Poornima College of Engineering, Jaipur

This paper investigates the alpha-exponential synchronization problem for reaction-diffusion fractional-order Clifford-valued delayed neural networks (RDFOCLVDNNs) using an event-triggered control (ETC) strategy. First, a general form of neural networks (NNs), namely RDFOCLVDNNs is considered, which provides deeper insights into the dynamics of Clifford-valued neural networks (CLVNNs). To address the challenges posed by the non-commutative nature of Clifford algebra, the RDFOCLVDNNs are decomposed into multi-dimensional real-valued neural networks (RVNNs), which avoid the complexities of Clifford number multiplication and also simplify the analysis. Then, by constructing a suitable Lyapunov-Krasovskii functional (LKF) and applying appropriate inequalities new robust conditions are derived to guarantee the alpha-exponential synchronization of RDFOCLVDNNs under the proposed ETC strategy. To validate the synchronization criteria, a numerical example is presented along with graphical analysis. Furthermore, proposed theoretical framework is utilized to develop an effective color image encryption algorithm for secure image transmission. Finally, the effectiveness and security of the proposed encryption scheme are verified through simulations and various performance analyses.

The use of Powder metallurgy is used to strengthen metal matrix composites with fly ash. This study extensively explores the fabrication and characterization of MMCs reinforced with fly ash particles. A range of fabrication techniques are examined, providing insight into possible uses and improvements in MMCs production procedures. MMCs can be made for specific uses by adding particles of fly ash that change their physical and mechanical properties. Microstructural analysis can provide insight into the functioning of a combination by examining the minute structures of materials, such as fly ash particles inside a metal matrix composite. This review consolidates and examines documented data on the density, porosity, and microstructural attributes of fly ash-reinforced aluminum composites to evaluate their material qualities and prospects for further advancement. Wear resistance and hardness are measured mechanically to evaluate composite performance under varied loading conditions. This study objectives to explore the fabrication, characterization, and performance evaluation of cost-effective hybrid metal matrix composites (MMCs) using fly ash (FA) as a reinforcement in MMCs, with an emphasis on employing industrial waste materials to improve sustainability and minimize production costs. Al-7Si-3Cu-0.4Mg alloy-based composites with fly ash up to 10

An Alumina–Aluminum functionally graded material (FGM) beam's dimensionless critical buckling load was calculated using COMSOL Multiphysics 4.2 and verified against Li and Batra's benchmark results, showing a strong connection and validating the precision of the numerical method. After this validation, a thorough structural analysis was carried out to examine how the beam responded to three different boundary conditions: Clamped–Simple (C–S), Simple–Simple (S–S), and Clamped–Free (C–F). These conditions included Total Point Displacement (TPD), Total Surface Displacement (TSD), Von Mises Stress (VMS), and Principal Stresses (PS). To accurately simulate the gradation effect, the FGM's material properties—specifically, Young's modulus and Poisson's ratio—were continually changed throughout the thickness using a power-law distribution. Total Point Displacement (TPD) for the CS beam increased by 30.8

This study provides a novel and comprehensive assessment of solar photovoltaic (PV) panel performance under varying environmental conditions, integrating laboratory experiments with real-world field studies to address challenges specific to mining operations. The research uniquely explores the combined effects of shading, temperature, humidity, dust deposition, and tilt angle, delivering actionable insights for optimizing PV systems in harsh conditions. Laboratory experiments demonstrated that a parallel configuration significantly minimizes power losses under partial shading, while a rise in temperature from 35 to 75 °C resulted in a notable 21.34

The circular economy has gained significant attention recently because of its potential social and environmental benefits. This paper seeks to explore the challenges impeding the adoption of the circular economy in India’s industrial sectors. To enhance the understanding of these barriers in the Indian context, this study focuses on identifying the key barriers to CE implementation in the country’s industries, this study used an exploratory methodology. A set of questions was created and sent to many Indian manufacturing firms. More than 150 industries were contacted throughout the six-month data collection phase of this study. Taking into consideration social, economic, and environmental considerations, this paper identifies many barriers to adopting CE and performs a thorough analysis of the most current studies on the subject. The paper states that cultural and technology are the main barriers to the adoption of CE principles in Indian manufacturing businesses. The only respondents from the 126 industrial enterprises in the Indian manufacturing sector who answered the survey questionnaire are the ones from whom conclusions may be made. Although the focus of this research is only on the Indian manufacturing sector, emerging Asian nations may find the greatest application in its insightful findings.