Search
1889 articles for “model analysis” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
-
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
-
Simulation of Flow Vorticity and Instability Analysis in a Solid Rocket Motor
Abstract: Combustion instability is a major problem in most solid rocket motor (SRM) during its operation. More form of instability is generated due to several factors like coupling of combustion acoustic waves with flow dynamics, grain configuration, combustion chamber design, combustible mixture, etc. This type of flow turbulence is sustained in such system for long durations and leads to failure of the mission. In this paper, an effort has been made …
Published in Journal of Experimental & Applied Mechanics · Vol. 14, Issue 4, 2023 Read article
-
Design of C-Frame for Assembly of Mechanical Power Press
Abstract: The aim is to generate the model for assembly operation known as mechanical press machine. Using the concept of reverse engineering, the C-frame has been designed considering stress distribution, deflection, and design specification. Thus, a reciprocating piston is used which apply force upon component with the help of a special tool mounted on the piston. The optimum objective of this study is to observe the finite element modeling of ‘C’ …
Published in Trends in Machine design · Vol. 3, Issue 1, 2016 · pp. 24–29 Read article
-
Thermal Analysis and Computer Aided Exhaust Valve Design Automation Using CREO and Microsoft Excel Spreadsheet
Abstract: 3D modeling has widely been used because of their ease in visualization, understanding andgeneration of manufacturing drawing sheets compared to 2D drafting. 3D Modeling is the timeconsumingprocess and many draftsmen does not have the skill to draw a 3D object inside a CADpackages. Internal combustion engine consists of two type of valves inlet valve and exhaust valve. Thepair of inlet and exhaust valve is called as poppet valves. Exhaust valve …
Published in Trends in Machine design · Vol. 8, Issue 1, 2021 · pp. 26–41 Read article
-
Structural and Thermal Analysis of LPG Gas Stove
Abstract: In this manuscript, various analyses were performed such as the structural and thermal using Fusion 360 software. I designed the model of an LPG Gas Stove to perform the analyses. Firstly, I have done the structural analysis to know the effects of loads on the physical structure of my model and its components, it is performed to know the maximum loads that the model can with stand. And obtained the …
Published in Trends in Machine design · Vol. 8, Issue 3, 2021 · pp. 21–31 Read article
-
Sentiment Analysis Based Telecom Churn Prediction
Abstract: Predicting customer churn is a big challenge and a survival basic for Telecom operators. In a large and competitive market like India, it is very essential to gather real-time customer feedback as a health indicator. Social networks have evolved as a rich source of real-time sentiments and opinions of the general public. In this research, tweets for the Twitter handle of 5 major telecom brands in India: Aircel, Bharti Airtel, …
Published in Journal of Web Engineering & Technology · Vol. 7, Issue 1, 2020 · pp. 6–12 Read article
-
Micro Level Mobility Intervention in Urban Spatial Structure in Reducing GHG Emissions: A Case of The City of Lucknow, Prayagraj and Varanasi
Abstract: In contemporary times, the Greenhouse Effect has emerged as a paramount concern in urban areas. With India undergoing rapid urbanization, cities are witnessing soaring temperatures. Greenhouse gas emissions are one of the main causes of the Greenhouse Effect. India stands among the highest emitters of GHGs, primarily stemming from the energy sector, particularly in electricity generation. The period from 2005 to 2018 saw a noteworthy surge in India's emissions, largely …
Published in Trends in Transport Engineering and Applications · Vol. 12, Issue 3, 2025 · pp. 25–33 Read article
-
Nonlinear Finite Element Analysis of Reinforced Concrete Exterior Beam Column Joint Subjected to Monotonic Loading
Abstract: A numerical analysis of exterior beam-column joint subjected to constant axial load on the column top and monotonic load applied at the beam tip is presented in this work. A strain-based nonlinear finite element program is developed in MATLAB R2009a. The nonlinear analysis of reinforced concrete structural member is carried out considering it as a two-phase system. The concrete in nonlinear range is considered as orthotropic material having different stress-strain …
Published in Recent Trends in Civil Engineering & Technology · Vol. 4, Issue 2, 2014 · pp. 12–21 Read article
-
Differential Model of Wave Vibration on Strings and Rods
Abstract: Vibration, as a physical phenomenon, plays a multifaceted role in both natural and engineered systems. Beyond its essential contribution to communication through sound and speech, it finds critical application in various technological domains. For instance, in the design of stringed musical instruments such as violins and guitars, precise manipulation of string vibrations defines tonal quality and musical resonance. Similarly, metal rods in tuning forks exhibit vibrational properties that are finely …
Published in Research & Reviews : Journal of Physics · Vol. 14, Issue 1, 2025 · pp. 17–21 Read article
-
Custom-Made Temporomandibular Joint Replacement Design Process
Abstract: AbstractTemporomandibular joint (TMJ) is a joint of small dimensions composed by two components: condyle, the extremity of mandibular bone, and fossa, in the cranial bone. TMJ is one of the most used human joints, because it is used to talk, eat, and breathe, for example. For this reason, TMJ disorder can significantly impair patient's quality of life. So that, it becomes necessary to replace the natural joint with an alloplastic …
Published in Research and Reviews: A Journal of Dentistry · Vol. 13, Issue 3, 2022 · pp. 1–13 Read article
-
Design, Modeling and Simulation of a 2-DOF Microgripper using Piezoelectric Actuator
Abstract: Aiming at the micro-assembly and micromanipulation of micro structures, a monolithic compliant-flexure based microgripper is introduced. This paper presents the design, modeling and simulation of a 2 DOF monolithic microgripper. In the proposed microgripper 2 piezoelectric stack actuators are used to obtain the tip displacement and the gripping force. The relationship between the gripping force, tip displacement in horizontal and vertical direction, input force and input displacement of the piezoelectric …
Published in Recent Trends in Electronics Communication Systems · Vol. 2, Issue 1, 2015 · pp. 10–18 Read article
-
Review On BIM-Based (Revit+Robot Software) Comparative Wind Load Analysis of High-Rise RCC Buildings in Zone-III, IV and V
Abstract: Wind load is one of the most critical factors influencing the design and serviceability of high-rise reinforced concrete (RCC) buildings. As building height increases, wind-induced effects such as storey drift, lateral displacement, and structural stiffness become dominant design considerations. Numerous studies have been conducted using conventional and advanced techniques such as Finite Element Method (FEM), Computational Fluid Dynamics (CFD), and Building Information Modelling (BIM). However, limited research focuses on comparative …
Published in Journal of Structural Engineering and Management · Vol. 13, Issue 2, 2026 · pp. 27–41 Read article
-
Forecasting Commodity Prices Using Deep Learning Techniques: An Empirical Evidence from India
Abstract: Commodity price forecasting is instrumental in financial markets, providing framework for investment choices and risk management practices. Traditional models, including statistical and machine learning approaches, have limitations in capturing the nonlinear and volatile nature of commodity prices. Deep learning (DL) techniques have emerged as promising alternatives, leveraging advanced neural networks to enhance predictive accuracy. This study presents a thorough and comprehensive examination of deep learning applications in commodity price prediction, …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 3, 2025 · pp. 08–12 Read article
-
Design and Analysis of Automobile Hood
Abstract: Bonnet is a main component of front portion of a car one which is used for many purposes. It is usedto decorate the car and add luxurious look. Bonnet is made in aerodynamic shape to reduce airresistance. Bonnet generally used to cover car engine. Therefore, the bonnet system is an accesspanel to the engine compartment to enable maintenance of power train, drive belts, battery, fluidlevels and lamp units, and it …
Published in Journal of Production Research & Management · Vol. 11, Issue 1, 2021 · pp. 42–52 Read article
-
R-M and M-R Model for Interpreting Logic State of Memristor Aided NOR with Enhanced Noise Margin
Abstract: Memristive crossbar arrays are one of the fascinating subjects in the field of nanoelectronics and memory devices. The arrangement of arrays consists of grid-like structure with rows and columns of memristors which are resistive devices that can preserve their resistance state even after power is turned OFF. They have now emerged as a promising alternative to traditional memory technologies due to their high density, non-volatility and low power consumption. This …
Published in Recent Trends in Mathematics · Vol. 1, Issue 1, 2024 · pp. 35–41 Read article
-
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
-
Revolutionizing Petrology and Mineralogy: The Study of AI and Advanced Sensor Technologies
Abstract: Petrology and mineralogy are fundamental to understanding Earth's intricate processes, from crustal evolution to economic resource formation. However, traditional methods, while precise, are often laborious, time-consuming, and occasionally subject to interpretive bias. This abstract explores the transformative potential of integrating cutting-edge Artificial Intelligence (AI) and advanced sensor technologies to revolutionize data acquisition, analysis, and interpretation in these critical geosciences. Advanced sensor technologies, including high-resolution spectral imaging (hyperspectral, Raman), automated X-ray …
Published in International Journal of Minerals · Vol. 2, Issue 2, 2025 · pp. 1–11 Read article
-
Enhancement in Biomedical Polymer Nanocomposites: Biocompatibility and Mechanical Property Predictions using Machine Learning
Abstract: A machine learning (ML)-based framework is developed and validated through experimental analysis and comparative modeling to enhance system dependability and improve prediction performance. The proposed framework includes key stages such as data preprocessing, feature evaluation, model training, and performance benchmarking to determine the most effective prediction technique. Several machine learning models were evaluated, including Ensemble models, Artificial Neural Networks (ANN), Decision Tree (DT), Random Forest (RF), Support Vector Machine (SVM), …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 275–296 Read article
-
Effect of Compressive Strength of Core and Precast Concrete on the Behavior of Column Retrofitted by Precast Segment and FRP Wrapping – A Finite Element Study
Abstract: In the present investigation the effect of compressive strength of core and precast concrete on the behavior of columns retrofitted by attaching precast segments and followed by FRP wrapping through Finite Element Analysis. A rectangular column converted into an elliptical column by attaching precast segment is modeled using ANSYS workbench, A Finite Element Analysis software. A Finite Element Model is developed, considering various structural parameters such as grades of core …
Published in Journal of Polymer & Composites · Vol. 12, Issue 2, 2024 · pp. 302–310 Read article
-
Harnessing Machine Learning for Stock Movement Prediction: A Review of Current Approaches
Abstract: Stock price prediction is a crucial task in financial analysis, aiding investors and traders in making informed decisions. This study investigates the use of deep learning methods, particularly Long Short-Term Memory (LSTM) networks, for predicting stock prices based on historical market data. The dataset, sourced from Yahoo Finance, consists of time-series stock price data, which is preprocessed, feature-engineered, and visualized to improve prediction accuracy. The model's performance is assessed using …
Published in Journal of Advances in Shell Programming · Vol. 12, Issue 2, 2025 · pp. 29–40 Read article