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Additive manufacturing (AM) is one of the manufacturing processes that warrants the attention of industrialists, researchers, and scientists. AM has the ability to fabricate materials to produce parts with complex shapes without any theoretical restrictions combined with added functionalities. Selective laser melting (SLM), also known as laser-based powder bed processing (LPBF), is one of the main AM process that can be used to fabricate wide variety of materials that are Al-, Ti-, Fe-, Ni-, Co-, W-, Ag-, and Au-based, etc. However, several challenges need to be addressed systematically, such as development of new materials that suit the SLM process conditions so the process capabilities can be fully used to produce new properties in these materials. Other issues in the field are the lack of microstructure–property correlations, premature failure, etc. Accordingly, this Special Issue (book) focuses mainly on the microstructure-correlation in three different alloys: AlSi10Mg, Ti6Al4V, and 304L stainless steel, where six articles are presented. Hence, this Special Issue outlines microstructure–property correlations in the SLM processed materials and provides a value addition to the field of AM.
n/a --- geometrical dimensioning and tolerancing (GD and T) --- Ti–6Al–4V --- microstructure --- compression testing --- analytical melt pool calculation --- stainless steel --- build orientation --- surface roughness --- process variability --- Tukey’s test --- additive manufacturing --- phase change --- AlSi10Mg --- analysis of variance --- SLM --- repeatability and reproducibility --- inter-repeatability --- distortion analysis --- laser powder bed fusion --- porosity --- dimensional quality analysis --- cylindrical symmetry --- metrology --- mechanical properties --- HIP --- fatigue strength --- process capability --- hatch angle --- line heat source --- selective laser melting --- selective laser melting (SLM) --- intra-repeatability --- Ti-6Al-4V --- Tukey's test
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Photovoltaic solar energy technology (PV) has been developing rapidly in the past decades, leading to a multi-billion-dollar global market. It is of paramount importance that PV systems function properly, which requires the generation of expected energy both for small-scale systems that consist of a few solar modules and for very large-scale systems containing millions of modules. This book increases the understanding of the issues relevant to PV system design and correlated performance; moreover, it contains research from scholars across the globe in the fields of data analysis and data mapping for the optimal performance of PV systems, faults analysis, various causes for energy loss, and design and integration issues. The chapters in this book demonstrate the importance of designing and properly monitoring photovoltaic systems in the field in order to ensure continued good performance.
fault diagnosis --- modeling --- simulation --- fault tree analysis --- photovoltaic system --- Bartlett’s test --- metaheuristic --- population density --- spatial analyses --- AC parameters --- parameter estimation --- fiber reinforced polymeric plastic (FRP) --- Hartigan’s dip test --- energy --- image processing --- real data --- photovoltaic (PV) systems monitoring --- forecast --- photovoltaic plants --- system --- graphical malfunction detection --- defects --- STATCOM --- photo-generated current --- performance analysis --- photovoltaic module performance --- solar energy --- urban context --- thermal interaction --- underdamped oscillation --- reliability --- membership algorithm --- photovoltaic systems --- availability --- fuzzy logic controller --- ANOVA --- solar farm --- energy yield --- cluster analysis --- photovoltaics --- annual yield --- residential buildings --- PV array --- PV system --- dc-dc converter --- quasi-opposition based learning --- grid-connected --- performance ratio --- organic soiling --- vegetated/green roof --- conventional roof membrane --- UV-fluorescence imaging --- PV thermal performance --- PV systems --- failure mode and effect analysis --- ageing and degradation of PV-modules --- sheet molding compound FRP --- Jarque-Bera’s test --- Tukey’s test --- technical costs --- Kruskal-Wallis’ test --- improved cuckoo search algorithm --- PV energy performance --- pultruded FRP --- cracks --- maximum power point tracking (MPPT) --- structural design --- software development --- floating PV generation structure --- malfunction detection --- modules --- photovoltaic performance --- maximum power point --- GIS --- impedance spectroscopy --- floating PV systems (FPV) --- solar cells --- Renewable Energy --- loss analysis --- shade resilience --- Scanning Electron Microscopy (SEM) --- failure detection --- optimization problem --- failure rates --- FCM algorithm --- stability analysis --- reactive power support --- mooring system --- buck converter --- Mood’s Median test --- photovoltaic modeling --- module architecture --- PV module --- data analysis --- partial shading --- opposition-based learning --- silicon --- floating PV module (FPVM) --- electroluminescence --- urban compactness
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