scholarly journals Effect of local mechanical stress on piezoelectric pressure sensors for ship automation systems

2021 ◽  
pp. 82-86
Author(s):  
В.В. Бородина
Keyword(s):  
Mechanical Load ◽  
Piezoelectric Materials ◽  
Theoretical Calculations ◽  
Pressure Sensors ◽  
Polarized Light ◽  
Full Agreement ◽  
Automation Systems ◽  
Distribution Of Stress ◽  
Proper Operation

В статье рассматриваются проблемы прочности и надёжности чувствительных элементов пьезоэлектрических датчиков давления, являющихся важной частью систем автоматизации судна. Экспериментально исследуются изменения микроструктуры пьезоэлектрических материалов на примере монокристаллического сегнетоэлектрика BaTiO3 в поле неоднородных механических напряжений. Экспериментальная установка позволила при помощи оптического микроскопа в поляризованном свете «на просвет» производить наблюдения образцов непосредственно под механической нагрузкой. Рассмотрены условия появления пластических деформаций и появления микротрещин, приводящих к разрушению элемента. Определена роль в указанных процессах изменений доменной структуры кристаллов, а именно 90-градусных доменных переориентаций, происходящих в поле локальной механической нагрузки. Экспериментальные результаты полностью согласуются с теоретическими расчётами распределения полей напряжений под локальной механической нагрузкой. Сделан вывод о значении локальных механических воздействий на чувствительный элемент, нарушающих его правильную работу. The article deals with the problems of strength and reliability of the sensitive elements of piezoelectric pressure sensors. They are an important part of ship automation systems. Changes in the microstructure of piezoelectric materials are experimentally investigated using the example of a single-crystal ferroelectric BaTiO3 in the field of non-uniform mechanical stresses. The experimental setup with a polarized light microscope in transmission regime allowed to make observations of samples directly under mechanical load. The conditions for the appearance of plastic deformations and the appearance of microcracks leading to the destruction of the element are considered. The role of changes in the domain structure of crystals in these processes is determined. Specifically, 90-degree domain reorientations that occur in the field of local mechanical load are studied. The experimental results are in full agreement with the theoretical calculations of the distribution of stress fields under local mechanical load. The conclusion is made about the values of local mechanical influences on the sensitive element that violate its proper operation.

scholarly journals Physiological and interactomic analysis reveals versatile functions of Arabidopsis 14-3-3 quadruple mutants in response to Fe deficiency

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jing Gao ◽  
Paula J. M. van Kleeff ◽  
Ka Wan Li ◽  
Albertus H. de Boer
Keyword(s):  
Iron Acquisition ◽  
Tca Cycle ◽  
Utilization Efficiency ◽  
Fe Deficiency ◽  
Transcriptional Level ◽  
Functional Aspects ◽  
Clear Explanation ◽  
Physiological Analysis ◽  
Proper Operation

AbstractTo date, few phenotypes have been described for Arabidopsis 14-3-3 mutants or the phenotypes showing the role of 14-3-3 in plant responding to abiotic stress. Although one member of the 14-3-3 protein family (14-3-3 omicron) was shown to be involved in the proper operation of Fe acquisition mechanisms at physiological and gene expression levels in Arabidopsis thaliana, it remains to be explored whether other members play a role in regulating iron acquisition. To more directly and effectively observe whether members of 14-3-3 non-epsilon group have a function in Fe-deficiency adaptation, three higher order quadruple KOs, kappa/lambda/phi/chi (klpc), kappa/lambda/upsilon/nu(klun), and upsilon/nu/phi/chi (unpc) were generated and studied for physiological analysis in this study. The analysis of iron-utilization efficiency, root phenotyping, and transcriptional level of Fe-responsive genes suggested that the mutant with kl background showed different phenotypes from Wt when plants suffered Fe starved, while these phenotypes were absent in the unpc mutant. Moreover, the absence of the four 14-3-3 isoforms in the klun mutant has a clear impact on the 14-3-3 interactome upon Fe deficiency. Dynamics of 14-3-3-client interactions analysis showed that 27 and 17 proteins differentially interacted with 14-3-3 in Wt and klun roots caused by Fe deficiency, respectively. Many of these Fe responsive proteins have a role in glycolysis, oxidative phosphorylation and TCA cycle, the FoF1-synthase and in the cysteine/methionine synthesis. A clear explanation for the observed phenotypes awaits a more detailed analysis of the functional aspects of 14-3-3 binding to the target proteins identified in this study.

Microstructure of early embryonic aortic arch and its reversibility following mechanically altered hemodynamic load release

2020 ◽  
Vol 318 (5) ◽  
pp. H1208-H1218 ◽  
Author(s):  
Merve Celik ◽  
Selda Goktas ◽  
Cansu Karakaya ◽  
Ayse Idil Cakiroglu ◽  
Sercin Karahuseyinoglu ◽  
...  
Keyword(s):  
Mechanical Load ◽  
Time Lag ◽  
Avian Embryo ◽  
Cross Sectional ◽  
Matrix Microstructure ◽  
Vessel Lumen ◽  
Area Increase ◽  
Load Release ◽  
Cardiovascular Interventions

The present study undertakes comparative analyses of the mechanistic differences of the arterial matrix microstructure and dynamics in the three fundamental processes of control, conotruncal banded, and released conotruncal band in avian embryo. Among other findings, this study provides specific evidence on the restorative role of elastin during the early lumen growth process. During vascular development, a novel intermittent load-switching mechanism between elastin and collagen, triggered by a step increase in wall shear stress, governs the chronic vessel lumen cross-sectional area increase. Mimicking the fetal cardiovascular interventions currently performed in humans, the early release of the abnormal mechanical load rescues the arterial microstructure with time-lag.

Artificial Intelligence Applications for Industry 4.0: A Literature-Based Study

2021 ◽  
pp. 1-29
Author(s):  
Mohd Javaid ◽  
Abid Haleem ◽  
Ravi Pratap Singh ◽  
Rajiv Suman
Keyword(s):  
Artificial Intelligence ◽  
Industry 4.0 ◽  
Decisive Role ◽  
Vital Role ◽  
Data Types ◽  
Process Data ◽  
Automation Systems ◽  
Recent Developments ◽  
Iot Devices

Artificial intelligence (AI) contributes to the recent developments in Industry 4.0. Industries are focusing on improving product consistency, productivity and reducing operating costs, and they want to achieve this with the collaborative partnership between robotics and people. In smart industries, hyperconnected manufacturing processes depend on different machines that interact using AI automation systems by capturing and interpreting all data types. Smart platforms of automation can play a decisive role in transforming modern production. AI provides appropriate information to take decision-making and alert people of possible malfunctions. Industries will use AI to process data transmitted from the Internet of things (IoT) devices and connected machines based on their desire to integrate them into their equipment. It provides companies with the ability to track their entire end-to-end activities and processes fully. This literature review-based paper aims to brief the vital role of AI in successfully implementing Industry 4.0. Accordingly, the research objectives are crafted to facilitate researchers, practitioners, students and industry professionals in this paper. First, it discusses the significant technological features and traits of AI, critical for Industry 4.0. Second, this paper identifies the significant advancements and various challenges enabling the implementation of AI for Industry 4.0. Finally, the paper identifies and discusses significant applications of AI for Industry 4.0. With an extensive review-based exploration, we see that the advantages of AI are widespread and the need for stakeholders in understanding the kind of automation platform they require in the new manufacturing order. Furthermore, this technology seeks correlations to avoid errors and eventually to anticipate them. Thus, AI technology is gradually accomplishing various goals of Industry 4.0.

Searching for Dark Matter: Background Discrimination in the PICO detector

2018 ◽  
Author(s):  
Simon Daley
Keyword(s):  
Dark Matter ◽  
Image Analysis ◽  
Direct Detection ◽  
Pressure Sensors ◽  
Weakly Interacting Massive Particles ◽  
Acoustic Sensors ◽  
Good Discrimination ◽  
Bubble Chambers ◽  
Background Events

The PICO experiment uses superheated bubble chambers located at SNOLAB for direct detection of Weakly Interacting Massive Particles (WIMPs), one of the candidate particles for dark matter. Bubbles form in the detector when a particle interacts with a nucleus of the target fluid, and the recoiling deposits enough energy to nucleate a bubble in the superheated fluid. Much of the data analysis for PICO focuses on determining what type of particle caused a bubble to form. The differentiation is made by analysing signals from pressure sensors, piezoelectric acoustic sensors, and stereoscopic cameras. This talk will present an overview of the sensors and analysis which are used to discriminate between WIMP interactions and background events in the PICO 2L detector, with a focus on the role of image analysis and the potential sensitivity of the detector if good discrimination can be realized.

The role of trauma in the occurrence of hematogenous osteomyelitis in children

1937 ◽  
Vol 33 (9) ◽  
pp. 1073-1076
Author(s):  
I. S. Vengerovsky
Keyword(s):  
Full Agreement ◽  
Bone Infections ◽  
Hematogenous Osteomyelitis

There is still no full agreement on the question of the role of trauma in the occurrence of endogenous bone infections. While some authors consider trauma to be a significant factor in the onset of osteomyelitis, others do not attach particular importance to it.

RECOMMENDATIONS FOR THE OPERATION OF AUTOMATED CONTROL SYSTEMS OF THE RECLAMATION MODE OF AGROECOSYSTEM

2021 ◽  
pp. 15-22
Author(s):  
I. F. YURCHENKO ◽  
Keyword(s):  
Agricultural Production ◽  
Production Operation ◽  
Agricultural Producers ◽  
Automated Control ◽  
Production Processes ◽  
Automation Systems ◽  
Significant Research ◽  
Automation Equipment ◽  
Conducting Research

The publication presents the results of research on the formation of theoretical and practical recommendations for agricultural producers, preparing requirements for development, implementing and operating automation systems for agricultural production in the reclamation sector of the economy. The object of research was the management systems of the reclamation regime of agroecosystems,the subject – the systems of automation of technological processes of agricultural production. As a methodological basis for conducting research, an information-analytical approach was chosen, including a systematic and comparative analysis, methods of expert and heuristic assessment of the results obtained. An analysis of the use of the opportunities, advantages and achievements of digitalization and automation of production processes in agrobusiness was carried out, which revealed a serious lag in the procedures and operations for introducing already developed digital technologies into production. The tasks of the effective formation of digitalization of agricultural production, focused on the priority use of digital competencies of all participants in the agribusiness process as a whole and each participant separately, have been formulated and solved. An algorithm of actions in the implementation of automation systems for reclaimed agroecosystems has been developed in a universal format, ensuring the success of their functioning. Measures have been developed for the introduction of automated technologies for managing agroecosystems, contributing to the efficiency of digitalization of agricultural production. These include: the choice of the site for the application of the APCS, the assessment of the need for resources for the successful functioning of innovations, the formation and implementation of measures for the construction and installation work, commissioning and trial operation of automation equipment, the creation of instructive and methodological support of production operation of automated technologies. Thus, in the current realities of the formation of digitalization of agro-production on ameliorated lands, the role of the formation of new knowledge and skills in managing production processes, forming a single system with the production of products, increases, which makes it possible to minimize the time for introducing significant research results into the practice of operating agricultural systems.

Investigation of Human Locomotion With a Powered Lower Limb Exoskeleton

2021 ◽  
pp. 233-254
Author(s):  
Sergey Fedorovich Jatsun ◽  
Andrey Yatsun ◽  
Sergei Savin
Keyword(s):  
Lower Limb ◽  
Pressure Sensors ◽  
Human Locomotion ◽  
Sensor System ◽  
Assistive Device ◽  
Supporting Surface ◽  
Lower Limb Exoskeleton ◽  
Contact Points ◽  
Human Ability

In this chapter, the lower limb exoskeleton is studied. The roles of the exoskeleton both as a measurement device for studying human locomotion and as an assistive device that restores the human ability to walk are discussed. Particular attention is given to the investigation of the role of the pressure sensors and other devices that allow us to measure normal reactions at the contact points with the supporting surface and also detect these contacts. The way the geometry of the supporting surface affects the sensors system of the robot is considered, and new designs for feet sensor system are proposed. These include elastic foot, a foot with actuated sensors, and a foot with spring-damper systems.

scholarly journals Exciton-to-trion conversion as a control mechanism for valley polarization in room-temperature monolayer WS2

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Joris J. Carmiggelt ◽  
Michael Borst ◽  
Toeno van der Sar
Keyword(s):  
Room Temperature ◽  
Polarized Light ◽  
Optical Excitation ◽  
Equation Model ◽  
Chemical Doping ◽  
Transition Metal Dichalcogenide ◽  
Net Charge ◽  
Circularly Polarized Light ◽  
Valley Polarization

Abstract Transition metal dichalcogenide (TMD) monolayers are two-dimensional semiconductors with two valleys in their band structure that can be selectively addressed using circularly polarized light. Their photoluminescence spectrum is characterized by neutral and charged excitons (trions) that form a chemical equilibrium governed by the net charge density. Here, we use chemical doping to drive the conversion of excitons into trions in $$\text {WS}_{2}$$ WS 2 monolayers at room temperature, and study the resulting valley polarization via photoluminescence measurements under valley-selective optical excitation. We show that the doping causes the emission to become dominated by trions with a strong valley polarization associated with rapid non-radiative recombination. Simultaneously, the doping results in strongly quenched but highly valley-polarized exciton emission due to the enhanced conversion into trions. A rate equation model explains the observed valley polarization in terms of the doping-controlled exciton-trion equilibrium. Our results shed light on the important role of exciton-trion conversion on valley polarization in monolayer TMDs.

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