http://nopr.niscpr.res.in/handle/123456789/65978 2026-10-09T21:55:19Z http://nopr.niscpr.res.in/handle/123456789/65987 Title: A Single–Degree–of–Freedom Solution Procedure to Determine Dynamic Characteristics of Air–Bearing Authors: Muthanandam, Muruganandam Abstract: An externally–pressurized journal air–bearing for a heavy, rigid, and balanced rotor is analyzed. The dynamic characteristics of air–bearing are determined during the investigation, at various angular velocities of the journal and angular frequencies of journal vibration. The dynamic characteristics of the air–bearing are found by a numerical simulation procedure. The journal air–bearing system is modeled to have a single–degree–of–freedom. The journal follows a predefined harmonic motion during the simulation. This motion is caused by self–exciting forces resulting from flow dynamics within a real air–bearing. Pressure distribution in the air–bearing is computed by solving the two–dimensional Reynolds equation. Alternating–direction finite–difference method is implemented using MATLAB to find the numerical solutions for pressure. The dynamic load–carrying capacity is calculated via the numerical integration of pressure distribution. The dynamic characteristics of air–bearing are calculated using the time series of displacements, velocities of the geometric center of the journal, and air–bearing forces. The stiffness coefficients and damping coefficients of air– bearing, as well as the eccentricity ratio and attitude angle of the journal, are compared with the findings in the literature. The average percentage differences in the results are attributed to the minor differences in the mathematical models of air– bearing used in this research and the literature. The dynamic stability of the rotor air–bearing system against self–excited vibration can be examined using the dynamic characteristics of the air–bearing. Page(s): 627-644 2025-06-01T00:00:00Z http://nopr.niscpr.res.in/handle/123456789/65986 Title: Design and Analysis of Industrial Material Handling Systems using FEA and Dynamic Simulation Techniques Authors: Chougule, Sukhadip Mhankali; Murali, Govindarajan; Kurhade, Anant Sidhappa Abstract: This study focuses on the design, simulation, and experimental validation of advanced material handling systems, specifically a vibratory bowl feeder and a paddle mixer, aimed at enhancing automation efficiency in modern industrial environments. The scope encompasses improving part orientation and mixing reliability in sectors such as automotive, pharmaceutical, and food processing industries. A vibratory bowl feeder was custom-designed for nuts and bolts, addressing common challenges such as inconsistent feed rates, jamming, and adaptability. The methodology involved 3D CAD modeling in SolidWorks, finite element analysis (FEA) for structural integrity verification, and dynamic simulation using Algoryx Momentum to predict system behavior under varied operating conditions. A spring-mass model was developed to compute natural frequencies and vibration characteristics. Simulation results were validated through experimentation across a frequency range of 47–79.75 Hz, measuring feed rate and part delivery time. Key findings indicate that the vibratory feeder achieved up to 200 parts per minute and over 95% orientation accuracy. FEA confirmed structural safety with stresses below 312 MPa and a verified natural frequency of 78.4 Hz. Simulation outcomes closely matched experimental results in the 50–60 Hz range but deviated at lower frequencies, highlighting real-world inefficiencies not captured in the model. The study concludes that integrating simulation with physical validation ensures robust design, reduced development costs, and enhanced system efficiency. Future work includes incorporating AI-based control and smart sensors to improve adaptability, accuracy, and energy efficiency. This work establishes a strong foundation for the development of intelligent, high-performance material handling systems. Page(s): 645-653 2025-06-01T00:00:00Z http://nopr.niscpr.res.in/handle/123456789/65985 Title: Design and Analysis of a Solar-Powered Vapour Absorption Refrigeration System using E20 Software Authors: Ali, Faizan; Prakash, Ayushi; Iqbal, Malik Shahzad Ahmed; Tiwari, Namita; Kumar, Shiv; Asfar, Muhammad; Yadav, Gaurav; Kumar, Jitendra; Yadav, Vikash Abstract: The utilization of solar energy as future energy source is drawing attention of industrialist and researchers worldwide. The Concentrating Solar Power (CSP) and Solar Photovoltaic Power (SPP) is second largest installed renewable energy source. Solar energy finds potential application in refrigeration system, electricity generation, desalinate water, heat generation etc. The solar powered refrigeration system is more sustainable and environmentally friendly compared to conventional refrigeration systems. In order to explore the applications of solar powered refrigeration system, this study presents the quantitative simulation and performance maximization of a 2 TR solar-powered Vapour Absorption Refrigeration System (VARS) using E20 software motivated by its relevance for medium-scale applications such as commercial cooling and food processing. The integration of solar energy into VARS is an established field of research, with significant contributions. While fundamental principles of solar-driven ammonia-water VARS have been well documented, the application of E20 software would enhance system efficiency through simulation-based optimization. Despite E20 being a commercial tool frequently used in HVAC applications, this study applies it to a specific use case of VARS optimization, offering an improvement in methodology rather than an entirely new concept. This work presents the refining of existing designs using accessible simulation technology for performance optimization. Further, the aim is to bridge the gap between academic studies and practical implementations by demonstrating the feasibility of E20 in VAR system simulation. The performance of the system evaluated yielding a COP of 0.514, which aligns with previously established efficiency ranges. Page(s): 654-664 2025-06-01T00:00:00Z http://nopr.niscpr.res.in/handle/123456789/65984 Title: An IoT-Based Edge Computing Lossless Compression Approach for Enhancing Energy Efficiency in Networks Authors: Sahu, Mukesh; Panda, Jeebananda Abstract: As the Internet of Things (IoT) maintains to increase the inexperienced control of the huge amounts of records generated becomes increasingly more crucial. One of the major issues is big energy intake associated with transmitting records throughout networks. Addressing this issue is vital for the sustainability and feasibility of IoT infrastructures, mainly in packages stressful actual-time records processing and assessment. This paper targets to introduce a completely unique, energy-green technique for IoT compression that minimizes strength intake at some stage in records transmission. By leveraging edge computing, that seeks the machine data closer to its supply, thereby decreasing transmission distances and related electricity costs. A three-layered framework is introduced to achieve lossless compression by capturing network packets of different data sizes. The framework comprises IoT layer, Edge layer and Cloud layer. The framework is carried out at the brink of the community, enhancing statistics, decreasing power consumption, and ensuring security from cyber threats. The results are evaluated using metrics affecting data compression such as Root Mean Squared Error (RMSE) and Peak Signal to Noise Ratio (PSNR). The experimental results show that the proposed compression approach achieves the lowest power consumption rate as 80%, 85%, 90% and 88% in case of image, sensor, financial and textual data types respectively. Furthermore, the proposed framework achieves the highest PSNR value (92.14) and the lowest RMSE value (0.6653) thereby validating the performance of the given IoT-based framework. It shows that the proposed approach is better than existing compression techniques and recent review studies. Page(s): 665-671 2025-06-01T00:00:00Z