Results 1 to 10 of about 1,105,186 (145)

A practical guide to robust optimization [PDF]

open access: yesOmega, 2015
Robust optimization is a young and active research field that has been mainly developed in the last 15 years. Robust optimization is very useful for practice, since it is tailored to the information at hand, and it leads to computationally tractable ...
İHsan YanıkoğLu, Dick den Hertog
exaly   +4 more sources

Strategies for Hydrogen-Enriched Methane Flameless Combustion in a Quasi-Industrial Furnace

open access: yesFrontiers in Energy Research, 2021
In this present work, simulations of 20 kW furnace were carried out with hydrogen-enriched methane mixtures, to identify optimal geometrical configurations and operating conditions to operate in flameless combustion regime.
Ruggero Amaduzzi   +6 more
doaj   +1 more source

Combination of polynomial chaos and Kriging for reduced-order model of reacting flow applications

open access: yesResults in Engineering, 2021
The combination of Proper Orthogonal Decomposition (POD) with Kriging has been shown to be a reliable choice for the development of Reduced-Order Models (ROMs) for the prediction of combustion data at unexplored operating conditions.
Gianmarco Aversano   +4 more
doaj   +1 more source

Techno-economic performances of active condensation in a medium-scale biomass-fired district heating unit

open access: yesCase Studies in Thermal Engineering, 2022
This work compares the economic viability of active and passive condensation in a medium-scale biomass combustion plant considering the variability of the return temperature and heat demand over the year.
Thibault Coppieters   +2 more
doaj   +1 more source

Local manifold learning and its link to domain-based physics knowledge

open access: yesApplications in Energy and Combustion Science, 2023
In many reacting flow systems, the thermo-chemical state-space is known or assumed to evolve close to a low-dimensional manifold (LDM). Various approaches are available to obtain those manifolds and subsequently express the original high-dimensional ...
Kamila Zdybał   +5 more
doaj   +1 more source

Discovery of New Ti-Based Alloys Aimed at Avoiding/Minimizing Formation of α” and ω-Phase Using CALPHAD and Artificial Intelligence

open access: yesMetals, 2020
In this work, we studied a Ti-Nb-Zr-Sn system for exploring novel composition and temperatures that will be helpful in maximizing the stability of β phase while minimizing the formation of α” and ω-phase. The Ti-Nb-Zr-Sn system is free of toxic elements.
Rajesh Jha, George S. Dulikravich
doaj   +1 more source

Feature extraction and artificial neural networks for the on-the-fly classification of high-dimensional thermochemical spaces in adaptive-chemistry simulations

open access: yesData-Centric Engineering, 2021
The integration of Artificial Neural Networks (ANNs) and Feature Extraction (FE) in the context of the Sample- Partitioning Adaptive Reduced Chemistry approach was investigated in this work, to increase the on-the-fly classification accuracy for very ...
Giuseppe D’Alessio   +2 more
doaj   +1 more source

Study on sequence problem optimization using variation-robust multi-objective optimization genetic algorithm

open access: yesJournal of Advanced Mechanical Design, Systems, and Manufacturing, 2022
As a solution for sequence optimization, and to obtain a solution that is strong robustness to variations, a multi-objective robust design optimization (MORDO) and robust genetic algorithm (GA) are applied to a multi-objective optimization problem.
Takashi YAMAZAKI   +4 more
doaj   +1 more source

A Review of the Numerical Investigations of Jet-In-Hot-Coflow Burner With Reactor-Based Models

open access: yesFrontiers in Mechanical Engineering, 2020
Moderate or Intense Low-oxygen Dilution (MILD) combustion is considered as one of the most promising novel combustion technologies, as it ensures high efficiency and very low emissions (NOx and CO).
Zhiyi Li   +3 more
doaj   +1 more source

Probabilistic Optimization Techniques in Smart Power System

open access: yesEnergies, 2022
Uncertainties are the most significant challenges in the smart power system, necessitating the use of precise techniques to deal with them properly. Such problems could be effectively solved using a probabilistic optimization strategy.
Muhammad Riaz   +4 more
doaj   +1 more source

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