Prediction of Tensile strength on Hybrid Composite of Basalt Fiber with Titanium Oxide, Barium Sulphate and Silicon Carbide

Abstract: Today a significant growth is observed in the manufacturing of composite materials. Intensively developed polymer composite materials (PCM) are used in different sectors of industry and technology. They are successfully replacing traditional construction materials and also permit the conditions that exclude use of metals. By industrial production of basalt fibers on the basis of new technologies their cost is equal and even less than cost of glass fiber, moreover basalt fibers and materials on their basis have the most preferable parameter, a ratio of quality and the price in comparison with glass & carbon fibers, and other types of fibers. Though Basalt fiber has good wear resistance still increasing the wear resistance, decreasing friction coefficient, and increasing the hardness also gives more applications to basalt fiber like car brakes, interior decorations, car headliner, etc. more over increase in basalt fiber's tensile strength will give more applications to basalt fiber like bridges, underground tunnels, etc. From the results, it can be concluded that adding titanium oxide, silicon carbide and barium sulphate to the fiber matrix shows the increase in the above said properties, thus the above said mixture are added to the basalt fiber. The previous literature survey shows that adding titanium oxide, silicon carbide and barium sulphate to the fiber matrix shows the increase in the above said properties, thus the above said mixture are added to the basalt fiber. The tensile test will be conducted as per the ASTM standards on the Instron machine, the impact testing will be done on the charpy impact testing machine and the hardness testing will be conducted on the Rockwell hardness machine

Archetype Analysis of the Cinematic Representation of Rajinikanth, the Tamil Film Hero

The tropes used by Rajinikanth, the famous Indian Tamil film hero in his films Baasha to Kaala, were analyzed in this research paper. Carl Gustav Jung’s archetypes were used to analyze the heroic representation. The cinematic representation of Rajinikanth in these movies is deliberate and purposeful. He used dual archetypes to attract the attention of the audience. Erel Shallit’s Enemy, Cripple and Beggar: Shadows in the Hero’s Path is used as a model to analyze the archetype adopted by Rajinikanth in his films Baasha to Kaala. He was able to gain political leverage through these depictions.

Optimal placement and sizing of multiple distributed generating units in distribution

Distributed generation (DG) is becoming more important due to the increase in the demands for electrical energy. DG plays a vital role in reducing real power losses, operating cost and enhancing the voltage stability which is the objective function in this problem. This paper proposes a multi-objective technique for optimally determining the location and sizing of multiple distributed generation (DG) units in the distribution network with different load models. The loss sensitivity factor (LSF) determines the optimal placement of DGs. Invasive weed optimization (IWO) is a population based meta-heuristic algorithm based on the behavior of weeds. This algorithm is used to find optimal sizing of the DGs. The proposed method has been tested for different load models on IEEE-33 bus and 69 bus radial distribution systems. This method has been compared with other nature inspired optimization methods. The simulated results illustrate the good applicability and performance of the proposed method

The Reliability and Economic Evaluation Approach for Various Configurations of EV Charging Stations

Electric vehicles (EVs) become more popular as a form of transportation and companies that make useful things are focusing on building charging stations for customers. It is hard to keep charging ports reliable for EVs that are being charged in between, even though charging station companies are building stations according to the distribution system’s requirements. To make the charging station of the distribution system more reliable, the 36-ported design has been proposed with the combination of uniform and non-uniform port arrangement. The configurations have been functioned with 50–350 kW distribution system. The failure rate estimation has been implemented with the standards of the MILHDBK217F book. The probability function of the ports has been evaluated in terms of failure rate and reliability as per the standards of the MILHBK-338B book. As per the failure rate of each port, the evaluation process has been introduced to find the success rate of the charging station. The failure rate of the port arrangement of the proposed 36-ported charging station has been evaluated by using the binomial distribution method. Moreover, the cost estimation process has been implemented for the proposed 36-ported charging system in terms of the failure rate and success rate of the individual port maintenance. By the consideration of individual port failure rate and reliability of the 36-ported configuration, the voltage stability of the distribution station has been evaluated. It is inferred that the lesser failure rate and maintenance cost are achieved with better reliability of port arrangement and voltage stability as well

The Influence of Models Portrayed in Beauty Product Television Advertisements Concerning Body Image among Women in Coimbatore City

Advertising and media play an important role in everyday life and sometimes the message conveyed to women on beauty and body images are skewed. In reality, no one really knows what actual beauty is, so advertisers created an impression by using the elusive models. Portraying unrealistic models in television advertisements resulted in concern about their body image among women. This paper discusses how the beauty product television advertisements portray models with slim body shape and how it influences the women audience. A survey has been conducted in Coimbatore city with a sample of 350 women respondents from different age groups

Tamil Nadu Farmers Protest at Jantar Mantar: News Frame Analysis

In the communication era India continues to be an agrarian society. 60% of the population does agriculture and allied works. In a land of such agriculture importance, news media hesitate to provide reports about agriculture and the agrarian crisis. India is one of the countries which have alarmingly increase number of farmer suicide. According to ‘National Crime record bureau’ nearly 31 lakhs farmers commit suicide over the past 20years. ‘Census of India’ statistics states that farmer’s population declines rapidly at the rate of 70 lakhs per year. Climate change, change in the government policy and many other factors play an important role in pushing the farmers to a pathetic plight. In this scenario the role of media is very important in educating the farmers about the latest development in the agriculture parlance and also informing the common public about the plight of the agrarians. Hence it is necessary to study the role of news papers in informing the public about the news related to agriculture which is the live wire of the Indian society. This research paper tries to analyze the framing technique adopted by the newspaper The Hindu (Tamil and English) in reporting the news about Tamilnadu farmers’s protest at Jantar Mantar, Delhi. The study applies Entman’s “Frame analysis” method to analyse the news about the“farmers protest at Jantar Mantar”.  The news papers taken for analysis are “The Hindu” Tamil and “The Hindu” English, because both the newspapers are from the same house of publication but applies different news framing in reporting the news about “farmers protest at Jantar Mantar”

INVASIVE WEED OPTIMIZATION FOR ECONOMIC DISPATCH WITH VALVE POINT EFFECTS

This paper proposes a novel optimization methodology aimed at solving economic dispatch (ED) problem considering valve point effects using invasive weed optimization (IWO) algorithm. IWO was recently proposed as a simple but powerful metaheuristic algorithm for real parameter optimization. IWO draws inspiration from the ecological process of weeds colonization and distribution and is capable of solving general multi-dimensional, linear and nonlinear optimization problems with appreciable efficiency. The proposed method has been applied to three test systems comprising 3, 13 and 40 units. These test systems are also solved using the catfish particle swarm optimisation (Catfish PSO) algorithm - an improved version of PSO - for the comparison and validation of the solutions. The obtained best values have been compared with different methods in literature and the results of them have been discussed. The result obtained proves that the IWO algorithm is efficient and can be used practically for solving economic dispatch problem. A comparative analysis with other settled nature-inspired solution algorithms demonstrates the superior performance of the proposed methodology in terms of both solution accuracy and convergence performances

Automatic Fault Classification for Journal Bearings Using ANN and DNN

Journal bearings are the most common type of bearings in which a shaft freely rotates in a metallic sleeve. They find a lot of applications in industry, especially where extremely high loads are involved. Proper analysis of the various bearing faults and predicting the modes of failure beforehand are Essentials to increase the working life of the bearing. In the current study, the vibration data of a journal Bering in the healthy condition and in five different fault conditions are collected. A feature extraction metod is employed to classify the different fault conditions. Automatic fault classification is performed using artificial neural networks (ANN). As the probability of a correct prediction goes down for a higher number of faults in ANN, the method is made more robust by incorporating deep neural networks (DNN) with the help of autoencoders. Training was done using the scaled conjugate gradient algorithm and the performance was calculated by the cross entropy method. Due to the increased number of hidden layers in DNN, it is possible to achieve a high efficiency of 100% with the feature extraction method