<abstract xmlns="http://www.w3.org/1999/xhtml">

The paper explores the possibility of using the novel Deep Operator Networks (DeepONet) for forward analysis of numerically intensive and challenging multiphysics designs and optimizations of advanced materials and processes. As an important step towards that goal, DeepONet networks were devised and trained on GPUs to solve the Poisson equation (heat-conduction equation) with the spatially variable heat source and highly nonlinear stress distributions under plastic deformation with variable loads and material properties. Since DeepONet can learn the parametric solution of various phenomena and processes in science and engineering, it was found that a properly trained DeepONet can instantly and accurately inference thermal and mechanical solutions for new parametric inputs without re-training and transfer learning and several orders of magnitude faster than classical numerical methods.
</abstract>

About Applications of Deep Learning Operator Networks for Design and Optimization of Advanced Materials and Processes

<abstract xmlns="http://www.w3.org/1999/xhtml">

An efficient method for evaluation of an optimal two-layer soil model from Wenner four-probe measuring method, which has been used during experimental investigations, is presented within this paper. A two-layer soil model is assumed, and this soil model is an adequate representation of nonhomogeneous soil for grounding system design. The application of optimization techniques is required to estimate the electrical parameters of the proposed soil model. In this paper, first the fast gradient-descent method to solve a given optimization problem is chosen, and then with the aim of faster calculation for accelerating the rate of convergence of an infinite sum, the application of Aitken’s <italic>δ2</italic> method is proposed.
</abstract>

Estimation of Two-Layer Soil Parameters Using Gradient Method Accelerated with Atkin’s <italic>δ</italic>2 Method

<abstract xmlns="http://www.w3.org/1999/xhtml">

The study examines the effect of neutron and gamma radiation on commercial gas surge arresters. The research is of experimental-theoretical nature. The experimental part of the research was performed un-der well-controlled laboratory conditions. The combined measurement uncertainty was about 5%. The experimental system is specially designed for the observed problem and has certain original solutions. The test procedure was fully automated and had software support in the experiment management and also for data collection and statistical processing. The obtained results show that neutron and gamma ra-diation improves the functional characteristics of gas surge arresters with a memory effect. The obtained results are explained in accordance with the theory of interaction of neutron and gamma fields with ma-terial and with the theory of electric discharge in gases. The results presented in this study are important for the design of surge protection in systems that can be found in the field of neutron and gamma radia-tion because they can achieve a positive synergistic effect of protection in hybrid schemes with other components for surge protection whose characteristics spoil this radiation.
</abstract>

The Influence of Neutron and Gamma Radiation Fields on Gas-Filled Surge Arresters

<abstract xmlns="http://www.w3.org/1999/xhtml">

Simulation of unsteady flow of SF6 gas in a simplified high-voltage circuit breaker model describing the nozzle, contacts and their nearest surrounding is presented. SF6 is considered as viscous, compressible, real gas described by Redlich-Kwong model. Heat transfer is taken into account due to the gas compressibility. The heat source, triggered by the electric arc between the contacts, was out of the scope of the current research, thus it was not included in the simulations presented. Turbulence, caused by the gas viscosity, is described using realizable <italic>k</italic>-<italic>ε</italic> model. In the simulation model, one of the contact sides – electrodes, is considered as moving at prescribed velocity. The part of the space ‘swept’ by the moving electrode is considered as the gas with imposed artificially increased viscosity in order to imitate the rigid body behaviour. Thus, no moving parts of the computational mesh are used in the model. The conservation equations of mass, momentum and energy, given in integral form, are solved using a finite-volume method on unstructured computational grids.
</abstract>

Norwegian university of science and technology – NTNU

Department of Energy and Process Engineering Trondheim

On Treatment of Some Physical Properties of Gas in Simulation of High-Voltage SF6 Circuit Breakers

<abstract xmlns="http://www.w3.org/1999/xhtml">

Cathodic protection system is commonly employed approach for the protection of the metallic infrastructure placed in electrolyte against corrosion. Adequate design of the cathodic protection system requires the determination of electrical potential and current density distribution on the protected object surface that meets the defined criteria. In this paper, the application of the direct boundary element method in conjunction with Newton-Raphson method was considered for the calculation of the electric potential and current density distribution on the surface of the cathodically protected underground object. The considered method was applied on the sacrificial anode cathodic protection system of the underground pipeline. The non-linear boundary conditions of the electrode surfaces of the cathodic protection system are taken into account. The method was used to determine the current density and electric potential distribution on the external wall of the protected pipeline.
</abstract>

Sacrificial Anode Cathodic Protection System Modelling Using Direct Boundary Element Method

<abstract xmlns="http://www.w3.org/1999/xhtml">

In this invited review article, we give a comprehensive account of the existing literature on the electronic properties of organic materials. The main focus of this article is the rich and extensive literature on the electronic transport in organic materials, particularly conjugated polymers, as they offer numerous advantages over inorganic materials. Consequently, they have found widespread application in photovoltaics, light-emitting displays, and even, more recently, in thermoelectric energy conversion. This literature review will be useful to researchers starting in the field of organic electronics as well as experts seeking to broaden their understanding of transport in polymers.
</abstract>

Organic Materials for Electronic and Thermoelectric Applications

AHEAD OF PRINT

Volume 17 (2023): Issue 2 (December 2023)

Volume 17 (2023): Issue 1 (July 2023)

Volume 17 (2023): Issue s1 (December 2023)

Volume 16 (2022): Issue s1 (December 2022) Advanced materials for engineering applications

Volume 16 (2022): Issue 2 (December 2022)

Volume 16 (2022): Issue 1 (July 2022)

Volume 15 (2021): Issue 2 (December 2021)

Volume 15 (2021): Issue 1 (October 2021) Research trends in interrupting and switching in HV and MV switchgear

Volume 14 (2020): Issue 2 (December 2020)

Volume 14 (2020): Issue s1 (October 2020) Special Issue: Computational, Numerical and Mathematical Methods in Electrical Engineering

Volume 13 (2019): Issue 1 (December 2019)

B&H Electrical Engineering

B&amp;H Electrical Engineering (ISSN: 2566-3143, e-ISSN: 2566-3151) is an international, double blind peer reviewed, non-commercial, open access journal.   The Committee for Bosnia and Herzegovina International Council on Large Electric Systems – CIGRE is the journal publisher.   The aim of the Journal is to publish high-quality papers in a wide area of electrical engineering, computer sciences and information technology.   However, papers in the field of technology, ecology, energy efficiency, industry applications, economy, management and other engineering and social science fields will also be published if they are associated with the field of electrical engineering, computer science and information technology.   Examples of relevant areas can be (but are not limited to):    Power engineering  Automation  Electronics  Robotics  Telecomunications  Signal procesing  Mechatronics  Applied Artificial Inteligence  Energy Engineering  Materials in Electrical Engineering  Applied Mathematics  Biomedical Engineering  Database and Data mining  IT security and Criptology  Data Processing  Buissness Informatics   Type of papers   In addition to original and review scientific papers, the Journal will also consider professional and conference papers.   Language   The Journal accepts only English-language papers.  Publication Fee  No fee is charged from authors for papers accepted for publishing.  Archiving  Sciendo archives the contents of this journal in Portico - digital long-term preservation service of scholarly books, journals and collections.  Plagiarism Policy  The editorial board is participating in a growing community of Similarity Check System's in order to ensure that the content published is original and trustworthy. Similarity Check is a medium that allows for comprehensive manuscripts screening, aimed to eliminate plagiarism and provide a high standard and quality peer-review process. 

Volume 16 (2022): Issue s1 (December 2022) - Advanced materials for engineering applications

B&H Electrical Engineering

Volume 16 (2022): Issue s1 (December 2022)

Advanced materials for engineering applications

About Applications of Deep Learning Operator Networks for Design and Optimization of Advanced Materials and Processes

Estimation of Two-Layer Soil Parameters Using Gradient Method Accelerated with Atkin’s δ² Method

The Influence of Neutron and Gamma Radiation Fields on Gas-Filled Surge Arresters

On Treatment of Some Physical Properties of Gas in Simulation of High-Voltage SF₆ Circuit Breakers

Sacrificial Anode Cathodic Protection System Modelling Using Direct Boundary Element Method

Organic Materials for Electronic and Thermoelectric Applications

Cerca

Tutti i volumi ed i numeri in questa rivista

B&H Electrical Engineering

Volume 16 (2022): Issue s1 (December 2022)

Advanced materials for engineering applications

About Applications of Deep Learning Operator Networks for Design and Optimization of Advanced Materials and Processes

Estimation of Two-Layer Soil Parameters Using Gradient Method Accelerated with Atkin’s δ2 Method

The Influence of Neutron and Gamma Radiation Fields on Gas-Filled Surge Arresters

On Treatment of Some Physical Properties of Gas in Simulation of High-Voltage SF6 Circuit Breakers

Sacrificial Anode Cathodic Protection System Modelling Using Direct Boundary Element Method

Organic Materials for Electronic and Thermoelectric Applications

Cerca

Tutti i volumi ed i numeri in questa rivista

Estimation of Two-Layer Soil Parameters Using Gradient Method Accelerated with Atkin’s δ² Method

On Treatment of Some Physical Properties of Gas in Simulation of High-Voltage SF₆ Circuit Breakers