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503 articles for “Design process models”
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Physics-Informed Neural Networks for Multiphysics Analysis of Biomedical Polymer Composite Systems
Abstract: Physics-Informed Neural Networks (PINNs) offer an effective model of solving coupled multiphysics equations in biomedical polymer composite systems, which are data-driven. In the given work, the PINN method is presented where equations of elasticity, mass diffusion, and heat transfer are integrated to model the complex processes that take place in composite biomaterials. The neural network loss is specified to include the governing partial different equations which enables both the system …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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An Innovational Approach for Assessment of Hypothetical Emergency Evacuation Distance in Pharmaceutical Industry
Abstract: Nobody predict an emergency or disaster situation especially one that affects them their employees and their business personally. The evacuation is a simple way to evacuate employee from workplace safely. It is very important that the evacuation is having a systematic approach, rules, regulation and design aspect concerns followed during the evacuation. There are number of principles factor and mathematical models which can simulate the evacuation systematically, so the evacuation …
Published in Journal of Industrial Safety Engineering · Vol. 8, Issue 3, 2021 · pp. 31–36 Read article
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Federated Learning Framework for Sustainable Multi-Scale Design of Recyclable Thermoplastic Graphene Composites in Smart Manufacturing Environments
Abstract: The growing demand for sustainable advanced materials has accelerated the development of recyclable thermoplastic graphene composites for next-generation smart manufacturing systems. The typical central optimization methods have challenges with data privacy, scalability, and poor collaboration between distributed manufacturing sites. By combining material informatics, edge intelligence and distributed artificial intelligence, this study introduces a Federated Learning (FL) framework to design recyclable thermoplastic graphene composites at multiple scales sustainably. The proposed framework …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Operational Modeling of Cutting Parameters Influence on Power Consumption and Surface Roughness in CNC Turning of AISI 304
Abstract: This paper describes the power consumption and surface roughness predictive model development in computer numerical control (CNC) turning of AISI 304 austenitic stainless steel using Taguchi method and response surface method (RSM). The experiments are designed and conducted based on Taguchi’s design of experiments (DoE) with cutting speed, feed rate, depth of cut and nose radius as the process parameters. Signal-to-noise (S/N) ratios of responses are calculated to identify the …
Published in Journal of Production Research & Management · Vol. 3, Issue 1, 2013 · pp. 8–15 Read article
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Reducing Cell Density Congestion Issue in Chip Design
Abstract: AbstractThe congestion issues reduce with the help of shrinking process technologies. Here, typical placement objectives involve reducing cell density congestion in a chip design. Congestion reducing is the least understand; however, it models route ability most accurately. The congestion issue is cell density (commonly believed to be very effective) does not always work well, so here by applying the partial block technique for the cell density is among the best …
Published in Journal of Microelectronics and Solid State Devices · Vol. 6, Issue 3, 2019 · pp. 11–17 Read article
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Low Power RF QPSK MODEM Design
Abstract: System-level simulation including design of CMOS circuits for radio frequency QPSK MODEM targeting applications in 2.45 GHz industrial, scientific and medical (ISM) band has been presented in this paper. Based on the QPSK architecture, the MODEM consists of an analog mixer using a voltage multiplier, a 90 °phase shifter, delay circuits, a voltage adder and a filter to detect the information. A code reuse subsystem block consisting of Chebyshev filter …
Published in Journal of VLSI Design Tools and Technology · Vol. 2, Issue 1-2-3, 2012 · pp. 75–86 Read article
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Optimized Structural Design and Prototyping Techniques for Polymer-Matrix Composites in Manufacturing
Abstract: Material called polymer-matrix composites (PMCs) have become very important in modern industry because it is strong and light. To get the most out of them, structure construction must be optimized and advanced testing methods must be used. In this brief, the strategies and methods for improving the performance, lowering prices, and speeding up the production process of PMCs through structural design and prototyping are explained. Optimizing structural design starts with …
Published in Journal of Polymer & Composites · Vol. 12, Issue 4, 2024 · pp. 145–161 Read article
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The Tapper Approach: An Integrated Framework for Land Degradation, Restoration, and Climate-Conflict Dynamics
Abstract: Land systems across the globe are increasingly exposed to multiple and interacting pressures, including land degradation, climate change, biodiversity loss, unsustainable land-use practices, rapid population growth, and socio-economic conflicts. These challenges not only reduce ecosystem productivity and resilience but also threaten food security, water availability, rural livelihoods, and long-term environmental sustainability. Despite the growing recognition of these interconnected issues, most existing conceptual and analytical frameworks continue to address them in …
Published in Research & Reviews : Journal of Ecology · Vol. 15, Issue 2, 2026 · pp. 24–30 Read article
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Autonomous Optimization, Method Design of Casting and Its Experimental Validation: A Case Study
Abstract: The metal casting is a complicated but a mass production manufacturing technique. But on the otherhand, the chances of casting rejection are also more if proper attention is not made at every stage ofcasting production. In the metal casting process, higher yield and minimum defects level are expectedby the foundry industries. In the present global and competitive world metal casting industries needsto perform efficiently with a reduction in rejections. This …
Published in Trends in Machine design · Vol. 8, Issue 1, 2021 · pp. 1–10 Read article
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A Mathematical Perspective on Recent Cloud-Computing Trends for Scalable and Secure Social-Media Platforms
Abstract: Cloud computing underpins modern social-media platforms by providing elastic compute, storage, and data-processing pipelines capable of absorbing highly bursty workloads. This paper surveys recent cloud-native trends—serverless and event-driven design, container orchestration, edge/CDN offload, streaming analytics, and privacy-enhancing security controls—and formalizes their impact through a compact mathematical model. We express workload volatility using arrival-rate functions, use queueing-based capacity sizing to derive auto-scaling rules, and formulate an optimization objective that balances cost …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 35–40 Read article
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Debris Flow Kinetics in Planetary Environments: A Systems Perspective
Abstract: Debris flow kinetics in planetary environments represent a critical intersection of geomorphology, fluid mechanics, and planetary science. These gravity-driven flow mixtures of solids, liquids, and gases play a key role in shaping planetary surfaces and recording environmental histories. This study adopts a systems perspective to analyze debris flow behavior across different planetary contexts, emphasizing the interconnected roles of material properties, energy transformations, and environmental forcing. By integrating rheological models with …
Published in International Journal of Universe · Vol. 1, Issue 2, 2025 · pp. 08–17 Read article
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Design and Validation of Low Power High Speed area effective comparator using CMOS Technology
Abstract: The most fundamental arithmetic comparisons in a digital comparator involve comparing two numbers that are greater than, less than, or equal to each other. While doing enormous level arithmetic comparisons, a digital comparator needs more space, which results in higher power consumption and a delayed response. This can be solved by using N-bit comparator with two modules using 45GPDK CMOS Technology. An N-bit comparator can operate at extremely high speeds …
Published in Recent Trends in Electronics Communication Systems · Vol. 10, Issue 2, 2023 · pp. 20–29 Read article
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Esterification in Reactive Distillation Column Using Software Packages: A Review
Abstract: Abstract: Reactive distillation is the combination of reaction and separation in a same column. This represents an exciting alternative to traditional liquid phase chemical reaction processing. In reactive distillation, separation of products from unconverted reactants allows for better conversion, because produce elimination put out of place equilibrium and forces the reaction towards completion. The energy requirement of the conventional column is very and requires large recycling costs. Reactive Distillation is …
Published in Emerging Trends in Chemical Engineering · Vol. 5, Issue 1, 2018 · pp. 23–27 Read article
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A Review on Materials and Working Process Parameters of Selective Laser Sintering
Abstract: The potential for additive manufacturing technology to replace some of the current conventional manufacturing methods makes it one of the research and development fields that is expanding quickly. With additive manufacturing, three-dimensional physical models are produced layer by layer from computer-aided design (CAD) models. Fully dense metal things may be produced more rapidly and accurately with additive manufacturing. The Selective Laser Sintering (SLS) procedure uses powder bed fusion, in which …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 522–529 Read article
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Artificial Intelligence and Constitutive Modeling Equations for Predictive Design of High-Performance Polymer Composites
Abstract: Growing polymer composite applications demand accurate mechanical prediction, yet complex interactions and conventional constitutive models limit predictive capability and require extensive calibration. To report these challenges, this research recommends a combined Artificial Intelligence (AI) and constitutive modeling approach based on an Enhanced Tasmanian Devil Optimizer-tuned Residual Neural Network with Multilayer Perceptron (ETDO-ResNet-MLP) for the predictive design of high-performance polymer composites. The study uses a publicly available Polymer Composite Property Dataset …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Memristor Modelling for Common Source Amplifier Using 180 nm Technology
Abstract: The objective of this research paper is on memristor modeling for common source amplifier circuit using cadence virtuoso tool at gpdk 180 nm technology. A memristor is the fourth element count after resistor, inductor and capacitor in fundamental electrical circuits assumption is proposed by Leon Chua, its characteristics is based on already occurred principles of voltages (V), current (I), flux (ᵩ) and charge (q). Ohm’s law states relation voltage to …
Published in Journal of VLSI Design Tools and Technology · Vol. 5, Issue 3, 2015 · pp. 45–54 Read article
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AI-Accelerated Development of Gradient Polymer Nanocomposite Thin Films
Abstract: Gradient polymer nanocomposite thin films are an active field of materials research due to the fact that it enables scientists to de-facto regulate the optical, electrical, and mechanical properties of a film by merely altering its composition on a layer-by-layer basis. This type of control opens the gate to the improved flexible electronics, long lasting protective coats, and the new smart gadgets. The problem is, though, that it is a …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 456–469 Read article
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Automated Car License Plate Detection and Recognition Using Deep Learning
Abstract: The use of automated license plate detection and recognition (ALPR) systems to automate processes such as number plate detection is gaining popularity in traffic control, security, and law enforcement. This research focuses on achieving more accurate and efficient detection and recognition of number plates by leveraging deep learning techniques. The systems outlined in this study aim to improve the effectiveness of ALPR systems using advanced convolutional neural networks (CNNs) and …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 1, 2026 · pp. 23–29 Read article
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Exploring the Influence of Machining Parameters on Geometric Form and Orientation Controls (23 Design)
Abstract: This work explores the influence of machining parameters using on geometric form controls flatness and straightness as well as orientation control parallelism using an aluminum 6061 workpiece. Due to its good strength, machinability and cost- effectiveness, aluminum 6061 is widely used. In this experimental work, full factorial design is used and each factor has two levels. The response parameters chosen include flatness, straightness, and parallelism, which govern the form and …
Published in Journal of Experimental & Applied Mechanics · Vol. 16, Issue 1, 2025 · pp. 10–16 Read article
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Virtual Method to Predict Dental Disease
Abstract: The integration of technology and medicine in the healthcare domain has led to the emergence of inventive strategies to improve patient care and diagnostics. One such groundbreaking methodology is the utilization of Convolutional Neural Networks (CNNs) within the domain of deep learning, particularly for image recognition and processing tasks. In this paper, we propose a novel approach to image recognition that employs state-of-the-art deep learning algorithms to create a user-friendly …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 1, 2024 · pp. 8–15 Read article