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Journal articles on the topic 'Enhancement additive manufacturing'

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1

Näsström, Jonas, Frank Brueckner, and Alexander F. H. Kaplan. "Laser enhancement of wire arc additive manufacturing." Journal of Laser Applications 31, no. 2 (2019): 022307. http://dx.doi.org/10.2351/1.5096111.

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Bonavolontà, Francesco, Edoardo Campoluongo, Annalisa Liccardo, and Rosario Schiano Lo Moriello. "Performance Enhancement of Rogowski Coil Through an Additive Manufacturing Approach." International Review of Electrical Engineering (IREE) 14, no. 3 (2019): 148. http://dx.doi.org/10.15866/iree.v14i3.17606.

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3

Touzé, S., M. Rauch, and J. Y. Hascoët. "Flowability characterization and enhancement of aluminium powders for additive manufacturing." Additive Manufacturing 36 (December 2020): 101462. http://dx.doi.org/10.1016/j.addma.2020.101462.

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4

Wang, Xiuhu. "Research Progress and Current Situation of Laser Additive Technology." Academic Journal of Science and Technology 2, no. 1 (2022): 186–88. http://dx.doi.org/10.54097/ajst.v2i1.984.

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Laser additive technology additive manufacturing is a manufacturing method that realizes the combination of precise "shape control" of complex structure and high-performance "controllability". After rapid solidification, it forms a surface coating or matrix structure with very low dilution. Such surface coating or structure can effectively combine metallurgical technology, and can improve the wear resistance, corrosion resistance, heat resistance, oxidation resistance and other properties of the surface of the matrix material, or in manufacturing. At present, laser additive manufacturing is wi
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Gu, Dongdong, Xinyu Shi, Reinhart Poprawe, David L. Bourell, Rossitza Setchi, and Jihong Zhu. "Material-structure-performance integrated laser-metal additive manufacturing." Science 372, no. 6545 (2021): eabg1487. http://dx.doi.org/10.1126/science.abg1487.

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Laser-metal additive manufacturing capabilities have advanced from single-material printing to multimaterial/multifunctional design and manufacturing. Material-structure-performance integrated additive manufacturing (MSPI-AM) represents a path toward the integral manufacturing of end-use components with innovative structures and multimaterial layouts to meet the increasing demand from industries such as aviation, aerospace, automobile manufacturing, and energy production. We highlight two methodological ideas for MSPI-AM—“the right materials printed in the right positions” and “unique structur
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Sagar, K. G. "Ultrasonic Additive Manufacturing: An Overview." Recent Trends in Production Engineering 6, no. 2 (2023): 31–42. https://doi.org/10.5281/zenodo.8282906.

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<em>The University of Arkansas at Monticello employs high-frequency ultrasonic vibrations as a means of fusing metallic foils or layers together, thereby generating complex three-dimensional configurations. Unmanned Aerial Vehicles (UAVs) exhibit significant potential in various domains. However, there exist certain research lacunae that require attention to enhance their functionalities and surmount their constraints. The present investigation undertakes a comprehensive analysis of the existing research lacunae in Ultrasonic Additive Manufacturing and suggests potential remedies. Research req
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Srinivasan, Naveen Raj, J. Chamala Vaishnavi, BL Varun Darshan, D. Srajaysikhar, G. Sakthivel, and N. Raghukiran. "Enhancement of an electric drill body using design for additive manufacturing." Journal of Physics: Conference Series 1969, no. 1 (2021): 012025. http://dx.doi.org/10.1088/1742-6596/1969/1/012025.

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8

Andrew, J. Jefferson, Jabir Ubaid, Farrukh Hafeez, Andreas Schiffer, and S. Kumar. "Impact performance enhancement of honeycombs through additive manufacturing-enabled geometrical tailoring." International Journal of Impact Engineering 134 (December 2019): 103360. http://dx.doi.org/10.1016/j.ijimpeng.2019.103360.

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9

Cooke, S., C. Sinclair, and D. Maijer. "Enhancement of a quasi-analytical solution for modelling additive manufacturing processes." IOP Conference Series: Materials Science and Engineering 1281, no. 1 (2023): 012019. http://dx.doi.org/10.1088/1757-899x/1281/1/012019.

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Abstract Numerical modelling methods (e.g. finite element) can provide accurate descriptions of long-range temperature fields in laser or electron-beam melting processes, however the high computational costs at part-scale make them unsuitable for process modelling in additive manufacturing (AM). Alternative methods such as semi-analytical solutions based on a moving heat source reduce the computational expense but at the cost of unrealistic assumptions. Radiation, temperature-dependent physical properties and latent heat are not considered in the semi-analytical approach but can have a signifi
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10

Ahmed, F., T. Syed, M. Ashraf, and S. Adeel. "A review: Trends in Additive Manufacturing." Nucleus 58, no. 1-4 (2022): 23–30. https://doi.org/10.71330/nucleus.58.01-4.1184.

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Additive manufacturing (AM), familiar as 3-D printing, is converting global manufacturing. AM technology is changing the dynamics of the design and production capability of the manufacturing industry. The continuous growth and the positive results demonstrate that additive manufacturing has a considerable place in the future of manufacturing. A large number of matters and materials can be printed because of the progression extremity in additive manufacturing technology (AMT). The returns of three-dimensional printing techniques will keep up to occur by ongoing research activities to minimize t
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11

Demadis, Konstantinos D., Maria Somara, and Eleftheria Mavredaki. "Additive-Driven Dissolution Enhancement of Colloidal Silica. 3. Fluorine-Containing Additives." Industrial & Engineering Chemistry Research 51, no. 7 (2012): 2952–62. http://dx.doi.org/10.1021/ie202806m.

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12

Kim, Hayeol, Kyung-Hwan Kim, Jiyun Jeong, Yunsoo Lee, and Im Doo Jung. "Recent progress on materials for functional additive manufacturing." Materials Science in Additive Manufacturing 3, no. 2 (2024): 3323. http://dx.doi.org/10.36922/msam.3323.

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Material science in additive manufacturing (AM) has experienced remarkable advancements in the development of functional materials. This review systematically investigates the state-of-the-art research on AM of functional materials, providing a comprehensive overview of AM systems and methodologies employed for functional materials and applications. The review delves into various functional materials, including magnetic, metal powder, perovskite, piezoelectric, thermoelectric, and carbon-based materials, exploring their fabrication and applications in creating multifunctional components and de
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13

Pleasant, Dairon, Connor Gavin, Garrett Redden, Jacquelyn Nagel, and Hao Zhang. "Bioinspired Design of Material Architecture for Additive Manufacturing." Machines 11, no. 12 (2023): 1081. http://dx.doi.org/10.3390/machines11121081.

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This research explores the enhancement of mechanical properties in material architectures, such as strength-to-weight ratio and resilience, through the inspiration of natural systems. Historically, designs for additive manufacturing have relied on simple, repetitive structures like honeycombs, often leading to unnecessary material expenditure. This study aims to examine the compressive mechanical attributes of designs inspired by natural systems, including bird nests, cocoons, and the layered structure of skull bones. Through a comparative analysis, we assessed peak load capacity, strength-to-
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14

Pragana, João P. M., Beatriz Brito, Ivo M. F. Bragança, Carlos M. A. Silva, and Paulo A. F. Martins. "On the Enhancement of Material Formability in Hybrid Wire Arc Additive Manufacturing." Metals 14, no. 6 (2024): 716. http://dx.doi.org/10.3390/met14060716.

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This paper is focused on improving material formability in hybrid wire-arc additive manufacturing comprising metal forming stages to produce small-to-medium batches of customized parts. The methodology involves fabricating wire arc additive manufactured AISI 316L stainless steel parts subjected to mechanical and thermal processing (MTP), followed by microhardness measurements, tensile testing with digital image correlation, as well as microstructure and microscopic observations. Results show that mechanical processing by pre-straining followed by thermal processing by annealing can reduce mate
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15

Zhang, Ze, Kewei Song, Yifan Pan, Jianxian He, and Shinjiro Umezu. "Spatial mechanical enhancement strategy enabled by multi-axis material extrusion additive manufacturing." Journal of Manufacturing Processes 134 (January 2025): 762–74. https://doi.org/10.1016/j.jmapro.2025.01.002.

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16

Xu, Zhenlin, Hui Zhang, Xiaojie Du, et al. "Corrosion resistance enhancement of CoCrFeMnNi high-entropy alloy fabricated by additive manufacturing." Corrosion Science 177 (December 2020): 108954. http://dx.doi.org/10.1016/j.corsci.2020.108954.

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17

Bello, Kazeem Aderemi, Mukondeleli Grace Kanakana-Katumba, and Rendani Wilson Maladzhi. "A Review of Additive Manufacturing Post-Treatment Techniques for Surface Quality Enhancement." Procedia CIRP 120 (2023): 404–9. http://dx.doi.org/10.1016/j.procir.2023.09.010.

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18

Chmelko, Vladimír, Miroslav Šulko, Jaroslava Škriniarová, et al. "Strength and Cyclic Properties of Additive vs. Conventionally Produced Material AlSi10Mg." Materials 16, no. 7 (2023): 2598. http://dx.doi.org/10.3390/ma16072598.

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Additive metals are practically identical in strength to the properties of conventionally produced materials. This article experimentally analyses strength properties and fatigue properties in the tensile–pressure mode for two different directions of 3D printing of AlSi10Mg material. The resulting fatigue parameters of the Basquin curve are confronted with a conventionally produced alloy of the same composition. The microstructure analysis explains the different fatigue properties obtained by these two material production technologies. Phenomena such as strength enhancement in additive manufac
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19

Kovacev, Nikolina, Sheng Li, Weining Li, Soheil Zeraati-Rezaei, Athanasios Tsolakis, and Khamis Essa. "Additive Manufacturing of Novel Hybrid Monolithic Ceramic Substrates." Aerospace 9, no. 5 (2022): 255. http://dx.doi.org/10.3390/aerospace9050255.

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Additive manufacturing (AM) can revolutionise engineering by taking advantage of unconstrained design and overcoming the limitations of traditional manufacturing capabilities. A promising application of AM is in catalyst substrate manufacturing, aimed at the enhancement of the catalytic efficiency and reduction in the volume and weight of the catalytic reactors in the exhaust gas aftertreatment systems. This work addresses the design and fabrication of innovative, hybrid monolithic ceramic substrates using AM technology based on Digital Light Processing (DLP). The designs are based on two indi
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20

Onukwuli Somto Kenneth, Okpala Charles Chikwendu, and Udu Chukwudi Emeka. "The Role of Additive Manufacturing in Advancing Lean Production System." International Journal of Latest Technology in Engineering Management & Applied Science 14, no. 3 (2025): 179–88. https://doi.org/10.51583/ijltemas.2025.140300022.

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Additive Manufacturing (AM), often referred to as 3D printing, is transforming the contemporary manufacturing environment through flexibility enhancement, waste identification and reduction, as well as rapid prototyping enablement. The integration of AM into Lean Production System (LPS) has the potential to improve quality and production efficiency, enhance throughput and profitability, and also minimize resource consumption. This paper systematically explores the synergy between AM and LPS which leads to not just waste reduction, but increases customization and also fosters Just-In-Time (JIT)
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21

Speranza, Domenico, Daniela Citro, Francesco Padula, et al. "Additive Manufacturing Techniques for the Reconstruction of 3D Fetal Faces." Applied Bionics and Biomechanics 2017 (2017): 1–10. http://dx.doi.org/10.1155/2017/9701762.

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This paper deals with additive manufacturing techniques for the creation of 3D fetal face models starting from routine 3D ultrasound data. In particular, two distinct themes are addressed. First, a method for processing and building 3D models based on the use of medical image processing techniques is proposed. Second, the preliminary results of a questionnaire distributed to future parents consider the use of these reconstructions both from an emotional and an affective point of view. In particular, the study focuses on the enhancement of the perception of maternity or paternity and the improv
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22

Byiringiro, J., M. Chaanaoui, M. Halimi, and S. Vaudreuil. "Heat transfer improvement using additive manufacturing technologies: a review." Archives of Materials Science and Engineering 123, no. 1 (2023): 30–41. http://dx.doi.org/10.5604/01.3001.0053.9781.

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To provide a comprehensive review of additive manufacturing use in heat transfer improvement and to carry out the economic feasibility of additive manufacturing compared to conventional manufacturing. Heat transfer improvement is particularly interesting for different industrial sectors due to its economic, practical, and environmental benefits. Three heat transfer improvement techniques are used: active, passive, and compound.According to numerous studies on heat transfer enhancement devices, most configurations with strong heat transfer performance are geometrically complex. Thus, those conf
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23

Wang, Zhisheng, Wei Fan, He Shi, Pengyu Shi, and Rongxiao Don. "Study of atomization characteristics of air atomizing nozzles for additive manufacturing." Journal of Physics: Conference Series 2228, no. 1 (2022): 012032. http://dx.doi.org/10.1088/1742-6596/2228/1/012032.

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Abstract In the present study, a series of experiments on the fuel jet from a 3D-printed swirling nozzle were performed. The particle size distribution of the fuel at different injection pressures was measured by a particle size analyzer, and the enhancement of the jet atomization by swirling air was also evaluated. The Rosin-Rammler distribution model was used to analyze the trend of the jet distribution modulus along with the fuel inject pressure, and the particle size variation analyzed the jet development process. The applicability of 3D printed nozzles for aero-engine was evaluated by var
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24

Omairi, Amzar, and Zool Hilmi Ismail. "Towards Machine Learning for Error Compensation in Additive Manufacturing." Applied Sciences 11, no. 5 (2021): 2375. http://dx.doi.org/10.3390/app11052375.

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Additive Manufacturing (AM) of three-dimensional objects is now being progressively realised with its ad-hoc approach with minimal material wastage (lean manufacturing) being one of its benefit by default. It could also be considered as an evolutional paradigm in the manufacturing industry with its long list of application as of late. Artificial Intelligence is currently finding its usefulness in predictive modelling to provide intelligent, efficient, customisable, high-quality and sustainable-oriented production process. This paper presents a comprehensive survey on commonly used predictive m
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25

Ishimoto, Takuya, and Takayoshi Nakano. "Microstructural control and functional enhancement of light metal materials via metal additive manufacturing." Journal of Japan Institute of Light Metals 72, no. 6 (2022): 327–33. http://dx.doi.org/10.2464/jilm.72.327.

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26

Akasheh, Firas, and Heshmat Aglan. "Fracture toughness enhancement of carbon fiber–reinforced polymer composites utilizing additive manufacturing fabrication." Journal of Elastomers & Plastics 51, no. 7-8 (2018): 698–711. http://dx.doi.org/10.1177/0095244318817867.

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The present work reports a novel approach to enhance the fracture resistance and notch sensitivity of carbon fiber-reinforced polymer composites utilizing additive manufacturing (3-D printing) fabrication. The 3-D printed composites utilize carbon fiber bundles to reinforce nylon/chopped fiber resin in a multilayered structure configuration. Single-edge (60°) notched samples were printed using Mark Two printer. Three reinforcement schemes were designed and used to manufacture the specimens. The focus was placed on selective reinforcement at the crack tip to arrest crack initiation. The mechani
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27

Brizuela, B., E. Villaruel, B. Williams, et al. "392 Enhancement of Medical Education in Point-of-Care Ultrasound Using Additive Manufacturing." Annals of Emergency Medicine 84, no. 4 (2024): S177. http://dx.doi.org/10.1016/j.annemergmed.2024.08.391.

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28

Ghim, Min-Soo, Hyung Woo Kim, and Young-Sam Cho. "Enhancement fidelity of Kagome scaffold for bone regeneration by design for additive manufacturing." Materials & Design 225 (January 2023): 111608. http://dx.doi.org/10.1016/j.matdes.2023.111608.

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Tarek, Shaimaa, Yasser Mansour, Sherif Abdelmohsen, Mohamed Kohail, and Ayman Assem. "Evaluating the role of additive manufacturing in adobe brick enhancement: A comparative study." Ain Shams Engineering Journal 16, no. 3 (2025): 103298. https://doi.org/10.1016/j.asej.2025.103298.

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30

Chtioui, N., R. Gaha, S. Chatti, and A. Benamara. "S-FMECA: A Novel Tool for Sustainable Product Design - Additive Manufacturing." Annals of Dunarea de Jos University of Galati. Fascicle XII, Welding Equipment and Technology 34 (December 30, 2023): 89–104. http://dx.doi.org/10.35219/awet.2023.08.

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The choices made in the early design stage (EDS) will largely define the environmental impacts of a product. The purpose of this paper is to develop an eco-design method used for assessing semi-quantitatively the sustainability of an additively manufactured product since the EDS. This article presents a semi-quantitative method to support EDS-conscious environmental decisions. A novel Sustainable-Failure Mode, Effect, and Criticality Analysis (S-FMECA) tool is developed to support designers in the conceptual design phase, to guide the choices, and to provide a valuable evaluation of the future
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Petsiuk, Aliaksei, Harnoor Singh, Himanshu Dadhwal, and Joshua M. Pearce. "Synthetic-to-Real Composite Semantic Segmentation in Additive Manufacturing." Journal of Manufacturing and Materials Processing 8, no. 2 (2024): 66. http://dx.doi.org/10.3390/jmmp8020066.

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The application of computer vision and machine learning methods for semantic segmentation of the structural elements of 3D-printed products in the field of additive manufacturing (AM) can improve real-time failure analysis systems and potentially reduce the number of defects by providing additional tools for in situ corrections. This work demonstrates the possibilities of using physics-based rendering for labeled image dataset generation, as well as image-to-image style transfer capabilities to improve the accuracy of real image segmentation for AM systems. Multi-class semantic segmentation ex
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Foorginejad, Abolfazl, Siamak Khatibi, Hojjat Torshizi, Sayyed Mohammad Emam, and Hossein Afshari. "Enhancement of Additive Manufacturing Processes for Thin-Walled Part Production Using Gas Metal Arc Welding (GMAW) with Wavelet Transform." Applied Sciences 14, no. 21 (2024): 9909. http://dx.doi.org/10.3390/app14219909.

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Additive manufacturing encompasses technologies that produce three-dimensional computer-aided design (CAD) models through a layer-by-layer production process. Compared to traditional manufacturing methods, additive manufacturing technologies offer significant advantages in producing intricate components with minimal energy consumption, reduced raw material waste, and shortened production timelines. AM methods based on shielded gas welding have recently piqued the interest of researchers due to their high efficiency and cost-effectiveness in manufacturing critical components. However, one of th
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Huangfu, Binghan, Yujing Liu, Xiaochun Liu, Xiang Wu, and Haowei Bai. "Anisotropy of Additively Manufactured Metallic Materials." Materials 17, no. 15 (2024): 3653. http://dx.doi.org/10.3390/ma17153653.

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Additive manufacturing (AM) is a technology that builds parts layer by layer. Over the past decade, metal additive manufacturing (AM) technology has developed rapidly to form a complete industry chain. AM metal parts are employed in a multitude of industries, including biomedical, aerospace, automotive, marine, and offshore. The design of components can be improved to a greater extent than is possible with existing manufacturing processes, which can result in a significant enhancement of performance. Studies on the anisotropy of additively manufactured metallic materials have been reported, an
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Abdullah, Ahmad Baharuddin, M. F. A. Md-Azlin, M. A. Roslee, A. G. Vasuthaven, and Z. K. Wani. "Properties Enhancement of Metal Additive Manufactured Part via Cold Deformation Process." Diffusion Foundations and Materials Applications 35 (June 11, 2024): 15–23. http://dx.doi.org/10.4028/p-mbqbb6.

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Wire-arc additive manufacturing is a method of 3D printing metal using welding techniques. However, due to heat, the mechanical properties of the deposited material may be affected. Various methods have been proposed to mechanically improve the properties. In this study, cold deformation was introduced to enhance the properties. The effects of a few parameters, including welding speed, wire feed rate, heat input, thickness ratio, and types of material, were studied. Based on the result, the hardness, tensile, and wear properties of the manufactured part improved, while other properties, like i
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35

Norbert, Blanco, Llobet Jordi, Tena Albert, Piedrafita Daniel, and Sarrado Carlos. "MAYA - Manufacturing of the lining panel using hybrid technologies; Additive manufacturing, injection moulding and thermoforming." Revista de la Asociación Española de Materiales Compuestos (AEMAC) 6, no. 1 (2022): 26–35. https://doi.org/10.5281/zenodo.6363100.

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MAYA aims at developing innovative manufacturing routes integrating standard thermoplastic processes (such as injection moulding) and additive manufacturing to produce fuselage composite lining panels. These panels basically consist on sandwich structures with sheets reinforced with fibre-glass hold to the aircraft frame by a set of brackets. The high productivity rate of thermoplastic injection moulding associated to the design freedom of 3D printing will lead to an enhancement of the manufacturing process of the panel-bracket assembly resulting in lighter and less expensive panels with impro
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Pitjamit, Siwasit, Norrapon Vichiansan, Parida Jewpanya, et al. "Investigating Tensile Strength in SLA 3D Printing Enhancement Through Experimentation and Finite Element Analysis." Journal of Applied Engineering and Technological Science (JAETS) 6, no. 1 (2024): 206–24. https://doi.org/10.37385/jaets.v6i1.5119.

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Additive manufacturing, particularly Stereolithography (SLA) 3D printing, has emerged as a promising technology for producing complex and customized components. This study investigates the optimization of tensile strength in SLA 3D printed resin through a comprehensive experimental and computational analysis. Utilizing a multilevel factorial design approach, the study systematically evaluates the influence of print orientation and layer orientation on tensile strength. Experimental testing, conducted using an Instron 5566 machine, reveals that a print orientation of 22.5 degrees and side orien
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Zeiser, Alexander, Bekir Özcan, Christoph Kracke, Bas van Stein, and Thomas Bäck. "A data-centric approach to anomaly detection in layer-based additive manufacturing." at - Automatisierungstechnik 71, no. 1 (2023): 81–89. http://dx.doi.org/10.1515/auto-2022-0104.

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Abstract Anomaly detection describes methods of finding abnormal states, instances or data points that differ from a normal value space. Industrial processes are a domain where predicitve models are needed for finding anomalous data instances for quality enhancement. A main challenge, however, is absence of labels in this environment. This paper contributes to a data-centric way of approaching artificial intelligence in industrial production. With a use case from additive manufacturing for automotive components we present a deep-learning-based image processing pipeline. We integrate the concep
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Researcher. "INTEGRATION OF ADDITIVE MANUFACTURING TECHNIQUES IN PRECISION MACHINE DESIGN AND DEVELOPMENT FOR HIGH-PERFORMANCE APPLICATIONS." Journal of Machine Design (JMD), no. 1 (January 28, 2025): 1–7. https://doi.org/10.5281/zenodo.14752531.

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The integration of additive manufacturing (AM) techniques into precision machine design has emerged as a transformative approach to enhance performance, cost efficiency, and sustainability. AM offers unparalleled flexibility in creating complex geometries, lightweight components, and customized designs, driving innovation in high-performance applications across aerospace, medical, and industrial domains. This paper explores the role of AM in precision machine design, focusing on material selection, design optimization, and performance enhancement. A review of existing literature highlights the
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Ali, Usman, Haniyeh Fayazfar, Farid Ahmed, and Ehsan Toyserkani. "Internal surface roughness enhancement of parts made by laser powder-bed fusion additive manufacturing." Vacuum 177 (July 2020): 109314. http://dx.doi.org/10.1016/j.vacuum.2020.109314.

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Zanini, Filippo, Elia Sbettega, and Simone Carmignato. "X-ray computed tomography for metal additive manufacturing: challenges and solutions for accuracy enhancement." Procedia CIRP 75 (2018): 114–18. http://dx.doi.org/10.1016/j.procir.2018.04.050.

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Zhukov, V. E., N. N. Mezentseva, and A. N. Pavlenko. "Heat Transfer Enhancement on Surface Modified via Additive Manufacturing during Pool Boiling of Freon." Journal of Engineering Thermophysics 31, no. 4 (2022): 551–62. http://dx.doi.org/10.1134/s1810232822040014.

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42

Xu, Gaopeng. "Development and Practice of Additive Manufacturing Curriculum System for Emerging Engineering Education." International Educational Research 8, no. 1 (2025): p36. https://doi.org/10.30560/ier.v8n1p36.

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This paper presents the development and implementation of a comprehensive additive manufacturing (AM) course system tailored to the new engineering education framework. Emphasizing interdisciplinary collaboration, innovation, and practical skills, the course system integrates fundamental AM principles, hands-on applications, and interdisciplinary elements. The curriculum is structured into theoretical, practical, and elective modules, employing pedagogical strategies such as project-based learning and flipped classrooms. Initial outcomes indicate significant improvements in student performance
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43

Halley, Sleight, Kannan Ramaiyan, Lok-kun Tsui, and Fernando H. Garzon. "The Additive to Mass Manufacturing Process of Mixed Potential Electrochemical Sensors." ECS Meeting Abstracts MA2024-01, no. 50 (2024): 2712. http://dx.doi.org/10.1149/ma2024-01502712mtgabs.

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Additive manufacturing allows for quick turn around and low cost of production of small numbers of parts. These attributes lend the technology to prototype development, where design changes are many and production numbers are low [1]. Once design parameters have been nailed down, additive manufacturing’s low throughput and poor reproducibility limit application to high volume production. Here, we discuss the implementation of direct-write extrusion of ceramic pastes and metal inks for prototype manufacturing of mixed potential electrochemical sensors and the transition to tape casting and scre
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Siti Iriaty Sa Ismail, Mohd Khairol Anuar Mohd Ariffin, Mohd Idris Shah Ismail, Zaimah Hasan, and Mohammadreza Lalegani Dezaki. "A Comprehensive Scientific Review of Additive Manufacturing Based on Fiber Laser Technique." Journal of Advanced Research in Applied Sciences and Engineering Technology 65, no. 2 (2025): 125–42. https://doi.org/10.37934/araset.65.2.125142.

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This article presents a thorough scientific review of Additive Manufacturing (AM) grounded in the fiber laser technique, exploring its multifaceted dimensions to unveil both potential and challenges. The introduction sets the stage by emphasizing the transformative impact of AM technologies on modern manufacturing, specifically focusing on the precision and versatility offered by Fiber Laser-based Additive Manufacturing (FLAM). Addressing the critical problem statement, the review identifies existing gaps in understanding FLAM, ranging from material compatibility issues to process optimization
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Ko, Ui Jun, Ju Hyeong Jung, Jung Hyun Kang, Kyunsuk Choi, and Jeoung Han Kim. "Enhanced Microstructure and Wear Resistance of Ti–6Al–4V Alloy with Vanadium Carbide Coating via Directed Energy Deposition." Materials 17, no. 3 (2024): 733. http://dx.doi.org/10.3390/ma17030733.

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Ti–6Al–4V alloys are known for their suboptimal tribological properties and are often challenged by durability issues under severe wear conditions. This study was conducted to enhance the alloy’s wear resistance by forming a hardened surface layer. Utilizing directed energy deposition (DED) additive manufacturing with a diode laser, vanadium carbide particles were successfully integrated onto a Ti–6Al–4V substrate. This approach deviates from traditional surface enhancement techniques like surface hardening and cladding, as it employs DED additive manufacturing under parameters akin to those u
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46

Burad, Prayag, G. Chaitanya, Nikhil Thawari, Jatin Bhatt, and T. V. K. Gupta. "Characterization of Additive Manufactured Inconel 718 Alloy Using Laser Cladding." Key Engineering Materials 882 (April 2021): 3–10. http://dx.doi.org/10.4028/www.scientific.net/kem.882.3.

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Laser based metal additive manufacturing (AM) is an emerging technology in various aerospace industries including aero-engine components and turbine manufactures. Laser cladding is a potential process for material deposition and surface enhancement technique that forms a strong metallurgical bond with the substrate. In the present study, Nickel based Inconel 718 (IN718) super alloy which maintains high strength working at elevated temperatures is used as the clad material. The study investigates the processing of Inconel 718 with powder morphology and microstructural properties and also two, t
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47

Kim, Jae-Eun, and Keun Park. "Correction to: Multiscale Topology Optimization Combining Density-Based Optimization and Lattice Enhancement for Additive Manufacturing." International Journal of Precision Engineering and Manufacturing-Green Technology 8, no. 4 (2021): 1369. http://dx.doi.org/10.1007/s40684-020-00307-2.

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48

Chen, Wei, Lianyong Xu, Kangda Hao, Yongdian Han, Lei Zhao, and Hongyang Jing. "Additive manufacturing of 15-5PH/WC composites with the synergistic enhancement of strength and ductility." Materials Science and Engineering: A 840 (April 2022): 142926. http://dx.doi.org/10.1016/j.msea.2022.142926.

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49

Gordon, Jerard, Jacob Hochhalter, Christina Haden, and D. Gary Harlow. "Enhancement in fatigue performance of metastable austenitic stainless steel through directed energy deposition additive manufacturing." Materials & Design 168 (April 2019): 107630. http://dx.doi.org/10.1016/j.matdes.2019.107630.

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Chen, Lequn, Guijun Bi, Xiling Yao, et al. "In-situ process monitoring and adaptive quality enhancement in laser additive manufacturing: A critical review." Journal of Manufacturing Systems 74 (June 2024): 527–74. http://dx.doi.org/10.1016/j.jmsy.2024.04.013.

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