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492 articles for “Machining”
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Machining process simulation of SOM 125 series printing machine components using CATIA V5 Machining
Abstract: Based on the additional competition in the marketplace, producers who used traditional manufacturing contracts and policies, has to adopt computer aided manufacturing techniques for the point of producing process planning and NC-programming more effective. By applying appropriate software with multiple skills, significant gains in terms of production lead-time can be achieved and a higher level of precision in the manufacture can be certained. In this study, an attempt to use …
Published in International Journal of Computer Aided Manufacturing · Vol. 1, Issue 2, 2016 · pp. 40–50 Read article
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Review on Recent Trends in Laser Assisted Machining of Hard to Cut Materials
Abstract: Laser-assisted machining (LAM), an alternative method of fabricating hard-to-machine materials, like ceramics, composites, Titanium alloy, Nickel based alloy are being developed and widely utilized in aerospace, automotive, medical and nuclear industries due to their special properties. These materials posing many challenges when machined with the help of Conventional methods of machining. Conventional methods of machining these materials are found to be uneconomical. Among the various external energy assisted machining methods, …
Published in International Journal of Manufacturing and Materials Processing · Vol. 7, Issue 2, 2021 · pp. 49–57 Read article
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Enhancing Machining Sustainability: ComparativeAnalysis of Dry, Minimum Quantity Lubrication, andCryogenic Cooling Methods
Abstract: AbstractSustainable machining is crucial for minimizing the environmental, economic, and social challengesassociated with modern manufacturing. This study reviews environmentally sustainable machiningapproaches including dry machining, Minimum Quantity Lubrication (MQL), and cryogenic cooling,and evaluates their effects on machining performance and sustainability. Key performance indicators,such as surface integrity, tool wear, energy efficiency and cutting forces, are analyzed across variousmaterials. The findings demonstrate that dry machining eliminates liquid waste but is often limited bytool …
Published in International Journal of Manufacturing and Materials Processing · Vol. 11, Issue 1, 2025 · pp. 1–7 Read article
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A Study on Machine-Learning-Driven Insight into theThermal Behavior of Polymers and Composite Materials
Abstract: The thermal performance of polymeric and composite systems underpins their suitability for aerospace, electronics, and energy‑storage applications, yet reliable prediction of temperature‑dependent properties remains a formidable challenge. In this work we present a data‑driven framework that harnesses modern machine‑learning (ML) techniques to forecast key thermal metrics – glass‑transition temperature (Tg), melting point (Tm), thermal conductivity (k), and decomposition onset (Td) – from a chemically informed descriptor space. A curated database …
Published in International Journal of Polymer Science and Engineering · Vol. 12, Issue 1, 2026 · pp. 1–11 Read article
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Discovery of Materials through Applied Machine Learning and General Machine Learning Architecture
Abstract: Advances in artificial intelligence technologies, especially machine learning, have generated possibilities in the material sciences to facilitate material exploration and to achieve a profound understanding of the relationship between the constituent elements of the material and the properties represented by the material. The application of machine learning to the exploration of experimental materials is sluggish due to the monetary and temporal costs of experimental data, however parallel methods, such as …
Published in International Journal of Analog Integrated Circuits · Vol. 6, Issue 2, 2020 · pp. 48–57 Read article
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Comparative Study of Machining Parameters on Electrical Discharge Machining of Inconel 718 using Copper and Copper- Tungsten Electrode.
Abstract: The present scenario in all the manufacturing industries is to make a priority list to cope up the challenges imposed by the superior materials like alloys, ceramics and composite materials which have difficulty for machining. In this study, comparison of experimental results which is found by optimization of machining parameters on material removal and tool wear rate along with two different electrodes material such as copper and copper tungsten for …
Published in International Journal of Metallurgy and Alloys · Vol. 4, Issue 1, 2018 · pp. 1–8 Read article
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Eco-friendly Manually Operated Floor Dust and Road Cleaning Machine
Abstract: Cleaning is an important part of the everyday routine. Cleaning and sanitizing effectively benefit and safeguard human health both directly and indirectly. Our surrounds are kept clean with the help of the road cleaner. Cleaning has become a basic need for all human beings, and it is unavoidable daily routine process. In general, numerous machines such as electric motors, diesel engines, and robots are utilized to clean the floor and …
Published in International Journal of Mechanics and Design · Vol. 7, Issue 2, 2021 · pp. 41–44 Read article
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Metallurgical and Machinability Characteristics of Wrought and Selective Laser Melted Ti-6Al-4V
Abstract: This examination work shows a machinability ponder between created review titanium and specific laser softened (SLM) titanium Ti-6Al-4V in a face turning operation, machined at cutting paces in the vicinity of 60 and 180 m/min. Machinability attributes, for example, device wear, cutting powers, and machined surface quality were examined. Covering delamination, attachment, scraped spot, steady loss, and chipping wear instruments were overwhelming amid machining of SLM Ti-6Al-4V. Greatest flank wear …
Published in International Journal of Metallurgy and Alloys · Vol. 3, Issue 1, 2017 · pp. 9–12 Read article
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Predictive Models for Drinking Water Quality: Leveraging Machine Learning for Improved Safety and Efficiency
Abstract: Quality of drinking water is one of the critical determinants of public health, leading to severe environmental and health-related issues when poor. The paper examines the integration of machine learning techniques that could improve accuracy and efficiency in assessing drinking water quality. The traditional techniques of monitoring drinking water are resource-intensive yet lack timely insight into contamination events. In this scenario, an evaluation of the performance of ML models such …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 11, Issue 1, 2025 Read article
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Predictive Analytics in E-Learning: Enhancing Student Performance Through Machine Learning Models
Abstract: With the explosion of electronic devices and internet technologies in today’s world, the amount of data we store has grown massively. Data is simply information that has been organized in a way that makes it easy to share or work with. A potent technology that enables computers to learn from data without direct programming is machine learning, which we employ in our research. The focus of this study is on …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 10, Issue 2, 2024 · pp. 1–5 Read article
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Unlocking Insights, Optimizing Processes: A Review Of Machine Learning In Action
Abstract: Machine learning (ML) has become a disruptive technology with applications in many different fields and sectors. Machine learning techniques are transforming the way data is examined, patterns are found, and decisions are made in a variety of industries, including healthcare, finance, manufacturing, and transportation. ML is improving drug discovery, treatment strategies, and diagnostics in the healthcare industry. In the financial sector, this means maximizing risk mitigation, credit scoring, and fraud …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 10, Issue 1, 2024 · pp. 14–22 Read article
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Virtual Machine-Based Task Scheduling Algorithm
Abstract: Cloud computing is a type of internet-based computing that provides shared computer processing resources and other devices on demand. It is very useful for the applications which sharing their resource on different nodes and also cloud computing has more scalability. The performance and efficiency of cloud computing always depends on the performance of user tasks. Virtualization concept was introduced to improve the efficiency of cloud computing. Virtualization refers to creating …
Published in International Journal of Software Computing and Testing · Vol. 3, Issue 1, 2017 · pp. 18–26 Read article
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Support Vector Machine-based Flower Image Classification for Commercial Applications
Abstract: Flowers are crucial raw materials in many industries, including pharmaceuticals and cosmetics. Classifying flowers manually is time-consuming, inconsistent, and requires professional judgment from a botanist. Computer-aided flower classification is a promising approach to this problem. Image classification often employs support vector machines (SVMs) as widely favored algorithms. This study evaluated the performance of SVMs for flower image classification. The results showed that SVMs can achieve good accuracy on this task, …
Published in International Journal of Software Computing and Testing · Vol. 9, Issue 2, 2023 · pp. 44–53 Read article
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From Traditional to Digital: An Analysis of Vending Machine System Evolution
Abstract: This paper proposes a smart vending machine system that makes use of Internet of Things (IoT), UnifiedPayments Interface (UPI), Radio-Frequency Identification (RFID), product level detection, andGPS/GPRS notification to provide a more efficient, secure, and easy vending experience for operatorsand customers. RFID is used for user authentication, and UPI facilitates payment transactions so thatusers can quickly make purchases without using cash or credit cards. Product level detection makessure that products are …
Published in International Journal of Electrical Power System and Technology · Vol. 10, Issue 1, 2024 · pp. 1–7 Read article
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Adaptive Finite Element Machine for Real-time Structural Damage Detection
Abstract: Systems for monitoring structural health (SHM) are essential for guaranteeing the consistency and safety of civil infrastructure. The timely identification of structural deterioration is crucial in order to avert major malfunction and save upkeep expenses. In this research, we describe a unique real-time structural damage detection method based on Adaptive Finite Element Machine (AFEM). To locate and diagnose structural degradation in an adaptable manner, AFEM combines machine learning methods with …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 9, Issue 2, 2023 · pp. 8–14 Read article
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A Review on Surface Error Compensation in Thin-Walled Component Machining
Abstract: *Author for CorrespondenceManikandan HareendranE-mail: [email protected] 1,4,5,6Associate Professor, Department of Mechanical Engineering, Mangalam College of Engineering (APJAKTU), Kottayam, Kerala, India2,3Assistant Professor, Department of Mechanical Engineering, Mangalam College of Engineering (APJAKTU), Kottayam, Kerala, India7Professor, Department of Mechanical Engineering, Mangalam College of Engineering (APJAKTU), Kottayam, Kerala, India Received Date: November 12, 2024Accepted Date: November 14, 2024Published Date: November 22, 2024 Citation: Rajeeve K. Mohana, Santhu Varghese Thomas, Rahul Krishnan, Johan George Cherian, Navish …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 10, Issue 2, 2024 · pp. 1–11 Read article
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Advances in Machine Learning and Data Analytics: A Multidisciplinary Synthesis
Abstract: Machine learning has emerged as a key driver of innovation across a wide range of fields. Its transformative potential is evident in natural language processing, computer vision, and real-time automation, where it addresses intricate challenges with remarkable efficiency. This paper delves into recent developments in machine learning, spotlighting techniques, such as semi-supervised learning frameworks, stable diffusion models for generative tasks, and advanced lightweight architecture for real-time defection detection. By integrating …
Published in International Journal of Distributed Computing and Technology · Vol. 11, Issue 1, 2025 · pp. 12–17 Read article
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A Role of Machine Learning for Students' Academic Success Prediction
Abstract: This research paper aims to identify early predictions of students’ academic success with the help of different indicators. One of the crucial parts of the study is identifying additional indicators that play an essential role in defining students' academic success. Early prediction of success will be helpful for various stakeholders such as students, parents, educators/teachers, institutions, universities, and the government. Machine Learning is a part of Artificial Intelligence (AI) and …
Published in International Journal of Computer Aided Manufacturing · Vol. 10, Issue 1, 2024 · pp. 1–6 Read article
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Effect of Abrasive Water Jet Machining Parameters—An Experimental Investigation
Abstract: Machining studies on the fiber reinforced polymer composites is vital requirement for the composites application in different fields. Particularly advanced machining techniques like abrasive water jet machining can be machined with higher accuracy and distortion free composites. In this work aims to study the abrasive machining parameters on the basalt fiber polymer composites. The woven basalt fiber reinforced polymer composites were prepared using hand layup techniques. The machining effect of …
Published in International Journal of Composite and Constituent Materials · Vol. 6, Issue 2, 2020 · pp. 21–23 Read article
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Development of VMC Fixture for End Cap of TFO Twister Machine to Reduce Setup Time
Abstract: In industries, different types of fixtures are used to hold and support the workpiece according to requirements to ensure dimensional accuracy during machining. This paper presents the solution for an industrial problem to develop a single fixture for machining of an end cap of a two-for-one (TFO) twister machine. Currently, two different fixtures are used for performing different operations on the end cap in a horizontal and vertical position on …
Published in International Journal of Manufacturing and Materials Processing · Vol. 6, Issue 1, 2020 · pp. 24–30 Read article