1,159 research outputs found

    Notules sur Emptiness: A Double Comic Strip de Bharath Murthy

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    À travers ces 12 notules je cherche à montrer comment l’auteur Bharath Murthy a su développer une BD « scientifique » ici plus concrètement philosophique sur le la présence-absence d’une essence appelée « âme » (ou « moi », « soi », « dieu », etc.) dans la tradition occidentale et réaffirmée jusque dans l’IA par certains, et déconstruite par l’« emptiness » aporétique bouddhique en utilisant les techniques spécifiques de la bande dessinée procurées par le texte et l’image (du bleed à la graphiation).Through these 12 “footnotes” I try to show how the author Bharath Murthy has been able to develop a "scientific" comic strip, here more concretely a philosophical one, on the presence-absence of an essence called "soul" (or "self", "self", "god", etc.) in the Western tradition and reaffirmed in AI by some, and deconstructed by the Buddhist aporetic "emptiness", using the specific techniques of comics provided by the text and the image (from bleed to graphiation)

    Wall shear stress measurement using a zero‑displacement floating‑element balance

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    The floating-element (FE) principle, introduced nearly a century ago, remains one of the most versatile direct wall shear stress measurement methods. Yet, its intrinsic sources of systematic error, associated with the flow-exposed gap, off-axis load sensitivity, and calibration, have thus far limited its widespread application. In combination with the lack of standard designs and testing procedures, measurement reliability still hinges heavily on individual judgement and expertise. This paper presents a framework to curb these limitations, whereby the design and operation of a FE balance are leveraged by an analytical model that attempts to capture the behaviour and predict the relative contribution of the systematic sources of error. The design is based on a parallel-shift linkage and a zero-displacement force-feedback system. The FE has a surface area of 200×200 mm, and measurement sensitivity is adjustable depending on the surface condition and the Reynolds number. It is thus suitable for application in a wide range of low-speed, boundary-layer wind tunnels, small or large scale. Measurements of the skin friction coefficient over a smooth wall show a remarkable agreement with oil-film interferometry, especially for Re θ&gt;1.3×10 4. The discrepancy relative to the empirical Coles–Fernholz relation (κ=0.39 and C=4.352) is within 0.5%, and the level of uncertainty is below 1% for a confidence interval of 95%.</p

    A Novel Decision-Support Framework for Supporting Renewable Energy Technology Siting in the Early Design Stage of Microgrids: Considering Geographical Conditions and Focusing on Resilience and SDGs

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    This research is focused on microgrid design supporting tools and presents an innovative framework for renewable energy (RE) sources&rsquo; site selection, integrating multicriteria decision-making (MCDM) methods with resilience considerations and alignment to the Sustainable Development Goals (SDGs). It addresses present climatic challenges, identifies key causes of possible power failures, and develops strategies to mitigate their effects, while providing tools for energy managers and decision-makers to select suitable RE sources/technologies, based on geographical and sustainability criteria. The framework categorizes criteria into quantitative and qualitative types, adopting a cost (C)- and benefit (B)-based approach. The Analytic Hierarchy Process (AHP) calculates criteria weights to ensure accuracy and compatibility in decision-making, integrating SDG objectives into the evaluation process. This study focuses on five major RE options, photovoltaic (PV), wind, wave, tidal, and geothermal, analyzing more than 50 criteria for each energy type. This evaluation incorporates the expertise of over 50 experts and case studies, making it one of the most extensive research efforts in RE site selection. By systematically addressing resilience challenges and linking them with SDG priorities, this study provides a robust framework for evaluating and optimizing RE options. Its methodologies offer significant contributions to advancing sustainable energy development and enhancing energy systems&rsquo; resilience to climate and infrastructural challenges

    Industrial automation in laser manufacturing

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    With the rapid development and proliferation of PLCs and other software technologies, manufacturing in industries has changed drastically from manual to automation.The following report shows one such e ort of fully automating a laser-manufacturing machine that assembles and tests the laser diodes at lower costs. This includes development of hardware and software for a laser testing equipment, which completely eliminates the human error and increases the product manufacturing efficiency. In developing such fully automated system a 3-axis Cartesian Robot is used with the help of LabVIEW and some other sensors& actuators. The code written in LabVIEW to control Robot provides solutions to use LabVIEW as main interface for any automation project. The developed algorithms for testing and pick & place provides the project with the needed time and cost effectiveness.M.S.Includes bibliographical referencesby Bharath Kumar Molakala Jayarama Naid

    Dataset supporting the publication &quot;Three-dimensional variational data assimilation of separated flows using time-averaged experimental data&quot;

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    Dataset supporting the publication &quot;Three-dimensional variational data assimilation of separated flows using time-averaged experimental data&quot; by U. Cadambi Padmanaban, B. Ganapathisubramani and S. Symon, in PRF journal, DOI: 10.1103/q7sd-q3dn This dataset includes the data for the above manuscript. The data is presented in a zipped file: PRF_UCP_data.zip Data is presented in .csv format named after the figures that were developed from this data. </span

    Effects of frontal and plan solidities on aerodynamic parameters and the roughness sublayer in turbulent boundary layers

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    Experiments were conducted in the fully rough regime on surfaces with large relative roughness height (h/δ ≈ 0.1, where h is the roughness height and δ is the boundary layer thickness). The surfaces were generated by distributed LEGO® bricks of uniform height, arranged in different configurations. Measurements were made with both floating-element drag balance and high-resolution particle image velocimetry on six configurations with different frontal solidities, λF, at fixed plan solidity, λP, and vice versa, for a total of twelve rough-wall cases. The results indicated that the drag reaches a peak value λF ≈ 0.21 for a constant λP 0.27, while it monotonically decreases for increasing values of λP for a fixed λF = 0.15. This is in contrast to previous studies in the literature based on cube roughness which show a peak in drag for both λF and λP variations. The influence of surface morphology on the depth of the roughness sublayer (RSL) was also investigated. Its depth was found to be inversely proportional to the roughness length, y0. A decrease in y0 was usually accompanied by a thickening of the RSL and vice versa. Proper orthogonal decomposition (POD) analysis was also employed. The shapes of the most energetic modes calculated using the data across the entire boundary layer were found to be self-similar across the twelve rough-wall cases. However, when the analysis was restricted to the roughness sublayer, differences that depended on the wall morphology were apparent. Moreover, the energy content of the POD modes within the RSL suggested that the effect of increased frontal solidity was to redistribute the energy towards the larger scales (i.e. a larger portion of the energy was within the first few modes), while the opposite was found for variation of plan solidity

    Dataset supporting the publication &quot;The effect of variations in experimental and computational fidelity on data assimilation approaches&quot;

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    Dataset supporting the publication &quot;The effect of variations in experimental and computational fidelity on data assimilation approaches&quot; by C. Thompson, U. Cadambi Padmanaban, B. Ganapathisubramani and S. Symon, in TCFD journal, DOI: 10.1007/s00162-024-00708-y This dataset includes the data and codes for the above manuscript. The data is presented in a zipped file: TCFD_open_data.zip most data is presented in .dat format named after the figures that were developed from this data. </span
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