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    Strain-rate dependent influence of adherend stiffness on fracture load prediction of BGA solder joints

    , Article Engineering Fracture Mechanics ; Volume 186 , 2017 , Pages 119-133 ; 00137944 (ISSN) Nourani, A ; Akbari, S ; Farrahi, G ; Spelt, J. K ; Sharif University of Technology
    Abstract
    Fracture experiments with ball grid array (BGA) specimens having different adherend rigidities were performed under bending loads at intermediate strain rates (0.2–1 s−1) and a high strain rate of 30 s−1. A cohesive zone model (CZM) was established and the predictive capability of the model was assessed for the specimens with different rigidities. The predicted fracture loads were within 12% of the measured forces when the CZM parameters were obtained using specimens with a similar degree of constraint. This suggests that in many practical cases, the effect of adherend stiffness can be neglected in predicting the strength of BGA solder joints. © 2017 Elsevier Ltd  

    Soft computing method for prediction of co2 corrosion in flow lines based on neural network approach

    , Article Chemical Engineering Communications ; Volume 200, Issue 6 , 2013 , Pages 731-747 ; 00986445 (ISSN) Chamkalani, A ; Nareh'ei, M. A ; Chamkalani, R ; Zargari, M. H ; Dehestani Ardakani, M. R ; Farzam, M ; Sharif University of Technology
    2013
    Abstract
    An important aspect of corrosion prediction for oil/gas wells and pipelines is to obtain a realistic estimate of the corrosion rate. Corrosion rate prediction involves developing a predictive model that utilizes commonly available operational parameters, existing lab/field data, and theoretical models to obtain realistic assessments of corrosion rates. This study presents a new model to predict corrosion rates by using artificial neural network (ANN) systems. The values of pH, velocity, temperature, and partial pressure of the CO2 are input variables of the network and the rate of corrosion has been set as the network output. Among the 718 data sets, 503 of the data were implemented to find... 

    Mild steel carbon dioxide corrosion modelling in aqueous solutions

    , Article Corrosion Engineering Science and Technology ; Volume 43, Issue 4 , 2008 , Pages 290-296 ; 1478422X (ISSN) Shayegani, M ; Afshar, A ; Ghorbani, M ; Rahmaniyan, M ; Sharif University of Technology
    2008
    Abstract
    A model for prediction of corrosion of mild steel in aqueous solutions containing carbon dioxide is proposed. In this model, formation of protective corrosion product is not yet considered, species concentration at the surface was calculated by using molecular diffusion phenomena and the diffusion equations were solved using the finite difference method. Calculated electrochemical currents at the steel surface may be used to determine the corrosion rate. The model was verified experimentally under atmospheric pressure and the effect of parameters, such as liquid velocity and pH, was investigated. The model can predict the electrochemical reaction rates when they were controlled by diffusion...