Hsin-Yu Chen, Nien-Ti Tsou^*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.21, No.3, pp. 55-55, 2019, DOI:10.32604/icces.2019.05403

Abstract Shape memory alloys has been widely applied on actuators and medical devices. The transformation temperature and microstructural evolution play the crucial factors and dominate the behavior of shape memory alloys. In order to understand the influence of the composition of the Ni-Ti on the two factors, molecular dynamics (MD) is adopted to simulate the temperature-induced phase transformation in the current study. In addition, the results are post-processed by the martensite variant identification method. The method allows to reveal the detailed microstructural evolution and the volume fraction of each variant/phase in each case of the composition More >

Kuan-Peng Chen^1,3, An-Cheng Yang^1,3, Wen-Jay Lee¹, Yi-Ming Tseng², Nien-Ti Tsou², Nan-Yow Chen^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.21, No.3, pp. 54-54, 2019, DOI:10.32604/icces.2019.05401

Abstract Crystallographic classification of microstructure is a very important issue in material science especially numerous data were generated by experiments or Molecular Dynamic (MD) simulations. Some analysis tools were purposed, such as coordination analysis and Honeycutt-Anderson (HA) pair analysis [1], however, to analyze these huge amounts of data is still quite difficult. Sometimes, crystallography prior knowledge of their structures is also desired in the classification procedures. Not only the task is very labor intensive but also the result is susceptible to errors and is usually lack of objectivity. In this study, we developed a computational workflow… More >

Ying Mao^1,*, Ming-Hisao Lee², Wen-Hwa Chen¹

The International Conference on Computational & Experimental Engineering and Sciences, Vol.21, No.3, pp. 53-53, 2019, DOI:10.32604/icces.2019.05306

Abstract 3D printing technology is mainly designed to fabricate irregular-shaped targets, but it undergoes an issue of unavoidable thermal residual stress and may induce serious warping and distortion. To guarantee the quality of the printing 3D irregular-shaped parts, a novel meshless analysis procedure is therefore established in this work. With certain checking mechanisms devised, the nodes used by the meshless analysis are appropriately chosen to represent the irregular geometry of printing parts and fit the growing situation in the printing process. As verified by the temperature measurement in the printing process, uniform temperature of each layer… More >

John D. Clayton^1,2,*, R. Brian Leavy¹, Jaroslaw Knap³

The International Conference on Computational & Experimental Engineering and Sciences, Vol.21, No.3, pp. 50-52, 2019, DOI:10.32604/icces.2019.05118

Abstract Diffuse interface models and simulations capture deformation and failure of polycrystalline ceramics with multiple phases. Two heterogeneous ceramic solids are investigated. The first consists of a boron carbide matrix phase embedded with titanium diboride grains. The second consists of diamond crystals with a smaller fraction of silicon carbide grains, where the latter may encapsulate the former in a micro- or nano-crystalline matrix and/or may be interspersed as larger micro-crystals. A general constitutive framework suitable for representing behaviors of all phases of each material system is reported. This framework is implemented in three-dimensional (3D) finite element More >

Bashir S. Shariat^*, Sam Bakhtiari, Hong Yang, Yinong Liu

The International Conference on Computational & Experimental Engineering and Sciences, Vol.21, No.1, pp. 21-21, 2019, DOI:10.32604/icces.2019.05559

Abstract Shape memory alloys (SMAs) are a unique collection of materials which can return to their initial configuration after being largely deformed. Near-equiatomic NiTi is the most widely used SMA due to its excellent shape memory properties and fabricability. One exceptional property of this alloy is superelasticity, which refers to the ability of the alloy to accommodate relatively large deformation typically up to 8% of tensile strain and return to the original undeformed shape upon unloading. As a result of this outstanding feature, superelastic NiTi have been increasingly used in different areas of engineering, such as… More >

Fabio Almeida^1,*, Wey H. Leong², Alan S. Fung²

The International Conference on Computational & Experimental Engineering and Sciences, Vol.21, No.1, pp. 20-20, 2019, DOI:10.32604/icces.2019.05573

Abstract An experimental study was performed to measure the convective heat transfer and thermal decay of a vertical PCM (Phase Change Material) panel. The PCM (soy wax) was enclosed in a thin acrylic shell with an insulated perimeter. The panel was heated to 70°C and allowed to cool by natural convection to room temperature. The experiment captured the transient thermal behaviour of the panel in free convection during liquid and solid phases, and during phase change. Near temperature field visualization and convective heat transfer measurements were obtained using Mach Zehnder Interferometry at one-minute intervals. Finite fringe… More >

Tadashi Kasuya^1,*, A. Toshimitsu Yokobori Jr², Nobuyuki Ishikawa³, Manabu Enoki¹, Satoshi Minamoto⁴

The International Conference on Computational & Experimental Engineering and Sciences, Vol.22, No.2, pp. 120-120, 2019, DOI:10.32604/icces.2019.05227

Abstract Weld cold cracking is categorized as hydrogen cracking. To assess cold cracking susceptibility of steel HAZ (heat affected zone), it is necessary to estimate local hydrogen content and residual stress at a weld root that are in general numerically calculated by FEM and/or FDM. To conduct numerical calculations, physical and mechanical properties such as diffusion coefficient of hydrogen in steel are necessary. In this work, we have developed empirical formulae to calculate HAZ hardness, hydrogen diffusion coefficient and tensile properties. The present empirical formula of HAZ hardness is expressed using chemical compositions of a welded… More >

A.Toshimitsu Yokobori Jr^1,*, Go. Ozeki¹, Toshihito OHMI^1,2, Tadashi Kasuya³, Nobuyuki Ishikawa⁴, Manabu Enoki³, Satoshi Minamoto⁵

The International Conference on Computational & Experimental Engineering and Sciences, Vol.22, No.2, pp. 119-119, 2019, DOI:10.32604/icces.2019.05177

Abstract Authors have been founded that hydrogen diffusion and concentration behavior for notched specimens of multi-materials with space distribution of various material properties were dominated not only by the space gradient of hydrostatic stress caused by the notch tip, ∇σ_p but also by that of diffusion coefficient, ∇D(T, HV, ε_p) caused by space distributions of temperature, hardness and plastic strain due to multi-materials. In this research, on the basis of our proposed coupled analysis of heat transfer induced thermal stress driven hydrogen diffusion, the effect of ∇D(T, HV, ε_p) ) on hydrogen concentration behavior was clarified by solving the… More >

Mikhail Itskov*, Khiȇm Ngoc Vu

The International Conference on Computational & Experimental Engineering and Sciences, Vol.22, No.1, pp. 112-112, 2019, DOI:10.32604/icces.2019.05013

Abstract Mechanoluminescence is a phenomenon where broken chemical bonds send out visible light upon stress application. To this end, special mechanophores are added into the polymer network prior to its vulcanization. As such, bis(adamantyl) 1,2-dioxetane can be used. The breakage of the dioxetane cross-linker is irreversible and can directly be used to assess the damage evolution in rubber-like materials. The intensity of the emitted light correlates with the underlying evolution of chain scission in polymers. In this contribution, an anisotropic analytical network-averaging concept [1] is utilized to model mechanoluminescence, Mullins effect, hysteresis and induced anisotropy in… More >

Qinfu Hou^1,*, Dianyu E.^1,2, Shibo Kuang¹, Aibing Yu^1,3

The International Conference on Computational & Experimental Engineering and Sciences, Vol.22, No.1, pp. 96-97, 2019, DOI:10.32604/icces.2019.05438

Abstract Intensive heat and mass transfer between continuum fluids and discrete particulate materials plays a critical role in many chemical reactors [1]. For example, the shaft furnace and the blast furnace in ironmaking are operated with continuous charge and discharge of solid materials, and it takes hours for the solid materials moving from the furnace top to the bottom. To understand and improve the operation of these reactors, discrete particle models are very helpful when combined with flow, heat and mass transfer, and chemical reaction models [2-6]. However, due to the high computational cost with such… More >