Mesoscopic Constitutive Model for Predicting Failure of Bulk Metallic Glass Composites Based on the Free-Volume Model

Abstract

A meso-mechanical damage model is developed to predict the tensile damage behaviors of bulk metallic glass composites (BMGCs) toughened by ductile particles. In this model, the deformation behaviors of the BMG matrix and particles are described by the free volume model and Ludwik flow equation, respectively. Weng’s dual-phase method is used to establish the relationship between the constituents and the composite system. The strain-based Weibull probability distribution function and percolation theory are adopted in characterizing the evolution of shear bands leading to the progressive failure of BMGCs. Moreover, the present model is performed under strain-controlled loading. Comparing to experiments on various BMGCs, the predictions are in good agreement with the measured results, which confirms that the present model successfully depicts the composite properties, such as yield strength, uniform deformation and strain softening elongation.

Failure rate prediction of equipment: can Weibull distribution be applied to automated hematology analyzers?

“…Though the performance, productivity and effectiveness of engineering of medical equipment can be assessed using various benchmarks like CE (European Conformity) and others, life cycle prediction data for the majority of medical equipment, including hematology analyzers is currently not available from the manufacturers or the users. Life cycle prediction measures, that provide information on the probability of failure rate of a product, have been utilized in electronic engineering and for dental implants [2,3]. Weibull distribution (2or 3-parameter) is the most representative method that can be used for the modeling of failure rates of mechanical components of a piece of equipment.…”

“…Weibull distribution has been studied for deformation behavior of bulk metallic glass composites. Jiang concluded that the statistical model based on Weibull distribution successfully predicted composite yield strength, deformation and elongation [2]. For resin based materials used in computer-aided design and manufacture (CAD/CAM) restorations, Lim et al studied reliability, failure probability and strength and were able to calculate flexural strength of 5% fracture probability [3].…”

“…Life cycle prediction has been widely used in electronic and mechanical engineering for a variety of purposes [1]. However, the use of this important technical tool has been limited in medical science and has mainly been applied to prediction of the strength of dental implants [2,3]. Though the failure data for most of the components of an analyzer may be available to the engineers, these figures have been generated in controlled conditions and their behavior in 'far less controlled conditions' like a busy clinical laboratory has not been tested.…”

Role of Si Minor Addition on Glass Formation and Flow Stress Characteristics of a Zr-Based Metallic Glass

“…Several works have been done to identify mechanism of flow stress behavior of MGs under tensile loading and few studies have succeeded to improve tensile flow characteristics in amorphous alloys [6][7][8] . Tensile loading sensitivity is so high that even the MG composites are exposed to the brittle fracture 9,10 . Moreover, high temperature flow mechanism of MGs can be a turning point for deep understanding of their plasticity in various conditions [11][12][13] .…”