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Solution of the optimization problem for the purpose of designing a lattice polymer composite structure with the outer skin
Published 2022-09-01“…In recent years, the urgency of the problem of launch vehicles load-bearing elements optimal design has continued to grow. One of the widespread structural designs is an anisogrid lattice structure made of polymer composite materials. …”
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143
Research progress in data-driven constitutive modeling of composite solid propellants
Published 2025-05-01“…Accurate constitutive modeling of these propellants is key to their research, development, performance evaluation, and optimization. …”
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144
Recent Advances in the Growth and Compositional Modelling of III–V Nanowire Heterostructures
Published 2024-11-01“…Nanowire heterostructures offer almost unlimited possibilities for the bandgap engineering and monolithic integration of III–V photonics with Si electronics. The growth and compositional modelling of III–V nanowire heterostructures provides new insight into the formation mechanisms and assists in the suppression of interfacial broadening and optimization of optical properties. …”
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Data-driven Oxidation Kinetic Model Construction of Silicon Carbide Composites
Published 2025-01-01“…By leveraging mechanical performance evolution data of SiCf/SiC in various single environments, along with Gaussian functions and parameter optimization methods, and incorporating the composite material's chemical reaction characteristics, an automatic construction of the oxidation kinetics model for SiCf/SiC under complex multi-field coupling environments was achieved based on data-driven strategy. …”
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Engine Optimization Model for Accurate Prediction of Friction Model in Marine Dual-Fuel Engine
Published 2025-07-01“…This tool predicts the terms of the Chen–Flynn correlation through an updated procedure, achieving highly accurate results with a coefficient of determination (R<sup>2</sup>) value of 99.88%, eliminating the need for experimental testing. The optimized friction model provides a reliable foundation for future studies and applications, enabling precise friction predictions across various engine types and fuel compositions.…”
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Algorithm and mathematical model for geometric positioning of segments on aspherical composite mirror
Published 2018-09-01“…In recent years, the largest terrestrial and orbital telescopes operating in a wide spectral range of wavelengths use the technology of segmented composite elements to form the main mirror. This approach allows: to expand the spectral operating range from 0.2 to 11.0 μm and to increase the diameter of the entrance pupil of the receiving optical system, while maintaining the optimal value of the exponent mS– mass per unit area.Two variants of adjusting the position of mirror segments are considered when forming an aspherical surface of the second order, with respect to the base surface of the nearest sphere, including geometrical and opto-technical positioning.The purpose of the research was to develop an algorithm for solving the problem of geometric positioning of hexagonal segments of a mirror telescope, constructing an optimal circuit for traversing elements when aligning to the nearest radius to an aspherical surface, and also to program the output calculation parameters to verify the adequacy of the results obtained.Various methods for forming arrays from regular hexagonal segments with equal air gaps between them are considered. …”
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Design of steel and concrete composite beams according to NBR8800:2008 using pygad genetic algorithm and python implementation
Published 2025-07-01“…Between the serviceability limit states, vibration frequency checks were inserted into the optimization problem. Finally, following the optimization process, the designed and optimized elements will be checked for dynamic susceptibility through modal analysis. …”
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Enhanced convolutional neural networks for defect detection in fiber-reinforced composites: a hyperparameter optimization approach
Published 2025-08-01“…A total of 3670 SEM images, evenly distributed across the five classes, were used to train and evaluate CNN models. Two hyperparameter optimization techniques—Keras Tuner and particle swarm optimization (PSO)—were applied to enhance the model’s performance by tuning parameters such as the number of filters, kernel size, pooling size, and the number of convolutional layers.The PSO-optimized CNN achieved a superior classification accuracy of 99.23% with a validation loss of 0.02, outperforming the Keras Tuner model, which reached 96.88% accuracy with a validation loss of 0.1119. …”
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151
Optimized synthesis and characterization of laterite biochar composite for arsenic removal: examining colloidal stability and As(III) oxidation
Published 2024-12-01“…A promising approach involves preparing a composite adsorbent using biochar and laterite-based adsorbent. …”
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Bayesian-Optimized Multi-Task Gaussian Process Regression With Composite Kernels for Soybean Oil Futures Forecasting
Published 2025-01-01“…Using a decade-long dataset (2015–2024) of daily soybean oil prices, the model undergoes rigorous validation via cross-validated Bayesian optimization, bootstrap error estimation, and posterior predictive intervals. …”
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Optimization of Medium Composition for Streptomyces sp. PB2 Chitinase Production using Response Surface Methodology
Published 2022-02-01“…Initial screening was done to determine additional carbon and nitrogen sources in colloidal chitin broth suitable for increasing chitinase activity. Optimization of the medium composition was conducted using the Plackett-Burman design to determine the critical components in the colloidal chitin broth medium and continued by Box-Behnken model to optimize the concentration of the medium components. …”
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Study on Structural Optimization and Thermal Management Performance of Embedded Composite Cooling Plate Based on Wavy Channel
Published 2025-01-01“…The validity of the numerical model was verified by the temperature experiment on the manufactured cooling plate. …”
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A review of physics-informed and data-driven approaches for manufacturing process optimization in polymer matrix composites
Published 2025-12-01“…Machine learning approaches that integrate physical laws with data-driven models are transforming process optimization and quality assurance in polymer matrix composite manufacturing. …”
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Efficient optimum safety factor approach for system reliability-based design optimization with application to composite yarns
Published 2019-10-01“…This model is called Reliability-Based Design Optimization (RBDO). …”
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Supercooling preservation of vascularized composite allografts through CPA optimization, thermal tracking, and stepwise loading techniques
Published 2024-09-01“…This study addresses these challenges by integrating cryoprotectant agent (CPA) optimization, advanced thermal tracking, and stepwise CPA loading strategies within an ex vivo rodent model. …”
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Calculation of capacity and optimization design-composite slab wall soil solidification foundation based on neural network
Published 2024-11-01“…These factors complicate the optimization of the composite slab wall soil solidification foundation designs. …”
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Automation search optimal parameters of a mathematical model of the object
Published 2017-08-01“…This article describes the kinds of technological systems used in the practice of production, revealed the concept of efficiency criteria, the requirements to performance criteria, designed for technology solutions that achieve optimal solutions. Presented kinds of problems of optimum design and is an example of a mathematical model of designing the optimal composition of the concrete mix. …”
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