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252 articles for “optimization in mechanical engineering”
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A Review on Application of Biogeography-based Optimization in Mechanical Engineering
Abstract: Engineers are always keen to learn from nature. This motivates development of optimization techniques from mathematics of biogeography called as biogeography-based optimization (BBO). This method can be very useful in some mechanical simulations as they are complex and computationally expensive. In this paper, survey on the application of biogeography-based optimization and its modified approaches in mechanical engineering has been provided. Cite this Article Anand N Barai, Jaimin Pandya, A Review …
Published in Journal of Experimental & Applied Mechanics · Vol. 7, Issue 1, 2016 · pp. 18–21 Read article
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Artificial Intelligence for Polymer and Nanocomposite Materials: Performance Prediction, Manufacturing Optimization, and Future Perspectives
Abstract: The exceptional mechanical properties, design flexibility, and lightweight nature of polymer composite and nanocomposite materials make them indispensable in a wide range of applications, including aerospace, automotive, construction, biomedical, and energy sectors. The optimization of the strength, durability, and manufacturing efficiency of polymer composite and nanocomposite materials is highly challenging because their performance depends on matrix composition, reinforcement type, fiber or nanoparticle distribution, interfacial interactions, processing conditions, and environmental factors. …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Statistical Modeling of Heat Transfer and Fluid Dynamics: Application in Mechanical Engineering Design
Abstract: Understanding and optimizing the intricate processes involved in heat transfer and fluid dynamics—two concepts essential to mechanical engineering design—require statistical modeling. Engineers can forecast, regulate, and enhance the performance of systems including heat exchangers, turbines, cooling mechanisms, and different fluid machinery by using statistical approaches. In order to address uncertainties, variability in material properties, boundary conditions, and operational parameters, this work investigates the integration of statistical modeling tools in the …
Published in Research & Reviews : Journal of Statistics · Vol. 13, Issue 2, 2024 · pp. 18–22 Read article
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The Impact of High-Performance Computing on FEA and CFD Simulations
Abstract: The integration of advanced simulation techniques, such as Finite Element Analysis (FEA) and Computational Fluid Dynamics (CFD), has transformed mechanical design by enabling engineers to develop optimized, efficient, and reliable systems. FEA is widely applied to analyze structural mechanics, thermal stresses, and vibrations, offering detailed insights into material behavior and design performance. On the other hand, CFD focuses on simulating fluid flow, heat transfer, and aerodynamic performance, making it indispensable …
Published in Journal of Aerospace Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 26–35 Read article
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Crystal Engineering Strategies for Tailoring Mechanical Properties of Structural Materials
Abstract: Crystal engineering has emerged as a promising approach for designing materials with tailored mechanical properties, enabling advancements in various fields such as aerospace, automotive, and construction. This review examines the diverse strategies employed in crystal engineering to manipulate the mechanical behavior of structural materials. One key strategy involves controlling the crystal structure at the atomic level through techniques such as alloying, doping, and phase transformations. Alloying introduces foreign atoms into …
Published in International Journal of Crystalline Materials · Vol. 1, Issue 1, 2024 · pp. 01–06 Read article
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Mathematical Modelling and Comprehensive Review on the Application of Evolutionary Strategies in Design Optimization of Shell and Tube Heat Exchangers
Abstract: This review article presents the application of different evolutionary algorithms which have been utilized for design and optimization of shell and tube heat exchangers in the last decade. The traditional trial and error design approaches can be replaced by such evolutionary algorithms. These evolutionary techniques do not need information of derivatives and hence it can be implemented in various heat exchangers geometry without much complication. Many such EA’s are successfully …
Published in Trends in Mechanical Engineering & Technology · Vol. 7, Issue 3, 2017 · pp. 67–78 Read article
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Topology Optimisation of Continuum Structures in Civil Engineering using Firefly Algorithm -III
Abstract: This paper is in continuation of the ongoing research work on topology optimization in structural engineering. Metaheuristics are widely used for structural optimization and firefly algorithm has been consistently giving better designs. In this paper, a few civil engineering structures are designed and analysed. The results were compared with those existing in the literature.Cite this ArticleTanuja DV, Chandrasekhar KNV.Topology Optimisation of ContinuumStructures in Civil Engineering usingFirefly Algorithm -III. Journal ofExperimental …
Published in Journal of Experimental & Applied Mechanics · Vol. 8, Issue 2, 2017 · pp. 33–38 Read article
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Current Trends in Optimization of Parameters of Electric Discharge Machining Process: A Review
Abstract: Wire-cut electrical discharge machining (EDM) is an emerging machining process for machining hard-to-machine materials and intricate shapes which are impossible to make with conventional machining process. The optimum selection of input parameters for the wire electrical discharge machining (WEDM) process is based mainly on the technology used and experience of the operator. This paper reviews the effect of most significant input process parameters of WEDM such as pulse on, pulse …
Published in Trends in Mechanical Engineering & Technology · Vol. 6, Issue 2, 2016 · pp. 25–33 Read article
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Trends and Applications of Artificial Intelligence in Mechanical Engineering: A Review
Abstract: Artificial Intelligence (AI) has become a revolutionary force across various fields, including mechanical engineering, where it is redefining traditional approaches to design, manufacturing, maintenance, and overall system optimization. This review aims to provide a comprehensive introduction to AI and explore its diverse applications within the domain of mechanical engineering. The study begins with a foundational overview of AI, including key concepts such as machine learning, neural networks, deep learning, and …
Published in Journal of Mechatronics and Automation · Vol. 12, Issue 3, 2025 · pp. 30–35 Read article
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Engineered Polymer Composites for Non-Surgical Lip Posture Correction in Facial Paralysis
Abstract: Facial paralysis presents significant functional and aesthetic challenges, particularly through lip posture deficits such as drooping and drooling, often inadequately addressed by traditional surgical or drug-based interventions, especially in debilitated patients. This study explores the application of engineered polymer composites in a novel, non-surgical lip posture corrector designed to statically suspend and correct lip position without requiring surgical or dental support. The device utilizes a precisely formulated blend of polymethylmethacrylate …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 Read article
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Optimization Of Mechanical Properties Of 500/7 Grade Ductile Cast Iron (DCI) By Using SMAW: Applications In Reinforced Composites And Thermoplastics Through Taguchi & GRA
Abstract: Welding, a critical manufacturing process, is broadly engaged to join metals and thermoplastics using heat, pressure, or both. This study inspects the Shielded Metal Arc Welding (SMAW) method to optimize welding parameters and improve the mechanical properties of Ductile Cast Iron (DCI) grade 500/7, a material widely used in high-strength and thermal conductivity applications in aerospace and automotive sectors. Using an L9 OA (orthogonal array), experiments were conducted on nine …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 204–222 Read article
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Structure-Property Modeling and Engineering Optimization of Biodegradable Starch-Cellulose Biofoams for Sustainable Packaging
Abstract: Since the packaging industry is an engineered product with complex composites that involve a close relationship between composition, processing, and performance, optimization of formulation, cellular morphology, and engineering performance of biodegradable starch-based biofoams presents a considerable challenge. This study proposes a machine-learning-aided structure–property modeling framework to design and optimize starch-based biodegradable biofoams for sustainable packaging applications. A physics-informed synthetic dataset consisting of 10,000 formulations was created based on engineering relationships …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
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Dynamic Analysis and Optimization Locomotive Railway Wagon Wheel: A Review
Abstract: This paper deals with the dynamic analysis and optimization locomotive wagon wheel. The aim of this review paper is to investigate stresses developed at the wheel structure due to the dynamic loading and their optimization. The railway vehicle has various highly stresses, mechanical components such as wheel, axle, joints, rail, etc. This report is an effort to summarize the subject field of experiments and their comparability with the dynamic analysis …
Published in Trends in Mechanical Engineering & Technology · Vol. 7, Issue 3, 2017 · pp. 8–24 Read article
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Experimental Techniques for Investigating Microstructural Effects on Solid Mechanics Behavior
Abstract: It is critical to comprehend the complex interaction between mechanical behavior and microstructure in order to optimize material performance and create solid engineering components. In the topic of solid mechanics, this review article offers a thorough summary of the experimental methods used to look into the influence of microstructural characteristics on solid behavior. It highlights the fundamentals, possibilities, and uses of a broad variety of experimental techniques, including as mechanical …
Published in Journal of Experimental & Applied Mechanics · Vol. 14, Issue 3, 2023 · pp. 24–32 Read article
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SmartCloud: Extending an AI-Powered Cloud Storage System with Automated S3 Glacier Archiving, SimHash Near-Duplicate Detection, and a Custom-Trained Random Forest Recommendation Engine
Abstract: Cloud storage services have become fundamental infrastructure for both individuals and organizations, yet they continue to charge users for every byte retained without offering any mechanism to automatically reduce that footprint over time. Files accumulate progressively, near-identical document revisions go undetected, and cold data occupies expensive active storage tiers indefinitely. The present work introduces SmartCloud, a fully deployed multi-cloud storage optimization platform that addresses these inefficiencies through four integrated engineering …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 13, Issue 2, 2026 · pp. 36–44 Read article
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Electromagnetic and Dielectric Performance of Polymer–Ceramic Composite Substrates for Fractal-Based IoT-Antenna Fabrication
Abstract: Polymer–ceramic composite substrates play a crucial role in determining the electromagnetic performance, mechanical stability, and thermal reliability of radio-frequency devices. In this work, a polymer-based composite substrate is systematically investigated for its suitability in compact IoT and RFID antenna applications. A fractal-structured antenna is employed as a functional test platform to evaluate the dielectric behavior, impedance characteristics, and radiation efficiency of the composite substrate. Novelty of the proposed reader antenna …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1518–1534 Read article
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Employ of Design of Experiments for Optimization of Instinctive Variables in Turning Operation: A Review
Abstract: In recent years, due to tremendous progress in manufacturing industries, great changes have especially been ascertained in machining of metals. Every manufacturing industry intent to produce a massive number of commodities within comparatively lesser time. This persuades optimization problem which endeavor to access the best parametric combination for the manufacturing process. This paper presents a critique of optimization of instinctive variables in turning operation by employing various techniques of Design …
Published in Trends in Mechanical Engineering & Technology · Vol. 5, Issue 2, 2015 · pp. 7–16 Read article
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Robotics and Automation in Mechanical Engineering: Transforming Modern Manufacturing Systems
Abstract: Robotics and automation have significantly transformed mechanical engineering, particularly in manufacturing, precision assembly, and intelligent systems integration. With the advancement of sensors, control systems, artificial intelligence, and mechatronics, robotic systems are now capable of performing complex tasks with high accuracy, repeatability, and efficiency. This article explores the role of robotics in modern mechanical applications, including industrial automation, collaborative robots, predictive maintenance, and smart manufacturing. It also discusses design considerations, challenges, …
Published in International Journal of Manufacturing and Production Engineering · Vol. 4, Issue 1, 2026 · pp. 27–33 Read article
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DESIGN AND DEVELOPMENT OF COMPRESSED AIR ENGINE
Abstract: The consumption of fossil fuels has gone up to such a high level that problems like global warming, ozone layer depletion has become a prominent issue of concern .In order to protect the environment, harnessing of renewable energy is important. Having this overview in our mind, we designed and developed a model of a compressed air engine. This model utilizes the energy of compressed air to do mechanical work. To …
Published in Journal of Automobile Engineering and Applications · Vol. 4, Issue 2, 2017 · pp. 40–47 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