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62 articles for “Process Capability Indices”
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A Comprehensive Exploration of Method Validation and Development in Pharmaceutical Analysis: Focus on Vortioxetine Analysis
Abstract: The pharmaceutical industry relies on rigorous method validation to ensure the accuracy, precision, and reliability of analytical techniques employed in drug testing and quality control. This comprehensive exploration delves into the validation parameters and guidelines essential for method validation, emphasizing accuracy, precision, linearity, detection and quantitation limits, specificity, range, robustness, and ruggedness. Validation plays a pivotal role in guaranteeing high-quality products, adhering to good manufacturing practices (GMP), and optimizing manufacturing …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 11, Issue 1, 2024 · pp. 46–52 Read article
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Analysis of Ageing and Degradation Behavior of Polyamide-12 for Sustainable Additive Manufacturing
Abstract: Additive Manufacturing (AM), particularly High-Speed Sintering (HSS), has emerged as a transformative technology capable of producing complex thermoplastic parts with high efficiency and minimal material waste. The HSS process involves selective deposition of radiation-absorbing ink followed by infrared heating to consolidate polymer powders-most commonly polyamide-12 (PA12). While PA12 is widely used due to its excellent thermal stability and mechanical properties, the sustainability of HSS strongly depends on the reuse of …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 136–154 Read article
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Machine Learning Based Optimization of Polymer Structure Property Relationships in Composite Material Systems
Abstract: In modern engineering applications, polymer-based composite materials have garnered a lot of attention because of their lightweight nature, high strength-to-weight ratio, and changing physical features. In order to maximize the relationships between polymer structure and properties in composite materials, this study suggests a strategy based on reinforcement learning (RL). The research utilized the Polymer Composite Properties Dataset, which contains 12,700 records associated with polymer matrices, reinforcement fillers, interfacial bonding characteristics, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 242–255 Read article
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AL6061/Al2O3-Ash Reinforced Composites: An Experimental and Statistical Study Using Ultrasonic Stir Casting
Abstract: This study presents an experimental investigation on the influence of fly ash particle size on the mechanical properties of aluminum alloy (Al6061) composites fabricated through Ultrasonic Assisted Stir Casting. Fly ash, a low-cost and low-density by-product of thermal power plants, has emerged as an effective reinforcement material due to its excellent fluidity, high filling capability, and ease of processing. It has been increasingly utilized in metal, polymer, and rubber composites …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 1123–1133 Read article
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Thermo-Mechanical and Electrical Properties of Multi-Walled Carbon Nanotube-Enhanced Polyimide Composites for Aerospace Thermal Protection Systems
Abstract: Advanced aerospace thermal protection systems (TPS) require multifunctional materials that simultaneously provide high thermal stability, mechanical strength, and reliable electrical performance. Polyimide (PI) is widely used in aerospace structures due to its lightweight design and exceptional thermal durability, yet its low thermal conductivity and insulating behavior limit its effectiveness in heat dissipation and electromagnetic interference (EMI) shielding applications. This study addresses these limitations by developing multi-walled carbon nanotube (MWCNT)-reinforced polyimide …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 966–982 Read article
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Parametric Investigations of Melt Flow Index for Nylon6-Mica Composite Based Hybrid FDM Filament
Abstract: The development of new hybrid filaments with improved mechanical and thermal properties has been driven by the increasing need for high-performance materials in additive manufacturing. This study explores the parametric investigations of the Melt Flow Index (MFI) for Nylon6-Mica composite-based hybrid Fused Deposition Modeling (FDM) filament. The investigation uses the Taguchi technique to examine how different extrusion temperatures, loads and the percentage of Mica filler affect the MFI, a critical …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 165–173 Read article
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Multifunctional Lignin-Modified Jute/Bio-Epoxy Composites with MWCNT-Based Piezoresistive Self-Sensing for Sustainable Housing Applications
Abstract: This study develops a multifunctional natural-fibre-reinforced polymer composite based on alkali-treated jute fabric, bio-based epoxy, kraft lignin and a small amount of multiwalled carbon nanotubes (MWCNTs), with particular emphasis on polymer-matrix modification, fibre–matrix interfacial behaviour and intrinsic damage sensing. Kraft lignin was incorporated at 0, 2, 4 and 6 wt.% to examine its influence on polymer-chain mobility, interfacial morphology, thermal stability and mechanical response, while 0.5 wt.% MWCNTs was introduced …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
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Understanding Sentiment Trends Through Zero-Shot and Few-Shot Learning Models
Abstract: The requirement for large, manually labeled datasets is one of the main barriers to applying sentiment analysis algorithms in specialized or rapidly evolving disciplines in the present natural language processing (NLP) landscape. This work investigates a paradigm shift from traditional fully supervised learning to data-efficient methods, specifically zero-shot learning (ZSL) and few-shot learning (FSL). This study uses the advanced capabilities of instruction-tuned large language models (LLMs), like GPT-4, to assess …
Published in International Journal of Computer Science Languages · Vol. 4, Issue 1, 2026 · pp. 01–08 Read article
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Nanostructure-Induced Thermoelectric Enhancement in Bi₂Te₃ Nanorods Design, Analysis, and Performance Evaluation
Abstract: Thermoelectric materials capable of efficient energy conversion near room temperature are critical for waste heat recovery applications. In this work, solution-grown Bi₂Te₃ nanorods were synthesized via a trioctylphosphine-assisted thermal decomposition route, and the influence of surfactant-induced nanostructuring on their thermoelectric properties was systematically investigated. Structural analysis using X-ray diffraction and Rietveld refinement confirmed the formation of rhombohedral Bi₂Te₃ with the emergence of Bi₂Te₃–BiTe nanocomposites at higher surfactant concentrations. Electron microscopy …
Published in International Journal of Energy and Thermal Applications · Vol. 4, Issue 1, 2026 · pp. 34–44 Read article
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Nanostructure-Induced Thermoelectric Enhancement in Bi2Te3 Nanorod Design, Analysis, and Performance Evaluation
Abstract: Thermoelectric materials capable of efficient energy conversion near room temperature are critical for waste heat recovery applications. In this work, solution-grown Bi2Te3 nanorods were synthesized via a trioctylphosphine-assisted thermal decomposition route, and the influence of surfactant-induced nanostructuring on their thermoelectric properties was systematically investigated. Structural analysis using X-ray diffraction and Rietveld refinement confirmed the formation of rhombohedral Bi2Te3 with the emergence of Bi2Te3–BiTe nanocomposites at higher surfactant concentrations. Electron microscopy …
Published in Research & Reviews : Journal of Physics · Vol. 15, Issue 2, 2026 · pp. 26–37 Read article
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AI-News 4.0: Most Suitable LLM for UPSC Aspirants
Abstract: In recent years, the domain of interactive artificial intelligence (AI) has experienced a significant surge with large language models (LLMs) at the forefront of this evolution. AI systems, including those based on the GPT-3.5 framework, have been engineered to address various tasks such as responding to intricate inquiries, participating in conversations, and executing sophisticated natural language processing (NLP) operations. A prominent LLM, known for its adaptability, prompts an essential inquiry: …
Published in International Journal of Computer Science Languages · Vol. 2, Issue 2, 2024 · pp. 47–53 Read article
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The Effects of Dissolved Sodium Chloride (NaCl) on Well Injectivity during CO2 Storage into Saline Aquifers
Abstract: Among different options proposed for carbon dioxide (CO2) storage and sequestration, saline formations seem promising due to their wide availability and potentially large storage capability. As supercritical (SC) CO2 is injected into the formation, a variety of coupled processes takes place. Halite precipitation requires particular interest due to its potentially significant impact on permeability impairment, and thus reduction of injectivity in the near well bore region. The selected candidate for …
Published in Journal of Petroleum Engineering & Technology · Vol. 6, Issue 2, 2016 · pp. 11–22 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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Quality Control Study for Piston Rings: A Case Study
Abstract: The manufacturing consideration in the contact shaped by the piston ring has attracted plenty of attention over many decades, not least indicated by the huge no. of articles published on this topic in recent years.The modern manifesting concept is more like a protective kind and addresses the need for a manufacturing organization to produce efficiently and effectively. Today's manufacturing id highly challenging and it tests an organization's ability to perform …
Published in Journal of Production Research & Management · Vol. 12, Issue 3, 2022 · pp. 1–8 Read article
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A Hybrid Multi-Physics Ensemble Deep Learning Framework for Simultaneous Prediction of Thermal and Electrical Conductivity in Functional Polymer-Based Nanocomposites
Abstract: Polymer-based nanocomposites have become promising materials for applications in energy storage, flexible electronics, biomedical devices, aerospace components, and advanced engineering because of their tunable thermal and electrical properties. Reliable prediction of these properties is essential for accelerating material design; however, existing analytical models and conventional machine learning techniques often fail to represent the complex interactions among filler characteristics, polymer matrices, processing conditions, and interfacial transport phenomena. This work presents HMEP-Net, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1062–1082 Read article
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IoT-Based Structural Health Monitoring and Damage Detection in Fiber Reinforced Polymer Composite Structures
Abstract: Applications of fiber-reinforced polymer (FRP) composite in the aerospace, civil infrastructure and renewable energy systems are increasing due to the fact that the composite possesses high ratio of strength to weight and can resist corrosion. However, processes of internal damages such as the cracking of the matrix, delamination and fiber fracture, are likely to take place without being visible on the surface and therefore a periodic check of the structure …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1076–1100 Read article
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AI and ML in the Chemical Industry: A Review of Transformative Applications and Future Prospects
Abstract: The chemical industry, a key growth indicator of the global manufacturing ecosystem, is experiencing a digital transformation driven mainly by advancements in Artificial Intelligence (AI) and Machine Learning (ML) in this sector. These technologies are totally revolutionizing current and traditional methodologies by significantly improving process efficiency, reducing costs of manufacturing, accelerating R&D, and improving safety and sustainability standards. Proper utilization of Artificial intelligence (AI) and machine learning (ML) in chemical …
Published in International Journal of Cheminformatics · Vol. 3, Issue 2, 2025 · pp. 1–6 Read article
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Thermo–Electrical Performance Enhancement of a Lightweight Polymer–Metal Hybrid Electrostatic Precipitator Using Epoxy-Based Composite Housing for Industrial Particulate Control
Abstract: Airborne particulate emissions, particularly PM₁₀ and PM₂.₅ produced by industrial activities and combustion processes, they continue to pose a significant threat to both the environment and public health. Electrostatic precipitators (ESPs) are widely recognized for their ability to achieve high collection efficiencies; however, conventional metallic constructions often lead to increased system weight, higher fabrication costs, and long-term corrosion-related challenges. In this study, a lightweight hybrid material approach is proposed by …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 652–668 Read article
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Smart Polymer Composite Scaffolds for Tissue Engineering with Integrated Machine Learning Feedback
Abstract: Another potential solution to improving the results of tissue engineering is smart polymer composite scaffolds, which are capable of dynamic adaptation to changing biological factors, but typical scaffolds cannot change dynamically. This paper suggests a comprehensive system to integrate biodegradable polymer composite scaffolds with sensing and machine learning-based feedback to allow the real-time monitoring and active regulation of tissue regeneration events. The system uses biocompatible materials of PLA/PCL composite of …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Assessment of Differential Global Positioning System (DGPS Technology for Generating Accurate Topographic Maps and Controls: A Case Study of Farin-Lamba to Kwali College Area"
Abstract: This study investigates the application of Differential Global Positioning System (DGPS) for topographic mapping and control point establishment in Farin-Lamba to Kwali College Area. The second order Survey controls extension are critical indices for ensuring structural and border control mechanisms in environmental development projects. However, creating these controls using traditional ways presents major obstacles. Most modern techniques are improvements on ancient approaches, which raises the possibility of environmental dangers and …
Published in International Journal of Land · Vol. 2, Issue 1, 2025 · pp. 11–23 Read article