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134 articles for “High-speed machining”
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Optimizing Performance Characteristics, Thermal Stability, and Manufacturing Performance of Polymer Nanocomposites Using Artificial Intelligence
Abstract: Artificial intelligence (AI) has proven an efficient method to optimize the design and manufacture of polymer nanocomposites, allowing the proper prediction of the behavior of the materials and the results of the processing. This work proposes an AI-based framework to enhance the performance characteristics, thermal stability and manufacturing performance of advanced polymer nanocomposites. The input variables of the proposed framework are the material composition, the nanoparticle concentration, the particle size, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Comparative Evaluation of the Effect of Adhesive Restorative Techniques on the Reinforcement of Simulated Immature Permanent Teeth: An in Vitro Study
Abstract: The aim of the study was to compare the reinforcement effect of 3 different adhesive restorative techniques on simulated immature maxillary central incisors after apexification. A total of 30 simulated immature permanent maxillary central incisors were randomly assigned into 3 groups (n=10), according to the reinforcing technique used: Group 1: Nanohybrid composite. (Tetric N-Ceram Ivoclar Vivadent), Group 2: Short-fiber reinforced composite (everX posterior GC EUROPE) extended 3mm below CEJ, covered …
Published in Journal of Polymer & Composites · Vol. 10, Issue 3, 2022 · pp. 69–75 Read article
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Speed Control of An Inverter Fed Three-Phase Induction Motor Using IP Controller Considering Core Loss and Stray Load Loss
Abstract: Consideration of core losses and stray load losses to design a controller of an inverter fed induction motor are affected to the flux and torque decoupling strategy adversely. As a consequence, the detuning of field-oriented control (FOC) is required. The detuning strategies have been developed in some literatures. But the implementation of detuning becomes difficult because of higher order expression. In general, the controlling and estimation of AC drives are …
Published in Trends in Electrical Engineering · Vol. 5, Issue 1, 2015 · pp. 28–35 Read article
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Innovations in Targeted Drug Discovery for Personalized Medicine
Abstract: Personalized medicine is revolutionizing modern healthcare by custoizing treatment plans to match an individual’s genetic makeup, protein expression, and metabomlic characteristics. Also referred to as precision medicine, this approach seeks to improve therapeutic outcomes, reduce adverse effects, and make efficient use of healthcare resources. The incorporation of various omics technologies—including genomics, proteomics, transcriptomics, metabolomics, and epigenomics—has greatly advanced our ability to understand disease biology and molecular variations specific to each …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 3, 2025 · pp. 19–41 Read article
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Parametric Optimization of MRR in Manual Air Plasma Arc Cutting of AISI 1017 MS using Design of Experiment
Abstract: In previous fifty years there has been remarkable research in machining and development in technology. Now a days with rise in competition in the market and to achieve high accuracy; the nonconventional machining has become more important in any industry. One of the most important unconventional machining processes is plasma arc cutting (PAC). Its high accuracy, finishing, ability of machining very hard materials makes it more demanding in the market. …
Published in Journal of Materials & Metallurgical Engineering · Vol. 5, Issue 2, 2015 · pp. 22–28 Read article
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Numerical Studies on Deep Drawability of the Aluminium Alloy, AA6082 and Parameters Affecting It
Abstract: Deep drawing is a metal forming operation used for manufacturing sheet-metal components for application in the automobile, aerospace, and packaging industries. The objective of the present work was to study the various parameters influencing the drawability of AA6082. The deep-drawing process was modeled and simulated in Ls-Dyna Pre-Post(R) V4.6.17 software. The tensile test was performed according to the ASTM-E8M standard on AA6082-T6 material and subsequently annealed to attain higher ductility. …
Published in Journal of Polymer & Composites Read article
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Optimization of Process Parameters in EDM
Abstract: Extensive research has been done till date to improve the performance of electrical discharge machining (EDM). In the past few years, the Taguchi method has played an important role in the optimization of process parameters. However, many of the studies have focused on static or single-quality characteristics such as smaller-is-better, larger-is-better, and nominal-is-best. The Taguchi method is best suitable for relative analysis. The prime drawback here to mention is that …
Published in Journal of Mechatronics and Automation · Vol. 8, Issue 2, 2021 · pp. 21–28 Read article
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Investigation of Physical Characteristics and Machining Parameters of Improved Al-SiC MMC Using Dry EDM Process for Aerospace Industries
Abstract: Aluminium-based composite is widely used in aerospace and automobile industries because it is lighter in weight; but the trouble is that it is easily worn-out and life of the components is decreased. To overcome these problems, aluminium silicon carbide composite material has been developed with good wear-resistance, hardness and lighter weight. Silicon carbide has good mechanical properties like wear resistance, hardness, toughness and high melting point. Silicon carbide weight fractions …
Published in Journal of Experimental & Applied Mechanics · Vol. 9, Issue 1, 2018 · pp. 15–32 Read article
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AI/ML-Based Approach to Solar Irradiance Prediction and Energy Suitability
Abstract: In this paper, due to challenges in precisely predicting solar irradiance, which is essential for solar power system optimization, we employed six diverse machine learning (ML) techniques: Linear Regression, Decision Tree, Random Forest, Gradient Boosting methods (including XGBoost), and Neural Networks—to analyze and predict outcomes using a dataset containing meteorological and temporal features. Key variables include wind speed, humidity, and temperature, which significantly influence the model’s predictive capability. Each method …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 16, Issue 3, 2025 · pp. 36–48 Read article
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Laser Beam Machining Techniques and Applications: A Review
Abstract: Laser beam machining (LBM) is the most common thermal energy-based non-contact, non-conventional machining process. The non-conventional manufacturing processes are used to remove extra material using a variety of mechanical, thermal, electrical, chemical, or combinations of these energies without the use of sharp cutting tools as is required for conventional manufacturing. With innovative approaches to manufacturing processes, it has transformed a number of industries. It is frequently used to machine a …
Published in Journal of Microwave Engineering and Technologies · Vol. 11, Issue 3, 2024 · pp. 28–35 Read article
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Medical Science in the Digital Era: A Comprehensive Study on Computing in Healthcare
Abstract: Adding computers to medical science has changed how healthcare is delivered, how research is done, and how well patients do. This article talks about the many ways that computer technology is used in modern medicine, such as for diagnostic imaging, electronic health records (EHRs), telemedicine, surgical robotics, and research that is based on data. Improvements in artificial intelligence (AI) and machine learning have made it possible to make more accurate …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 3, 2024 Read article
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An Intelligent Modelling system for Automotive Vehicles
Abstract: In this paper it’s about the development of artificial intelligence that has fuelled technological advancements. Self-driving automobiles are an example of an innovative development. Nowadays, you may work or sleep in your car while driving to your destination without touching the steering wheel or accelerator. This project aims to create a workable model of a self-driving car capable of traveling on multiple tracks, including curved, straight, and straight followed by …
Published in Journal of Instrumentation Technology & Innovations · Vol. 15, Issue 1, 2025 · pp. 32–40 Read article
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Machine Learning-Based Channel Estimation in 5G, Beyond-5G, and 6G Networks: Recent Advances and Future Directions
Abstract: Accurate channel estimation is one of the most fundamental challenges in modern wireless communication systems. In fifth- generation (5G) New Radio (NR) and emerging sixth-generation (6G) networks, precise knowledge of the wireless channel is essential for achieving reliable data transmission, high spectral efficiency, and low Bit Error Rate (BER). Conventional estimation techniques such as Least Squares (LS) and Minimum Mean Square Error (MMSE) rely on mathematical channel models and predefined …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 13, Issue 2, 2026 Read article
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Explainable Machine Learning for Process Parameter Optimization in Gradient 3D-Printed Polymer Composites
Abstract: The explainable machine learning-based structure may be employed to achieve a favorable process parameter of the graduate 3D-printed polymer composite structures to improve the mechanical and thermal properties without compromising the transparency of the decisions made during the fabrication process. Gradient composite specimens were made by systematically varied process parameters like nozzle temperature, raster orientation, deposition speed, gradient transition rate and fused filament fabrication. A predictive model of tensile strength …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 847–866 Read article
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Design and Development of Electromagnetic Braking System Based on Electromagnetic Induction and Eddy Current
Abstract: In this paper, electromagnetic braking system has been developed that ensures passenger’s, driver’s and other road user’s safety and comfort. Most of the conventional braking system like mechanical, hydraulic, pneumatic have certain limitations. In mechanical brake, erosion of the mechanical pads is carried out by frictional force and requires periodic replacement of the bearing. Fluid leakage in hydraulic and pneumatic could lead to brake failure and reduces the effectiveness of …
Published in Trends in Machine design · Vol. 9, Issue 3, 2022 · pp. 9–23 Read article
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Sustainable Biomedical Polymer Composites Designed through Artificial Intelligence Approaches
Abstract: The development of sustainable biomedical polymer composites has become one solution that can be used to combat increasing environmental issues that have been presented by traditional medical materials without compromising functional performance. Implementation of the artificial intelligence (AI) in material design presents a paradigm shift of data-driven development, which improves the efficiency, accuracy, and scalability of composite development. The given work can serve as a universal guideline in developing biodegradable …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Design And Fabrication of Contactless Magnetic Gears
Abstract: Modern engineering prioritizes speed, efficiency, and reliability, spurring innovations like contactless magnetic gear systems that transmit torque through interacting magnetic fields from permanent magnets, eliminating physical contact to drastically cut friction, backlash, wear, lubrication needs, and heat—operating silently with minimal vibration and peak efficiencies up to 99% under ideal conditions, outperforming traditional gears in low-speed, high-torque direct-drive applications such as motors. The design centers on two rotors: an outer high-speed …
Published in Trends in Mechanical Engineering & Technology · Vol. 16, Issue 2, 2026 · pp. 42–49 Read article
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Next-Gen Techniques for Bottleneck Detection in High-Performance Computing
Abstract: Modern computing systems face new challenges in bottleneck detection and mitigation due to their increasing complexity which stems from multi-core architectures alongside distributed platforms and real-time processing needs. Traditional methods like hardware profiling and static analysis which used to work well now struggle to keep up with the changing conditions of dynamic system behaviors and diverse computing environments along with variable workload patterns. The current limitations restrict their capability to …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 2, 2025 · pp. 09–14 Read article
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An innovative antibiotic "Abaucin": Instigated by Artificial Intelligence
Abstract: Nosocomial Gram-negative pathogen, Acinetobacter baumannii repeatedly demonstrates multidrug resistance. Discovering novel antibiotics against A. baumannii has proven thought-provoking through conventional screening tactics. Providentially, machine learning approaches allow for the speedy exploration of chemical space, snowballing the probability of determining new antibacterial molecules. In the following research era, a neural network is accomplished with growth reserve dataset and accomplished in silico predictions for structurally unconventional molecules with commotion in divergence to …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 13, Issue 3, 2023 · pp. 29–33 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 Read article