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608 articles for “simulation process”
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Modeling and Analysis of the Impact of Natural Gas Composition Variations on Combustion in a Dual Fuel Compression Ignition Engine
Abstract: The desire to meet rising energy demands while simultaneously adhering to stringent climate policies has propelled advanced combustion technologies and alternative fuels. Natural gas (NG) is an attractive, domestically-available alternative that has been shown to achieve high efficiencies when used on dual fuel engines. However, the composition of NG can vary significantly depending on the source and these variations may detrimentally impact engine operation. To study these effects, a dual …
Published in Journal of Automobile Engineering and Applications · Vol. 5, Issue 2, 2018 · pp. 1–14 Read article
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Extended Kalman Filter Application For Launch Vehicle Trajectory
Abstract: Real time applications have been implemented out of intuitive modeling but due to inefficient estimation techniques there were deviations in the results from expected processes. To avoid these deviations for better performance modeling, many mathematical state estimation methods are in use. This paper focuses on a state estimation method for monitoring and control of a real time system. The existing models for state estimation, as well as the challenges associated …
Published in Journal of Control & Instrumentation · Vol. 3, Issue 1-3, 2012 · pp. 41–49 Read article
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Experimental Study on the Effect of Nose Radius for Multiple Responses in Turning of EN24 Using Grey Analysis
Abstract: The present work is to study the effect of turning process parameters on the multiple responses of material removal rate (MRR) and surface roughness (Ra). The experiments were carried out on EN24 a medium carbon steel which has a wide range of applications in the field of aircraft and automotive and mainly use in components such as gears, shafts, studs and bolts, connecting rods, propeller or gear shafts and aircraft …
Published in Journal of Mechatronics and Automation · Vol. 5, Issue 3, 2018 · pp. 10–16 Read article
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Comparison of RSM and ANN Modeling Approaches in Predicting the Laser Phase Transformation Hardening Parameters on the Heat Input and Hardened-Bead Profile Quality of Unalloyed Titanium
Abstract: In the present work, laser transformation hardening (LTH) of unalloyed titanium, nearer to ASTM Grade 3 of chemical composition was investigated using CW 2kW, Nd: YAG laser. The laser process variables such as laser power, scanning speed, and focused position play a major role in deciding the laser hardened bead quality. Two methods, Response Surface Methodology (RSM) and Artificial Neural Network (ANN) were used to predict the heat input and …
Published in Journal of Materials & Metallurgical Engineering · Vol. 5, Issue 1, 2015 · pp. 36–59 Read article
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Hydrodynamic and Sedimentation Modelling for Capacity Optimization of OR1, OR2, and Fertilizer Berths at Visakhapatnam Port, India
Abstract: This study presents comprehensive hydrodynamic and sediment transport modeling undertaken to assess the impact of proposed deepening and development at the Western Arm of the Visakhapatnam Inner Harbor, India, encompassing OR1, OR2, and Fertilizer berths. The work, carried out by the Central Water and Power Research Station (CWPRS) for the Visakhapatnam Port, utilized the MIKE 21 Flexible Mesh (FM) finite-volume model to simulate hydrodynamic and siltation conditions under existing and …
Published in Journal of Water Resource Engineering and Management · Vol. 13, Issue 1, 2026 · pp. 33–51 Read article
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Design of Differential Evolution Optimized PI Controller for a Temperature Process
Abstract: Differential evolution is a new stochastic population-based optimization algorithm. It is an accurate, fast and robust optimization method. In this paper, a PI controller is used and differential evolution optimization technique is used to optimize the controller parameters. The robust controller parameters are obtained by solving the optimization problem, which consists of objective functions and constraints, using differential evolution method. Here differential evolution is implemented in tuning of a PI …
Published in Journal of Control & Instrumentation · Vol. 3, Issue 1-3, 2012 · pp. 17–26 Read article
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Depression Detection Using AI with Chatbot Support
Abstract: Depression is a major global health concern and a significant contributor to suicide rates worldwide. India reports a high number of suicide cases, making the early detection of mental distress and depression essential for timely intervention. This research presents an AI-based system for depression detection that integrates deep learning, natural language processing (NLP), and a chatbot for user support. The system analyzes facial expressions using convolutional neural networks (CNNs) and …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 14, Issue 1, 2025 · pp. 01–08 Read article
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Computational Simulations in Drug Discovery: Modeling Protein Folding and Drug Binding
Abstract: Computational simulations have become essential tools in drug discovery, offering unprecedented insights into molecular behavior at the atomic level. These simulations, particularly in the domains of protein folding and drug binding, allow for the exploration of complex biological systems that are often difficult to study experimentally. Protein folding, a critical aspect of drug discovery, involves the transition of a polypeptide chain from an unfolded to a biologically active structure. Understanding …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 1, 2025 · pp. 23–29 Read article
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Enhancing Computer Science Education through Visualization and Engagement
Abstract: The topic of visualization and engagement in computer science. This research paper attracts attention to computer science education. Computer science education is considered a very difficult course by many computer science students. But given that computer education is such an important science, this paper explores the significance of visualization techniques and engagement strategies in computer science education. Computer science education helps us understand dynamic processes such as the working of …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 3, 2025 Read article
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SIMULATION OF ETHANOL DISTILLATION USING CHEMCAD
Abstract: Aiming for Sustainable and low-Cost operation of ethanol distillation. The recovery step is usually carried out during the distillation process and is challenging, particularly regarding purity, operating cost issues. This study aimed to evaluate the ethanol distillation from ethanol-methanol and water mixture as a function of the reflux ratio in a process employing a Fractionating column. Test were performed using a standard mixture of ethanol, methanol and water using total …
Published in Emerging Trends in Chemical Engineering · Vol. 6, Issue 2, 2019 · pp. 1–6 Read article
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Implement Artificial Intelligence and Machine Learning for Engineering Design, Predictive Modeling, and Optimizing Polymer Nanocomposites
Abstract: Polymer nanocomposites are high performance engineered materials obtained by inclusion of nano-sized fillers into the polymer matrix to enhance mechanical, thermal, electrical, barrier and functional properties. However, the complex and non-linear interactions among polymer chemistry, nanofiller characteristics, filler concentration, dispersion, interfacial bonding and processing conditions make it challenging to anticipate and maximize their properties. Artificial intelligence (AI) and machine learning (ML) offer powerful data-driven solutions to these difficulties by establishing …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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A Secure Storage Model with Authentication and Optimal Key Generation Based Encryption
Abstract: In digital forensics, ensuring the secure storage of digital evidence is crucial. This paper introduces a new method that uses advanced encryption and key generation techniques to protect digital evidence throughout an investigation. Cloud forensics, a modern approach to digital forensics, aims to safeguard evidence from online hacking. However, storing all evidence in one central location can reduce its reliability. To address this, we propose a digital forensics architecture for …
Published in Journal of Control & Instrumentation · Vol. 17, Issue 1, 2026 · pp. 7–13 Read article
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In-silico Approach of Few Selected Phytoconstituents on Newer Cancer Targets
Abstract: Background: Cancer’s high death rates are mainly due to, drug resistance and unmet medical demands. It necessitates novel anticancer medications. AI tools aid in efficient and faster drug discovery by analyzing data, modeling processes and optimizing pipeline stages. Aim: The aim of this present study is to evaluate phytoconstituents against novel and newer cancer targets. Methodology: The ligands Daidzein, Resveratrol and Genistein were targeted against the Glutamate dehydrogenase (PDB ID …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 15, Issue 3, 2024 · pp. 12–17 Read article
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Environment- friendly Pavement Construction Using Plastic Trash and Reclaimed Asphalt Pavement-An Overview
Abstract: Plastic pollution has emerged as a significant environmental concern, with detrimental effects on ecosystems and human health. As a waste product contaminating air, water, and land, plastic poses a grave threat to the environment, perpetuating a global crisis. Its non-biodegradable nature means that once produced, plastic persists indefinitely, accumulating in landfills, water bodies, and natural habitats. This widespread accumulation of plastic waste not only compromises the aesthetic value of landscapes …
Published in Journal of Polymer & Composites · Vol. 12, Issue 3, 2024 · pp. 116–123 Read article
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Evaluation of Critical MMAW Welding Defects Using Computer Simulation in Industrial Manufacturing Systems
Abstract: Manufacturing is one of the key sectors of any countries GDP and welding is one of the prime manufacturing processes of the manufacturing sector. Welding has several notable advantages over mechanical joining techniques, including higher structural integrity, design flexibility, and cost and weight lowers. Welded products/structures are subjected to serious issues of residual stresses and distortions. The performance and sturdiness of the welded structures are severely impacted by weld remaining …
Published in International Journal of Industrial and Product Design Engineering · Vol. 3, Issue 2, 2025 · pp. 18–26 Read article
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Enhanced Oil Recovery (EOR) Process through Miscible Gas Injection: A Case Study of an Iranian Oil Reservoir
Abstract: Speedy computers and development in equations’ numerical solutions have enhanced applying simulation to predict the behavior of oil and gas reservoirs. The pressure in hydrocarbon reservoirs reduces overtime due to utilization of oil and gas resources until the fluid pressure itself is no more able to transfer it to the surface, and even if it reaches to the surface, its production is not cost-effective. Whereas, large amounts of hydrocarbon resources …
Published in Journal of Petroleum Engineering & Technology · Vol. 5, Issue 2, 2015 · pp. 1–8 Read article
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Physics-Informed Neural Networks for Multiphysics Analysis of Biomedical Polymer Composite Systems
Abstract: Physics-Informed Neural Networks (PINNs) offer an effective model of solving coupled multiphysics equations in biomedical polymer composite systems, which are data-driven. In the given work, the PINN method is presented where equations of elasticity, mass diffusion, and heat transfer are integrated to model the complex processes that take place in composite biomaterials. The neural network loss is specified to include the governing partial different equations which enables both the system …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Performance enhancementof Discrete Event Simulation in Project Management for Optimal Project Results
Abstract: The key to project success is having clear objectives. A lot of projects fail because their outcomes are not clear and the processes required to achieve them are not clear. Conventional methods of project management often operate on fixed schemes and simplifying assumptions which do not convey what actually happens in production or operation management. Ways of working of similar systems use caution in their assessment; the claim is that …
Published in Journal of Production Research & Management · Vol. 16, Issue 2, 2026 · pp. 20–25 Read article
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Performance enhancement of Discrete Event Simulation in Project Management for Optimal Project Results
Abstract: The key to project success is having clear objectives. A lot of projects fail because their outcomes are not clear and the processes required to achieve them are not clear. Conventional methods of project management often operate on fixed schemes and simplifying assumptions which do not convey what actually happens in production or operation management. Ways of working of similar systems use caution in their assessment; the claim is that …
Published in Journal of Automobile Engineering and Applications · Vol. 16, Issue 2, 2026 · pp. 20–25 Read article
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Optimized Design and Control of Oil Exploitation Strategies: An Assisted Approach
Abstract: Because there are so many factors and scenarios to consider, optimizing oil exploitation tactics requires complicated decision-making. Conventional approaches frequently concentrate on particular elements of the design infrastructure, which restricts their capacity to fully handle the process. In order to maximize a set of oil exploitation variables in a hierarchical fashion, this research proposes a novel assisted optimization technique that combines mathematical algorithms with engineering analysis. By grouping variables into …
Published in Journal of Petroleum Engineering & Technology · Vol. 15, Issue 1, 2025 · pp. 29–34 Read article