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503 articles for “Design process models”
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Comparison of Mamdani and Sugeno Fuzzy Inference Systems for a Three Tank Level Control System
Abstract: The level control of a three tank system has become a research focus due to the nonlinear process and multivariables. It is well known that the conventional controllers are suitable to control linear processes and their design is based on the exact mathematical model. In this paper, we developed a mathematical model for a three tank system and proposed an effective controller design based on fuzzy logic by which more …
Published in Journal of Control & Instrumentation · Vol. 5, Issue 2, 2014 · pp. 14–20 Read article
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A Study on Chatter Marks in Crankshaft Pin Grinding Process Using Taguchi Technique
Abstract: Crankshaft pin grinding is a vital machining process in automotive industry. It is a finishing operation to the crankshaft of the engine, which if neglected could lead to a significant cost to the manufacturer of warranty claims. The study aims at identifying significant process parameters that are influencing the chatter marks and also setting the process parameters of the machine to get a good quality product. Chatter marks are the …
Published in Journal of Mechatronics and Automation · Vol. 5, Issue 1, 2018 · pp. 1–5 Read article
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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
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Continuous-Time Modelling of the Two-Input Fourth Order DC_DC Converter
Abstract: Two-input fourth-order integrated (TIFOI) converter is designed to process the power from two different sources Vg1 and Vg2. This converter facilitates regulation of dc-bus voltage and LVS current. In the power conversion process it performs bucking operation for first dc source Vg1, buck-boost operation for the second source Vg2. Power stage dynamics of the TIFOI converters is modeled using the state-space analysis. The system modelling plays an important role in …
Published in Journal of Control & Instrumentation Read article
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Continuous-Time Modelling of the Two-Input Fourth Order DC_DC Converter
Abstract: Two-input fourth-order integrated (TIFOI) converter is designed to process the power from two different sources Vg1 and Vg2. This converter facilitates regulation of dc-bus voltage and LVS current. In the power conversion process it performs bucking operation for first dc source Vg1, buck-boost operation for the second source Vg2. Power stage dynamics of the TIFOI converters is modeled using the state-space analysis. The system modelling plays an important role in …
Published in Journal of Control & Instrumentation · Vol. 12, Issue 3, 2021 · pp. 1–11 Read article
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Production of Glucose from Corn cobs using dilute sulfuric acid
Abstract: AbstractCorn cob, a waste residue of corn can be used as substrates for the production of reducing sugar (glucose). This research is aimed to study of the effect of acid concentration, time and temperature for a high yield of reducing sugar from Corn cob. A three-variable, three-level Box-Behnken design was used to develop a statistical model for the optimization of the process variables. The optimal hydrolysis situations that resulted in …
Published in Journal of Catalyst & Catalysis · Vol. 6, Issue 1, 2019 · pp. 21–27 Read article
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Real Time Implementation of Cascade Process using NI ELVIS in LabVIEW
Abstract: The main objective of this work is to enforce PID controller in a real time process, and to find out the best robust control settings for cascade process. In this work, process variable level is controlled in a cascade mode. Level and flow are considered as primary and secondary variable, respectively. Process models of flow and level are identified as First order plus dead time models. Validated model is used …
Published in Journal of Control & Instrumentation · Vol. 6, Issue 1, 2015 · pp. 37–43 Read article
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The Impact of High-Performance Computing on FEA and CFD Simulations
Abstract: The integration of advanced simulation techniques, such as Finite Element Analysis (FEA) and Computational Fluid Dynamics (CFD), has transformed mechanical design by enabling engineers to develop optimized, efficient, and reliable systems. FEA is widely applied to analyze structural mechanics, thermal stresses, and vibrations, offering detailed insights into material behavior and design performance. On the other hand, CFD focuses on simulating fluid flow, heat transfer, and aerodynamic performance, making it indispensable …
Published in Journal of Aerospace Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 26–35 Read article
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Optimizing Heat Dissipation: Analysis of Air Cooled Fins for Electronic Equipments
Abstract: This paper focuses on the thermal management of electronic components in modern technologies like RADAR electronics, UAV and Drone technologies,Automotive Electronic Components etc. The main objective of this research is to design and develop an efficient heat dissipation system, using fins, for an electronic component with dimensions of 80 x 300 mm, dissipating 30W heat. The process starts by calculating essential parameters for fin design, followed by modeling the fins …
Published in Recent Trends in Fluid Mechanics · Vol. 12, Issue 3, 2025 · pp. 26–50 Read article
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Particle Swarm Optimization based PID controller for Extrusion Process
Abstract: The process called extrusion was used for making objects of fixed cross-sectional profile by pushing or pulling the material through the die of the preferred cross-section. The extrusion process was a nonlinear process in which the quality of the product relies on various parameters such as temperature, extrusion speed, etc.; hence there should be a controller working in an optimized manner required to maintain these parameters properly suitable for the …
Published in Journal of Control & Instrumentation · Vol. 11, Issue 2, 2020 · pp. 10–16 Read article
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Advances in Lung Cancer Detection and Diagnosis: An Integrative Approach Using Computational Chemistry, Statistics, Bioinformatics, Artificial Intelligence, and Machine Learning
Abstract: Lung cancer is still one of the most common and lethal cancers globally, accounting for more than a million deaths each year. Prompt detection is important, and imaging techniques like chest X-rays, MRIs, PETs, CTs, and molecular imaging have become important tools. But still, even though all these techniques do not provide an accurate classification of the lesion, they have led to the development of computer-based high-resolution image analysis. Computer …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 2, 2026 Read article
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Data-Driven Material Design and Performance Improvement: Constructing Sustainable Polymer Nanocomposites Using Deep Learning
Abstract: In the formation of sustainable polymer nanocomposites, the effective material techniques are required to balance the mechanical qualities, environmental compatibility and processing efficiency. The optimization of polymer matrix, nanofiller loading, processing conditions and material properties is typically time consuming, resource intensive and highly dependent on trial-error methodology using standard experimental techniques. The present work provides a data-driven approach that combines deep learning with sustainable polymer nanocomposite design for predicting and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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AI-Driven Prediction of Square-Hole Laser Trepanning Performance in AA7075/15%SiC/15% Glass Fiber Hybrid Composites Using Taguchi–ANOVA and Deep Neural Networks
Abstract: Hybrid AA7075 composites reinforced with 15% silicon carbide (SiC) and 15% glass fiber were fabricated via the stir casting technique to improve machining and structural performance. The addition of dual reinforcements into the aluminum matrix was aimed at enhancing hardness, thermal stability, and surface quality during non-traditional drilling operations. Square-hole drilling was performed using a laser trepanning process, and the key responses—hole size accuracy, surface roughness, and taper angle—were systematically …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1932–1943 Read article
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The Convergence of AI and Composites - A Review Anchored in Patent Trends
Abstract: The integration of artificial intelligence (AI) and machine learning (ML) techniques is revolutionizing the design, analysis, and optimization of polymer (PC/FRP), metal (MC), and ceramic matrix composites (CC). Techniques such as artificial neural networks (ANN), deep learning (DL), genetic algorithms (GA), and physics-informed machine learning (PIML) are employed to enhance property estimation, process optimization, and predictive modeling. These AI-driven frameworks enable virtual testing, application-specific material design, and real-time decision-making, while …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 182–198 Read article
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Cross-layer Solutions in WSN Routing: A Review
Abstract: WSN is a less infrastructure wireless network which is embedded with large number of Sensor Nodes (SN). Its ad-hoc manner of device distribution allows it to monitor conditions under physical and environmental scenarios. Typically, SNs in WSN are installed in a specified geographical location to monitor required information. Due to SNs’ self-configuring ability, the exploitation of target is simpler. Though, its functioning is limited with factors such as energy efficiency, …
Published in International Journal of Wireless Security and Networks · Vol. 1, Issue 2, 2023 · pp. 26–36 Read article
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Architectural Evolution of RISC Processors: From Early Research Prototypes to Modern Industrial Implementations
Abstract: This paper surveys the architectural evolution of Reduced Instruction Set Computer (RISC) architectures from early research prototypes to modern industrial processors, tracing four decades of design refinement across academic, embedded, server, mobile, and open- hardware ecosystems. Core ISA principles, pipeline evolution, compiler–hardware co-design, and quantitative performance modeling are analyzed through four representative industrial implementations: MIPS 74K, SPARC T4, ARM Cortex-A72, and SiFive U74 (RISC-V). Each processor is examined in terms …
Published in Journal of VLSI Design Tools and Technology · Vol. 16, Issue 2, 2026 · pp. 29–39 Read article
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The Role of 3D Modeling in Additive Manufacturing: Advances and Applications
Abstract: By making it possible to create intricate, highly functional, and customized components for a range of industries, the combination of 3D modeling and additive manufacturing (AM) has completely changed contemporary production processes. With an emphasis on both the technological advancements in digital design and its real-world applications, this paper examines the critical role that 3D modeling plays in the success of additive manufacturing. 3D modeling, the cornerstone of additive manufacturing, …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 3, Issue 2, 2025 · pp. 16–21 Read article
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Implement Explainable Machine Learning to Improve Conductivity in Polymer-CNT Nanocomposites: Supporting Adaptive, Flexible, and Long-Lasting IoT Wrap-Around Electronics Applications
Abstract: The rapid growth of Internet of Things (IoT) technologies requires electronic components that are adaptable, lightweight, and durable, and that can continue to function well in diverse contexts and circumstances. Polymer–carbon nanotube (CNT) nanocomposites have become interesting choices for these kinds of uses because they are more flexible, conduct electricity better, and can be made to fit specific needs. However, improving conductivity in these heterogeneous systems remains a major challenge …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 238–254 Read article
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Study and Design of Reconfigurable Processor Peripherals using Xilinx Tools
Abstract: AbstractXilinx Platform Studio used in this paper to create a reconfigurable processor system. The Xilinx Embedded Development Kit (EDK) software allows mapping processor of a Microblaze plus several on-chip peripheral bus (OPB) peripherals. The EDK bridges the gap between Hardware (HW) and Software (SW), flows by providing a single HW/SW design environment. Xilinx ISE is to create a top-level design hierarchy. It extends a fully software architecture by generating and …
Published in Journal of Electronic Design Technology · Vol. 9, Issue 1, 2018 · pp. 17–23 Read article
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Microstructural Design and Functional Properties of Polycrystalline Materials
Abstract: Polycrystalline materials, composed of an aggregate of crystallites or grains, are foundational to modern engineering applications due to their versatile functional properties. The microstructural design—encompassing grain size, shape, orientation, phase distribution, and grain boundary characteristics—plays a pivotal role in determining mechanical, thermal, electrical, and magnetic behavior. This abstract explores the intricate relationship between microstructure and functionality, emphasizing how tailored processing techniques such as thermomechanical treatments, sintering, and additive manufacturing can …
Published in International Journal of Crystalline Materials · Vol. 2, Issue 2, 2025 · pp. 16–20 Read article