Showing papers by "Kongu Engineering College published in 2020"
TL;DR: In this article, various monitoring methods for tool condition monitoring in the milling process that have been practiced and described in the literature have been summarized and described. But, the most important improvement in metal the cutting industry is the continuous utilization of cutting tools and tool condition monitor system.
Abstract: The most important improvement in metal the cutting industry is the continuous utilization of cutting tools and tool condition monitoring system. In the metal cutting process, the tool condition has to be administered either by operators or by online condition monitoring systems to prevent damage to both machine tools and workpiece. Online tool condition monitoring system is highly essential in modern manufacturing industries for the rising requirements of cost reduction and quality improvement. This paper summaries various monitoring methods for tool condition monitoring in the milling process that have been practiced and described in the literature.
191 citations
TL;DR: In this paper, the significance of the four reaction parameters such as methanol to oil ratio, catalyst concentration, mixing speed, and reaction time and their combined effect on biodiesel yield is investigated through twenty-nine of the pre-designed and performed experiments.
126 citations
TL;DR: A novel dynamic graph cut algorithm for skin lesion segmentation followed by a probabilistic classifier called as Naive Bayes classifier for skin disease classification purposes is intended to use.
70 citations
TL;DR: The paper discusses the pretreatment methods, frying oil, frying characteristics and product quality along with the advantages and disadvantages of the process.
Abstract: Deep fat frying process involves submerging a food in extremely hot oil until a safe minimum internal temperature is attained. Deep fried foods are hot and crispy on the outside and cooked safely in the center. Deep frying is very fast and, when performed properly, destroys bacteria. When water/moisture in food encounters very hot oil water vaporizes instantaneously turning into super-heated steam. It expands quickly and creates the crispy texture. Though this process has been used traditionally, the mechanism has not been described in literature and it does have downsides. The paper discusses the pretreatment methods, frying oil, frying characteristics and product quality along with the advantages and disadvantages of the process.
64 citations
TL;DR: In this article, the main aim of the present review paper is to integrate the active solar still with photovoltaic panel to increase the distillate output as well as improvement in efficiency of solar PV.
57 citations
TL;DR: C crow search algorithm (CSA) is proposed for task scheduling in cloud, inspired from the food collecting habits of crow, which reveals that CSA algorithm performs better compared to Min–Min and Ant algorithms.
Abstract: Cloud computing is a dynamic and diverse environment across different geographical locations. In reality, it consists of a vast number of tasks and computing resources. In cloud, task scheduling algorithm is the core player which identifies the suitable virtual machine (VM) for a task. The task scheduling algorithm is responsible for reducing the makespan of the schedule. In recent years, nature-inspired algorithms are applied to task scheduling which performs better than conventional algorithms. In this paper, crow search algorithm (CSA) is proposed for task scheduling in cloud. It is inspired from the food collecting habits of crow. In reality, the crow keeps on eyeing on its other mates to find a better food source than current food source. In this way, the CSA finds a suitable VM for the task and minimizes the makespan. Experiments are carried out using cloudsim to measure the performance of the CSA along with Min–Min and ant algorithms. Simulation results reveal that CSA algorithm performs better compared to Min–Min and Ant algorithms.
56 citations
TL;DR: In this article, a multiobjective optimization technique involving response surface methodology (RSM)-based desirability function approach is used in optimizing the process parameters for friction stir welding of AA6063-T6 pipes.
Abstract: In this study, a multi-objective optimization technique involving response surface methodology (RSM)-based desirability function approach is used in optimizing the process parameters for friction stir welding of AA6063-T6 pipes. Two process parameters, namely, tool rotational speed and weld speed, are optimized for achieving a weld joint having superior tensile properties, viz., maximum yield, and ultimate tensile strength and maximum % of elongation. A regression model, with a 95% confidence level, is developed using response surface methodology to predict the tensile strength of the weld joint. ANOVA technique is used to determine the adequacy of the developed model and identify the significant terms. The desirability function is used to analyze the responses and predict the optimal process parameters. It is found that tool rotational speed and weld speed have equal influence over the tensile strength of the pipe weld. Tool rotational speed 1986 rpm and weld speed 0.65 rpm have yielded a maximum ultimate tensile strength of 167 MPa, yield strength of 145 MPa, and % elongation of 8.3, under considered operating conditions. Microstructural attributes for superior weld properties are also discussed.
56 citations
TL;DR: Experimental results reveal that RSC outperforms the existing algorithm in scalability and network lifetime for large-scale sensor deployments.
Abstract: Clustering in wireless sensor networks plays a vital role in solving energy and scalability issues. Although multiple deployment structures and cluster shapes have been implemented, they sometimes fail to produce the expected outcomes owing to different geographical area shapes. This paper proposes a clustering algorithm with a complex deployment structure called radial-shaped clustering (RSC). The deployment structure is divided into multiple virtual concentric rings, and each ring is further divided into sectors called clusters. The node closest to the midpoint of each sector is selected as the cluster head. Each sector’s data are aggregated and forwarded to the sink node through angular inclination routing. We experimented and compared the proposed RSC performance against that of the existing fan-shaped clustering algorithm. Experimental results reveal that RSC outperforms the existing algorithm in scalability and network lifetime for large-scale sensor deployments.
56 citations
TL;DR: Experimental set up of double basin solar still with evacuated tubes has been fabricated by locally available materials and then carry out research work by use of solid fins Here 25'cm constant d as discussed by the authors.
Abstract: Experimental set up of double basin solar still with evacuated tubes has been fabricated by locally available materials and then carry out research work by use of solid fins Here 25 cm constant d
52 citations
TL;DR: In this article, the use of fins in solar still and how it can be used to enhance the distillate output of solar still is discussed and a table is also presented to show the uses of fins to increase the distillation output alone and with the useof certain materials.
51 citations
TL;DR: In this paper, two fabrics namely cotton/cotton woven fabric having cotton yarn in both warp and weft direction; and cotton/bamboo woven fabric with cotton yarn (warp direction) and bamboo yarn (weft direction) were selected.
Abstract: In this study, two fabrics namely cotton/cotton woven fabric having cotton yarn in both warp and weft direction; and cotton/bamboo woven fabric with cotton yarn (warp direction) and bamboo yarn (weft direction) were selected. Compression moulding method has been used to fabricate cotton/cotton and cotton/bamboo woven fabric reinforced composites with epoxy resin as a matrix material. The mechanical properties of cotton/cotton and cotton/bamboo reinforced composites had been compared under five different fiber loading conditions (30, 35, 40, 45 and 50 wt.%) and the fractured morphology was analyzed using scanning electron microscope. It was noted that cotton/bamboo reinforced composite with 45 wt.% fiber loading exhibited the best mechanical properties namely tensile, flexural, impact, compression, and inter laminar shear stress (ILSS), due to its weft direction of bamboo yarn.
TL;DR: This study investigates mechanisms, effects and variations on burr formation in most common machining processes such as drilling, milling, turning and grinding based on the information available in literature.
Abstract: Burrs, being one of the most undesired obstructions generated during machining, affects work piece quality negatively in many aspects. Although deburring removes burrs, this extra process is time consuming, costly and might affect dimensional accuracy. This study investigates mechanisms, effects and variations on burr formation in most common machining processes such as drilling, milling, turning and grinding based on the information available in literature. The problems related to burrs as well as ways and methods to remove burr and control or minimize burr formation has critically discussed. Burrs can be minimised by selecting proper tool geometry, tool materials, coolant, machining parameters, work piece material, process planning and tool path design. As there is no method that can eliminate burr formation, thus deburring is essential to eliminate burrs after machining. Manual tools, abrasive blasting, abrasive flow, magnetic abrasive finishing, centrifugal barrel finishing, thermal melting and electrochemical effect are most commonly used for deburring depending on material, size and precision of parts.
TL;DR: The developed Integrated IoT architecture is experimentally validated in real-time lab-scale fluid transportation pipeline system and the performance of Linear Quadratic Regulator-PID controller to regulate pressure and flow rate of the fluid being tansported is analyzed by comparing with convnetional controllers like Internal-Mode controller and Zigler–Nichols controller.
TL;DR: An Energy Efficient Particle Swarm Optimization (PSO) based Clustering (EEPSOC) technique for the effective selection of cluster heads (CHs) among diverse IoT devices and an artificial neural network (ANN) based classification model is applied.
TL;DR: In this paper, the flank wear of the cutting tool is predicted using artificial neural network based on the responses of cutting force and surface roughness, and EN8 steel is chosen as a work piece mate.
Abstract: In this work, the flank wear of the cutting tool is predicted using artificial neural network based on the responses of cutting force and surface roughness. EN8 steel is chosen as a work piece mate...
TL;DR: Natural fibre-reinforced polymer composites are increasingly replacing commercial composite materials as discussed by the authors, and the limitations of conventional composites materials are overcome by green composites, which a...
Abstract: Natural fibre-reinforced polymer composites are increasingly replacing commercial composite materials. The limitations of conventional composites materials are overcome by green composites, which a...
TL;DR: This paper aims to investigate the elimination of harmonics in a solar fed cascaded fifteen level inverter with aid of Proportional Integral, Artificial Neural Network and Fuzzy Logic based controllers to provide output voltage regulation in terms of maintaining voltage and frequency at the inverter output end in compatible with the grid connection requirements.
Abstract: The presence of harmonics in solar Photo Voltaic (PV) energy conversion system results in deterioration of power quality. To address such issue, this paper aims to investigate the elimination of harmonics in a solar fed cascaded fifteen level inverter with aid of Proportional Integral (PI), Artificial Neural Network (ANN) and Fuzzy Logic (FL) based controllers. Unlike other techniques, the proposed FLC based approach helps in obtaining reduced harmonic distortions that intend to an enhancement in power quality. In addition to the power quality improvement, this paper also proposed to provide output voltage regulation in terms of maintaining voltage and frequency at the inverter output end in compatible with the grid connection requirements. The simulations are performed in the MATLAB / Simulink environment for solar fed cascaded 15 level inverter incorporating PI, ANN and FL based controllers. To exhibit the proposed technique, a 3 kWp photovoltaic plant coupled to multilevel inverter is designed and hardware is demonstrated. All the three techniques are experimentally investigated with the measurement of power quality metrics along with establishing output voltage regulation.
TL;DR: In this paper, the analysis of vibrational spectra and electronic structure of 3-(1-m-toluidinoethylidene)-chromane-2,4-dione (L1) and its corresponding palladium (II) complex (C1) was employed to characterize the spectroscopic behavior and molecular structure of the investigated compounds by applying B3LYP-D3BJ/6-311+G(d,p) level of theory.
TL;DR: In this article, an electrochemical process was employed to degrade reactive red 2 (RR2), a model pollutant that contains dichloro triazine ring, was subjected to the electrocoagulation process using aluminium electrodes.
Abstract: Textile effluents contain triazine-substituted reactive dyes that cause health problems such as cancer, birth defects, and hormone damage. An electrochemical process was employed effectively to degrade azo reactive dye with the aim of reducing the production of carcinogenic chemicals during biodegradation. Textile dye C.I. Reactive Red 2 (RR2), a model pollutant that contains dichloro triazine ring, was subjected to the electrocoagulation process using aluminium (Al) electrodes. A maximum of 97% of colour and 72% of chemical oxygen demand (COD) removal efficiencies were achieved and 9.5 kWh/kg dye electrical energy and 0.8 kg Al/kg dye electrode consumption were observed. The dye removal mechanism was studied by analysing the results of UV-Vis spectra of RR2 and treated samples at various time intervals during electrocoagulation. Fourier transform infrared (FTIR) spectra and energy dispersive X-ray (EDX) spectral studies were used for analysing the electrocoagulated flocs. The results indicate that in this process the dye gets removed by adsorption and there is no significant carcinogenic by-product formation during the degradation of dye. doi: 10.2166/aqua.2020.109 ://iwaponline.com/aqua/article-pdf/69/4/345/724756/jws0690345.pdf Sakthisharmila Palanisamy Department of Chemistry, Bannari Amman Institute of Technology, Sathyamangalam 638 401, India Palanisamy Nachimuthu Manikandan Palanichamy Centre for Environmental Research, Department of Chemistry, Kongu Engineering College, Perundurai 638060, India Mukesh Kumar Awasthi College of Natural Resources and Environment, Northwest A&F University, Yangling, Shaanxi Province 712100, China Balasubramani Ravindran Soon Woong Chang Dinh Duc Nguyen (corresponding author) Department of Environmental Energy Engineering, Kyonggi University, Youngtong – Gu, Suwon 16227, Korea E-mail: kalamravi@gmail.com Dinh Duc Nguyen Faculty of Environmental and Food Engineering, Nguyen Tat Thanh University, 300A Nguyen Tat Thanh, District 4, Ho Chi Minh City, 755414, Vietnam
TL;DR: An innovative solution is to harness increasing healthcare digitization that produces enormous volumes of clinical data contained in e-HCR and merge it with advanced ML software to improve clinical decision-making, thus extending the medication evidence base at the same time.
TL;DR: The developed forecast model successfully predicts future fault occurrences rate followed by dissimilarity rate from clustering results holds the validity of 91.9% when applied to the historical pressure datasets.
Abstract: The world of oil pipelines is subjected to serious issues due to occurrences of toxic spills, explosions and deformations like particle deposition, corrosions and cracks due to the contact of oil particles with the pipeline surface Hence, the structural integrity of these pipelines is of great interest due to the probable environmental, infrastructural and financial losses in case of structural failure Based on the existing technology, it is difficult to analyze the risks at the initial stage, since traditional methods are only appropriate for static accident analyses Nevertheless, most of these models have used corrosion features alone to assess the condition of pipelines To sort out the above problem in the oil pipelines, fault identification and prediction methods based on K-means clustering and Time-series forecasting incorporated with linear regression algorithm using multiple pressure data are proposed in this paper The real-time validation of the proposed technique is validated using a scaled-down experimental hardware lab setup resembling characteristics exhibited by onshore unburied pipeline in India In the proposed work, crack and blockages are identified by taking pressure rise and pressure drop inferred from two cluster assignment The obtained numerical results from K-means clustering unveils that maximum datasets accumulated range of multiple pressures are within 16147–10638 kg/cm2, 14922–121674 kg/cm2, 27645–12063 kg/cm2 correspondingly Hence by this final cluster center data, inspection engineers able to estimate the normal and abnormal performance of oil transportation in a simple-robust manner The developed forecast model successfully predicts future fault occurrences rate followed by dissimilarity rate from clustering results holds the validity of 919% when applied to the historical pressure datasets The models are expected to help pipeline operators without complex computation processing to assess and predict the condition of existing oil pipelines and hence prioritize the planning of their inspection and rehabilitation
TL;DR: Wind-photovoltaic (PV) with backup energy storage system like battery bank and diesel generator-based hybrid energy system (HES) becomes popular day by day because it gives the reliable energy supply.
Abstract: Wind-photovoltaic (PV) with backup energy storage system like battery bank and diesel generator-based hybrid energy system (HES) becomes popular day by day because it gives the reliable energy reso...
TL;DR: In this paper, a newly developed hydrocarbon based multifunctional fuel additive named as Thermol-D was used with diesel and Calophyllum Inophyllium biodiesel to improve compression ignition engine characteristics.
TL;DR: In this paper, the authors examined different researchers work on groundwater into the solar still with thermoelectric modules and concluded that the thermolectric module with solar still is a potential application to produce potable water from groundwater along with the generation of electricity.
TL;DR: The automobile sector is one of the major consumers in India as mentioned in this paper, and vehicles become the inevitable component in our day-today life. It plays a vital role in peoples comfort.
Abstract: The automobile sector is one of the major consumers in India. Vehicles become the inevitable component in our day today life. It plays a vital role in peoples comfort. This growth of vehicles resul...
TL;DR: This work has combined the statistical models along with machine learning algorithm to improve the results thereby resulting in robust communication and experimentation results on AURORA 2 database shows improved results over the state of the art methods discussed in the literature.
TL;DR: This work addresses by putting forth a unified IoT framework model dependent on the Mobile Security IP IoT Architecture (MSIP-IoT-A) which exclusively concentrates on supporting Sec for the IoT by suggesting a peer-to-peer SecP for fulfilling a range of environment.
TL;DR: In this paper, an Artificial Neural Network (ANN) and Response Surface Methodology (RSM) model is developed to predict and optimize decanol proportion in ternary blends.
TL;DR: In this paper, an ion conducting polymer electrolyte, pectin with magnesium chloride salt for magnesium battery application is presented, and the performance of the battery performance has been evaluated.
Abstract: Currently, biopolymer electrolytes are attracting a great deal of interest as substitute for synthetic polymer electrolytes in electrochemical devices, as they are carbon neutral, sustainable, reduce dependency on non-renewable fossil fuels and easily biodegradable. Some of the biopolymers under research are chitosan, pectin, agar–agar, cellulose acetate and carrageenan. The current work deals with the study of ion conducting polymer electrolyte, pectin with magnesium chloride salt for magnesium battery application. Biopolymer electrolytes of different compositions of pectin with different concentrations of magnesium chloride salt are prepared by solution casting technique and subjected to various studies like by X-ray diffraction (XRD), Fourier transform infrared (FTIR), differential scanning calorimetry (DSC), AC impedance spectroscopy and linear sweep voltammetry (LSV). XRD analysis has been used to identify the amorphous/crystalline nature of the sample. The complex formation between the polymer pectin and the magnesium chloride salt has been analyzed by FTIR spectroscopy. DSC analysis is a thermo-analytical technique which is used to observe the glass transition temperature (Tg) of the samples. AC impedance technique has been used to find the ionic conductivities of the sample. The electrochemical stability of the polymer electrolyte has been analyzed by linear sweep voltammetry. Among the prepared polymer electrolytes, 30 M wt% pectin: 70 M wt% MgCl2 offers the highest ionic conductivity of 1.14 × 10−3 S cm−1. The electrochemical stability of the highest conducting sample is 2.05 V. The primary magnesium battery has been constructed using the highest conducting sample, 30 M wt% pectin: 70 M wt% MgCl2, and the battery performance has been studied.