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839 articles for “Processing optimization”
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Investigations on Anthocyanin and Its Regulatory Role
Abstract: Anthocyanin is the most widely studied and abundant group of natural pigments. It has been gaining increased attention for its potential health benefits. This vibrant, water-soluble pigment is found in fruits, vegetables, and flowers, and is responsible for the colors of many of the foods we eat. Anthocyanins are not only responsible for the aesthetic appeal of these foods, but they are also believed to have powerful antioxidant, anti-inflammatory, and …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 14, Issue 1, 2024 · pp. 32–37 Read article
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Super Ni 718 Machinability Investigation on Electrical Discharge Machining Using Hybrid Al 7(075+178) Electrode Under Abrasive Assisted Dielectric
Abstract: As aluminum alloy is the lightest metal and has the best mechanical qualities among metal, it has proven to be a perfect choice for strututal industry, particularly in the aerospace sector.7xxx alloys from the Al alloy family are widely used in aviation constructions due to their outstanding processing, welding efficiency, great specific strength & stiffness, and high toughness. The two aluminum alloys that are most frequently used in airplane structures …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 1–17 Read article
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Drug Design and Process Chemistry: Bridging the Gap between Discovery and Manufacturing
Abstract: This review explores how drug discovery connects with process chemistry to enable large- scale pharmaceutical manufacturing. While drug discovery identifies and optimizes therapeutic compounds, process chemistry adapts these compounds for mass production, addressing challenges in scalability, cost, and quality. The article examines the role of early collaboration between drug designers and process chemists, recent innovations in green chemistry and flow chemistry, and case studies that illustrate successful scale-up strategies. Emerging …
Published in Trends in Drug Delivery · Vol. 12, Issue 1, 2025 · pp. 09–21 Read article
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Edge Computing in IoT: Challenges and Opportunities for Engineers
Abstract: The internet of things (IoT) has revolutionized how we interact with our environment, collect data, and make decisions. However, the exponential growth of IoT devices has led to significant challenges in data processing, latency, and bandwidth usage. Edge computing provides an effective solution to these issues by bringing computation and data storage nearer to the source of data generation. This paper provides a comprehensive exploration of the challenges and opportunities …
Published in Journal of Communication Engineering & Systems · Vol. 14, Issue 3, 2024 · pp. 14–19 Read article
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Parametric optimization of residual stress of TiO2 composite coating
Abstract: The primary objective was to develop a composite coating by utilizing the HVOF thermal spray technique and including TiO2. The substrate was covered with a high-quality composite layer utilizing the HVOF coating process. The TiO2-based powder and carbon powder were initially combined in the mixer for deposition. The composite powders were applied via an HVOF torch, namely the PT F4 model. The firearm frequently produces a high-speed flow of extremely …
Published in Journal of Polymer & Composites · Vol. 12, Issue 2, 2024 · pp. 295–301 Read article
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Experimental Investigation and Optimization of Machining Parameters for Al6351 Alloy Using a Modified Taguchi Approach
Abstract: Machining processes encompass both conventional and non-conventional techniques and optimizing machining parameters is crucial for achieving high-quality outcomes. However, simplifying these processes remains a significant challenge. This study focuses on determining the optimal machining parameters—cutting speed, feed rate, and depth-of-cut to enhance performance characteristics in Al6351 alloy plates. The parameters evaluated include surface roughness (Ra), material removal rate (MRR), resultant forces (RF), and temperature at the tool- workpiece interface (Temp). …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1463–1481 Read article
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Practical Strategies to Mitigate Acidosis in Dairy Cattle: Implications of Nutritional, Genetic, and Management Practices
Abstract: Acidosis in dairy cattle remains a critical concern, adversely affecting rumen health, milk production, and overall animal welfare. This study investigates practical strategies to mitigate acidosis through integrated nutritional, genetic, and management approaches. Nutritional strategies emphasize balancing forage-to-concentrate ratios, providing adequate fiber, and utilizing feed additives such as buffers, probiotics, and yeast cultures to stabilize rumen pH. The importance of gradual dietary transitions and monitoring total mixed ration (TMR) composition …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 15, Issue 2, 2025 · pp. 27–44 Read article
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Topology Optimization of Press Tools for Additive Manufacturing: Reducing Manufacturing Time
Abstract: This research paper presents a topology optimization study of a press tool consisting of a punch and a die, with the aim of optimizing the press tool topology to reduce material usage, and manufacturing time while maintaining necessary strength. The tools will be manufactured using additive manufacturing technology with Polylactic Acid (PLA) material. The Additive Manufacturing method can be used to make prototypes of press tools in the development stages. …
Published in Journal of Polymer & Composites · Vol. 11, Issue 8, 2023 · pp. 40–56 Read article
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Strategic Optimization of CNC Machining in Production Systems: A Managerial Review of Methods, Metrics, and Industry 4.0 Integration
Abstract: Computer numerical control (CNC) machining has significantly influenced modern production systems by enabling higher efficiency, quality, and sustainability. As industrial operations strive for leaner production and strategic competitiveness, optimization of machining parameters—including cutting speed, feed rate, depth of cut, and tool path strategies—has emerged as a cornerstone of production planning. This review evaluates the optimization methodologies developed from 2015 to 2025, spanning traditional mathematical models to artificial intelligence (AI)-driven metaheuristic …
Published in Journal of Production Research & Management · Vol. 15, Issue 2, 2025 · pp. 25–30 Read article
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Role of Reinforcement Learning in Improvement of Semiconductor Doping
Abstract: The semiconductor industry faces increasing challenges in achieving optimal doping profiles as device dimensions shrink and performance requirements intensify. Traditional doping optimization methods, while effective, often struggle with the complex, multi-dimensional parameter spaces characteristic of modern semiconductor manufacturing. This study explores the transformative role of reinforcement learning (RL) in improving semiconductor doping processes, examining how RL algorithms can autonomously optimize doping parameters to enhance device performance, reduce manufacturing costs, and …
Published in Journal of Semiconductor Devices and Circuits · Vol. 12, Issue 2, 2025 · pp. 23–34 Read article
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A Study on Automatic Feedback Control by Image Processing for Mixing Solutions in a Microfluidic Device
Abstract: Precise and rapid mixing of chemical and biological reagents is a critical yet challenging aspect of microfluidic systems, often limited by laminar flow conditions and the need for manual or pre- programmed interventions. Existing mixing strategies frequently lack real-time adaptability and closed-loop control, hindering reproducibility and the execution of complex reaction protocols. This work presents an innovative automatic feedback control system utilizing the study on real- time image processing to …
Published in International Journal of Advanced Control and System Engineering · Vol. 3, Issue 2, 2025 · pp. 32–41 Read article
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Design Optimization of Linseed Thresher for Higher Efficiency
Abstract: Linseed, a valuable Rabi crop grown for both grain and fiber, has seen rising demand across industries, boosting interest in optimizing its production processes. Recognizing this, SVCAET and RS at IGKV Raipur conducted a study focused on improving the design and efficiency of linseed threshing technology. The research aimed to develop an optimized head cut type linseed thresher, addressing both design and performance factors. Three distinct prototypes were designed, varying …
Published in International Journal of Manufacturing and Production Engineering · Vol. 2, Issue 2, 2024 · pp. 24–32 Read article
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Harnessing Marine Byproducts and Optimization of Biopolymer Extraction Quality Using Response Surface Methodology and Study of Its Physicochemical Properties
Abstract: Chitosan, a versatile biopolymer derived from chitin, holds immense potential across various industries owing to its antimicrobial, antioxidant, and biocompatible properties. This study aims to optimize the deacetylation process of chitin, sourced from shrimp shells, using Response Surface Methodology (RSM) to produce high-quality chitosan. The Box-Behnken Design (BBD) was employed to evaluate the effects of temperature, time, and alkali concentration on the degree of deacetylation (DD%), a key determinant of …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 125–139 Read article
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Solar Light Photocatalytic Degradation of Methylene Blue and Methyl Orange Dyes by Ag-ZnO Nanocomposite
Abstract: A highly efficient silver-assisted ZnO nanocomposite was synthesized using the co-precipitation method, a technique that ensures a controlled and homogeneous formation of the composite material. The high purity of the synthesized nanocomposite was confirmed through detailed FTIR spectra analysis, which showed clear and distinct peaks corresponding to the functional groups present, indicating the absence of significant impurities. To evaluate the photocatalytic capabilities of the nanocomposite, a series of tests were …
Published in Journal of Polymer & Composites · Vol. 12, Issue 6, 2024 · pp. 160–171 Read article
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Novel Strategic Framework for AI-Driven Discovery and Development of Smart and Sustainable Polymers in Healthcare
Abstract: The development of new smart and sustainable polymers is emerging as a priority of new health care innovative development, but event before it may be actualized, the usual culprit is the delay and unproductive execution of the old-fashioned R&D efforts. The current paper proposes a strategic plan which will solve all these shortcomings and speed up the material discovery process by using Artificial Intelligence (AI) and Machine Learning (ML). The …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1535–1550 Read article
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The Contribution of A. I. in Pharmaceutical Software
Abstract: The integration of Artificial Intelligence (AI) in pharmaceutical software has significantly transformed drug development, regulatory processes, and clinical management. AI-powered tools are revolutionizing data analysis, predictive modeling, and decision-making, enhancing the efficiency and accuracy of drug discovery and development. This article explores the multifaceted contributions of AI to pharmaceutical software, including its applications in drug screening, personalized medicine, clinical trial optimization, and regulatory compliance. Additionally, we examine how AI is …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 3, Issue 1, 2025 · pp. 1–10 Read article
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Improvement of Geometric Tolerances and Mechanical Properties of Aluminum Hybrid Metal Matrix Composites
Abstract: In the field of metal matrix composite materials, there has been a generous thrust towards the development of electrical discharge machining (EDM). In this study, stir casted aluminum hybrid metal matrix composites were successfully machined using EDM by analyzing the input process parameters namely, pulse-on time, peak current, and gap voltage using L27 orthogonal array. The ideal conditions for various output responses such as material removal rate, circularity, and radial …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1583–1592 Read article
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Statistical Modeling of Heat Transfer and Fluid Dynamics: Application in Mechanical Engineering Design
Abstract: Understanding and optimizing the intricate processes involved in heat transfer and fluid dynamics—two concepts essential to mechanical engineering design—require statistical modeling. Engineers can forecast, regulate, and enhance the performance of systems including heat exchangers, turbines, cooling mechanisms, and different fluid machinery by using statistical approaches. In order to address uncertainties, variability in material properties, boundary conditions, and operational parameters, this work investigates the integration of statistical modeling tools in the …
Published in Research & Reviews : Journal of Statistics · Vol. 13, Issue 2, 2024 · pp. 18–22 Read article
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Nanoyeast Supported on Silica Gel for The Continuous Flow Bioethanol Production
Abstract: Nanomaterials outperform their bulk counterparts. Yet, production of nanomaterials, especially, nanoyeast is a challenge and is an upcoming field. Yeast is a fungal strain that consumes carbohydrates (glucose, sucrose, molasses and the like) and produces bioethanol, a potential transportation fuel. Impregnation methods are well known in catalysis to yield nanomaterials via better dispersion. An attempt has been made to modulate the size of yeast to increase the efficiency of carbohydrate …
Published in International Journal of Advance in Molecular Engineering · Vol. 2, Issue 1, 2024 · pp. 1–7 Read article
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Developed an Approach to Monitor the Technical Conditions of the Wheels by Measuring the Rolling Stock-track Forces
Abstract: With the rapid development of railway transportation, there is a growing need to improve the method of measuring the impact force exerted by rolling stock on the rail track. Monitoring the technical conditions of the rail track and wheels is crucial. This research aimed to investigate the improvement of existing systems for wheel monitoring during operation and propose a method to develop rolling stock diagnostic systems while the train is …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 1, Issue 1, 2023 · pp. 23–34 Read article