Results 81 to 90 of about 942 (302)

Recycling of NiTi Shape Memory Alloys: Fundamental and Technological Aspects of a Vacuum Induction Melting Processing Route

open access: yesAdvanced Engineering Materials, EarlyView.
The present study investigates recycling of NiTi shape memory alloys via vacuum induction melting. An ingot was synthesized from elemental Ni and Ti and subjected to three subsequent remelting cycles. Remelting increases process durations and impurity levels and adversely affects microstructures and functional properties.
Sakia Sophia Noorzayee   +7 more
wiley   +1 more source

Voltage Stability Enhancement in Power Distribution Systems using an Improved Blue Monkey Optimization-Based D-SVCs Integration Approach

open access: yesJournal of Electrical Engineering and Computer
This paper presents an Improved Blue Monkey (IBM) optimization algorithm for enhancing voltage stability and reducing power losses in distribution networks through optimal placement and sizing of Distribution Static Var Compensators (D-SVCs).
Abigail Obeng
doaj   +1 more source

Stability analysis of STATCOM in distribution networks [PDF]

open access: yes, 2014
This chapter presents the stability analysis based on bifurcation theory of the distribution static compensator (DSTATCOM) operating both in current control mode as in voltage control mode.
Medina Ríos, Aurelio   +5 more
core   +1 more source

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

Enhancing Reactive Power Compensation in Distribution Systems through Optimal Integration of D-STATCOM using the Pelican Optimization Algorithm

open access: yesInternational Journal of Electrical Engineering and Applied Sciences
This paper presents a study that introduces the Pelican Optimization Algorithm (POA) as an innovative approach for the strategic deployment of Distribution Static Synchronous Compensators (D-STATCOM) in distribution systems.
A. F. S. Yussif   +3 more
doaj   +1 more source

An algorithm for optimum control of static VAR compensators to meet phase-wise unbalanced reactive power demands [PDF]

open access: yes, 1986
The operation of thyristor-controlled static VAR compensators (SVCs) at various conduction angles can be used advantageously to meet the unablanced reactive power demands in a system.
Parthasarathy, K   +2 more
core  

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

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

Design, analysis and control of compensators for distribution power systems [PDF]

open access: yes, 2007
This paper deals with the analysis, design and control of Distribution Static Compensator (DSTATCOM) for power quality improvement in an AC distribution system.
Gupta, J. R. P.   +3 more
core   +1 more source

Machine Learning‐Supported Analysis for Predicting and Visualizing Nonlinear Relationships Between Material Properties in Electroplated Chromium Layers

open access: yesAdvanced Engineering Materials, EarlyView.
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer   +4 more
wiley   +1 more source

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