There are strong demands on heavy apparatus of power systems to operate with lower life cycle costs and higher efficiency. The materials and mechanics technology contributes to design and system engineering of new machines through structural analyses, experimental techniques, database applications and reliability analyses. Failure mechanism analyses and life assessment methods provide basic tools to perform effective operation and maintenance. Strengthening mechanism analyses and simulation analyses support the development of new materials and optimization of manufacturing processes. Several items are presented here to empower the next generation of the engineers in this field.

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The state-of-the-art in the CFD analysis of meso-scale structures in Gas-solid flows is reviewed. The discrete particle models have made it possible to predict meso-scale structure of particles formed in particulate flows and gas-particle flows. It has been noticed that solid particles tend to make meso-scale structure due to their dissipative nature. Such meso-scale structures of particles have a substantial effect on the flows and transport phenomena between both phases. Consequently, it is important to predict the flow numerically.

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A concept to extract dominant particle density in various time-space frequency levels on a pipeline cross section has been launched using a capacitance-computed tomography and three-dimensional discrete wavelets transform. With this concept, particle density at the downstream of a bend pipe is decomposed to the time-space levels. As a result, this concept enable to realize the time and position when and where particle density with dominant time-space levels pass through the pipeline.

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By means of image Helmholtz equation, linearity and non-linearity are identified from a visualized animation representing a physical dynamic system. The image Helmholtz equation method is a digital image processing methodology which is capable of extracting the characteristic values equivalently representing the modes of physical dynamic system. In this paper, a set of sequentially distinct magnetized SEM domain images is analyzed to extract behavior of magnetic domain dynamics. As a result, linearity is extracted in the Rayleigh magnetization region and non-linearity is extracted not only irreversible but also rotating magnetization regions.

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Dynamics in a visualized animation, which visualizes a physical dynamic system, is extracted by the discrete wavelets. Three-dimensional wavelet transform is applied to x-, y- and time- axes of the animation. The multi-resolution analysis to the time axis makes it possible to classify animation into static and dynamic images. In this paper a visualized eddy flow animation is divided into the static and dynamic images by employing Daubechies' orthogonal wavelet basis. As a result, the core of eddy flow and the fluctuation surrounding it can be extracted in the separated static and dynamic images, respectively.

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