bluuebunny/crossref_metadata_2025 huggingface dataset:
Design and Analysis of Controller with Selective Harmonic Compensator for Grid Connected PV System
Authors: Vasu M. , Lenine D. , Surya Kumari J. , Suresh Kumar T.
Published: October 2021

Harmonics produced by distributed power generation systems (DPGS) is a main power quality issue, particularly due to the number of these systems connected to the grid is always increasing. This means that, it is significant to control the harmonics caused by these inverters to limit their contrary effects on the grid power quality. This paper has proposed a new proportional current controller (P Resonant Current Controller) with selective harmonic compensator for grid connected photovoltaic (PV) systems. The proportional resonant current controller (PRCC) can have a significant effect on the quality of the current supplied to the grid by the PV inverter, and hence it is essential that the controller provides a high-quality sinusoidal output with negligible distortion to avoid generating harmonics. The effectiveness of the proposed framework has been verified using simulation results in MATLAB/Simulink.
Optimization Study on Turning Process by Using Taguchi-copras Method
Authors: Trung Do Duc , Quang Nguyen Huu , Hoang Tran Quoc , Anh Cao The , Hong Linh Nguyen , Trung Kien Hoang , Thi Tam Do , Anh Tuan Nguyen
Published: October 2021

In this article, a multi-objective optimization of turning process study is presented. Two output parameters of the turning process taken into consideration are surface roughness and Material Removal Rate (MRR). Taguchi method has been applied to design the experimental matrix with four input parameters including nose radius, cutting velocity, feed rate and cutting depth. Copras method has been employed to solve the multi-objective optimization problem. Finally, the optimal values of the input parameters have been determined to simultaneously ensure the two criteria of the minimum surface roughness and the maximum MRR.
Optimization of Milling Process by Taguchi-PSI Method
Authors: Anh He Le Hoang , Tuan Trinh Kieu , Quang Nguyen Huu , Luan Nguyen Huu , Truong Tran Minh , Dung Nguyen Thi Quoc
Published: October 2021

060A4 steel (Chinese standard) is a steel with good machinability, which is very popularly used in mechanical engineering. Therefore, the study of solutions for improvement of quality and productivity when machining this steel type has great technical and economic significance. In this study, the multi-objective optimization process has been performed when milling this steel type on a vertical milling machine. The cutting tool is a face milling cutter made of High Speed Steel (HSS) material. The effect of spindle speed, feed rate, and cutting depth on surface roughness has been found. The combination of the Taguchi method and PSI method has been applied to determine the optimal value of three input parameters to simultaneously ensure the two criteria of the minimum surface roughness and the maximum Material Removal Rate (MRR). The works which will be done by the authors of this article in the near future has also been presented in the last part of this study.
Outlier Detection for IoT devices in Indoor Situating Framework using Machine Learning Techniques and Comparison
Authors: Vidya M. Sri , Sakthidharan G. R.
Published: October 2021

Internet of Things connects various physical objects and form a network to do the services for sensing the physical things without any human intervention. They compute the data, retrieve the data by the network connections made through IoT device components such as Sensors, Protocols, Address, etc., The Global Positioning System (GPS) is used for localization in outer areas such as roads, and ground but cannot be used for Indoor environment. So, while using Indoor Environment, finding or locating an object is not possible by GPS. Therefore by using IoT devices such as Wi-Fi routers in Indoor Environment can localize the objects. It can be done by using Received Signal Strengths (RSSs) from a Wi-Fi router. But by using RSSs in Wi-Fi, there are disturbances, reflections, interferences are caused. By using Outlier detection techniques for localization can identify the objects clearly without any interruptions, noises, and irregular signal strengths. This paper produces research about Indoor Situating Environment and various techniques already used for localization and form the effective solution. The several methods used are compared and form a result to make the further computation in the Indoor Environment. The Comparison is done in order to find the effective and more accurate Machine Learning algorithms used for Indoor Localization.
Investigation of Mechanical Properties on Fibre Reinforced Polymer Nanocomposites Using ABAQUS
Authors: Padma Rao A. , Murali Krishna V. , Venu Ganji
Published: October 2021

The main aim of this work is to explore the Nanocomposites for industrial and engineering applications. Nanocomposites or nanofillers are bringing exemplary changes in the field of material science and polymer composites. In this complicated process a minor part of material is added to a variety of polymers and other materials which can improve the performance and quality of materials including mechanical, thermal, flexural stiffness, tensile strength, toughness, water absorption, flame retardancy and scratch resistance etc. This paper is concerned with investigation of the mechanical properties on composite material made of E-Glass fibre and LY556 epoxy with induced nanoparticles under tensile load. The tensile tests carried out on different composite samples as per the ASTM standard.
Survey Analysis of Solar Power Generation Forecasting
Authors: Erlapally Deekshitha , Anuradha K. , Karuna G. , Srilakshmi V. , Adilakshmi K.
Published: October 2021

Solar power is the conversion of sunlight into electricity using solar photovoltaic cells as a source of energy. There are various applications for solar power; here is information on PV cell generation. We seek to understand the behavior of solar power plants through the data generated by the photovoltaic modules and the power generation in different weather conditions in India. The goal of this survey is to give a thorough assessment and study of machine learning, deep learning and artificial intelligence. Artificial intelligence (AI) models as well as information preprocessing techniques, parameter selection algorithms and predictive performance evaluations are used in machine learning and deep learning models for predicting renewable energies. But in case of time series data we can predict only the errors using a linear regression model, we can also calculate things like root mean square error (RMSE), mean absolute error (MSE), mean bias error (MBE) and mean absolute percentage error (MAPE). By the analysis of weather condition also we can predict the consumption of current by solar for every 15 minutes, 1day, and 1week or even for 1 month and find the accuracy.
Performance Evaluation of MQL with Graphene Mixed Nano Fluids prepared at different Concentrations in Turning of Pure Titanium (TI6Al4V) Alloy
Authors: Suresh S. , Sateesh N. , Ramsubbiah  , Nookaraju B. Ch , Sivanagaraju D. , Lakshmi A. Anitha
Published: October 2021

This paper presents an investigation into the minimum quantity lubrication mode with Nano fluid during turning of titanium (TI6AL4V) alloy. In heavy cutting conditions, minimum quantity lubrication (MQL) has been observed, that, Nano-cutting fluids which have enrich thermal conductivity than base fluid, are begun to be used in MQL system. The addition of the required nano particle ratio to the base liquid is one of the most important issues that arise in this method. Therefore, this study aimed to find the optimum distribution rate of graphene nano particles having excellent properties and machining parameters. To do this, graphene nano particles were added to a vegetable-based cutting solution. Nano-cutting fluids were prepared in different volumetric concentrations. When turning of titanium (TI6AL4V) alloy, these Nano fluids were used in the MQL system. Three different parameters were added to the experimental design to study the performance of Nano fluids under several cutting conditions. i.e., speed, feed rate and depth off cut. Apart from this experimental design, three tests were carried out at each concentration ratio while keeping the machining parameters constant to clearly see the impact of concentration rates on surface roughness, flank wear. And crater wear. In addition, while chipping/fracture, were observed under all cutting conditions
Stress-Strain behaviour of plain and fibre reinforced SCC mixes
Authors: Prashanth U , Shrihari S , Siva Prasad Raju V , Srinivasa Reddy V
Published: October 2021

The goal of this research is to better understand the stress-strain behaviour of plain and fibre reinforced M30 grade plain SCC mixtures. The experimental stress strain relationship of SCC revealed that all changes had a minor effect on the stress strain curve's first section. The stress-strain behaviour of M30 FRSCC mixtures has improved with the addition of fibres, resulting in lower stress values for the same stresses. At peak loads, all fibre reinforced SCC mixes, notably SFRSCC and HFRSCC mixes, showed an increase in strain values. Steel and hybrid fibres enhanced the post-peak stress-strain behaviour of SCC mixes compared to glass fibered SCC mixes. M30 grades’ modulus of elasticity When compared to other FRSCC mixes, HFRSCC mixes created with optimal combinations of PF and s/a ratios have high values. By dispersing deformation energy through fibres, HFRSCC mixtures have a better capacity to prevent fracture growth. HFRSCC mixtures with high toughness moduli have better shock resistance. Because of the dense and compact microstructure, the modulus of elasticity (E) of HFRSCC mixes shows improved performance.
Moment - curvature behavior of basalt fibred concrete beams made with basalt fibre reinforced polymer bars
Authors: Saikrishna V , Srinivasa Reddy V , Seshagiri Rao M V , Shrihari S
Published: October 2021

In the current study the moment - curvature behavior of basalt fibred concrete beams made with basalt fibre reinforced polymer bars and normal beams with steel rebars are evaluated. Basalt fibred reinforced concrete beams of M30 grade were casted with steel and BFRP rebars separately to study the flexural properties of basalt fibre and BFRP bars. From the load –deflection plots, flexural characteristics such as load at first crack, ultimate flexural strength, deflection at the centre and crack width at failure are evaluated. Deflections were measured at the central point and under the load using the deflection meters. The values of moments and curvatures are obtained. Moment curvature relationships are very important to assess out ductility of the structure and the amount of possible redistribution of stresses. The deformations measured are divided by the gauge length (200mm) to obtain the strains at the particular level. From the top and bottom strains, the average curvatures were calculated. From these results, M-Ф diagrams are plotted.
Effect of Aqueous Soluted Nitriding Process on AISI 304 Austenitic Stainless Steel under Dry Sliding Conditions
Authors: Mamatha Gandhi M. , Saranya J. , Keerthi Reddy G. , Srikanth S. , Keshav Ch. , Niranjan M. , Someshwar Rao S. , Subbiah Ram
Published: October 2021

AISI 304 stainless steel categorized under austenitic, has good resistance to corrosion and applicable for high resistance to pitting and stresses. But it has poor hardness, sterngth and resistance to wear. In order to overcome the above problem, various hardening techniques like nitriding, carburizing, carbonitriding, Cyaniding etc are preferred. In this work, aqueous soluted nitriding process is carried out to improve the surface hardness and wear resistance on AISI 304 specimens. Three specimens in cylindrical shape with a diameter of 10mm and length 35mm are treated with salt bath nitriding process for a time period of 45 minutes, 90 minutes, 120 minutes and named as SBN 1, SBN 2, SBN 3 respectively. One specimen is kept untreated to compare the results with treated specimens. After the heat treatment procedure is completed, pin on disc wear testing instrument was used to conduct a wear test at a constant speed and load. All the specimens were subjected to Scanning Electron Microscope test and the results were compared.
Integrated buck and boost converter for a universal battery charger of an Electric Vehicle
Authors: Kondreddy Sreekanth Reddy , Sreenivasappa B. Veeranna
Published: October 2021

A two-stage converter connects the input grid voltage to a pack of batteries with the voltage varying between 48-400 V, depending on the size and the range of the vehicle, with battery-operated electric and Plug-in Hybrid Electric Vehicles (PHEVs). This article offers a unique built-in converter that can interface with both high voltage (HV) and low voltage (LV) batteries. For all car architectures a universal charger that can accommodate this wide range of battery pack voltages is suitable. The novel integrated buck and boost converter (IBBC) is the proposed converter supplied using AC-DC driver at the front end mode. The main objective of this paper is to show a universal battery charger for an EV with a high power factor (PFC) and a small total harmonic distortion (THD) in addition to the high power density. A PFC converter is formed without any auxiliary circuit to balance the output voltage dependence of the battery against fluctuations in the ac grid input voltage, which in turn reduces the cost of additional circuit. A closed loop controller scheme is used to adjust for variations in the broad range output voltage and load. The proposed topology’s detailed operation is simulated using the MATLAB/Simulink software and achieved a THD of 1.18%.
Weldability of duplex stainless steels- A review
Authors: Ramesh Aditya , Kumar Vishal , Anuj  , Khanna Pradeep
Published: October 2021

Duplex stainless steel finds widespread use in various sectors of manufacturing and related fields. It has many advantages due to its distinctive structural combination of austenite and ferrite grains. It is the need of the current generation due to its better corrosive resistance over high production austenitic stainless steels. This paper reviews the weldability of duplex stainless steels, mentions the reason behind the need for duplex stainless steels and describes how it came into existence. The transformations in the heat-affected zones during the welding of duplex stainless steels have also been covered in this paper. The formation, microstructure and changes in high temperature and low temperature heat-affected zones have been reviewed in extensive detail. The effects of cooling rate on austenite formation has been briefly discussed. A comparison of weldability between austenitic and duplex stainless steel is also given. Finally, the paper reviews the applications of the various grades of duplex stainless steel in a variety of industries like chemical, paper and power generation and discusses the future scope of duplex stainless steel in various industrial sectors.
Effects of Heat Treatment on the Impact and Hardness Properties of Mild Steel [ASTM 36] Lap Welded Joint
Authors: Ikumapayi O. M. , Akinlabi E. T. , Anyoha V. O. , Uchegbu I. D. , Rominiyi O. L. , Benjamin H.A. , Akinlabi S. A.
Published: October 2021

ASTM A36 is the most used type of mild steel especially in construction and manufacturing industry. Welding process is regularly employed to fix the crack that usually occurs in low carbon mild steel after a long time use especially in construction industry. In this study, the effects of heat treatment on the mechanical properties on mild steel [ASTM A36] lap welded joint were investigated. Seven pieces of 60 mm × 300 mm mild steel bar were used for this research. Five samples were heat treated in an electric muffle furnace and soaked at 6000C for 65 minutes. Two samples were cooled in air and furnace while the remaining three were rapidly quenched in water, spent engine oil and diesel oil each.Hardness and Impact tests specimens were made from the control (as received) sample and the various heat-treated samples. The specimens were joined together using E6361 mild steel arch welding electrode, lap welding joints and Shielded Metal Arc Welding (SMAW). Hardness test and impact test are used to delineate the mechanical properties for heat treated welded specimens and control specimens. It was established from the research work that Brinel Hardness Number (BHN of ASTM A36 lap welded joint cooled/quenched in different media increased it significantly in the Heat affected Zone (HZ) in all the quenching media. There is also a substantial increase in both Impact Energy (IE) and Impact Strength (IS) of heat-treated ASTM A36 lap welded joint when cool/quenched in the air, furnace, water and spent engine oil.
New Directions in Traffic Control Analysis through Video Surveillance
Authors: Lalitha R. V. S. , Jalligampala Divya Lalita Sri , Kavitha Kayiram , Vahida Shaik , Rajasekhar Goli
Published: October 2021

Traffic management is an increasing problem in both cities and sub urban areas. Authority people involved in traffic management system spend much of time in controlling traffic at junctions. With the advances in technology, monitoring traffic through image processing and video surveillance techniques became the researchers’ attention. These techniques help us in controlling traffic as well as to identification of kamikaze drivers and speed violators. The key focus of this research is to do traffic analysis using video surveillance to detect speedy drivers. A wide range of traffic parameters such as flow of traffic, speed of vehicles and vehicle registration number are the major components involved in this research. In this paper, traffic analysis is carried out based on streaming video data with YOLO tool. In this paper an eco system is developed for object detection, vehicle number detection and the speed of the vehicle using computer vision algorithms. With the application tool developed, traffic control authority people can warn the speedy drivers on the fly.
Mathematical model for predicting stress-strain behavior of low calcium fly-ash based geopolymer concrete
Authors: Sai Ketana Nutakki , Srinivasa Reddy V , Seshagiri Rao M V , Shrihari S
Published: October 2021

The focus of the study was to identify the stress strain behavior of geo polymer concrete and salient parameters that influence the mixture proportions and the properties of low calcium fly ash- based geo polymers concrete. To develop geopolymer concrete the chemical proportions are alkaline liquid solution/fly-ash ratio=0.5, Sodium silicate/sodium hydroxide ratio=2.5,16M NaOH and SiO2/Na2O ratio=2.0. The geopolymer concrete mixes have shown improved stress values for the same strain levels compared to that of controlled concrete mix. Normalized stress strain curves are used to compare the behaviours of geopolymer concrete. It can be observed that geopolymer concrete has improved strains for the same stress when compared to conventional concrete. Geopolymer concrete mixes have shown improved stress values for the same strain levels compared to that of controlled concrete mixes.
Effect of Sugarcane Bagasse Fiber on Geopolymer Concrete when it is Subjected to Alternative Drying and Wetting
Authors: Srinivas T. , Anudeep Pogula , Ramana Rao N. V.
Published: October 2021

Various types of fibers like glass, steel, coconut fiber, sugarcane bagasse fiber, etc are used to increase the mechanical properties of the concrete. SCBF is the final residue of the sugar industries which is used in this study. The objective of the paper is to study the effect of SCBF in geopolymer concrete (GPC) and conventional concrete (CC) of equivalent grade of M40 when it is subjected to alternative drying and wetting. The specimens are treated with water by alternative wetting and drying process. This test consists of periodic cycles, each cycle consists of one wetting day and drying day. The specimens are tested for the compressive strengths after 7, 14 and 28 cycles. The compressive strength of the CCF and GPCF are higher than the CC and GPC respectively and the optimum compressive strengths are obtained at 0.5% of fiber dosage. The % loss of compressive strength and % loss of weights of CCF and GPCF are calculated and compared with the CC and GPC. From the results obtained, the strength loss and the weight loss in the CCF and GPCF are less when compared to the CC and GPC when treated in alternative wetting and drying process.
Effect of Sugarcane Bagasse Fibre on the Behavior of Geopolymer Concrete under Sulphate Attack
Authors: Srinivas T. , Arun Thandra , Ramana Rao N.V.
Published: October 2021

The use of various fibres such as steel, glass, sugarcane bagasse, and others has a considerable impact on the fresh and hardened properties of concrete. Sugarcane bagasse fibre is a byproduct from the sugarcane industry that can be reused as a concrete fibre. This paper objective is to work on the behaviour of sugarcane bagasse fibre on low calcium fly ash and slag based geopolymer concrete of G40 which is equivalent to M40 grade, when it is exposed to 5% sulphate attack with the help of experiments. The specimens were casted, GPC and GPCF Cured in an oven at 60 ° C for 24 hours, then let to cure in the atmosphere until the test is complete. After 28 days, the specimens were immersed in sulphates such as Na2SO4 and MgSO4 for 15, 45, and 75 days, and then tested according to codal standards on 15, 45, and 75 days. The comparisons were made in a controlled concrete environment (CC), controlled concrete with sugarcane bagasse fibre (CCF), geopolymer concrete (GPC) and geopolymer concrete with sugarcane bagasse fibre (GPCF). From the results it is observed that CCF and GPCF showed more resistant than CC and GPC when it is subjected to sulphate attack.
Studies on manufactured sand effect on mechanical properties of geopolymer concrete as replacement of river sand in fine aggregate
Authors: Veera Babu K. , Srinivas T. , Tummala Mahathi
Published: October 2021

Concrete is the most adaptable, long-lasting, and dependable construction material on the planet. There are numerous environmental concerns associated with the production of OPC, and natural sand is becoming more expensive and scarce as a result of unlawful river sand dredging. The greatest replacement material for traditional concrete is geopolymer concrete with low calcium fly ash. The purpose of this paper is to investigate the mechanical properties of geopolymer concrete of grades G30 and G50, which are equivalent to M30 and M50, when river sand is substituted in various quantities with manufactured sand, such as 0%, 10%, 20%, 30%, 40%, 50%, 60%, 70%, 80%, 90%, and 100%. When compared to the equivalent grades of controlled concrete, geopolymer concrete improves mechanical properties such as compressive, tensile, and flexural strengths.
Deep convolutional neural network based facial expression identification using face-parsing method
Authors: Mothukupally Raju Yadav , Reddy P Chandra Sekhar
Published: October 2021

Face parsing methodology may be a one amongst the advancements in pc vision that analyses the surface synthesis of the external body part, to amass bits of information on options needs correct pixel segmentation of various components of face like (mouth, nose, eyes etc.). Same means the analysis on feeling recognition plays a eventful role in communication and interactions of humanity and additionally relevant to psychological activities. Considering the disadvantage that totally different completely different components of face contain different quantity of knowledge for face expression and also the weighted perform are not an equivalent for various faces. In keeping with analysis, the image classification task ordinarily drives North American country to the notable Convolutional Neural Network (CNN) during which we tend to ar victimization VGG19 model. beyond exploring around however CNN, sometimes performs for greyscale photos, we tend to selected to start from 3 consecutive convolutional layers followed by a most pooling layer, basic exploit work for convolutional layer and “relu” is used, even as an analogous artefact pattern. The highlights to be known victimization the convolutional layer distended to 128 layers from thirty-two, it is suggestable that multi-layered structure (with increasing layers) that performs and results the most effective outcomes for the DNN model. At last, the CNN layer is 1st smoothened and afterwards expertise 2 many dense layers to reach the yield layer during which SoftMax activation perform is used for multiclass classification. We tend to victimization Cohn-Kanadre face expression dataset of seven expressions like contempt, anger, disgust, happiness, fear, disappointment and surprise.
Simulation of solar PV system by FLC based bidirectional DC-DC converter for DC loads
Authors: Jalluri Srinivasa Rao , Veligatla Ramesh Babu , Mahamkali Ranjit , Gogireddy Purushothama Raghavendra Reddy
Published: October 2021

Solar energy is among the abundant forms of energy, it is very important to make the best use of it. But intermittent nature of solar energy makes PV generation unreliable at times. The use of a battery as an energy storage device can help to mitigate this problem to some extent. A Bidirectional DC-DC converter must be used to connect the battery to the DC link in order to maintain a steady voltage. DC link then connected to a load. In this paper, P&O MPPT technique used to get maximum power from PV array. Fuzzy logic control is used for the effective control of Bidirectional DC-DC converter to charge and discharge battery to keep the DC link voltage constant. Simulations are carried out using MATLAB and outcomes are analysed.
City Cleanliness Drive Web Portal Using Region Based Convolutional Neural Networks
Authors: Akila V , Glory Kasi , Varma Pinnamaraju Sanjana , Hemanjili Puchakayala Lakshmi , Lohitha Tutari Vijaya , Sheela T.
Published: October 2021

Identification or detection of object played an important role in Computer Vision, in implementations like city construction process Managers had often wasted lot of their energy, time and resources in cleaning up the garbage, which was unexpectedly showed up. When deep network systems increased its complexity, the systems are constrained by the training data availability. Due to this, Open CV, Google AI released the Open images dataset publicly, so that the research and development would happen in study and analysis of images. As a result, virtual street cleanliness been at most important in this project, however the existing system has disadvantages like collection of garbage is not automated. It doesn’t use the best real time algorithm for identifying the objects. This project will embed the above said things in the system, making the work of managers to keep the city/construction site clean very simple and effective.
Smart Parking for Smart Cities using IoT
Authors: Ratakonda Bhavani , Avvari Pavithra , Rajarao B. , Sreevani Voruganti , Ganapathi Raju N V
Published: October 2021

The idea of smart cities has gained immense popularity in real-time, Internet of Things (IoT) is not just about connecting people and about connecting things. Billions of devices will connect to the internet through sensors they talk to each other. Searching for parking is a routine activity for many peoples in the city around the world. There are many solutions some of the existing solutions are inductive loops, image processing at shopping malls, universities, airports, also, the thought behinds advancement of IoT. With this IoT there is numerous wide scope of utilizations in our day by day life, not many of them are keen urban communities, smart waste administration, smart health, brilliant security, and smart industry applications. This paper provides a novel solution for the people to minimize the waiting time and maximize productivity and help to find the space where the vehicles can be left to decrease the traffic in the leaving region. Internet of Things and distributed computing are two unique parts of innovations. IoT is an arrangement of interrelated gadgets and things with unique identifiers associated with the web can speak with one another. The cloud gives everything as administration i. e. pays for what we use. The obstacle sensor senses the obstacle status when the car is being parked in the parking area and status is sent to the cloud. Utilizing the IoT framework it gives the accessible free stopping spaces, Entry and exit likewise gives payment process through RFID card to diminish the bottleneck of the payment procedure and approve at the passage/leave the entrance of the shopping area.
Studies on the acid attack resistance of sugarcane bagasse fibre geopolymer concrete
Authors: Arun Thandra , Srinivas T. , Ramana Rao N.V
Published: October 2021

It is necessary to reduce the effect of carbon dioxide, as failure to do so will result in global warming. In this instance, researchers have begun looking for sustainable building materials. Industrial byproducts like flyash, GGBS, silica (SiO2) are used to make geopolymer concrete. To produce binders alkali liquids can be used to react with aluminate, silica and with flyash, alkali activated concrete is made by mixing binders with coarse and fine particles and forming a mixture.. In addition to this concrete sugarcane bagasse fibres is added to improve the properties of concrete. The main objective of this paper is to study the durability properties in terms of like acid attack resistance on sugarcane bagasse fibre reinforced geopolymer concrete (GPCF) of G40 equivalent M40 when it is exposed to 5% acids attack with the help of experiments. The test specimens were casted and then cured in an oven at 60°C for 24 hours after one day rest period. The test specimens were kept at room temperature for the remainder of the time. After 28 days, the specimens were immersed in acids such as HCL and H2SO4 for 15, 45, and 75 days before being tested according to codal procedures on the 15th, 45th, and 75th days, and the results were compared to controlled concrete (CC), sugarcane bagasse fibre reinforced controlled concrete (CCF), and geopolymer concrete (GPC)). From the results it is observed that CCF and GPCF showed more resistant than CC and GPC when it is subjected to acids attack.
Isolating system using U Shaped steel damper
Authors: Vamshisheela Siripuram , Manchalwar Atulkumar
Published: October 2021

In this work the performance of U-Shaped Steel Isolator is evaluated for a 5-story building subjected to seismic and blast vibrations. The structure is analysed using SAP 2000 software and a nonlinear time history analysis is carried out. The effectiveness of using base isolation is studied by comparing the structural responses of the building with isolator and without isolator and noticeable difference was observed. As the U-Shaped isolator absorbs the energy in all directions, it effectively controls the structural responses. In this study, the building is subjected to four different seismic and four different blast induced ground motions. It was observed that by the use of supplementary energy device there is reduction in top story acceleration, base shear and less deformation in the structure. This study concludes that the use of isolator has been effective in minimizing structural responses.
Study of Mechanical Properties and Microstructural behaviour of alpha- beta brass at elevated temperature
Authors: Challa Bandhavi , Srinivasa Rao Seeram
Published: October 2021

Deformation behaviour of metal can be analyzed by determining mechanical properties for optimizing workability. In the present investigation hot uniaxial tensile test for alpha - beta brass material have been performed by considering parameters like temperature (RT, 6000C and 7000C), strain rate (0.1/s, 0.01/s and 0.001/s) and orientation (RD, ND and TD). The various material properties such as ultimate tensile strength (σu), yield stress (σy), total elongation(%) have been evaluated over the range of temperatures, strain rates and orientation. It have been observed that changes in material properties with respect to temperature, strain rate than orientation. The material properties has been analyse the mechanical characteristics of the material. The fractured specimens at various temperatures are studied and analyzed the failure modes in the material using Scanning Electron Microscope (SEM). SEM study confirms carbides and shear band which indicate predominantly ductile fracture in all the cases.
Addiction of drugs like Cocaine and Opium - A Review
Authors: Bidhan Sonia , Pathania Anu Radha
Published: October 2021

Cocaine is an addictive drug. Thousands of years ago it made by South America from leaves of coca plant. It is also known as a coke. It appears as a fine white crystalline powder. Surgeons used it to block pain, before the development of synthetic local aesthetic. There is no pharmacological treatment for that addiction. It impact on a genetic factor and brain. It also consists as a brain disease, which effects directly on a neuropath ways of brain and it modified the various enviourment factors like; epigenetic, hinges, mentality, social influences, etc. its addiction can developed quickly even after trying a few times. These drugs quickly affected health like; psychological effects, physical effects and mentally effects or any other diseases. All stimulants function as an extracellular concentration of dopamine, norpinephirine and serotonin which can induce symptoms such; paranoia, panic, hallucination, aggression, irritability, anxiety, depression, poor judgement, repeated or aberrant behaviour. Some physical effects of this medication are harmful weight loss; raise heart rate, nausea, abdomen pain, headaches, chest discomfort, heart arrhythmia, heart attack, seizure, stroke and many more such ailments. These drugs can block the transport of these neurotransmitters.
Thermal Analysis and Impart of Temperature Distribution on the Performance of Additive Manufactured Titanium Alloy Based Composite Coatings
Authors: Fatoba O.S. , Akinlabi S.A. , Mekonen E.A. , Tadesse B.A. , Akinlabi E.T.
Published: October 2021

Finite element numerical analysis can be used to solve problems of boundary values. The accuracy of model is depended on the meshing refinement. In aerospace industry, finite element analysis has been used by several researchers to know the influence of temperature distribution on the performance of additive manufactured component parts. Accuracy is better with finer mesh. Complex nature of the additive manufacturing process due to rapid heating and cooling made many researchers to adopt numerical investigation which is made easier than the experimental method. Proper modelling of the process must be thoroughly done for the numerical modelling results to be analyzed. The experiment of ternary titanium alloy of Ti-Al-Si-Cu was carried out with cladding machine of 3000 Watts (CW) Ytterbium Laser System (YLS-2000-TR). This machine is situated at the National Laser Centre in the Council of Scientific and Industrial Research (NLC-CSIR). The characterization was done using the standardization ASTM E3-11 procedure. The results shiw the impart of temperature distribution on the dendritic arm spacing in the microstructures. The rate of cooling imparts on the space between the dendritic arms. The more the space, the more the influence on the coating’s properties
Determination of mechanical properties of okra, sisal fibre and polyester based hybrid composite
Authors: Arun Kumar T. , Sunil B. , Srividya K. , AbdulKalam Sd. , Mohan Sumanth Ch.
Published: October 2021

The natural fibre reinforced composites have the advantage of being light weight, renewable, cheap and eco–friendly when compared to the synthetic fibres. So, there is a need to investigate potentiality of natural fibre which can be used in highly demanding situations. An attempt has been made in the present work to explore the possible uses of variety of cultivated and wild grown fibres in nature that aids in the development of new composites for load carrying structures. The present research work has been carried out to make use of okra /sisal natural fibres. The aim of this paper is to describe the experimental development and characterization of new set of hybrid natural fibre composites which is made by reinforcing okra /sisal fibres with polyester resin in matrix by using hand layup method. The natural fibres were extracted by retting and combing process manually. The hybrid composites were prepared using okra/sisal fibres of 30/70, 50/50, 70/30 fibre weight ratios, when subjected to varying weights of fibres (0. 4, 0. 8, 1. 2, 1. 6, 2) grams. The tensileand impact properties were carried out using hybrid composite specimens.
Polymer composite developed from discarded carpet for light weight structural applications: Development and Mechanical analysis
Authors: Kumar Verma Rajesh , Jaiswal Balram , Vishwakarma Rahul , Kumar Kuldeep , kumar Kaushlendra
Published: October 2021

Carpets are the three-dimensional product used as a floor covering in homes, offices, commercial centers, decorative purposes, etc. The average life span of the carpet is four to seven years and after that, it becomes solid waste. The discarded carpets are causing a significant hazardous effect on the environment, climate, soil, and various health issues. To overcome the increasing carpet waste, the re-utilization of carpet is essentially desired. This article focuses on the development of polymer composites developed from discarded nylon carpets for lightweight applications. A modified technique of Vacuum-assisted resin transfer molding (VARTM) was used to fabricate epoxy composites. The tensile and flexural tests evaluated the mechanical performance of the proposed composite. The modified composite is manufactured in two different configurations, namely, face- back-to-back-face (FBBF) and back- face to face- back (BFFB) with the help of the VARTM setup. The result demonstrated that the fabricated BFFB composite has a higher strength. The high-resolution microscopy test of the developed samples shows the feasibility of the composites produced from discarded carpet for lightweight functions. An attempt has been made to resue the waste for the fabrication of cost-effective products.
Design and Optimization of 200 Ton H- Type Hydraulic Press
Authors: Rani G. Jamuna , Gangadhara Rao. P , Srinivasa Rao Konuru , Teja M. Ravi
Published: October 2021

A hydraulic press is a machine using a hydraulic cylinder to generate a compressive force. The hydraulic press works on Pascal’s principle, which states that the pressure throughout a closed system is constant. Hydraulic presses are commonly used for forging, clinching, moulding, blanking, punching, deep drawings and metal forming operations.200-ton capacity hydraulic frame and cylinder are modelled using Solidworks and analysed by solidworks simulation using finite element analysis. The objective of the project is to optimize the total mass and cost of hydraulic press while assuring adequate stiffness by using honeycomb structure on ram. Honey comb structures allows the minimization of material used to reach minimal weight and minimal material cost by providing high strength without compromising the output quality.
Analysis Of Solar Power Generation Forecasting Using Machine Learning Techniques
Authors: Anuradha K. , Erlapally Deekshitha , Karuna G. , Srilakshmi V. , Adilakshmi K.
Published: October 2021

Solar power is generated using photovoltaic (PV) systems all over the world. Because the output power of PV systems is alternating and highly dependent on environmental circumstances, solar power sources are unpredictable in nature. Irradiance, humidity, PV surface temperature, and wind speed are only a few of these variables. Because of the unpredictability in photovoltaic generating, it’s crucial to plan ahead for solar power generation as in solar power forecasting is required for electric grid. Solar power generation is weather-dependent and unpredictable, this forecast is complex and difficult. The impacts of various environmental conditions on the output of a PV system are discussed. Machine Learning (ML) algorithms have shown great results in time series forecasting and so can be used to anticipate power with weather conditions as model inputs. The use of multiple machine learning, Deep learning and artificial neural network techniques to perform solar power forecasting. Here in this regression models from machine learning techniques like support vector machine regressor, random forest regressor and linear regression model from which random forest regressor beaten the other two regression models with vast accuracy.
Optimization of Dressing Parameters for Minimum Surface Roughness and Maximum Material Removal Rate in Internal Grinding of SKD11 Tool Steel
Authors: Tuan Nguyen Anh , Vinh Do The , Lam Pham Duc , Anh Le Hoang , Tuan Trinh Kieu , Huy Vu Manh , Giang Tran Ngoc , Hung Le Xuan
Published: October 2021

This paper introduces a study on multi-objective optimization of dressing parameters in internal grinding of SKD 11 tool steel using Grey based Taguchi method. The L27 orthogonal array of the Taguchi method was selected to design the experiments. The input parameters of the dressing process are the depth of fine, the time of fine dressing, the depth of coarse dressing, the time of coarse dressing, non-feeding dressing, and dressing feed rate. The output factors are surface roughness (SR) and material removal rate (MRR). A grey relation grade was determined by using the signal-to-noise ratio. The ANOVA was applied to find out the effect of input factors on the grey relation grade. In conclusion, the fine dressing times is the parameter that has the strongest impact on multiple performance characteristics, followed by the coarse dressing times. Also, the optimum dressing parameters to get minimum SR and maximum MRR is the depth of coarse dressing of 0.03mm, the time of coarse dressing of 2 times, the depth of fine dressing of 0.01 mm, the time of fine dressing of 2 times, non-feeding dressing of 2 times, and dressing feed rate of 1.2mm/min.
Enhancement of Power Quality in a Grid Integrated WECS with Shunt Voltage Controller
Authors: Veeresham K. , Abhinandh Lade , Neelakanteshwarrao B.
Published: October 2021

This paper deals with study of wind energy conversion system when it is interconnected with the grid. Main objective of the paper is to improve the quality of the power when wind energy system is linked with the non-linear loads. In this work DSTATCOM (FACTS Device) is used as a shunt active controller which used to reduce harmonics, when grid is interconnected with the non-linear load. In this work a new methodology is proposed i.e., Fuzzy Logic technique is integrated in the control circuit of DSTATCOM that helps to compare the reference voltage and output voltage of grid in order to minimize the error and improve power quality
Comparative study of Conplast SP 430 and Polycarboxylic Ether based super plasticizer on M50 grade PVA-FRC
Authors: Naik G. Prashanth , Koniki Srikanth , Hemalatha
Published: October 2021

The properties of conventional concrete is improved by addition of fiber in it. By addition of these fibers ductility of concrete is enhanced and brittleness of concrete reduced. In this study Polyvinyl alcohol (PVA) fibers are used as a reinforcing material. Polyvinyl alcohol is a high resistance nonreactive material. It will not oxidize when exposed to aggressive whether conditions and having good affinity with cement. Polyvinyl alcohol fibre of size 6 mm added in five proportions of 0%, 0.125%, 0.25%, 0.375% and 0.5%. the workability of concrete decreased by addition of PVA fibers in it. So, the superplasticizers are used to improve the workability. In this study two different plasticizers Conplast SP 430 and Polycarboxylic Ether (PCE) are used and their performance on the workability and strength of concrete was worked out. The main reason for conducting this study is to find out the optimum dosage of PVA fibers, optimum dosage of super plasticizer and suggest which super plasticizer is more suitable for preparation of Polyvinyl alcohol fiber reinforced concrete.
Mechanical Properties of PVA & Steel Hybrid Fiber Reinforced Concrete
Authors: Sai Sree K Sharmila , Koniki Srikanth
Published: October 2021

Combining various kinds of fibre to achieve good response and strength from the concrete by using different experiments is shown in this research. Here PVA which is polyvinyl alcohol and HS hooked end steel fibres are used to gain more strength compared with normal concrete or single fibre concrete. Here first we take PVA specimens results by considering optimum dosage 0.15% result & HS fibre is taken as HFRC concrete by this the strength of the concrete can control the crack behavior occurred in specimens. Mechanical properties such as compressive strength test, flexure strength, and stress-strain behavior are studied. Combining different fibers HFRC is mainly useful for longstanding structures. This method can be easy to understand and economical.
Analysis and Design of Intze Water Tank by Using STAAD Pro
Authors: Imadabathuni Chandana , Sri Vardhan Goud Padala , Ravi Kiran Nalla , Naveen Bathula
Published: October 2021

Water tank is a water storage structured built for long term use. These tanks were utilized for various uses like distribution of water, firefighting, agriculture, food industry, paper mills etc. It comes in handy when there is an intermittent supply of water or scarcity of water. Materials like concrete, pvc Galvanized Iron, fibre is used to manufacture tanks. Water is pumped through pipe by using pumps from a source. For distribution purpose water can be distributed either gravity or pump to reach individual with desired pressure and velocity. Volume is calculated based upon population and their usage and demand. Water demand varies hour to hour. For a continues supply water tanks are best suited. To meet water demand by public water tanks are to be constructed. Design and analysis are similar for any liquid present in water tank but is should be crack free to avoid leakage
Flexural behaviour of hybrid fiber reinforced concrete beamusing BFRP bars
Authors: Nikhil Guntupally , Hemalatha K. , Mallikarjuna Reddy V , Swamy Nadh V.
Published: October 2021

The corrosion of rebar is one of the main problem in the construction industry. A lot of amount is spent on the repair work every year but none of them is that effective. Therefore, the recent studies are being conducting on the FRP rebar due to the brittle nature and the bonding performance. We have also used PVA fiber in concrete to increase the strength of the concrete. we are using Hybrid beams in which we have replaced the corner rebar with BFRP bars because of their superior corrosion effect and the strength to weight ratio. We used four point loading test on these hybrid reinforced beams to find the flexural behaviour by which we can predict the performance. 0.25% PVA fiber reinforced concrete showed the optimum results.