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1662 articles for “process improvement”
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Heterogeneous Catalysis in Industrial Applications: A Review
Abstract: In many industrial processes, heterogeneous catalysis is essential because it improves reaction speeds and selectivity and makes catalyst recovery and reuse possible. This review explores the fundamental principles and diverse applications of heterogeneous catalysis in industry, with a focus on its economic and environmental benefits. We examine the structure and function of various catalysts, including metals, oxides, and zeolites, and their application in key industrial processes such as petrochemical refining, …
Published in Journal of Catalyst & Catalysis · Vol. 10, Issue 3, 2023 · pp. 17–23 Read article
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Advanced Processing Technologies and Material Properties of Ceramic-Matrix Composites for Structural and Industrial Applications
Abstract: Ceramic-matrix composites (CMCs) are becoming more popular as building and industrial materials because they have a unique set of qualities, such as being able to withstand high temperatures and being light and strong. This brief talks about the newest improvements in processing methods and material features that have put CMCs at the top of the list of industrial materials. Using advanced processing methods like chemical vapor infiltration (CVI), polymer infiltration …
Published in Journal of Polymer & Composites · Vol. 12, Issue 6, 2024 · pp. 138–151 Read article
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Lead Time Reduction in Pipe Manufacturing: An Application of Value Stream Maps and 5S
Abstract: The pipe manufacturing industry has a considerable effect on the economic growth of a country. In this competitive scenario, manufacturing industries receive immense pressure for providing high-quality products at affordable cost, and on-time delivery. This paper aims to reduce lead times in a small-scale pipe industry plant by the application of the Value Stream Mapping (VSM) technique. The products of the plant are Resin Polyvinyl Chloride (RPVC) pipes, RPVC suction …
Published in Journal of Polymer & Composites Read article
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Artificial Intelligence in Pharmacovigilance: Improving Drug Safety
Abstract: Artificial intelligence (AI) is revolutionizing pharmacovigilance (PV) by enhancing the detection, assessment, and prevention of adverse drug reactions (ADRs). This review examines how AI technologies – such as machine learning (ML), natural language processing (NLP), and big data analytics – tackle existing challenges in pharmacovigilance (PV), including issues like underreporting, large data volumes, and inefficiencies in data processing. AI improves drug safety by automating data collection, enabling real-time adverse event …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 1, 2025 · pp. 1–16 Read article
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Prospects of Microwave Energy for Coal Processing
Abstract: Microwave technology has gained worldwide acceptance as a novel method for heating, sintering and phase transformation of minerals and materials, as it offers specific advantages in terms of speed, energy/power efficiency, process simplicity, improved properties and produces the finer microstructures and lower environmental hazards. This paper shows the various prospects about the application of microwave energy in coal processing and utilization. This paper also summarizes about the detail microwave heating …
Published in Journal of Microwave Engineering and Technologies · Vol. 2, Issue 1, 2015 · pp. 37–42 Read article
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Automation and Robotics for Quality Control in Manufacturing: A Review of Technologies and Applications
Abstract: Automation and robotics technologies have rapidly evolved, transforming modern manufacturing processes by improving productivity, quality, and operational efficiency. This review examines key advancements such as cloud robotics, machine vision, Industry 4.0 robotics, Building Information Modeling (BIM) combined with Computer Numerical Control (CNC), joystick-controlled automation, and intelligent manufacturing systems. These technologies utilize artificial intelligence (AI), machine learning (ML), digital twins, collaborative robots, programmable logic controllers (PLCs), and cyber-physical systems (CPS) to …
Published in Journal of Mechatronics and Automation · Vol. 12, Issue 3, 2025 · pp. 36–48 Read article
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Correlation Between XRD Analysis and Mechanical Characterization Using Lens Manufactured Specimens Based on IoT Sensors
Abstract: The advent of the Internet of Things (IoT) has enabled the seamless integration of sensors into the manufacturing process, facilitating the collection of real-time data for analysis and optimization. The correlation between X-ray diffraction (XRD) analysis and mechanical characterization is investigated using specimens manufactured through the Laser Engineered Net Shaping (LENS) technique. The study focuses on three different materials: brass, SS202, and SS304. XRD analysis is employed to determine the …
Published in Journal of Polymer & Composites · Vol. 12, Issue 2, 2024 · pp. 41–58 Read article
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Biquid Filter Based Equalization Through Plastic Optical Fiber
Abstract: Plastic Optical Fiber (POF) is increasingly recognized for its advantages in high-speed data transmission, particularly over short distances. Unlike traditional glass optical fiber, POF uses a polymethyl methacrylate (PMMA) core with a fluorinated polymer cladding, resulting in a larger core diameter that simplifies alignment and splicing. Recent advancements include the development of graded-index POF (GI-POF), where the core's refractive index gradually decreases from the center outward, minimizing modal dispersion and …
Published in Journal of Microelectronics and Solid State Devices · Vol. 11, Issue 2, 2024 Read article
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Value Addition to Odisha's Bauxite Reserves: Developing Sustainable Alumina Production Technologies
Abstract: Odisha, home to one of the largest bauxite reserves in India, is a critical hub for the country’s aluminium industry. The extraction and processing of bauxite into alumina, however, pose significant environmental challenges, necessitating the adoption of sustainable technologies. With growing global emphasis on green practices and stringent environmental regulations, the alumina industry must innovate to balance economic growth with ecological responsibility. This study explores the latest advancements in sustainable …
Published in Journal of Thermal Engineering and Applications · Vol. 12, Issue 3, 2025 · pp. 30–36 Read article
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Advanced AI based Energy Monitoring and Demand Prediction with Theft Detection
Abstract: This paper presents a study on an AI-based energy management system, which is designed for real-time monitoring of energy consumption for theft detection and energy demand prediction. Our energy management system has voltage and current sensors for energy consumption measurement and provides real- time data on voltage (V), current (mA), and energy units. We have implemented Machine Learning algorithm SVM to improve the process of theft detection by identifying anomalies …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 17, Issue 1, 2026 · pp. 1–8 Read article
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Multiscale Catalytic Strategies for Sustainable Chemical Production: Integrating Computational Catalysis, Process Technology and Biocatalytic Transformations
Abstract: The transition toward sustainable chemical manufacturing requires catalytic technologies capable of maximizing resource efficiency, minimizing greenhouse gas emissions, and enabling the utilization of renewable feedstocks. Recent advances in computational catalysis, process technology, and biocatalytic transformations have created opportunities for the development of integrated catalytic platforms spanning molecular, reactor, and process scales. Density functional theory (DFT), machine learning-assisted catalyst discovery, and multiscale modeling have accelerated the rational design of heterogeneous, homogeneous, …
Published in Journal of Catalyst & Catalysis · Vol. 13, Issue 2, 2026 · pp. 27–35 Read article
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Optimization of Process Parameters in EDM
Abstract: Extensive research has been done till date to improve the performance of electrical discharge machining (EDM). In the past few years, the Taguchi method has played an important role in the optimization of process parameters. However, many of the studies have focused on static or single-quality characteristics such as smaller-is-better, larger-is-better, and nominal-is-best. The Taguchi method is best suitable for relative analysis. The prime drawback here to mention is that …
Published in Journal of Mechatronics and Automation · Vol. 8, Issue 2, 2021 · pp. 21–28 Read article
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Drip Irrigation Pipe Manufacturing Process and Defects in It- A Review
Abstract: In the development phase of drip pipe, conventional procedures for pipe extrusion line setup process were based on tryouts and then decisions to change the process parameters were made to minimize the errors occurring in pipe extrusion process of drip pipe. Every line setup needed the same methodology and hence loss of valuable time and material scrap. The variation of raw material supplies is also considered in this optimization process. …
Published in Journal of Mechatronics and Automation · Vol. 5, Issue 1, 2018 · pp. 38–48 Read article
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Automation in Waste Management: How AI and Robotics Transforming Waste Sorting and Recycling
Abstract: Waste management is a big issue in the modern world, and it gets worse as urbanisation and industry increase. Hazards to the environment and human health result from traditional waste management practices' inability to effectively classify, recycle, and dispose of garbage. Robotics and artificial intelligence (AI) provide creative ways to improve trash processing, sorting, and collection. This article examines the application of robotics and artificial intelligence (AI) to waste management, …
Published in International Journal of Advanced Control and System Engineering · Vol. 3, Issue 1, 2025 · pp. 1–7 Read article
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Physics-Informed Generative and Tensor-Based Framework for DNA Sequence Simulation and Genomic Structure Discovery
Abstract: In this paper, we explore the intersection of artificial intelligence (AI) and mathematical physics to propose advanced methods for DNA sequence generation and analysis. Specifically, we investigate how physics-informed Generative Adversarial Networks (GANs) and tensor network representations can be harnessed to restructure DNA for applications in genetic science. The proposed methodology offers a unique integration of concepts of thermodynamic modeling with innovative GAN architecture in order to allow the creation …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 2, 2026 Read article
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Experimental Investigation on Machining of AISI 1045 Stainless Steel by using Cryogenic Cooling of Micro EDM Drilling Process
Abstract: In this experimental work, the cryogenic cooling of the Micro-EDM (µEDM) drilling process for improving the performance and quality of micro holes. The controllable parameters such as the current (Ip), pulse on time (Ton), Pulse off time (Toff) and gap voltage (Vg) were chosen for further investigation. The Taguchi L27 orthogonal array is preferred to achieve the best experimental runs. Case hardened AISI 1045 stainless steel is selected to perform …
Published in Journal of Materials & Metallurgical Engineering · Vol. 10, Issue 2, 2020 · pp. 21–37 Read article
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Investigation and Optimization of Resistance Spot Welding Parameters for Stainless Steel
Abstract: The present work examines the significant impact of resistance spot welding (RSW) process parameters on the properties and efficacy of connections created in sheets of 316L stainless steel. This study examines the intricate relationship between welding parameters, investigating their influence on the microstructure, mechanical characteristics, and overall efficacy of welded connections. By employing a methodical experimental methodology, this study thoroughly investigates the impact of different factors in resistance spot welding …
Published in Journal of Thermal Engineering and Applications · Vol. 12, Issue 3, 2025 · pp. 15–21 Read article
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Enhancing Process Safety Management in the Wellestablished Steel Industry: A Holistic Approach to Thorough Hazard Identification, Rigorous Risk Assessment, and Safety Improvement
Abstract: In order for any industry to achieve success, it is crucial to identify hazards, assess associated risks, and mitigate them to an acceptable level. Due to the inherent nature of operations and the complexity of systems, procedures, and methods, industrial activities inherently involve certain levels of hazards. Hazard analysis plays a pivotal role in identifying potential undesirable events that can lead to hazards, analyzing the mechanisms by which these events …
Published in Journal of Industrial Safety Engineering · Vol. 10, Issue 2, 2023 · pp. 26–32 Read article
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IP Transcendence: Unifying IPv6 Over IPv4 Network
Abstract: Dynamic routing also called adaptive routing like traditional glass optical fiber, POF uses a polymethyl methacrylate (PMMA) core with a fluorinated polymer cladding, resulting in a larger core diameter that simplifies alignment and splicing. POF's adaptability is one of its main benefits. Because of their fragility and stiffness, ordinary glass fibers would not be practicable in certain situations where POF can be put. POF is a great option for intricate …
Published in International Journal of Electrical Power and Machine Systems · Vol. 2, Issue 1, 2024 · pp. 36–42 Read article
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Design and Analysis of Onion Sorting Machine
Abstract: Agriculture is the backbone of many economies as it employs the majority of the population directly or indirectly. In past years, new cropping patterns have evolved, developed, and been introduced in order to change the economic status of the farming community. Agriculture is crucial to India’s economic development. Any agricultural product must be graded by size in order to be properly priced. Today, we are considering various methods and measures …
Published in Trends in Machine design · Vol. 9, Issue 1, 2022 · pp. 26–32 Read article