usually face a very harsh environment, requiring them to survive the high strain rates, e.g. during launch and re-entry and thermal environments including extreme low and high temperatures. Traditional health monitoring methodologies have relied on reactive methods of failure detection often providing little or no insight into the remaining useful life of the system. In this paper, a mathematical approach for interrogation of system state under cyclic thermo-mechanical stresses has been developed for 6-different leadfree solder alloy systems. Data has been collected for leading indicators of failure for alloy systems including, Sn3Ag0.5Cu, Sn3Ag0.7Cu, Sn1Ag0.5Cu, Sn0.3Ag0.5Cu0.1Bi, Sn0.2Ag0.5Cu0.1Bi0.1Ni, 96.5Sn3.5Ag second-level interconnects under the application of cyclic thermo-mechanical loads. Methodology presented resides in the pre-failure space of the system in which no macro-indicators such as cracks or delamination exist. Systems subjected to thermo-mechanical damage have been interrogated for system state and the computed damage state correlated with known imposed damage. The approach involves the use of condition monitoring devices which can be interrogated for damage proxies at finite time-intervals. Interrogation techniques are based on derivation of damage proxies, and system prior damage based non-linear least-squares methods including the Levenberg-Marquardt Algorithm. The systempsilas residual life is computed based on residual-life computation algorithms.

[1]  G. Vachtsevanos,et al.  Wavelet neural networks for eeg modeling and classification , 1995 .

[2]  D. Allen Probabilities associated with a built-in-test system, focus on false alarms , 2003, Proceedings AUTOTESTCON 2003. IEEE Systems Readiness Technology Conference..

[3]  Michael Pecht,et al.  In-situ sensors for product reliability monitoring , 2002, Symposium on Design, Test, Integration, and Packaging of MEMS/MOEMS.

[4]  K.S.C. Kuang,et al.  Fiber Optic Sensing for Monitoring Corrosion-Induced Damage , 2004 .

[5]  R. Vinci,et al.  Microstructural evolution in lead-free solder alloys: Part I. Cast Sn–Ag–Cu eutectic , 2004 .

[6]  Wing Kong Chiu,et al.  Structural Health Monitoring in the Railway Industry: A Review , 2005 .

[7]  Hans Conrad,et al.  Microstructure coarsening during static annealing of 60Sn40Pb solder joints: I stereology , 2001 .

[8]  C. Furlong,et al.  Development and characterization of a wireless mems inertial system for health monitoring of structures , 2005 .

[9]  J. Lee,et al.  Feature extraction and damage-precursors for prognostication of lead-free electronics , 2006, ECTC 2006.

[10]  R. Gao,et al.  BIT for intelligent system design and condition monitoring , 2001, IMTC 2001. Proceedings of the 18th IEEE Instrumentation and Measurement Technology Conference. Rediscovering Measurement in the Age of Informatics (Cat. No.01CH 37188).

[11]  Sung K. Kang,et al.  The microstructure of Sn in near-eutectic Sn–Ag–Cu alloy solder joints and its role in thermomechanical fatigue , 2004 .

[12]  P. Lall,et al.  Prognostics and Health Management of Electronic Packaging , 2006, IEEE Transactions on Components and Packaging Technologies.

[13]  P. Lall,et al.  Prognostication and health monitoring of leaded and lead free electronic and MEMS packages in harsh environments , 2005, Proceedings Electronic Components and Technology, 2005. ECTC '05..

[14]  S. Jadhav,et al.  Impression creep testing and microstructurally adaptive creep modeling of lead free solder interconnects , 2005, EuroSimE 2005. Proceedings of the 6th International Conference on Thermal, Mechanial and Multi-Physics Simulation and Experiments in Micro-Electronics and Micro-Systems, 2005..

[15]  J. W. Morris,et al.  The Role of Microstructure in Thermal Fatigue of Pb-Sn Solder Joints , 1991 .

[16]  Kaj Madsen,et al.  Methods for Non-Linear Least Squares Problems , 1999 .

[17]  J. W. Morris,et al.  Observations on the Mechanisms of Fatigue in Eutectic Pb-Sn Solder Joints , 1989 .

[18]  William D. Armstrong,et al.  Aging Effects on Microstructure and Tensile Property of Sn3.9Ag0.6Cu Solder Alloy , 2004 .

[19]  Parker,et al.  Design for Testability—A Survey , 1982, IEEE Transactions on Computers.

[20]  D. W. Henderson,et al.  Isothermal Fatigue Behavior of the Near-Eutectic Sn-Ag-Cu Alloy between −25°C and 125°C , 2007 .

[21]  Zonghe Lai,et al.  Microstructural coarsening of lead free solder joints during thermal cycling , 2000, 2000 Proceedings. 50th Electronic Components and Technology Conference (Cat. No.00CH37070).

[22]  D. W. Henderson,et al.  Evaluation of thermal fatigue life and failure mechanisms of Sn-Ag-Cu solder joints with reduced Ag contents , 2004, 2004 Proceedings. 54th Electronic Components and Technology Conference (IEEE Cat. No.04CH37546).

[23]  Oleg N. Senkov,et al.  Grain growth in a superplastic Zn-22% Al alloy , 1986 .

[24]  Jay Lee,et al.  Feature extraction and damage-precursors for prognostication of lead-free electronics , 2006, 56th Electronic Components and Technology Conference 2006.

[25]  William D. Callister,et al.  Materials Science and Engineering: An Introduction , 1985 .

[26]  I. Dutta A constitutive model for creep of lead-free solders undergoing strain-enhanced microstructural coarsening: A first report , 2003 .

[27]  D. R. Frear,et al.  Microstructural evolution during thermomechanical fatigue of 62 Sn-36 Pb-2 Ag and 60 Sn-40 Pb solder joints , 1990, 40th Conference Proceedings on Electronic Components and Technology.

[28]  D. Frear,et al.  Microstructural evolution during thermomechanical fatigue of 62 Sn-36 Pb-2 Ag and 60 Sn-40 Pb solder joints , 1990, 40th Conference Proceedings on Electronic Components and Technology.

[29]  P. Lall,et al.  Prognostics Health Monitoring (PHM) for Prior-Damage Assessment in Electronics Equipment under Thermo-Mechanical Loads , 2007, 2007 Proceedings 57th Electronic Components and Technology Conference.

[30]  R. Cahn,et al.  Materials science and engineering , 2023, Nature.

[31]  V Parsonnet,et al.  Feasibility and Initial Results of an Internet‐Based Pacemaker and ICD Pulse Generator and Lead Registry , 2001, Pacing and clinical electrophysiology : PACE.

[32]  Michael P. Culmo,et al.  Monitoring Bridge Performance , 2002 .

[33]  Benoit Nadeau-Dostie,et al.  BIST of PCB interconnects using boundary-scan architecture , 1992, IEEE Trans. Comput. Aided Des. Integr. Circuits Syst..

[34]  C. Ball,et al.  Prognostics and Condition Based Maintenance ( CBM ) A Scientific Crystal Ball , 2003 .

[35]  Daniel Lewis,et al.  Microstructural evolution in lead-free solder alloys: Part II. Directionally solidified Sn-Ag-Cu, Sn-Cu and Sn-Ag , 2004 .

[36]  D. Rosenthal,et al.  Predicting and eliminating built-in test false alarms , 1990 .

[37]  John E. T. Penny,et al.  Crack Modeling for Structural Health Monitoring , 2002 .

[38]  Manolis I. A. Lourakis A Brief Description of the Levenberg-Marquardt Algorithm Implemented by levmar , 2005 .

[39]  Steven Y. Liang,et al.  BEARING CONDITION DIAGNOSTICS VIA VIBRATION AND ACOUSTIC EMISSION MEASUREMENTS , 1997 .

[40]  Andrew Hess,et al.  Prognostics, from the need to reality-from the fleet users and PHM system designer/developers perspectives , 2002, Proceedings, IEEE Aerospace Conference.

[41]  A. Bodensohn,et al.  System Monitoring for Lifetime Prediction in Automotive Industry , 2005 .

[42]  P. Lall,et al.  Leading indicators-of-failure for prognosis of electronic and MEMS packaging , 2004, 2004 Proceedings. 54th Electronic Components and Technology Conference (IEEE Cat. No.04CH37546).

[43]  Y. Zorian A structured testability approach for multi-chip modules based on BIST and boundary-scan , 1994 .

[44]  Qiang Yu,et al.  Evaluation of Microstructural Evolution and Thermal Fatigue Crack Initiation in Sn-Ag-Cu Solder Joints , 2003 .

[45]  Indranath Dutta,et al.  Creep and Microstructural Evolution in Lead-Free Microelectronic Solder Joints , 2003 .

[46]  Leonard J. Bond Predictive engineering for aging infrastructure , 1999, Smart Structures.

[47]  R. A. Pawlowski,et al.  Gas Turbine Engine Health Monitoring and Prognostics , 1999 .

[48]  P. Lall,et al.  Model for BGA and CSP reliability in automotive underhood applications , 2004, IEEE Transactions on Components and Packaging Technologies.

[49]  Anne-Frédérique Nemayer,et al.  [Brazing and soldering]. , 2009, L' Orthodontie francaise.

[50]  C. Furlong,et al.  Development and characterization of a wireless mems inertial system for health monitoring of structures , 2005 .

[51]  Jason S. Kiddy,et al.  Fiber optic structural health monitoring system: rough sea trials testing of the RV Triton , 2002, OCEANS '02 MTS/IEEE.

[52]  Gerard Franklyn Fernando,et al.  Structural Integrity Monitoring of Concrete Structures via Optical Fiber Sensors: Sensor Protection Systems , 2003 .

[53]  Thomas W. Williams,et al.  Design for Testability - A Survey , 1982, IEEE Trans. Computers.

[54]  R. M. Kent,et al.  Structural health monitoring: degradation mechanisms and system requirements , 2000, 19th DASC. 19th Digital Avionics Systems Conference. Proceedings (Cat. No.00CH37126).

[55]  Alison B. Flatau,et al.  Review Paper: Health Monitoring of Civil Infrastructure , 2003 .

[56]  A. S. Sekhar,et al.  Identification of a Crack in a Rotor System using a Model-based Wavelet Approach , 2003 .

[57]  Da-Yuan Shih,et al.  Microstructure and mechanical properties of lead-free solders and solder joints used in microelectronic applications , 2005, IBM J. Res. Dev..

[58]  H. B. Nielsen DAMPING PARAMETER IN MARQUARDT ’ S METHOD , 1999 .

[59]  R. Drees,et al.  Role of BIT in support system maintenance and availability , 2004, IEEE Aerospace and Electronic Systems Magazine.

[60]  S.J.C. Dyne,et al.  Satellite mechanical health monitoring , 1992 .

[61]  J. P. M. Smeulers,et al.  PROMIS - A generic PHM methodology applied to aircraft subsystems , 2002, Proceedings, IEEE Aerospace Conference.

[62]  R. Chandramouli,et al.  Testing systems on a chip , 1996 .