Rajarambapu Institute Of Technology

The Government of India, in 2016 launched a a flagship scheme Pradhan Mantri Ujjwala Yojana (PMUY) which meant to make clean cooking fuel such as liquefied petroleum gas (LPG) available to economically marginalised households. The widespread adoption of PMUY has often been linked with environmental sustainability, improvement in health, and economic empowerment of women in beneficiary households. However, there is a gap in research on the socio-economic antecedents of the long-term continuation of LPG refills under the scheme and its impact on women’s socio-economic and health outcomes. The present research aimed to study the intention on choice of LPG as cooking fuel and factors influencing in continuing the use. The study focussed on 40 blocks in five districts of Western Maharashtra, which are predominantly tribal and scheduled caste communities and considered moderately secure in food availability. Findings reveal that the policy has a significant improvement in the women’s economy and health through environmental sustainability and cooking time-saving. The socio-economic factors like income levels and education influence the adoption of LPG as a cooking fuel positively while, easy access to plant and cattle waste influences the effective reach of the scheme. However, the affordability of refills was found to be a critical issue. This study stands unique being the first to use primary data to assess the socio-economic factors influencing the choice of cooking fuel under PMUY. By integrating both behavioural and policy perspectives, the study provides novel insights into the program’s effectiveness and the persistent barriers to clean energy adoption.

This research paper investigates the analysis of multi-storey buildings under seismic loading is a critical aspect of structural engineering, especially in regions prone to seismic activity. This study explores the seismic performance of two distinct building typologies conventional Reinforced Concrete (RCC) and Steel-Concrete Composite buildings using ETABS software. The research involves the analysis of a G + 20 storey building with irregular geometries, specifically C and L-shaped configurations, to simulate the complexity encountered in real-world scenarios. Both RCC and steel-concrete composite structures are designed for different seismic zones (II, III, IV, and V) as per Indian Standard codes, representing regions with varying levels of seismic hazard. In addition, the study incorporates multiple soil conditions, including soft, medium, and hard soil profiles, to assess the impact of ground conditions on the seismic performance of the buildings. ETABS software, a widely used tool in structural design and analysis, is employed for the modeling and evaluation of the buildings' dynamic behavior under seismic loads. The analysis includes the assessment of seismic parameters such as base shear, lateral displacement, and story drift for both building types across different seismic zones and soil conditions. The study aims to validate the results with available literature to ensure the accuracy and reliability of the findings. Through this comparative analysis, the study provides insights into the structural efficiency and performance of steel-concrete composite G + 20 storey irregular shape buildings versus traditional RCC G + 20 storey irregular shape buildings, offering valuable data for various seismic zones (II, III, IV, V) with varying soil conditions in diverse conditions.

Composite materials are currently replacing conventional materials due to their superior features such as high specific tensile and flexural strength when compared to conventional materials. The purpose of this research is to investigate optimum bidirectional fiber orientation and its impact on mechanical properties in E-glass fiber-reinforced (E-GFRE) epoxy composite. The goal of this research work is to calculate the tensile, flexural, and impact strength in E-GFRE composite through experimentation. Bidirectional (woven) mat glass fiber and epoxy resin were employed in this work. The ASTM standard-compliant testing specimen was made using the hand layup method. The 0° & 90° oriented bidirectional GFRE composite shows the best result as compared to other orientations such as ± 45°, 30° & −60°, SP (special stacking sequence). The material property evaluated from experimental work is plugged in Abaqus software, and the result of the simulation is in favorable agreement in comparison with experimental observation.

Bearing faults, particularly outer race defects and angular misalignment across coupling, significantly impact the performance and reliability of rotating machinery, leading to increased vibration, instability, and potential system failure. This study investigates the vibration characteristics of a rotor-bearing system with outer race faults and angular misalignment between the rotor and motor shaft across coupling, focusing on the sugar industry. An experimental setup simulates these defects using Electrode Discharge Machining (EDM) to create outer race defects and inserting thin strips beneath the bearing block to induce angular misalignment. A dynamic model, employing dimensional theory, is developed and validated through experimental data analysis. To enhance fault detection accuracy, a hybrid approach integrating expert knowledge with a 1D-CNN (one-dimensional Convolutional Neural Network) for automated feature extraction and failure mode classification is proposed. Angular misalignment exacerbates variable compliance excitation, leading to increased vibration acceleration and directional instability in the rotor-bearing system. The study reveals amplification of vibration spectra components due to angular misalignment, with a decrease in rotational frequency amplitude. The 1D-CNN-based detection method achieves a fault diagnosis accuracy of 98%, demonstrating its efficacy in real-time bearing health monitoring. This research provides valuable insights into mitigating angular misalignment and outer race defects in rotating machinery, thereby enhancing operational stability and reliability. The findings advocate for the adoption of advanced monitoring techniques like 1D-CNNs for improved fault detection and maintenance strategies in industrial applications.

Battery swapping and charging station (BSCS) is a developing domain for energy storage and electrical vehicles (EVs). An electric vehicle charging station can be combined with a microgrid (MG) and a road traffic transportation network (RTTN) for cost‐effective system operation to set up a new BSCS in a territory. This paper presents a new approach for the location and sizing of a BSCS constructed to solve the combined problem of high infrastructure cost, energy cost, and renewable energy support. The proposed model supports the participation between BSCS, MG, and RTTN for optimal location in the territory and power exchange between the MG and BSCS. This BSCS is connected with an electric network, photovoltaic (PV) units, wind turbines, and RTTN to offer auxiliary facilities and increased profit. The proposed optimization technique has been applied to a case study in Maharashtra, India, and it shows effectiveness by minimizing investment and operational cost along with location and sizing for the BSCS.

A miniature replica of a grape cold storage facility has been constructed to optimize air distribution and temperature uniformity using computational fluid dynamics (CFD) analysis. CFD simulations were conducted to evaluate and enhance airflow patterns and thermal distribution within the storage model, ensuring efficient cooling performance. In addition, Internet of Things (IoT) technology was integrated to monitor real-time temperature and humidity levels, with sensor data being transmitted to the cloud for remote access and monitoring. The model utilizes a Node MCU board, DHT11 temperature sensor, and a humidity sensor, showcasing a cost-effective and efficient solution for cold storage optimization. The findings highlight the importance of CFD analysis in determining optimal duct configurations and airflow distribution, complemented by IoT-based real-time monitoring to maintain controlled storage conditions.

High Utility Pattern Mining (HUPM) has advanced beyond traditional frequent pattern mining by capturing the unique profits associated with items, thus revealing more valuable patterns. Despite this advancement, conventional HUPM approaches assume perfect database integrity, which can undermine the reliability of mined results in the presence of unknown errors or noise. This paper introduces a novel HUPM model designed to address these limitations. The proposed model, named Positive and Negative unit utilities-based High Utility Patterns from Certain Data (PNHUPC), integrates a High Utility Pattern Tree (HUPT) to enhance mining effectiveness and reduce the necessity for multiple database scans. The HUPT structure efficiently retains transactional information and high utility itemsets, thereby optimizing the mining process. Initially, the model converts an uncertain dataset into a certain dataset by incorporating factors such as positive and negative unit profit, purchase quantity, seasonal frequency, and item probability. This conversion results in a refined list of items with attributes reflecting their potential utility. Subsequently, unpromising candidates are strategically pruned from this list. The construction of the HUPT further improves mining performance, making the proposed approach a robust solution for extracting valuable patterns in the presence of data imperfections.

This study analyses the feasibility of a LDD system for the drying process of vegetables and fruits. An experimental setup was fabricated to observe the correlation between the relative humidity and airflow velocity. In this investigation, the influence of airflow velocity on relative humidity at the outlet and the moisture extraction rate is analyzed. Results indicate that an increase in air velocity enhances the drop in relative humidity, which is very essential for the drying of products. However, beyond a particular limit of air velocity, the moisture extraction rate demonstrates a decrease. This decrease is due to the diminishing quantity of liquid desiccant solution necessary in relation to the escalating air velocity. Achieving a relative humidity of 25.66% requires a temperature rise of 34.8°C in the convective system, while the LDD system achieves the same with a lower temperature rise of 32.2°C under identical inlet conditions. This indicates that the LDD system provides better drying conditions compared to conventional methods. Hence, the LDD system proves to be superior in preserving quality, texture, and other essential properties of perishable products in the drying process. These findings contribute to the usefulness of the LDD system for drying operations at low temperatures.

The AttendEase Hostel Attendance System, developed by Mr. Narendra V. Palse and team, provides a comprehensive digital solution for automating and managing hostel attendance in educational institutions. Focused on modernizing attendance tracking, the system integrates biometric authentication with real-time verification and multi-source data validation, including leave requests and library presence. By leveraging robust web technologies like React.js, Express.js, MySQL, and biometric hardware, AttendEase ensures scalability, security, and user-friendliness. Its integration with AiSensy enables automated WhatsApp/SMS notifications to students and parents, promoting accountability and transparency. The project was implemented following a structured methodology that included problem identification, system design, simulation testing, and interface development. The results highlight improved efficiency in hostel operations and significant reduction in manual errors. Future enhancements include full-scale hardware deployment, analytics integration, and broader institutional adoption. AttendEase marks a notable advancement in hostel management, setting a benchmark for smart campus infrastructure.

TestForge: A Smarter Way to Manage MSBTE Exam Centers TestForge is a modern web-based system developed to simplify and improve how MSBTE end-semester exams are conducted at exam centers. Built using Next.js and FastAPI, the platform handles essential tasks such as generating exam timetables, assigning blocks, preparing seating charts, and managing inventory automatically. It also includes digital marksheets for better and faster record-keeping. With features like real-time updates, automated reports, and efficient resource allocation, TestForge helps reduce the workload of exam center staff. This system brings more accuracy, less manual effort, and smoother exam operations. This paper explores how TestForge works and its benefits in streamlining exam center processes

This paper presents the design and implementation of a Furniture Shop Management System (FSMS), a comprehensive software solution aimed at streamlining daily operations of furniture retail businesses. The system automates various functions including inventory management, sales tracking, customer records, and billing processes. Developed using PHP and MySQL, and hosted via XAMPP, the system enhances operational efficiency, minimizes manual errors, and improves overall customer experience.

This digital recipe book serves as an innovative and comprehensive culinary guide, crafted to meet the needs of modern home cooks in a digital age. It offers a wide variety of recipes spanning multiple cuisines, dietary preferences, and skill levels. From classic comfort foods to contemporary health-conscious dishes, the collection is thoughtfully organized to provide easy access to meals for every occasion—be it quick weekday dinners, festive celebrations, or nutritious meal-prep ideas. Each recipe is presented with step-by-step instructions, ingredient lists, cooking tips, preparation time, and serving suggestions. To enhance the user experience, the digital format includes high-resolution photos, instructional videos for select recipes, and interactive features such as adjustable serving sizes and integrated shopping lists. In addition to traditional meal categories—such as breakfast, lunch, dinner, snacks, and desserts—the book includes specialized sections for vegetarian, vegan, gluten-free, and low-carb options. Users can also search by key ingredients, cooking method, or cuisine, making the book a versatile and user-friendly tool in the kitchen. Designed for convenience and inspiration, this digital recipe book not only encourages culinary exploration but also promotes healthier eating habits, meal planning, and creativity. It is ideal for individuals, families, and anyone looking to expand their cooking repertoire with ease and enjoyment

This study investigates the seismic performance of a G + 10 multi-storied irregular steel building with L-shaped and T-shaped configurations, focusing on the effectiveness of damping and base isolation systems. The research aims to analyze the structural response of the building under various seismic conditions using ETABS software, considering damping mechanisms (viscous and friction dampers) and base isolation techniques (friction pendulum system and lead plug bearing). The study explores different seismic zones (II, III, IV, and V) and soil conditions (rock, medium, and soft soil) to assess parameters such as storey drift, storey displacement, and base shear. The findings reveal that hybrid combinations of damping and base isolation techniques significantly enhance seismic resilience, with friction pendulum bearings and lead plug bearings providing superior performance. The application of hybrid systems led to a reduction in seismic responses by up to 50% in high-risk zones. The T-shaped buildings exhibited higher seismic responses than L-shaped structures due to their geometric irregularity, but optimized damping and isolation systems mitigated these effects. The research also highlights the critical role of soil-structure interaction, with soft soil amplifying seismic forces by 40–50%. These findings emphasize the need for advanced seismic mitigation strategies, particularly for irregular steel structures in earthquake-prone areas. The results offer valuable insights for structural engineers and policymakers, advocating for the integration of hybrid damping and base isolation systems in seismic design codes.

In today's fast-paced world, finding and connecting with professions from various fields can be a challenging task. The BuildLink: Professions Contact Directory is a mobile application designed to simplify this process by providing a structured and easily accessible directory of professions. This application allows users to search, sort, and filter contacts based on criteria such as profession, name, location, and business/shop name. By leveraging Firebase as the database and Java with XML for Android development, BuildLink ensures real-time updates and a seamless user experience. The project focuses on addressing the limitations of traditional contact management systems by offering a digital, organized, and efficient solution for storing and retrieving professions. Users can access contact details without authentication, ensuring ease of use and accessibility. The intuitive interface and sorting features make BuildLink a valuable tool for individuals and businesses seeking quick and reliable connections with different professions. This project aims to enhance networking, improve accessibility, and streamline communication across different professions, making it a practical and innovative solution in the digital age

Web Based Internship website is a comprehensive tool for coordinating by facilitating constructing a bridge between the company and the student. By using Internship website students save a lot of time as they can communicate directly with the company. A student wishing to take an internship class can access the system for getting information about companies having internship programs. A company manager can add and modify company information and view all the students they are advising for the internship. Users can login only one time in the system. We are making the project just for solving student‟s problems. This means we are making the project for the student those are not able to do offline internship. We realize that in today‟s run-up age, students are not able to go to the company applying for an internship program. As we know that, time is a most valuable thing for each person. This project saves a lot of time of student. The Internship Management System is designed to simplify the process of finding and applying for internships. It acts as a bridge between students seeking internship opportunities and companies offering them. By using this website, students can directly connect with companies without the hassle of traditional offline methods. They can easily access information about available internships and submit their applications online, saving them valuable time and effort. Additionally, company managers have the ability to manage and update their internship listings. With a focus on solving students' problems, the project aims to make internships more accessible to those who may face challenges participating in offline internships. In today's fast-paced world, where time is precious, this system offers a convenient solution for students to kick-start their careers and gain valuable work experience.

The E-gram Panchayat app is a digital platform designed to streamline the functioning of local governance at the Panchayat level. It allows citizens to easily access government services, file complaints, and track the status of ongoing initiatives. The app provides a user-friendly interface for Panchayat officials to manage and monitor various developmental projects and financial transactions. It promotes transparency by offering real-time updates and reports to both the community and local authorities. Additionally, it supports the dissemination of information regarding government schemes, agricultural support, and welfare programs. The app aims to empower rural communities through technology, improving civic engagement and service delivery. Ultimately, it strengthens the overall governance system by bridging the gap between citizens and officials

The Academic Performance Evaluation Portal is an innovative online platform designed to provide comprehensive, data-driven evaluations of student performance across various educational levels. The website aims to support educators, students, and school administrators in tracking, analyzing, and improving academic achievements through real-time, personalized reports. With an intuitive interface, the portal integrates both quantitative and qualitative data sources to create a holistic view of student performance, allowing for more targeted interventions and informed decision-making. The platform employs advanced analytics and artificial intelligence (AI) algorithms to evaluate academic progress based on multiple indicators, including test scores, grades, attendance, participation, and sociobehavioral factors. Educators can input grades and assignments, and students can track their performance, receive feedback, and set personalized learning goals. Additionally, the website allows for the comparison of individual performance against class averages, school benchmarks, and national standards, offering a contextual understanding of where a student stands in relation to peers. Through its powerful reporting tools, the website generates customized reports that highlight strengths, identify areas for improvement, and recommend personalized learning resources or strategies.

This project is aimed at development a Web application that depicts online shopping of plants, seeds, fertilizers and flowers etc. products .Using this software , companies can improve the efficiency of their services. Online Shopping is one of the application to improve the marketing and sale of the company’s products. This Web application involve all the basic features of online shopping. As getting t he information from various research Papers and other sources we analyse that many peoples want to buy a plants and they directly concerned to nursery But sometimes people doesn’t know specific information about particular plant items as well seller is not Technically skilled. Customer doesn’t compare plants pricing with different shopkeeper as well as in nursery there Is no facility for online payment only cash may consumed.So, in this case e -nursery is platform where customer Can compare plants pricing and make online payment easily. Customer service is extremely important. We want each customer to have a pleasant shopping experience, and it is the intention of our staff to answer questions with Expertise and to offer advice when we feel it is needed.Retain customers to generate repeat purchases and make Referrals. Continue to expand daily sales by adding to the variety of plants we sell. Communicate with our Customers through creative advertising

The growing demand for eco-friendly and sustainable lubricants has spurred interest in biolubricants derived from renewable sources. This study explores the synthesis and performance of trimethylolpropane esters derived from non-edible karanja and jatropha oils. The karanja trimethylolpropane esters (KTMPE) and jatropha trimethylolpropane esters (JTMPE) were synthesized using a three-step process: acid pretreatment to reduce free fatty acids, base-catalyst transesterification to produce fatty acid methyl ester, and vacuum-assisted transesterification with trimethylolpropane to produce biolubricants. The successful synthesis of biolubricants was confirmed through FTIR, ¹H-NMR, ¹³C-NMR, and GC analyses. Rheological analysis conducted using a modular compact rheometer revealed Newtonian fluid behavior for both biolubricants across a temperature range of 25°C to 100°C and a shear rate of 0 to 100 s⁻¹. The viscosity indices improved from 145 to 163 for KTMPE and from 152 to 250 for JTMPE, while pour points decreased from 3°C to − 4°C for KTMPE and from 4°C to − 8°C for JTMPE. The thermogravimetric analysis confirmed thermal stability up to 210°C for both the biolubricants, supporting their use in high-temperature applications. Tribological evaluation using a four-ball tribometer highlighted the superior performance of JTMPE, characterized by a lower coefficient of friction, smaller wear scar diameter, and greater load-bearing capacity than KTMPE. Surface analysis using FE-SEM and optical microscopy confirmed the formation of a stable lubricating film by JTMPE, with minimum wear debris. These findings underscore the role of trimethylolpropane in enhancing biolubricant properties, positioning KTMPE and JTMPE as sustainable and effective alternatives for diverse industrial applications.