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1084 articles for “Performance Optimization”
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Polymer Matrix-Based High-Performance Thermoplastic Composites for Automotive Applications: Design, Characterization, and Interface Behavior
Abstract: The study emphasizes the role of high-performance thermoplastic polymer matrices such as PEEK, PPS, and PA6, selected for their superior thermal stability, mechanical strength, and recyclability in automotive environments. The expanded usage of electric vehicles (EVs) and self-driving transportation creates a demand for advanced materials which are weight-conscious yet high in strength relative to their weight, impact-resistant yet still being environmentally friendly. This study aims to create and define fiber-reinforced …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 216–237 Read article
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Drilling Parameters Optimization in LM6/B4C/Fly ash Hybrid Composites by Taguchi Technique
Abstract: Aluminium matrix composites (AMCs) are challenging to machine due to its abrasive characteristics. Because of the broad adoption of MMCs, it is vital to create sufficient equipment to facilitate efficient manufacturing. The current study utilizes signal-to-noise ratio (S/N) analysis to determine the ideal machining parameters for drilling AMC’s. The goal with this study is to investigate the effect of feed rate (FR), drill type (D), speed (SS), reinforcing material R …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 890–897 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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Comparative Study of Compressive and Flexural Strength of Concrete by Partial Replacement of Cement by Nano Silica Powder in M40 Grade Concrete
Abstract: Concrete, a fundamental building material, traditionally relies on cement as a primary binder. However, the environmental and economic challenges associated with cement production have driven the search for alternative materials that can partially replace cement while maintaining or enhancing concrete's performance. This study focuses on the effects of Nano Silica Powder as a partial substitute for cement in M40 grade concrete, an advanced solution aimed at reducing the carbon footprint …
Published in Journal of Construction Engineering, Technology & Management · Vol. 14, Issue 3, 2024 · pp. 18–25 Read article
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Evolution of Kinematic and Dynamic Design in Robotic Mechanisms: A Systematic Overview
Abstract: The field of robotics has experienced significant advancements in both kinematic and dynamic design, driven by the growing need for precision, adaptability, and autonomy in mechanical systems. Early robotic mechanisms were predominantly rigid and operated based on simple serial architectures, offering limited degrees of freedom and relying heavily on analytical formulations for motion planning and control. Over time, the demand for greater dexterity and operational versatility led to the development …
Published in Trends in Machine design · Vol. 12, Issue 2, 2025 · pp. 38–43 Read article
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The AI Revolution: Transforming Business Decision-Making
Abstract: Industries undergo a transformation thanks to artificial intelligence, which makes machines capable of activities that previously required human intelligence. This interdisciplinary field of computer science models human thought processes, impacting sectors from autonomous vehicles to creative AI tools. Integrating AI into business operations transforms decision-making and enhances corporate performance. AI-driven methodologies analyze vast datasets to provide valuable insights and facilitate decisions beyond human capability. Predictive modeling anticipates consumer behavior, market …
Published in Journal of Electronic Design Technology · Vol. 15, Issue 2, 2024 · pp. 25–32 Read article
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Role of Beowulf Clusters in Next-Generation Military Applications: A Comprehensive Study
Abstract: Beowulf clusters, which utilize cost-effective commodity hardware combined with open-source software for parallel computing, have emerged as a viable and efficient solution for high-performance computing needs. This paper explores their growing relevance and practical applications in modern and future military technologies. Contemporary military operations increasingly rely on rapid data processing, real-time intelligence, high-fidelity simulations, and autonomous decision-making systems. Beowulf clusters offer scalable and adaptable computational power that supports these demands …
Published in Journal of Advances in Shell Programming · Vol. 12, Issue 2, 2025 · pp. 01–07 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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Performance evaluation of MB plough with combination of different Tillage Implements
Abstract: This study evaluates the performance of tractor-drawn tillage implements in various combinations on clay loamy soil. The research aimed to assess performance parameters such as field capacity, efficiency, depth and width of cut, and energy requirements during seedbed preparation. The experiments were conducted on a 40 × 30 m² plot using multiple tillage combinations, including moldboard (MB) ploughing, MB ploughing combined with cultivating, MB ploughing followed by rotavating, single-pass rotavating, …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 1, 2025 · pp. 20–26 Read article
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Hybrid Epoxy Composites with Areca and Abaca Fibers: Effect of Nano-SiO₂ on Mechanical Properties
Abstract: This study explores the fabrication and mechanical evaluation of sustainable epoxy-based hybrid composites reinforced with Areca fiber (ARF), Abaca fiber (ABF), and nano-silica (SiO₂). The composites were made using a hand layup process, maked five variants (S1–S5) with ARF content ranging from 0–40 wt% and nano-silica content from 0–8 wt%, while maintaining ABF as the primary reinforcement. Mechanical performance was assessed through tensile strength (TS), flexural strength (FS), and impact …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 606–613 Read article
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Optimizing Microbial Consortia for Enhanced Biofuel Production: A Metabolic Engineering Approach
Abstract: Biofuels, derived from renewable biomass sources, offer a promising avenue for reducing greenhouse gas emissions and mitigating environmental impact. Among the various approaches to biofuel production, microbial fermentation using microbial consortia has gained significant attention due to its potential for enhancing efficiency and sustainability. Microbial consortia, consisting of diverse populations of microorganisms, exhibit synergistic interactions between different types of microbes that can improve substrate utilization and metabolic robustness compared to …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 14, Issue 1, 2024 · pp. 46–53 Read article
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Performance Assessment of External Source-Driven Binary Vapor Cycles with Ammonia-Water and Trans-critical CO2: The Impact of Reheating and Pressure Variations
Abstract: This paper investigates the thermodynamic performance of binary vapor cycles, focusing on two working fluid combinations—ammonia-water mixtures and trans-critical carbon dioxide (CO2). The analysis evaluates how system performance is influenced by incorporating reheating processes and varying operating pressures, which are key parameters in optimizing cycle efficiency and energy recovery. By leveraging external heat sources and exploring these configurations, the research aims to provide insights into improving the efficiency of industrial …
Published in Journal of Thermal Engineering and Applications · Vol. 12, Issue 1, 2025 · pp. 23–29 Read article
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Kinematic and Dynamic Modelling of a 6-DOF Robotic Manipulator for Industrial Applications
Abstract: The rapid evolution of industrial automation has intensified the need for highly accurate, flexible, and intelligent robotic systems capable of operating in dynamic and demanding environments. Among these systems, six-degree-of-freedom (6-DOF) robotic manipulators have emerged as a versatile solution due to their superior dexterity, large workspace, and human-arm-like motion capabilities. This research focuses on the comprehensive kinematic and dynamic modelling of a 6-DOF robotic manipulator designed for various industrial tasks …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 3, Issue 2, 2025 · pp. 27–32 Read article
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Assessment of Matrix Cracking and Fiber Breakage in Hybrid Composite Materials.
Abstract: Hybrid composite materials, combining two or more distinct fiber or matrix constituents, have emerged as advanced structural solutions for aerospace, automotive, marine, and civil engineering applications. However, their complex microstructure makes them susceptible to multiple interacting damage mechanisms, particularly matrix cracking and fiber breakage. This study provides a comprehensive assessment of these damage modes, emphasizing their initiation, evolution, and combined effects on the mechanical integrity of hybrid composites. Matrix cracking …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 3, Issue 2, 2025 · pp. 1–5 Read article
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Evaluation on the Mechanical Strength of TIG Welded 6061Aluminium Alloy Joints
Abstract: Aluminum alloy Al-6061 is extensively used in aerospace, automotive, and marine industries due to its excellent mechanical properties, lightweight nature, and corrosion resistance. However, welding this alloy presents challenges such as porosity, hot cracking, and strength reduction in the heat-affected zone (HAZ). Tungsten Inert Gas (TIG) welding, known for its precision and quality, is commonly employed for joining Al-6061. This study investigates the tensile strength of TIG-welded butt joints of …
Published in Trends in Machine design · Vol. 13, Issue 1, 2026 · pp. 34–39 Read article
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Virtual Machine Cost & Computing comparison between cloud service
Abstract: Cloud computing has revolutionized enterprise IT infrastructure with virtual machines forming the cornerstone of Infrastructure as a Service deployment. This study provides a detailed comparative evaluation of virtual machine pricing and computational performance among three leading cloud computing platforms: Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). Through quantitative analysis of current pricing data from September 2025, independent performance benchmarks from Cockroach Labs 2021 Report, and market …
Published in International Journal of Mobile Computing Technology · Vol. 4, Issue 2, 2026 Read article
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Comparative Performance Study: Deterministic vs. Probabilistic Models in Retail Chains
Abstract: The finished goods, raw materials, and product stock that a business has on hand for sale are referred to as inventory. They enable the companies to achieve their sales levels and are a chance to cost control and decision making. It is a huge asset to a manufacturing firm. Inventory model permits forecasting of quantities of raw material, inventory and spare parts of the equipment to a very high level …
Published in Recent Trends in Mathematics · Vol. 2, Issue 1, 2025 · pp. 1–6 Read article
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Hybridization Method for Injection Moulding Process, Optimization with Melting Temperature Parameters
Abstract: Due to the production of plastic products with complex shapes, the plastic injection moulding manufacturing method has recently received a lot of attention. In order to improve manufacturing performance, the cycle time for the injection moulding process has been reduced, the defect known as dimensional warpage that results from temperature differences inside the mould has been reduced, and the mechanical tensile strength of the material has been increased so that …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 337–345 Read article
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Optimizing Concrete Strength and Sustainability: Quarry Dust and Copper Slag Powder Additives
Abstract: This research investigates the potential of quarry dust and copper slag powder additives to enhance the strength and performance of concrete. Compressive strength tests were conducted on mortar cubes at 7 and 28 days to evaluate the effects of these additives. The results indicate significant improvements in compressive strength over time, with Mix A4 achieving a remarkable 43.42% increase in strength at 28 days. Other mixes also demonstrated substantial strength …
Published in Journal of Construction Engineering, Technology & Management · Vol. 14, Issue 1, 2024 · pp. 1–6 Read article
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Machine Learning-Assisted Design and Optimization of Lightweight Polymer Composites for IoT-Enabled Automotive Applications
Abstract: This study aims to develop an integrated machine learning and optimization framework for the intelligent design of lightweight polymer composites suited for IoT-enabled automotive applications. The goal is to enhance material performance while satisfying multiple design constraints such as mechanical strength, thermal stability, and process compatibility. A curated dataset of polymer composite formulations was used to train a Random Forest Regression (RFR) model capable of predicting tensile strength, thermal conductivity, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 12–27 Read article