scholarly journals Advances with Molecular Nanomaterials in Industrial Manufacturing Applications

2021 ◽  
Vol 1 (2) ◽  
pp. 75-97
Author(s):  
Md Subhan ◽  
Kristi Choudhury ◽  
Newton Neogi

Molecular nanomaterials are of prodigious reputation for their uses in the numerous industries. This article highlights established industrial potential application areas for nanoparticles. The success of nanomanufacturing depends on the strong cooperation between academia and industry in order to be informed about current needs and future challenges, to design products directly translated to the industrial sector. The selection of the appropriate method, combining synthesis of nanomaterials with required properties and limited impurities as well as scalability of the technique, is of paramount importance. Varieties of molecular nanomaterials and their synthesis, characterization, and important applications are of current interest in several industries. Improved synthetic routes and advanced characterization methods will be important to advance molecular nanomaterials for their rapid translation to industries, manufacturing many useful products, and their implication in global economic development. Nanomaterials have emerging applications in almost all modern industries including construction, textile, water, aeronautics, food, medicine, environment cosmetics, machinery, oil and gas and computer. In the current review, we have chosen some leading industries world-wide that use nanomaterials. Besides the important applications of nanomaterials in almost all spheres of human life and environment, their toxicological effects must be addressed properly to utilize these applications. There are also some obstacles to a greater impact of nanotechnology in industry including its toxicological effects in human and surrounding environments and regulations of nanomaterials use. This review addresses molecular nanomaterials synthesis strategies, characterization methods developments, and their novel industrial and other relevant application fields.

Author(s):  
E.A. Kovrigin ◽  
◽  
V.A. Vasilyev ◽  

Given the trends in the modern world, as well as the rapid growth of digitalization, it is safe to say that it will inevitably affect almost all areas of human life and activities. Dmitriev’s English dictionary defines the word readiness: «It is a state where everything is done to start doing something.» Accordingly, an assessment of the company’s readiness to integrate modern digital technologies will identify opportunities, risks and threats, strengths and weaknesses of the enterprise, as well as to formulate a list of initial measures that need to be implemented. Thus, there is an urgent need to find an answer to the following questions: «How (by, what criteria and indicators) to measure readiness?», «What are the approaches to readiness assessment?» The purpose of this article is to develop a model and algorithm to assess the company’s readiness to integrate modern digital technologies. Modelling techniques were used to achieve this goal, as well as to analyze and generalize information. As a result of the research, a model for assessing the company’s readiness to integrate modern digital technologies has been developed and tested, based on the quality management model presented in the ISO 9000 series standards. A particular example shows how to use it and what it ultimately allows you to see and evaluate.


2021 ◽  
Author(s):  
Sahar Abdul-Karim Khattab ◽  
Marwa Sami Alsheebani

Abstract The objective of this paper is to study various methods that can be implemented on existing or new tanks to achieve an extended endorsement period (e.g. 20 years plus) for Crude Oil Floating Roof Storage Tanks. This extended period is necessary in order to overcome anticipated future challenges in tank availability due to (i) increased production and loading, (ii) stretched major overhaul (MOH) duration due to unforeseen delays in MOH works, (iii) corrosion in bottom plates, etc. An extensive research based on international API Standard 653 "Tank Inspection, Repair, Alteration, and Reconstruction" was conducted to achieve this extended period. Initially, some COS tanks aspects were assessed based on API SPEC 653 (2014, Addendum 2, May 2020) to achieve this new Tanks Endorsement Vision, such as: (a) studying the currently applied Corrosion Protection Barriers to the COS tanks and their effectiveness to the endorsement period, (b) the adequacy of commonly applied Corrosion Protection Barriers with respect to the endorsement period, and (c) exploring possible enhancements on COS Tanks Corrosion Protection Barriers, and Monitoring systems to extend tanks endorsement period. Based on API SPEC 653 (2014, Addendum 2, May 2020), currently applied tank safeguards were found inadequate to achieve the 20 years plus tank endorsement period requirement. In order to extend tanks endorsement period, additional safeguards shall be implemented, with special attention to tank bottom plates (soil side), since corrosion problems are mostly exhibited in tank bottom plates from the soil/oil side. Multiple solutions for corrosion safeguards were explored and recommended as part of this study such as the installation of a CP system under COS tanks, as well as installation of a corrosion monitoring system, and performing routine in-service inspections for COS tanks (internal and external) as per API SPEC 653 (2014, Addendum 2, May 2020), etc. Overall, this paper provides an insight on the calculation method of tanks endorsement period, and possible tank corrosion safeguards and controls that can be implemented to extend the COS tanks endorsement period to at least 20 years. Results and recommendations studied in this paper will benefit the Oil and Gas Industry and help in overcoming future challenges.


Author(s):  
Terry Griffiths ◽  
Scott Draper ◽  
Liang Cheng ◽  
Feifei Tong ◽  
Antonino Fogliani ◽  
...  

As offshore renewable energy projects progress from concept demonstration to commercial-scale developments there is a need for improved approaches beyond conventional cable engineering design methods that have evolved from larger diameter pipelines for the oil and gas industry. New approaches are needed to capture the relevant physics for small diameter cables on rocky seabeds to reduce the costs and risks of power transmission and increase operational reliability. This paper reports on subsea cables that MeyGen installed for Phase 1a of the Pentland Firth Inner Sound tidal stream energy project. These cables are located on rocky seabeds in an area where severe metocean conditions occur. ROV field observation of these cables shows them to be stable on the seabed with little or no movement occurring over almost all of the cable routes, despite conventional engineering methods predicting significant dynamic movement. We cite recent research undertaken by the University of Western Australia (UWA) to more accurately assess the hydrodynamic forces and geotechnical interaction of cables on rocky seabeds. We quantify the conformity between the cables and the undulating rocky seabed, and the distributions of cable-seabed contact and spanning via simulations of the centimetric-scale seabed bathymetry. This analysis leads to calculated profiles of lift, drag and seabed friction along the cable, which show that all of these load and reaction components are modelled in an over-conservative way by conventional pipeline engineering techniques. Overall, our analysis highlights that current cable stability design can be unnecessarily conservative on rocky seabeds. Our work foreshadows a new design approach that offers more efficient cable design to reduce project capex and enhance through-life integrity management.


2019 ◽  
Vol 25 (3) ◽  
pp. 496-514 ◽  
Author(s):  
Nataraj Poomathi ◽  
Sunpreet Singh ◽  
Chander Prakash ◽  
Rajkumar V. Patil ◽  
P.T. Perumal ◽  
...  

Purpose Bioprinting is a promising technology, which has gained a recent attention, for application in all aspects of human life and has specific advantages in different areas of medicines, especially in ophthalmology. The three-dimensional (3D) printing tools have been widely used in different applications, from surgical planning procedures to 3D models for certain highly delicate organs (such as: eye and heart). The purpose of this paper is to review the dedicated research efforts that so far have been made to highlight applications of 3D printing in the field of ophthalmology. Design/methodology/approach In this paper, the state-of-the-art review has been summarized for bioprinters, biomaterials and methodologies adopted to cure eye diseases. This paper starts with fundamental discussions and gradually leads toward the summary and future trends by covering almost all the research insights. For better understanding of the readers, various tables and figures have also been incorporated. Findings The usages of bioprinted surgical models have shown to be helpful in shortening the time of operation and decreasing the risk of donor, and hence, it could boost certain surgical effects. This demonstrates the wide use of bioprinting to design more precise biological research models for research in broader range of applications such as in generating blood vessels and cardiac tissue. Although bioprinting has not created a significant impact in ophthalmology, in recent times, these technologies could be helpful in treating several ocular disorders in the near future. Originality/value This review work emphasizes the understanding of 3D printing technologies, in the light of which these can be applied in ophthalmology to achieve successful treatment of eye diseases.


2017 ◽  
Vol 5 ◽  
pp. 802-806 ◽  
Author(s):  
Teodor Savov ◽  
Valentina Terzieva ◽  
Katia Todorova ◽  
Petia Kademova-Katzarova

The information and communication technologies (ICT) have penetrated into almost all areas of human life. They have a dual impact on education – increase learning efficiency and train students actively to use innovations. We assess this impact by examining teachers’ experience with innovative tools in Bulgarian schools. In an anonymous online survey, we investigate their opinions on the issues related to technology integration in contemporary classrooms. The research shows that educators appreciate the benefits of technology implementation in the teaching-learning process, but they need a single structured system encompassing all technological resources and tools. This work proposes a conception for a smart classroom – an innovative learning environment that can establish and control suitable conditions for education as well as to impact the instructional process directly.


2020 ◽  
Vol 2 (3) ◽  
Author(s):  
Yurlis Sartika ◽  
Syamsul Amar

Abstract : This study aims to analyze the factors that influence the demand for fuel oil in Indonesia. The independent variables of this study are: (X1) Economy, (X2) Total Population. The model chosen in this study is the Random Effect Model (REM).            This type of research is descriptive and associative research, the data used in this study are secondary data using panel data techniques during the 2015-2018 period. Documentation data collection techniques obtained from the Central Statistics Agency and BPH Migas. Data were analyzed using the Regression Panel.   The results of this study indicate that: (1) The economy has a positive and significant effect on demand for fuel oil in Indonesia. This means that as the economy increases, the demand for fuel oil in Indonesia also increases. Indonesia's energy consumption is dominated by fossil energy, especially fuel. Final energy consumption consists of various sectors, namely households, industry, transportation, commercial, and others. Energy is very much needed in carrying out Indonesia's economic activities, both for consumption needs and for the production activities of various economic sectors. (2) The population has a positive and significant effect on the demand for fuel oil in Indonesia. This means that the greater the population, the higher the demand for fuel oil in Indonesia. From year to year the population of Indonesia as one of the developing countries in the world continues to experience growth. This growth has had various impacts on aspects of human life. One aspect that is quite affected by the increase in population is the use of energy to support the necessities of life which includes the industrial sector, households, transportation and so forth. The greater the population, the greater the energy used. Keywords : Economy, Population and Panel Regression


2020 ◽  
pp. 147-158
Author(s):  
Asantha Senevirathna

 COVID-19 pandemic has become a major crisis in 2020. The pandemic has claimed thousands of lives and is spreading a negative economic impact around the global economy. The pandemic has caused a devastating impact on human life in many of the countries without a clear distinction among developed or developing nations. Sri Lanka is facing the heat of the pandemic gradually since January and has taken various measures to combat the situation. The COVID-19 pandemic forwarded a greater challenge to Sri Lanka since the country has faced various disasters in the recent past and question marks remain about the government’s response. The Sri Lankan government response to the current COVID-19 crisis has been largely successful and is ranked among the best responsive countries in the world. This paper discusses Sri Lanka’s strategies in dealing with COVID-19 pandemic and possible future challenges related to the issue.


Author(s):  
D.A. Tomiltseva ◽  
A.S. Zheleznov

Artificial agents i.e., man-made technical devices and software that are capable of taking meaningful actions and making independent decisions, permeate almost all spheres of human life today. Being new political actants, they transform the nature of human interactions, which gives rise to the problem of ethical and political regulation of their activities. Therefore, the appearance of such agents triggers a global philosophical reflection that goes beyond technical or practical issues and makes researchers return to the fundamental problems of ethics. The article identifies three main aspects that call for philosophical understanding of the existence of artificial agents. First, artificial agents reveal the true contradiction between declared moral and political values and real social practices. Learning from the data on the assessments and conclusions that have already taken place, artificial agents make decisions that correspond to the prevailing behavioral patterns rather than moral principles of their creators or consumers. Second, the specificity of the creation and functioning of artificial agents brings the problem of responsibility for their actions to the forefront, which, in turn, requires a new approach to the political regulation of the activities of not only developers, customers and users, but also the agents themselves. Third, the current forms of the activity of artificial agents shift the traditional boundaries of the human and raise the question of redefining the humanitarian. Having carefully analyzed the selected aspects, the authors reveal their logic and outline the field for further discussion.


Sensors ◽  
2021 ◽  
Vol 21 (20) ◽  
pp. 6743
Author(s):  
Vasiliki Kelli ◽  
Vasileios Argyriou ◽  
Thomas Lagkas ◽  
George Fragulis ◽  
Elisavet Grigoriou ◽  
...  

Internet of Things (IoT) is a concept adopted in nearly every aspect of human life, leading to an explosive utilization of intelligent devices. Notably, such solutions are especially integrated in the industrial sector, to allow the remote monitoring and control of critical infrastructure. Such global integration of IoT solutions has led to an expanded attack surface against IoT-enabled infrastructures. Artificial intelligence and machine learning have demonstrated their ability to resolve issues that would have been impossible or difficult to address otherwise; thus, such solutions are closely associated with securing IoT. Classical collaborative and distributed machine learning approaches are known to compromise sensitive information. In our paper, we demonstrate the creation of a network flow-based Intrusion Detection System (IDS) aiming to protecting critical infrastructures, stemming from the pairing of two machine learning techniques, namely, federated learning and active learning. The former is utilized for privately training models in federation, while the latter is a semi-supervised approach applied for global model adaptation to each of the participant’s traffic. Experimental results indicate that global models perform significantly better for each participant, when locally personalized with just a few active learning queries. Specifically, we demonstrate how the accuracy increase can reach 7.07% in only 10 queries.


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