A Review of Methods Employed to Identify Flicker Producing Sources

Because of increasing requirements of the present consumers and industrial units utilizing sensitive loads, there is need of good power quality in order to retain the power quality standards. Nowadays the study of the voltage flicker is becoming essential part of power quality studies. The flicker is typically the effect of a rapidly changing load which is large with respect to the short circuit ability of an electrical supply system. The inferior effects of voltage flicker include malfunctioning of power electronic equipment. Also it causes annoying effects to human. Hence detection of the flicker source is an essential step in the power quality assessment process. This paper delivers a review about methods used to identify flicker producing loads in accordance with IEC 61000-4-15. Once the report related to the disturbance place is known, an investigation and corrective action can be accordingly carried out. Also a method based upon Discrete Wavelet Transform and Artificial Neural Network is proposed to detect initial instance of occurrence of flicker

Field assisted processing of 3D printed ceramics

Advanced ceramic products for highly demanding applications in electronics, energy, healthcare and defence sectors require densification/sintering, a high temperature process (~1000–2000oC) that in industry can take days. The amount of energy needed, and CO2 emitted, is therefore very significant. Conventional processing of these functional devices/components are often plagued by interfacial issues, unwanted grain growth and limitations of co-firing dissimilar materials. Thus, rapid and efficient sintering methods such as SPS, Microwave Assisted Sintering (MAS) and Flash Sintering (FS) are continuously being developed. These approaches referred as Field Assisted Sintering Techniques (FAST) use an external field that was demonstrated to have a positive effect on densification. For example, the FS method, for reasons that are far from fully understood, has yielded full densification in very short periods (5 s) at very low furnace temperatures (850oC) for zirconia, and at a surprisingly low temperature of 325oC for Co2MnO4 spinel ceramics. The associated time and energy advantage is estimated to be staggering, as well as the ability to tailor the microstructure. In this talk, we will have a closer look at MAS and FS methods– one a well-established and the other a newly emerging densification method. The MAS method can be suitable for the processing of various simple and complex shaped engineering components, the early use of FS method was restricted to dog-bone shaped ceramic specimens – that are both difficult to make and do not have much industrial applicability. However, the recent developments have demonstrated that FS can also be used to sinter different sample shapes. We investigated the feasibility of sintering of 3D printed ultra-low loss 5G microwave dielectrics, YSZ/ZTA biomedical components using MS and FS methods along with measurements of shrinkage and thermal mapping. This talk will review these developments on FS along with the operative mechanisms in comparison with MAS

A Clinical study on Kalladaippu with Nilakumilaver Kudineer

Kalladaippu is the most common any one disease in our country. The disease kalladaippu can correlated in modern science is urolithiasis. One such drug, “Nilakumilaver Kudineer” mentioned in the book AGATHIYAR VAITHYA KAVIYAM -1500 ,PAGE NO.651 &652). Hence I have chosen this medicine as my dissertation work to evaluate its therapeutic efficacy in treating kalladaippu noi. The disease was diagnosed by following various siddha diagnostic investigation methods. A total of 40 patients of both sex (20 op and 20 ip) were selected and administered with the following trial drug at PG department of pothumaruthuvam, government siddha medical college and hospital, palayamkottai. Nilakumilaver Kudineer – 50ml , BD morning and evening with . The trial medicine was subjected to biochemical, pharmacological and acute toxicity studies. At the end of the study trial drug is safe and effective in the treatment of KALLADAIPPU NOI

Physical characterization of cellulosic fibres from Sesbania grandiflora stem

437-441In the present investigation, the morphology and the porosity of the Sesbania grandiflora fibre has been studied by SEM in order to understand their effects on the capillary structure and the hygroscopic behavior. The physical properties, such as tensile strength, elongation, density, fineness, morphological structure, water absorption coefficient and thermo-gravimetric analysis, have been examined. X-ray diffraction and Fourier transform infrared spectroscopy (FTIR) are used to identify the crystalline index and chemical groups present in the fibre. It has been found that this new vegetable material has a very low bulk density and a highest water absorption capacity. FTIR and X-ray analyses have proved that these fibres are rich in cellulosic content with crystallinity index of 51% cellulose content of 70.75 wt %, density of 1.4738 g/cc, and tensile strength of 365-11100 Mpa. The results show that Sesbania grandiflora fibres have comparable fibre strength, elongation and cellulose content to jute, hemp, ramie, Phoenicx sp, okra and Prosopis juliflora. The new fibre has better crystallinity index than banana, bagasse and sponge gourd and hence can be utilized for technical textiles application

Physical characterization of cellulosic fibres from Sesbania grandiflora stem

In the present investigation, the morphology and the porosity of the Sesbania grandiflora fibre has been studied by SEMin order to understand their effects on the capillary structure and the hygroscopic behavior. The physical properties, such astensile strength, elongation, density, fineness, morphological structure, water absorption coefficient and thermo-gravimetricanalysis, have been examined. X-ray diffraction and Fourier transform infrared spectroscopy (FTIR) are used to identify thecrystalline index and chemical groups present in the fibre. It has been found that this new vegetable material has a very lowbulk density and a highest water absorption capacity. FTIR and X-ray analyses have proved that these fibres are rich incellulosic content with crystallinity index of 51% cellulose content of 70.75 wt %, density of 1.4738 g/cc, and tensilestrength of 365-11100 Mpa. The results show that Sesbania grandiflora fibres have comparable fibre strength, elongationand cellulose content to jute, hemp, ramie, Phoenicx sp, okra and Prosopis juliflora. The new fibre has better crystallinityindex than banana, bagasse and sponge gourd and hence can be utilized for technical textiles application

A computational view on nanomaterial intrinsic and extrinsic features for nanosafety and sustainability

In recent years, an increasing number of diverse Engineered Nano-Materials (ENMs), such as nanoparticles and nanotubes, have been included in many technological applications and consumer products. The desirable and unique properties of ENMs are accompanied by potential hazards whose impacts are difficult to predict either qualitatively or in a quantitative and predictive manner. Alongside established methods for experimental and computational characterisation, physics-based modelling tools like molecular dynamics are increasingly considered in Safe and Sustainability-by-design (SSbD) strategies that put user health and environmental impact at the centre of the design and development of new products. Hence, the further development of such tools can support safe and sustainable innovation and its regulation. This paper stems from a community effort and presents the outcome of a four-year-long discussion on the benefits, capabilities and limitations of adopting physics-based modelling for computing suitable features of nanomaterials that can be used for toxicity assessment of nanomaterials in combination with data-based models and experimental assessment of toxicity endpoints. We review modern multiscale physics-based models that generate advanced system-dependent (intrinsic) or timeand environment-dependent (extrinsic) descriptors/features of ENMs (primarily, but not limited to nanoparticles, NPs), with the former being related to the bare NPs and the latter to their dynamic fingerprinting upon entering biological media. The focus is on (i) effectively representing all nanoparticle attributes for multicomponent nanomaterials, (ii) generation and inclusion of intrinsic nanoform properties, (iii) inclusion of selected extrinsic properties, (iv) the necessity of considering distributions of structural advanced features rather than only averages. This review enables us to identify and highlight a number of key challenges associated with ENMs’ data generation, curation, representation and use within machine learning or other advanced data-driven models to ultimately enhance toxicity assessment. Finally, the set up of dedicated databases as well as the development of grouping and read-across strategies based on the mode of action of ENMs using omics methods are identified as emerging methodologies for safety assessment and reduction of animal testing

A computational view on nanomaterial intrinsic and extrinsic features for nanosafety and sustainability

In recent years, an increasing number of diverse Engineered Nano-Materials (ENMs), such as nanoparticles and nanotubes, have been included in many technological applications and consumer products. The desirable and unique properties of ENMs are accompanied by potential hazards whose impacts are difficult to predict either qualitatively or in a quantitative and predictive manner. Alongside established methods for experimental and computational characterisation, physics-based modelling tools like molecular dynamics are increasingly considered in Safe and Sustainability-by-design (SSbD) strategies that put user health and environmental impact at the centre of the design and development of new products. Hence, the further development of such tools can support safe and sustainable innovation and its regulation.This paper stems from a community effort and presents the outcome of a four-year-long discussion on the benefits, capabilities and limitations of adopting physics-based modelling for computing suitable features of nanomaterials that can be used for toxicity assessment of nanomaterials in combination with data-based models and experimental assessment of toxicity endpoints. We reviewmodern multiscale physics-based models that generate advanced system-dependent (intrinsic) or time -and environment-dependent (extrinsic) descriptors/features of ENMs (primarily, but not limited to nanoparticles, NPs), with the former being related to the bare NPs and the latter to their dynamic fingerprinting upon entering biological media. The focus is on (i) effectively representing all nanoparticle attributes for multicomponent nanomaterials, (ii) generation and inclusion of intrinsic nanoform properties, (iii) inclusion of selected extrinsic properties, (iv) the necessity of considering distributions of structural advanced features rather than only averages. This review enables us to identify and highlight a number of key challenges associated with ENMs' data generation, curation, representation and use within machine learning or other advanced data-driven models to ultimately enhance toxicity assessment. Finally, the set up of dedicated databases as well as the development of grouping and read-across strategies based on the mode of action of ENMs using omics methods are identified as emerging methodologies for safety assessment and reduction of animal testing.Horizon 2020(H2020)814426Solid state NMR/Biophysical Organic ChemistrySupramolecular & Biomaterials Chemistr

POPULATION DYNAMICS OF MOSQUITOES IN COIMBATORE CITY, TAMIL NADU, INDIA

Mosquitoes are causative agents for many diseases and affect millions of people worldwide. A detailed investigation was undertaken to study the mosquito population dynamics in selected areas of Coimbatore city, namely, Puliyakulam, Karamadai and Sennanur, from November 2018-May 2019. The adult mosquitoes were collected by using a Biogent mosquitaire trap. During the study time, weather parameters were reported in order to determine these factors which influence the mosquito population. Canonical Correspondence Analysis (CCA) was employed to study the pattern of variation in mosquito species. A total number of 3297 adult mosquitoes were collected that belonged to four genera and nine species. The most abundant species was found to be Culex quinquefasciatus, followed by Aedes aegypti and Armigers subalbatus. CCA showed a positive relationship in Aedes aegypti with rainfall. The study provides essential information on population dynamics and various vector species of mosquitoes in selected areas of Coimbatore city. &nbsp