Search
1330 articles for “FE analysis”
-
Advanced Quantitative Analysis of Dynamic Recovery during Warm Working of FCC Alloys
Abstract: Metal working processes of warm working require an advanced quantitative analysis of dynamic and static recovery of dislocations to control microstructures and crucial shape forming properties. Feasibility of dynamic recovery by thermal glide and static recovery by climb of constricted jogs, applicable to ausforming, nano bulk forming by SPD and normalizing has been addressed to design new steels, used for hulls, and tribologically superior bearings. Predictive dislocation recovery analysis shows …
Published in Journal of Materials & Metallurgical Engineering Read article
-
Advanced Quantitative Analysis of Dynamic Recovery During Warm Working of FCC Alloys
Abstract: Metal working processes of warm working require an advanced quantitative analysis of dynamic and static recovery of dislocations to control microstructures and crucial shape forming properties. Feasibility of dynamic recovery by thermal glide and static recovery by climb of constricted jogs, applicable to ausforming, nano bulk forming by SPD and normalizing has been addressed to design new steels, used for hulls and tribologically superior bearings. Predictive dislocation recovery analysis shows …
Published in Journal of Materials & Metallurgical Engineering · Vol. 12, Issue 1, 2022 · pp. 1–14 Read article
-
Preliminary In Silico Analysis of Choline Monooxygenase and Betaine Aldehyde Dehydrogenase from Suaeda monoica Forssk. and its Expression in E. coli.
Abstract: AbstractIn a tropical country like India, the yield of crop plants is majorly affected by soil salinity and drought. One of the strategies to address this problem is by introducing genes responsible for salinity/drought tolerance in crop plants. Such genes could be identified and isolated from mangrove plants, as they are known to have evolved certain physiological mechanisms to augment saline environments. One such mechanism is the accumulation of Glycine …
Published in Research and Reviews : Journal of Computational Biology · Vol. 9, Issue 1, 2020 · pp. 10–39 Read article
-
Study of Dielectric and Magnetic properties for ZnFe 2 O 4 Nanoparticles Synthesized usinghigh current Exploding Technique
Abstract: The current article uses the exploding wire technique to examine the magnetic, electrical, and dielectric properties of nanoscale zinc copper ferrite (ZnFe2O4). The SEM micrographs confirm the almost uniform size distribution of the nanoparticles. The Mossbauer spectrum of the nanoparticles was recorded with an externally applied magnetic field at room temperature. The ferromagnetic behavior of the ZFO sample was determined through VSM measurements at ambient temperature, and the M-H loop …
Published in Journal of Polymer & Composites · Vol. 11, Issue 12, 2023 · pp. 161–166 Read article
-
Control and Stabilization of Maglev System Using 2-DOF PID Controller and its Comparative Analysis with Other PID Controller
Abstract: AbstractA Magnetic air suspension or a magnetic levitation has turned out to be a very capable technique in the fast common transport system because of its frictionless motion. Due to open-loop system, the elevation in magnetic air is an extremely unstable system; and hence to stabilise this it desire a controller in order to its stabilization and position-tracing. Because of its nonlinear behaviour, its controller implementation is a tough task. …
Published in Journal of Electronic Design Technology · Vol. 11, Issue 2, 2020 · pp. 1–6 Read article
-
AGRISMART: Crop and Soil Management System
Abstract: Agriculture has played a crucial role in developing countries where the majority of the rural population relies on it for their livelihoods. A finer-grade crop classification has become crucial in the context of precision agriculture. In recent years, the volume of open image data has grown significantly. This can be used in combination with machine learning techniques to classify crop types in the agricultural industry. The proposed crop species recognition …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 3, 2025 · pp. 50–55 Read article
-
AI-Assisted Gain Scheduling for Real-Time Temperature Control in Chemical Reactors
Abstract: Temperature control in continuous stirred-tank reactors (CSTR) represents a critical challenge in chemical process industries due to inherent nonlinearities, time-varying dynamics, and parametric uncertainties. Conventional proportional-integral-derivative (PID) controllers with fixed gains often fail to maintain optimal performance across varying operating conditions, leading to temperature excursions that compromise product quality and safety. This paper presents a novel AI-assisted gain scheduling framework that integrates artificial neural networks (ANN) with adaptive PID control …
Published in Journal of Control & Instrumentation · Vol. 17, Issue 1, 2026 · pp. 24–33 Read article
-
DYNAMIC ANALYSIS OF STRUCTURES CONSIDERING WAFFLE SLAB WITH AND WITHOUT DROPS AND BEAMS
Abstract: The seismic performance of a structure is a fundamental and vital aspect of structural engineering, carrying significant importance in ensuring safety and stability. This study investigates the dynamic behavior of structures employing waffle slab designs with and without drops and beams, focusing on varying panel sizes. Commercial buildings, each comprising 12 stories with heights of 3.5 meters, were analyzed using the Response Spectrum Method in seismic Zone III, utilizing ETABS …
Published in Recent Trends in Civil Engineering & Technology · Vol. 14, Issue 2, 2024 · pp. 41–60 Read article
-
An Intelligent Neural Networks Approach for Monitoring of Soilless Urban Farms
Abstract: Urban agriculture is increasingly recognized as a sustainable approach to addressing food security challenges in rapidly growing and densely populated cities. Conventional soil-based farming often faces limitations such as space scarcity, excessive water consumption, and environmental degradation. To overcome these challenges, soilless farming techniques such as hydroponics and aeroponics have gained significant attention due to their efficient utilization of space, reduced water requirements, and potential for year-round crop production. However, …
Published in Journal of Water Resource Engineering and Management · Vol. 12, Issue 3, 2025 · pp. 31–37 Read article
-
Data-Driven Energy Forecasting for Smart Homes: Ensemble Learning from IoT Meters and Relevance for Polymer-Composite Based Smart Infrastructure
Abstract: Reliable estimation of household electricity demand is relevant in creating efficiency in energy usage, optimization of the loads, and intelligent demand-side management in intelligent grid systems. This paper introduces a varied machine learning model that approaches residential electric consumption prediction using an assortment of ensemble regression boosts, including Linear Regression, Lasso Regression, Decision Tree Regressor, Random Forest, and Gradient Boosting, to predict residential electricity consumption environments on a time-series arrested …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 29–64 Read article
-
Performance Evaluation of a Tilted Single Axis Photovoltaic Tracking System under Different Weather Conditions
Abstract: AbstractExperimental studies were carried out using 37 W photovoltaic (PV) panels under different weather conditions over a prolonged duration of time to evaluate the performance of a low cost tilted single axis tracking system in comparison with a horizontal single axis tracking system and two fixed PV systems. A horizontal single axis PV panel tracker (HSAPVPT) and a tilted single axis PV panel tracker (TSAPVPT) were set up to compare …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 8, Issue 2, 2017 · pp. 45–55 Read article
-
A systematic review on computer usage among employees and its impact on musculoskeletal disorders
Abstract: AbstractAn insight into occupational stress enlightens on both contributing factors as well as their management. Musculoskeletal disorders (MSD) are prevalent across a wide range of occupations, accounting for 42 - 58% of all work-related disorders. Computer users, in particular suffer from poor working postures often resulting in MSDs. This review article examines the prevalence and risk factors for MSDs amongst them. Remedial measures for combating stress and musculoskeletal problems have …
Published in Journal of Industrial Safety Engineering · Vol. 4, Issue 3, 2017 · pp. 43–54 Read article
-
AI-Driven Dairy Ledger: Enhancing Efficiency with Machine Learning
Abstract: The dairy business nevertheless has ongoing difficulties with financial management, record-keeping, and operational effectiveness, which frequently lead to resource mismanagement, human mistakes, and revenue losses. These problems are most noticeable on small- to medium-sized farms where manual labor is the primary method. This study introduces an AI-driven Dairy Ledger, a complete machine learning-powered system designed to automate and optimize key dairy functions, such as tracking cow feed orders, managing milk …
Published in Trends in Machine design · Vol. 13, Issue 2, 2026 · pp. 36–46 Read article
-
AI – Driven Smart Laboratory for Synthetic Organic Chemistry – A Literature Review
Abstract: The traditional chemistry laboratory is often subjective, time consuming and skill intensive that may lead to inconsistencies in the desired results. The advent of Artificial Intelligence (AI) and its speedy incorporation into the field of chemistry is transforming traditional synthetic laboratories into intelligent, automated systems that combine hardware, software and AI into a unified framework. This paper presents a comprehensive overview of AI – driven laboratory setup for organic synthesis, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
-
Economical Design of Stiffened Plate using FEM
Abstract: This paper presents the economical design of stiffened plate subjected to transverse load. The model of stiffened plate is developed using ANSYS APDL 14.0 for the finite element analysis and design. At first, a convergence study is carried out to arrest the optimum mesh size for discretizing the plate. The maximum deflection of plate with and without stiffeners subjected to point and uniformly distributed load for both fixed and simply …
Published in Journal of Structural Engineering and Management · Vol. 4, Issue 2, 2017 · pp. 50–57 Read article
-
A Study on Automatic Feedback Control by Image Processing for Mixing Solutions in a Microfluidic Device
Abstract: Precise and rapid mixing of chemical and biological reagents is a critical yet challenging aspect of microfluidic systems, often limited by laminar flow conditions and the need for manual or pre- programmed interventions. Existing mixing strategies frequently lack real-time adaptability and closed-loop control, hindering reproducibility and the execution of complex reaction protocols. This work presents an innovative automatic feedback control system utilizing the study on real- time image processing to …
Published in International Journal of Advanced Control and System Engineering · Vol. 3, Issue 2, 2025 · pp. 32–41 Read article
-
Transcript Summarizer of YouTube Videos Using Deep Learning
Abstract: Transcriber Sum is a deep learning-based YouTube transcript summarization tool. It employs advanced machine learning techniques to automatically generate concise summaries of YouTube video transcripts, enabling users to quickly grasp the key content and insights of videos without the need to watch or read the entire transcript. This Transcriber Sum addresses the challenge of providing users with concise and informative summaries of video content by harnessing the power of deep …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 3, 2024 · pp. 119–126 Read article
-
Luminodeficit: The Paradox of High Rent and Abandoned Interiors
Abstract: The paradox of high rent and poor daylighting in residential buildings is a pressing issue in urban areas like Port Harcourt, Rivers State, Nigeria. Despite paying premium rents, many residents experience inadequate daylighting, leading to unexpected behavioral outcomes. This study aims to explore the effects of daylight deprivation on residents of high-rent residential buildings in Port Harcourt. It investigates how poor daylighting influences indoor time spent and overall occupant satisfaction, …
Published in International Journal of Environmental Planning and Development Architecture · Vol. 3, Issue 2, 2025 · pp. 1–7 Read article
-
Economic and Technical Feasibility of Waste-to-Energy Conversion for Pollution Control
Abstract: This review study explores waste-to-energy (WtE) conversion's technical and economic viability as a pollution management strategy. The paper presents a critical review of WtE technologies and their potential contributions to pollution reduction considering the urgent need for sustainable waste management in the face of rising environmental issues. The evaluation of the literature includes a thorough investigation of WtE technologies and their development over time. Understanding the technological capabilities of different …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 1, Issue 1, 2023 · pp. 25–30 Read article
-
An Evaluation of the Impact of a Structured Teaching Program on Staff Nurses' Knowledge of Low Back Pain Prevention in Intensive Care Units at Selected Hospitals in Bangalore
Abstract: The study aimed to assess the knowledge of ICU nurses concerning the prevention of low back pain (LBP), determine the effectiveness of a structured teaching program (STP) in improving their knowledge, and examine the relationship between pre-test knowledge levels and various demographic factors. A pre-experimental research design was utilized, featuring a one-group pre-test and post-test method. The study employed non-probability convenience sampling to recruit 60 ICU nurses for participation. Data …
Published in International Journal of Orthopedic Nursing and Practices · Vol. 2, Issue 2, 2024 · pp. 1–13 Read article