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13 articles for “Pipe manufacturing”
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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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Catalyst-Driven Degradation and Failure Analysis of Intergranular Cracking in 316H Studded Pipes under Refinery Heat Recovery Conditions
Abstract: A failure analysis investigation was carried out on a high-temperature studded pipe used in a convection module for heat recovery in an oil and gas refinery application after leakage was detected during pre-commissioning hydrotesting. The investigated pipe was manufactured from AISI 316H austenitic stainless steel, and carbon steel studs had been joined to its outer surface by high-frequency resistance welding. Two leaks were reported in the pipe under investigation, and …
Published in Journal of Catalyst & Catalysis · Vol. 13, Issue 1, 2026 Read article
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Failure Analyses of 16 mm Thick SA 516 GR 70 Auto Clave
Abstract: With the acceleration of global industrialization, there is a demand for high-or low-pressure storage of liquids or gases. Because of the complicated operating conditions that will inevitably encounter a possible hazard, pressure vessel design is a critical responsibility. Previous failure studies have revealed that the presence of local loads and discontinuities increases pressure vessel fracture. As a result, a detailed examination of pressure vessel steel from the standpoint of fracture …
Published in Trends in Mechanical Engineering & Technology Read article
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Design and Development of Pipe Bending Machine
Abstract: The design and development of a pipe bending machine are crucial for various industrial applications, including the construction, automotive, and manufacturing sectors. Bending is a fundamental metalworking process that involves deforming pipes, tubes, square hollows, and rods without compromising their structural integrity. This study focuses on designing a cost-effective and efficient pipe bending machine that can accommodate different pipe sizes and materials. The key design considerations include selecting an appropriate …
Published in International Journal of Manufacturing and Production Engineering · Vol. 3, Issue 1, 2025 · pp. 22–30 Read article
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Modified Oil Bitumen with Polymer Waste for Oil Pipeline Application from Bitu
Abstract: Protection of oil refining, oil production and gas pipeline equipment from corrosion is the most important problem today. Currently, anticorrosive materials are mainly used, resistant polymer compositions, epoxy resin, bitumen and other materials for coating metal parts of these equipment. But these anticorrosive materials do not always provide metals from corrosion at the metal-antioxidant boundary and do not provide high strength of the protective layer, so these anticorrosive materials do …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 101–109 Read article
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Blockchain Enabled IoT System for Tamper Proof Monitoring of Polymer Composite Manufacturing Quality
Abstract: Ensuring real-time process compliance in resin-based polymer composite manufacturing remains a persistent challenge due to non-linear material behaviors, unpredictable curing dynamics, and fragmented sensor data pipelines. Traditional centralized monitoring architectures struggle to guarantee data integrity, auditability, and adaptive response under high-frequency environmental fluctuations. Most existing frameworks fall short in unifying trust, traceability, and time-critical decision-making particularly during critical cure-phase deviations due to limited integration of blockchain with intelligent sensor systems. …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 126–145 Read article
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Hybrid Quantum–Machine Learning Framework for Nonlinear Rheological Modeling of Polymer and Composite Materials
Abstract: In polymer and composite materials, a major challenge lies in predicting their nonlinear rheological response, owing to complex multiscale interactions that are not captured by traditional constitutive laws or conventional machine learning approaches. In this study, a hybrid Quantum Machine Learning (QML) model comprising Quantum Support Vector Machine (QSVM) and Quantum Neural Network (QNN) architectures is proposed for viscosity prediction without requiring any specific rheological equation. To train and test …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
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ML-Driven Defect Detection in Additive Manufacturing of Polymer Composites Using Thermal Imaging
Abstract: Polymer-based flexible biosensors have emerged as a pivotal technology in continuous health monitoring, yet their deployment in real-world settings is often hindered by undetected micro-defects and signal distortion caused during fabrication or usage. Existing diagnostic frameworks typically rely on post-hoc processing or bulky instrumentation, failing to offer scalable, real-time detection during additive manufacturing workflows. This study introduces an end-to-end, thermographic imaging-integrated framework for in-situ defect identification during the additive manufacturing …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 201–215 Read article
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AI-Driven Topology Optimization of Woven Fiber-Reinforced Composite Chassis Structures for Electric Vehicles Under Crash Loading
Abstract: The structural design of an electric vehicle (EV) chassis represents a unique engineering challenge to achieve minimal weight while meeting occupants' safety requirements during high-energy crash conditions without compromise to the battery housing's integrity or the geometrical constraints of the electric powertrain package. In this paper, a single framework is proposed to integrate physics-based artificial intelligence (AI) surrogate models using PINNs, CNN-accelerated topology optimization, and FEA to design woven fiber-reinforced …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 72–89 Read article
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Machine Learning Optimization for VARTM Carbon Polymer Laminates
Abstract: Vacuum-assisted resin transfer moulding (VARTM) is a key low-cost, out-of-autoclave process for manufacturing large-scale carbon-fibre reinforced polymer (CFRP) laminates crucial to aerospace wings, wind-turbine blades, marine hulls, and automotive structures. Unpredictable resin flow often leads to voids, dry spots, and race-tracking defects, resulting in 27.9% scrap rates and lengthy, costly trial-and-error design cycles. Although surrogate models provide rapid impregnation predictions for simple flat-plate geometries, vision-based monitoring is limited to idealized …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 229–245 Read article
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Enhancing Engine Efficiency and Reducing Emissions: A Comprehensive Review of Air Calorimeter Technology
Abstract: The article talks about the idea behind this project to pre-heat the intake air that passes through the carburettor to increase a petrol engine's fuel efficiency. The vaporization of petrol in the carburettor is influenced by the humidity of the surrounding air. Therefore, vaporization can be facilitated, and full combustion can be accomplished by preheating the carburettor's incoming air for a significant amount of time. Additionally, by lowering the amount …
Published in Journal of Aerospace Engineering & Technology · Vol. 15, Issue 1, 2025 · pp. 8–13 Read article
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Wear and Tribological Characteristics of Novel Metal Matrix Composites
Abstract: The development of advanced metal matrix composites (MMCs) with enhanced tribological performance has become increasingly important due to the premature failure of critical engineering components operating under severe wear conditions in automotive, aerospace, marine, defense, and power generation systems. Conventional composites such as Copper–Alumina and Aluminium–Silicon Carbide have demonstrated improved mechanical and wear characteristics; however, their widespread application is often limited by issues including particle agglomeration, non-uniform reinforcement distribution, porosity …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1326–1346 Read article
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Machine Learning-Driven Polymer Composite Smart Skin for Integrated Sensing in Soft Robotic Systems
Abstract: Soft robotics has grown rapidly, but its progress is still constrained by the limitations of current sensing skins. Most polymer-based sensors provide either flexibility or sensitivity, yet they struggle to deliver real-time communication and adaptive intelligence when deployed in complex robotic environments. This disconnect between material performance and system-level responsiveness forms a critical bottleneck for practical deployment. Existing approaches often treat tactile sensing and wireless communication as separate problems. As …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 121–136 Read article