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Electrochemical behavior of cast and forged aluminum based in-situ metal matrix composites
The present work focuses on the electrochemical behaviour of Al6061 alloy and Al6061-TiB 2 in-situ metal matrix composites. Al6061-TiB 2 in-situ Composites were synthesized by a stir casting route at a temperature of 860C using potassium hexafluorotitanate (K 2 TiF 6 ) and potassium tetrafluoroborate (KBF 4 ) halide salts. Percentage of TiB 2 was kept at 0 wt% and 10wt%. The cast Al6061 alloy and Al6061-TiB 2 composites (0wt% &10wt %) were subjected to open die hot forging process at a temperature of 500C. Both cast and forged Al6061 alloy and its composites were subjected to micro-structural and electrochemical characterization. Corrosion behaviour of alloy and composites in both cast and forged conditions were evaluated using electrochemical impedance spectroscopy and the results were backed up by a potentiodynamic polarization test. Results indicate that addition of TiB 2 particles increases the corrosion rate and reduces the polarization resistance of aluminium alloy in both cast and forged condition owing to galvanic coupling between the reinforcements and base metal. Further, when compared with cast alloy and its composites, forged alloy and its composites exhibited poor corrosion resistance under identical test conditions. 2019 Author(s). -
A Comprehensive Study on Parametric Optimization of Plasma-Sprayed Cr2C3 Coatings on Al6061 Alloy
Plasma spray, a widely employed thermal spray method, is known for enhancing coatings with heightened microhardness, density, and bonding strength. In this study, Taguchis approach was applied to optimize processing parameters for plasma spray-coated surfaces, aiming to reduce porosity, increase hardness, and fortify the connection between Cr2C3 coatings. The design of experiments method facilitated the optimization of process parameters, utilizing signal-to-noise ratios and ANOVA analysis to assess the significance of each processing parameter and identify optimal parameter combinations. Powdered feed rate and stand-off distance emerged as the two most critical processing variables influencing permeability and hardness, contingent on signal-to-noise ratios. S/N ratio analysis was employed to determine the optimal processing parameters for permeability, hardness, and bonding strength. For porosity, the optimal stand-off distance, powdered feed rate, and current density were identified as 60rpm, 50g/min, and 460ampsmm/s, respectively. Exemplary process conditions for hardness included a powdered feed rate of 60g/min, a stand-off distance of 80rpm, and a current density of 480 amps. Lastly, for strength properties, the ideal process variables were a stand-off distance of 80rpm, a current density of 480amps, and a powdered feed rate of 60g/min. Despite small differences between projected R2 and modified R2 values in statistical data on permeability, hardness, and bonding strength, the proximity to the one emphasizing the fit of the linear regression used for analysis was evident. Fracture results from the binding strength test postulate mixed adhesion-cohesion type failures in the Cr2C3 coatings. The Institution of Engineers (India) 2024. -
Investigations on Slurry Erosive on Wear Performance of HVOF-Sprayed Cr2O3 Coatings on Aluminum Alloy
The slurry erosion behavior of thermally sprayed Cr2O3 coatings on Aluminium alloy is evaluated in the current research. By employing a high-velocity oxy-fuel (HVOF) spraying process, Cr2O3 coatings were deposited on the Aluminium 6061 alloy. Microhardness, as well as microstructure of the coatings, were explored to analyze the developed coatings. Slurry erosive wear experiments have been conducted by varying the conditions of the slurry erosion process, such as test duration, slurry concentration, slurry speed, and size of impinging particles, on the erosion test rig. The outcome has shown that with an increase in slurry concentration, slurry speed, and impinging particle size, the slurry erosive wear loss increases. By utilizing 3D confocal microscopy and scanning electron microscopy, the wear mechanisms of uncoated and Cr2O3-coated samples have been examined. 2021, The Author(s), under exclusive licence to Springer Nature Switzerland AG. -
Experimental Investigations on Erosion-Corrosion Characteristics of HVOF-Sprayed WC-10% Ni Coatings Deposited on Aluminum Alloy
The current work investigates the erosion-corrosion behaviour of thermally sprayed tungsten carbide-10% nickel (WC-10% Ni) coatings placed on the AA6061 aluminum alloy. The AA6061 aluminum alloy was coated with tungsten carbide -10% nickel coatings utilising a high-velocityoxy-fuel (HVOF) spray method. The microstructure and hardness of thermally sprayed coatings were examined using a scanning electron microscope (SEM) and a Vickers hardness tester. The slurry erosion-corrosion wear tests were carried out by varying the parameters of the slurry erosion process, such as testing time, slurry content, slurry speed, and impinging particle size, on the erosion testing equipment. The data demonstrated that when slurry concentration, slurry speed, and impinging particle size increased, so did the slurry erosion-corrosion wear loss. The wear processes of uncoated and thermally sprayed tungsten carbide -10% nickel have been examined using SEM and a 3-D confocal microscope. Copyright 2023 G. S. Pradeep Kumar et al. -
Features of Vitamin Model Affecting Psychological Empowerment: Serial Mediation Role of Job Crafting and Work Engagement
The current research aimed to investigate the association between the variables under the study, that is, the vitamin model features of a job: job crafting, work engagement, and psychological empowerment. It also attempted to analyze the serial mediational role of the two causally linked mediators, that is, job crafting and work engagement with the job features of the vitamin model and psychological empowerment. By investigating these variables, we tried to explore how the employees redesigned the well-defined jobs to match their capabilities, which enhanced commitment to work and led to positive behavioral outcomes, such as empowerment, work meaningfulness, and improved performance. Primary data were collected from 453 knowledge workers in the information technology (IT) and information technology-enabled services (ITES) industry. Using SPSS software, the correlation method revealed significant positive correlations between the variables under study. PROCESS macro (Haynes, 2012) was applied in SPSS AMOS regression-based path coefficients and bootstrap confidence intervals at a 95% confidence level. As the bootstrap confidence intervals did not include zero, a significant mediational role of the serial mediators was observed between the relationship of features in the vitamin model and psychological empowerment [Estimate =.0761, 95% CI (.0257,.1902)]. So, it could be concluded that job crafting made the employees the mechanic of their vehicle (work), leading to work engagement, increased performance, and psychological well-being at the workplace. 2022, Associated Management Consultants Pvt. Ltd.. All rights reserved. -
Job Crafting: A Systematic Review and Meta-Analytical Relationships with Precursors and Work Outcomes (2001-2021)
Meta-analysis and SEM (structural equation modeling) were used to investigate the relationship between job crafting, job characteristics, work engagement, and job performance. We used random effects of meta-analysis to statistically integrate 199 primary studies and structural equation modeling to examine the assumed moderation through gender and educational levels using Stata: Version 16.0 software. We also ran an exploratory moderator analysis to see any systematic differences in the relationships. The findings revealed that job performance and job characteristics were positively and significantly related at the 1% level, as were job performance, job crafting, and work engagement. All were positively and significantly related at the 1% level. Work engagement and job crafting, too, were positively correlated and statistically significant at the 1% level. Furthermore, p < 0.05 for gender and p < 0.10 for educational level indicated that educational level and gender moderated the relationship between job performance, work engagement, job characteristics, and job crafting significantly. Cronbachs alpha was used to conduct the reliability test, which indicated a good (0.8 < a < 0.9) and excellent (0.9 < a) internal consistency because Cronbachs alpha was more significant than the 0.6 thresholds, and the validity indicated that the model was adequate. 2022, Associated Management Consultants Pvt. Ltd.. All rights reserved. -
Real-time Traffic Prediction in 5G Networks Using LSTM Networks
This research explores the application of Long Short-Term Memory (LSTM) networks for real-time traffic prediction within 5G networks, aiming to address the critical need for accurate prediction models in dynamic network environments. Leveraging the sequential learning capabilities of LSTM networks, the proposed methodology encompasses dataset preparation, model architecture design, training, and evaluation. Experimental results demonstrate the effectiveness of the LSTM-based prediction model in capturing temporal dependencies and providing reliable predictions across various prediction horizons. While promising, further research is warranted to enhance the model's performance and address remaining challenges. This study contributes to advancing the state-of-the-art in traffic prediction methodologies, facilitating more efficient network management and optimization in 5G environments. 2024 IEEE. -
Innovations in teaching-learning and evaluation: An overview of processes undertaken at CHRIST (Deemed to be University)
The term 'teaching-learning' intrinsically expresses the ongoing learning process that every educator constantly experiences; to teach is to learn and to engage in knowledge updation continually. Indeed, it may be argued that the very basis of being a teacher is the facilitation of one's own learning opportunities and skill sets. In investigating the evolution of teaching-learning processes at CHRIST, one may define the university's growth using the key concept of 'innovation '. Whether it be the humanities, social sciences, life sciences, or business studies, innovations in teaching-learning methods are imperative in any globally conscious education system today. Two of the key areas of focus in terms of innovations in the teaching learning process are the practical application of knowledge and learnt skills. 2021, IGI Global. -
In-Depth Review of Microeconomic Analysis of Business Tourist Spending
Most prior research used tourist arrivals to examine international tourism demand. However, tourist arrival is not an accurate factor to determine international tourism demand as it does not show the actual spending pattern of tourists which includes goods and services purchased. Literature has proven that business tourists always spend more than leisure tourists; thus, tourist expenditure is an essential measure of international tourism demand. For the current research, we summarised 31 studies to review several variables that could affect tourism demand and expenditure. The current research concludes that microeconomic modelling should be the focus and given priority for studying tourism demand and the factors that affect business tourist expenditure. The Author(s) 2018. -
Mid-career dilemmas of female academics: An Indian perspective
Historically, many studies have shown discrimination, bias, and barriers for women entering leadership roles in Indian institutions of higher education. The objective of the present .study is to understand the mid-career dilemma of Indian women leaders based on their personal experiences. The study follows a phenomenological approach. The phenomenological approach as a qualitative research methodology provides for analysing the subjective experiences of individuals and their interpretations of these experiences. Data for the study were collected using a structured questionnaire. The study aggregates the views of women leaders and understands the challenges they face in pursuing their careers and maintaining their leadership roles. The study explored the transitions experienced by women through the ages, and hence, a qualitative paradigm with thematic analysis provided a better scope for understanding the experiences of women leaders. 2022, IGI Global. All rights reserved. -
Proposal of smart home resource management for waste reduction and sustainability using AI and ML
A research indicated that electricity is obliterating extra non-renewable sources for its production. In that, as per Centre for Policy Research (CPR), about 25% of the total production is diverted to meet the daily consumption in an Indian household. Not only this but also, waste management has become an important issue to deal with. According to Municipal Solid Waste (MSW) of India, waste generation in Indian urban communities extends between 200 - 870 grams per day, contingent on the localities' standard of living and the area of the city. Therefore, in this paper we propose a concept that focuses on a sustainable solution using Artificial Intelligence and Machine Learning algorithms for waste and carbon footprint reduction in a home. This concept explains a solution availed with the help of a proposed model called Home Resource Management (HoReM) that is imbibed in a Smart home. 2019 IEEE. -
A Proposal of smart hospital management using hybrid Cloud, IoT, ML, and AI
There has been a rapid shift in the medical industry from the service point of view. More importance is being given to patient care and customer satisfaction than ever before. The need to keep the customers happy with the hospital's service has increased rapidly and one way they can improve a patient's experience, even more is if they integrate cloud, IoT, ML, and AI into their system. This would help the medical sector to achieve customization which would enable them to address the needs of their customers more efficiently and offering personalized solutions. In this paper, we are proposing a novel model which focuses on a smart hospital information management system that runs by using hybrid cloud, IoT, ML, and AI. This system would be beneficial not only from the hospitals perspective but also from the patient's side as well. Patients and doctors unique ID would make the entire process a lot more efficient and easier. The advances happening in the field of AI and ML due to cloud-based computing is extremely beneficial for the medical industry. By integrating these components along with IoT it is possible for multi-specialty hospitals and super specialty hospital to be able to set up a smart hospital information management system. 2019 IEEE. -
Optimization of Friction Stir Welding of AlCu Butt Joint Using Taguchi Method
In this work, the 5mm thickness of base metals AA6101 and C11000 was welded using a hardened OHNS steel tool by FSW mechanism. The Taguchi method involves the optimization of welding mechanism variables tool rotation speed (rpm), feed rate (mm/min), and tool offset (mm) to gain extremely rigid joints. The ANOVA reveals the percentage contribution of the three welding mechanism variables can be examined. From the Taguchi design of optimization technique, at 1000rpm, 40mm/min, andtool offset towards softer metal will possess maximum impact load. The tools rotating speed produced the greatest contribution to the impact load. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. -
Optimization of Friction Stir Welding Parameters for the Optimum Hardness of AlCu Butt Joints Using the Taguchi Method
In the present study, the base plates made of alloys AA6101 and C11000 (each 5 mm thick) were welded bythe FSW technique using a hardened OHNS steel weld tool. The percentage contribution of the input process parameters, such as tool rotational speed in rpm, feed rate in mm/min, and tool pin offset in mm, on the output parameter joint hardness, were examined using the experimental design Taguchi L9 and ANOVA numerical tool analysis. From the optimization method, at 1000rpm tool rotational speed, 40mm/min feed rate and weld tool pin toward AA6101 alloy side will have the highest hardness. The tool rotational speed experiences a maximum significant impact on the joint hardness. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. -
Synthesis of Magnetorheological fluid Compositions for Valve Mode Operation
Smart materials such as Magnetorheological Fluids (MRF) have become sought-after material in wide ranging applications due to the ability to change properties in a controlled manner under application of stimulation such as a variable current, magnetization, heat, force, stress and deformation. Magnetorheological fluids in the rheological fluid domain has found use due to its ability to change its shear strength based on the applied magnetic field. Magnetorheological fluids are composed of magnetizable micron sized iron particles and a non-magnetizable base/carrier fluid. The shear strength of commercially available MRF varies from 0 to 100kPa under the effect of the magnetic field. In a valve mode, the Magnetorheological damper (MR Damper or MRD), the MR fluid flows between two-fixed poles, which are parallel to each other. When the fluid flows between them, due to the applied magnetic field the magnetic particles align themselves in a chain form (on state) which is easily reversible when the field is removed (off state). Physical change of the fluid from liquid to semi-solid is controlled by the magnetic field, which makes the fluid a reliable member in active vibration control applications. In this study, two types of magnetizable particles (Carbonyl iron (CI) and Electrolytic iron (EI)) are taken and characterized using an Anton Paar MCR 702 rheometer set-up, in on and off states. To overcome issues like sedimentation, agglomeration and corrosion of the MR fluid, the iron particles are coated with natural gum like guar and xanthan, to the carrier fluid grease and other thixotropic additives are added. The addition of grease and thixotropic additives will inhibit the microbiological degradation of natural gum over an extended period. These engineered MR fluids are then used to analyze the performance of designed and developed stand-alone MR damper, which is tested using an electro-dynamic shaker. The response and damping performance of the MR Damper is analyzed with controlled changes in variables including percentage of additives in MR fluid & magnetization values 2019 Elsevier Ltd. -
A review of challenges and solutions in the preparation and use of magnetorheological fluids
This review of MRF (magnetorheological fluids or MR fluids) brings out the challenges in methods of preparation, difficulties encountered in storage and use, and possible solutions to overcome the challenges. Magnetorheological fluid in the rheological fluid domain has found use due to its ability to change its shear strength based on the applied magnetic field. Magnetorheological fluids are composed of magnetizable micron-sized iron particles and a non-magnetizable base or carrier fluid along with additives to counter sedimentation and agglomeration. Magnetorheological fluids can respond to external stimuli by undergoing changes in physical properties thus enabling several improved modifications in the existing technology enhancing their application versatility and utility. Thus, magnetorheological fluid, a rheological material whose viscosity undergoes apparent changes on application of magnetic field, is considered as a smart material. Such materials can be used for active and semi-active control of engineering systems. Many studies on the designs of systems incorporating MR fluids, mainly for vibration control and also for other applications including brakes, clutches, dynamometers, aircraft landing gears, and helicopter lag dampers, have emerged over last couple of decades. However, the preparation as well as the maintenance of magnetorheological fluids involves several challenges. Sedimentation is a major challenge, even when stored for moderate periods of time. A comprehensive review is made on the problems confronted in the preparation of magnetorheological fluids as well as sustenance of the properties, for use, over a long period of time. Other problems encountered include agglomeration and in-use thickening (IUT) as well as rusting and crusting. Of interest is the mitigation of these problems so as to prepare fluids with satisfactory properties, and such solutions are reviewed here. The control of magnetorheological fluids and the applications of interest are also reviewed. The review covers additives for overcoming challenges in the preparation and use of magnetorheological fluids that include incrustation, sedimentation, agglomeration, and also oxidation of the particles. The methodology to prepare the fluid along with the process for adding selected additives was reviewed. The results showed an improvement in the reduction of sedimentation and other problems decreasing comparatively. A set of additives for addressing the specific challenges has been summarized. Experiments were carried out to establish the sedimentation rates for compositions with varying fractions of additives. The review also analyzes briefly the gaps in studies on MR fluids and covers present developments and future application areas such as haptic devices. 2019, The Author(s). -
Creating and Sustaining Organizations: The Challenges of Sustainability
Global Journal of Finance & Management, Vol-4 (1), pp. 78-81. ISSN-0975-6477 -
Unlocking Credit Default Swaps (CDS) to the retail investors to boost liquidity and minimize risk /
Global Journal of Contemporary Research in Accounting, Auditing and Business Ethics, Vol-1 (1), pp. 40-58. ISSN-2311-3162 -
Climate Change Adaptation Strategies for Achieving Net-Zero Economy
Today, net zero economy is garnering lot of interest as climate change concerns have become one of the most pressing issues for the organizations. The negative impact of climate change (CC) could be witnessed across all industries. The direct risk (i.e. impairment cost, damages, forced closure from extreme weather events) and indirect risk (i.e. disruption in the business value chain, loss of infrastructure, etc.) emanating from CC has severely impacted the business model of the companies. It is important for companies to address climate challenges in their core business model and take climate action for achieving net zero economy. The aim of this study is to explore the impact of various organizational factors on the climate change adaptation strategies (CCAS) of manufacturing companies in India. The data was collected from 241 respondents and structural equation modelling (SEM) through Smart PLS 3.0 was employed for analysis in the study. Results indicated that corporate knowledge, processes, objectives, financial resources, collective knowledge, and incentives significantly influence the CCAS for the companies. The findings provide valuable input to the managers, practitioners, and other stakeholders interested in promoting climate actions and achieving a net zero economy. This chapter contributes to the extant literature in the field of corporate CC strategies and actions. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. -
A node deployment mechanism for energy-efficient routing in heterogeneous wireless sensor networks
Military applications are the primary concern of the wireless sensor networks (WSNs). Efficient target object/event monitoring is a primary goal of military systems in unattended and unmanned areas. Heterogeneous wireless sensor network (HTWSN) is an emerging network for efficient enemy object monitoring in sensitive areas of low cost. The performance of HTWSN is mainly depends on the quality of data transmission and better network lifetime. However, after deployment of HTWSN, the network can experience a serious problem known as path failure. Path failure occurs due to high route overhead, which result poor-quality data transmission and increase the node energy consumption. Path failure results route rediscovery and data packet retransmission. The proposed node deployment mechanism for HTWSN has been minimized the route overhead and improved the path quality, quality data packet transmission by avoid the path failure. The proposed node deployment strategy has given better results in terms of 20 % low node energy consumption, 56 % lower route overhead, 22 % higher network lifetime and 17 % higher data packet delivery ratio than the existing node deployment mechanism of IMCC protocol. 2005 - 2016 JATIT & LLS. All rights reserved.