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1313 articles for “optimization models”
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Taguchi based Modeling and Optimization of Tool Wear Rate in Die-Sink EDM
Abstract: With the increasing demand for new, hard, high strength, and temperature-resistant materials in various engineering applications, especially in the field of mold manufacturing, aeronautic, automobile and die manufacturing industries, the development and application of electro-discharge machining (EDM) has become increasingly important to machine such difficult to machine hard materials. In this paper, the machining of EN-31 Die steel using EDM with a copper electrode by using Taguchi’s experimental design and …
Published in Journal of Production Research & Management · Vol. 2, Issue 1, 2012 · pp. 30–35 Read article
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STUDY OF CONCURRENTLY FACTORY LAYOUT DESIGN AND OPTIMIZATION
Abstract: Facility layout issues are found in many forms of design and manufacturing setting. These facilities enable to layout and optimize factory designs in a shared environment. You can quickly develop factory layouts victimization 3D and constant sensible objects, material handling, logistics, and indirect labor are optimized by comparison part routing data, material storage needs, and material handling instrumentation specification against the plant layout. This method permits manufacturing firms to make …
Published in Journal of Production Research & Management · Vol. 12, Issue 3, 2022 · pp. 35–45 Read article
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Operational Modelling and Analytical Analysis of Connecting Rod Using the Computer Aided Design
Abstract: The main objective of this study was to explore weight reduction opportunities for a production forged steel connecting rod. This has entailed performing a detailed load analysis. Therefore, this study has dealt with two subjects, first, static load stress analysis of the connecting rod, and second, optimization for weight. In this project, finite element analysis of single cylinder four stroke petrol engine is taken as a case study. Structural systems …
Published in Trends in Mechanical Engineering & Technology · Vol. 4, Issue 3, 2014 · pp. 1–5 Read article
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Nonlinear Mathematical Modelling and Adaptive Optimization of Nuclear Reactor Thermal-Hydraulic Systems for Safe and Efficient Operation
Abstract: Advanced nuclear reactors are characterized by strongly coupled nonlinear interactions among neutron kinetics, reactor power, fuel temperature, coolant temperature, reactivity, and coolant flow. Accurate mathematical representation of these interactions is essential for analysing reactor stability, thermal behaviour, and safe operating conditions. This study develops a nonlinear mathematical framework for coupled neutronic–thermal reactor dynamics by integrating point-reactor kinetics, delayed-neutron precursor equations, fuel and coolant energy balances, and temperature- dependent reactivity feedback. …
Published in Journal of Thermal Engineering and Applications · Vol. 16, Issue 2, 2026 Read article
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Agentic AI-Driven Negative Emission Optimization: Large Language Model Orchestration and Quantum Annealing for Real-Time Carbon Capture Policy Simulation Beyond 1.5°C Thresholds
Abstract: The convergence of agentic artificial intelligence, large language model (LLM) orchestration, and quantum annealing presents a transformative paradigm for climate policy computation. This paper introduces Nega Optima a multi-agent computational architecture that integrates LLM-driven policy parsing, quantum annealing-based combinatorial optimization, and real-time integrated assessment model (IAM) feedback loops to simulate negative emission technology (NET) deployment strategies in a post-1.5°C overshoot scenario. Existing carbon capture optimization frameworks suffer from three systemic …
Published in International Journal of Climate Conditions · Vol. 3, Issue 2, 2026 · pp. 7–14 Read article
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Optimum Mixture Proportioning of Sawdust Ash Blended Sand-Stone Dust Blocks Using Scheffe’s Regression Theory
Abstract: This study carried out an experimental investigation on the compressive strength of sawdust ash blended sand-stone dust block of size 450 x 225 x 150 mm using Scheffe’s (5, 2) regression theory. The compressive strength of sawdust ash blended sand-stone dust blocks obtained based on fifteen trial mix ratios were used to develop the mathematical model while the results of the compressive strength values obtained based on the additional fifteen …
Published in Journal of Construction Engineering, Technology & Management · Vol. 13, Issue 2, 2023 · pp. 33–40 Read article
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Structure-Property Modeling and Engineering Optimization of Biodegradable Starch-Cellulose Biofoams for Sustainable Packaging
Abstract: Since the packaging industry is an engineered product with complex composites that involve a close relationship between composition, processing, and performance, optimization of formulation, cellular morphology, and engineering performance of biodegradable starch-based biofoams presents a considerable challenge. This study proposes a machine-learning-aided structure–property modeling framework to design and optimize starch-based biodegradable biofoams for sustainable packaging applications. A physics-informed synthetic dataset consisting of 10,000 formulations was created based on engineering relationships …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
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Advancements in Quantum Computing: Challenges and Prospects
Abstract: Quantum computing has emerged as a promising field with the potential to revolutionize computation by harnessing the principles of quantum mechanics. In recent years, significant advancements have been made in the development of quantum computers, quantum algorithms, and quantum error correction. However, several challenges still need to be overcome before quantum computing can become a practical and scalable technology.This review article provides a comprehensive overview of the recent advancements in …
Published in Research & Reviews : Journal of Physics · Vol. 12, Issue 1, 2023 · pp. 22–25 Read article
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Optimizing Machinability in Wire EDM of AISI P20 Steel Employing Composite Material Wires with Hybrid Neural Network Approach
Abstract: AISI P20+Ni steel is extensively used for forging dies, plastic moulds, and automotive die components due to its excellent polishability, hardness, and homogeneity. This research utilizes Wire Electrical Discharge Machining (WEDM) to process pre-hardened AISI P20+Ni steel, focusing on minimizing both recast layer thickness (RLT) and kerf width (KW). The performance of wires made from composite materials, including zinc-coated brass wire (ZBW), cryogenically treated ZBW (CZBW), and ultrasonic vibration-assisted brass …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1120–1133 Read article
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An effort for maximizing the material removal rate during the wire cutting of difficult to machine Inconel X750 using electric discharge machining process
Abstract: The growing demand for harder materials with exceptional hardness poses a significant challenge for industries as achieving precise machining becomes increasingly tricky. The Inconel family of materials, renowned for their hardness, has been extensively studied. However, with the continuous introduction of new materials, the scope of research remains vast. In this context, Inconel X750, a corrosion and oxidation resistance, nickel-chromium-based alloy with excellent hardness, has gained attention. Despite its significance, …
Published in Journal of Polymer & Composites · Vol. 11, Issue 12, 2023 · pp. 1–17 Read article
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Multi-directional Wind Turbine System Optimisation and Mathematical Modelling for India’s Sustainable Wind Energy Development
Abstract: The global trend towards green energy usage is expanding. Wind power is clean and sustainable and may compete with fossil fuels in the electricity market. This project's manufacturing cost must match fossil fuels or other energy sources to be competitive. The main investment in wind generation is in machinery and infrastructure. Wind power becomes competitive by lowering energy costs through turbine design, building, and operation. Understanding wind turbine activity over …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 1, Issue 1, 2023 · pp. 32–42 Read article
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Spintronic Logic Device Modeling and Energy Optimization for Beyond-CMOS Computing Systems
Abstract: The continuous scaling limitations of conventional CMOS technology have accelerated the exploration of alternative computing paradigms for next-generation low-power and high-performance systems. Spintronic logic devices have emerged as a promising solution due to their non-volatility, ultra-low switching energy, high integration density, and compatibility with beyond-CMOS architectures. This research presents a comprehensive modeling and energy optimization framework for spintronic logic devices applied in beyond- CMOS computing systems. The proposed work investigates …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 4, Issue 1, 2026 Read article
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Automated Machine Learning System for Model Selection and Hyperparameter Optimization
Abstract: The proliferation of machine learning applications in various scientific and industrial domains has given rise to an urgent need for developing principled, automated techniques for optimal architecture selection and hyperparameter tuning for machine learning models without human expert intervention. In this paper, we introduce the Automated Machine Learning System for Model selection and hyperparameter Optimization (AMLSMO)—a state-of-the-art, all-encompassing AutoML system that combines the power of meta-learning-based warm-starting, Bayesian Optimization with …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 15–23 Read article
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An Enhanced Application Oriented Predictive Analytic using Optimal Deep Learning Model
Abstract: In order to presents better Predictiveanalytic models of different data using various machine learning algorithms. The data prediction is developed on various applications. These applications are facing many challenges while collecting data and data selection etc. The proposed prediction model involves several phases like (a) Data acquisition, (b) Data cleaning, (c) Data normalization, (d) Optimal Feature selection, and (e) Prediction. The optimal feature selection will be accomplished by a new …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 7, Issue 2, 2020 · pp. 5–10 Read article
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A Secure Storage Model with Authentication and Optimal Key Generation Based Encryption
Abstract: In digital forensics, ensuring the secure storage of digital evidence is crucial. This paper introduces a new method that uses advanced encryption and key generation techniques to protect digital evidence throughout an investigation. Cloud forensics, a modern approach to digital forensics, aims to safeguard evidence from online hacking. However, storing all evidence in one central location can reduce its reliability. To address this, we propose a digital forensics architecture for …
Published in Journal of Control & Instrumentation · Vol. 17, Issue 1, 2026 · pp. 7–13 Read article
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Design, Mathematical Modeling, and Dynamic Optimization of a Speed Breaker-Based Vehicular Kinetic Energy Harvester
Abstract: Decentralized energy harvesting methods are becoming more popular due to rapid urbanization and the rising need for sustainable infrastructure. The road-embedded vehicle kinetic energy harvester (VKEH) design, mathematical modelling, and experimental validation are presented in this work. This paper presents the structural engineering, continuum mathematical modeling, and experimental validation of an optimized road-embedded vehicular kinetic energy harvester (VKEH). The mechanism utilizes a spring- loaded, low-friction rack-and-pinion transmission coupled with a …
Published in International Journal of Electrical Power and Machine Systems · Vol. 4, Issue 2, 2026 Read article
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Hydrodynamic and Sedimentation Modelling for Capacity Optimization of OR1, OR2, and Fertilizer Berths at Visakhapatnam Port, India
Abstract: This study presents comprehensive hydrodynamic and sediment transport modeling undertaken to assess the impact of proposed deepening and development at the Western Arm of the Visakhapatnam Inner Harbor, India, encompassing OR1, OR2, and Fertilizer berths. The work, carried out by the Central Water and Power Research Station (CWPRS) for the Visakhapatnam Port, utilized the MIKE 21 Flexible Mesh (FM) finite-volume model to simulate hydrodynamic and siltation conditions under existing and …
Published in Journal of Water Resource Engineering and Management · Vol. 13, Issue 1, 2026 · pp. 33–51 Read article
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Mathematical Modeling and Multi-Objective Optimization of RIS-Assisted 6G Wireless Communication Systems
Abstract: Reconfigurable Intelligent Surfaces (RIS) have become a potential technology for sixth generation (6G) wireless communication because they improve network coverage, spectrum efficiency, and energy efficiency while allowing programmable control of electromagnetic propagation. This study presents a comprehensive mathematical modeling and multi-objective optimization framework for RIS-assisted 6G wireless communication systems. The proposed model jointly considers the wireless channel, RIS reflection coefficients, transmit power, beamforming vectors, user association, achievable data rate, energy …
Published in Recent Trends in Electronics Communication Systems · Vol. 13, Issue 2, 2026 Read article
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Cost Objective Model for Construction Equipment Replacement Policies
Abstract: Most construction companies, particularly companies whose projects are primarily constructed with earthmoving equipment, depend heavily on their construction equipment fleets, which represent substantial locked capital investment and require acceptable utilization levels to recover expenses incurred and losses from this investment. The equipment, which possesses a finite physical and economic life, inevitably requires replacement, and equipment maintenance costs increase with the equipment life. Different methodologies are employed to establish the replacement …
Published in Journal of Construction Engineering, Technology & Management · Vol. 4, Issue 2, 2014 · pp. 1–13 Read article
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Exploring the Development of AI Models Using Open-Source Tools to Predict Patient Outcomes and Optimize Treatment Plans
Abstract: Integrating artificial intelligence (AI) into healthcare offers a transformative opportunity to enhance patient care and clinical decision-making. Through the use of predictive analytics, AI can significantly enhance the accuracy of outcome predictions and assist in developing personalized treatment plans that cater to each patient’s specific needs. This paper delves into the development of AI models using open-source tools, which are increasingly favored for their accessibility, collaborative nature, and capacity for …
Published in Journal of Open Source Developments · Vol. 11, Issue 3, 2024 · pp. 37–49 Read article