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Study on self-compacting polyester fiber reinforced concrete and strength prediction using ANN
Chella Gifta Christopher,Partheeban Pachaivannan,P. Navin Elamparithi Techno-Press 2023 Advances in concrete construction Vol.15 No.2
The characteristics of self-compacting concrete (SCC) made with fly ash and reinforced with polyester fibers were investigated in this research. Polyester fibers of 12 mm long and 15 micrometer diameters were utilized in M40 grade SCC mixtures at five different volume fractions 0.025%, 0.05%, 0.075%, 0.1%, 0.3% as a fiber reinforcement. To understand the influence of polyester fibers on passing ability, flowability, segregate resistance the J ring, L box, V funnel, slump flow and U box tests were performed. Polyester fibers have a direct influence, with a maximum of 0.075% polyester fibers producing excellent characteristics. ANN models were constructed using the testing data as inputs to anticipate the fresh and hardened characteristics as targeted outputs. The research revealed that R<sup>2</sup> values ranging from 0.900 to 0.997 appears to be a good correlation. The performance of ANN models and regression models for predicting the new characteristics of SCC is also evaluated.
Chella Gifta Christopher,Ramesh Gopal,Sasivaradhan Sadasivam,A. K. Devi Keerthika Esakki,P. Dinesh Kumar 한국콘크리트학회 2023 International Journal of Concrete Structures and M Vol.17 No.5
This study investigates the influence of steel and polyester fibers on the mechanical and durability properties of steel–polymer hybrid fiber reinforced concrete (HyFRC) and toughness under indirect tensile loading conditions. Steel and Polyester fibers are used as a single type (FRC) and in combination (HyFRC) in an M45 grade composite with the addition of fly ash and silica fume as a supplementary cementitious material. Steel as a single fiber exhibited a 10% improvement in compressive strength for a 0.75% volume fraction and a maximum of 14% improvement for a 0.5% volume fraction in comparison to plain concrete. The toughness under split tension capacity was enhanced between 26 and 72% for hybrid fibers in comparison with polyester fiber, and it was between 10 and 18% when compared to the steel fiber reinforcement. Water sorpitivity results were improved with the presence of hybrid fiber. Electrical resistivity decreases with the increase in fiber content and the addition of steel fiber in hybrid FRC increases the conductivity value 1.65–2.23 times greater than the control concrete because of the free movement of electrons.
Bistable Microdevice with Electrothermal Compliant Mechanism
C. Joshitha,Chella Santhosh,B. S. Sreeja,S. Rooban,G. S. N. Koteswara Rao 한국전기전자재료학회 2022 Transactions on Electrical and Electronic Material Vol.23 No.3
The compliance mechanism plays a crucial role in the MEMS (Micro-Electro-Mechanical Systems) device design as it provides elastic body deformation through respective force and motion transmission. This paper presents, an electrothermal compliant mechanism using V-beam combo structure. Design methodology, fabrication process flow, characterization results and future scope of the proposed device are elaborated. The limited elasticity of Silicon material resulted in limited response of the fabricated device compared to the FEM tool results. Hence an extended optimization for the design structure through POLYMUMPs process is recommended to overcome the limitation. The proposed device finds an application in RF switch domain with its low power consumption feature.
Image to Text Conversion Technique for Anti-Plagiarism System
Mark B. Batomalaque,Chella May R. Camacho,Maria Jewella P. Dalida,Jen Aldwayne B. Delmo ASCONS 2019 IJASC Vol.1 No.2
Background/Objectives: The IMAGE TO TEXT CONVERSION TECHNIQUE FOR ANTI-PLAGIARISM SYSTEM is a design project on how the Optical Character Recognition will be utilized in order to extract text from images that can be used to increase the accuracy rate of an anti-plagiarism checker. It also highlights the integration of Convolutional Neural Network and its effect in the result of the conversion. Methods/Statistical analysis: Optical Character Recognition is a technology that recognizes text within an image. It is commonly used to recognize text in scanned documents, but it serves many other purposes as well. While Convolutional Neural network is a category of neural networks that have been proven very effective in performing image recognition and classification. The main objective of the study is to design a software that will convert images of text into plain editable text. The study aims to use a specific algorithm to extract useful information from the images. Findings: It will integrate the two algorithm, convolutional neural network and optical character recognition technology in order to develop a software. The input of the software is a document in .docx format and will generate an output in the same format. Improvements/Applications: This software will be an aid to the existing anti-plagiarism checkers to generate a more thorough and better plagiarism
Kumar, P. Ramesh,Kollu, Pratap,Santhosh, Chella,Eswara Varaprasada Rao, K.,Kim, Do Kyung,Grace, Andrews Nirmala The Royal Society of Chemistry 2014 NEW JOURNAL OF CHEMISTRY Vol.38 No.8
<P>Porous CoFe<SUB>2</SUB>O<SUB>4</SUB> nanoclusters with different concentrations of graphene based composites were synthesized by a simple solvothermal process. The electrochemical properties of prepared CoFe<SUB>2</SUB>O<SUB>4</SUB>–reduced graphene oxide (rGO) composites were evaluated using polyvinylidene fluoride and Na-alginate as binder materials. The CoFe<SUB>2</SUB>O<SUB>4</SUB> + 20% rGO composite with alginate exhibited a high stable capacity of 1040 mA h g<SUP>−1</SUP> at 0.1 C (91 mA g<SUP>−1</SUP>) rate with excellent rate capability. The observed enhancement in electrochemical properties of the CoFe<SUB>2</SUB>O<SUB>4</SUB> + 20% rGO composite with alginate is due to the high stability and good transportation network while charging–discharging.</P> <P>Graphic Abstract</P><P>Porous CoFe<SUB>2</SUB>O<SUB>4</SUB> nanoclusters with different concentrations of graphene based composites were synthesized by a simple solvothermal process. <IMG SRC='http://pubs.rsc.org/services/images/RSCpubs.ePlatform.Service.FreeContent.ImageService.svc/ImageService/image/GA?id=c4nj00419a'> </P>
Synthesis of Cobalt Sulfide–Graphene (CoS/G) Nanocomposites for Supercapacitor Applications
Ramachandran, Rajendran,Felix, Sathiyanathan,Saranya, Murugan,Santhosh, Chella,Velmurugan, Venugopal,Ragupathy, Bala Praveen Chakkravarthy,Soon Kwan Jeong,Grace, Andrews Nirmala IEEE 2013 IEEE TRANSACTIONS ON NANOTECHNOLOGY Vol.12 No.6
<P>Cobalt sulfide (CoS) and graphene nanocomposites were prepared from cobalt nitrate, thioacetamide, and graphene as starting materials in the presence of poly(vinylpyrrolidone) as surfactant. Furthermore, its morphology and properties were characterized by X-ray diffraction (XRD), field-emission scanning electron microscope, diffusive reflectance ultraviolet-visible spectroscopy, Fourier transform infrared spectroscopy, and electrochemical measurements. The XRD reveals the amorphous nature of the nanocomposites. The as-prepared nanocomposites were tested for its supercapacitance property by cyclic voltammetric (CV) experiment in 6M KOH electrolyte. CV was performed at a potential range of 0 to -0.8 V at different scan rates, and results show an excellent capacitive behavior of the nanocomposites. A maximum specific capacitance of 2423.3 F/g was obtained at a scan rate of 5 mV/s.</P>
Barlesi, F.,Scherpereel, A.,Gorbunova, V.,Gervais, R.,Vikströ,m, A.,Chouaid, C.,Chella, A.,Kim, J. H.,Ahn, M. J.,Reck, M.,Pazzola, A.,Kim, H. T.,Aerts, J. G,Morando, C.,Loundou, A.,Groen, H. J. M. Oxford University Press 2014 Annals of oncology Vol.25 No.5
<P>The randomized, phase III AVAPERL trial evaluated the safety and efficacy of bevacizumab maintenance with or without pemetrexed in nonsquamous non–small cell lung cancer (nsNSCLC). Progression-free survival (PFS) was significantly prolonged with bevacizumab–pemetrexed. At a median follow-up of 14.8 months, OS events occurred in 58% of all patients. OS was numerically longer with bevacizumab–pemetrexed versus bevacizumab when measured from randomization (17.1 versus 13.2 months, HR, 0.87 [0.63–1.21]; P=0.29). Second-line therapy was administered in 77% and 70% of patients in the bevacizumab and bevacizumab–pemetrexed arms, respectively.</P>