Application Of Technology Research Articles

Suction influence on magneto-convective fluid flow embedded in a permeable media under internal friction

This work examines the natural convection flow of an incompressible, viscous, and electrically conducting fluid down a vertical flat plate in the presence of conduction, as well as the effects of suction, magnetic field, viscous dissipation, porous medium, and heat generation. The governing momentum and energy equations have numerical solutions. The impacts of suction, heat production, magnetic, porosity, and viscous dissipation parameters on two-dimensional flow are discussed. Graphical representations of the velocity profile, temperature distribution, skin friction, rate of heat transfer, and surface temperature distribution are shown. The presence of porous media and improving suction values improves the friction drag but diminishes the energy transfer. The thermal production parameter raises the energy inside the flow but diminishes the heat transfer coefficient. This work attempts to offer important insights into these intricate processes by examining the effects of controlling factors including magnetic fields, porous medium, and suction parameters. This research conclusion may find applications in coolers, heat exchangers, and environmental remediation technologies that are more effective, advancing engineering and sustainable practices.

Ubiquitous Order-Disorder Transition in the Mn Antisite Sublattice of the (MnBi2Te4)(Bi2Te3)n Magnetic Topological Insulators.

Magnetic topological insulators (TIs) herald a wealth of applications in spin-based technologies, relying on the novel quantum phenomena provided by their topological properties. Particularly promising is the (MnBi2Te4)(Bi2Te3)n layered family of established intrinsic magnetic TIs that can flexibly realize various magnetic orders and topological states. High tunability of this material platform is enabled by manganese-pnictogen intermixing, whose amounts and distribution patterns are controlled by synthetic conditions. Here, nuclear magnetic resonance and muon spin spectroscopy, sensitive local probe techniques, are employed to scrutinize the impact of the intermixing on the magnetic properties of (MnBi2Te4)(Bi2Te3)nand MnSb2Te4. The measurements not only confirm the opposite alignment between the Mn magnetic moments on native sites and antisites in the ground state of MnSb2Te4, but for the first time directly show the same alignment in (MnBi2Te4)(Bi2Te3)n with n = 0, 1 and 2. Moreover, for all compounds, the static magnetic moment of the Mn antisite sublattice is found to disappear well below the intrinsic magnetic transition temperature, leaving a homogeneous magnetic structure undisturbed by the intermixing. The findings provide a microscopic understanding of the crucial role played by Mn-Bi intermixing in (MnBi2Te4)(Bi2Te3)n and offer pathways to optimizing the magnetic gap in its surfacestates.

Clean, competitive, and productive? The impact of environment‐friendly technologies on exporting and productivity of the manufacturing companies in Belarus

AbstractThe impact of trade on the environment is a big concern, with increasing focus on the role of international trade in climate change. This study explores the bidirectional relationships between export intensity, adoption of environmentally friendly measures, and productivity using the firm‐level data from Belarus. It aims to answer whether exporting enterprises are more environmentally oriented and whether the application of cleaner technologies brings productivity improvement and increases the export intensity of an enterprise. We estimate a system of structural equations using three‐stage least squares in which export intensity, adoption of environmentally friendly measures, and productivity are by design treated as endogenous. The findings show that when a company adopts one more environmentally friendly measure, it increases its export intensity by 4.4%–4.6%. Adoption of cleaner technologies improves labor productivity in a company by 20.7%, but it is negatively associated with its resource productivity (a 1.9% decrease), which results in the neutral effect on the total productivity.

Ubiquitous Order-Disorder Transition in the Mn Antisite Sublattice of the (MnBi2Te4)(Bi2Te3)n Magnetic Topological Insulators.

Magnetic topological insulators (TIs) herald a wealth of applications in spin-based technologies, relying on the novel quantum phenomena provided by their topological properties. Particularly promising is the (MnBi2Te4)(Bi2Te3)n layered family of established intrinsic magnetic TIs that can flexibly realize various magnetic orders and topological states. High tunability of this material platform is enabled by manganese-pnictogen intermixing, whose amounts and distribution patterns are controlled by synthetic conditions. Here, nuclear magnetic resonance and muon spin spectroscopy, sensitive local probe techniques, are employed to scrutinize the impact of the intermixing on the magnetic properties of (MnBi2Te4)(Bi2Te3)nand MnSb2Te4. The measurements not only confirm the opposite alignment between the Mn magnetic moments on native sites and antisites in the ground state of MnSb2Te4, but for the first time directly show the same alignment in (MnBi2Te4)(Bi2Te3)n with n = 0, 1 and 2. Moreover, for all compounds, the static magnetic moment of the Mn antisite sublattice is found to disappear well below the intrinsic magnetic transition temperature, leaving a homogeneous magnetic structure undisturbed by the intermixing. The findings provide a microscopic understanding of the crucial role played by Mn-Bi intermixing in (MnBi2Te4)(Bi2Te3)n and offer pathways to optimizing the magnetic gap in its surfacestates.

Topology Optimization of Anisotropic Materials with Smooth Fiber Orientation

In the concurrent optimization of topology and fiber orientation, the design of smooth fiber helps to maintain the stability of numerical calculation and the compatibility of the manufacturing process. However, the improvement of fiber continuity is often accompanied by a significant decrease in the overall structural stiffness. Aiming at this problem, this paper proposes a topology optimization method for anisotropic materials with smooth fiber orientation. This method improves the smoothness of fiber orientation and reduces stiffness loss by introducing a fiber angle constraint strategy and adaptive filtering technology. The fiber angle constraint strategy integrates the created angle constraint function into the Method of Moving Asymptotes (MMA) to complete the strong constraint of the angle. This strategy quantifies the continuity of the fiber and effectively improves the continuity of the fiber. At the same time, the application of adaptive filtering technology can adjust a reasonable fiber angle distribution on the basis of smoothing fibers, thereby enhancing the stiffness of the overall structure. In addition, this paper shows the complete optimization process and MATLAB code implementation and verifies the effectiveness of the method through a series of numerical examples, that is, on the basis of improving fiber continuity, the stiffness of the whole structure is guaranteed, and then the effective balance between the two is realized.

Suction influence on magneto-convective fluid flow embedded in a permeable media under internal friction

This work examines the natural convection flow of an incompressible, viscous, and electrically conducting fluid down a vertical flat plate in the presence of conduction, as well as the effects of suction, magnetic field, viscous dissipation, porous medium, and heat generation. The governing momentum and energy equations have numerical solutions. The impacts of suction, heat production, magnetic, porosity, and viscous dissipation parameters on two-dimensional flow are discussed. Graphical representations of the velocity profile, temperature distribution, skin friction, rate of heat transfer, and surface temperature distribution are shown. The presence of porous media and improving suction values improves the friction drag but diminishes the energy transfer. The thermal production parameter raises the energy inside the flow but diminishes the heat transfer coefficient. This work attempts to offer important insights into these intricate processes by examining the effects of controlling factors including magnetic fields, porous medium, and suction parameters. This research conclusion may find applications in coolers, heat exchangers, and environmental remediation technologies that are more effective, advancing engineering and sustainable practices.

Non-pillar mining of upper coal seam layers with double-roadway driving using a flexible-formwork pre-cast partition wall

Abstract When mining layered coal seams, three-soft coal seams, high-gas coal seams, or hard-roof coal seams with the application of gob-side entry retention technology, various practical problems that seriously threaten construction safety arise, such as roadway deformation, shear failure of the roadway supporting body, and air leakage in the goaf. To effectively address these issues, in this work, a novel, pillar-free, coal mining technique based on a flexible-formwork pre-cast partition wall was proposed and applied to a case study: working face 2301 (upper) at Yuecheng Coal Mine, China. The principles of the technique and the characteristics of the movement in the surrounding rock were comprehensively examined. Through theoretical analysis and numerical simulation, the support parameters of the roadway and flexible-formwork pre-cast partition wall were determined and applied in the case study. From our analysis, it was demonstrated that the parameters of the flexible-formwork pre-cast partition wall and roadway support are reasonably designed, achieving effective roadway retention. Combined with a top cutting and pressure relief process, the roadway deformation can be eventually stabilised with the mining of the working face and does not affect the subsequent use of the roadway. From the acquired data, a good agreement between the field real-time measurements and the numerical simulation software measurements was found, which is helpful for the analysis of technological perspectives of the proposed framework. The introduced technology can effectively solve the technical problems existing in the traditional gob-side entry retention. It can not only realize non-pillar mining, but also double-roadway driving without coal pillars in 2301 working face can be achieved, which significantly improves the technical and economic index of the mine.

3D technologies in STEAM education

The article presents the application of 3D technologies in STEAM education through a conducted scientific research, highlighting the role of 3D modeling and 3D printing as an innovative approach in achieving an interdisciplinary learning model. The research included the following stages: preparation for designing a detailed 3D steam locomotive model; analysis of process difficulties; giving students and lecturers the opportunity to perform a specific modeling task, using basic primitives from solid geometry, as well as a questionnaire to analyze and evaluate the skills and knowledge of the participants in the 3D modeling field. In this context, the preparation process of a 3D steam locomotive model for educational purposes, using Autodesk 3ds Max software, is presented, and the 3D printing technology FDM is examined. We issued a challenge to the participants in the research to design a non-complex 3D model, using unfamiliar 3D modeling software Blender, within a limited time. The questionnaire covered topics in education, science, art, STEAM, and 3D modeling. The goal is to showcase the role of the integration of 3D technologies in educational environments with the idea of developing key skills and knowledge in learners.

A comprehensive review on the Dynamical behavior of heat and fluid flow mechanism: Thermal performance across different geometries

The prominent novelty of current review is to exhibit the fluctuating and oscillatory convective heat transfer properties along various geometries with magnetic force, variable density, Prandtl number, buoyancy force and magnetic Prandtl number effects. The significance of present work is to illustrate a comprehensive review on transient convective heat transfer. Transient convective heat transfer plays an essential role in various technological and environmental applications, including climate control, structure safety, engines, thermal control, computer heating and cooling, and energy safety. The literature primarily focuses on steady temperature and velocity domains, with few studies exploring time-varying fluid flow in forced, natural, or mixed convective mechanisms with different methods. In current review, justification of results was performed by using oscillating stokes conditions directly in partial differential models. The similarity variables and stream functions are used in literature but in current review, the primitive variable transformation is used with implicit form of finite difference method and Gaussian elimination technique through FORTRAN and Tecplot-360 programming tools. The governing model is reduced into steady, real and imaginary form to explore steady and oscillating convective heat transmission. Transient flows have gained significance due to their ability to achieve large oscillating convective heat transfer rates. Compared with steady movement, oscillating flows exhibit higher velocity variations along the heated surface. Periodic flow produces an improved transient surface heat transmission rate than steady flow. Predicting and controlling transients in thermal exchangers requires a concept of transient forced convection heat transport. Transient convective thermal transmission solutions are important for ensuring the effectiveness and reliability of electrical components, nuclear and thermal power stations, heat-generating engines, steam turbines, condensation systems, catalytic converters, heat shielding for spacecraft, electrical devices, internal combustion engines, air conditioning and refrigerator components, cooling networks for batteries, generators, and transformers. It is found that the frequency of convective heat transport enhances through periodic and oscillating stokes variables. It was depicted that the higher amplitude in convective heat transfer was displayed for each choice of magnetic force parameter around two angles π/4 and π of circular magnetized surface. It was depicted that the maximum transient convective heat transmission was reported along vertical angle π/2 with buoyancy force, Prandtl and magnetic Prandtl values.

Deterministic preparation of a dual-species two-ion crystal

The demand for efficient preparation methods for dual-species ion crystals is rapidly expanding across quantum technology and fundamental physics applications with trapped ions. We present a deterministic and efficient technique to produce such crystals, utilizing the segmented structure of a linear Paul trap. By precisely tailoring the trapping potentials, we can split, move, and discard parts of an ion chain. This process is automated in a sequence that converts a larger ion sample into the desired configuration. A critical component of our approach is the accurate identification of crystal constituents. This is achieved by matching the measured positions of fluorescing ions against theoretical expectations for larger crystals, thus facilitating the detection of nonfluorescing ions and enabling accurate ion counting. We demonstrate that our method reliably produces two-ion crystals within minutes. These results represent a significant advance in the production of two-species ion crystals with applications ranging from quantum logic spectroscopy and optical clocks to quantum computing and simulations with trapped ions. Published by the American Physical Society 2024

Deterministic preparation of a dual-species two-ion crystal

The demand for efficient preparation methods for dual-species ion crystals is rapidly expanding across quantum technology and fundamental physics applications with trapped ions. We present a deterministic and efficient technique to produce such crystals, utilizing the segmented structure of a linear Paul trap. By precisely tailoring the trapping potentials, we can split, move, and discard parts of an ion chain. This process is automated in a sequence that converts a larger ion sample into the desired configuration. A critical component of our approach is the accurate identification of crystal constituents. This is achieved by matching the measured positions of fluorescing ions against theoretical expectations for larger crystals, thus facilitating the detection of nonfluorescing ions and enabling accurate ion counting. We demonstrate that our method reliably produces two-ion crystals within minutes. These results represent a significant advance in the production of two-species ion crystals with applications ranging from quantum logic spectroscopy and optical clocks to quantum computing and simulations with trapped ions. Published by the American Physical Society 2024

Transformative Technologies in Digital Agriculture: Leveraging Internet of Things, Remote Sensing, and Artificial Intelligence for Smart Crop Management

This paper explores the potential of smart crop management based on the incorporation of tools like digital agriculture, which considers current technological tools applied in agriculture, such as the Internet of Things (IoT), remote sensing, and artificial intelligence (AI), to improve crop production efficiency and sustainability. This is essential in the context of varying climatic conditions that affect the availability of resources for agriculture. The integration of tools such as IoT and sensor networks can allow farmers to obtain real-time data on their crops, assessing key health factors, such as soil conditions, plant water status, presence of pests, and environmental factors, among others, which can finally result in data-based decision-making to optimize irrigation, fertilization, and pest control. Also, this can be enhanced by incorporating tools such as drones and unmanned aerial vehicles (UAVs), which can increase monitoring capabilities through comprehensive field surveys and high-precision crop growth tracking. On the other hand, big data analytics and AI are crucial in analyzing extensive datasets to uncover patterns and trends and provide valuable insights for improving agricultural practices. This paper highlights the key technological advancements and applications in smart crop management, addressing challenges and barriers to the global adoption of these current and new types of technologies and emphasizing the need for ongoing research and collaboration to achieve sustainable and efficient crop production.

Transformative Technologies in Digital Agriculture: Leveraging Internet of Things, Remote Sensing, and Artificial Intelligence for Smart Crop Management

This paper explores the potential of smart crop management based on the incorporation of tools like digital agriculture, which considers current technological tools applied in agriculture, such as the Internet of Things (IoT), remote sensing, and artificial intelligence (AI), to improve crop production efficiency and sustainability. This is essential in the context of varying climatic conditions that affect the availability of resources for agriculture. The integration of tools such as IoT and sensor networks can allow farmers to obtain real-time data on their crops, assessing key health factors, such as soil conditions, plant water status, presence of pests, and environmental factors, among others, which can finally result in data-based decision-making to optimize irrigation, fertilization, and pest control. Also, this can be enhanced by incorporating tools such as drones and unmanned aerial vehicles (UAVs), which can increase monitoring capabilities through comprehensive field surveys and high-precision crop growth tracking. On the other hand, big data analytics and AI are crucial in analyzing extensive datasets to uncover patterns and trends and provide valuable insights for improving agricultural practices. This paper highlights the key technological advancements and applications in smart crop management, addressing challenges and barriers to the global adoption of these current and new types of technologies and emphasizing the need for ongoing research and collaboration to achieve sustainable and efficient crop production.

Field observation and verbal exchange as different peer effects in farmers’ technology adoption decisions

AbstractFarmers’ adoption of novel technologies is influenced by other farmers’ behavior, a phenomenon known as peer effects. Although such effects have been studied intensively, the literature does not clearly distinguish between those that result (1) from verbal exchanges with other farmers and (2) from field observations, including the application of technology, its outcomes, and field conditions. We extend existing theoretical concepts and hypothesize that verbal information exchanges and field observations are two types of peer effects. Using data from an online survey of German sugar beet farmers’ application of mechanical weeding from early 2022, we find that the likelihood of adopting mechanical weeding increases across all model specifications by around 26%–28% if at least one adopter is known and by approximately 30%–32% if at least one field is observed. The two types of peer effects complement and reinforce each other in explaining adoption decisions. The effects increase with the number of adopters known and fields observed but decrease with larger distances to the observed fields. The findings can support designing extension services and future peer effects research that should consider the distinction between peer effects arising from verbal exchanges and field observations.

5GSOLAR: On track for effective project commercialisation

5GSOLAR: On track for effective project commercialisation Maciej Sibiński, Research Professor from Tallinn University of Technology, highlights the 5GSOLAR project, which is on track to commercialise solar cells. The development of the new Sb2(S,Se)3, (Sb,Bi)2Se3 solar cells is currently underway, but effective commercialisation is crucial for successful growth, and proper perspective and potential technology applications are vital for future advancement. Intense effort was recently put into the development of Sb2S3 and Sb2Se3 structures in the Tallinn University of Technology’s Laboratory for Thin Film Energy Materials group, bringing about significant progress in both technology and efficiency levels. By using low-temperature and low-energy-consumption closed-spaced sublimation and chemical spray pyrolysis methods, the manufacturing technology was elaborated to achieve an industrial level.

Harmonizing smart city tech and anthropocentrism for climate resilience and Nature's benefit

The study argues that integrating smart technology within a society embracing anthropocentrism and a deep connection with nature can significantly impact climate change and mitigate its extreme risk factors. This approach is invaluable for advancing environmentalism and aligning with the Sustainable Development Goals (SDGs). Anthropocentrism, or human-centeredness, traditionally posits that humans have intrinsic value based on their unique capacities in epistemology and behaviourism. However, this study advocates for a more nuanced ethical stance, suggesting that other beings also possess value, particularly in their capacity to contribute to human welfare. To this end, there is a pressing need for further research into strategies and interventions that leverage environmentalism to foster a society where smart technology and nature's intrinsic value are integrated harmoniously for effective climate change management and mitigation. By addressing this research gap, the study aims to examine the current landscape of smart technology applications in human-nature integrated climate actions. It provides targeted recommendations for policymakers, urban planners, and other critical stakeholders on effectively synergizing with nature's inherent sustainability principles in combating climate change and addressing the global environmental crisis.

Utilizing Blockchain in Supply Chain Management

In this paper, we examine the potential applications, drawbacks, and benefits of blockchain technology within the framework of supply chain management. This research examines the pertinent literature and does an empirical analysis to determine the potential impacts that blockchain technology may have on the operational and strategic components of supply chains. The findings of this poll indicate that a large number of people are interested in and aware about blockchain technology and its potential applications, including improving the efficiency, security, and transparency of supply chain operations. Obstacles include resistance to change, concerns about security, and a general ignorance of science. Researchers and experts in the field can benefit from the study's insightful observations on the present and potential applications of blockchain technology in supply chain management. Key ideas include supply chain management, blockchain, technology utilization, potential, and challenges.

Utilizing Blockchain in Supply Chain Management

In this paper, we examine the potential applications, drawbacks, and benefits of blockchain technology within the framework of supply chain management. This research examines the pertinent literature and does an empirical analysis to determine the potential impacts that blockchain technology may have on the operational and strategic components of supply chains. The findings of this poll indicate that a large number of people are interested in and aware about blockchain technology and its potential applications, including improving the efficiency, security, and transparency of supply chain operations. Obstacles include resistance to change, concerns about security, and a general ignorance of science. Researchers and experts in the field can benefit from the study's insightful observations on the present and potential applications of blockchain technology in supply chain management. Key ideas include supply chain management, blockchain, technology utilization, potential, and challenges.

IMPLEMENTASI PENGGUNAAN APLIKASI SIMANIS DALAM PENGELOLAAN ARSIP DI KANTOR DESA NGREJO KECAMATAN BAKUNG KABUPATEN BLITAR

Today, the application of information technology is an important requirement in a government organization, this is to facilitate archive management in bringing order to the document assets of an organization. One of them is the Ngrejo Village Government Office which has implemented the SIMANIS application in supporting the management of organizational records. The purpose of this study is to find out how the implementation of the SIMANIS application (Village Information and Administration Management System) at the Ngrejo Blitar Village Office is in archive management and what obstacles are faced by the manager. The research method is descriptive qualitative with data sources obtained through observation, interviews, and documentation. The informants in this study were the Head of Ngrejo Village, the head of planning as the officer responsible for managing the archives, and the administrative and general heads as officers who assisted in managing the archives. The data analysis technique uses data reduction, data presentation, and conclusion drawing. The results of this study indicate that archive management at the Ngrejo Village Office has implemented information technology, namely the SIMANIS application which aims to improve officer performance, improve services, and maintain archive security. The obstacles faced in implementing the SIMANIS application are unstable internet networks because SIMANIS is basically a web-based archive management application. For this reason, the Ngrejo Village government should improve the quality of the internet network so that when officers input archive data it can run smoothly.

Virtual ecological landscape design of theme parks based on entertainment robots and VR devices

Currently, the design of virtual ecological landscapes in theme parks has become an innovative form of entertainment. This study aims to explore how to construct virtual ecological landscapes in theme parks through entertainment robots and VR devices, in order to provide an interactive entertainment experience between tourists and nature. We have built an outdoor sensing system and collected environmental data through sensors. Implement motion control of entertainment robots through programming, enabling them to interact according to environmental changes. Then, through information control and feedback technology, interaction with tourists is achieved. Analyze the motion trajectory of robots to optimize their performance, use virtual reality technology for design and rendering, achieve interactive effects through VR development platforms, and optimize VR devices through controlled simulation technology to enhance the virtual experience of tourists. Finally, combining the principles of ecological landscape design with landscape design techniques, applying VR design technology to achieve the design of virtual ecological landscapes in theme parks, considering the layout and combination of natural elements, in order to create virtual landscapes that are similar to real ecology. Through the application of VR technology, tourists can experience the landscape changes under different seasons and weather conditions, increasing the fun and realism of interaction. The results indicate that the virtual ecological landscape design of the theme park has been achieved through the combination of entertainment robots and VR devices. Tourists can obtain an immersive entertainment experience through interaction with robots and the application of virtual reality technology. Through robot trajectory analysis and ecological landscape recognition technology, the landscape design effect is optimized.