Journal of Science Engineering Technology and Management Science

Automatic washing machines have become an essential household appliance because they simplify the clothes washing process, reduce manual effort, minimize water consumption, and improve washing efficiency. Conventional washing machines generally use microcontroller-based controllers or electromechanical timers to manage washing operations such as water filling, washing, rinsing, and spinning. However, these traditional controllers often experience limited processing speed, reduced flexibility, increased maintenance complexity, and slower response during sequential control operations. Recent advancements in Digital System Design, Field Programmable Gate Arrays (FPGA), Verilog Hardware Description Language (HDL), and Finite State Machine (FSM) architectures have enabled the development of high-speed hardware controllers capable of performing automatic washing operations with greater reliability and deterministic execution. This project presents the Design of an Automatic Washing Control System Using Verilog HDL. The proposed controller is implemented using Verilog HDL on an FPGA platform, integrating a water level sensing module, door lock controller, wash cycle controller, rinse controller, spin controller, timer module, motor control unit, LCD display interface, and Finite State Machine (FSM) into a unified hardware architecture. Initially, the controller receives the selected washing mode and continuously monitors the water level and door status before initiating the washing process. The FSM sequentially controls water filling, detergent mixing, washing, rinsing, spinning, and cycle completion while ensuring safe operation throughout the washing cycle. The system continuously supervises water level, motor operation, and timer status to maintain reliable washing performance. Experimental evaluation demonstrates high washing cycle accuracy, reliable state transitions, low processing delay, efficient FPGA resource utilization, and stable hardware operation under different washing conditions. The proposed FPGA-based controller significantly improves washing automation, reduces controller complexity, minimizes execution time, enhances operational reliability, and provides a scalable and costeffective solution for next-generation intelligent washing machine control systems.

Keywords : Verilog HDL, FPGA, Automatic Washing Machine, Finite State Machine (FSM), Digital Controller, Embedded Systems, Hardware Description Language, Washing Control System, Motor Control, Digital Logic.

Author : 1ARELLA SANJAY, 2Mr.M.ANIL, 3DESHAVANTH MADHU, 4KONGA PAVAN SUDHAN, 5BOMMAGONI SWETHA

Title : FPGA-BASED AUTOMATIC WASHING MACHINE CONTROL SYSTEM USING VERILOG HDL

Volume/Issue : 2026;03(08)

Page No : 587-595

The increasing demand for sustainable road construction and the rapid accumulation of plastic and rubber waste have become major environmental challenges worldwide. Conventional bituminous pavements require large quantities of natural materials and petroleum-based binders, resulting in increased construction costs and environmental concerns. The utilization of waste plastic and waste rubber as modifiers in bitumen offers an effective solution for improving pavement performance while simultaneously addressing waste disposal problems. Plastic and rubber modified bitumen enhances the engineering properties of conventional bitumen by increasing its stability, flexibility, resistance to deformation, and durability under varying traffic and climatic conditions. This project presents the Design of Bitumen Modified with Plastic/Rubber Road by investigating the suitability of waste plastic and crumb rubber as bitumen modifiers for flexible pavement construction. The study focuses on evaluating the physical and mechanical properties of modified bitumen using laboratory tests such as penetration test, softening point test, ductility test, viscosity test, specific gravity test, and Marshall Stability test. Different percentages of waste plastic and crumb rubber are blended with conventional bitumen to determine the optimum modifier content that provides maximum pavement performance. The experimental results demonstrate that plastic/rubber modified bitumen significantly improves Marshall Stability, load-bearing capacity, rutting resistance, fatigue resistance, moisture resistance, and service life compared with conventional bitumen. The modified pavement also exhibits lower maintenance requirements and improved resistance to high-temperature deformation and cracking. The proposed methodology provides highway engineers with an economical and environmentally sustainable approach for road construction by converting waste plastic and rubber materials into valuable pavement resources while reducing environmental pollution and improving the durability of flexible pavements.

Keywords : Plastic Modified Bitumen, Rubber Modified Bitumen, Waste Plastic, Crumb Rubber, Marshall Stability, Flexible Pavement, Sustainable Road Construction, Bituminous Mix, Highway Engineering, Pavement Performance, Recycling Technology, Green Roads.

Author : 1VASHNAVI, 2DR. P.ROHIT, 3P. RAKESH, 4S .AJAY

Title : DESIGN AND PERFORMANCE EVALUATION OF PLASTIC AND RUBBER MODIFIED BITUMINOUS PAVEMENT

Volume/Issue : 2026;03(08)

Page No : 596-604

Road transportation plays a significant role in the economic development of a country by facilitating the efficient movement of people and goods. The increasing traffic volume, higher axle loads, and rapid urbanization have created the need for durable and cost-effective pavement systems capable of providing long-term serviceability under varying environmental and traffic conditions. Flexible pavements are widely adopted due to their ease of construction, lower initial cost, and efficient load distribution characteristics. However, improper pavement thickness design may result in premature failures such as rutting, fatigue cracking, surface deformation, and excessive maintenance costs. Therefore, accurate pavement design using advanced analytical tools has become essential for ensuring pavement performance and durability. This project presents the Design of a 4-Lane Flexible Pavement Using IIT PAVE Software and IRC 37. The study focuses on designing a flexible pavement structure based on the guidelines specified in IRC:37-2018 by considering design traffic, axle load repetitions, subgrade strength, climatic conditions, and pavement material properties. The pavement structure is analysed using IIT PAVE, a mechanistic–empirical pavement analysis software developed by the Indian Institute of Technology. The software computes critical pavement responses including horizontal tensile strain at the bottom of the bituminous layer, vertical compressive strain on the top of the subgrade, surface deflection, and stress distribution under wheel loading. These responses are evaluated to determine the required thickness of bituminous layers, granular base, granular sub-base, and subgrade. The results demonstrate that the designed pavement satisfies the fatigue and rutting criteria recommended by IRC standards while ensuring structural stability, durability, and long service life. The proposed methodology provides highway engineers with an accurate and economical approach for designing four-lane flexible pavements capable of accommodating increasing traffic demand while minimizing maintenance requirements and improving pavement performance.

Keywords : Flexible Pavement, IIT PAVE, IRC 37:2018, Mechanistic-Empirical Design, Four-Lane Highway, Pavement Thickness Design, Bituminous Pavement, Fatigue Analysis, Rutting Analysis, Highway Engineering, Pavement Performance, Transportation Engineering.

Author : 1NANDHINI, 2Mrs.V.KAVITHA, 3K. ARUN NAYAK, 4K. BALAJI

Title : DESIGN AND STRUCTURAL ANALYSIS OF A FOUR-LANE FLEXIBLE PAVEMENT USING IITPAVE AND IRC 37

Volume/Issue : 2026;03(08)

Page No : 605-613

Efficient thermal management is a critical aspect of modern aircraft engine design, as excessive temperatures can reduce engine efficiency, accelerate component degradation, and compromise operational safety. This project presents the modelling and Computational Fluid Dynamics (CFD) analysis of aircraft engine fan cooling to investigate airflow characteristics and heat dissipation within the fan section. A three-dimensional model of the engine fan assembly is developed using computer-aided design (CAD) software and imported into a CFD environment for numerical simulation. The analysis evaluates airflow velocity, pressure distribution, turbulence intensity, and temperature variations under different operating conditions. Appropriate boundary conditions, material properties, and turbulence models are applied to replicate realistic engine cooling scenarios. The simulation identifies regions of high thermal concentration and airflow recirculation that may reduce cooling efficiency. Based on the obtained results, design modifications such as optimized blade geometry, improved airflow channels, and enhanced cooling passage configurations are assessed to improve thermal performance. The CFD outcomes demonstrate that optimized airflow significantly enhances heat transfer, minimizes temperature gradients, and promotes uniform cooling across critical engine components. The study also highlights the importance of numerical simulation in reducing prototype development time, lowering experimental costs, and supporting design optimization during the early stages of aircraft engine development. Overall, the proposed CFD-based approach provides valuable insights into the thermal behaviour of aircraft engine fans and offers an effective methodology for improving cooling efficiency, engine reliability, and operational lifespan. The findings contribute to the advancement of aerospace thermal management systems by enabling engineers to design safer, lighter, and more energy-efficient aircraft propulsion systems while maintaining high performance under demanding flight conditions.

Keywords : Aircraft Engine, Engine Fan Cooling, Computational Fluid Dynamics (CFD), Thermal Analysis, Heat Transfer, Airflow Distribution, Temperature Distribution, Turbulence Modelling, Cooling Performance, Aerospace Engineering.

Author : 1N. SWETHAK, 2Dr.A.ANITHA, 3B. DINESH, 4T. VIGNESHWAR , 5D. MAHESH, 6B. ANJANEYULU

Title : DESIGN, MODELING, AND CFD ANALYSIS OF AN AIRCRAFT ENGINE COOLING FAN

Volume/Issue : 2026;03(08)

Page No : 614-622

The camshaft is one of the most critical components of an internal combustion engine, as it controls the opening and closing of intake and exhaust valves, directly influencing engine performance, fuel efficiency, and emission characteristics. This project focuses on the modelling and manufacturing of a six-cylinder engine camshaft by integrating modern Computer-Aided Design (CAD) techniques with precision manufacturing processes. Initially, a three-dimensional (3D) model of the camshaft is developed using CAD software based on standard engine specifications, considering parameters such as cam profile, shaft dimensions, lobe spacing, journal diameter, and timing sequence. The digital model is evaluated to ensure dimensional accuracy and proper alignment of all cam lobes required for a six-cylinder engine configuration. Following the modelling phase, suitable engineering materials are selected based on mechanical strength, wear resistance, hardness, and fatigue performance. The manufacturing process includes machining operations such as turning, milling, grinding, and precision finishing to produce the required camshaft geometry. Heat treatment and surface finishing techniques are also incorporated to improve hardness, durability, and service life under high-speed operating conditions. Dimensional inspection and quality verification are performed to ensure compliance with design specifications and manufacturing standards. The developed camshaft is expected to provide accurate valve timing, reduced friction, improved mechanical reliability, and enhanced engine efficiency. The proposed methodology demonstrates the importance of integrating CAD modelling with advanced manufacturing technologies to produce high-quality engine components while reducing production time and manufacturing cost. This study contributes to the development of reliable and precisionengineered camshafts suitable for modern six-cylinder automotive and industrial engine applications.

Keywords : Camshaft, Six-Cylinder Engine, Computer-Aided Design (CAD), Manufacturing, Valve Timing, Precision Machining, Heat Treatment, Surface Finishing, Mechanical Design, Internal Combustion Engine.

Author : 1M.RAHUL, 2S.VENKAT LAKSHMAN, 3A.UMESH CHANDRA, 4K.VINAY RAM KUMAR, 5G.MALLIKARJUNA , 6M. VENKATA SAI RUTHVIK

Title : DESIGN, MODELING, AND MANUFACTURING OF A SIX-CYLINDER ENGINE CAMSHAFT

Volume/Issue : 2026;03(08)

Page No : 623-632

Digital identity is now an integral part of the digital ecosystem and is essential for safe access to the Internet, communication, financial systems, health, and e-government services. As digital technology has expanded, so have the opportunities for identity theft, fake accounts, phishing, deepfakes, impersonation and other forms of identity-based cyber-attacks and cannot prevent these new types of attacks with traditional security methods and require intelligent and adaptive detection. Artificial Intelligence (AI) has come to the rescue with the possibility of automated identity verification, behavioral analysis, biometric authentication, anomaly detection and real-time threat identification. This study presents a comprehensive literature analysis on intelligent detection of harmful digital identities using artificial intelligence. Topics covered include digital identity basics, several kinds of harmful digital identities, methods for verifying digital identities, deep learning and machine learning, large language models, generative AI, and intrusion detection systems based on artificial intelligence. According to the reviewed literature, AI has a major influence on improving detection accuracy, automation, scalability, and resilience to sophisticated cyberattacks. The results underscore the importance of AI in creating trustworthy, secure, and privacy-protecting digital identity management systems, as well as potential avenues for further research and development that could improve intelligent cybersecurity solutions

Keywords : Artificial Intelligence, Malicious Digital Identities, Machine Learning, Deep Learning, Identity Fraud Detection

Author : Dr. Sunita Dixit

Title : Intelligent Detection of Malicious Digital Identities Using Artificial intelligence (Ai)-Driven Approach

Volume/Issue : 2026;03(08)

Page No : 633-639

The creation of future intelligent applications relies on distributed, community-driven, and decentralized resource sharing, made possible by open edge networks, a new paradigm in computing. With edge computing, resources like processing, storage, and networking are brought closer to end devices. This improves scalability, real-time responsiveness, and decreases latency and bandwidth usage, all while decreasing reliance on centralized cloud infrastructures. With an emphasis on their function in constructing collaborative, open, and resilient edge ecosystems, this survey offers a thorough evaluation of community-driven and distributed computing designs. Architectural models and enabling technologies such as artificial intelligence, the Internet of Things, software-defined networking, network function virtualization, and multi-access edge computing are covered in the article, which serves as an introduction to the basics of edge computing. Open edge networks are further investigated in the study by looking at their uses in smart cities, healthcare, transportation, robotics, smart homes, robots in agriculture, smart roads, and disaster management. In addition, it reviews key security, privacy, and trust mechanisms required for secure distributed environments and highlights challenges related to interoperability, heterogeneous resource management, scalability, and cyber resilience. The study concludes by outlining future objectives and identifying existing research needs in the pursuit of intelligent, autonomous, secure, and sustainable open edge network architectures. These designs should be able to serve varied real-time applications across heterogeneous computing environments.

Keywords : Open Edge Networks, Distributed Computing Architectures, Artificial Intelligence (AI), Internet of Things (IoT)

Author : Dr Chintal Kumar Patel

Title : Toward Open Edge Networks: A Survey of Community-Driven and Distributed Computing Architectures

Volume/Issue : 2026;03(08)

Page No : 640-647