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827 articles for “material processing”
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Flame-Retardant Polymeric Materials: Recent Advances and Future Directions
Abstract: This review explores essential flame-retardant polymers that play a vital role in various industries such as electrical & electronics, automobile, manufacturing, and firefighting. This review also highlights the latest progress in the design and synthesis of flame-retardant polymers, highlighting novel approaches such as the incorporation of nanomaterials, bio-based flame retardants, and the use of intumescent systems. Recent advancements include high-throughput screening, computational design, bio-based and sustainable flame retardants, self-healing materials, …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 125–132 Read article
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Advances in Polymer-Based Orthodontic Materials for Enhanced Treatment Efficiency
Abstract: Polymers, particularly shape-memory polymers, fiber-reinforced composites, and elastomeric materials, provide enhanced mechanical properties such as flexibility, durability, and controlled force application, leading to improved treatment outcomes. These materials offer superior biocompatibility, reducing irritation and discomfort for patients while ensuring efficient and predictable tooth movement. It is important to note one of the key advancements in orthodontics is the use of shape-memory polymers, which can respond to temperature or external stimuli, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 1016–1024 Read article
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Effect of Drilling Process Parameters on Surface Roughness of LM6/B4C/Fly Ash Hybrid Composites
Abstract: This research seeks to assess the effect of process variables such as feed rate (FR), spindle speed (SS), drill material (DM) and reinforcement (R%) on surface roughness (SR) when drilling LM6/B4C/Fly ash hybrid composites. The stir casting process was used to fabricate the LM6/B4C/Flyash hybrid composites utilizing LM6 aluminum alloy as the matrix material and B4C/Fly ash as strengthening materials. Experiments were carried out using an L18 orthogonal array (OA) …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 898–906 Read article
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Biomimetic Approaches to Damage Tolerance: Lessons from Natural Materials
Abstract: Biomimicry has emerged as a powerful and innovative strategy for designing materials with enhanced damage tolerance by drawing inspiration from biological systems found in nature. Various natural materials, such as bone, nacre (mother-of-pearl), and spider silk, display exceptional mechanical properties, including high toughness, superior strength, and inherent self-healing capabilities. These remarkable attributes arise from their complex hierarchical architectures and adaptive mechanisms, which have been refined over millions of years through …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 3, Issue 1, 2025 · pp. 11–16 Read article
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Sustainable Manufacturing: The Role of Additive Technologies in Waste Reduction
Abstract: Additive manufacturing (AM) is transforming modern manufacturing by significantly reducing material waste while enabling highly efficient production processes. Unlike conventional subtractive manufacturing methods—such as cutting, drilling, and milling—which remove excess material and generate large volumes of scrap, AM constructs objects layer by layer, depositing material only where required. This precise material placement minimizes waste generation and supports resource-efficient production, making AM a critical technology for sustainable industrial development. Beyond waste …
Published in Journal of Materials & Metallurgical Engineering · Vol. 16, Issue 1, 2026 · pp. 62–70 Read article
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A Review of Electrical Conduction, Optical Sensing, and Semiconductor Device Innovations
Abstract: Electrical conduction and semiconductor device technologies form the backbone of modern electronic and sensing systems. This review presents a comprehensive analysis of conduction mechanisms across different materials, including conductors, semiconductors, and insulators, with particular emphasis on charge carrier behavior, resistivity, and energy band structures. The study highlights how variations in material properties and external conditions influence electrical performance and device efficiency. The paper further explores advancements in semiconductor devices, focusing …
Published in Journal of Semiconductor Devices and Circuits · Vol. 13, Issue 1, 2026 Read article
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The Convergence of AI and Composites - A Review Anchored in Patent Trends
Abstract: The integration of artificial intelligence (AI) and machine learning (ML) techniques is revolutionizing the design, analysis, and optimization of polymer (PC/FRP), metal (MC), and ceramic matrix composites (CC). Techniques such as artificial neural networks (ANN), deep learning (DL), genetic algorithms (GA), and physics-informed machine learning (PIML) are employed to enhance property estimation, process optimization, and predictive modeling. These AI-driven frameworks enable virtual testing, application-specific material design, and real-time decision-making, while …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 182–198 Read article
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Polymer Composite-Integrated Food Waste Management Across the Supply Chain: Quantification, Process Modelling, and Techno-Economic Valorization
Abstract: Food waste produced throughout the global food supply chain constitutes one of the most impactful forms of inefficiency within the current food production system, producing roughly 931 million tons per year and resulting in economic losses above $1 trillion worldwide each year. One aspect that has not been sufficiently studied systematically is how polymer composite materials, such as membrane separation systems, polymer-coated extraction equipment, fiber-reinforced polymer (FRP) biorefinery infrastructure, and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 819–836 Read article
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Optimization of Process Parameter in 3D Printing to Minimize Wear Loss and increase Tensile Strength
Abstract: Additive Manufacturing (AM) and especially Fused Deposition Modeling (FDM) has emerged as a very versatile process of manufacturing polymer components with complex and highly-integrated geometries. Polylactic Acid (PLA) is a favorite of the many thermoplastic FDM materials because of its biodegradability, easy processing and predictable mechanical properties. The study aimed at maximizing critical parameters in FDM process in order to reduce wear loss and also increase tensile strength of PLA …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 849–858 Read article
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Influence of Different Fluxes on the Angular Distortion of A-TIG Welded 316L Steel Plates
Abstract: The conventional Tungsten Inert Gas (TIG) welding process is an autogenous welding process primarily used to weld thin metal sheets in the food processing and chemical industry. The process can weld almost all engineering materials but suffers from the limitation of slow speed and inability to weld thick sections. With the development of A-TIG welding, some of the drawbacks of traditional TIG welding have been addressed, where the activated flux …
Published in Journal of Polymer & Composites · Vol. 12, Issue 2, 2024 · pp. 99–103 Read article
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Thin Film Technology in Sensor Manufacturing – A Technical Discussion
Abstract: Thin‑film technology has become the cornerstone of modern sensor manufacturing, enabling the convergence of miniaturisation, multifunctionality, and cost‑effective mass production. This paper surveys the latest advances in deposition techniques—ranging from magnetron sputtering and chemical vapour deposition to atomic‑layer deposition (ALD) and ink‑jet‑printed sol‑gel processes—and examines how their unique material‑control capabilities translate into performance gains across the sensor spectrum (chemical, physical, and bio‑sensing). By integrating nanoscale thickness control (≤ 10 nm) …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 13, Issue 1, 2026 · pp. 48–58 Read article
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A Review on Parametric Optimization of WEDM Technique for OHNS Steel
Abstract: In this study, the Wire Electrical Discharge Machining (WEDM) process for OHNS (Oil Hardened Non-Shrinking) steel, a high-performance material frequently used in the production of dies, punches, and precision tooling components, is optimized parametrically and validated experimentally. A continuously moving wire electrode and a sequence of electrical discharges are used in WEDM, a non-traditional machining method, to erode material and produce intricate and precise profiles, particularly in materials that are …
Published in Trends in Mechanical Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 29–35 Read article
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Effect of Chemically Treated Plant Cellulose on Mechanical, Fatigue and Fracture Toughness Behaviour of Polyester Composite
Abstract: In this research study, the effect of chemically treated plant cellulose on the mechanical, fatigue, and fracture toughness behaviour of polyester composites was investigated. Ramie plant cellulose fibers were used as the reinforcing material, and polyester resin was used as the matrix material. Three different chemical treatment processes, namely alkalization, acetylation, and etherification, were used to adapt the superficial chemistry of the fibers and advance their compatibility with the polyester …
Published in Journal of Polymer & Composites · Vol. 11, Issue 3, 2023 · pp. 21–29 Read article
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Hybrid Quantum–Machine Learning Framework for Nonlinear Rheological Modeling of Polymer and Composite Materials
Abstract: In polymer and composite materials, a major challenge lies in predicting their nonlinear rheological response, owing to complex multiscale interactions that are not captured by traditional constitutive laws or conventional machine learning approaches. In this study, a hybrid Quantum Machine Learning (QML) model comprising Quantum Support Vector Machine (QSVM) and Quantum Neural Network (QNN) architectures is proposed for viscosity prediction without requiring any specific rheological equation. To train and test …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
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The Silent Mineral: Structural Complexity and Industrial Utility of Natural Kaolin
Abstract: Kaolin, a naturally occurring aluminosilicate clay predominantly comprising the mineral kaolinite (Al₂Si₂O₅(OH)₄), exhibits a 1:1 layered silicate structure that imparts distinctive physicochemical properties suitable for extensive industrial utilization. Deposits of kaolin are broadly classified into primary (residual) and secondary (sedimentary) categories, each defined by their geological origin and mineralogical features. The industrial processing of kaolin encompasses stages such as raw material extraction, beneficiation, and purification, aiming to optimize parameters including …
Published in International Journal of Crystalline Materials · Vol. 2, Issue 1, 2025 · pp. 52–61 Read article
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Synthesis, Characterization and Dielectric Properties of Polymer Materials for Microwave Communication Applications
Abstract: The rapid advancement in wireless communication technologies has necessitated the development of advanced materials with tailored dielectric properties. Polymer materials, because of their flexibility, lightweight nature, and processing ease, are currently being used in initiatives to formulate low-dielectric materials specifically tailored for microwave communication applications. In the current investigation, the authors concentrate on the synthesis, characterization, and dielectric properties of five distinct novel polymer materials. The synthesized polymers are characterized …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1482–1495 Read article
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Predictive Modeling and Optimization of Tensile and Flexural Strength in FDM 3D Printing Using Decision Trees and Bayesian Optimization.
Abstract: This research investigates predictive modelling and optimization technique for the tensile and flexural strength of PlA (Poly Lactic Acid) in Fused Deposition Modelling (FDM) 3D printing. Employing Decision Trees and Bayesian Optimization enhances comprehension and control of 3D printing process. Precise model predicts PLA material properties based on input parameters. Methodology involves rigorous data preprocessing, encompassing, cleaning, transformation, and normalization. Hyperparameter optimization via grid search systematically explores configurations, optimizing model …
Published in Journal of Polymer & Composites · Vol. 11, Issue 12, 2023 · pp. 203–214 Read article
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LLM-based Chatbot for Course-based Question Answering
Abstract: The “LLM-based Chatbot for Course-Based Question Answering” project addresses the pressing need for tailored and efficient learning tools in education. By using a state-of-the-art Large Language Model (LLM) with a diverse dataset, including textbooks, professor slides, and web scraping data, the chatbot offers accurate and contextually enriched responses to students' course-related queries. Using recent advances in language modeling, this work presents a Longformer-based Language Model (LLM) for constructing a smart …
Published in International Journal of Electronics Automation · Vol. 1, Issue 2, 2023 · pp. 30–41 Read article
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Enhancing Physical Properties of Unfilled SBR Rubber Compounds using Nano CaCO3 Additive
Abstract: The push for rubber compounds with improved characteristics in the rubber industry has sparked extensive research strategies for developing novel rubber compounds with improved properties like tensile strength, abrasion resistance, rolling resistance and flex properties etc., especially for the automobile industry. To intensify the processability, performance, and look of materials such as plastics, rubbers, paints, color, printing, and lubricants, additives are often employed to improve their qualities and overall value …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 40–49 Read article
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Dimensional Investigation of Material Extrusion Based AM Part
Abstract: Now a day’s additive manufacturing plays a vital role in industrial application. Material Extrusion based 3D printed parts often face inherent limitations in quality, such as geometric inaccuracies, surface roughness, and reduced strength, especially when compared to those made through traditional or more refined manufacturing methods. However, this system provides notable advantages for producing parts from materials like ABS by optimizing critical material extrusion based AM machine process parameters, such …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 442–452 Read article