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Optimization of friction stir welding parameters during joining of AA3103 and AA7075 aluminium alloys using Taguchi method
This paper investigates the optimization of input parameters for the friction stir welding of AA3103 and AA7075 aluminium alloys. The properties of base materials AA3103 are non-heat-treatable alloy, which is having good weldability while AA 7075 is having higher strength. Therefore, the welding of these aluminium alloys will produce superior mechanical properties. Friction stir welding is a rapidly growing welding process which is being widely used in marine, automobile and aerospace industries. Rather than its widespread use, this type of welding has several advantages over normal welding processes like low production of fume, no consumable electrodes are used and can be used in any position. In this paper, optimization of input parameters were conducted based on Taguchi method using the L9 orthogonal array. There were nine experimental runs in total after creating the L9 orthogonal array table in MINITAB software. The input parameters selected for optimization are tool rotation speed, feed rate, tool pin profile the output parameters which are optimized hardness, tensile strength, impact strength. The ANOVA analysis was carried out in the Qualitek 4 software to find out the percentage influence of input parameters on the output parameters. This research work was carried out to find the optimized condition to carry out friction stir welding of above mentioned aluminium alloys. 2021 Elsevier Ltd. All rights reserved. -
Modelling, Temperature Analysis, and Mechanical Properties of Friction Stir Welding of Al-Cu Joints with Hardened OHNS Steel Tools
Friction stir welding (FSW) is a nearly modern welding method with vital advantages over the conventional welding process, such as lower distortion, enhanced mechanical properties, and eco-friendly. In FSW, the joint characteristics mainly depend on heat development during the joining process due to its solid-state joining method. The basic principles of thermomechanical methods during FSW are unknown since it is a new metal joining method. In this investigation, the 2D and 3D models of the tools with different pin forms were designed using SOLIDWORKS. The ANSYS software was used to investigate the temperature distributions near the weld zones. The fixture was designed and made according to the machine conditions. The base plates used were AA6101 and C11000; the tool material used was the Hardened OHNS steel tool with square and circular pin form. The temperature values were measured in each trial while joining of Al-Cu base plates along the weld line. The results reveal that in the joint area, a trial with high temperature leads to high ultimate tensile strength (UTS) and Charpy impact strength (CIS). Made at tool rotation speed 1200 rpm and feed velocity 20 mm/min of Hardened OHNS steel tool with circular pin form. The obtained UTS value at joints was less than that of Al and Cu base plates. The microhardness value detected at the joint area was higher than the Al and Cu base plates, providing high strength, and irregularly dispersed. 2022, Books and Journals Private Ltd.. All rights reserved. -
Comparison of Various Types of Lubrication During Hard Turning of H13 Tool Steel by Analysing Flank Wear Using ANOVA
Hard machining of components has been a new attraction in the field of manufacturing, as it avoids the need for multiple cost inculcation processes for a single part. Hard machining attracts a wide attention to the researchers because of the usage of hard tools, tougher machinery and enormous quantities of cutting fluids. Optimized use of any of these functionaries can result in reduction of cost as well as safer and clean working environments. In this research new cutting fluid reduction processes were compared along with the use of hard metal inserts. These two methods suggest an enormous amount of cost reduction along with cleaner shop floor. Minimal quantity lubrication (MQL) and minimal cutting fluid application (MCFA) capacities in cutting fluid reduction as mentioned by various researchers in past two decades. These methods were compared in this research paper for finding out the best possible system. Flank wear is considered as a crucial parameter in hard machining as the wear rate affects other deserving product qualities such as surface finish and job profiles. In this research tungsten carbide coated hard metal inserts were used instead of conventional CBN or diamond tipped tools, which are of higher in price margin. The study comprised of Taguchis L9 orthogonal array, which was advised by previous researchers as good tool for optimisation. MQL and MCFA assisted experimentation were performed with same cutting conditions, which were then again compared with dry hard machining and wet machining. Influence of each input parameters where critically evaluated using ANOVA. The results revealed that a promising reduction in tool wear was noticed in MCFA assisted hard machining. 2020, Springer Nature Singapore Pte Ltd. -
Strengthening the Security of IoT Devices Through Federated Learning: A Comprehensive Study
There is a strong need for having an operative security framework which can help in making IoT (Internet of Things) devices more secure and reliable which can further protect from adversarial intrusions. Federated Learning, due to its decentralized architecture, has emerged as one of the ideal choices by the research practitioners in order to protect sensitive data from wide IoT-based attacks like DoS (Denial of Service) attack, Device Tampering, Sensor-Data manipulation etc. This paper discusses the significance of federated learning in addressing security concerns with IoT (Internet of Things) devices and how those issues can be minimized with the use of Federated Learning has been deliberated with the help of comparative analysis. In order to perform this comparative analysis, we investigated the published work in FL based IoT application for the last five years i.e., 2018-2022. We have defined a few inclusion/exclusion criteria and based on that we selected the desired paper and provided a comprehensive solution to IoT based applications using FL approach. Federated learning offers an optimistic approach to intensify security in IoT environments by enabling collaborative model training while preserving information privacy. In this paper a framework named Federated AI Technology Enabler (FATE) has been envisaged which is one of the recommended frameworks in safeguarding security and privacy measures of IoT devices. 2024 IEEE. -
Vessel turnaround time reduction in ports: An automated lean approach
Vessel turnround time is a vital factor that determines the efficiency of ports and consequently the trade competitiveness of a country. The goal of this research is to identify the factors leading to vessel turnaround time and suggest methods to increase the operational effectiveness. The research involves gathering data, analysis of the procedures for documentation and cargo handling, analysing the historical turnaround time, the reasons or causes contributing to idle time, identifying the root causes and proposing a solution that could contribute to the reduction of turnaround time of vessel so as to improve the efficiency of port operations. Some identified factors that contribute to the idle time include inefficient cargo handling and loading and unloading process, delays in documentation and customs clearance procedures, unplanned maintenance or repairs of vessels, harsh weather conditions, insufficient coordination and communication between stakeholders involved. 2024 by IGI Global. -
Coal-Based Fluorescent Zero-Dimensional Carbon Nanomaterials: A Short Review
Carbon nanomaterials (CNs) have fascinated material scientist owing to their outstanding properties, making them potential materials for numerous critical applications. Over the years, scientists have reported several techniques for the production of CNs from distinctive precursors using various top-down and bottom-up approaches. Coal is being proven as an inexpensive, abundant, and effective carbon source for harvesting CNs with unique characteristics, properties, and high production yield. CNs derived from coal exhibit excellent fluorescence property, which can be tuned by varying the degree of oxidation, particle size, surface functionalization, etc. The fluorescent coal-derived CNs are effective materials for label-free bioimaging and selective sensing applications. In this review, we encompass the synthesis of different kinds of CNs from coal, their fluorescence properties, proposed fluorescence mechanisms, factors affecting fluorescence property, and fluorescence sensing and bioimaging applications. 2020 American Chemical Society. All rights reserved. -
Cost-effective route to nanodiamonds from low-rank coal and their fluorescent & dielectric characteristics
The synthesis of nanodiamonds from abundant and inexpensive precursors has recently piqued the curiosity of researchers. It has the potential to significantly reduce the cost of nanodiamonds and open up a plethora of new applications. In this work, fluorescent nanodiamonds with smaller particle sizes with rich surface functionality are synthesized from low-grade coal lignite by employing a facile acidic oxidation and ultrasonication approach. The extracted nanodiamond particles are hydrophilic and display high excitation-dependent fluorescence in the aqueous medium. The excitation-dependent fluorescence can be ascribed to the collaboration and competition of the OH and COOH functional groups. The as-synthesized nanodiamonds also show good dielectric permittivity and ac conductivity over a wide frequency range at room temperature. The present research opens up the possibility of mass production of nanodiamonds on the industrial scale from a low-cost precursor. 2021 -
Zagreb Radio Indices and Coindices
Zagreb radio index or coindex of a graph is defined based on the optimal radio labelling of the graph, where optimal refers to the labeling with a span equal to the radio number of the graph. We have defined the first and second Zagreb radio coindex, third Zagreb radio index, and coindex and calculated its value for some famous graphs. Furthermore, we established a certain relationship between Zagreb radio indices and the coindices of graphs. 2021 by the authors. -
Upper Bounds of Zagreb Radio Indices
Let G= (V, E) be a simple connected graph with vertex set V and edge set E. This chapter consists of several bounds of the Zagreb radio indices of graphs such as the Primary Zagreb Radio Index, the First Zagreb Radio Index, the Second Zagreb Radio Index and the Third Zagreb Radio Index. The indices are defined for graphs after administering a radio labelling. In radio labelling, vertices are labelled with the positive integers such that the absolute difference of two vertex labels added to their distance should be at least one more than the diameter of the graph. In radio labelling, every vertex gets distinct labels. The least possible labels given to the vertices are used to create the radio indices. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
Consecutive Radio Labelling of Graphs
Radio labelling or radio colouring is an assignment of positive integers to the vertices of a graph such that the difference between labels of any two vertices must be at least one more than the difference between the diameter of the graph and the distance between the vertices themselves. A graph G admits consecutive radio labelling when the radio number of the graph equals the order of the graph. In this paper, we study certain graphs admitting consecutive radio labelling and identify certain properties of such graphs. Moreover, we characterize the graphs with diameter two admitting consecutive radio labelling and examine certain properties of the labelling under some graph operations. 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
Optimizing Antenna Structures for 60 GHz Systems Microstrip Patch vs Microstrip Slot
This paper conducts a thorough comparison between microstrip patch and microstrip slot antennas for 60 GHz wireless communication systems, excluding the meander line antenna. The design process involves meticulous selection of substrate material, antenna geometry, and feed mechanism to achieve a compact, efficient, and wideband antenna suitable for 60 GHz applications. Performance analysis, based on theoretical derivations and HFSS simulator simulations, covers key parameters like radiation pattern, gain, and bandwidth. Results demonstrate that the proposed microstrip antenna meets 60 GHz system requirements, indicating potential for further optimization. The study highlights the unique advantages and disadvantages of each antenna structure, emphasizing that selection should align with specific application needs. This comparative analysis aids researchers and engineers in making informed decisions regarding the most suitable antenna structure for their 60 GHz wireless communication requirements. 2024 IEEE. -
Performance analysis of antenna with different substrate materials at 60 GHz
With a tremendous demand on data rate and bandwidth utilization in RF communication systems, current research studies leads to explore the millimeter-wave unlicensed 57-64 GHz bandwidth of electromagnetic spectrum. This high frequency band is not channelized for long distance communication. However, it could be efficiently utilized for indoor and short range digital communication transmission systems for enhanced data rate and bandwidth utilization. This paper focused on designing antenna that utilizes 60 GHz frequency which falls under this spectrum by using different substrate materials such as like RT Duroid, FR4 Epoxy, Rogers RO3010 and GaAs for Rectangular Microstrip Antenna (RMSA). This research paper presents a detailed analysis on performance parameters comparison like gain, VSWR, return loss & radiation pattern analysis for the 60 GHz antenna designed with substrate materials having different properties. 2017 IEEE. -
Survey on Microwave frequency v Band: Characteristics and challenges
This paper presents the characteristics of V band frequency range of Microwave band in electromagnetic spectrum. The paper also identifies the challenges using this band in applications. The lower microwave frequency band of 2-3 GHz is used in wireless applications. Wi-Fi, Wi-Max and cellular frequencies are quite familiar using in the lower band of microwave frequency band. However, the congestion of the frequency band in this lower frequency band invoked researchers to think a higher frequency microwave band lies between 57 GHz-64 GHz band. The wireless application can utilize this unlicensed frequency band. However signal absorption, fast fading of signals in long range communication, also transceiver design architectures complexity pose great challenges in this higher band. Applications of short range such as military applications utilize this band. However, thinking a new dimension of characteristic features of microwave upper band is the focus of this paper. This paper tells the V Band, that is upper band of microwave range frequencies (57 - 64 GHz). 2016 IEEE. -
Does technology drive supply chain visibility? Evidence from the FMCG sector in India
Success and efficiency of today's business depends on many factors across various industries. Among the many factors, supply chain plays a crucial role. The well-functioning of distribution system may lead to customer satisfaction, cost reduction, risk management, competitive advantage, collaboration and integration, innovation and adoptability and sustainability. Adopting technology in supply chain systems is another way of increasing business growth in the present era. The technologies used in today's business organizations are blockchain, internet of things (IoT), cloud technology, etc. To what extent technology is used to improve supply chain visibility in business is a matter of concern. With this background, the study aims to explore the relationship and impact of different technology on supply chain visibility in fast moving consumer goods sector. To meet the objective of the study, the study chose the top 20 FMCG companies based on highest market share and collected the data from 20 supply chain managers. The variables considered for the study were internet of things (IoT), blockchain, artificial intelligence (AI), radio frequency identification (RFID), cloud technology and information technology. relevant statistical analysis was used to prove the results and it is evident that technology positively correlates with the supply chain visibility. Artificial Intelligence has the most significant impact on the supply chain visibility of a firm. Hence, there is a significant impact of technology on supply chain visibility and the extent impact is high. 2024, IGI Global. All rights reserved. -
Exploring the role of social media influencer marketing in the tourism sector
The growing popularity of social media influencers (SMI) increasingly encourages destinations to use social media influencer marketing (SMIM) for their promotional campaigns. SMIs demonstrate the power of an individual based on certain factors employed to influence a broad segment of audience, and when it is used for marketing purposes, it is known as SMIM. SMIM is a part of the social media marketing that exercises all the commercial marketing techniques via social media channels. SMIM has impacted many industries including tourism, but looking at the progressive growth of SMIM today, it is surprising that such little attention had been paid to this area. However, while there is increasing use of SMIM by tourism organizations, there is a lack of research and limited knowledge on the roles of SMIM in travel and tourism. This chapter sheds light on the use of SMIM in the tourism sector where existing literature on the SMIM, its factors, and the influence of SMIM on the tourism sector by distinct authors are reviewed to identify the effectiveness of SMIM in the travel and tourism industry. 2023, IGI Global. All rights reserved. -
Exploring the role of social media marketing in the education sector
The educational system across the world is undergoing a transition and is affected by numerous factors encompassing technology to psychology. The traditional model of face-to-face teacher-led learning approach has been gradually shifted to student-centric and outcome-based learning. Though the intellect and learning capacities among students differ in many aspects, personalized attention of the teacher to student and practical exposure to subjects are considered as few significant areas of concern in curriculum and pedagogy. The late 2000s witnessed the dawn of many EdTech companies proclaiming personalized attention and experiential learning through online platforms. EdTech companies make fine use of social media marketing and adopt well-thought-out strategies to reach out to the student segment and parents. The prime objective of this chapter is to study the role of social media marketing strategies in capturing student segments and the influence that makes on parents' purchase decisions. 2022, IGI Global. All rights reserved. -
ENVIRONMENTAL JURISPRUDENCE IN INDIA: A JOURNEY TOWARDS ATTAINING ECO-CENTRIC IDEALS
Environmental Law has had a long, arduous journey in India, but has been able to keep up with the many changes that have taken place, around the globe, and has helped shape India's environmental legal regime. By tracing the growth of environmental law, through different ages, and by highlighting some of those factors, which have contributed immensely to its growth, the idea is to identify certain false grounds and figure out ways to make environmental law more effective. By looking at it through a sociocultural lens, the aim is to examine as to whether culture, tradition and rituals can be imbibed into law or given a legal recognition, and thereby giving more power to law. The development of Earth Jurisprudence principles and the way in which it is sought to be imbibed in India and the challenges that it faces too are discussed. 2022 Universitat Rovira i Virgili. All right reserved. -
The machine learning algorithms for data science applications
It is going to be data-driven insights and insights-driven decisions and actions for the total humanity. Data is being recognized as the new fuel for any individual, innovator, and institution to envisage and deliver smart and sophisticated services to its clients and customers. Data is being touted as a strategic asset for any enterprise to insightfully plan ahead and provide next-generation offerings and premium services with clarity and confidence. Newer products and solutions can be unearthed and deployed to assist humans in their everyday decisions, deals, and deeds. However, for data to be overwhelmingly beneficial, data getting garnered from multiple places have to be transitioned into information and knowledge. The process for enacting this strategically sound transformation is being continuously updated and upgraded for achieving the required optimization. That is, process excellence is gaining the attention of professors and professionals. Further on, there are scores of automated tools and enabling platforms for empowering this transition activity. Data analytics is being touted as the prime method to extract actionable insights out of data heaps. In the recent past, with the flurry of artificial intelligence (AI) algorithms, frameworks, libraries, platforms, accelerators, specialized engines, and highperformance processing architectures, AI-enabled data analytics is seeing the reality. Data science is the fast-emerging and evolving domain of study and research for finding viable ways and means that can simplify and streamline the activity of emitting hidden and useful knowledge out of data volumes. In this chapter, we want to dig deeper to spell out the strategic implications of data science technologies, tools, platforms, and infrastructures. Especially how machine learning (ML) algorithms are influencing the futuristic field of data science. The Institution of Engineering and Technology 2022. -
Mental health through forgiveness: Exploring the roots and benefits
Forgiveness is conceptualized as the process of making peace with life. The three sources of forgiveness, another person, oneself, and a situation or circumstance are capable of freeing a person from a negative association to the source that has transgressed against a person. Research studies show the mental health benefits associated with forgiveness. The present study explores the experiences of adults who practice forgiveness, specifically, the indicators of forgiveness, the childhood antecedents, and the benefits of forgiving behavior. The study uses a qualitative research approach following a phenomenological framework. A total of 12 adults, ranging from 25 to 40 years of age, who received a high score on Heartland Forgiveness Scale were included in the study. Using semi-structured in-depth interviews, their personal experiences were explored. The data were analyzed using thematic analysis. The themes emerged show that the childhood antecedents of forgiveness are parental influences and early childhood experiences. The indicators of forgiving behavior include positive emotional state, empathy and perspective taking, and religiosity. The themes identified are enhanced sense of well-being, improved self-acceptance, and competence to deal with challenges. Forgiveness enhanced physical and psychological well-being. The findings of the study have several implications for religious leaders, teachers, parents, mental health professionals, and trainers. 2016 The Author(s). This open access article is distributed under a Creative Commons Attribution (CC-BY) 4.0 license. -
Industry automation: The technologies, platforms and use cases
This book details cutting-edge technologies, versatile tools, adaptive processes, integrated platforms, and best practices of digitized systems. With the faster maturity and stability of digitization and digitalization technologies, all kinds of physical, mechanical, and electrical systems in our everyday environments (homes, hotels, hospitals, manufacturing floors, etc.) have become digitized systems. Such technology has empowered systems to gain the power to join and contribute to fulfilling the goals of modern computing. Such digitized entities assist in producing and deploying hugely complicated yet sophisticated context-aware services and applications. The other principal contribution is capturing environmental data in real time and enabling local data processing to bring forth actionable insights. This facilitates insight-driven decisions and deeds. Precisely speaking, the aspects of real-time knowledge discovery and dissemination enable the creation and delivery of real-time and real-world features and functionalities. All industrial artifacts are being digitized, connected and empowered to be cognitive in their operations, offerings and outputs. By smartly leveraging a dazzling array of digital technologies and tools, the interaction and collaboration with human experts becomes hugely simplified and speeded up considerably. Such cognition- enabled industrial machineries, equipment, appliances, assembly lines, robots, vehicles, drones, and other assets collectively provide an intelligent environment to envisage and realize state-of-the-art industry 4.0 and 5.0 applications. Every industrial process gets optimized and automated to produce next-generation products to ensure customer delight, to explore fresh avenues to enhance revenues and to embark on higher productivity. In addition, there are chapters illustrating industrial use cases, infrastructure optimization, technology assimilation, and AI-powered data analytics towards industry automation. 2024 River Publishers. All rights reserved.