STUDY AND ANALYSIS OF LIFE OF SILICONE RUBBER COATINGS ON INSULATOR

The coatings have been in service for many years users are beginning to be concerned about the increased risk of flashover which are comes with aging, or the end-of-life, and the course of action that may be necessary for life extension or replacement. Study of the performance characteristics of commercial RTV silicone rubber coatings with various voltages

EXPERIMENTAL STUDY AND PERFORMANCE OF PERMANENT MAGNET AND WOUNDED TYPE DC MOTOR USING OF REGULATOR

The DC motor has important role in moving system because of mostly use in the industry. The speed control of DC motor is increasingly getting sophisticated and precise. The Speed of the DC motor is controlled by with the help of controlling the armature voltage. There are various methods of speed control of DC drives namely field control, armature voltage control

A Location centric Power Factor Based Path Switching Model for Efficient Electric Vehicle Span Maximization

The problem of vehicle span maximization and path switchinghas been well studied. There exists number of approaches towards maximizing the span of electric vehicles. However, the methods suffer to achieve higher performance in maximizing the span of the vehicle. Towards this, an efficient Location centric power factor path switching model (LPPSM) is presented in this article. As the electric vehicles has the limited span which is being affected by various factors like speed, wind, traffic, number of junctions, distance and so on. It is necessary to perform path switching towards maximizing the span of the vehicle. The model fetches the location of the vehicle at all the time; it finds the routes and measures the traffic at each route. According to the factors like number of junctions, traffic, distance, speed of the vehicle, the method estimates the Span Maximization Support (SMS) for various routes. According to the value of SMS, the method selects the most optimal route to reach the destination. Also, the method focused on maximizing the span of the vehicle and performs efficient path switching. The proposed method improves the performance of span maximization and path switching

Efficient Demand Centric Power Generation and Distribution Model for Improved Market Gain in Power Distribution Grids

The market gain of power grids is well studied and there exist various models to maximize the market gain of power distribution systems. However, the methods suffer to achieve higher performance in maximizing the market gain of power grids. Towards this, an efficient Demand Centric Power Generation Model (DCPGM) is presented in this article. The method maintains the traces of various power grids which have the capacity of grid in producing required voltage. The model focused on reducing the voltage loss and increasing the market gain of the power grids. To perform this, the method monitors the power demand at each cycle and maintains the cost of various power grids. According to the requirement and the cost of purchase, the method identifies set of grids and computes Market Gain Factor (MGF). Based on the MGF value, the method identifies set of grids and triggers them for power production. The rest of the grid units are triggered to silent mode. The proposed model improves the performance of power generation with higher market gain

Study of prescription pattern and adverse drug reactions in patients with cervical cancer in tertiary care teaching institute

Background: Cervical cancer is the second most common cancer in women especially in developing countries. In India, it is estimated that 1, 22, 644 new cases of cancer cervix occur every year. Incidence rate is 22 per lac population and mortality rate is 12.4 per lac population. The objective of this study was to study the prescription pattern and adverse drug reactions (ADRs) in patients with cervical cancer.Methods: Twenty five patients of cancer cervix Stage (IIa to IVb) receiving chemotherapy were enrolled in the study after written informed consent of patients. Approval was obtained from institutional ethics committee. It was cross sectional, observational study. Prescriptions were analysed for no. of drugs prescribed, time interval between two cycles, no. of cycles of chemotherapy. Any ADR observed by patient or treating physician was noted and causality was assessed by Naranjo’s algorithm. Preventability and severity of ADRs were assessed by modified Schumock and Thornton scale, modified Hartwig and Siegel scale respectively.Results: Twenty five patients were enrolled with mean age 52.24±8.66 years and mean weight 51.76±5.88 kg. 84% patients were on combination chemotherapy. Percentage of anticancer drugs prescribed were: cisplatin (72%); paclitaxel (40%); 5FU (36%); carboplatin (32%); gemcitabine (4%). Chemotherapeutic drugs were given at 3 weekly intervals for 6 cycles. ADR observed were nausea (76%), vomiting (40%), alopecia (32%), headache (12%), bodyache (12%), anorexia (12%), diarrhoea (8%) and malaise (4%). Causality assessment of ADR by Naranjo’s algorithm showed 89.8% probable and 10.2% possible reactions. According to modified Schumock and Thornton scale, 26.5% reactions are ‘not preventable’ however 73.5% are ‘definitely preventable’. According to modified Hartwig and Siegel scale, 75.5% were ‘mild level 1’severity however 24.5% were ‘moderate level 3’ severity.Conclusions: Among patients with CA cervix, cisplatin was most commonly prescribed drug. Nausea was most common ADR which is of ‘mild level 1’ severity

Real time Electric Pattern Based Voltage Regulation Model for Improved Power Stability

Towards effective voltage regulation and power stability, there exist number of approaches available in literature. The methods consider the residual voltage in various power grids in maximizing the power stability. However, the methods suffer to achieve higher performance in power stability and voltage regulation. To handle this issue, an efficient Electric Patter Based Voltage regulation model (EPVRM) is presented in this article. The method maintains the voltage trace belongs to various grids of the power system. Using the traces maintained, the method preprocesses the traces to remove the noisy records. The preprocessed trace has been used to generate the electrical pattern which contains residual voltage of various grid units. Using the electric pattern the method computes Electric Pattern Stability Support (EPSS) towards the required voltage. Based on the EPSS value, the method identifies the most efficient pattern to be scheduled for current cycle. The selected pattern has been scheduled to maintain the power stability. The proposed method improves the performance of voltage regulation and power stability

A Fuzzy Inference Model for Efficient Power Stabilization Model in PV Systems

The power stabilization in photovoltaic systems is well studied. There exist number of approaches in stabilizing the output power of PV systems. The most approaches concern about the input power and residual energy of capacitors. Still they suffer to achieve higher performance in power stabilization. To handle this issue, an efficient Fuzzy inference based Power stabilization model (FIPSM) is presented in this paper. The model is focused on utilizing residual energy on different circuits and avoiding higher drain of energy on any of the circuit. The model fabricated with MOFSET device in each circuit which monitors the input and output voltage of any circuit. As the model has number of circuits framed in serial connection, the method generates fuzzy rules based on the conditions of different circuits for different input voltage with output voltage required. At each duty cycle, the method reads the input voltage and identifies set of circuits were in sleep or charging mode. With the list of circuits, the method computes the Fuzzy Inference Voltage Stabilization Support (FIVSS) for various circuits. Based on the value of FIVSS, the method identifies a unique or a subset of circuits to support stabilization. The proposed model improves the performance of power stabilization in photovoltaic systems

Effect of Salt Coatings on Low Cycle Fatigue Behavior of Nickel -base Superalloy GTM-SU-718

AbstractNickel-base superalloys are used as components of gas turbines both of jet engines as well as marine engines. Sin e these components are subjected to high temperature and oxidizing environment, their performance is drastically affected by the environmental conditions. Marine environment further aggravates the situation due to presence of salt (NaCl) particles in air. This salt along with sulphur and vanadium present in the fuel oil, leads to formation of compounds like sodium sulfate (Na2SO4) and vanadium pentaoxide (V2O5) during combustion and causes hot corrosion and stress corrosion cracking of engine components. Strain controlled low cycle fatigue tests were conducted on the nickel base superalloy GTM-SU-718 in air, at room temperature on unexposed, exposed at 550°C for 25h, exposed at 650°C for 25h as well as on the specimens coated with layers of NaCl, 25wt.%NaCl+75wt.%Na2SO4 and 90wt.%Na2SO4+5wt.%NaCl+5wt.%V2O5 salt/salt mixtures separately and exposed at elevated temperatures for 25h. While the NaCl coated sample was exposed at 550°C, those coated with other two salt mixtures were exposed at 650°C. It was observed that fatigue life of the NaCl coated sample, exposed at 550°C for 25h was reduced, however, there was little effect on fatigue life of the other specimens referred to above, including even those coated with salt mixtures and exposed at 650°C

Pre-notched and corroded low cycle fatigue behaviour of a nickel based alloy for disc rotor applications

Currently there is doubt surrounding the suitability of chemically-induced stress independent pre-conditioning of specimens to simulate turbine corrosion prior to fatigue testing. the thick oxide scales developed using such techniques can lead to net section loss and typically a lack of grain boundary sulphide attack seen in components that experience stress. An alternative approach to a corrosion-fatigue test scenario is suggested by micro-notching fatigue specimens prior to low salt flux corrosion to form grain boundary sulphide particles within channel-like features akin to stress assisted morphologies. On fatigue testing, a trend was identified where a change of mechanism was observed. The grain boundary oxide likely formed in the wake of freshly precipitated sulphide particles fractures around segments of grains leading to a metal loss that contributes to a significant reduction in fatigue properties

Powered Respirators Are Effective, Sustainable, and Cost-Effective Personal Protective Equipment for SARS-CoV-2

Objectives: The provision of high-quality personal protective equipment (PPE) has been a critical challenge during the COVID-19 pandemic. We evaluated an alternative strategy, mass deployment of a powered air-purifying respirator (PeRSo), in a large university hospital. Methods: We performed prospective user feedback via questionnaires sent to healthcare workers (HCWs) issued PeRSos, economic analysis, and evaluated the real-world impact. Results: Where paired responses were available, PeRSo was preferred over droplet precautions for comfort, patient response, overall experience, and subjective feeling of safety. For all responses, more participants reported the overall experience being rated “Very good” more frequently for PeRSo. The primary limitation identified was impairment of hearing. Economic simulation exercises revealed that the adoption of PeRSo within ICUis associated with net cost savings in the majority of scenarios and savings increased progressively with greater ITU occupancy. In evaluation during the second UK wave, over 3,600 respirators were deployed, all requested by staff, which were associated with a low staff absence relative to most comparator hospitals. Conclusions: Health services should consider a widespread implementation of powered reusable respirators as a safe and sustainable solution for the protection of HCWsas SARS-CoV-2 becomes an endemic viral illness