Results 111 to 120 of about 159,993 (313)

Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying

open access: yesAdvanced Engineering Materials, EarlyView.
An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara   +8 more
wiley   +1 more source

MATHEMATICAL MODEL OF COLORIMETRY

open access: yesBulletin of Kyiv Polytechnic Institute. Series Instrument Making, 2017
Робота присвячена аналізу методів математичного моделювання і вивчення процесу розпізнавання людиною кольорових відбитків та побудови пристроїв для класифікації предметів за їх колірним характеристикам. Розглядається конструкція датчиків кольору, в яких використовується не три, а більша кількість фотоприймачів, що дає можливість шляхом систематичних ...
Khoroshaylo, Yurii   +4 more
openaire   +4 more sources

Fostering student’s mathematical literacy through mathematical modelling tasks [PDF]

open access: yes
Author's Accepted ManuscriptIn this chapter, we compare mathematical modelling and mathematical literacy, and explore mathematical modelling tasks as a means for fostering students’ mathematical literacy.
Frejd, Peter   +2 more
core   +1 more source

Optimization of the Production of Rubber Compounds Using Mathematical Models

open access: yesAdvanced Engineering Materials, EarlyView.
Rubber compounds were mixed in a batch internal mixer, and symbolic regression was used to derive mathematical models linking recipe and process parameters to ram path, torque, and mixing quality (incorporation, dispersion, distribution). Subsequent optimization with evolutionary algorithms identified operating conditions that reduce specific energy ...
Anke Bardehle   +7 more
wiley   +1 more source

Workflow for Design of Experiments‐Based Modeling of Species Transport and Growth Kinetics in GaN Hydride Vapor Phase Epitaxy

open access: yesAdvanced Engineering Materials, EarlyView.
A novel workflow for investigating hydride vapor phase epitaxy for GaN bulk crystal growth is proposed. It combines Design of experiments (DoE) with physical simulations of mass transport and crystal growth kinetics, serving as an intermediate step between DoE and experiments.
J. Tomkovič   +7 more
wiley   +1 more source

Computational Insights into the Unstable Fixed Point of the Fractional Difference Logistic Map

open access: yesMathematics
Thedivergence from the unstable fixed point of the fractional difference logistic map is investigated in this paper. In contrary to the classical logistic map, the memory horizon of the fractional difference logistic map reaches the initial condition ...
Ernestas Uzdila   +3 more
doaj   +1 more source

Low Cycle Repetitive Loading of Ti‐6Al‐4V‐Epoxy Composite Lattice Structures for Enhanced Energy Dissipation and Damage Tolerance

open access: yesAdvanced Engineering Materials, EarlyView.
Composite Ti–6Al–4V–epoxy lattice structures are additively manufactured and epoxy infiltrated for cyclic loading. At low lattice volume fractions, hybridization produces synergistic gains in stiffness and energy dissipation. At higher volume fractions, synergy diminishes, although composites still exceed metallic lattices in specific energy ...
Joey Tallon   +3 more
wiley   +1 more source

Mathematical modelling of instability phenomena

open access: yes, 2005
Corso “Phenomenological and mathematical modelling in structural instabilities”, CISM, Udine, 20-24 ottobre ...
PIGNATARO, Marcello Pantaleo   +1 more
core  

Designing Polymer Nanocomposites for X‐Ray Shielding: Mechanisms, Architectures, and Scalable Processing

open access: yesAdvanced Engineering Materials, EarlyView.
This review highlights advances in lightweight, lead‐free polymer nanocomposites for diagnostic X‐ray shielding. By linking filler chemistry, dispersion, architecture, and photon interaction mechanisms, it establishes structure–performance relationships guiding material design.
Aklilu G. Messele   +2 more
wiley   +1 more source

Physics-Aware Machine Learning Approach for High-Precision Quadcopter Dynamics Modeling

open access: yesDrones
In this paper, we propose a physics-informed neural network controller for quadcopter dynamics modeling. Physics-aware machine learning methods, such as physics-informed neural networks, consider the UAV dynamics model, solving the system of ordinary ...
Ruslan Abdulkadirov   +4 more
doaj   +1 more source

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