scholarly journals Mechanical and Thermal Characterisation of Millscale Modified Al-Cu Alloy for Artificial Intelligence Systems

2021 ◽  
Vol 16 (1) ◽  
pp. 133-140
Author(s):  
Olatunde Israel Sekunowo ◽  
Catherine U. Kuforiji ◽  
Emmanuel Oluwaseun Ajibodu
Keyword(s):  
Artificial Intelligence ◽  
Mechanical Properties ◽  
Gas Flow ◽  
Oil And Gas ◽  
Thermal Characteristics ◽  
Thermal And Mechanical Properties ◽  
Flow Process ◽  
Cu Alloy ◽  
Thermal Analyser ◽  
Artificial Intelligence Systems

Continuous research into critical functional property enhancement of materials employed in artificial intelligence systems is imperative to overcome performance limitations. This study investigated the thermal and mechanical properties of stir-cast fabricated Al-Cu alloy modified with addition of iron-millscale (IMS) particles varied from 2-6 wt.%. The alloys microstructure was analysed using both optical and scanning electron microscope coupled with energy dispersive spectroscopy (SEM/EDS). PerkinElmer Thermogravimetry/Derivative thermal analyser was used to assess the alloys thermal characteristics while the mechanical properties were evaluated using relevant state of the art equipment. Results show that the best thermal and mechanical properties comparable to established standards were achieved at 6 wt.% IMS particle addition. Contributions to the alloy enhanced performances stemmed from the structure refining propensity of IMS particles. Based on the thermal and mechanical properties demonstrated, the alloy is recommended for application in pneumatic offshore valve actuator used in oil and gas flow process lines.

Recent Advances in Graphene-Based Pressure Sensors

Nano LIFE ◽  
2016 ◽  
Vol 06 (03n04) ◽  
pp. 1642005 ◽  
Author(s):  
Lu Zhang ◽  
Guangfeng Hou ◽  
Zhizhen Wu ◽  
Vesselin Shanov
Keyword(s):  
Artificial Intelligence ◽  
Mechanical Properties ◽  
Health Care ◽  
Electrical Conductivity ◽  
Surface Area ◽  
Pressure Sensor ◽  
Pressure Sensors ◽  
Exciting Field ◽  
Recent Advances ◽  
Artificial Intelligence Systems

With the promising applications in artificial intelligence systems and wearable health care devices, great efforts have been devoted to develop advanced pressure sensors. Graphene-based materials are promising pressure sensor materials due to the excellent electrical conductivity, outstanding mechanical properties and large surface area. This review summarizes the recent advances and progress in graphene and graphene-based pressure sensors. Perspectives and challenges in this exciting field are also highlighted and discussed.

scholarly journals Experiencing ProvLake to Manage the Data Lineage of AI Workflows

2020 ◽  
Author(s):  
Leonardo Guerreiro Azevedo ◽  
Renan Souza ◽  
Raphael Melo Thiago ◽  
Elton Soares ◽  
Marcio Moreno
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Data Management ◽  
Oil And Gas ◽  
Core Concept ◽  
Data Lineage ◽  
Oil And Gas Exploration ◽  
Provenance Data ◽  
Management Techniques ◽  
Artificial Intelligence Systems

Machine Learning (ML) is a core concept behind Artificial Intelligence systems, which work driven by data and generate ML models. These models are used for decision making, and it is crucial to trust their outputs by, e.g., understanding the process that derives them. One way to explain the derivation of ML models is by tracking the whole ML lifecycle, generating its data lineage, which may be accomplished by provenance data management techniques. In this work, we present the use of ProvLake tool for ML provenance data management in the ML lifecycle for Well Top Picking, an essential process in Oil and Gas exploration. We show how ProvLake supported the validation of ML models, the understanding of whether the ML models generalize respecting the domain characteristics, and their derivation.

scholarly journals Thermal and Mechanical Properties of Microporous Polyurethanes Modified with Reduced Graphene Oxide

2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Michał Strankowski ◽  
Damian Włodarczyk ◽  
Łukasz Piszczyk ◽  
Justyna Strankowska
Keyword(s):  
Mechanical Properties ◽  
Graphene Oxide ◽  
Reduced Graphene Oxide ◽  
Degradation Rate ◽  
Thermal Characteristics ◽  
Functional Materials ◽  
Point Of View ◽  
Thermal And Mechanical Properties ◽  
Reduced Graphene

Microporous polyurethanes (MPU) were modified by adding 0.25%–1.25 wt% of reduced graphene oxide (RGO). The materials were prepared without solvent viain situpolymerization. From a technological point of view, it is very important to obtain functional materials by using reacting compounds only. The thermal characteristics of obtained MPU were investigated using TGA, DSC, and DMA techniques. In comparison to nonmodified microporous polyurethane, the thermal stability and mechanical properties of the modified systems have significantly improved. The temperature corresponding to the maximum degradation rate (Tmax) for nanocomposites containing 1% and 1.25 wt% of RGO was 51°C higher than that observed for pure microporous PU system. The increase of tensile strength was also observed for matrix with the addition of 0.5 wt% RGO nanofiller.

Thermal and Mechanical Properties of Mg-Cu(Ni)-Y(Gd) Amorphous Alloys

2007 ◽  
Vol 539-543 ◽  
pp. 1926-1931 ◽  
Author(s):  
T.H. Hung ◽  
Y.C. Chang ◽  
H.M. Chen ◽  
Y.L. Tsai ◽  
J.C. Huang ◽  
...  
Keyword(s):  
Mechanical Properties ◽  
Differential Scanning Calorimetry ◽  
Amorphous Alloys ◽  
Melt Spinning ◽  
Mechanical Characteristics ◽  
Thermal Characteristics ◽  
Thermal And Mechanical Properties ◽  
Scanning Calorimetry ◽  
Glassy Alloys ◽  
The Sacrifice

The thermal and mechanical characteristics of various Mg-Cu(Ni)-Y(Gd) metallic glassy alloys prepared by melt spinning are examined using differential scanning calorimetry (DSC), thermomechanical analyzer (TMA), and instrumental nanoindenter. The replacement of Y by Gd appears to benefit both the thermal and mechanical properties, while the replacement of Cu by Ni improves only the hardness and modulus, with the sacrifice of thermal characteristics. The amorphous Mg-Cu-Gd based alloys can be fabricated into rods with a diameter greater than 6 mm, with minimum porosity and reasonable toughness.

scholarly journals GRAPHENE OXIDE REINFORCED POLY (VINYL ALCOHOL) NANOCOMPOSITE: FABRICATION AND CHARACTERIZATION FOR THERMAL AND MECHANICAL PROPERTIES INVESTIGATIONS

2019 ◽  
Vol 11 (4) ◽  
pp. 125-129
Author(s):  
Sami Makharza ◽  
Maryam Faroun ◽  
Mohammad Bawwab ◽  
Ibrahim Afaneh
Keyword(s):  
Mechanical Properties ◽  
Graphene Oxide ◽  
Vinyl Alcohol ◽  
Thermal Characteristics ◽  
Poly Vinyl Alcohol ◽  
Significant Finding ◽  
Thermal And Mechanical Properties ◽  
Scanning Calorimetry ◽  
Uniform Dispersion ◽  
Oxide Particles

We reported the fabrication of poly (vinyl alcohol) incorporated with two different sizes of graphene oxide particles. Scanning electron microscopy (SEM) revealed two sizes of graphene oxide, the first size is as prepared GO_300 nm and the second size is 100nm after hard sonication. The alteration in thermal and mechanical properties of PVA/ GO (5, 10, 15, 20%) nanocomposite compering with PVA are mainly due to the uniform dispersion of GO particles in the polymer matrix and huge interfacial interaction between PVA and GO sheets. Differential scanning calorimetry shows obvious changes in thermal characteristics of PVA after mixing with GO particles. The composite samples exhibit a significant finding at different concentrations and size distribution of GO.

Effects of Trace Elements on Thermal and Mechanical Properties of Al–Zn–Cu Based Alloys Using Extrusion

2020 ◽  
Vol 20 (7) ◽  
pp. 4216-4220
Author(s):  
Yong-Ho Kim ◽  
Hyo-Sang Yoo ◽  
Hyeon-Taek Son
Keyword(s):  
Mechanical Properties ◽  
Thermal Conductivity ◽  
Tensile Strength ◽  
Trace Elements ◽  
Thermal Properties ◽  
Ultimate Tensile Strength ◽  
Extrusion Direction ◽  
Hot Extrusion ◽  
Thermal And Mechanical Properties ◽  
Cu Alloy

Thermal properties and microstructure of Al-4 wt.% Zn-2 wt.% Cu–x (x = 2 wt%. Mg, 2 wt%. Sn, 0.7 wt.% Mg-0.7 wt.% Sn-0.7 wt.% Ca) alloys on cast and extrusion have been investigated with extrusion temperature of 400 °C. Al-4 wt.% Zn-2 wt.% Cu alloy was composed of Al and Al2Cu phases. By adding Mg contents, Al2Mg3Zn3 phase was increased and Al2Cu phase was decreased respectively. During hot extrusion, elongated in the extrusion direction because of severe deformation. The thermal conductivity with temperature and composition of as-extruded Al-4 wt.% Zn-2 wt.% Cu–x alloys decreases with adding 2 wt.% Mg, 2 wt.% Sn contents from 190.925 and 196.451 W/mK but thermal properties of addition of 0.7 wt.% Mg-0.7 wt.% Sn-0.7 wt.% Ca element slightly reduced from 222.32 to 180.775 W/mK. The ultimate tensile strength (UTS) for Al-4 wt.% Zn- 2 wt.% Cu alloy was 121.67 MPa. By adding 2 wt.% Mg contents, tensile strength was dramatically increased with 350.5 MPa.

Artificial intelligence as a moving force of improvement and innovative development in education and pedagogic

2019 ◽  
pp. 21-30
Author(s):  
M. G. Koliada ◽  
T. I. Bugayova
Keyword(s):  
Artificial Intelligence ◽  
Intelligent Systems ◽  
Intelligent System ◽  
Interaction Analysis ◽  
Educational Data Mining ◽  
Main Task ◽  
Intellectual System ◽  
Will Force ◽  
To Come ◽  
Artificial Intelligence Systems

The article discusses the history of the development of the problem of using artificial intelligence systems in education and pedagogic. Two directions of its development are shown: “Computational Pedagogic” and “Educational Data Mining”, in which poorly studied aspects of the internal mechanisms of functioning of artificial intelligence systems in this field of activity are revealed. The main task is a problem of interface of a kernel of the system with blocks of pedagogical and thematic databases, as well as with the blocks of pedagogical diagnostics of a student and a teacher. The role of the pedagogical diagnosis as evident reflection of the complex influence of factors and reasons is shown. It provides the intelligent system with operative and reliable information on how various reasons intertwine in the interaction, which of them are dangerous at present, where recession of characteristics of efficiency is planned. All components of the teaching and educational system are subject to diagnosis; without it, it is impossible to own any pedagogical situation optimum. The means in obtaining information about students, as well as the “mechanisms” of work of intelligent systems based on innovative ideas of advanced pedagogical experience in diagnostics of the professionalism of a teacher, are considered. Ways of realization of skill of the teacher on the basis of the ideas developed by the American scientists are shown. Among them, the approaches of researchers D. Rajonz and U. Bronfenbrenner who put at the forefront the teacher’s attitude towards students, their views, intellectual and emotional characteristics are allocated. An assessment of the teacher’s work according to N. Flanders’s system, in the form of the so-called “The Interaction Analysis”, through the mechanism of fixing such elements as: the verbal behavior of the teacher, events at the lesson and their sequence is also proposed. A system for assessing the professionalism of a teacher according to B. O. Smith and M. O. Meux is examined — through the study of the logic of teaching, using logical operations at the lesson. Samples of forms of external communication of the intellectual system with the learning environment are given. It is indicated that the conclusion of the found productive solutions can have the most acceptable and comfortable form both for students and for the teacher in the form of three approaches. The first shows that artificial intelligence in this area can be represented in the form of robotized being in the shape of a person; the second indicates that it is enough to confine oneself only to specially organized input-output systems for targeted transmission of effective methodological recommendations and instructions to both students and teachers; the third demonstrates that life will force one to come up with completely new hybrid forms of interaction between both sides in the form of interactive educational environments, to some extent resembling the educational spaces of virtual reality.

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