bluuebunny/crossref_metadata_2025_split huggingface dataset:
Optimization of awj process using fuzzy taguchi method for improving surface characteristics of silicon wafer
Authors: Oliver Nesa Raj S , Prabhu S 
Published: September 2020

Abstract
This study investigates the slicing capabilities and surface characteristics of Silicon wafer by optimizing the operation parameters of the Abrasive water jet machining process. Slicing carried out on single crystal pure silicon ingot in AWJM by using an abrasive particle of size 80 mesh. To optimize the AWJ operation parameters L9 Taguchi orthogonal array is used and compare the superficial feature like surface roughness, topography, and slicing rate using different input parameters like SOD, water jet pressure, and flow rate of abrasives. To know the significant slicing parameter, which impact in the surface finish of silicon wafer by ANOVA analysis and the empirical model of the slicing process is find by using a regression model, Further Fuzzy logic analysis used to predict the abrasive water jet machining process parameters with Mamdani fuzzy rules and Triangular membership function. SEM analysis is portrayed by the surface morphology of different mesh size machined on pure Si wafer.
Effect of Heat Treatment and Plasma Arc Welding on the Mechanical and Metallurgical Properties of Hastelloy C276
Authors: Mohammed Iqbal U , Muralidharan S 
Published: September 2020

Abstract
Hastelloy is a superalloy which contains nickel, chromium, iron and molybdenum as its major constituents which possess outstanding high temperature strength and oxidation resistance. The objective of this work is to study the heat treatment effect on mechanical and metallurgical properties of Hastelloy C276. A total of four samples are prepared at two different temperatures (700°C and 900°C) and at two different soaking times (4 and 8 hours). Tensile strength, percentage elongation and hardness were measured for the heat-treated samples. Further plasma arc welding was carried out on the heat-treated samples to understand its effect on tensile strength and hardness. The results indicate that there is significant increase in tensile strength and hardness of the hastelloy after heat treatment. Sample processed at 900°C and 8 hours soaking time has the maximum tensile strength and hardness of 378 MPA and 197 HV respectively. There is slight increase in tensile strength of the plasma arc welded samples. The percentage elongation of heat-treated samples is reduced after the welding process. The XRD pattern of the alloy revealed that the alloy is amorphous or microcrystalline in structure. The SEM image reveals the surface topography of the aged samples which confirms the experimental results.
Design and development of waterless solar panel cleaning system
Authors: Kar Sanjaya Kumar , Akhtar Atif , Gambhir Anant Singh , Vignesh J , Nair Ritesh 
Published: September 2020

Abstract
With around 300 clear and radiant days in a year, the determined sun-based vitality occurrence on India’s property zone is around 5000 trillion kilowatt-hours (kWh) every year. The sunlight-based vitality accessible in a solitary year surpasses the conceivable vitality yield of the majority of the petroleum product vitality holds in India. The everyday normal sun-based power-plant age limit in India is 0.20 kWh per m2 of utilized land territory. Efficiency of solar panels are poor when they are not clean. Water based manual cleaning is costly, brings about ecological damage. Apart from leading to an electrical hazard, water-based cleaning leaves deposits, and causes scratches because of scouring. With manual cleaning, there is a danger of harming the covering of the boards. Our design utilizes nylon bristled brushes making no harm to the panels. No weight or stress is applied on the photovoltaic cells. The cleaner robot is self-fuelled, and programmed. It navigates through the entire length and comes back to the docking position. This completes one work cycle. Cleaning is finished utilizing exceptionally planned brushes, lifting the residue far from the boards. The cleaner robot can be retrofitted to suit existing or customized solar panels.
Experimental investigations on the effect of heat input on CO2 laser welded Ti-6Al-4V plates
Authors: Kurmia Jai Singh , Aravind A P , Mahidhara Vasareddy , Sampreeta K R , Kannan T Deepan Bharathi 
Published: September 2020

Abstract
In this work an attempt is made to study the effect of heat input in CO2 laser welding of Ti-6Al-4V Plates. Ti-6Al-4V alloys finds wide range of applications in aerospace and biomedical industries owing to their properties such as high strength to weight ratio and very good corrosion resistance. Welding plays an important role in the fabrication of components made of Ti-6Al-4V. In this work, Ti-6Al-4V plates of thickness 3 mm was welded in butt joint position. Laser welding was done at different heat inputs by varying the laser power and keeping the welding speed at a constant value. The quality of the weld was analysed with respect to bead geometry, mechanical properties such as microhardness and Tensile strength. It was understood that, with increase in heat input, mechanical properties got increased. The reasons for the variation of the properties are also discussed with the help of metallurgical analysis.
Investigation on aisi 430 ferritic stainless steel weldment by Tig, Mig welding and continuous drive friction welding
Authors: Senthil Kumar G , Ramakrishnan R 
Published: September 2020

Abstract
This work describes the study conducted on the macrostructure, microstructure and Tensile strength characteristic of AISI 430 Ferritic stainless steel joints by TIG Welding, MIG Welding and Friction Welding. A detailed analysis was conducted on mechanical property by ANOVA for each of the weldment. The output of the investigations exhibits that the weldment made by MIG has the high tensile strength (580 MPa) than the weldment made by FW (536 MPa) and TIG (492 MPa). The influence of process parameters on mechanical characteristics of weldment by MIG, TIG and FW were individually discussed. The fracture surface analyzed using SEM and found that FW weldment free from defects like carbide precipitation, stress corrosion cracking, sigma phase formation, high heat affected zone, joint distortion were usually occurs in stainless steel weldment by TIG and MIG. The microstructure of the weldment by MIG and TIG is found to be heterogeneous and the same is found by schaeffler diagram.
Selective Breeding Model for Optimizing Multi Container Loading Problems with Practical Constraints
Authors: Rajesh Kanna S K , Lingaraj N , Sivasankar P , Rebekah J , Geetharani K , Akash C 
Published: September 2020

Abstract
Multi container loading problem have been considered in this research for optimization of its packing pattern to yield maximum utilization of the container volume by satisfying the practical constraints such as boundary crossing constraint, weight constraint, stability constraint and placement constraint using selective breading algorithm. To be useful in real time packing, developed model also checks the feasibility of packing pattern and also uses best fit tuning algorithm for forbid possible empty spaces inside the container with the available bins and thereby avoid cargo displacements at the travel. The boundary crossing constraint conforms that the pallets are completely packed inside the containers without any overlap between themselves and with container boundary. Weight constraints are to check the total weights of the bins to be packed are within the threshold limit. Stability constraint is to satisfy the centre of gravity of the cargo is in line with the container and also the load bearing capacity of the bins. Placement constraint is to build pallets by considering the ease in loading and unloading respectively. In order to validate the developed model, the computational study had performed with large number of instances from ORLIB and the obtained solutions were satisfactory in most cases.
Flow analysis of abrasive micro-blasting with glycerol and acrylamideas carrier medium using computational fluid dynamics
Authors: Ramanathan S. , Naveen E. , Vignesh R.M. , Sudharson S.K. , Charan B. 
Published: September 2020

Abstract
Continuous growth is observed in the fieldofNon-Traditional machining where the machiningof newly developing materials is the need of the current segment. Nowadays Abrasive Fluid Jet Machining has used to machine a wide range of elastic and plastic materials including aerospace, automobile, ordinance and combat as well as day to day lifeapplications which require high strength to weight ratios. In Abrasive fluid jet machining, the abrasives are mixed with a liquid to form a slurry. The cutting performance is degraded by the rapid wear of the nozzle by the flow of the Abrasive Fluid mixture through the nozzles that lead to the divergence of the Abrasive Fluid Jet. The Angle of impingement affects the machining responses such that total cutting time has its influence. The Wear characteristics of the Nozzle Material are critical for such machining. The Nozzle inlet pressure of the abrasive fluid jet has a magnanimous effect on the erosion characteristics inside the nozzle. An analysis was carried out with constant Nozzle Taper angle and with Glycerol & Acrylamide solution as a carrier medium. The aim of this work is to analyze the effect of inlet operating pressure on wall shear and exit kinetic energy with respect to glycerol and Acrylamide solution. The two-phase flow analysis was carried by using a computational fluid dynamics tool CFX. The availability of optimized process parameters of abrasive fluid jet machining is limited to water practically. The other Carrier Medium for Abrasive Fluid Jet Machining can be explored widely. In this case, computational fluid dynamics analysis might provide better results than the real-time experimental work.
Integrating the automated car manufacturing system based on RFID and analysis using modules
Authors: Rahul R. , Kumaraswamy A. 
Published: September 2020

Abstract
In this module the analysis of the automated car manufacturing system is done. RFID tag is used to read each section of automobile manufacturing. There is an IR sensor in each segment of work envelops to detect the job completion. The first segment is for engine front and rear suspension module of the car, the second one is to integrate the Chassis Marriage Module, the third for integrating the Trim line of a car, and the fourth for implementing the Final line and testing the Quality of the Car. Here the RFID tag reads and stores the information detected by IR sensor. The Arduino controller connected to the IR sensor sends the data wirelessly to the MATLAB software through ZigBee module. This makes the production work simpler and effective. Also the throughput can be checked and analysed. Thus the performance and efficiency of manufacturing process can be analysed. Also the failure performance at distinct levels can be calculated. This will certainly help in analysing the working condition of each work envelope at regular intervals.
Friction welding of dissimilar aluminium 6061and SS 430F steel and its characterizations
Authors: Periyasamy P , Raja  , Kamaraj M , Balachandar M. , Ramanan N 
Published: September 2020

Abstract
Friction welding is a process to weld similar and dissimilar metals and it finds widespread applications in mass production method for joining the parts in various industries. In the present work, the joining of two dissimilar materials such as Aluminium 6061 and SS 430F steel using friction welding was investigated. Aluminium 6061 and SS 430F steel bars were cut into pieces having the dimension of 75 mm x 20 mm as length and diameter. Process variables such as upset force, friction force and burn off length were considered for this friction welding process. The welded region was analysed to investigate the mechanical testing like hardness test, impact test, bend test and pull load test. The XRD studies indicated the presence of Al, Fe and intermetallic phases in the welded region. The hardness studies were conducted at different zones of the samples indicating highest hardness at the weld interface. Toughness and bending strength increased and pulling strength decreased with an increase in friction force and burn off length for low upset force as well as high upset force. The SEM image of fracture surface of pull load test specimen showed the ductile failure of friction welded joint. This solid-state structure of dissimilar materials can be used in the structural applications of aircraft, marine and automobile engineering with an aim to meet weight reduction.
A study on the combined effect of aging and severe plastic deformation on the mechanical properties of AA6061 alloy
Authors: Muralidharan S , Arun Kumar S , Mohammed Iqbal U 
Published: September 2020

Abstract
Severe plastic deformation (SPD) process is used to attain ultra fine grains in the material. Twist channel angular pressing (TCAP) is an effective SPD technique that is used to achieve more grain refinement in less number of passes. This work explores the combined effect of aging and TCAP on the mechanical properties of aluminium-6061 alloy. Finite element analysis (FEA) was performed to predict the load for two coefficients of friction (µ=0.2&0.5). Based on the strain to load ratio, µ=0.2 was used to perform the experiments. The samples were aged at 150°C for 9 hours and extruded by twist channel angular pressing process. The hardness and tensile strength of the aged and un-aged samples before and after twist channel angular pressing was measured. Hardness and the tensile strength was measured. Compared to the un-aged sample the tensile strength and hardness is increased by 34% and 23% respectively for the aged specimen after the twist channel angular pressing process.
Optimization of process parameters in friction welding of super duplex stainless steel
Authors: Manoj Samson R , Deepan Bharathi Kannan T , Aravind R , Varun Vinayak A B 
Published: September 2020

Abstract
Super duplex stainless steel (SDSS) of grade UNS 32750 is a material with high corrosive resistance and strength. Due to these properties SDSS finds application in chemical, and oil industries. Welding plays a crucial role in the above industries for fabricating crucial components. Among the various welding processes, friction welding is least explored in joining SDSS. In this work, Friction welding was used to join SDSS in order to get properties required for oil industries. Welding trials were done based on L9 Taguchi array carried out with friction load (kg), friction time (s), forge load (kg) and forge time (s) as input parameters. The weld quality was assessed by measuring tensile strength and hardness. Grey Relational Analysis was used to identify the optimised parameter combinations. From GRA, it is understood that the optimised parameter combination lies outside L9 welding trials. Confirmation test was done based on the GRA predicted optimised parameters and the experimental results were found to be in good agreement with the predicted values. The metallurgical aspects of the weld are also discussed with the help of microstructures taken through optical microscope.
Optimization of Cutting Parameters Based on Surface Roughness and Cutting Force During End Milling of Nimonic C-263 Alloy
Authors: Giridhar Reddy P , Gowthaman S , Jagadeesha T 
Published: September 2020

Abstract
The surface integrity of machined surfaces greatly influences the functional properties of the components such as fatigue life, etc. Nickel-based superalloy such as Nimonic C-263 is termed as difficult to machine material due to its unique properties as well as high strength at elevated temperatures. This study intends to optimize the cutting parameters (cutting speed, feed, depth of cut) during the end milling of Nimonic C-263 and the machining has been carried out using solid tungsten carbide tool coated with TiAlN and Vertical Machining Center. Experimentation is carried out using Taguchi L9 orthogonal array technique and based on signal to noise ratio data, optimum machining parameters were achieved for preferred observable characteristics such as cutting force and surface roughness. Additionally, Multi-purpose optimization (Grey analysis) of the observable characteristics was conducted to predict the optimum machining parameters combination which offers better producible surface finish and lowest cutting force requirement. Further, the analysis of variance (ANOVA) reveals that the feed rate is the farthest influencing factor followed by the depth of cut, cutting speed, and the variations in cutting force and surface roughness are confirmed through chip morphology using Scanning electron microscopy.
2d finite element analysis of inconel 718 under turning processes
Authors: Chandra Mouli G , Prakash Marimuthu K , Jagadeesha T 
Published: September 2020

Abstract
Nickel-based alloys like INCONEL 718 are extensively used in manufacturing aero-engine components due to their excellent mechanical and chemical properties at high elevated operating temperatures. The machining of these alloys often poses a challenge due to its rapid changes in machining parameters such as microstructure of the material, hardness and surface behavior due to high plastic deformation during machining. Also, thermal properties such as low thermal conductivity contribute to high temperatures in the cutting zone. This paper aims to create a numerical model to examine the cutting forces induced by orthogonal machining. The FE method was used to simulate and analyze the cutting tool temperature and cutting forces. In this work, the Finite element model has been developed using ABAQUS to model 2D-orthogonal cutting of the INCONEL 718 using the WC tool coated with TiN. The cutting forces and tool temperatures were predicted using Johnson-Cook formulation under different conditions like dry and cryogenic conditions. For the cryogenic model, all types of heat transfer coefficients were considered. A dynamic explicit time integration technique with arbitrary lagrangian eulerian (ALE) adaptive meshing technique was employed to simulate the model. The simulations are conducted at speeds 1000 mm/sec, 1250 mm/sec, 1500 mm/sec, it feeds 0.08 mm/rev, 0.1 mm/rev, 0.15 mm/rev, and depth of cut of 0.5 mm, 0.75 mm, 1 mm. For the given tool–work combination it is found that at speed 1250 mm/sec, feed rate 0.08 mm/rev, depth of cut 0.75 mm the cutting force results are good.
Structural design of zoomorphic robot
Authors: Durga Prasad D , Vasanth Kumar CH 
Published: September 2020

Abstract
In recent years many Zoomorphic robots have come into usage and these robots have an Animal based structure and they are known as social robots. The mechanical legs base gives the robot have amazing manoeuvrability so, the flexibility that decides the commands can be executed. Naturally, where these flexible components in ligaments largely add to the amazing headway abilities, the zoomorphic robot is assembly. This novel work deals with the design and development of a zoomorphic robot structure. The Kinematics Solutions are determined for the created structure utilizing a specially designed 3D printing robot. An Arduino application has used, to control the robot for its locomotion and positioning of the legs.
Multiple oriented robots for search and rescue operations
Authors: Ahamed Ali Firthous M , Kumar R 
Published: September 2020

Abstract
Search and rescue (SAR) operations in a tragedy affected area is challenging. The rescue robots helps in the exploration of unknown, confined and cluttered environments. Multiple robots are developed will to explore the disaster affected region and will be able to detect any people or living beings present there. The robots have living beings as their targets in tragedy affected area. The multiple robots deployed in the field, traverse through the tragedy affected area. A novel algorithm has been developed which helps in finding the target. The rescue robots are programmed to find the shortest and less obstacle path to reach the target. Due to the tragedy affected environment, the robots decides the moving direction based on the information gathered by sensors such that the optimal path between start and goal positions can be found. The path to target by the robots are shared among them and best path is chosen among them. The robots explore and searches the region avoiding the obstacles and whenever it comes into contact with a living being it shares the information among other robots. The CO2 level of the particular region is also checked to know whether the person is in breathing state. The algorithm will be developed in order to increase the pace of the search and to locate the living being. The SAR robots have application over tragedy affected areas like earthquake, avalanche, etc.
IoT based dual-axis solar tracking system
Authors: Vinodhkumar R , John Stalin 
Published: September 2020

Abstract
This paper discusses the implementation of IoT (Internet of Things) for maneuvering and remote monitoring the orientation of the solar panel from anywhere. Solar energy is clean, abundant, eco-friendly and it is a renewable type of energy. In order to maximize the efficiency of the solar panel, it should be perpendicular to the solar rays emitted from the sun. It can be achieved by rotating the solar tracker along with the sun throughout the day. Sun’s position is determined by its Azimuth and Elevation angles. Nowadays the world is moving towards a new era called the Internet of Things and everything can be found on the internet. These angle data can be also found on the Internet, which makes this solar tracker precise, cheap, and accurate for tracking. It also makes monitoring the solar tracker position from anywhere at any time.
Automated quality monitoring system for Ceramic Tiles
Authors: Murugesan R , Ragul T , Edison Jibin , Vinoth T 
Published: September 2020

Abstract
In the trending decade of automation in manufacturing, quality is keenly regarded as a driving force among the industries and consumers. Though sampling techniques were introduced after automation to increase productivity and to support mass production, they fail to match up the quality of 100 percent inspection of the components. From the observation at a ceramic tile manufacturing industry, it was found that among various problems faced, the diagonals of the finished tiles were measured manually using vernier callipers. The paper proposes an automation system using proximity sensors for efficient online measurement of diagonal dimensions of the ceramic tiles by sensing the proximity of the tiles moving on the conveyor system. The microcontroller checks if the diagonals are within the required tolerance limits and displays the lengths of the diagonals and also gives a signal if they are out of limits, leading to rejection of the particular tile. The system improves the speed, along with accuracy of quality monitoring system and reduces the intensive labour work required from the inspectors.