Search
1916 articles for “Modeler” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
-
Modelling of An Electric Tractor Powertrain using MATLAB/Simulink
Abstract: Lithium-ion battery pack technology is the current trend in the automotive industry. For this study, the authors have selected NMC 18650 lithium-ion cells to design a battery pack for electric tractors and simulating the electric tractor powertrain model to gauge and size the battery pack configuration parameters. The tractor parameters have been selected by comparing with some Indian and Japanese electric tractors. The simulation has been carried out using MATLAB/Simulink …
Published in Journal of Experimental & Applied Mechanics · Vol. 12, Issue 2, 2021 · pp. 1–14 Read article
-
Theoretical modelling of heat transfer in non-homogeneous porous media
Abstract: The paper is focused on the study and analysis of heat transfer in geothermal substrates made up of non-homogeneous porous media. The paper analyses the influence of porosity on the heat transfer as a result of the combination of conduction and convection mechanisms that take place in non-homogeneous porous materials. As a result of the combined effect heat transfer is not homogeneously distributed throughout the cross section of the geothermal …
Published in Journal of Geotechnical Engineering · Vol. 9, Issue 2, 2022 · pp. 44–51 Read article
-
An Approach to Mathematical Modelling of Tensile Strength of 3D Printed ABS Specimens
Abstract: In the present work the tensile properties of 3D printed Acrylonitrile Butadiene Styrene (ABS) are studied. Layer thickness, raster angle and raster width were varied. Experiments were carried out based on Taguchi’s L9 orthogonal array. Tensile strength of ABS specimens was determined from universal testing machine (UTM). Mathematical model was developed to predict the tensile strength of ABS. It is found that the predicted model has good fit with experimental …
Published in Journal of Polymer & Composites · Vol. 9, Issue 2, 2021 · pp. 1–9 Read article
-
A brief review on Fiber reinforced polymer made by Fused Deposition Modeling
Abstract: Rapid prototyping (RP) techniques are used to quickly fabricate prototypes directly from CAD data using 3D printing or additive manufacturing. Fused Deposition Modeling (FDM) is one of the popular techniques of RP used to produce polymer parts, but due to limited mechanical properties of purely printed polymer using FDM there is a need developed to produce composites using FDM. The aim of this review article is to analyze the fiber …
Published in Journal of Production Research & Management · Vol. 8, Issue 1, 2018 · pp. 25–28 Read article
-
Nanoparticle Reinforced Base Material Thermal Properties Using Numerical Model: A Review Paper
Abstract: Present paper deals with the review of the analysis of base materials thermal properties. Nanoparticles are reinforced into the base material to analyse their thermal properties using different numerical models. Mixture rule and Maxwell model are considered to analyse the thermal properties of Al6061/Al7075 base material thermal properties reinforced with silicon carbide, aluminium oxide and copper nanoparticles. From the analysis, it has been found that addition of the nanoparticles into …
Published in Journal of Production Research & Management · Vol. 9, Issue 2, 2019 · pp. 9–11 Read article
-
Regression and ANN Models in Predicting Tool Wear
Abstract: A modern machining system must be able to detect tool wear while milling in order to maintain the product's surface quality. The vibration signatures produced by a single point cutting tool during machining have been found to be good predictors of the tool's health. The current study used Artificial Neural Networks to forecast tool life by analysing vibration signatures when turning EN9 and EN24 steel alloys (ANN). Tool wear prediction …
Published in Journal of Production Research & Management · Vol. 12, Issue 1, 2022 · pp. 14–18 Read article
-
Maximum Power Point Tracker and its model in MATLAB
Abstract: The study says that In a (Power-Voltage or current-voltage) curve of a solar panel, there is an optimum operating point such that the PV delivers the maximum possible power to the load. This unique point is the maximum power point (MPP) of solar panel. Its mathematical models of the components of PV module that is MPPT model uses the MPPT control unit, and Buck- Boost converter to implement a simulation …
Published in Journal of VLSI Design Tools and Technology · Vol. 9, Issue 3, 2019 · pp. 26–31 Read article
-
MODELING EARLY COMPRESSIVE STRENGTH OF CONCRETE PARTIALLY REPLACED WITH HETEROGENEOUS PALM KERNEL SHELL INFLUENCED BY VOID RATIO AND PERMEABILITY
Abstract: The study monitored the partial replacement of palm kernel shell as an aggregate for concrete production, this was carried out using modelling and simulation techniques, such condition were applied to determine other parameters that their significance impact may have not determined its growth rates in terms of compressive strength. The study observed the void and permeability of the material, including heterogeneity, to influence the increase and decrease of compressive growth …
Published in Recent Trends in Civil Engineering & Technology · Vol. 13, Issue 3, 2023 · pp. 24–38 Read article
-
Developing a Model in Matlab/Simulink Environment for Induction Motor Considering Core Loss and Stray Load Loss
Abstract: This paper focuses on a Matlab/Simulink model of a squirrel-cage induction motor with consideration of core loss and stray load loss. This model is based on some mathematical expressions and also described through an equivalent circuit including core loss and stray load loss. The model of induction motor has been developed based on the state space equations in a synchronously rotating reference frame, where core loss and stray load losses …
Published in Trends in Electrical Engineering · Vol. 4, Issue 2, 2014 · pp. 1–12 Read article
-
Modelling of Spot Weld Features Using Solid Works and Experimental Modal Analysis of Resistance Spot Welded Thin Sheets of Low Carbon Steel Panels
Abstract: Resistance Spot Welding of thin (RSW) low carbon steel sheets are widely used in automotive, aero-space sectors, furniture, medical equipments, packaging and electronics industries. Although, RSW is well established for low thickness sheets and static design guidelines are well defined, the dynamic analysis of spot welded panels has not been studied in detail. In this paper, solid modeling is done using Solid Works incorporating all the spot weld geometrical features …
Published in Trends in Machine design · Vol. 10, Issue 3, 2023 · pp. 29–39 Read article
-
Modeling and Simulation Study of Flow and Temperature Characteristics of a Pen-shaped Plasma Torch
Abstract: This study presents the numerical modeling, simulation and experimental findings of plasma flow and temperature characteristics in pen-shaped plasma torch. The complex plasma flow characteristic due to the interaction between electric arc and nitrogen gas inside the pen-shaped plasma torch is modeled using the Maxwell’s and the Magnetic-Hydrodynamic (MHD) equations. Cartesian coordinate based finite volume discretization is used to solve numerically all the governing equations. At a specific boundary condition, …
Published in Trends in Mechanical Engineering & Technology · Vol. 9, Issue 3, 2019 · pp. 22–30 Read article
-
Utilizing Machine Learning to Predict the Dimensional Variation of Shafts Printed using Fused Deposition Modeling
Abstract: With the onset of the fourth industrial paradigm, additive manufacturing techniques are coming to the forefront in mechanical engineering domain. The technological burgeoning of additive manufacturing, particularly 3-D printing, has observed substantial growth in rapid prototyping, functional part manufacturing, and tooling because it has significantly reduced the manufacturing costs and processing time. One of the most commonly used techniques of additive manufacturing is Fused Deposition Modelling (FDM), examining and controlling …
Published in Trends in Mechanical Engineering & Technology · Vol. 11, Issue 2, 2021 · pp. 41–46 Read article
-
Development and Evaluation of Neural Network Model for Incident Detection on Urban Arterials using Simulated Database
Abstract: Incident detection in urban arterial situation is more difficult than the similar job in freeway situation because of the presence of traffic signals and other intersections with associated recurrent queue. Most of the earlier automatic incident detection algorithms address mainly freeway situation. This study aims at development, calibration, validation and testing of an ANN model for incident detection in Kuala Lumpur (KL) arterials using simulated incident database. Database for the …
Published in Trends in Transport Engineering and Applications · Vol. 1, Issue 2, 2014 · pp. 1–14 Read article
-
Survey of Traditional Waterfall Model in SDLC
Abstract: AbstractSoftware development life cycle or SDLC for short is a technique for planning, fabricating, and keeping up data and modern frameworks. Up until this point, there exist numerous SDLC models, one of which is the Waterfall show which involves five stages to be finished successively so as to build up a product arrangement. I consider the waterfall model before the other models because it has had a profound effect on …
Published in Current Trends in Information Technology · Vol. 9, Issue 1, 2019 · pp. 4–6 Read article
-
Real-world Pothole Detection Using Image Processing and Deep Learning Convolutional Neural Network Model
Abstract: Potholes are a major problem of concern in many parts of the cities across the country. Road accidents are one of the causes that significantly affect humanity and result in damage to vehicles and road surface. Potholes are dangerous for pedestrians who walk along the road and vehicular traffic on busy roads. Road accidents are caused due to improper maintenance of roads, and it is imperative to attend to such …
Published in Journal of Computer Technology & Applications · Vol. 14, Issue 3, 2023 · pp. 95–103 Read article
-
Semantic Similarity Framework for Automatic Hallucination Detection in Large Language Models
Abstract: Large Language Models can generate fluent, contextually appropriate text across a range of NLP tasks, but they frequently produce outputs that are factually wrong while sounding confident and plausible. This problem, referred to as hallucination, poses serious risks in domains where accuracy matters. We propose a post-processing framework that detects hallucinated responses by comparing them against verified reference text using sentence embeddings. The system computes cosine similarity between the response …
Published in Emerging Trends in Languages · Vol. 3, Issue 2, 2026 · pp. 16–22 Read article
-
Time Series Forecasting of Electricity Consumption: A Comparative Analysis of ARIMA and SARIMA Models
Abstract: Accurate electricity demand forecasting plays a vital role in energy planning, efficient power system operation, and sustainable resource management. This study conducts a comparative evaluation of the Autoregressive Integrated Moving Average (ARIMA) and Seasonal Autoregressive Integrated Moving Average (SARIMA) models using ten years of monthly electricity consumption data collected from a national electricity regulatory authority. The performance of both models is assessed using forecasting accuracy metrics, including Mean Absolute Error …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 2, 2026 · pp. 43–53 Read article
-
AI-Assisted Kinetic Modeling of PLA Hydrolysis Under Subcritical Water Conditions for Sustainable Polymer Recycling
Abstract: The accumulation of poly (lactic acid) (PLA) in terrestrial and marine ecosystems has intensified the demand for closed-loop, green recycling technologies. Subcritical water (SCW) hydrolysis offers a promising, catalyst-free pathway for the rapid depolymerization of PLA into its constituent monomer, lactic acid. However, the complex, highly non-linear kinetics governing macro-molecular degradation under variable hydrothermal conditions limit real-time process optimization and industrial scalability. This study develops a novel artificial intelligence (AI)-assisted …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 17, Issue 2, 2026 · pp. 65–74 Read article
-
Implement Artificial Intelligence and Machine Learning for Engineering Design, Predictive Modeling, and Optimizing Polymer Nanocomposites
Abstract: Polymer nanocomposites are high performance engineered materials obtained by inclusion of nano-sized fillers into the polymer matrix to enhance mechanical, thermal, electrical, barrier and functional properties. However, the complex and non-linear interactions among polymer chemistry, nanofiller characteristics, filler concentration, dispersion, interfacial bonding and processing conditions make it challenging to anticipate and maximize their properties. Artificial intelligence (AI) and machine learning (ML) offer powerful data-driven solutions to these difficulties by establishing …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
-
A Hybrid Software Engineering Teaching Model (HSETM): Integrating Traditional and Contemporary Pedagogical Approaches
Abstract: Software engineering education faces a persistent dichotomy between traditional lecture-based instruction, which effectively delivers theoretical frameworks but inadequately develops practical competencies, and contemporary pedagogical approaches such as problem-based learning (PBL) and flipped learning, which enhance learner engagement but risk weakening theoretical foundations. This study proposes and empirically validates the Hybrid Software Engineering Teaching Model (HSETM), a systematic integration of traditional and contemporary pedagogical methods designed to overcome this dichotomy. Grounded …
Published in Current Trends in Information Technology · Vol. 16, Issue 2, 2025 · pp. 33–43 Read article