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981 articles for “Materials Optimization”
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Enhance Thermal and Conductive Properties through Graph Neural Network-Based Machine Learning-Driven Advanced Polymer Material Design
Abstract: Advanced polymer materials are widely used in modern engineering and manufacturing because of their lightweight nature, flexibility, durability, and adaptability to different applications. However, designing polymer materials with enhanced thermal and electrical properties remains a challenging task. The performance of polymers is influenced by a complex combination of molecular structures, filler materials, processing parameters, and nanoscale interactions. Conventional optimization methods often require extensive experimental trials and computational resources, making it …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 386–407 Read article
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Parameters Optimization of EDM of AISI 316 Stainless Steel Material using RSM
Abstract: In this paper, cutting of SS316 material using electro discharge machining (EDM) with a copper electrode using RSM technique is discussed. Electrical discharge machining (EDM) is one of the earliest non-traditional machining processes [1]. These methodologies are used to analyze the effect of each parameter on the machining characteristics and to predict the optimal choice for each EDM parameter such as peak current, gap voltage and pulse on time. It …
Published in Journal of Industrial Safety Engineering · Vol. 3, Issue 2, 2016 · pp. 23–29 Read article
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Parametric Design and Multi Objective Optimization of a Two-Axle Tipper Trailer Chassis for Enhanced Strength
Abstract: The primary objective of this project is to perform a detailed analysis of the chassis frame by considering variations in cross-sectional geometry as well as material composition. The frame structure includes main longitudinal members supported by a series of cross members, and the study focuses on optimizing both these elements. Material optimization is carried out by introducing composite materials in place of conventional ones, aiming to achieve improved strength-to-weight ratio. …
Published in Trends in Machine design · Vol. 13, Issue 2, 2026 · pp. 16–25 Read article
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Finite Element, Experimental, and Machine Learning-Based Optimization of Machining Stability for Polymer Composite Material Processing
Abstract: The machining of polymer composite materials, particularly fibre-reinforced polymer-matrix composites, requires stable spindle-tool performance to avoid delamination, fibre pull-out, matrix cracking, thermal softening, poor surface integrity, and premature tool wear. In line with the scope of the Journal of Polymer & Composites, this study presents an integrated finite element, experimental, and machine learning framework for improving machining stability during end-milling of composite material systems. The spindle-tool assembly is modelled using …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Firefly Algorithm–Based Optimization of Processing Parameters for Enhanced Performance of Polymer Composite Materials
Abstract: Polymer composite materials are extensively used in aerospace, automotive, and oil & gas applications due to their high strength-to-weight ratio and design flexibility. However, achieving optimal mechanical and thermal performance strongly depends on precise control of processing parameters such as curing temperature, energy consumption, and material utilization. Conventional trial-and-error approaches often lead to excessive energy usage, non-uniform curing, and sub-optimal composite properties. To address these challenges, this paper proposes an …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 90–107 Read article
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A Review of Optimization of Energy Efficiency Though Phase Change Material in Building
Abstract: Energy use in the construction sector is substantial. Thus, it is crucial that new materials be developed with the intention of improving building thermal efficiency. Thus, over the last few decades, the incorporation of Phase Change Materials has increased. (PCMs) into buildings has gained popularity. Such materials, which have the capacity to both absorb and release energy from/in the environment, can lessen temperature variations, enhancing human comfort while also consuming …
Published in International Journal of Urban Design and Development · Vol. 1, Issue 2, 2023 · pp. 05–12 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
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Experimental Analysis of Nano-carbon Doped Alumina for Industrial Applications
Abstract: The use of nano-carbon metal matrix composites can provide a solution to the enduring issue of optimal material selection and optimization for getting metal-insulator transition (MIT) behavior at a particular frequency at ambient temperature. Other substances, like two-dimensional (2D) transition metal dichalcogenides (TMD), vanadium oxide (VO2), and germanium telluride (Ge-Te), have difficult challenges in achieving effectively the MIT property at a given frequency and temperature. It is also difficult to …
Published in Journal of Polymer & Composites 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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REVIEW PAPER ON ABRASIVE MACHINING PROCESS
Abstract: Abrasive Machining is the most important process for material removal in the industries. It refers to the action of removing the fibres from a surface. It requires a deep study to obtain a better understanding of the variables that affect the material removal rate, quality of surface & power consumption. Various experiments are designed to determine the impact of interface pressure, belt speed, surface roughness for different grit sizes. A …
Published in Journal of Mechatronics and Automation · Vol. 5, Issue 3, 2018 · pp. 31–35 Read article
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Finite Element Analysis of Spur Gear Manufactured of Al7475-SiC Composites
Abstract: The spur gear is used in power transmission systems in industrial and automotive sectors. But sometimes, these gears have problems with their teeth due to excessive stress and wear. Some gears don't work as well, so in the present work better material is used to make them work well. Composite materials, which is known for their optimal strength-to-weight ratio and weight reduction benefits. So, these materials are considered substitutes for …
Published in Journal of Polymer & Composites · Vol. 12, Issue 2, 2024 · pp. 279–284 Read article
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Artificial Intelligence-Based Optimization of Mechanical and Biocompatible Properties in Polymer Composite Implants
Abstract: Artificial Intelligence (AI) has already become a ground-breaking tool of streamlining polymer composite implants to enhance both mechanical strength and biocompatibility simultaneously. This paper recommend an AI-based multi-objective optimization model, which integrates the selection of materials, structural modelling, and biological evaluation. The in vitro biocompatibility indicators, including cytotoxicity and cell adhesion, can be used to model mechanical behavior, e.g. stress-strain behavior and fatigue behavior. To arrive at an optimal material …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Optimization of Process Parameters for ABS, Nylon, Polypropylene Material in Injection Molding Using Taguchi Method
Abstract: The process of plastic injection molding (IMP) itself is a multifarious of time, temperature and pressure variables with a profusion of manufacturing defects that can occur without upright fusion of processing parameters and design components. Ascertaining the reform foremost process parameter settings commentative dominates productivity, quality, and costs of production in the plastic injection molding industry. Most plastic injection molding industries are using trial-and-error method/approximation method, based on experience of …
Published in Trends in Mechanical Engineering & Technology · Vol. 11, Issue 3, 2021 · pp. 1–9 Read article
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Photochemical Materials for Light-responsive Optical Switching: AI-optimized Design of Dynamic Visual Effects
Abstract: This paper presents an in-depth investigation into the design and behavior of photochemical materials that generate optical illusions and dynamic visual effects through light-induced molecular transformations. The study focuses on advanced photoresponsive compounds such as azobenzene and spiropyran derivatives, emphasizing their reversible optical transitions governed by photoisomerization, phase transitions, and photochromism in solid-state and polymeric matrices. Spectroscopic and kinetic analyses are employed to evaluate the influence of light wavelength, material …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 3, Issue 2, 2025 · pp. 13–27 Read article
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Optimization of Turning Parameters of EN-36 for Material Removal Rate and Tool Life based on Taguchi and RSM Method
Abstract: In this experimental study the effect of cutting parameters on material removal rate (MRR) and tool wear rate (TWR) during turning of EN-36 material on turning machine is determined. In this work, firstly, all the cutting parameters namely, spindle speed (SS), feed rate (FR) and depth of cut (DOC) are designed by using suitable orthogonal array in Taguchi method. The experimental studies were accompanied under the varying spindle speed, feed …
Published in Journal of Mechatronics and Automation · Vol. 3, Issue 1, 2016 · pp. 14–24 Read article
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From Prototype to Production: A Review of Industrial Applications for 3D Printing in Aerospace, Automotive, Biomedical, and Electronics
Abstract: Three-dimensional (3D) or Additive Manufacturing has made remarkable progress from rapid prototyping to large-scale production. Several industries like aerospace, automotive, biomedical, and electronics utilise AM technology for product personalisation, minimising waste material, reducing the cycle time of product design, and designing complex shapes that are difficult to manufacture using traditional techniques like subtractive manufacturing. This paper evaluates the evolution of 3D printing technology from prototyping to industrial production. In addition, …
Published in International Journal of Manufacturing and Production Engineering · Vol. 4, Issue 2, 2026 Read article
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Machine Learning Based Optimization of Polymer Structure Property Relationships in Composite Material Systems
Abstract: In modern engineering applications, polymer-based composite materials have garnered a lot of attention because of their lightweight nature, high strength-to-weight ratio, and changing physical features. In order to maximize the relationships between polymer structure and properties in composite materials, this study suggests a strategy based on reinforcement learning (RL). The research utilized the Polymer Composite Properties Dataset, which contains 12,700 records associated with polymer matrices, reinforcement fillers, interfacial bonding characteristics, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 242–255 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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Emerging Trends in Membrane-Based Gas Separation Technologies
Abstract: Membrane technology has emerged as a groundbreaking solution in various fields, revolutionizing industries such as water treatment, energy production, biomedicine, and environmental protection. Over the past few decades, significant advancements have been made in membrane materials, fabrication techniques, and performance optimization. With the growing global demand for efficient and sustainable separation processes, research has increasingly focused on enhancing membrane permeability, selectivity, and durability to improve performance across various industries, including …
Published in International Journal of Membranes · Vol. 2, Issue 1, 2025 · pp. 16–22 Read article
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Optimization of FDM 3D Printer Process Parameters For PETG Material Using TOPSIS Technique
Abstract: 3D printing is a quickly evolving process that builds the desired shape by layering on material. In the era of modern production, additive manufacturing has grown in significance due to its user-friendliness. By using this technique, one can produce complex & intricate geometries with much ease when compared to conventional manufacturing. With the increased demand for 3D printing, consideration towards strength quality and other mechanical properties is also increasing progressively. …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 601–609 Read article