The advent of monolithic integration of mechanical structures with electronics has ushered an era in which microchips can sense and act as well as compute and communicate. The complex device, component and system design issues involving such integrated chips requires the development of new CAD representations, methodologies and tools. A suite of tools that simultaneously considers the mechanica...

Complexity of scaffold geometries and biological mechanisms involved in the bone generation process make the design of scaffolds a quite challenging task. The most common approaches utilized in bone tissue engineering require costly protocols and time-consuming experiments. In this study we present an algorithm that, combining parametric finite element models of scaffolds with numerical optimiz...

Shear-printing is a promising processing technique in organic electronics for microstructure/charge transport modification and large-area film fabrication. Nevertheless, the mechanism by which shear-printing can enhance charge transport is not well-understood. In this study, a printing method using natural brushes is adopted as an informative tool to realize direct aggregation control of conjug...

Non-destructive testing techniques based on neutron imaging and diffraction can provide information on the internal structure of relatively thick metal samples (up to several cm), which are opaque to other conventional non-destructive methods. Spatially resolved neutron transmission spectroscopy is an extension of traditional neutron radiography, where multiple images are acquired simultaneousl...

Johnson–Cook (J-C) material model is often used for Finite Element (FE) modeling of cutting processes and it affects significantly the results of simulation. Since experimentally determination of J-C equation parameters is an expensive and time-consuming task, in this paper, a new and efficient methodology was implemented based on the evolutionary optimization algorithm to identify new J-C mate...

In this paper, we describe initial results of an ongoing research activity involving materials scientists, computer scientists, mathematicians, and physicists from academia, industry and a national laboratory. The present work aims to develop a set of integrated computational tools to predict the relationships among chemistry, microstructure and mechanical properties of multicomponent materials...

In this work, the effects of micro-alloying Mn, Ni, and Si on microstructure mechanical properties high-carbon pearlite steels were investigated. The results indicated that addition solely Ni to pearlitic steel can enhance strength through refinement interlamellar spacing, but work-hardening in ferrite colony may be delayed, leading a reduction area. multiple additions increase Mn contents bene...

It is well known that material chemistry and processing dictate material microstructure and microstructure influences properties and performance of materials. Consequently, quantitative characterization and statistical representation of microstructure are of considerable importance in materials science. Microstructure is essentially a collection of three-dimensional volumes (for example, grains...

The use of aluminum alloys in various industries, especially the automotive industries, to have less structural weight, is on the rise. The use of semi-solid forming process in addition to changes in the microstructure which improves the mechanical properties can reduce the volume of production and ultimately lead to the improvement of the structural weight. In this paper, optimization of the g...

The basic objective of this work is the knowledge representation of the content of Computer Science texts on the basis of a text comprehension model, by using concept maps. According to this model, a reader of a text constructs microstructure and macrostructure of its knowledge content. Microstructure is considered as the relational structure, which describes the static relations among the enti...