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1312 articles for “work in process”
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Examining Experimentally the Impact of Spot-Welding Process Variables on Metal Matrix Composites
Abstract: Metal matrix composites work in concert with reinforcement to improve the material's qualities. Reliability in joining metal matrix composites using traditional methods is challenging. Friction Stir Welding has demonstrated the ability to solve numerous issues that arise in traditional welding procedures. Initially, the Friction Stir Welding (FSW) welding procedure produced metal seams that were solid. Additionally, FSW was expanded to join MMCs and their alloys. The purpose of this review …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 193–201 Read article
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Optimization of Process Parameters of an Induction Furnace for Aluminium 6061 using Robust Design Approach
Abstract: Electric induction furnaces are extensively used in the foundry industries for the preparation of alloys and metal castings. The induction furnace works on the principal of electromagnetic induction. Some of the applications of induction heating include heat treatment, melting, surface treatment and in food industry. The detailed study about the working of an induction furnace was done. The induction furnace procured by mechanical department of our college is made by …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 4, Issue 1, 2017 · pp. 6–12 Read article
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Implementation of Image Processing Technique to Assess the Surface Free Energy of Asphalt Binder
Abstract: The adhesive properties of asphalt binder are considered as a major issue in the durability of the pavement. When asphalt cement does not match the standard specification required for paving work, one of the existing remedy processes is to implement modifiers to enhance the quality. Image processing technique can detect the variation in the adhesive properties through the assessment of surface free energy of the binder. In the present assessment, …
Published in Trends in Transport Engineering and Applications · Vol. 9, Issue 1, 2022 Read article
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Lead Time Reduction in Pipe Manufacturing: An Application of Value Stream Maps and 5S
Abstract: The pipe manufacturing industry has a considerable effect on the economic growth of a country. In this competitive scenario, manufacturing industries receive immense pressure for providing high-quality products at affordable cost, and on-time delivery. This paper aims to reduce lead times in a small-scale pipe industry plant by the application of the Value Stream Mapping (VSM) technique. The products of the plant are Resin Polyvinyl Chloride (RPVC) pipes, RPVC suction …
Published in Journal of Polymer & Composites Read article
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Effect of Processing Methods and Fiber Content on Mechanical and Abrasive Wear Performance of Sisal Fiber/PLA Biocomposites
Abstract: AbstractIn this work, an attempt is made to study the effect of processing methods and fiber content on mechanical properties and abrasive wear behavior of polylactide-based biocomposites reinforced with sisal fiber. Three processing methods namely film-stacking, melt- impregnation and solvent-impregnation were used for fabricating unidirectional sisal fiber- reinforced biocomposites. The impact of processing methods and fiber content on biocomposites was assessed through evaluation of mechanical properties, viscoelastic behavior and abrasive …
Published in Journal of Polymer & Composites · Vol. 1, Issue 3, 2013 · pp. 1–9 Read article
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Automated Blood Cell Counting and Disease Identification Using Image Processing: Implications for Polymer Composite- Based Biomedical Diagnostic Devices
Abstract: Accurate quantification of blood cells is central to clinical decision-making and to the performance of emerging polymer composite–based diagnostic platforms. This work presents a cost-effective, image-processing pipeline for automated counting of red blood cells (including overlapping cells), white blood cells, and platelets from Leishman-stained peripheral blood smears, and articulates its relevance to polymer composite microfluidic and biosensor devices. Implemented in Python with OpenCV, the workflow performs grayscale conversion, median/Gaussian denoising, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 262–270 Read article
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Nano- Catalysts for Enhanced Performance in Hydrogenation Reactions
Abstract: The development of nano-catalysts has revolutionized the field of hydrogenation reactions, offering unparalleled efficiency and selectivity. This study explores the synthesis, characterization, and application of novel nano-catalysts designed to enhance hydrogenation processes. By leveraging advanced materials science techniques, we have engineered catalysts with precisely controlled particle sizes, shapes, and surface properties. These nano-catalysts exhibit remarkable activity and stability, attributed to their high surface area-to-volume ratios and unique electronic structures. Our …
Published in Journal of Catalyst & Catalysis · Vol. 11, Issue 1, 2024 · pp. 22–27 Read article
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Electrical Discharge Machining for Precision Metal Working Industries
Abstract: EDM is called as Electrical Discharge Machining. Otherwise called as Spark Erosion Machining, Electro-Erosion Machining, Spark Machining, and Electro Discharge Machining. It is an unconventional machining process to machine hard metals and alloys. EDM has been a significant machining technique. The electrode, work piece materials, dielectric, and the range of pulse rate, current, and voltage make up the basic EDM process. The dielectric serves the following purposes: it transports removal …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 1, Issue 2, 2023 · pp. 7–11 Read article
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Physical Modeling of Mass Transport Processes in Extraterrestrial Landscapes
Abstract: Currently the progress in physical models based on mass transport in both the Earth's surface and extraterresterial landscape has been growing. It is a frame work involving different natural and made made processes including aeline process, fluid flow process, magmal movement, Geomagnetic stroms, and clould flow modesl etc. These process encorporates Physical models and appraches which help to simulate, compute and experiment in order to reduce complexity. However, their operating …
Published in International Journal of Universe · Vol. 1, Issue 2, 2025 · pp. 47–54 Read article
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A Study on Oil and Gas Processing Facility in a Part of Upper Assam Basin
Abstract: Crude oil that is produced from the oilfields cannot be directly sent to the refineries for further processing. It must undergo additional processing before being sent to refineries to prevent pipeline corrosion, resolve transportation issues and satisfy the crude specification of the refinery which can be achieved by oil and gas processing facility. It is an integral part of the upstream petroleum industry, which meets the required specifications of oil …
Published in Journal of Petroleum Engineering & Technology · Vol. 6, Issue 3, 2016 · pp. 1–6 Read article
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Design of a Plant for the Production of Ammonia and Urea Using Aspen HYSYS
Abstract: The design of a plant for the production of 1800 MT/Day of ammonia and 1400 MT/Day of urea using aspen HYSYS was carried out in this work. Ammonia is produced through the Haber-Bosch process, where hydrogen and nitrogen react in the presence of a catalyst producing mixture containing ammonia while urea is produced by the reaction between ammonia and carbon IV oxide. In this work, aspen HYSYS, chemical engineering design …
Published in Emerging Trends in Chemical Engineering · Vol. 9, Issue 1, 2022 · pp. 29–44 Read article
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A review on micro hot embossed Fresnel lenses
Abstract: Background: Micro replication techniques like HE allows for the large-scale manufacturing of the micro components which use polymers like Polymethyle methacrylate, Polycarbonate, polystyrene as the work material. In the hot embossing process, key parameters include applied pressure, temperature during heating, duration of embossing, and temperature during demolding. Research Objectives: Developing straightforward and affordable methods to produce the micro featured molds needed for the hot embossing is a significant research goal. …
Published in Journal of Polymer & Composites · Vol. 12, Issue 8, 2024 · pp. 12–28 Read article
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Targeting Homogentisate Dioxygenase Dysfunction in Alkaptonuria: Investigating Curcuma longa’s Therapeutic Potential
Abstract: Objectives: Alkaptonuria is known to have a faulty gene HGO in the metabolic process. In the present research work, the focus is towards investigating the therapeutic capabilities of the Curcuma longa upon the faulty Homogentisate dioxygenase gene using ligand-protein binding, which would assist in the corrective tyrosine metabolism. Methods: This study is based on the computational approach using different phytochemicals for evaluation of the potency against the abnormal Homogentisate dioxygenase …
Published in International Journal of Biochemistry and Biomolecule Research · Vol. 2, Issue 2, 2024 · pp. 1–11 Read article
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Utilizing AWS Advanced Services for Modernizing and Refactoring Legacy Systems to Achieve Cloud-Native Capabilities
Abstract: Updating and restructuring outdated systems is essential for organizations seeking to harness the scalability, adaptability, and robustness offered by cloud-native architectures. Legacy systems can obstruct innovation because of their rigid structure, expensive maintenance, and inability to scale effectively. Amazon Web Services (AWS) provides a comprehensive suite of advanced services that enable the efficient transformation of such systems into modern, cloud-native solutions. This paper explores strategies and best practices for utilizing …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 1, 2025 · pp. 44–65 Read article
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TensorFlow: Architecture, Applications, and Future Challenges
Abstract: TensorFlow, an open-source machine learning platform created by Google, has revolutionized how artificial intelligence (AI) systems are built and implemented. Designed to support scalable and flexible model training across CPUs, GPUs, and TPUs, TensorFlow enables researchers and developers to construct advanced deep learning models with efficiency and precision. This study provides an in-depth examination of TensorFlow's architecture, including its use of dataflow graphs and tensor-based computation. We explore its adaptability …
Published in Journal of Open Source Developments · Vol. 12, Issue 2, 2025 · pp. 41–50 Read article
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A Meta-Analysis of the Role of Serverless Computing Models in Modern e-Healthcare Systems
Abstract: The integration of serverless computing models in e-healthcare systems represents a paradigm shift in healthcare technology infrastructure. This meta-analysis examines the role, benefits, and challenges of serverless architectures in modern healthcare applications, focusing on studies published between 2019 and 2025. Serverless computing offers unprecedented scalability, cost-efficiency, and operational flexibility, making it particularly suited for healthcare applications handling variable workloads such as medical imaging processing, real-time patient monitoring, and electronic health …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 3, 2025 · pp. 49–58 Read article
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Modeling of MHD Hybrid Nanofluid Flow with Radiation and Chemical Reaction Effects for Advanced Composite and Energy Applications
Abstract: Hybrid nanofluids reinforced with polymer-based matrices and nanoparticles have emerged as promising working fluids for advanced composite processing and thermal management systems. Their superior thermo-physical properties enable efficient cooling and energy transport, making them suitable for applications in polymer extrusion, composite curing, thermal insulation coatings, solar energy devices, electronic packaging, and nuclear system cooling. In this study, we investigate the heat and mass transfer behavior of magnetohydrodynamic (MHD) hybrid nanofluid …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 648–660 Read article
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Effect of Various Process Parameters on MRR in Manual Air Plasma Arc Cutting of AISI 1017 Mild Steel using ANN
Abstract: As per recent industrial surveys it is investigated that manufacturing companies define the quality of thermal cutting process by the dimension of work material and cutting surface appearance. Therefore, the surface roughness and material removal rate (MRR) are primarily considered. In this work the effect of three input parameters air pressure (P), cutting current (I) and cutting velocity (v) on material removal rate (MRR) is obtained experimentally. An artificial neural …
Published in Journal of Mechatronics and Automation · Vol. 2, Issue 2, 2015 · pp. 8–14 Read article
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Effect of Annealing Temperature on the Structural, Morphological and Electrochemical Properties of Ruthenium Oxide Electrodes
Abstract: Transition metal oxide thin films are in great demand for a variety of technical applications, Ruthenium oxide is one of them having distinct structural, optical, chemical, and electrical properties. The structural and morphological characterization of Ruthenium oxide thin film electrodes created using the sol-gel spin coating process is covered in this work. For annealing, temperatures between 200°C and 900°C were employed. To examine electrochemistry, cyclic voltage measurement and chronopotentiometry were …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 10, Issue 2, 2023 · pp. 15–24 Read article
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Redesigning the Pump Assembly Layout to Enhance the Productivity
Abstract: This paper discusses the productivity improvement in pump layout. The whole paper deal with the causes for higher cycle time in the production of pump and developing the efficient and effective layout. To accomplish the goal, analyse the cycle time of all work stations by the help of stop watch, with the help of the assembly worker and stop watch the data is collected. The cycle time graph are drawn …
Published in Trends in Machine design · Vol. 5, Issue 3, 2018 · pp. 20–26 Read article