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Advanced Manufacturing
Scopus
ISSN 2959-3263 · ELSPublishing · 35 artikel di indeks
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Artikel Jurnal Teks lengkap
Laser additive manufacturing of metallic lattice structures: material-structure-property concept, and future perspective
Metallic lattice structures have emerged as revolutionary lightweight materials with exceptional specific strength and multifunctional capabilities, particularly in aerospace applications. This review comprehensively examines the state of the art in laser additive manufacturing (LAM) of metallic…
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Integrating Future Factory-to-Factory (F2F) Manufacturing through System of Systems Engineering (SoSE): a framework for capability beyond constituent systems
System of Systems Engineering (SoSE) is an emerging discipline focused on the design, integration, and evolution of metasystems—composed of multiple autonomous yet interdependent systems. These systems of systems (SoS) offer capabilities that exceed those of any individual constituent systems by…
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Casting of complex open cellular structures using high manganese steel
High manganese steels offer an excellent combination of high strength and good ductility, making them ideal for lightweight and energy absorbing applications such as open cellular structures. Additive manufacturing is often used to produce metallic open cellular structures since it allows a high…
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Transforming machining waste into functional SS316 foams through inert-atmosphere microwave sintering intended for crash boxes and improving crashworthiness of vehicles
The rate of recycling and scrap recovery is poised to rise significantly in the near future, reflecting a strategic commitment to long-term environmental and sustainable manufacturing practices. Advancing circular economy goals in line with UN SDG-12 requires innovative strategies, such as reusing…
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Effect of WC content on microstructure and properties of Ni60/WC composite coatings for railway couplers
Due to corrosion erosion and mechanical wear, the coupler connecting surface needs to be frequently polished and repaired. In order to avoid the fact that the fit clearance of the connecting surface gradually exceeds the design standard limit due to multiple maintenance, the coupler parts are…
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Artikel Jurnal Teks lengkap
Effect of reflow profile on reliability of CNT-composite solder joint
This study investigates the effect of the different wt % of carbon nanotube (CNT) on melting point and the effect of time duration in the reflow zone on the reliability of the CNT-composite solder (CCS) solder. The reliability of the CCS solder was evaluated based on the microstructure and…
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Artikel Jurnal Teks lengkap
Microstructure and mechanical properties of super-invar alloy fabricated by wire-arc additive manufacturing
Here, wire-arc additive manufacturing (WAAM) is employed to manufacture a super-invar alloy thin-wall rectangular component. The microstructure is characterized by cellular sub-grains with different morphologies inside the epitaxially grown columnar crystals. Based on the finite element simulation…
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Advances in electroactive polymer-based haptic actuators for human-machine interfaces: from principles to applications
In the context of rapid technological advancement, haptic human-machine interfaces (HMIs) enhance user experience by simulating touch. Electroactive polymers (EAPs) are smart materials with high responsiveness, flexibility, and tunability, making them suitable for haptic actuators and feedback…
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Recovery of cyber manufacturing systems from false data injection attacks on sensors using reinforcement learning
The integration of automation, connectivity, and advanced analytics in manufacturing enhances productivity but also increases vulnerability to cyber threats including sensor attacks. Sensors—critical to automation—are particularly susceptible to false data injection attacks that can disrupt…
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Artikel Jurnal Teks lengkap
Laser-based powder bed fusion thermal history of IN718 parts and metallurgical considerations
Laser-based powder bed fusion (LB-PBF) as-built material properties; residual stresses and final component shape are dependent on the thermal history of the printed part. Design and optimization of the deposited material thus far depends on experimental trial and error. A systematic approach based…
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Artikel Jurnal Teks lengkap
Design of honeycomb energy-absorbing box and its low-speed crashing behaviour for automobiles
This study investigates the application potential of high-performance lightweight materials in automotive energy-absorbing structures. The crash performance of energy-absorbing boxes with different materials and cross-sectional shapes was first evaluated using the LS-DYNA module in ANSYS Workbench…
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Process monitoring of P-GMAW-based wire arc direct energy deposition of stainless steels via time-frequency domain analysis and Isolation Forest
Wire Arc Directed Energy Deposition (WA-DED) is emerging as a cost-effective method for fabricating large metallic components. Despite its robustness and high deposition rates, the process remains prone to instabilities and defects, making reliable monitoring essential for industrial adoption…
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Toward a holistic approach for design for additive manufacturing: a perspective on challenges, practical insights, and research needs
Additivе Manufacturing (AM) has advancеd significantly, offеring capabilitiеs that еxtеnd wеll bеyond thosе of traditional production mеthods. Howеvеr, thе intеgration of thеsе capabilitiеs into dеsign practicе rеmains limitеd, oftеn constrainеd by convеntional mеthodologiеs dеvеlopеd for…
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Study on the detection and suppression methods of carbon laying defects in auto fiber placement (AFP) process
This paper proposes an optimal control strategy for process parameters aimed at addressing layup defects, achieving defect recognition and localization, and maintaining temperature stability on the actual layup surface. Infrared thermography is employed to identify defects during the carbon fiber…
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Transfer learning-enhanced physics informed neural network for accurate melt pool prediction in laser melting
The profile of the melt pool is essential in selective laser melting (SLM) to control the process quality and avoid defects. Physics informed neural network (PINN) method is proposed to address challenges in various science and engineering problems when traditional numerical calculations are…
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Creating custom 3D printing material colors using optical modeling of waste plastic
Distributed recycling and additive manufacturing (DRAM) offer a unique promise for obtaining a circular economy. To maintain or even enhance the value of common 3D printing feedstocks like polylactic acid (PLA) waste an approach to further incentivize prosumers to use recycled feedstocks is to…
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Preparation and characterization of copper parts printed by electrochemical additive manufacturing process
This study presents the development and optimization of an electrochemical additive manufacturing technique for the fabrication of copper parts with various geometries, including dots, lines, and complex shapes, on metallic substrates. A customized syringe-based printing system was designed to…
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Pattern recognition of control chart with variable chain length based on recurrent neural network
The existing control chart pattern recognition method exhibits limitations in discriminating control charts with variable chain lengths, and it demonstrates poor generalization. This study introduces an innovative Recurrent Neural Network (RNN) control chart pattern recognition method designed to…
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A review on physics-informed machine learning for monitoring metal additive manufacturing process
The traditional data-driven models and pure physics models have been widely employed in quality prediction for additive manufacturing (AM). However, data-driven models rely on a large amount of labeled data, while pure physics models suffer from lower computational efficiency and accuracy. The…
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Artikel Jurnal Teks lengkap
A review on transfer learning in spindle thermal error compensation of spindle
Data-driven approaches offer unprecedented opportunities for smart manufacturing to facilitate the transition to Industry 4.0-based production. One of the key factors affecting the accuracy of machine tools is the thermal error caused by thermal deformation. A major heat source among those that…