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894 articles for “parameters optimization”
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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 Buffer Layer for Enhancement of the Photovoltaic Performance
Abstract: Kesterite Cu2ZnSnS4 (CZTS) based photovoltaic device is becoming increasingly prominent due to better efficiency with distinct device structures. In the present paper CZTS based thin film solar cell have been investigated by using SCAPS-1D simulation software. Various parameters of the solar cell have been varied to study the impact on the photovoltaic performance of the device. Further, the performance of the solar cell at different parameters have been optimized. Using …
Published in Journal of Microcontroller Engineering and Applications · Vol. 8, Issue 1, 2021 · pp. 19–24 Read article
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Tribological Behaviour of Epoxy-Marble Powder Composite with Taguchi Optimization Technique
Abstract: Epoxy resin strengthened with marble powder particles is prepared by ultrasonic mixing strategy. Pin-on-Disc wear trial of the developed composite is done concurring with Taguchi optimisation. An orthogonal array is displayed and analysed the affecting parameters like fraction of marble powder reinforcement, load, sliding speed and track diameter on the composite. Signal to noise ratio analysis optimises the parametric conditions that yield minimum wear rate, minimum frictional force and minimum …
Published in Trends in Mechanical Engineering & Technology · Vol. 8, Issue 2, 2018 · pp. 110–117 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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Experimentation design of various edible and non-edible oils-based biodiesel using response surface methodology
Abstract: The current research presents the experimentation design for three input process parameters for the optimization of biodiesel production. The response surface methodology using CCRD is applied through design expert 6.0.8 tool. The small factorial is applied to reduce the experiments to some extent. It has been observed that response surface methodology is the effective technique to design the experiments as compared to other statistical techniques. Furthermore this tool has been …
Published in Trends in Machine design · Vol. 10, Issue 1, 2023 · pp. 39–44 Read article
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Thermal Performance Analysis and Optimization of Pin-Fin Heat Sink Using CFD, Taguchi Method, and Machine Learning
Abstract: Efficient thermal management is essential for improving the performance and reliability of modern engineering systems and electronic devices. This study presents the design, simulation, and optimization of a pin-fin heat sink using SolidWorks for three-dimensional modeling and ANSYS for thermal and computational fluid dynamics (CFD) analysis. Four different pin-fin geometries, namely square, pentagon, octagon, and circular fins, are considered to evaluate their thermal performance under varying operating conditions. Aluminum is …
Published in Trends in Mechanical Engineering & Technology · Vol. 16, Issue 2, 2026 · pp. 8–20 Read article
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Performance Optimization of Reflectors Integrated Flat Plate Solar Collector for Water Heating
Abstract: As the demand for energy is increasing day by day, so to compensate that they use renewableenergy is the best choice in these days. Solar energy is one of the best renewable energyresources. A flat solar collector is using to heat water for domestic as well as commerciallevels. In this research, optimization of the thermal efficiency of a flat solar collector is done,reflector angle, day time and flow rate are …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 11, Issue 3, 2020 · pp. 24–32 Read article
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Wear and Tribological Characteristics of Novel Metal Matrix Composites
Abstract: The development of advanced metal matrix composites (MMCs) with enhanced tribological performance has become increasingly important due to the premature failure of critical engineering components operating under severe wear conditions in automotive, aerospace, marine, defense, and power generation systems. Conventional composites such as Copper–Alumina and Aluminium–Silicon Carbide have demonstrated improved mechanical and wear characteristics; however, their widespread application is often limited by issues including particle agglomeration, non-uniform reinforcement distribution, porosity …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1326–1346 Read article
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An Experimental Investigation of Machining Parameters on Aluminum Composites
Abstract: The need for a material with good mechanical, thermal, and wear resistant properties is satisfied by aluminum composite. However, the biggest obstacle to substituting it with alternative materials is the machining challenges. For this kind of hard-to-cut material, electric discharge machining is a very efficient method. Thus, using a Taguchi-based method, an attempt has been made to determine the most advantageous amount of input parameters for EDM of Al composite. …
Published in Journal of Polymer & Composites · Vol. 12, Issue 6, 2024 · pp. 8–13 Read article
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Optimizing Glass to Metal Composite Seal Performance: An integrated Approach with Artificial Neural Network, Multiple Regression, and Taguchi
Abstract: Composite materials, particularly glass to metal composites, are critical components in solar receiver tubes, where vacuum leakage can significantly compromise the efficiency of solar plants. This research addresses the technical barriers associated with the development of durable and high-quality glass to metal composite seals. We investigate the principles that can enhance the physical and chemical properties of these composite seals, focusing on the incorporation of TiO2 and MgO nanoparticles into …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 418–435 Read article
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Enhancing Wildlife Tourism Management Using Deep Learning and Particle Swarm Optimization (PSO) for Animal Detection in Wildlife Sanctuaries
Abstract: Wildlife tourism is one of the most thriving sectors, faced with huge challenges in terms of safeguarding protected areas. As demand for wildlife experiences accelerates, it becomes necessary to find efficient measures that are friendly to conservation. The use of these advanced techniques in this field such as YOLO and PSO algorithm presents a new dimension on managing wildlife tourism. To harness the abilities of these techniques, this research centers …
Published in Current Trends in Signal Processing · Vol. 14, Issue 3, 2024 · pp. 41–50 Read article
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Physics-Informed Machine Learning and Multiscale Modeling for Structure–Property Quantification of Polymer Composites
Abstract: The growing need for light-weight, high strength, and sustainable polymer composites has led to the development of smart methods that enable accurate structural-property quantification and material design. However, conventional methods have been predominantly data-based, thus ignoring physical constraints as well as multi-scale interactions involving fiber, matrix, interface, and process parameters, leading to lower accuracy and poor robustness and interpretability of the models. In this study, a Cat Swarm Optimization-Tuned Physics-Informed …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Parametric Study of Fused Deposition Modelling Process During Fabrication of Acrylonitrile Butadiene Styrene (ABS) Based Injection Molding Die
Abstract: The purpose of this study is to dictate an optimum process parameter during the fabrication of additively manufactured acrylonitrile butadiene styrene (ABS) based injection mold using fused deposition modelling methodology based additive manufacturing process and to assess the quality of the infection mold by analyzing the surface roughness of the injection mold, and the time taken in the manufacturing of the mold. The ABS PRO+ filament is used in manufacturing …
Published in Journal of Polymer & Composites · Vol. 10, Issue 1, 2022 Read article
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Performance, Combustion and Emission analysis of Sunflower oil based Biodiesel using Non-Dominated Sorting Genetic Algorithm-II
Abstract: Biodiesel is used as alternate fuel of I. C. Engines for so many years. It is obtained from various edible and non-edible oils including waste cooking oils through trans-esterification process in the presence of catalyst. The suitable amount of biodiesel mix with commercial diesel can be used to run the compression ignition engines. The optimum combination of engine input parameters is the challenging task as required by the design engineer …
Published in International Journal of Energy and Thermal Applications · Vol. 1, Issue 1, 2023 · pp. 1–6 Read article
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Production of Injection Moulded Natural Fiber Reinforced Hybrid Composites and Assessment of Hybridization’s Effect on Mechanical Properties
Abstract: Over the past two decades, rising environmental awareness, public concern over waste, and stricter government regulations have encouraged companies to reduce their reliance on petroleum-based fuels and products. Consequently, there is a clear need to find sustainable, eco-friendly substitutes for the materials currently in use. This shift has renewed attention on renewable resources and sparked wider interest in advanced composites and green materials research. With this in mind, the present …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 246–271 Read article
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Minimization of distortion during Gas Metal Arc welding process used for hydraulic shearing machine pressure plate square
Abstract: The Gas Metal Arc Welding process is widely used in many appliances because of its versatility. The change of shape and dimensions that occur after welding is known as distortion that leads to undesirable results. And to overcome this, it requires reducing the distortion within the limits. A large number of resources are used recently for reworking the weld. But it causes higher cost of production and delay for completing …
Published in Trends in Mechanical Engineering & Technology · Vol. 8, Issue 3, 2018 · pp. 33–43 Read article
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Development of Software Packages for Computer Aided Design and Performance Analysis of Industrial Fractional Distillation Equipment
Abstract: This paper deals with improved CAD software packages that have been developed with the objective of improvising the existing conservative design of fractional distillation equipment. Since fractional distillation is extensively employed in petroleum refineries, distilleries and in a large number of chemical process industries, accurate design and optimised performance of these equipments are detrimental to the overall economy of these industries. Further, the efficient performance of the fractionators are dependent …
Published in Emerging Trends in Chemical Engineering · Vol. 2, Issue 3, 2015 · pp. 15–41 Read article
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Exploring the Influence of Machining Parameters on Geometric Form and Orientation Controls (23 Design)
Abstract: This work explores the influence of machining parameters using on geometric form controls flatness and straightness as well as orientation control parallelism using an aluminum 6061 workpiece. Due to its good strength, machinability and cost- effectiveness, aluminum 6061 is widely used. In this experimental work, full factorial design is used and each factor has two levels. The response parameters chosen include flatness, straightness, and parallelism, which govern the form and …
Published in Journal of Experimental & Applied Mechanics · Vol. 16, Issue 1, 2025 · pp. 10–16 Read article
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Optimization of EDM Machining Characteristics of Reinforced Aluminium Metal Matrix Composites by Taguchi
Abstract: Aluminium alloys metal matrix composites (AMMC) play a vital role in various industries, such as aerospace and automobiles. This study investigates the machining characteristics of AL8079 - based composites reinforced with 15 wt. % TiB₂ and 5 wt. % MoS₂ using Electrical Discharge Machining (EDM). The machining process was optimized using the L9 orthogonal array (OA) Taguchi - based design of experiments, and input parameters were considered at three levels, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 939–951 Read article
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A Review on effect of sandwich material on mechanical properties of resistance spot welding
Abstract: Resistance spot welding (RSW) is metal surface joining process. in which contacting metal are joining by the heat obtained from electric current. It is generally used for fabricating sheet metal assemblies such as automobile part, truck cabins, rail vehicles and home applications due to its advantages in welding efficiency. A study will be conducting to investigate the mechanical properties of sandwich material. In this work, an attempt is made to …
Published in Journal of Industrial Safety Engineering · Vol. 6, Issue 2, 2019 · pp. 32–35 Read article