Search
602 articles for “structural efficiency”
-
Gear-Related Stress Analysis and Comparison Between the Fem and Agma Standards
Abstract: In many different devices, gears enable the efficient transfer of motion and torque. They are an essential component of modern mechanical power transmission systems. It has been demonstrated that bending and surface contact stresses at the gear tooth are the primary causes of gear failure, despite their widespread use. Too much stress can lead to tooth wear, pitting, or breakage, which can ultimately reduce the operating life and reliability of …
Published in Trends in Mechanical Engineering & Technology · Vol. 15, Issue 3, 2025 · pp. 13–18 Read article
-
Determinants of Smallholder Farmers Quantity of Coffea arabica L., Supply to Market: A Case of Gimbo District, Kaffa Zone, Ethiopia
Abstract: This study investigates the factors influencing the market supply of coffee in various districts of the Gimbo District, Kaffa Zone, in Southwest Ethiopia. Coffee is Ethiopia's most significant export crop, recognized for its extensive genetic diversity and its substantial contribution to the country's GDP. Despite the district's strong production capacity, the marketing structure remains predominantly traditional, compelling producers to sell through conventional channels that do not offer premium prices, thereby …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 3, 2025 · pp. 107–120 Read article
-
Design and Development of Lightweight Polymer Composite Manifold Using CF-ABS and GFRP for Aerodynamic Energy Recovery in Electric Vehicles
Abstract: Electric vehicles provide a number of advantages over conventional fuel vehicles due to their low to no emissions. High energy efficiency improves the driving performance of Electric vehicles. However, they have to face certain challenges such as the high purchase cost of batteries and lack of battery charging facilities. The major drawback of an Electric vehicle is to store sufficient energy to run the vehicle for a long time. This …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 Read article
-
AI-Driven Framework for Accelerating Polymer Nanocomposite Commercialization in Computational Materials Engineering
Abstract: The remarkable mechanical strength increased functional qualities, lightweight structure, and thermal stability of polymer nanocomposites have prompted modern materials research to prioritize their rapid commercialization. Advanced materials can be created by adding nanoscale fillers such as carbon nanotubes, graphene, silica, and metal oxides to polymer matrices. These materials have applications in biomedical engineering, aerospace, electronics, packaging, and automobile manufacture. Research and development of polymer nanocomposites has traditionally relied on costly …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1–19 Read article
-
Semiconducting Materials for Emerging Electronics and Technological Applications
Abstract: Semiconducting materials are important for emerging electronic and photovoltaic technologies because their structural, optical and electrical properties can be tailored for specific device applications. In this study, a TiO₂-based composite photoanode is considered as a polymer-assisted semiconducting thin-film system in which inorganic TiO₂ nanoparticles are processed with organic film-forming components to produce a porous layer for dye-sensitised solar cell application. Nanocrystalline TiO₂ nanoparticles were synthesised from titanium isopropoxide using a …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 36–50 Read article
-
Explainable Machine Learning for Process Parameter Optimization in Gradient 3D-Printed Polymer Composites
Abstract: The explainable machine learning-based structure may be employed to achieve a favorable process parameter of the graduate 3D-printed polymer composite structures to improve the mechanical and thermal properties without compromising the transparency of the decisions made during the fabrication process. Gradient composite specimens were made by systematically varied process parameters like nozzle temperature, raster orientation, deposition speed, gradient transition rate and fused filament fabrication. A predictive model of tensile strength …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 847–866 Read article
-
Au@Sio2@PVP-DCMD Membranes: A Breakthrough in Heavy Metal Removal and Antibacterial Defense
Abstract: This study investigates the development and characterization of multifunctional gold-doped silica (Au@SiO₂) membranes for water distillation and antibacterial applications. The manufacturing process integrated gold nanoparticles into silica matrices using sol-gel techniques. Structural analysis was conducted using SEM (showing uniform pore distribution with an average pore size of 40-50 nm), FTIR (confirming Si-O-Si and Si-Au-Si bonding peaks at 525 cm⁻¹ and 1310 cm⁻¹ respectively), EDX (revealing gold nanoparticle content of 1.5 …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 13–27 Read article
-
Quantum-Fuzzy Tensor Operators for Multi-Qubit Conjunction, Disjunction, and Symmetry-Preserving State Discrimination
Abstract: The integration of fuzzy logic and quantum information theory raises a fundamental mathematical question: how can degrees of truth be encoded in multi-qubit amplitudes while preserving the unitary dynamics and symmetry structure of quantum state spaces? This paper develops a tensor-operator framework for implementing quantum-fuzzy logical operations on finite qubit registers. Fuzzy truth values are represented by normalized quantum amplitude pairs, enabling logical information to be embedded directly into quantum …
Published in Emerging Trends in Symmetry · Vol. 2, Issue 1, 2026 · pp. 16–21 Read article
-
Artificial Intelligence-Assisted Multi-Objective Optimization of Agricultural Biomass-Reinforced Polymer Composites
Abstract: Agricultural biomass can reduce the environmental burden of polymer composites, yet its heterogeneous structure creates competing effects on strength, moisture resistance, density, and process ability. This study developed an artificial intelligence-assisted framework for balanced composite formulation. Experimental data of agricultural biomass reinforced polymer composites were gathered, harmonized and validated using leakage controlled validation. The mechanical and physical properties were predicted by artificial neural networks and conventional regression models. Explainable analysis …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
-
In-Situ Polymerized GO/PANI Composites: Structural Evolution, Optical Modulation, and NH₃ Sensing at Room Temperature
Abstract: Graphene oxide (GO)/polyaniline (PANI) composites with varying PANI contents (20, 40, and 60 wt%) were synthesized via in-situ oxidative polymerization and systematically investigated for their structural, morphological, optical, and gas-sensing properties. X-ray diffraction (XRD) confirmed a progressive increase in interlayer spacing and partial exfoliation of GO layers with increasing PANI content, indicating intercalation-assisted hybridization. Fourier transform infrared (FTIR) spectroscopy revealed the characteristic vibrational bands of both constituents and confirmed strong …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
-
Developing an AI-Based Novel Forecasting Framework for Surface Irregularity in Metal Matrix Materials
Abstract: Surface irregularity in metal matrix materials (MMM) signifies the deviations from smoothness, influencing structural integrity and performance frequently arising from the manufacturing process along with intrinsic material characteristics that influence effectiveness. Limitations in data, model interpretability and complexity are the difficulties that impede artificial intelligence (AI) based surface irregularity in MMM. In this study, we suggested a novel framework of Gaussian regression fused multi-strategy adaptive boosting classifier (GR-MABC) for the …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 48–56 Read article
-
Geotechnical Analysis and Performance Evaluation of Subgrade Materials in Road Construction
Abstract: Geotechnical engineering plays a pivotal role in the design, construction, and long-term maintenance of infrastructure, particularly in road construction, where subgrade conditions are directly linked to pavement performance, durability, and overall structural integrity. The performance of a road is heavily influenced by the geotechnical properties of the subgrade, making it essential to thoroughly assess these properties in the planning and construction phases. This study comprehensively investigates the geotechnical characteristics and …
Published in Journal of Geotechnical Engineering · Vol. 11, Issue 3, 2024 · pp. 24–29 Read article
-
Development and Analysis of Novel Silver Ion-Conducting Glass-Polymer Electrolytes
Abstract: The development of efficient and stable solid electrolytes is crucial for advancing energy storage technologies such as solid-state batteries and electrochemical devices. In this study, a novel series of silver ion-conducting glass–polymer electrolytes (GPEs) based on the composition (1–x) PEO: x[0.75AgI:0.25(Ag₂O:WO₃)] with x ranging up to 50 wt.% was synthesized and thoroughly analyzed. Unlike conventional techniques such as solution casting or sol–gel methods, these GPEs were fabricated using an innovative …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 600–605 Read article
-
Study on Partial Replacement of Cement with Pinus Fiber and Nano Silica in M30 Concrete Paver Blocks: A Fiber-Reinforced Polymer-Cement Composite Approach
Abstract: This study investigates the partial replacement of cement in M30 grade concrete paver blocks using nano silica and Pinus fiber, with a primary focus on mechanical performance, sustainability, and long-term durability and promoting sustainability. Portland cement, a major contributor to global CO₂ emissions, can be partially substituted using supplementary materials to create eco-efficient construction solutions. Nano silica, due to its high pozzolanic reactivity and ultrafine size, improves the microstructure and …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 63–76 Read article
-
Synthesis, Characterization of New Imidazolidin-4-One Containing Azo Compound Derived from Acetylacetone as Antibacterial and Antioxidant Agents
Abstract: In the present study, new derivatives of imidazolidine-4-one was prepared. Which involved reactions to diazonium salt of o-methoxy aniline with acetylacetone in the presence of sodium hydroxide, and isolating the azo compound as a brown precipitate. The azo diketone reacts efficiently with aromatic amine derivatives to produce Schiff bases as a light yellow and dark brown precipitates, and from this Schiff bases three derivatives of imidazolidine-4-one was prepared by reacting …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 17, Issue 1, 2026 · pp. 94–114 Read article
-
Experimental Analysis of Residual Stress, Micro-Hardness and Corrosion Behavior of HVOF Sprayed Composite Coating
Abstract: The utilisation of non-traditional composite coating materials, enhanced lubrication, and surface geometry optimisation have all contributed to the tribological performance. Piston rings are among the most crucial engine parts since friction causes between 40 and 45 percent of all energy loss. Fuel efficiency, power loss, and exhaust pollutants are all strongly impacted by the piston assembly's tribological performance. The present study's primary goal was to develop composite coating by using …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 77–82 Read article
-
Risk Management in Civil Engineering by FTA, FMEA and Risk Matrix
Abstract: Infrastructure projects, particularly in civil engineering, are fraught with uncertainties that manifest as both physical and financial risks. The project report, titled Quantifying and Managing Financial and Physical Risks in Infrastructure Projects, aims to bridge the existing gap between managing these two critical categories of risks. By integrating advanced statistical methodologies such as Failure Mode and Effects Analysis (FMEA), Fault Tree Analysis (FTA), Risk Matrix, and Regression Analysis, this study …
Published in Journal of Structural Engineering and Management · Vol. 12, Issue 1, 2025 · pp. 34–46 Read article
-
Optimization of Machining Parameters of EN-27 Material Using Wire Electric Discharge Machining (WEDM)
Abstract: The optimization of Wire Electrical Discharge Machining (WEDM) parameters for EN-27 alloy steel, a high-strength material widely utilized in mechanical and structural applications, is the subject of this study's methodical analysis. Due to its hardness and poor machinability by conventional methods, WEDM is preferred for achieving precise dimensional accuracy and surface integrity. The primary objective of this work is to enhance machining performance by identifying optimal process parameters influencing Material …
Published in Journal of Production Research & Management · Vol. 16, Issue 1, 2026 · pp. 32–36 Read article
-
The Effect of Rare Earth (RE) Metal Doping of Zno, On Magnetic and Optical Properties of Zno Crystals Structure
Abstract: The magnetic and optical properties of magnetic semiconductors relays on the crystal structure, type and amount of dopant ions, and particle size. Then, the effect of rare earth metal (Dy, Eu, and La) doping on crystal structures, magnetic properties and optical properties are seen. It is revealed that the optical band gap of ZnO decrease down from 3.37eV up on doping with RE metals. Then, the Hamiltonian of the system …
Published in International Journal of Crystalline Materials · Vol. 2, Issue 2, 2025 · pp. 28–40 Read article
-
Ethical Risks of Generative AI in Education: Challenges, Implications, and a Responsible Use Framework
Abstract: The rapid diffusion of generative artificial intelligence (AI) technologies in educational settings is reshaping how teaching, learning, and assessment are designed and enacted. Large language models and related generative systems offer powerful capabilities for content creation, personalized feedback, and instructional support, promising gains in efficiency and learner engagement. However, their growing use also introduces a complex set of ethical risks that challenge foundational educational values such as integrity, equity, transparency, …
Published in International Journal of Education Sciences · Vol. 3, Issue 1, 2026 · pp. 23–30 Read article