The Physics-of-Failure approach in reliability engineering

Matić, Zdravko; Sruk, Vlado

doi:10.1109/iti.2008.4588504

Cited by 29 publications

(9 citation statements)

References 12 publications

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“…And the mean value of C, m, n are 2.376E-10, 0.1997, 2.09, respectively. Thus the mean model for cracks before coalescence is formula (12). …”

Section: Resultsmentioning

confidence: 99%

“…Thus the PoF model tend to develope into the Probabilistic Physics of failure(PPoF), which describes the probability function relation between the external environment and the time of failure. [12][13][14] In this paper, 1) the coalescence of two adjucent coplanlar semiellipse cracks is researched via simulation method; 2) probabilistic failure physics(PPoF) models for cracks before and after coalescence are established; 3) life distribution of probability density curves are obtaind by Monte Carlo simulation.…”

Section: Introducitionmentioning

confidence: 99%

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Research on coalescence and probabilistic failure physics modeling of coplanar semiellipse cracks

Sun

et al. 2018

MATEC Web Conf.

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Abstract. Multiple fatigue cracks, causing transient fatigue fracture and resulting in great loss of life and property, are very commen in engineering structures. In order to predict the fatigue life of engineering alloys more accurately, the interaction and coalescence of adjacent cracks was investigated and the four stages of cracks growth were discussed in this paper. The SIF(stress intensity factor) value was found to growth rapidly in the ligament failure, and simulation method was used to find out the coalescence point. Then, the Paris' law was chosen to discribe the crack growth process. Taking random factors like structure size, material properties, environment stress parameter into account, the probability physical of failure model of alloys can predict the failure life more accurate. Accordingly, the uncertain parameters of the Paris' law were updated via Bayesian update method. The posterior distributions of uncertain parameters were obtained by the MCMC-Gibbs sampling. Finally, the probabilistic failure life models before and after coalescence were established by Monte Carlo simulation method. The probabilistic modeling method, which can greatly reduces the historical data or experimental data needed for the reliability evaluation of small sample products, can also be applied to other aspect of physic of failure , effectively saving time and cost. IntroducitionFatigue failures, which occures at stress below the tensile strength or yield strength of alloys is hard to be detected. Since most engineering components are or similarly are subjected to alternating stress. Multiple fatigue cracks causing transient fatigue fracture and resulting in great loss of life and property, are very commen in engineering structures. Crack mainly initiats in localized areas of stress concentratin or material defects [1,2]. Then these initial cracks grow together by interacting with each other, meanwhile shortening the fatigue life with an accelerated crack growth rate [3]. Interaction and coalescence processes of adjacent cracks is the key issue in the study of coplanar fatigue cracks.Various theories have been propounded to assess the growth of adjacent surface cracks growth. The British Standard Institution[4] proposed a prediction method assuming cracks to be indepentend. However this idealize simple model mainly considering the geometric condition of cracks, turned out to be too conservative [5]. Iida [6] assumed that when the cracks touch, a semi-elliptical crack immediately drawn through the outer tips of the two adjucent cracks and through the deepest point of the deeper crack. The study neglected the interaction in calculation between adjucent cracks(the interaction factors γA to F =1) and proposed a simple realistic prediction method. However the a Corresponding

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“…And the mean value of C, m, n are 2.376E-10, 0.1997, 2.09, respectively. Thus the mean model for cracks before coalescence is formula (12). …”

Section: Resultsmentioning

confidence: 99%

Section: Introducitionmentioning

confidence: 99%

Research on coalescence and probabilistic failure physics modeling of coplanar semiellipse cracks

Sun

et al. 2018

MATEC Web Conf.

View full text Add to dashboard Cite

show abstract

“…These simulations generally use failure statistics to derive constant failure rates for components which are then used by experiential rules to predict MTTF or MTBF. However, more recent approaches which include physics of failure (PoF) indicators in addition to statistical failure rate data have been proposed to provide more accurate reliability estimates . In addition to developing more formal and standardised ways of assessing reliability, the physics underlying failure modes has generally been well researched within the IC industry in order to improve products in terms of reliability and/or performance.…”

Section: Challenges For Copper‐plated Silicon Solar Cellsmentioning

confidence: 99%

Challenges facing copper‐plated metallisation for silicon photovoltaics: Insights from integrated circuit technology development

Lennon

Colwell

Rodbell

2018

Progress in Photovoltaics

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Copper‐plated interconnects were widely adopted for volume manufacture of integrated circuits after more than a decade of intensive research to demonstrate that use of Cu would not impact device reliability. However, although Cu‐plated metallisation promises significantly reduced costs for Si photovoltaics, its adoption in manufacturing has not gained the same traction. This review identifies some key challenges facing the introduction of Cu‐plated metallisation for Si photovoltaics. These include the following: (1) increased carrier recombination due to the use of Cu for metal contact formation; (2) reduced module reliability due to adhesion or contact integrity failures; and (3) limited availability of cost‐effective processes and equipment for metal plating. For integrated circuits, Cu's low electrical resistance and high resistance to electromigration provided an impetus for the large investment in process development that was required to realise Cu‐plated interconnects. However, the technical advantages of using Cu for Si solar cell contacts are not as compelling, as solar cells can tolerate larger feature sizes thus reducing the criticality of the contact metal's conductivity and electromigration properties. Additionally, for Si photovoltaics, low cost is paramount, and new challenges arise from the need for modules to absorb light and operate in the field for 25+ years in diverse outdoor climates. However, with the scale of Si photovoltaic manufacturing expected to increase dramatically in the next decade, the use of large quantities of silver for cell metallisation will provide an incentive to address reliability concerns regarding the use of Cu for Si photovoltaic metallisation.

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“…The Kachanav's damage model is deterministic in nature, while prediction of failure is inherently a probabilistic problem due to associated scatter. Matic and Sruc [31] emphasized the need for probabilistic approach to describe the physics-based models and their corresponding parameters. The proposed probabilistic model could explain the creep characteristics and damage evolution of service exposed HP-40 grade of steel used in hydrogen reformer.…”

Section: Quantification Of Creep Cavities After Rupturementioning

confidence: 99%

Uncertainty in Damage Assessment and Remaining Life Prediction of Engineering Materials Used In Petrochemical Industry

A¹

2014

J Pet Environ Biotechnol

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In this paper creep damage assessment of about 11 years' service exposed HP-40 grade of steel used in hydrogen reformer of a petrochemical industry has been carried out in terms of a discontinuous Markov process. Experimentally determined conventional creep data under identical testing condition were used in the present investigation. Scatter and damage accumulation due to creep deformation were evaluated through microstructural assessment using light optical microscope and scanning electron microscope. Quantification of creep damage was made from replicated creep data in terms of two damage parameters A and A*. Statistical analysis of void area fraction has been carried out extensively for the both top and bottom portions of the reformer tube at 870 o C in the stress range of 52-68 MPa. In addition, the proposed probabilistic model has been compared with the Kachanav's Continuum Damage Mechanics (CDM) model. Both the approaches displayed quantitative experimental support. A residual life of 〉 10 years is estimated at 870 o C/ operating stress. For 55 years' service exposed Catalytic Cold Cracking (CCU) reactor vessel and Feed Processing Unit (FPU) distillation column materials of a petrochemical industry remnant life assessment studies were estimated by incorporating the uncertainty involved in calculation of LMP (Larson Miller Parameter) values and from extrapolation of stress vs. LMP plot. Variability of normalized creep damage for reactor and column materials is well approximated with the aid of Weibull distribution. As expected, it is observed that the distributions shift towards the higher range of damage with increase in service exposure time.

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The Physics-of-Failure approach in reliability engineering

Cited by 29 publications

References 12 publications

Research on coalescence and probabilistic failure physics modeling of coplanar semiellipse cracks

Research on coalescence and probabilistic failure physics modeling of coplanar semiellipse cracks

Challenges facing copper‐plated metallisation for silicon photovoltaics: Insights from integrated circuit technology development

Uncertainty in Damage Assessment and Remaining Life Prediction of Engineering Materials Used In Petrochemical Industry

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