Search
212 articles for “accuracy parameter”
-
ML-Based Predictive Modeling of Mechanical Properties in 3D-Printed Polymer Composites for IoT Applications
Abstract: This study aims to develop an interpretable and high-accuracy machine learning framework for predicting the mechanical properties of 3D-printed fiber-reinforced polymer composites, with a focus on structure–property correlations relevant to polymer processing and functional performance. Composite specimens based on PLA and ABS matrices were fabricated using FDM with varying weight fractions (5–20 wt%) of carbon and glass fibers. Standardized mechanical testing (ASTM D638, D256, D790) was performed to evaluate tensile …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 61–78 Read article
-
Comparative Seismic Analysis of Composite Building Frames Considering Wind Pressure per I.S. 875-III: An ETABS-Based Review
Abstract: The seismic analysis of composite building frames, while factoring in wind pressure in accordance with the I.S. 875-III standards, stands as a pivotal imperative. It serves as the linchpin in guaranteeing not only the structural robustness but also the optimal performance of these edifices, ensuring they can withstand the formidable forces of nature with unwavering resilience.This study provides an in-depth and thorough analysis of past research endeavors that have delved …
Published in Journal of Construction Engineering, Technology & Management · Vol. 13, Issue 3, 2023 · pp. 1–8 Read article
-
Investigation of Surface Finish and Vibration in Gear Hobbing
Abstract: Gear hobbing is important machining process. The process parameters are expected to influencesurface finish in gear hobbing. Depending upon service requirements, the materials of the gear maybe of different types. A desired level of surface finish and accuracy of gear tooth is neededirrespective of the material of the gear, depending upon type of applications of the gear. The changein process parameters may influence both the vibration and surface finish in …
Published in Trends in Mechanical Engineering & Technology · Vol. 11, Issue 1, 2021 · pp. 28–37 Read article
-
Modeling Dispersed Count Data: Evaluating the Conway–Maxwell–Poisson Regression with COVID-19 Mortality Data
Abstract: Count data are prevalent in diverse fields such as biology, healthcare, psychology, and marketing, characterized by non-negativity and inherent heteroskedasticity, often exhibiting overdispersion or underdispersion. Traditional Poisson regression, which assumes equal mean and variance, is inadequate for such dispersed data. To address this, various generalized linear models (GLMs) and their extensions, including negative binomial (NB) and Conway–Maxwell–Poisson (CMP) regressions, are utilized. This study evaluates the performance of CMP regression compared …
Published in Research & Reviews : Journal of Statistics · Vol. 13, Issue 3, 2024 · pp. 18–26 Read article
-
Modern Trends in Tungsten(VI) Analysis: From Smart Organic Reagents to High-Sensitivity Spectrophotometry
Abstract: The present review focuses on the spectrophotometric determination of tungsten(VI) using a wide range of organic reagents and their derivatives. Organic ligands have gained considerable importance in analytical chemistry due to their strong ability to form stable and highly colored complexes with tungsten(VI), which enhances the sensitivity and selectivity of spectrophotometric analysis. Various chromogenic reagents reported in the literature for tungsten(VI) determination have been critically examined and compared on the …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 17, Issue 2, 2026 · pp. 19–29 Read article
-
Machine Learning Assisted Optimization of Nanoscale MOSFET Parameters Using TCAD Simulation
Abstract: This paper presents a machine learning (ML) assisted framework for the multi-objective optimization of nanoscale bulk n-channel metal-oxide-semiconductor field-effect transistors (nMOSFETs) with a 10 nm physical gate length, high-k HfO₂ gate dielectric, and TiN metal gate. Technology computer-aided design (TCAD) simulations employing drift-diffusion transport, Shockley-Read-Hall recombination, Lombardi mobility degradation, and density- gradient quantum correction models are used to generate a parametric dataset of 2,400 device configurations spanning gate length (L), …
Published in Journal of Microelectronics and Solid State Devices · Vol. 13, Issue 1, 2026 · pp. 10–19 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
-
A Study on Responses Parameter of EDM Process in EN-353 Steel Using Grey Relational Analysis
Abstract: Electrical discharge machining (EDM) process is the most practically non-conventional machining processes for machining newly developed high strength alloys with high degree of dimensional accuracy and economical cost of production. The last decade has seen an increasing interest in the novel applications of this process, which is particular emphasis on the potential for surface modification. To gain these goals, the consideration is by optimizing the process parameters such as the …
Published in Journal of Mechatronics and Automation · Vol. 2, Issue 1, 2015 · pp. 32–40 Read article
-
Optimizing Performance Characteristics, Thermal Stability, and Manufacturing Performance of Polymer Nanocomposites Using Artificial Intelligence
Abstract: Artificial intelligence (AI) has proven an efficient method to optimize the design and manufacture of polymer nanocomposites, allowing the proper prediction of the behavior of the materials and the results of the processing. This work proposes an AI-based framework to enhance the performance characteristics, thermal stability and manufacturing performance of advanced polymer nanocomposites. The input variables of the proposed framework are the material composition, the nanoparticle concentration, the particle size, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
-
Numerical Simulation of Air Flow Field of A Gas Turbine Engine Air blast Atomizer
Abstract: One of the most crucial process that occurs before the fuel is burned in the combustion chamber is atomization. The performance of a engine will be depend mainly on the fuel mixture. Performance of the engine depends on atomization process because it breaks the bulk fuel into small droplets and injects it into the combustion chamber, in order to make this happen consequently the dimensions of most of the fuel …
Published in Journal of Polymer & Composites · Vol. 11, Issue 13, 2023 · pp. 169–180 Read article
-
An AI-Driven IoT Framework for Autonomous Quality Assurance in Optical Lens Manufacturing
Abstract: The evolution of high-precision optics—ranging from smartphone micro-lenses to high-end astronomical glass—demands unprecedented accuracy in manufacturing. Traditional inspection methods, reliant on manual sampling or static automated optical inspection (AOI), often fail to bridge the gap between high-speed production and the detection of microscopic surface aberrations. This paper introduces an integrated architecture combining the Internet of Things (IoT) and Deep Learning-based decision-making systems to revolutionize lens quality control. By deploying an …
Published in International Journal of Optical Innovations & Research · Vol. 4, Issue 1, 2026 · pp. 36–41 Read article
-
Parametric Optimization of boring process by alternate tooling head to improve productivity of GG25 cylinder liner- A Review
Abstract: Manufacturing in today’s era is a critical and essential part of society, which always gets better day by day. The optimization of manufacturing process helps in increasing the productivity and economy for both company and customer, which leads to efficient manufacturing. The boring process is used for enlarging the bore of cylinder liner. It is essential process which is considered for dimensional accuracy. The optimization of boring process can lead …
Published in Trends in Mechanical Engineering & Technology · Vol. 8, Issue 2, 2018 · pp. 39–42 Read article
-
A Review on “Optimization of Process Parameters for Honing Process of GG25 Cylinder Liner”
Abstract: Manufacturing processes play requisite role in the market and industries. Stipulation of manufacturing processes has increased now days. Optimization is very essential thing in manufacturing processes. Due to optimization accuracy, productivity can be increased. Honing is a super finishing manufacturing process. Honing provides proficient surface finishing of the cylinder liner. Main purpose of honing is to give prevention against the leakage of oil. So, it can be stated that honing …
Published in Trends in Machine design · Vol. 4, Issue 3, 2017 · pp. 5–7 Read article
-
Enhancing Crop Health: A Review of Image Processing Methods for Leaf Disease Identification
Abstract: This research presents an overview of different image processing techniques for the identification of leaf disease. Many algorithms can be used to identify and categorize leaf diseases in plants, and digital image processing provides a quick, dependable, and accurate method of disease detection. This paper presents various techniques used on multiple crops and the achieved accuracy for each model. Leaf disease detection is a critical task in agriculture to ensure …
Published in Current Trends in Signal Processing · Vol. 14, Issue 1, 2024 · pp. 10–14 Read article
-
Grid Sensitivity and Its Impact on the Hydrodynamics of a Submerged Vessel
Abstract: Accurate prediction of hydrodynamic characteristics is essential for the design and performance assessment of underwater vehicles and offshore structures. Computational fluid dynamics (CFD) has emerged as an effective tool for analyzing fluid flow behavior around submerged bodies, enabling detailed evaluation of pressure distribution, drag forces, and flow patterns. In this study, the effect of mesh refinement on the hydrodynamic analysis of a DRDC-STR submarine nose section was investigated using ANSYS …
Published in Journal of Offshore Structure and Technology · Vol. 13, Issue 2, 2026 · pp. 1–8 Read article
-
Optimizing PLA Filament Production for Enhanced 3D Printing Performance
Abstract: This research explores the optimization of polylactic acid (PLA) filament production to improve its performance in 3D printing applications. PLA is a widely used biodegradable polymer known for its eco-friendliness and ease of processing in additive manufacturing. The study investigates various parameters affecting PLA filament production, including material purity, extrusion temperature, filament diameter consistency, and cooling methods. Furthermore, the research evaluates how these fabrication parameters influence the printability of PLA …
Published in International Journal of Energy and Thermal Applications · Vol. 2, Issue 1, 2024 · pp. 21–29 Read article
-
Comparative Experimental Investigation of Infill Pattern and Infill Density on Fused Deposition Modeling (FDM) Process Characteristics of Polylactic Acid (PLA)
Abstract: Additive manufacturing is the potential and emerging technology widely being used to produce quality products with complicated profiles and customized features. Fused Deposition Modelling (FDM) process, a type of additive manufacturing technology using filament made of thermoplastic which is melted and subsequently extruded through nozzle. The main input process parameters of FDM are wall thickness, infill density, layer height, bed temperature, layer thickness, infill pattern, nozzle temperature etc. In this …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 335–345 Read article
-
Optimizing Mechanical and Durability Properties of Eco-Friendly Composite Materials Using Recycled Fillers and ML Techniques
Abstract: The increasing demand for sustainable construction materials has intensified the exploration of recycled fillers as partial or full replacements for natural aggregates in composite materials. This study investigates the mechanical and durability performance of polymer matrix composites incorporating processed recycled fillers derived from construction and demolition (C&D) waste. Three distinct processing methods were employed to prepare the recycled fillers: untreated (URF), single processed (SPRF), and double processed (DPRF), with replacement …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 269–309 Read article
-
Structural Performance Evaluation of Circular Perforated Plates under Mechanical Loading
Abstract: Circular perforated plates are structurally critical components in aerospace, automotive, and marine sectors, where perforation-induced stress concentrations govern failure under mechanical loading. This study conducts a systematic finite element analysis of stress distribution, deformation, and interlaminar behavior in aluminum and glass-epoxy laminates ([−45/45/90/0]S and [−45/45/90/0]AS) under uniform transverse pressure with clamped-free boundary conditions. Four perforation configurations—no hole, central hole, single-series, and 25-hole grid—were evaluated using ANSYS Shell-181, verified against Kirchhoff–Love, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 1–20 Read article
-
Optimization of Surface Roughness in Cylindrical Traverse Cut Grinding of Glass Fibre Reinforced Epoxy Composite
Abstract: Glass fibre reinforced plastic materials are increasingly used in many engineering applications. Making these materials with high level of dimensional accuracy and fine finish has increased enormously. Present work is planned to investigate the effects of grinding parameters infeed, longitudinal feed and work speed on surface roughness in traverse cut cylindrical grinding of glass fibre reinforced epoxy composite. Box-Behnken experimental design has been used to conduct the experimental runs. Analysis …
Published in Journal of Production Research & Management · Vol. 10, Issue 3, 2020 · pp. 27–33 Read article