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In this chapter, we describe software that analyzes multilayers that are at steady-state conditions with respect to time; in order to be applicable, the multilayers’ width must be much larger than the total stack thickness, such that one can neglect lateral gradients in the direction of the layers. The software can be used to determine the temperature distribution in the layers, the deformation (elongation and stretch) and stress distribution in the layers of the multilayer, or any submultilayers formed by delamination cracks. The software is based on one-dimensional heat transfer described in Section 2.6 and general multilayer mechanics framework outlined in Chapter 5. The software is applicable to any number of layers, and using this framework, the results can be used to compute the energy release rates for semi-infinite delamination cracks located at any location in the stack. The code associated with this chapter has been dubbed LayerSlayer (LS).
Since the energy release rate associated with a semi-infinite crack in a semi-infinite multilayer is independent of the crack length, the results are also at steady state with respect to crack length, which almost always represents the maximum possible value for any crack length. Hence, in this chapter, steady state refers to both time and crack length. One should recall that the analysis in Chapter 5 does not yield the mode mix, which requires full solution of the associated elasticity problem. This is covered in Chapter 16.
A complementary code that solves for time-dependent (transient) behavior under the same geometric restrictions as imposed in this chapter is described in the next chapter and is called LayerSlayer Transient (LST). It may be appreciated that the mechanical analysis conducted in LayerSlayer Transient is essentially identical to that in LayerSlayer, only with each physical layer broken into through-thickness elements that describe nonlinear temperature distributions as a series of piecewise linear segments. As such, the interfaces for both LS and LST are remarkably similar. While both are completely self-contained (i.e., the reader can use either code without needing the other), the description of LST builds off this chapter, and hence it is recommended that the reader become familiar with LS first, even if transient solutions are sought.
Previous chapters have frequently pointed out that certain aspects of fracture inmultilayers require complete solutions for stress distributions close to the crack tip. Important examples include mode mix, channeling/tunneling cracks, crack kinking and features with finite length (such as edge cracks or ligaments). While analytical solutions have been presented for a few important cases, a numerical approach is often needed even for relatively simple geometries.
Finite element analysis (FEA) is a well-suited approach, as it is capable of handling virtually any geometry, and all relevant crack tip parameters can be computed using this approach. The fact that both commercial and freeware codes are widely available begs the question as to why we have even bothered to provide an FEA code. Surely, many analyses – especially those involving complicated effects such as plasticity or crack face contact – can be conducted with existing codes. While this is true, there are two important considerations that make a stand-alone code worthwhile.
First, and most importantly, an accurate analysis of cracking in thin films often requires specialized meshes that can be cumbersome to create with other tools. Here, meshing software is provided that is specifically tailored to the analysis of thin film systems with cracks. We provide complete ‘model generators’ that define the geometry, create appropriate meshes and specify all boundary conditions and loading with an absolute minimum of user input. Second, the software also provides efficient, accurate and reliable subroutines to postprocess the results to calculate crack tip parameters. Such computations are by no means universally available in commercial codes. In these two important aspects, there is considerable computational expertise is embedded in the codes, which makes multilayer analysis accessible to those without significant experience with other codes.
Although the provided code lacks the ability to analyze complex geometries and material response, it is highly efficient, both with regard to the effort required for comprehension and for use. Specifically, the software is designed for automation, such that one can set up and analyze hundreds of possible multilayer/crack configurations in minutes. The prepackaged analysis modules (largely) focus on rectangular layers with straight cracks that run along interfaces or perpendicular to the layers.
In this chapter, we describe software that analyzes the time-dependent thermal response of multilayers, called LayerSlayer Transient (LST). As with its counterpart for steadystate analysis described in the previous chapter, the software is based on the onedimensional heat conduction framework described in Section 2.6 and the general framework for multilayer mechanical analysis described in Chapter 5. The distinction is that LST solves for transient, time-dependent temperatures, whereas LS solves only for the steady-state response. LST is subject to the same geometry restrictions as LS and the same assumptions regarding deformation. Though each code can be used independently of the other, the reader is encouraged to become familiar with the conceptual framework of LS prior to exploring LST.
In LST, all of the governing equations described in Chapter 14 for LS now become functions of time. Whereas LS solved for temperatures at discrete points via linear algebra using [K]﹛T﹜ = [q], LST determines temperatures at discrete points as a function of time by solving the coupled first-order differential equations. It is important for the user to keep this difference in mind, particularly in light of the fact that the inputs and outputs of both pieces of software are extremely similar. However, in LST, one must always specify the time at which an output variable, such as stress or energy release rate, is sought. A powerful feature of Mathematica is that it solves coupled systems of differential equations with ease and automatically produces interpolation functions for nodal temperatures that enable one to easily extract results for any point in time.
The second important distinction between LS and LST is that LST requires that the physical layers that make up a multilayer are subdivided into ‘elements’, such that nonlinear spatial distributions of temperature within a single layer can be captured. This means that temperatures are computed at discrete points within each layer (not just at the interfaces), leading to much larger systems of equations. Within each element, the temperature distribution is assumed to be linear; LST essentially determines a piecewise linear distribution of temperatures that converges to the true nonlinear distribution as the number of elements are increased.
A hydrothermal method was developed to synthesize Ag–Pt nanoparticles with controlled surface composition where formaldehyde (HCHO) was utilized as a directing agent. Transmission electron microscopy and powder x-ray diffraction characterizations showed no change in bulk composition and phases as well as the size and morphology of as-made bimetallic nanocrystals. X-ray photoelectron spectroscopy study revealed, however, the enrichment of Pt on the surface as the amount of HCHO used increased. This chemically driven change in surface composition represents a nontraditional approach in the control of synthesis of bimetallic nanoparticle catalysts. A close relationship between catalytic performance and surface composition of these Ag–Pt nanocrystals was observed for electrochemical oxidation of formic acid.
The BiOBr/Ag3PO4 composites were fabricated by a facile in situ deposition of Ag3PO4 nanoparticles on the BiOBr microsheets and analyzed by X-ray diffraction, scanning electron microscope, high resolution transmission electron microscope, X-ray photoelectron spectroscopy, UV–vis diffuse reflectance absorption spectra, Fourier transform infrared, Raman, photoluminescence (PL), and photoelectrochemical techniques. The photocatalytic performances of as-prepared samples were investigated and compared through degradation of Rhodamine B (RhB) solution. The results suggested that 30 wt% amount of BiOBr in the composites possessed the highest photocatalytic activity. The remarkably improved photocatalytic performances of BiOBr/Ag3PO4 composites could be ascribed to the efficient separation of electron–hole pairs, due to suitable energy band potentials between BiOBr and Ag3PO4. Furthermore, the photoelectrochemical and PL tests verified the separation and transfer efficiency of charges was promoted.
The research and development of novel photovoltaic technologies is going through a golden era, thanks to the demonstration of remarkable efficiencies across a broad range of semiconductor classes and device architectures. In parallel with these developments, the opportunities for characterizing the structure of a semiconductor film in situ of a processing step have also increased, to the extent that in situ and in operando experiments are becoming readily accessible to researchers. These combined advances represent the subject matter of this article, wherein studies that improve our understanding of structure formation and evolution in perovskite and organic semiconductor films for innovative solar cells are reviewed. Although focus is placed on the dynamics of semiconductor film formation, the review also highlights recent research on environmental testing, a key component in the development of materials with high intrinsic stability.
We discuss relationships between transparent supercapacitor performance and the morphology of its ZnO nanostructured electrodes. The electrodes with different morphologies were prepared by magnetron sputtering and postdeposition annealing. They were decorated with MnO2 nanostructures and tested in symmetric transparent supercapacitors. The capacitances for discharging at 10 µA/cm2 were in the range of 20–53 µF/cm2, meaning that an increase of 250% in capacitance can be obtained by optimizing the electrode morphology. Optimal morphologies were hierarchical with a large range of pore sizes available. The worst performing had the smallest range of pore sizes. Best devices exhibited transparencies above 90%.
Hill’48 yield function has been widely used to describe the anisotropic behaviors of material in FE simulation of tube and sheet metal forming process. To obtain the material behaviors of small-sized H96 brass extrusion double-ridged rectangular tube (DRRT) in bending process, an inverse method combining response surface method and three-point bending was proposed to identify the parameters of Hill’48 yield function. It was found that comparing with Hill’48 yield function only considering the normal anisotropy and Mises yield function, Hill’48 yield function with the identified parameters performs the best in reproducing the material behavior of H96 brass DRRT in three-point bending process. And then Hill’48 yield function with the identified parameters was also adopted in the FE simulations of rotary draw bending of DRRT. It was observed that the prediction accuracy of cross sectional deformation of DRRT in rotary bending process was improved effectively by using Hill’48 yield function with the identified parameters. This proves that the proposed inverse method is suitable to the real forming process.
A TiAlN coating was deposited on a YT14 cemented carbide cutting tool using a cathodic arc ion plating, the surface-interface morphologies, chemical elements, phases, and microhardness of the obtained TiAlN coating were analyzed with a field emission scanning electronic microscope, energy dispersive spectrometer, X-ray diffraction, and microhardness tester, respectively, and the coating surface roughness and grain scale were characterized with a atomic force microscope. The bonding strength of the coating was measured with a scratch tester, and the friction–wear properties were investigated with a reciprocation type fiction–wear tester. The results show that the bonding strength of the coating is 54.9 N, and the coating microhardness reaches 2724 HV. The average coefficient of friction of the coating is 0.59, the wear mechanism is abrasive wear and slight brittle fracture.
With the rapid development of electronic information and technology, especially the explosive advance of novel electronic devices, ultra-wideband radar detector and satellite communication, the elimination of adverse electromagnetic waves (EWs) effectively is very necessary both for electronic safety and national defense security. As one of the important material basis for controlling adverse EW pollution, compatibility, shielding, and stealth capability of weaponry, microwave absorbing materials has long been an area of intense research activity. Graphene-based materials have attracted great interests for microwave absorption in recent years due to the unique structure and physicochemical properties of graphene, such as high specific surface area, ultrathin thickness, large interface, optical transmittance, and tunable conductive properties, etc. In this paper, the properties and absorption behavior of different kinds of microwave absorbing materials based on graphene were reviewed and discussed in detail. In addition, the perspective of the current challenges and key issues for achieving better microwave absorption performance of the graphene-based materials are provided.
Recent years have seen an increased application of small-scale uniaxial testing—microcompression—to the study of plasticity in macroscopically brittle materials. By suppressing fast fracture, new insights into deformation mechanisms of more complex crystals have become available, which had previously been out of reach of experiments. Structurally complex intermetallics, metallic compounds, or oxides are commonly brittle, but in some cases extraordinary, though currently mostly unpredictable, mechanical properties are found. This paper aims to give a survey of current advances, outstanding challenges, and practical considerations in testing such hard, brittle, and anisotropic crystals.
X-ray diffraction data revealed that the initial SiO2/Ag nanocomposite, manufactured in a chemical synthesis process, is mainly composed of silica in amorphous phase (95.5 wt.%), crystalline Ag with a cubic structure (Fm-3m) and cristobalite (SiO2) with a tetragonal structure (P41212) in the amount of 4.2 and 0.3 wt.%, respectively. High-temperature diffraction data revealed high stability of the SiO2/Ag composite up to 1000 °C. High-temperature X-ray diffraction measurements revealed phase cristallization temperatures of silica at 1060 °C for cristobalite and 1080 °C for tridymite as well as temperature of silver evaporation starting from the composite (ca. 1000 °C). Infrared spectroscopy data confirmed the presence of amorphous matrix with embedded silver ions and crystalline compounds in the form of cristobalite and tridymite without silver after thermal treatment.