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483 articles for “machining operation”
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Wind Turbine Operation Information System
Abstract: The ability of wind energy to produce energy steadily and consistently makes it an important and necessary energy source. However wind energy has faced many challenges, such as discontinuation of wind farm equipment, early investment costs and therefore finding wind energy efficiency areas. The main aim of this project is to determine the energy efficiency of wind turbines, and it will also help to make suggestions to reduce the maintenance …
Published in Trends in Machine design · Vol. 10, Issue 3, 2023 · pp. 40–46 Read article
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Multi-functional UAV for Disaster Response and Management
Abstract: Unmanned Aerial Vehicles (UAVs), commonly known as drones, have become integral across diverse fields such as agriculture, surveillance, and defense, with expanding roles in critical operations like search and rescue and post-disaster management. Despite their versatility, current UAVs encounter challenges in disaster response due to limitations in flight time, costs, and accuracy, particularly in dynamic weather conditions. The UAV is equipped with features essential for disaster site surveillance, human detection, …
Published in Journal of Aerospace Engineering & Technology · Vol. 14, Issue 1, 2024 · pp. 1–6 Read article
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Design of Biped Robots: A Review
Abstract: Biped robots, inspired by the human’s kinematic structure, have seen remarkable evolution from early mechanical automata to today’s sophisticated machines capable of performing complex tasks. Their design aims to achieve efficient and stable movement on two legs. This paper examines the current advancements and historical progress in the development of bipedal robots. The authors investigate the implementation of these robots in various fields, like healthcare, entertainment, search and rescue operations, …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 2, Issue 2, 2024 · pp. 36–46 Read article
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Innovative Applications of AI and Machine Learning in Voice-Driven Systems: Friday AI 2.0
Abstract: The development of artificial intelligence (AI) has enabled the development of increasingly sophisticated models that can understand and react to human questions. This study introduces Friday AI-2.0, a cutting-edge AI model that improves user engagement by using natural language processing (NLP) and voice synthesis technologies to produce text-based and audio-based responses. By increasing engagement through an intuitive and engaging interface, Friday AI-2.0 seeks to improve the user experience. By describing …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 12, Issue 3, 2025 · pp. 01–09 Read article
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A Study on Leveraging Sensors and AI in Insect-Inspired Robotics for Unstructured Environments: Bio-Inspired Autonomy
Abstract: Insects, with their unparalleled agility, resilience, and highly efficient sensory-motor control in complex, unstructured environments, offer a rich blueprint for the next generation of autonomous robots. This study explores the design, implementation, and potential of insect-inspired robots, focusing on the synergistic integration of miniaturized sensor arrays and advanced Artificial Intelligence (AI) algorithms. We delve into bio-mimetic sensing, drawing inspiration from compound eyes, olfactory systems, and tactile hairs, to equip robots …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 3, Issue 2, 2025 · pp. 7–21 Read article
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Evaluation of Pulley Performance, Pulley Machine, and its Benefits and Drawbacks
Abstract: A rope is simply looped over a grouping of one or more wheels to create a pulley, which makes it simpler to lift anything. The force exerted by the body can be effectively multiplied by the use of a pulley. A wheel with a flexible rope, rope, cable, chain, or belt on its rim is referred to as a "pulley.". It is simpler to raise objects when using pulleys since …
Published in Trends in Machine design · Vol. 9, Issue 2, 2022 · pp. 12–16 Read article
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EMERGING TECHNOLOGIES RESHAPING INDUSTRIES
Abstract: Emerging technologies such as Artificial Intelligence (AI), machine learning and 5 G technology are reshaping industries rapidly. This paper contains knowledge about some of the key emerging technologies and their real-world applications in various sectors like health care, education, agriculture, transportation, finance. This includes some of the challenges and considerations arising due to the widespread use of these emerging technologies. Also exploring about the future directions due to adopting these …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 12, Issue 3, 2025 · pp. 1–10 Read article
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A Review of Torque Ripple Reduction Techniques in Switched Reluctance Motors
Abstract: Switched Reluctance Motors (SRMs) have emerged as a promising alternative to conventional motor technologies due to their rugged structure, low manufacturing cost, high-temperature capability, and suitability for harsh environments. Despite these advantages, the widespread adoption of SRMs in applications such as electric vehicles, household appliances, industrial drives, and aerospace systems is significantly restricted by the issue of torque ripple. Torque ripple manifests as periodic fluctuations in the developed electromagnetic torque, …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 3, Issue 2, 2025 · pp. 45–50 Read article
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Modelling of DFIG-based Wind Energy Conversion System
Abstract: AbstractToday wind energy plays important role in the competitive wind market. In this paper, we study the performance of the overall doubly-fed induction generator (DFIG) system under different conditions. The DFIG technology has proven to be an efficient and cost-effective solution for variable speed wind turbines. This system allows a variable speed operation over a huge range. In this system, rotor windings connected to grid through a bidirectional back-to-back IGBT-based …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 10, Issue 3, 2019 · pp. 59–64 Read article
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Telecom Radio Mobility Outage Forecast analysis
Abstract: Telecom industry is playing significant role for develop any other industry especially when digital paradigm has been started. In this new era telecom mobility is life line of routine work, academics, entertainment, banking services etc. For maintain such services telecom operators monitor on daily basis couple of Kpi, accessibility as well as retain ability & both Kpi dependent on network availability. The aim of this paper to develop a hypothesis …
Published in Journal of Power Electronics and Power Systems · Vol. 10, Issue 3, 2020 · pp. 43–47 Read article
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Integrated Computational and Bio-catalytic Transformations: DFT-Guided Mechanistic Insights, Machine Learning, and Nano-biocatalyst Engineering for Sustainable Catalysis
Abstract: Computational catalysis has emerged as a transformative scientific discipline that integrates quantum chemistry, molecular modeling, machine learning, and density functional theory (DFT) to understand catalytic mechanisms and design highly efficient catalytic systems for sustainable industrial applications. The increasing global demand for environmentally responsible chemical manufacturing has accelerated research on advanced catalytic materials including transition metal catalysts, metal–organic frameworks (MOFs), homogeneous catalysts, heterogeneous systems, and bimetallic catalysts involving nickel and iron. …
Published in Journal of Catalyst & Catalysis · Vol. 13, Issue 2, 2026 · pp. 36–44 Read article
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Artificial Intelligence Enhanced Waste Sorting and Classification System for Urban Recycling
Abstract: This study explores the potential of Artificial Intelligence (AI) and Machine Learning (ML) to enhance waste management efficiency within urban environments. Rapid urbanization has resulted in a surge of municipal waste, which current systems often struggle to manage effectively. The proposed AI-enhanced waste sorting and classification system aims to optimize waste collection routes and accurately forecast waste generation trends, thereby reducing operational costs, fuel consumption, and traffic congestion. Additionally, AI-driven …
Published in Current Trends in Signal Processing · Vol. 15, Issue 1, 2025 · pp. 23–32 Read article
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Programmed Used for Bottle Filling & Capping by Utilizing PLC
Abstract: Filling is the errand that's carried out by a machine and this prepare is broadly utilized in numerous businesses that create such as drain businesses, chemical, nourishment, mineral water and numerous mechanical makes. This paper objective is to program using for maintaining the Bottle filling and capping with PLC. This work gives with a part of benefits like moo control utilization, moo operational fetched, less upkeep, exactness and numerous more. …
Published in Journal of Mechatronics and Automation · Vol. 10, Issue 3, 2023 · pp. 1–7 Read article
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Intelligent Automated Guided Vehicle (AGV) System for Optimized Material Handling
Abstract: This project is the development of an Automated Guided Vehicle (AGV) system that has been developed to handle materials in the high-accuracy, reliability, and efficiency in industrial settings. The AGV is a combination of a blend of advanced technologies including sensor fusion, real-time path planning, and AI-based navigation to allow smooth and intelligent operation with minimal human intervention. The vehicle is able to efficiently identify, and evade obstacles by using …
Published in Trends in Mechanical Engineering & Technology · Vol. 16, Issue 2, 2026 · pp. 1–7 Read article
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Malicious Network Traffic Detection Using Hybrid Feature Selection with Ensemble Neural Network
Abstract: The detection of malicious network traffic is a critical aspect of cybersecurity, aiming to protect sensitive data and maintain the integrity of network systems. This study introduces a novel approach that combines hybrid feature selection with ensemble neural networks to enhance the accuracy and efficiency of malicious network traffic detection. The dataset used in this study was obtained from Kaggle and offers a wide-ranging and varied collection of network traffic …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 27, Issue 3, 2025 Read article
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IoT and Machine Learning in Green Smart Home Automation and Green Building Management
Abstract: AbstractInternet of things (IoT) is a developing concept, which aims to associate billions of devices with each other. The IoT devices sense, assemble, and transfer important information from their environments. This exchange of very large amount of information among billions of devices makes an enormous energy need. The radical growth in urbanization over the last few years needs sustainable, proficient, and smart clarifications for transport, governance, environment, quality of life, …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 10, Issue 3, 2019 · pp. 8–36 Read article
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Effect of hybrid plant-based cutting fluid in turning operation of EN19 steel and modelling of heat transfer equation for multiple phase colloids
Abstract: This article describes a project where an alternative to conventional Mineral Oil (MO) based cutting fluids is tried on the turning operation of steel samples. The deposit of petroleum is getting depleted day by day, the pollution due to fossil fuel is increasing exponentially and petroleum is getting more and more expensive. Due to these reasons, nonpetroleum (MO) based alternative cutting fluids have been in business for quite a while. …
Published in Journal of Polymer & Composites · Vol. 11, Issue 12, 2023 · pp. 175–185 Read article
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Implementation of Automated Pesticide Sprinkler in Existing Crop Cultivation Culture
Abstract: Advancement in agriculture helps in finding new solutions to improve efficiency. A way is to inculcate available data systems and technologies in the form of more smart machines to decrease wastage and focus on more efficient energy systems. We are now working towards sustainable in the 21st century. Today, mobiles and smart phones have become the most inseparable things in our lives. Smart Phones running on android applications are becoming …
Published in Journal of Production Research & Management · Vol. 10, Issue 2, 2020 · pp. 13–16 Read article
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Laser Engraving Machine
Abstract: Laser engraving technology has gained significant importance across various sectors, including manufacturing and prototyping, as well as in arts, due to its high precision and adaptability. Nevertheless, the high cost of commercial laser engraving systems often renders them inaccessible to small-scale users and educational institutions. From quick prototyping and large-scale production to creative industries like arts and crafts, laser engraving technology has become a very useful tool in many different …
Published in International Journal of Electronics Automation · Vol. 3, Issue 2, 2025 · pp. 6–13 Read article
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Enhancing Security of UPI Payments Through Artificial Intelligence
Abstract: The integration of Artificial Intelligence (AI) into modern digital payment systems has brought about a significant transformation in the banking and financial sector. Among these systems, the Unified Payments Interface (UPI), developed by the National Payments Corporation of India (NPCI), has emerged as one of the most successful real-time payment mechanisms due to its simplicity, accessibility, and efficiency. With the incorporation of AI technologies, UPI has witnessed notable improvements in …
Published in International Journal of Mobile Computing Technology · Vol. 3, Issue 2, 2025 · pp. 7–12 Read article