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1979 articles for “E&P process” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Enhanced Oil Recovery through the Application of Nanoparticles with Irvingia Gabonensis in Flooding Process in the Reservoir
Abstract: This experimental investigation is aimed at establishing the ability of nanofluids formula from a mixture of nanoparticles and oil extracted from Irvingia gabonensis (bush mango) in enhancing recovery from oil reservoir. The laboratory study involved the use of core flooding unit, crude oil, brine, nano-particles and Irvingia gabonensis. In this study, nanofluids formulated from nanoparticles of aluminum oxide (Al 2 O 3 ) and zinc oxide (ZnO) respectively were used …
Published in Journal of Petroleum Engineering & Technology · Vol. 12, Issue 2, 2022 · pp. 1–9 Read article
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Smart Trolley System for Retail Stores: A Node MCU-Based Approach for IoT Integration
Abstract: This project report presents the design, development, and implementation of an RFID and IoT-based Smart Trolley System. The project is a collaborative effort undertaken by a group of dedicated individuals. The primary objective is to enhance the traditional shopping experience by leveraging advanced technologies to improve efficiency, convenience, and data analytics in retail environments. The Smart Trolley System integrates Radio-Frequency Identification (RFID) technology and the Internet of Things (IoT) to …
Published in Journal of Semiconductor Devices and Circuits · Vol. 11, Issue 2, 2024 Read article
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Modeling and Acoustic Analysis of Noise Vibration in Automotive Gearbox by Non-destructive Testing
Abstract: A gearbox is used for transferring power from the engine to the wheels. Predicting the vibration and noise radiation from a dynamic system like a gearbox gives designers an insight early in the design process. It was conducted experimental and modeling of vibration and noise for magnitude and pressure level variations in a Peugeot 206 automotive 5-speed gearbox. It was extract vibration data related to different periodic processing and then …
Published in Journal of Experimental & Applied Mechanics · Vol. 11, Issue 3, 2020 · pp. 54–63 Read article
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DOCSNAP: Integrating NLP and Computer Vision for Comprehensive Document Summarization
Abstract: Because of the exponential growth of digital content, sophisticated tools are required for effective data interpretation and administration.. This project harnesses the capabilities of the Gemini AI model developed by Google DeepMind to address the challenges of PDF summarization and image captioning. Gemini AI integrates cutting-edge algorithms, including transformer architectures, to process textual and visual data seamlessly. The project's system architecture involves modules for text and image extraction, with a …
Published in Journal of Instrumentation Technology & Innovations · Vol. 14, Issue 2, 2024 Read article
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Conceptualization of An Intelligent Decision Framework for Control Factors and Weld Quality Prediction
Abstract: To improve the robot's welding quality, control welding precision, optimize welding parameters, realize continuous welding quality database optimization, and increase welding defect detection, a fuzzy neural network-based intelligent decision-making system must be built. This study demonstrates how fuzzy control theory and BP neural networks may be used to identify welding issues and enhance process variables. The experimental findings indicate that, with seam classification accuracy close to 90%, enhancing welding parameters …
Published in Journal of Polymer & Composites · Vol. 11, Issue 6, 2023 · pp. 10–19 Read article
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Optimization of Process Parameter in 3D Printing to Minimize Wear Loss and increase Tensile Strength
Abstract: Additive Manufacturing (AM) and especially Fused Deposition Modeling (FDM) has emerged as a very versatile process of manufacturing polymer components with complex and highly-integrated geometries. Polylactic Acid (PLA) is a favorite of the many thermoplastic FDM materials because of its biodegradability, easy processing and predictable mechanical properties. The study aimed at maximizing critical parameters in FDM process in order to reduce wear loss and also increase tensile strength of PLA …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 849–858 Read article
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Super Ni 718 Machinability Investigation on Electrical Discharge Machining Using Hybrid Al 7(075+178) Electrode Under Abrasive Assisted Dielectric
Abstract: As aluminum alloy is the lightest metal and has the best mechanical qualities among metal, it has proven to be a perfect choice for strututal industry, particularly in the aerospace sector.7xxx alloys from the Al alloy family are widely used in aviation constructions due to their outstanding processing, welding efficiency, great specific strength & stiffness, and high toughness. The two aluminum alloys that are most frequently used in airplane structures …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 1–17 Read article
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A Review Paper on Friction Stir Processing on Aluminium Alloys
Abstract: Friction stir processing is a step from friction stir welding, targeted at surface modification through improving the local microstructure via localized plastic deformation. The tool consists of a rotating mechanism incorporating a shoulder and pin that are inserted into the material, traversing the designated area. When the tool's shoulder and the workpiece make contact, friction develops, generating heat that produces plastic deformation. This localized plastic deformation and heat impact result …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 2, Issue 1, 2024 · pp. 1–8 Read article
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IoT-Based Real-Time Monitoring System for Temperature and Humidity Control in Pharmaceutical Manufacturing
Abstract: Environmental conditions, especially temperature and humidity, play a vital role in pharmaceutical manufacturing processes. Even minor fluctuations in these parameters can significantly influence the stability, potency, and overall effectiveness of drug formulations. In many cases, uncontrolled environmental variations may lead to chemical degradation, reduced shelf life, contamination risks, and substantial financial losses for manufacturers. Therefore, maintaining precise and consistent environmental conditions is essential to ensure product quality, regulatory compliance, and …
Published in International Journal of Mobile Computing Technology · Vol. 4, Issue 1, 2026 · pp. 32–37 Read article
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The Convergence of AI and Composites - A Review Anchored in Patent Trends
Abstract: The integration of artificial intelligence (AI) and machine learning (ML) techniques is revolutionizing the design, analysis, and optimization of polymer (PC/FRP), metal (MC), and ceramic matrix composites (CC). Techniques such as artificial neural networks (ANN), deep learning (DL), genetic algorithms (GA), and physics-informed machine learning (PIML) are employed to enhance property estimation, process optimization, and predictive modeling. These AI-driven frameworks enable virtual testing, application-specific material design, and real-time decision-making, while …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 182–198 Read article
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Fluid and Ion Transport in Cement-Based Materials: A Systematic Review
Abstract: The development of fluid and ions in some concrete is occurred according to four basic mechanisms: capillary suction is due to capillary action inside of cement paste, permeation due to on pressure gradients, Diffusion is happened due to concentration gradients, and migration is due to electrical potential gradients. In this paper the transportation processes in concrete are described. Every process has a brief introduction to the physical mechanism by providing …
Published in Recent Trends in Fluid Mechanics · Vol. 10, Issue 1, 2023 · pp. 20–24 Read article
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Analysis of Bioethanol Production from Agricultural Waste using Simultaneous Saccharification
Abstract: This research was carried out to investigate the possibility of producing a bioethanol using an agricultural waste with the adoption of simultaneous saccharification method. The results collected during the investigation shows that the effect of different varied parameters on the yield of bioethanol from potato peels and other different characterization carried out on the produced bioethanol shows possibility in the reliability of the production process where A(B), A(0.5) and A(2) …
Published in Journal of Petroleum Engineering & Technology · Vol. 12, Issue 1, 2022 · pp. 9–15 Read article
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An Experimental Study of Spherical Agglomeration of Benzoic acid And Influence of Process Parameters
Abstract: Through the process of drowning-out crystallisation in three partly miscible solvent mixtures, sphere aggregates of benzoic crystal have been successfully created. The mixture of benzoic acid, isopropyl alcohol, and bridging liquid is supplied to an agitated crystallizer with water acting as the anti-solvent. When a substance crystallises, little crystals are formed, and the bridging liquid causes the crystals to group together. Different solvents are utilised because benzoic acid crystals wettably …
Published in Emerging Trends in Chemical Engineering · Vol. 9, Issue 2, 2022 · pp. 19–28 Read article
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Role of Reinforcement Learning in Improvement of Semiconductor Doping
Abstract: The semiconductor industry faces increasing challenges in achieving optimal doping profiles as device dimensions shrink and performance requirements intensify. Traditional doping optimization methods, while effective, often struggle with the complex, multi-dimensional parameter spaces characteristic of modern semiconductor manufacturing. This study explores the transformative role of reinforcement learning (RL) in improving semiconductor doping processes, examining how RL algorithms can autonomously optimize doping parameters to enhance device performance, reduce manufacturing costs, and …
Published in Journal of Semiconductor Devices and Circuits · Vol. 12, Issue 2, 2025 · pp. 23–34 Read article
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Speech Recognition and Analysis using Energy of the Signal
Abstract: AbstractSpeech plays an important role in day to day communication. It is a natural way to transfer thoughts from one to another. If any information needs to deliver in between human’s speech is the best way of delivery. With the help of the electronic system, we can extract the information from the original speech signal by doing signals processing. Here, in this research work, we formulate the system that recognizes …
Published in Current Trends in Signal Processing · Vol. 8, Issue 2, 2018 · pp. 25–33 Read article
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Fabrication and Optimization of Process Parameters for Friction Stir Welding AA7075+10%wt.SiC Composite by Taugchi Method
Abstract: Aluminium alloy 7075 as matrix and silicon carbide (SiC) as reinforcement has been widely used in aircrafts and space industries because of high strength to weight ratio. Fusion welding of this Aluminium Metal Matrix Composite (MMC) will lead to many problems such as porosity, micro-fissuring and hot cracking. However, friction stir welding (FSW) can be used to weld this MMC without above mentioned defects. Objective of this investigation are fabrication …
Published in Journal of Experimental & Applied Mechanics · Vol. 9, Issue 3, 2018 · pp. 102–112 Read article
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Evaluation of Speech Recognition System for Security Purposes using Comparative Correlation Method
Abstract: Humans rely heavily on language for communication and most often, speech (oral) is one of the commonest means of communication. The speech recognition system is a smart system which grants access to users by recognizing the speech of the authorized user. Speech recognition is smart and precise in terms of authentication and validation. The problem with most security systems is imbalance pitch estimation, random noise and increment in theft due …
Published in Current Trends in Signal Processing · Vol. 12, Issue 3, 2022 · pp. 1–9 Read article
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Enhancing Human-Computer Communication and Interaction Through Natural Language Processing
Abstract: The advancement of natural language processing (NLP) has significantly enhanced human-computer communication (HCC), transforming how users interact with machines. Traditionally, HCC relied on command-based interfaces and graphical user interfaces (GUIs), but the introduction of conversational artificial intelligence (AI) systems powered by NLP has revolutionized this field. This paper explores the role of NLP in improving communication between humans and computers, emphasizing its impact on language understanding, context processing, and interactive …
Published in International Journal of Computer Science Languages · Vol. 3, Issue 1, 2025 · pp. 13–26 Read article
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Drug Design and Process Chemistry: Bridging the Gap between Discovery and Manufacturing
Abstract: This review explores how drug discovery connects with process chemistry to enable large- scale pharmaceutical manufacturing. While drug discovery identifies and optimizes therapeutic compounds, process chemistry adapts these compounds for mass production, addressing challenges in scalability, cost, and quality. The article examines the role of early collaboration between drug designers and process chemists, recent innovations in green chemistry and flow chemistry, and case studies that illustrate successful scale-up strategies. Emerging …
Published in Trends in Drug Delivery · Vol. 12, Issue 1, 2025 · pp. 09–21 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