Microwave Absorption and Shielding Mechanisms in Micro-cellular Foamed Conductive Composites | Chapter 7 | New Horizons of Science, Technology and Culture Vol. 4

Protection against electromagnetic interference (EMI) has remained a pervasive challenge for almost two decades. For these reasons, research efforts have focused on the design and fabrication of efficient EMI shielding materials. This chapter investigates the mechanisms of microwave absorption in microcellular foamed conductive composites designed for protection or shielding against electromagnetic interference. A multi-layered electromagnetic one-dimensional (1D) model mimicking the microcellular foam structure is built and validated using previous measurements on various fabricated composite foams. This model helps to perform a parametric analysis of the absorption behaviour in a foamed composite, using the following parameters: the size of the hollow cell, the thickness of the cell’s wall, its conductivity, the overall thickness of the composite, and the frequency. The foamed composite materials that serve as a reference for the validation of the proposed model were fabricated using a supercritical CO2 process. Three different polymer matrices were considered as examples in this work, i.e., polycarbonate (PC), poly-caprolactone (PCL), and polypropylene (PP). These investigations demonstrate that multiple reflections of the microwave signal between the cellular walls are not the main mechanism responsible for absorption. However, they are often reported as a cause of enhanced absorption in the literature. On the contrary, this work demonstrates that the enhancement of the absorption observed in the foamed conductive composite compared to the unfoamed composite is mainly due to the presence of air in the micro-cells of the composite. The associated electromagnetic shielding efficiency of the foams for practical applications is also discussed. As a whole, the chapter provides a comprehensive study of the performance of composite foams that can help to protect modern communications systems, IoT devices, and living systems from spurious electromagnetic radiations that can interfere with.

 

Author(s) Details.

Isabelle Huynen
Université Catholique de Louvain, Place du Levant 3, 1348 Louvain-la-Neuve, Belgium.

 

Please see the book here:- https://doi.org/10.9734/bpi/nhstc/v4/6070

Modelling Treatment by Adsorption from Waste Water Using Artificial Neural Network and Multiple Linear Regressions (MLR) Approaches | Chapter 8 | Chemical and Materials Sciences: Developments and Innovations Vol. 5

 

Artificial neural networks (MLP-ANN) and multiple linear regressions (MLR) models were used for predicting the dynamic adsorption of the complex system of adsorbent adsorbate in the solid-liquid phase. A structure of 09 neurons in the input layer, 16 neurons in the hidden layer, and 1 neuron in the output layer was built.

 

According to the statistically obtained result for the ANN model in terms of root mean square error (RMSE= 0.0521) and correlation coefficient (R = 0.991), the ANN presents a powerful tool and gives more significant results than the MLR model.

 

 

Author(s) Details

Meriem. Sediri
Biomaterials and Transport Phenomena Laboratory (LBMPT), University of Médéa, Ain D’Heb 26000, Médéa, Algeria.

 

Salah. Hanini
Biomaterials and Transport Phenomena Laboratory (LBMPT), University of Médéa, Ain D’Heb 26000, Médéa, Algeria.

 

Maamar. Laidi
Biomaterials and Transport Phenomena Laboratory (LBMPT), University of Médéa, Ain D’Heb 26000, Médéa, Algeria.

 

Siham. Abbas Turki
Department of Electrics and Computing Engineering, University of Médéa, Ain D’Heb 26000, Médéa, Algeria.

 

 

Hakima. Cherifi
Biomaterials and Transport Phenomena Laboratory (LBMPT), University of Médéa, Ain D’Heb 26000, Médéa, Algeria.

 

Hamadache. Mabrouk
Biomaterials and Transport Phenomena Laboratory (LBMPT), University of Médéa, Ain D’Heb 26000, Médéa, Algeria.

 

Please see the book here:- https://doi.org/10.9734/bpi/cmsdi/v5/1932

Advancing Geohazard Mapping and Monitoring Using Terrestrial LiDAR: Insights from the British Geological Survey | Chapter 2 | Geography, Earth Science and Environment: Research Highlights Vol. 9

Geomatics is defined in the ISO/TC 211 series of standards as the discipline concerned with the collection, distribution, storage, analysis, processing and presentation of geographic data or geographic information. It is the discipline of electronically gathering, storing, processing and delivering spatially related digital information; it continues to be one of the fastest expanding global markets, driven by technology. The British Geological Survey (BGS) geomatics capabilities have been utilised in a variety of scientific studies such as the monitoring of actively growing volcanic lava domes and rapidly retreating glaciers; coastal erosion and platform evolution; inland and coastal landslide modelling; mapping of geological structures and fault boundaries; rock stability and subsidence feature analysis and geo-conservation. In 2000, the BGS became the first organisation outside the Mining Industry to use Terrestrial LiDAR Scanning (TLS) as a tool for measuring change; paired with a Global Navigation Satellite System (GNSS), BGS were able to measure, monitor and model geomorphological features of landslides in the United Kingdom (UK) digitally. Many technologies are used by the BGS to monitor the earth, employed on satellites, aeroplanes, drones and ground-based equipment, in both research and commercial settings to carry out mapping, monitoring and modelling of earth surfaces and processes. Outside BGS, these technologies are used for close-range, high-accuracy applications such as bridge and dam monitoring, crime and accident scene analysis, forest canopy and biomass measurements and military applications. Key methodologies in TLS are discussed under the headings of Mobile Mapping, Monitoring Change, Virtual Outcrop Modelling and Uncrewed Technologies, featuring examples of work for each. This research underscores TLS's transformative potential in geosciences, particularly for advancing disaster resilience, environmental monitoring, and geological conservation efforts. Terrestrial Laser Scanning (TLS) offers high-resolution, three-dimensional data collection capabilities that can significantly enhance our understanding of geological processes and environmental changes.

The aim of this chapter is to review the types of work that the BGS carries out using terrestrial and aerial LiDAR systems, and to discuss the merits therein.

 

Author (s) Details

 

Lee D Jones
British Geological Survey, United Kingdom.

 

Please see the book here:- https://doi.org/10.9734/bpi/geserh/v9/3998

Study of Dynamic Adsorption from Wastewater into Mineral Activated Carbon Using Artificial Neural Network | Chapter 9 |Current Approaches in Engineering Research and Technology Vol. 10

Water bodies are the most common natural resources that have been contaminated as a result of different human activities. Actually, in industries various methods of treatment of wastewater and many adsorbent materials used for purification of effluents have existed. An artificial neural network (ANN) was used in this study to predict the removal of sodium decanesulfonate using actived carbon obtained by the calcination of mineral biomass under different conditions. The structure of [3-3-1] was obtained and given a good correlation coefficient (R² = 0.9965) with root mean squared error (RMSE = 0.0276). For the stage of interpolation and extrapolation, the results present a high correlation coefficient close to 1 which provides the robustness and the high capacity of ANN developed model.

 

Author (s) Details

 

Sediri Meriem
Biomaterials and Transport Phenomena Laboratory (LBMPT), University of Médéa, 26000, Médéa, Algeria.

 

Hanini Salah
Biomaterials and Transport Phenomena Laboratory (LBMPT), University of Médéa, 26000, Médéa, Algeria.

 

Please see the book here:- https://doi.org/10.9734/bpi/caert/v10/2974

 

Findings of Radar Cross Section Using AI and ML | Chapter 4 | Design and Simulation of Classical and Quantum Antennas in Gigahertz and Terahertz: Applications in Radar Using Deep Neural Techniques

This study aimed to discuss the monostatic and bistatic radar cross-section of an object with the help of simulation tools and to relate the findings with the radar cross-section definition using MATLAB. A Perfect Electrical Conductor (PEC) cylinder and sphere were used as an object for the simulation of the Radar Cross Section computed in CST Studio Suite software. The incident wave selected is normal and plane with TE polarization. The setup here discusses the different findings of the Radar Cross Section at different parameters like azimuth, elevation, and frequency and compares it with the model based on the theoretical formula. After simulation, results are compared with the theoretical formula using the modelling in MATLAB software.

 

Author (s) Details

 

R. Shandilya
Department of Electronics and Communication Engineering, Netaji Subhash University of Technology (East Campus), New Delhi, India.

 

Dr. Manisha Khulbe
Netaji Subhash University of Technology Delhi (East Campus), New Delhi, India.

 

A. Jain
Department of Electronics and Communication Engineering, Netaji Subhash University of Technology (East Campus), New Delhi, India.

 

S. Kaushik
Department of Electronics and Communication Engineering, Netaji Subhash University of Technology (East Campus), New Delhi, India.

 

R. Yadav
Department of Electronics and Communication Engineering, Netaji Subhash University of Technology (East Campus), New Delhi, India.

 

Please see the book here:- https://doi.org/10.9734/bpi/mono/978-93-49238-41-1/CH4

Study of Dynamic Adsorption from Wastewater into Mineral Activated Carbon Using Artificial Neural Network | Chapter 9 | Current Approaches in Engineering Research and Technology Vol. 10

 

Water bodies are the most common natural resources that have been contaminated as a result of different human activities. Actually, in industries various methods of treatment of wastewater and many adsorbent materials used for purification of effluents have existed. An artificial neural network (ANN) was used in this study to predict the removal of sodium decanesulfonate using actived carbon obtained by the calcination of mineral biomass under different conditions. The structure of [3-3-1] was obtained and given a good correlation coefficient (R2 = 0.9965) with root mean squared error (RMSE = 0.0276). For the stage of interpolation and extrapolation, the results present a high correlation coefficient close to 1 which provides the robustness and the high capacity of ANN developed model.

 

Author(s)details:-

 

Sediri Meriem
Biomaterials and Transport Phenomena Laboratory (LBMPT), University of Médéa, 26000, Médéa, Algeria.

 

Hanini Salah
Biomaterials and Transport Phenomena Laboratory (LBMPT), University of Médéa, 26000, Médéa, Algeria.

 

Please See the book here :-  https://doi.org/10.9734/bpi/caert/v10/2974

ICEV Recycling in Environments with Limited Conventional Energy: Insights from a Queuing Model | Chapter 9 | Theory and Applications of Engineering Research Vol. 7

Nowadays Sustainability is a huge issue. Sustainability deals with the need for the protection of the natural environment and ecosystems health and requires innovation and commitment with the future. This manuscript presents an economic supported decision process  modelled through a  M|G|∞  queue system (M means that arrivals follow a Poisson process, G (general) that the service time can follow any probability distribution, and  ∞ that there are infinite servers) to help to choose if either ICEV-Internal Combustion Engine Vehicles, normally cars but not only, turn idle when conventional energy becomes scarce, or a new status quo is required. In such a case, they are recycled, becoming either EV-Electric Vehicles or HEV-Hybrid Electric Vehicles or FCEV-Fuel Cell Electric Vehicles, or are dismantled (DV-Dismantled Vehicles). Our model shows that when the rhythm ICEV become EV, HEV, FCEV and DV is greater than the rate at which they get idle the system tends to balance. In a cost-benefit analysis perspective, there are minimum benefits above which, both dismantling and recycling, are interesting. Additionally, the most interesting is the one for which the minimum benefit is the least.

Author(s) Details:

Manuel Alberto M. Ferreira,
ISTAR-IUL - Information Sciences, Technologies and Architecture Research Center (ISTA-School of Technology and Architecture), Iscte-Instituto Universitário de Lisboa, Lisboa, Portugal.

Please see the link here: https://stm.bookpi.org/TAER-V7/article/view/13689

Prediction of the Effect of GGBFS on the Hydration of Cement Using Extended CEMHYD3D Model | Chapter 2 | Theory and Applications of Engineering Research Vol. 5

The study presents important findings on predicting the behavior of a Portland cement-based mixture, specifically regarding hydration. Supplementary cementitious materials (SCMs) such as ground granulated blast furnace slag (GGBFS), often called slag cement, fly ash (FA), and silica fume (SF) are widely used in cementitious composites due to their durability, environmental friendliness, and minimal cost. Portland cement is usually substituted with granulated blast furnace slag (GGBFS) to make a blended cement. A slag-blended cement has a more complicated hydration process than Portland cement due to the interactions between the slag reaction and the hydration of Portland cement in the cementitious systems. Understanding the effect of slag substitution on the hydration of cement is still challenging. To achieve this, the extended CEMHYD3D model was employed to predict the hydration of a slag-blended cement. An OPC as a reference cement confirmed to ASTM C 150 and a slag confirmed to ASTM C 989 standard requirements were used in this study. The simulation was done with cement paste samples made with various w/c ratios and different slag substitution levels, in which the interaction between the hydration of Portland cement and the reaction of slag was considered. The prediction model has been validated with experimental results and verified to be successful in predicting the hydration of slag-blended cement. The consideration of the chemical composition of slag improves the predictability of hydration in cement, and the same method was applied in this model. Both in the early age and up to the age of 90 days, the hydration of slag-blended cement can be predicted with the proposed model.

Author(s) Details:

Andualem Yadeta,
Department of Civil Engineering, Delhi Technological University, Delhi 110042, India and Department of Construction Technology and Management, Madda Walabu University, Bale Robe 242, Ethiopia.

Pradeep Goyal,
Department of Civil Engineering, Delhi Technological University, Delhi 110042, India.

Raju Sarkar,
Department of Civil Engineering, Delhi Technological University, Delhi 110042, India.

Please see the link here: https://stm.bookpi.org/TAER-V5/article/view/13293

Numerical Investigation on Vibro-acoustic Responses of a Satellite| Chapter 1 | New Trends in Physical Science Research Vol.7

 

 Currently, either the highly computational finite element (FE) approach or the imprecise statistical energy analysis (SEA) method is used to create a satellite's vibro-acoustic model. Three important technologies—division frequency, damping loss factor (DLF) model, and on-board equipment modeling—are suggested in this work for a combined vibro-acoustic simulation of a satellite. When f>f1, the division frequency (f1) is determined by whether the modes of the components are greater than 5. When all of the components are favoured by SEA when f>f1, hybrid FE/SEA technique is advised with just solar arrays by SEA method and the other components by FE method. Based on the examination of numerous experimental data, the DLF component model was proposed, in which the DLF is opposed to the area-to-mass ratio of components and frequency. It is established that the corresponding DLF of the panel may imitate the on-board equipment using the SEA theory. In comparison to the FE technique throughout the full band, the combined method not only cuts computation time by over 80% but also keeps prediction error to a maximum of 1 dB.

Author(s) Details:

Jie Zhang,
Institute of Telecommunication and Navigation Satellites, China Academy of Spacecraft Technology, Beijing, 100094, China.

Please see the link here: https://stm.bookpi.org/NTPSR-V7/article/view/7777

Modelling Study on Evaporative Freezing Process of Water Droplet in Artificial Snowmaking | Chapter 08 | New Trends in Physical Science Research Vol. 1

 A modelling study on the evaporative freezing process of water droplets was carried out in this paper in order to better understand artificial snowmaking and, as a result, to improve machine design. To accomplish this, mass and heat transfer theoretical models of a single water droplet cooling in an air space were devised and implemented in a numerical model created with the software COMSOL Multiphysics. On this process, the impacts of air temperature, relative humidity, and velocity, as well as the initial diameter and temperature of water droplets, were found and analysed, and their optimum ranges for snowmaking were determined.

Author(S) Details

G. El Achkar
Tianjin University of Commerce, Guangrong Rd 409, Beichen District, Tianjin, 300134, China and Trinity College Dublin, College Green, Dublin 2, Ireland.

B. Liu
Tianjin University of Commerce, Guangrong Rd 409, Beichen District, Tianjin, 300134, China.

R. Bennacer
ENS Paris-Saclay University, 61 Avenue du Pr´ esident Wilson, 94235 Cachan, France.

View Book:- https://stm.bookpi.org/NTPSR-V1/article/view/6469

Modeling and Parameters Identification of PEM Fuel Cell for Application to a Hybrid Vehicle System | Chapter 5 | Research Trends and Challenges in Physical Science Vol.8

 In this chapter, we are interested in the research of fuel cell instrumentation, particularly that of the proton exchange membrane type PEM, by measuring complex impedance in order to predict faults and avoid serious stack problems such as drowning or reversal phenomena. As a result, this paper examines the vehicle's model description, with a focus on the Powertrain's design and modelling. The fuel cell vehicle's power system includes a fuel cell, a DC/DC converter, a three-phase inverter, and a PM synchronous motor. Our goal is to reduce the amount of hydrogen used by a Proton Exchange Membrane (PEM) Fuel Cell. To achieve this purpose, the system is regulated by an Energy Management Strategy (EMS), which minimises fuel cell power demand transitions and so enhances the system's longevity. For the NEDC, the suggested energy management strategy is assessed (New European Driving Cycle). The obtained findings show that the proposed energy management technique is effective in reducing hydrogen use.

Author(s) Details:

Mohamed Sélmene Ben Yahia,
Faculty of Sciences of Tunis, University of Tunis El Manar, Laboratory of Research in Energy Efficiency Application and Renewable Energy LAPER, Tunis, Tunisia.


Wahib Andari,
Faculty of Sciences of Tunis, University of Tunis El Manar, Laboratory of Research in Energy Efficiency Application and Renewable Energy LAPER, Tunis, Tunisia.


Hatem Allagui,
Faculty of Sciences of Tunis, University of Tunis El Manar, Laboratory of Research in Energy Efficiency Application and Renewable Energy LAPER, Tunis, Tunisia.


Abdelkader Mami,
Faculty of Sciences of Tunis, University of Tunis El Manar, Laboratory of Research in Energy Efficiency Application and Renewable Energy LAPER, Tunis, Tunisia.

Please see the link here: https://stm.bookpi.org/RTCPS-V8/article/view/6011 

Multi-paradigm Approaches to Mathematical Modelling as a Research Tool | Chapter 06 | New Visions in Science and Technology Vol. 7

 This article is devoted to mathematical modeling as a research tool. The article is based on statistics of the joint Fund of electronic resources "Science and education" for the period from 1998 to the present. The selection of information about developments in mathematical modeling and statistical processing is carried out automatically by the collector_stat program developed by the authors of the article. The beginning of modernization of higher education is accompanied by the development and growth of scientific research, both theoretical and practice-oriented. The reconstruction of the higher school, which started in 2013 and is one of the active participants in the development of science in the country, is the object of research by Ofernio. The subject of research is electronic and information developments on the topic of mathematical modeling. Methods of research are methods of statistics, expertise, content analysis. 

Author(S) Details

A. I. Galkina
A K Aylamazyan IPS RAS, 4A, Peter the First St., Veskovo Village, Pereslavsky District, Yaroslavl region, 152021, Russia.

I. A. Grishan
A K Aylamazyan IPS RAS, 4A, Peter the First St., Veskovo Village, Pereslavsky District, Yaroslavl region, 152021, Russia.

View Book:- https://stm.bookpi.org/NVST-V7/article/view/4415

Design and Implementation of an Optimal PV Solar Generator in Tropical Zone | Chapter 03 | Novel Perspectives of Engineering Research Vol. 2

 Many small businesses, other organisms, and rural populations, particularly in developing countries, do not have easy access to the grid, necessitating the use of decentralised electric sources, which are critical in some situations, such as supplying rural hospitals or pumping potable or irrigation water. Electric Solar Generators Technologies may be able to save the day in a major way. This article examines essential issues in the design and deployment of a PV Solar Generator. In this regard, we conducted a state-of-the-art study in the domain of Solar Electric Generators, which provided key parameters of each component of a safe, easy-to-maintain feeding solar system and led us to the design, notably through the software PVSyst, of a domestic flat PV solar generator, as well as the implementation and testing of a domestic flat PV solar generator. Among the decentralised power production methods such as generating units, a PV panel's generator with batteries appears to be the most advantageous. The results are made up of planned schematics, tables, and curves of simulated and investigated electric quantities such maximum delivered powers and efficiency. An example of a fully installed PV system that was instrumented for data logging was presented in the article. To power real loads, the system comprised a battery and an inverter. The size of the PV array, battery capacity, inverter power rating, and power provided to the loads were all considered when designing the system. The logged data has been utilised to assess the intended system and give recommendations on how the design could be improved so that systems of this sort can best serve local needs.

Author(S) Details

Andre Youmssi
Electric Energy Laboratory (LEE), Montreal, Canada. and Ecole Polytechnique de Montreal, Succursale Centre Ville, Montreal, Quebec, Canada. and Electromagnetic Laboratory and Process Engineering Laboratory, The University of Ngaoundere, Ngaoundere, Cameroon

Emmanuel Patrick Feudjio
Electromagnetic Laboratory and Process Engineering Laboratory, The University of Ngaoundere, Ngaoundere, Cameroon.

View Book:- https://stm.bookpi.org/NPER-V2/article/view/4371

Computational Modelling of Lead Based Mixed Halide Perovskite Solar Cells: An Advanced Study| Chapter 12 | New Visions in Science and Technology Vol. 3

 Due to substantial breakthroughs in renewable energy and solar cell technology, perovskite solar cells (PSCs) have emerged as a bright spot in the photovoltaics area. Despite the fact that this relatively new technology has a bright future in terms of utilising solar energy to generate power, its cost-effective commercialization will necessitate additional research. By reproducing experimental situations in a virtual environment, computational modelling and simulation studies can be used to estimate the efficiency and stability of PSCs. The SCAPS-1D software is used to simulate and analyse the performance of different Perovskite Solar Cells (PSCs) with different back contact metals, electron transport layers, and hole transport layers. Using IGZO and CuSCN as the electron and hole transport layers, this study presents the performance of PSCs with mixed halide perovskites, CH3NH3PbI3-XBrX for X=1,2, as absorber layers. The study's major goal is to find the device configuration with the optimum photovoltaic parameters and then use a modelling study to improve the device's performance even more. With a PCE of 15.40 percent and an FF of 65.69 percent, the device configuration FTO/IGZO/CH3NH3PbI3-XBrX/CuSCN/Au for X=1 has the best performance. The optimum defect density for the CH3NH3PbI3-XBrX absorber layer with X=1 is found to be 11014 cm-3. The optimum dopant density for PSCs with CH3NH3PbI3-XBrX as the absorber layer and X=1 is found to be 1.01014 cm-3.

Author (S) Details

K. Deepthi Jayan
Department of Physics, Nirmalagiri College, Kannur University, Kannur, Kerala, 670701, India and Rajagiri School of Engineering & Technology, Rajagiri Valley, Kakkanad, Kochi, Kerala, 682039, India.

Varkey Sebastian
Department of Physics, Nirmalagiri College, Kannur University, Kannur, Kerala, 670701, India.

View Book :- https://stm.bookpi.org/NVST-V3/article/view/3772

Determining the Importance of Polarity Change in the Electrical Discharge Machining | Chapter 6 | New Visions in Science and Technology Vol. 3

The polarity change in spark erosion is still a concern, and it is frequently done in an arbitrary or unjustified manner. The removal electrode must be given the polarity indication first. This is often the cathodic workpiece electrode in EDM. The goal of this chapter is to describe the removal circumstances on the anode and cathode, as well as to explain how both electrodes' removal behaviour changes over time. The reversal point of the pulse duration may be established as a result of this, which is significant for the electrode material combination, the process energy source (PES), and the load circumstances. In order to validate the phenomenological models, experimental results with copper, aluminium, and iron are evaluated in combination with the same and various electrode materials. In the second stage, literature references are reviewed with the goal of determining whether or not there has been a polarity shift. The direct polarities are chosen largely to optimise removal while minimising wear. Second, reversal polarities are employed in finishing to achieve reduced surface roughness. A high level of wear must always be accepted in these applications, which account for the vast majority of the literature. The polarity of the PES and/or the load conditions of the PES is almost never mentioned in the literature, which leaves out a crucial aspect in the explanation of the results. The utilisation of electrical discharge in conjunction with other machining methods, such as electrochemical machining, necessitates a polarity change as well (ECM). An further impacting component is the primary removal process.

Author (S) Details

H. P. Schulze
Leukhardt Schaltanlagen Systemtechnik Magdeburg, Germany.

View Book :- https://stm.bookpi.org/NVST-V3/article/view/3724567

Study on Modelling a 400/220 KV Power Substation (Critical Infrastructures) – The Simulation of the Permanent Regime with EDSA Programme| Chapter 9| Current Approaches in Science and Technology Research Vol. 13

 This study aims to demonstrate the operation of the 400/220 kV Rosiori power substation from Romania's National Power Grid during the permanent regime, as well as the behaviour of the power substation's electric equipment in relation to this phenomenon. According to the acquired results, we recommend that the power substation's quality parameters be operated in accordance with the new ENTSO – E (European Network of Transmission System Operators for Electricity) regulations. The study's goals are as follows:In the context of ensuring the safety and security of electricity supply, each new or upgraded power substation, as critical power infrastructure, should be subjected to a well-functioning risk assessment, which includes: simulation of different operating modes, assessment of occupational health and safety risks, assessment of security risks, and assessment of reliability parameters.

Author (S) Details

Daniel N. Fita
University of Petrosani, 332093 Petrosani, Romania.

Emilia Grigorie
University of Petrosani, 332093 Petrosani, Romania.

DragosPasculescu
University of Petrosani, 332093 Petrosani, Romania.

Florin G. Popescu
University of Petrosani, 332093 Petrosani, Romania.

Alina D. Handra
University of Petrosani, 332093 Petrosani, Romania.

Cristian Rada
University of Petrosani, 332093 Petrosani, Romania.

Crina Barb
University of Petrosani, 332093 Petrosani, Romania.


View Book :https://stm.bookpi.org/CASTR-V13/article/view/2806

Study on Thermomagnetic Conversion of Low-grade Waste Heat into Electrical Power | Chapter 6 | Newest Updates in Physical Science Research Vol. 8

 This chapter presents a theoretical analysis based on the thermal modelling of a Curie wheel, which is used to convert low-grade waste heat into electrical power. It enables designers to better understand the thermal behaviour of a Curie wheel in steady-state operation. A stationary one-dimensional analytical thermal model based on a Lagrangian technique was created to achieve this goal. It enables the determination of the temperature distribution in a magnetocaloric material exposed to a periodic sinusoidal heat source throughout time. The impacts of several parameters (the nature of the magnetocaloric material, the nature and temperature of the fluid) were determined and analysed using this model.

Author (S) Details

G. El Achkar
International Centre in Fundamental and Engineering Thermophysics, Tianjin University of Commerce, Guangrong Rd 409, Beichen District, Tianjin, 300134, China.

A. Dianoux
IJL, UMR CNRS 7198, Universite de Lorraine, BP 70239, 54506 Vandoeuvre-l ´ es-Nancy Cedex, ` France.

A. Kheiri
LEMTA, UMR CNRS 7563, Universite de Lorraine, 2 avenue de la For ´ et de Haye, TSA 60604, 54518 ˆ Vandoeuvre-les-Nancy Cedex, France.

D. Maillet
LEMTA, UMR CNRS 7563, Universite de Lorraine, 2 avenue de la For ´ et de Haye, TSA 60604, 54518 ˆ Vandoeuvre-les-Nancy Cedex, France.

T. Mazet
IJL, UMR CNRS 7198, Universite de Lorraine, BP 70239, 54506 Vandoeuvre-l ´ es-Nancy Cedex, ` France.

S. Colasson
LSED, Commissariat a l’Energie Atomique et aux ` energies alternatives, 17 rue des Martyrs, 38054 ´ Grenoble Cedex 9, France.

M. Feidt
LEMTA, UMR CNRS 7563, Universite de Lorraine, 2 avenue de la For ´ et de Haye, TSA 60604, 54518 ˆ Vandoeuvre-les-Nancy Cedex, France.

C. Rado
LMA, Commissariat a l’Energie Atomique et aux ` energies alternatives, 17 rue des Martyrs, 38054 ´ Grenoble Cedex 9, France.

F. Servant
LMA, Commissariat a l’Energie Atomique et aux ` energies alternatives, 17 rue des Martyrs, 38054 ´ Grenoble Cedex 9, France.

V. Paul-Boncour
ICMPE, UMR CNRS 7182, 2-8 rue Henri Dunant, 94320 Thiais, France.

View Book :- https://stm.bookpi.org/NUPSR-V8/article/view/1757

Relationship between Rainfall Variability and Millet (Pennisetum americanum L.) and Sorghum (Sorghum bicolor (L) moench.) Yields in the Sudan Savanna Ecological Zone of Nigeria: A Modelling Approach | Chapter 5 | Cutting-edge Research in Agricultural Sciences Vol. 10

 The purpose of this study is to investigate the relationship between rainfall variability parameters and millet (Pennisetum americanum L.) and sorghum (Sorghum bicolor (L) moench.) yields in Nigeria's Sudan Savanna ecological zone. Daily rainfall, millet, and sorghum yield data collected by nearby stations between 1981 and 2010 were used as input in the model. It aims to create a model that can predict millet and sorghum yields based on rainfall data. The following analytical tools were used to develop and test the model's performance: ogive of cumulative pentad rainfall, product - Stepwise multiple regression analysis, moment correlation coefficient (r), and coefficient of determination (R2). Four yield forecast models were developed as a result of the research: three for millet in Kano, Katsina, and Potiskum, and one for sorghum in Potiskum. Assuming the best-fitted yield forecast models, the model accounted for 61.7 percent of the variation in millet yield related to total yearly rainfall and 68.1 percent of the variation in sorghum yield related to total rainfall in May. The 38.3 percent unaccounted variation in millet yield and 31.9 percent variation in sorghum yield suggest that other factors may influence the yield variability of the two crops.

Author (s) Details

Dr. Haruna Saleh
Department of Geography, Umaru Musa Yar`adua University, Katsina State, Nigeria.

Dr. Tasi’u Yalwa Rilwanu
Department of Geography, Bayero University, Kano, Nigeria.

View Book :- https://stm.bookpi.org/CRAS-V10/article/view/1562