bluuebunny/crossref_metadata_2025 huggingface dataset:
Sustainably empowered crowdfunding through blockchain-enhanced security technology
Authors: Gottumukkala Prasanthi , Lalitha Y. Sri , Kalyan Pancherpula , Ghandhi Sumer Singh , Gopi Puneeth Thungaturthi , Sharma Nishesh
Published: October 2023

A sustainable crowdfunding smart contract is a specialized type of smart contract that empowers individuals to contribute funds towards a specific work or venture while ensuring ecological and ethical longevity. The smart contract is meticulously programmed to establish the parameters of the crowdfunding campaign, encompassing the total funds requisite for project completion, the quantity of available tokens for acquisition, campaign duration, and token valuation. In alignment with sustainable principles, the contract orchestrates the transparent collection and distribution of funds. It unequivocally designates the blockchain address for fund allocation and delineates how these funds will be equitably apportioned among the project’s development team, thus promoting sustainable practices.Furthermore, the sustainable crowdfunding smart contract features a built-in mechanism to restore funds to contributors in the event that the project fails to achieve its funding target within the stipulated time frame. Upon campaign culmination, the smart contract autonomously dispenses tokens to contributors and allocates funds to the project’s development team, fostering an environment of trust and accountability. This sustainable approach leverages the power of smart contracts to streamline and automate the entire process, assuring contributors that their resources will be judiciously utilized for their intended purpose. A pivotal advantage of this innovative approach lies in the elimination of intermediaries, fostering heightened security for assets through a human-intervention-free programmed process. By combining blockchain technology as the foundational backend and leveraging solidity for smart contract implementation, this sustainable solution exemplifies the pinnacle of accuracy and reliability. Through this seamless integration of technology and sustainability, the paper presents a progressive paradigm in crowdfunding that resonates with environmentally conscious and ethically mindful principles.
Sustainable Multi-Author Writing Style Analysis for Identifying Stylistic Differences Between Authors
Authors: Ganapathi Raju N.V. , Vikas Yadavalli , Ansari Md. Furkhan , Likhith D. , Badoni Himani
Published: October 2023

Natural language processing (NLP) is a sustainable subfield of Artificial Intelligence that focuses on the interaction between computers and humans through natural language. NLP algorithms enable computers to comprehensively understand, interpret, and generate human language, thus facilitating the sustainable analysis and comprehension of vast amounts of textual data. Within the context of sustainable style change detection, NLP algorithms play a pivotal role in analyzing multi-author documents and identifying the points at which authors transition. This sustainable step is critical in authorship recognition as it furnishes a more precise comprehension of which sections were authored by different individuals. A multi-author document’s writing style can evolve over time, and this sustainability can prove invaluable in fields such as forensics, journalism, and literary studies, among others.The sustainable goal of this project is to investigate various NLP methods for sustainable style change detection. By scrutinizing datasets and juxtaposing them with advanced methodologies in the existing literature, the effectiveness of these strategies will be ascertained. The overarching aim of our study is to foster the progress of both the field of NLP research and its sustainable practical applications.
An Efficient, Novel, and Sustainable IoT-Based Approach for Attendance Detection through RFID Module and IR Sensor
Authors: Krihsna P. Gopal , Subbarayudu Yerragudipadu , Rao K. Mythili , Jyoshna V. , Aman Jumaid , Reddy G. Vijendar
Published: October 2023

The maintenance of student attendance at a facility is a challenging endeavor. The attendance is manually inputted, making it easily manipulatable. To effectively monitor and control student attendance in a setting, this research intends to build an intelligent attendance system with a sustainable approach to the problem. This study indicates employing RFID and IR sensors to automatically take attendance. Data can be viewed and stored in a real-time database using RFID (Radio Frequency Identification). The firebase database/google sheets are updated when the student’s card is brought close to the RFID module. Additionally, an IR sensor is employed to keep track of the overall number of students entering and leaving the classroom. It would be useful to know how many students are in the class overall, and how many students are in the class overall would be displayed on the LCD outside the class. The outcomes of the research on student attendance will be communicated to the parents, and the number of students in attendance overall will be forwarded to the higher representatives of the institutions. The system alerts the user if there is any discrepancy between the number of RFID tags scanned and the total number of students present in the classroom. The teacher must manually rectify the attendance error after the disparity in the count reveals the proxy in attendance. Future expansion of this research may include the use of biometrics and face recognition to detect the proxy and open up the possibility for a more sustainable environment.
Investigating the Effects of Advanced Heat Treatment Techniques on the Mechanical Properties of Cast Components
Authors: Singh Bharat , Anupama B. , Kalra Ravi , Dhamija Koushal , Kareem Ali , Kumar Manish
Published: October 2023

This paper presents a comprehensive investigation into the effects of advanced heat treatment techniques on the mechanical properties of cast components. The study employs cutting-edge methodologies, including induction hardening, laser hardening, and cryogenic treatment, to modify the microstructure of various cast alloys. The primary focus is on the impact of these treatments on the hardness, tensile strength, ductility, and fatigue resistance of the materials. The experimental results reveal a significant enhancement in the mechanical properties of the treated components, with notable improvements in wear resistance and structural integrity. The findings also underscore the potential of these advanced heat treatment techniques in extending the service life of cast components, thereby contributing to the sustainability of mechanical systems. This research provides a novel perspective on the optimization of heat treatment processes, offering valuable insights for the design and manufacturing sectors. The outcomes of this study have far-reaching implications for industries that rely heavily on cast components, including automotive, aerospace, and heavy machinery, and pave the way for future research in this critical area of mechanical engineering.
Enhanced Sintering Performance of Ceramic Composites Fabricated by Powder Metallurgy
Authors: Bopanna K.D. , Durga C.S.L. Vijaya , Singh Harjeet , Gupta Nisha , Fouad A. Al-Saady , Nijhawan Ginni
Published: October 2023

In this study, we investigate the enhanced sintering performance of ceramic composites fabricated by powder metallurgy. The sintering process is a critical step in the production of ceramic composites, as it significantly affects the microstructure, mechanical properties, and overall performance of the final product. We employed a novel approach to optimize the sintering parameters, including temperature, pressure, and time, to achieve a uniform and dense microstructure with minimal porosity. The ceramic composites were fabricated using a mixture of alumina (Al2O3) and zirconia (ZrO2) powders, which were ball-milled to achieve a fine particle size distribution. The powders were then compacted and sintered under various conditions to study the effects of sintering parameters on the microstructure and mechanical properties of the composites. The results showed that the optimized sintering conditions led to a significant improvement in the density, hardness, and fracture toughness of the ceramic composites. The microstructure analysis revealed a uniform distribution of the ceramic phases and a reduction in the grain size, which contributed to the enhanced mechanical properties. The findings of this study provide valuable insights into the sintering process of ceramic composites and pave the way for the development of high-performance ceramic materials for various applications, including aerospace, automotive, and biomedical industries.
Characterization of Polymethyl Methacrylate (PMMA) Composites with Graphite
Authors: Lade Jayahari , Kallluri Anil , Baloji Dharavath , Kalpana K. , Sateesh N. , Joshi Kapil , Priyanka Gugulothu
Published: October 2023

PMMA Composites have become the most popular materials due to its excellent strength-to-weight ratio, graphite reinforced for engineering applications. Researchers have used a variety of reinforcements to enhance the mechanical and tribological characteristics of various polymer matrixes, including carbon fiber, glass fiber, and carbon-based nanoparticles, graphite, alumina, silica, silicon carbide, titanium oxide, bacterial cellulose, Nano-cellulose, and zirconium oxide.This project focuses on the characteristics of composites made with graphite reinforcements that are based on polymethyl methacrylate. Die casting was used to manufacture this reinforced composite. To enhance the mechanical qualities (impact strength and hardness), tribological parameters (slide distance, normal load, and sliding velocity are employed for wear rate). Therefore, in this study, greater focus has been placed on on PMMA-based composites with graphite reinforcement.
A Survey (NLP) Natural Language Processing and Transactions on (NNL) Neural Networks and learning Systems
Authors: K. Maithili , Naveen Raja S.M. , Kumar R.P. Ram , Koli Sakshi
Published: October 2023

Natural Language Processing NLP, or Natural Language Processing, is an area of artificial intelligence (AI) that concentrates on the interaction between computers and human language. Its goal is to develop algorithms and models that enable computers to understand, interpret, and generate human language in a meaningful manner. NLP aims to bridge the gap between human language and computer language, enabling computers to process and comprehend natural language data effectively. This field encompasses a range of tasks, including speech recognition, language translation, sentiment analysis, text summarization, question answering, and many others. These tasks rely on machine learning models that are trained using large amounts of annotated data. media monitoring, information retrieval, customer support chatbots, and many other areas where understanding human language is crucial. As research and development in NLP progress, we can anticipate the emergence of more advanced and sophisticated models that will further enhance the capabilities of language processing and understanding by computers. This advancement holds exciting possibilities for human-computer interaction. NLP research has seamless communication and empowering us to extract valuable knowledge from textual data on a large scale. technique employed in the process of multi-criteria decision-making and prioritizing alternatives. Its purpose is to provide a structured method for assessing and ranking different options in the presence of multiple criteria that may conflict with one another. MOORA is widely utilized across various domains, including operations research, engineering, and management. Alternative: Programming language, Linguistic theory, Hardware platform, Knowledge Representation
EV BMS With Temperature and Fire Protection
Authors: Pavan Kumar T.V.V. , Rajendra U. , Varaprasad G. , Suryaprakash G. , Sadanand T. , Awaar Vinay Kumar , Gairola Surya Prakash
Published: October 2023

The rising reception of electric vehicles (EVs) has featured the significance of creating progressed battery the board frameworks (BMS) that focus on security and effectiveness. This theoretical presents an outline of the most recent headways in EV BMS innovation, explicitly zeroing in on temperature and fire security highlights. Temperature the executives assumes a basic part in guaranteeing the ideal presentation and life span of battery frameworks. EV BMS with cutting edge temperature checking and control abilities are intended to moderate the gamble of overheating and warm out of control. These frameworks integrate complex sensors and calculations to constantly screen the battery’s temperature and manage it inside safe cutoff points. Fire assurance is one more significant part of EV BMS plan. Lithium-particle batteries, generally utilized in EVs, are vulnerable to warm out of control occasions that can prompt flames or blasts.
Voltage Regulation in Power Distribution System using Dynamic Voltage Restorer
Authors: Depally Srinivas , Rajendar P. , Naveen G. , Manisha Kumari , Jain Abhishek
Published: October 2023

In the entire power system we are having different levels of voltages. The voltages are depending on the Generation, Transmission and Distribution. In this Different levels the sudden changes of voltages are occur due to various reasons. But the voltage changes at distribution shows the impact on consumers. So to protect the consumers from sudden voltage changes the DVR technique is used. Which is the most popular technique and it gives the best results, here we are taking induction motor as a load for voltage changes three phase short circuit faults are taking. In this paper the proposed system has been modeled and simulated using the MATLAB/SIMULINK environment and simulation results discussed
Optimization of Sustainable Process Parameters of Friction-Stir Welding of Aluminium Alloy by Taguchi Method
Authors: Kumar Sandeep , Kumar Kaushal , Singh Jarnail , Acharya Puja , Bhandari Prabhakar , Vaqur Musheer , Subbiah Ram , Kaur Namita , Baloji D.
Published: October 2023

In the current paper, AA6101-T6 aluminium alloy was subjected to friction stir welding (FSW) utilizing a vertical milling machine. Alloy plates were welded in butt position to provide a virtually flat interface, using a tool shape that was carefully selected. Because of the excessive generation of heat via the tool and workpieces during friction stir welding, substantial deformation in the nugget zone is seen. The mechanical attributes of the base metal at the joint are significantly impacted by an excessive variation in temperature at the weld. In this experiment, mechanical properties-related changes through the FSW process are kept to a minimum to achieve high tensile strength. The tool’s rotating speed (measured in rpm), the workpieces' traverse speed (measured in mm/min), and the tool tilt angle were chosen as the parameters to regulate the weld quality. As a result of its 44% contribution, the rotating speed parameter is shown to be the most beneficial one for stir welding. The metric determining transverse speed contributes the least, at 19%. For effective stir welding, such as high strength welds, defect-free welds, short welding times, low welding costs, etc., it is preferred that the tool rotational speed parameter be concentrated. By using sustainable Taguchi approach to optimize the chosen process parameter, high tensile strength is achieved at the welded connection.
Biogas compression chamber from septic tank: Design and testing
Authors: Emetere Moses E. , Agiobu-Alafun T.L. , Afolalu Sunday A.
Published: October 2023

Biogas has been noted as a steady rising source of sustainable energy, but very few are aware of its innate potential and how to efficiently harness its energy. So far, issues of sustainability have been solved via the use of human waste, which can never be depleted. The commercialization and adaptability of biogas from human waste depend on the adoption of the usual septic tank and an efficient technology to enhance biogas quality. In this project, the design and construction of an efficient biogas compression system were proposed. This system is meant to compress the biogas for storage and commercial activity. It was observed that the extraction and enhancement chambers of the construction had >60% improvement. It is recommended that further work be carried out on the full automation of the system proposed.
Study of the Moment of Drag and Lift on Different Air-foil Shapes and Thickness During Wind Tunnel Application: A Review
Authors: Ughapu Emmanuel I. , Adaramola Bernard A. , Oke Wasiu , Okokpujie Imhade P.
Published: October 2023

An experimental facility called a wind tunnel is used in aerodynamics to investigate how air behaves when it passes through solid things like wings or automobile bodies. Researchers can evaluate an object’s aerodynamic characteristics under many circumstances by producing a controlled airflow, including as variations in velocity, attack angle, or atmospheric pressure. The emergency of 3D computer simulation of the performance parameters of an airfoil which is characterised by optimisation and digital technology, are combined for easier determination of the aerodynamic characteristics of a chosen airfoil for better and effective lift and drag coefficient through computational simulations using software like ANSYS etc. The aim is to study the effect of lift and drag on different air-foil shapes and thicknesses at different angles of attack using experimental and wind tunnel applications for better validation. The study also reviewed work that cut across the effect of the different airfoil shapes and thickness in a wind tunnel experiment, drag force, lift force and numerical methods employed for wind tunnel experiment. This technological advancement is not without its difficulties and challenges, also discussed as possible solutions. The study further suggested integrating emerging technologies by using cutting-edge tools like machine learning and artificial intelligence to speed up the design and analysis of airfoil collaborations between academics and industry to ensure that airfoils foster design. Foster meets industrial standards and enables practical implementations.
Overview and Impact of Maintenance Process in 4th Industrial Revolution
Authors: Monye Stella Isioma , Afolalu Sunday Adeniran , Lawal Sunday Lukeman , Oluwatoyin Ojo Augustine , Adeyemi Adewale George
Published: October 2023

This study offers a thorough analysis of maintenance procedures and how they affect society in the setting of the fourth industrial revolution which is defined by the use of digital technology across a range of sectors, has altered maintenance procedures and brought fresh ideas for enhancing asset management. The maintenance process, which is essential to guaranteeing the smooth operation of modern industrial systems, is an important facet of this transformation. For a better understanding of the process of maintenance in the Fourth Industrial Revolution and its tremendous effects on many industries, productivity together with operational effectiveness, this article first gave a general review of it. Organizations may use the power of digital technology to optimize maintenance procedures, reduce downtime, and increase asset dependability by taking a pro-active and data-driven strategy. The paper also analyse the development of maintenance procedures, considers how new technologies might improve maintenance effectiveness, and explains how these developments affect industrial productivity, dependability, and sustainability. In fourth industrial revolution context, difficulties alongside potential future advances in maintenance procedures are also covered..
Impact of Industry (4.O) in Automobile Industry
Authors: Monye Stella Isioma , Afolalu Sunday Adeniran , Lawal Sunday Lukeman , Oluwatoyin Ojo Augustine , Adeyemi Adewale George , Ughapu Emmanuel Ikechukwu , Adegbenjo Abayomi
Published: October 2023

The emergence of Industry 4.0, characterized by the fusion of cutting-edge technology and digitization, has significantly altered the automotive industry. Automation, data interchange, and digital technology are combined in Industry 4.0 to produce a more productive and adaptable production environment. This technological advancement is not without its difficulties, such as a call for improvement on cybersecurity to prevent online attacks, up skilling and reskilling of industry employees to ensure high level of competencies, to mention a few. The auto industry is moving toward a new paradigm of connected vehicles and intelligent mobility options outside of the production environment thanks to Industry 4.0. With the integration of (IoT) the Internet of Things, cars have become sophisticated devices that can gather, process, and communicate enormous amounts of data. Sensors placed throughout the vehicle provide real-time monitoring of performance, external conditions, and driver behaviour. This increases safety protections, maximizes fuel efficiency, and paves the road for preventative maintenance. This study aims at developing a workforce framework that will help increase organizational effectiveness within the industry 4.0 paradigm. It also provides recent views on the development of the automobile industry due to Industry 4.0 incorporation, the perceived and current difficulties and possible solutions to identified challenges.
Impact of Maintenance on Machine Reliability: A Review
Authors: Salawu Enesi Yekini , Awoyemi Olanrewaju Olaniyi , Akerekan Opeyemi Ernest , Afolalu Sunday Adeniran , Kayode Joseph Friday , Ongbali Samson Oyaka , Airewa Innocent , Edun Bose Mosunmola
Published: October 2023

This review investigates the impact of maintenance methods on machine reliability, focusing on their relationship with overall performance, durability, and availability. It emphasizes the importance of proactive maintenance, such as preventive maintenance, to identify and treat potential issues before they become significant failures. The review also examines the effectiveness of various maintenance procedures in enhancing machine reliability, examining the cost-benefit ratio of maintenance programs and the potential savings gained through improved reliability. The review highlights the role of maintenance methods in limiting risks and enhancing performance, emphasizing the importance of proper maintenance practices in ensuring smooth operations and reducing downtime.
Experimental Analysis to Enhance the Performance of Shell and Tube Exchanger With Ribs
Authors: Rambabu Palivela , Srikanth Tayi , Anusha Poodipeddi , Jyothi Bondu
Published: October 2023

Heat transfer has always been a significantly interesting topic with an eye towards developing highly efficient, inexpensive & light weight Heat Exchangers. This project is about enhancement of heat transfer through ribs. Ribs are an efficient & economic tool in heat transfer enhancement which can be used as an obstruction to fluid flow in order to promote turbulence, which would result in comparative increase in the amount of fluid particles coming in contact to the surface and also enhances the overall heat transfer coefficient by disturbing the fluid flow that would break thermal & viscous boundary layers. As a consequence of this, there will be a significant improvement in the Effectiveness of a Heat exchanger. In this study, a Shell & tube heat exchanger is designed, fabricated and also analyzed, where numerous tests are carried out with varying the number of Ribs utilized in the heat exchanger, in order to obtain a substantial increase in: i) Effectiveness ii) Overall Heat transfer coefficient.
Determination of Optimum Process Parameters of the Drying Rate of Cassava Samples Using the Square Design Method
Authors: Okeke C.L. , Onokwai A.O. , Okokpujie I.P. , Okonkwo U.C. , Adeoye A.O.M. , Tartibu L.K.
Published: October 2023

Drying is the removal of moisture content and other chemical compositions. The study aims to improve the process parameters involved in cassava chip drying. A statistical approach was utilized to evaluate the significance of the drying variables, such as the various cassava species, the drying temperature, and the drying duration, and their influences on the drying rate of cassava chips. The Latin Square Experiment Design was taken into account when determining the interaction between the critical optimum parameters. At the P 0.05 significance level, an ANOVA was used to analyze the linear and interaction influence of the drying variables on various quality parameters. The study used analysis to compare the F-statistic at four degrees of freedom and obtained an optimal significant level of 3.26. Also, the results showed a significant influence of temperature and period of drying on the drying rate of the cassava chips, but the cassava species did not affect the drying rate of the cassava chips. Also, the results from the statistical analysis were validated and can be employed for monitoring the drying process of cassava chips.
Optimization and Prediction of TIG-MIG hybrid Joint Strength using Adaptive Neuro-Fuzzy Inference System (ANFIS) Model
Authors: Abima Cynthia Samuel , Madushele Nkosinathi , Adeleke Oluwatobi , Akinlabi Stephen Akinwale , Akinlabi Esther
Published: October 2023

In the welding processes, parametric optimization is crucial, and intelligent prediction makes use of data availability to cut the cost of experimental operations. This article proposes adopting the adaptive neuro-fuzzy inference system (ANFIS) model for predicting ultimate tensile strength in TIG-MIG hybrid welding. Experiments are designed and optimized according to Taguchi’s principles. Proposed neural network models are developed using experimental data. Three input process parameters ( MIG voltage, TIG current and gas flow rate) were designed in an L9 orthogonal array at three levels each. The maximum tensile obtained was 868.3 MPa. The signal-to-noise ratio shows that the optimum parameter setting that maximizes the tensile strength corresponds to MIG Voltage (V) = 25, TIG Current (A) =180, and Gas flow rate =19 L/mm. The analysis of variance shows that the gas flow rate had the most influence on the ultimate tensile strength with a 42.35% contribution, followed by the MIG voltage with 31.67%, and TIG current with 18.13% contribution. The developed ANFIS model is 99.9 % accurate at the training (MAPEtraining= 0.1670) and 96.3% accurate at the testing (MAPEtraining = 0.1670) for predicting the ultimate tensile strength. The R2-values of the models at training and testing were closer to unity depicts a good fit between the experimental and predicted values of the response. The lower RMSE values (RMSEtraining=1.8963, RMSEtraining = 4.8194) indicates the lower deviation of the experiment values of ultimate tensile strength from the predicted values. These results imply that ANFIS models can reduce experimental costs and hurdles associated with the trial and error approach to get the appropriate welding parameters. Therefore experimental designs for other plate thicknesses and similar processes could be built and predicted without actual experimentation.
Impact of 5S on productivity and quality in an Indo-Japanese auto-component manufacturing company: An empirical study
Authors: Ojha Radhe Shyam , Kumar Vineet , Singh Sudesh
Published: October 2023

The present work probes the relationship between 5S vis-a-vis productivity and quality. 5S is an extraordinarily economical yet highly effective method of business management. Two hypotheses were formulated for testing with the random sample survey with a reliable and valid questionnaire on the targeted population. The collected data were analyzed using the statistical software SPSS Statistics V23. The statistical tests, namely, multiple correlations, regression analysis, and Pearson- Correlation analysis, were performed. The results show a strong positive correlation between productivity and 5S. The relationship between quality and 5s was also positively related but had moderate significance. This study was limited to a single joint venture Indo- Japanese auto-joint venture situated in the Delhi-NCR region. Further enlarged studies must be performed on more such companies in this location and various geographical regions of India.
Study on effects of additive manufacturing process conditions on part properties for engineering applications
Authors: Dixit Manish , Singhal Piyush , Yadav Pushpendra , Dhakry Nonihal Singh
Published: October 2023

The present research study focused on examining the impact of post-processing, i.e. annealing on Polylactic acid (PLA) parts processed through additive manufacturing for engineering application. The parts are fabricated corresponding to two variable parameters: layer thickness and infill density. The Makerbot replicator2 system is used for sample fabrication. The comparative analysis is performed for mechanical properties corresponding to annealed and non-annealed conditions of specimens. The results show that the post-processing positively affects the mechanical properties of PLA products for engineering applications. The specimens with 60% infill density, provided 6.015%, 11.748%, and -1.834% improved strengths than un-annealed specimens, corresponding to layer thicknesses 0.2 mm, 0.3mm, and 0.4 mm respectively. In similar manner, the specimens with 90% infill density, provided 6.761 %, 7.184 %, 5.427% improved strengths than un-annealed specimens, corresponding to layer thicknesses 0.2 mm, 0.3mm, and 0.4 mm respectively. Post-processing improved the mechanical properties. The significance of the annealing for engineering applications is also discussed in the study.
Performance Evaluation of ML-Based Algorithm and Taguchi Algorithm of the Hardness Value of the Friction Stir Welded AA6262 Joints at a Nugget Joint
Authors: Radhakrishna Laishetty , Hariharan V.S. , Srinivas Banothu , Venkateswarlu Ganta , Messele Sefene Eyob , Mishra Akshansh , Gopikrishna N. , Rajanikanth Teegala
Published: October 2023

Nowadays, industry 4.0 plays a tremendous role in the manufacturing industries for increasing the amount of data and accuracy in modern manufacturing systems. Thanks to artificial intelligence, particularly machine learning, big data analytics have dramatically amended, and manufacturers easily exploit organized and unorganized data. This study utilized hybrid optimization algorithms to find friction stir welding and optimal hardness value at the nugget zone. A similar AA 6262 material was used and welded in a butt joint configuration. Tool rotational speed (RPM), tool traverse speed (mm/min), and the plane depth (mm) are used as controllable parameters and optimized using Taguchi L9, Random Forest, and XG Boost machine learning tools. Analysis of variance was also conducted at a 95% confidence interval for identifying the significant parameters. The result indicated that the coefficient of determination from Taguchi L9 orthogonal array is 0.91 obtained while Random Forest and XG Boost algorithm imparted 0.62 and 0.65 respectively. Keywords: Friction Stir Welding; Taguchi; Machine Learning; Hardness; Nugget Zone and Random Forest.
Image Computation Algorithm for Determination of Microstructural Properties of Rice Husk-Sisal-Kenaf Fiber Reinforced Hybrid Composite
Authors: Rajanikanth Teegala , Phaneendra Seshabattar , Venkateswarlu Ganta , Seema  , Ravindar Bhanothu , Mishra Akshansh , Gopikrishna N. , Radhakrishna Laishetty
Published: October 2023

In the current work, the morphological and mechanical features of a hybrid epoxy matrix composite created by hand layup and reinforced with fibers from rice husk, sisal, and kenaf are predicted by using Watershed segmentation algorithm. To forecast the effect of coating composition on physical performance of a composite, Tensile and hardness tests were used to define the resulting hybrid composites' mechanical characteristics. The objective of the empirical investigation presented in this work is to understand the mechanical behavior of hybrid natural fiber composites. The production of rose husk-sisal-kenaf-epoxy hybrid samples is done by hand layup, with the planned plies being alternately stacked and the weight of the matrix and fibers being kept between 40% and 60%. Samples are sliced from a laminate that has been manufactured in accordance with ASTM specifications in order to undertake various experiments. Dog bone and flat bar shapes were used to cut specimens for tensile test & flexural test. Tensile strength and flexural strength were measured following execution of experiment under UTM and contrasted with base values of used epoxy polymer to identify constant change in strength.
Effects of Compressor Frequency on Performance of Inertance Tube Pulse Tube Refrigerator: A Numerical Study
Authors: Kumar B. Mohan , Rout Satyaprakash , Satpathy Mantra Prasad , Das Diptikanta
Published: October 2023

Pulse-tube refrigerators are considered as the mainstream elements in cryogenic plants. Normally, the efficacy of the inertance tube pulse tube refrigerator (ITPTR) is considered to be the highest among other pulse-tube refrigerators. In the current study, the mechanical performance of ITPTR system is numerically investigated to identify the impact of compressor frequency. The finite volume approach (FVM) is utilized to model the whole ITPTR with the specified boundary conditions using a commercial program ANSYS. The modelled ITPTR includes an inertance tube, reservoir, pulse-tube, cold heat exchangers, after cooler, regenerator, compressor and hot heat exchangers. These coupled systems that are simulated in a steady-state to reveal the performance and cooling rate. It has been discovered that the compressor’s frequency has a significant impact on the ITPTR’s performance and cooling rate. In four distinct ways, the compressor’s frequency has been changed from 10 Hz to 100 Hz. When the compressor runs at 20 Hz, the rate of cooling is determined to be at its highest.
Linear Dynamic Analysis and Design of Raft Foundation considering Long-Term Deflection and Uplift Check
Authors: Singh Harpreet , Tiwary Aditya Kumar , Saini Rahul , John Vivek
Published: October 2023

The Mat or Raft Foundations are widely used these days because we cannot use isolated footings and combined footings everywhere. As the spacing of the column is not uniform in the actual structures it may result in large uneven settlements at the base of the high-rise buildings. In a Mat foundation load from the superstructure is distributed evenly on the soil and uneven deflection is eliminated. Mat or raft foundation can be used with drops or without drops and with beams or without beams. For structures built on low-bearing capacity soil raft foundations, it is a good alternative as it reduces the settlement by distributing loads from super-structure to very large. In this study, the analysis and design of Mat Foundation for a G+7 story building are done by considering long-term deflection and uplift pressure accounts. For this study, Etabs v19.1.0 and Safe v20.0.0 software is used. The analysis is done by performing Response Spectrum Analysis or Linear Dynamic Analysis. After the analysis, results are collected in terms of short-term deflection, Uplift Pressure, long-term deflection, and punching shear and compared with permissible limits specified by the code IS 1904 (Part-1):1986. Results show that all values like deflection, uplift pressure and punching shear are under the permissible limits.
Use of Clean Energy Product - A Path Towards Attainment of Quality of Life
Authors: Das Shiv Sankar , Debadatta Behera Debashree , Bijeta Nayak Bijaya , Prakash Lenka Satya , Kumar Patjoshi Pramod , Nandini Girija
Published: October 2023

Improving the economy and safeguarding sustainability are major challenges of the present day. Clean energy offers the solution to both. Adoption of clean energy is important for human development, economic progress of the region, societal growth and improved quality of life. Adoption of clean energy has no negative externalities. Sun, wind, hydro, tidal, etc. are some of the examples of clean energy sources. This paper consists of two sections. First section focuses on design and development of a hybrid type of solar dryer by using a solar flat plate collector and the second section emphasises on a case related to adoption of solar operated lights in rural areas of Odisha followed by status of adoption of solar operated lights both in rural and urban context in the state of Odisha, Eastern India.
Development of Portable Oxygen Concentrator - A Review
Authors: Madankar T.A. , Deshpande Yogesh
Published: October 2023

The Covid-19 Pandemic, with its first ever reported case in the Wuhan province of China in the year 2019, has led to a newfound global demand for Medical Oxygen supply at a sudden and unprecedented rate. In India, people battled to breathe as oxygen demand shot up with a sudden surge in COVID-19 cases the year 2020. The additional requirement of oxygen was tried to be fulfilled by various means such as oxygen generators installed at hospitals, transported medical as well as Industrial liquid oxygen, oxygen cylinder and oxygen concentrator. During the Covid-19 outbreak, large crowds gathered outside hospitals, and many patients were treated at home, breathing with the assistance of an oxygen concentrator and cylinders. However, cylinders must be refilled, whereas unlimited supply of medical grade oxygen can be obtained by oxygen concentrator if a power backup is maintained. In addition to this, safety, cost and size are the additional features of oxygen concentrator. It is a boon for the sufferer at the initial stage or even after treatment of covid-19, which is made available anywhere. In this paper, an attempt has been made to study an oxygen concentrator in which the principle of Pressure Swing Adsorption (PSA) method is used for oxygen separation. In addition to this, some trends of recently evolved developments in oxygen concentration methods are also reviewed for the readers’ reference. This effort will help to develop the oxygen concentrator to fulfill the demand of oxygen at local level during the waves of Covid or similar incidences in future.
Topology Optimization of a Bell Crank Lever Based on Stiffness and Mass using Finite Element Analysis
Authors: Divadkar Sanchit , Dhatrak Pankaj
Published: October 2023

The following paper represents the topology optimization of a bell crank lever used in trucks. Current trends indicate a steep rise in the use of topology optimization in all fields. There arises a need for such optimized parts in the automotive industry to increase the overall efficiency of any vehicle. The aim of the present research is to optimization of a bell crank lever arm made of AISI A514 Steel used in trucks and maximizes its performance based on criteria of stiffness and mass. Initially, the model is subjected to loading conditions in accordance with a worst-case scenario and optimized accordingly. The optimized and existing bell crank lever is subjected to static analysis using FEA. Results show a 22 % mass reduction of the crank (3395.71 grams to 2641.02 grams) and a 40% stiffness increase (389.32N/mm to 644.988N/mm) which suits the purpose of the study.
Design And Analysis Of An Aerodynamic Window Lintel For Air Drag Reduction On A Square Cros Sectional Structure
Authors: Sudeep Satya Sai C. , Ashish P. , Abhilash A. , Reddy K. Sunil Kumar
Published: October 2023

Every building must be provided with some way of ventilation or a streamlining design to reduce the air drag and turbulence, in order to prevent stress on the underlying pilings. Every multistorey building in a cosmopolitan city is constructed with a non-rectilinear structure such as helical, circular, etc to be a streamlined structure. For the vent/passage of air, there are some cases where they left an entirety of a floor to ensure air passage. But, looking at the layout we can conclude that there is a massive waste of the carpet area/ living space. So, in order to reduce the effect of turbulent air on a regularly shaped building, a modification in the design of the regular window lintel is made. A normal window frame/lintel, which is usually provided for shade and as a canopy, is constructed with bricks and cement. Considering a sample lintel, it has more than 2 feet in depth. Now, using this length can be made a design that can reduce the turbulence of the air that is passing through the building. This helps us to reduce the air drag and stresses on the building’s pilings or joints, without wasting much of the area. Considering the elevation, the design will be made to look aesthetically pleasing. A comparative study will be made with respect to the published papers and past theories.
Study on different types of sensors and Machine Learning Algorithms used for Surveillance Automobile System
Authors: Reddy Mallapi Debashree Gayatri , Mishra Ruby
Published: October 2023

A broad range of modern technologies is used for surveillance as well as security of passengers in automobiles. These technologies include face identification, fingerprint identification, Iris identification, and speaker recognition. Among these face recognition and fingerprint recognition are most commonly used for the surveillance of the vehicle. The demand for face identification in automobiles is increasing as it serves better than that fingerprint technology. The face identification system involves both face recognition and face detection. Researchers have tried to implement a face recognition system in automobiles to detect facial features from a captured image using different machine learning algorithms. This will prevent an unauthorized person to enter the car and will lock the ignition system until and unless the person is recognized. This paper gives a brief review on different types of sensors combined with processing unit and different types of machine learning algorithms used for the vehicle security and tracking system using different technologies.
Study of Orientation of Triangular and Square die hole profiles on Extrusion Load in Multi-hole Extrusion process
Authors: Sahu Rita Kumari , Das Ratnakar , Routara B.C. , Nayak Bijaya Bijeta , Sahu Sasmita , Das Diptikanta
Published: October 2023

The multi-hole extrusion process is an extrusion process with a die having more than one hole. The multi-hole extrusion process is used to extrude more than one product from the same billet with less extrusion load. Different die profiles are used to get different extruded profiles as per the need. Different profiles such as circular, triangular, square etc., are used. The symmetric die hole profiles are easy to fabricate on the extrusion die but the location and positioning of other types of hole profiles like triangular and square need attention as they cause different material flow behavior during material flow. In the present study, triangular and square dies of 2-hole, 3-hole and 4-hole with different orientations of apex and edges have been used to study the extrusion load behavior. Both finite element analysis and experimental study reveals that square hole dies need less extrusion load than that of triangular ones.
Abortion in the First Trimester. Guideline of the DGGG (S2k-Level, AWMF Registry No. 015-094, December 2022) – Part 1 with Recommendations on Care Structures,
Information and Advice on Decision-Making, Measures Before Abortion and Medical Abortion
Authors: David Matthias , Achtenhagen Anne , Bamberg Christian , Bormann Cornelia , Felderhoff-Müser Ursula , Groth Sylvia , Hänel Kristina , König Klaus , Korell Matthias , Michl Susanne , Redler Silke , Schleußner Ekkehard , Seyler Helga , Wallwiener Markus , Wallwiener Stephanie
Published: October 2023

Purpose The aim was to develop evidence-based recommendations where possible. The guideline presents the medical principles and scientific evidence for indications, the counselling
of affected women, performing terminations, the choice of method, and the care and monitoring of a terminated pregnancy up until week 12 + 0 of gestation p. c.

Methods In accordance with the requirements for S2k-guidelines, the contents of the guideline were drafted following a systematic search of the literature by a representative
interdisciplinary group of experts. Guideline authors held several formal meetings under the auspices of the German Society for Gynaecology and Obstetrics (DGGG) during which the contents of
the guideline were finalised and agreed upon.

Recommendations A total of 61 recommendations are provided, covering care structures, provision of information and counselling to support decision-making, the measures to be taken
before terminating the pregnancy, and medical termination of the pregnancy.
Die S2e-Leitlinie Schultersteife
Authors: Dehlinger Friedrich , Bökeler Ulf , Brandt Hanna , Brunnader Lars , Eden Lars , Pfingsten Andrea , Prill Robert
Published: October 2023

Das Krankheitsbild der „Frozen Shoulder“ gibt nach wie vor viele Rätsel auf. Um den aktuellen Stand der Erkenntnisse zu Ätiologie, Diagnostik und Behandlung darzustellen und den dabei beteiligten Berufsgruppen Handlungsempfehlungen zu bieten, wurde von der DGOU und der DVSE eine Arbeitsgruppe gebildet, die eine deutschsprachige, evidenzbasierte Leitlinie erstellt hat, die 2022 bei der AWMF veröffentlicht wurde. Im Folgenden werden die Entstehung und die wichtigsten Ergebnisse zusammengefasst.
Troubleshooting in der Kieferorthopädie: Strategien zur
Überwindung von Limitationen in der
Kieferorthopädie
Authors: Sabbagh Aladin , Sabbagh Hisham
Published: October 2023

Trotz neuer innovativer Apparaturen und aller Weiterentwicklungen
kieferorthopädischer Mechaniken bestehen insbesondere bei der Behandlung
atypischer oder ausgeprägter dentaler und skeletaler Fehlstellungen
weiterhin Limitationen in der Behandlung sowohl mit festsitzenden Apparaturen
als auch mit den Alignern.

Auch die Behandlung von Patientinnen und Patienten mit mangelnder
Therapieadhärenz ist eine tägliche Herausforderung, die
häufig die Anwendung einer kooperationsunabhängigen Technik
erfordert.

Dieser Artikel beschreibt diverse praxisgerechte Strategien zur
Überwindung von technischen, funktionellen und
interdisziplinären Einschränkungen.
Based on Clinical Research Matrix Metalloprotease (MMP) Inhibitors to
Promote Diabetic Wound Healing
Authors: Yadav Jagat Pal
Published: October 2023

Chronic inflammation is a common factor in obesity, diabetes mellitus, and the
complications of diabetes, including diabetic wounds. These ulcers are
characterized by persistent lesions that are challenging to heal, significantly
decreasing patients’ quality of life and imposing a substantial
financial burden on society. MMP are zinc endopeptidases that play a role in
wound healing in response to various stimuli, including diabetes mellitus. MMP
levels fluctuate throughout the wound healing process in diabetic
patients' serum, skin tissues, and wound fluid, indicating their
potential as biomarkers for diabetic foot ulcers. Targeting MMP has emerged as a
promising strategy for treating diabetic wounds, as these enzymes are involved
in critical biological processes related to wound healing, including
extracellular matrix secretion, angiogenesis, granulation tissue formation,
collagen growth, re-epithelization, inflammatory response, and oxidative
stress.