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719 articles for “Engineering optimization”
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Adaptive Routing Protocol to Optimize the Quality of Service of MANET Using Neural Network
Abstract: A MANET is a group of mobile nodes that create a temporary network without relying on centralized administration or standard supporting devices, often functioning as a conventional network. These dynamic environments present significant challenges for traditional routing and switching protocols, particularly in delivering Quality of Service (QoS) benchmarks such as bandwidth, latency, packet delivery ratio, and robustness. This study proposes an Adaptive Routing Protocol (ARP) leveraging Neural Network (NN) techniques …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 12, Issue 3, 2025 · pp. 01–09 Read article
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A Thorough Examination of the Chemical Engineering Process: Fundamentals, Design, and Application
Abstract: This article gives a full picture of the chemical engineering process, focusing on the basic ideas, methods, and tools that make up the profession. It looks at how chemical, physical, and biological processes change raw materials into useful goods, with a focus on how design, optimization, and control work together in industrial systems. Some of the main topics talked about are process design, thermodynamics, reaction engineering, transport phenomena, and sustainability. …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 16, Issue 3, 2025 · pp. 14–25 Read article
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Effectiveness of PTFE-Based Nano-coatings in Improving Corrosion and Wear Resistance of Stainless Steel
Abstract: Polytetrafluoroethylene (PTFE) has emerged as a highly effective material for enhancing the durability and performance of metal surfaces, particularly in environments requiring superior corrosion resistance and low friction. This study investigates the application of PTFE coatings on various metallic substrates, with a focus on stainless steel and carbon steel, to improve their corrosion resistance, wear protection, and tribological performance. Utilizing advanced deposition techniques such as sol-gel and plasma spray, PTFE …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 2, Issue 2, 2024 · pp. 32–38 Read article
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Application of Fuzzy Logic Method for Optimisation of Spot Welding Parameters of Stainless Steel (AISI 304)
Abstract: Resistance spot welding process is used for joining stainless steel (AISI 304) sheets. An experiment was carried out to investigate the influence of welding parameters like current, weld time and electrode force on the Tensile-Shear (T-S) strength of the weld joint. Experiments based on Taguchi method are conducted in which three factors, three levels were used. Fuzzy logic based approach is used to predict output i.e. tensile shear strength.Keywords: Optimisation, …
Published in Trends in Mechanical Engineering & Technology · Vol. 5, Issue 1, 2015 · pp. 51–56 Read article
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Optimization of Green Sand Casting Process Parameters by Artificial Neural Network
Abstract: In this paper, artificial neural network (ANN) is used to train the network which can predict the casting defect. L27 orthogonal array is used as input matrix for training of neural network. NN tool is used to train the network for prediction of defects. Major defects observed on shop floor were; misrun, blowholes, inclusions and porosity. Moisture, permeability, LOI, compressive strength, volatile content, vent holes, pouring time, pouring temperature, mould …
Published in Trends in Mechanical Engineering & Technology · Vol. 6, Issue 2, 2016 · pp. 75–80 Read article
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Mathematical Modelling of Semiconductor Device Physics: An Analytical Approach
Abstract: Semiconductor device physics forms the foundation of modern electronic and optoelectronic technologies. Mathematical modelling provides a rigorous framework for understanding, predicting, and optimizing the behavior of semiconductor devices by linking physical principles with device-level performance. This work presents an analytical approach to the mathematical modelling of semiconductor devices, emphasizing the derivation and interpretation of governing equations that describe charge transport and electrostatic behavior. The model is based on fundamental physical …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 13, Issue 1, 2026 · pp. 36–42 Read article
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Evaluating the Effect of the EGR Rate on the Performance and the Emission of VCR Engine Operating on Jatropha Biodiesel Blends
Abstract: AbstractThe modern diesel engines running on biodiesel employ many techniques to encounter strict exhaust emission norms. Among the many techniques suggested to mitigate the NOX emission from the compression ignition engine, the Exhaust Gas Recirculation (EGR) system is being employed extensively. The EGR curtails the proportion of the oxygen in the mixture and lowers the flame temperature inside the cylinder. This research is intended to investigate the influence of the …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 9, Issue 1, 2018 · pp. 7–14 Read article
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Study of technical and economic assessment of solar-assisted and thermoelectric air-conditioning technologies
Abstract: This study presents an integrated technical and economic assessment of solar-assisted absorption and thermoelectric air-conditioning technologies for residential cooling applications. A comprehensive methodology combining mathematical modelling, experimental characterization of thermoelectric modules, numerical simulation, and economic optimization was developed to evaluate the performance of both cooling systems. The solar-assisted system employs single-effect LiBr–H₂O absorption chillers operating under water-cooled and air-cooled configurations, simulated using TRNSYS and Engineering Equation Solver (EES), while the …
Published in International Journal of Energy and Thermal Applications · Vol. 4, Issue 2, 2026 Read article
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Optimization of Process Parameters in Electro-discharge Machining of EN24 Steel using Grey-Taguchi Method
Abstract: Electric Discharge Machining (EDM) is one of the nontraditional machining processes used to produce critical shape on hard or brittle conductive materials and it can also besuccessfully applied on materials that are extremely difficult-to-machine using traditional machining processes. In this experimental analysis the optimum machining parameters areestimated using Taguchi based method for EN24 steel which have wide range of application in aircraft, automotive and general engineering applications for example- propeller …
Published in Journal of Experimental & Applied Mechanics · Vol. 7, Issue 2, 2016 · pp. 48–53 Read article
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Design and Manufacturing of Suspension and Steering System of a F3 Vehicle
Abstract: The suspension and steering systems are critical subsystems of any formula-style racing vehicle, directly influencing its stability, handling, and driver safety. This paper focuses on the design, analysis, and manufacturing of suspension and steering systems for a Formula Student F3 vehicle. The primary objective is to develop a lightweight, reliable, and efficient design that complies with Formula Student competition rulebooks while ensuring optimum ride quality and performance. Using advanced computer-aided …
Published in Trends in Mechanical Engineering & Technology · Vol. 15, Issue 3, 2025 · pp. 1–12 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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Data-Driven Material Design and Performance Improvement: Constructing Sustainable Polymer Nanocomposites Using Deep Learning
Abstract: In the formation of sustainable polymer nanocomposites, the effective material techniques are required to balance the mechanical qualities, environmental compatibility and processing efficiency. The optimization of polymer matrix, nanofiller loading, processing conditions and material properties is typically time consuming, resource intensive and highly dependent on trial-error methodology using standard experimental techniques. The present work provides a data-driven approach that combines deep learning with sustainable polymer nanocomposite design for predicting and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Myco-Engineering Systems: Harnessing Fungal Networks for Carbon Sequestration and Sustainable Ecosystem Restoration
Abstract: Fungal organisms play a foundational role in global ecosystem stability, particularly through their contributions to nutrient cycling, soil regeneration, and carbon sequestration. Recent scientific advances have highlighted the potential of fungal mycelial networks as natural bioengineered systems capable of supporting sustainable environmental restoration. This paper introduces the concept of Myco-Engineering Systems, an interdisciplinary framework that integrates fungal biology, environmental science, and artificial intelligence (AI) to enhance carbon capture and ecosystem …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 16, Issue 2, 2026 · pp. 11–22 Read article
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The Art of Drug Design and Process Chemistry
Abstract: The creation of safe and efficient medications depends heavily on the art of drug design and process chemistry. This multidisciplinary discipline designs and optimizes drug candidates for therapeutic uses by fusing the concepts of biology, chemistry, and engineering. Researchers can develop compounds with pharmacological activity by using logical drug design techniques if they have a thorough understanding of the molecular targets implicated in disease pathways. By making it easier to …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 3, Issue 1, 2025 · pp. 1–10 Read article
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Differential Model of Wave Vibration on Strings and Rods
Abstract: Vibration, as a physical phenomenon, plays a multifaceted role in both natural and engineered systems. Beyond its essential contribution to communication through sound and speech, it finds critical application in various technological domains. For instance, in the design of stringed musical instruments such as violins and guitars, precise manipulation of string vibrations defines tonal quality and musical resonance. Similarly, metal rods in tuning forks exhibit vibrational properties that are finely …
Published in Research & Reviews : Journal of Physics · Vol. 14, Issue 1, 2025 · pp. 17–21 Read article
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Selection of Optimal Threshold in Digital Images using Collision Entropy and Min Entropy
Abstract: AbstractImage segmentation partitions an image into multiple segments based on properties of discontinuity and similarity. Thresholding is one of the important methods for image segmentation. It is used to discriminate foreground from the background of an image. The selection of suitable threshold value in the image is a challenging task. Thresholding value depends upon the randomness of intensity distribution of the image. Entropy is a parameter to measure the randomness …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 4, Issue 2, 2017 · pp. 25–31 Read article
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Optimization of Microstrip Antenna for WLAN and WiMax Lower Band Applications
Abstract: In this article, novel antennas are investigated for WLAN (2.40–2.48 GHz) and WiMax lower band (2.495–2.695 GHz) applications. In this paper, two designs are proposed having the same patch length 29.4 mm, width 38 mm, dielectric constant 4.4 and substrate thickness of 1.6 mm. Simulated results of each proposed antenna such as bandwidth, return loss, VSWR and smith chart is presented. The proposed antennas are simulated with the help of …
Published in Journal of Microwave Engineering and Technologies · Vol. 3, Issue 2, 2016 · pp. 19–24 Read article
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Machine Learning-Assisted Design and Optimization of Lightweight Polymer Composites for IoT-Enabled Automotive Applications
Abstract: This study aims to develop an integrated machine learning and optimization framework for the intelligent design of lightweight polymer composites suited for IoT-enabled automotive applications. The goal is to enhance material performance while satisfying multiple design constraints such as mechanical strength, thermal stability, and process compatibility. A curated dataset of polymer composite formulations was used to train a Random Forest Regression (RFR) model capable of predicting tensile strength, thermal conductivity, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 12–27 Read article
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Prediction of Mechanical Properties for Advanced Engineering Applications utilizing Polymer Composite Materials by Machine Learning
Abstract: Polymer composites show great promise as engineering materials because of their mechanical performance, resistance to corrosion, lightweight nature, and adaptability in design. Aerospace, automotive, biomedical, maritime, and civil engineers all rely on mechanical property prediction to cut down on trial expenses, expedite product development, and optimize material selection. Speedy design optimization is not possible using traditional numerical and experimental methods due to the high costs associated with material characterisation, computational …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1258–1284 Read article
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Develop the Design of Sustainable Polymer Materials: Applying Reinforcement Learning, IoT-Enabled Monitoring, and Data-Driven Manufacturing Approaches
Abstract: Sustainable polymer materials development is a must due to resource constraints, environmental concerns, and the demand for designed materials with high performance. When it comes to material optimization, energy utilization, process unpredictability, and lifecycle sustainability, traditional polymer production methods have their challenges. Reinforcement Learning (RL), Internet of Things (IoT) monitoring, and data-driven production are utilized in the design and manufacturing of sustainable polymer materials. It is recommended to use Internet …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1207–1231 Read article