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Journal articles on the topic 'Additive manufacturing process'

Author: Grafiati

Published: 4 June 2021

Last updated: 6 February 2022

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1

Scherwitz, Philipp, Steffen Ziegler, and Johannes Schilp. "Process Mining in der additiven Auftragsabwicklung/Process Mining for additive manufacturing." wt Werkstattstechnik online 110, no. 06 (2020): 429–34. http://dx.doi.org/10.37544/1436-4980-2020-06-69.

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Die Fähigkeit der additiven Fertigung in Losgröße 1 zu fertigen, erzeugt eine hohe Komplexität in der Auftragsabwicklung. Dies stellt die datenbasierte Optimierung der Prozessabläufe vor große Herausforderungen. Durch die geringen Stückzahlen, bei einer hohen Variantenanzahl, ist die Prozessaufnahme in der additiven Fertigung mit signifikanten Aufwänden verbunden. Abhilfe kann hier eine automatisierte Prozessaufnahme schaffen. Deshalb soll in diesem Beitrag die Technologie des Process Mining untersucht und darauf aufbauend eine Vorgehensweise für die datenbasierte Optimierung in der additiven

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2

Costa, José, Elsa Sequeiros, Maria Teresa Vieira, and Manuel Vieira. "Additive Manufacturing." U.Porto Journal of Engineering 7, no. 3 (2021): 53–69. http://dx.doi.org/10.24840/2183-6493_007.003_0005.

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Additive manufacturing (AM) is one of the most trending technologies nowadays, and it has the potential to become one of the most disruptive technologies for manufacturing. Academia and industry pay attention to AM because it enables a wide range of new possibilities for design freedom, complex parts production, components, mass personalization, and process improvement. The material extrusion (ME) AM technology for metallic materials is becoming relevant and equivalent to other AM techniques, like laser powder bed fusion. Although ME cannot overpass some limitations, compared with other AM tec

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3

Tyralla, Dieter, and Thomas Seefeld. "Advanced Process Monitoring in Additive Manufacturing." PhotonicsViews 17, no. 3 (2020): 60–63. http://dx.doi.org/10.1002/phvs.202000028.

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4

Femmer, Tim, Ina Flack, and Matthias Wessling. "Additive Manufacturing in Fluid Process Engineering." Chemie Ingenieur Technik 88, no. 5 (2016): 535–52. http://dx.doi.org/10.1002/cite.201500086.

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5

Gohari, Hossein, Ahmad Barari, Hossam Kishawy, and Marcos S. G. Tsuzuki. "Intelligent Process Planning for Additive Manufacturing." IFAC-PapersOnLine 52, no. 10 (2019): 218–23. http://dx.doi.org/10.1016/j.ifacol.2019.10.067.

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6

Fadhel, Nawfal F., Richard M. Crowder, and Gary B. Wills. "Provenance in the Additive Manufacturing Process." IFAC-PapersOnLine 48, no. 3 (2015): 2345–50. http://dx.doi.org/10.1016/j.ifacol.2015.06.438.

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7

Ponche, Remi, Olivier Kerbrat, Pascal Mognol, and Jean-Yves Hascoet. "A novel methodology of design for Additive Manufacturing applied to Additive Laser Manufacturing process." Robotics and Computer-Integrated Manufacturing 30, no. 4 (2014): 389–98. http://dx.doi.org/10.1016/j.rcim.2013.12.001.

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8

Prashanth, Konda Gokuldoss, and Zhi Wang. "Additive Manufacturing: Alloy Design and Process Innovations." Materials 13, no. 3 (2020): 542. http://dx.doi.org/10.3390/ma13030542.

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9

Mäntyjärvi, Kari, Terho Iso-Junno, Henri Niemi, and Jarmo Mäkikangas. "Design for Additive Manufacturing in Extended DFMA Process." Key Engineering Materials 786 (October 2018): 342–47. http://dx.doi.org/10.4028/www.scientific.net/kem.786.342.

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As a new manufacturing method, Additive Manufacturing has begun to get a foothold in the manufacturing industry. The effective exploitation of the technology requires many times a re-design of the product or re-considering the manufacturing technology. Design for additive manufacturing differs considerably from design to other manufacturing methods, therefore design guidelines for additive manufacturing has been developed. The purpose of this paper is to present a new variant of the Design for Manufacturing and Assembly (DFMA) method which supports additive manufacturing.

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10

Fadhel, Nawfal F., Richard M. Crowder, and Gary B. Wills. "Maintaining Provenance throughout the Additive Manufacturing Process." International Journal for Information Security Research 4, no. 3 (2014): 459–68. http://dx.doi.org/10.20533/ijisr.2042.4639.2014.0053.

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11

Habib, Md Ahasan, and Bashir Khoda. "Attribute driven process architecture for additive manufacturing." Robotics and Computer-Integrated Manufacturing 44 (April 2017): 253–65. http://dx.doi.org/10.1016/j.rcim.2016.10.003.

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12

Korinko, Paul S., John T. Bobbitt, Michael J. Morgan, Marissa Reigel, Fredrick A. List, and Sudarsanam Suresh Babu. "Characterization of Additive Manufacturing for Process Tubing." JOM 71, no. 3 (2019): 1095–104. http://dx.doi.org/10.1007/s11837-019-03341-x.

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13

Wang, Xiaolong, Aimin Wang, Kaixiang Wang, and Yuebo Li. "Process stability for GTAW-based additive manufacturing." Rapid Prototyping Journal 25, no. 5 (2019): 809–19. http://dx.doi.org/10.1108/rpj-02-2018-0046.

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Abstract Purpose Traditional gas tungsten arc welding (GTAW) and GTAW-based wire and arc additive manufacturing (WAAM) are notably different. These differences are crucial to the process stability and surface quality in GTAW WAAM. This paper addresses special characteristics and the process control method of GTAW WAAM. The purpose of this paper is to improve the process stability with sensor information fusion in omnidirectional GTAW WAAM process. Design/methodology/approach A wire feed strategy is proposed to achieve an omnidirectional GTAW WAAM process. Thus, a model of welding voltage with

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14

Cunico, Marlon Wesley Machado, Miriam Machado Cunico, Patrick Medeiros Cavalheiro, and Jonas de Carvalho. "Investigation of additive manufacturing surface smoothing process." Rapid Prototyping Journal 23, no. 1 (2017): 201–8. http://dx.doi.org/10.1108/rpj-11-2015-0176.

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Purpose The additive manufacturing technologies have been facing an extraordinary growth along the past years. This phenomenon might be correlated with rise of low-cost FDM technologies into the non-professional market segment. In contrast with that, among the main disadvantages found in this sort of equipment are the final object finishing and low mechanical strength. For that reason, the purpose of this paper is to present and characterise a surface treatment which is based on solvent vapour attack and that is also known as smoothing process. In addition, a concise overview about the theory

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15

KITAMURA, Yuta, Mitsuyoshi TSUNORI, Masashi MOURI, and Koji NEZAKI. "Process Simulation for Electron Beam Additive Manufacturing." Proceedings of The Computational Mechanics Conference 2018.31 (2018): 085. http://dx.doi.org/10.1299/jsmecmd.2018.31.085.

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16

TATEISHIT, Motoharu, and Kengo Yoshida. "Introduction of additive manufacturing process simulation technology." Proceedings of The Computational Mechanics Conference 2018.31 (2018): 126. http://dx.doi.org/10.1299/jsmecmd.2018.31.126.

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17

Asadollahi-Yazdi, Elnaz, Julien Gardan, and Pascal Lafon. "Multi-Objective Optimization of Additive Manufacturing Process." IFAC-PapersOnLine 51, no. 11 (2018): 152–57. http://dx.doi.org/10.1016/j.ifacol.2018.08.250.

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18

Ahsan, AMM Nazmul, Md Ahasan Habib, and Bashir Khoda. "Resource based process planning for additive manufacturing." Computer-Aided Design 69 (December 2015): 112–25. http://dx.doi.org/10.1016/j.cad.2015.03.006.

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19

Sing, Swee, and Wai Yeong. "Process–Structure–Properties in Polymer Additive Manufacturing." Polymers 13, no. 7 (2021): 1098. http://dx.doi.org/10.3390/polym13071098.

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20

Wang, Yuanbin, Robert Blache, and Xun Xu. "Selection of additive manufacturing processes." Rapid Prototyping Journal 23, no. 2 (2017): 434–47. http://dx.doi.org/10.1108/rpj-09-2015-0123.

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Purpose This study aims to review the existing methods for additive manufacturing (AM) process selection and evaluate their suitability for design for additive manufacturing (DfAM). AM has experienced a rapid development in recent years. New technologies, machines and service bureaus are being brought into the market at an exciting rate. While user’s choices are in abundance, finding the right choice can be a non-trivial task. Design/methodology/approach AM process selection methods are reviewed based on decision theory. The authors also examine how the user’s preferences and AM process perfor

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21

Murai, Yu, Shinichi Fukushige, and Hideki Kobayashi. "Environmental Load Evaluation of Automobile Manufacturing Process Using Additive Manufacturing." Proceedings of Design & Systems Conference 2016.26 (2016): 2112. http://dx.doi.org/10.1299/jsmedsd.2016.26.2112.

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22

Liu, Xi-juan. "Modeling of additive manufacturing process relevant feature in layer based manufacturing process planning." Journal of Shanghai Jiaotong University (Science) 17, no. 2 (2012): 241–44. http://dx.doi.org/10.1007/s12204-012-1260-6.

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23

P. Cooper, Khershed, and Ralph F. Wachter. "Cyber-enabled manufacturing systems for additive manufacturing." Rapid Prototyping Journal 20, no. 5 (2014): 355–59. http://dx.doi.org/10.1108/rpj-01-2013-0001.

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Purpose – The purpose of this paper is to study cyber-enabled manufacturing systems (CeMS) for additive manufacturing (AM). The technology of AM or solid free-form fabrication has received considerable attention in recent years. Several public and private interests are exploring AM to find solutions to manufacturing problems and to create new opportunities. For AM to be commercially accepted, it must make products reliably and predictably. AM processes must achieve consistency and be reproducible. Design/methodology/approach – An approach we have taken is to foster a basic research program in

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24

Jones, Jason B., David I. Wimpenny, and Greg J. Gibbons. "Additive manufacturing under pressure." Rapid Prototyping Journal 21, no. 1 (2015): 89–97. http://dx.doi.org/10.1108/rpj-02-2013-0016.

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Purpose – This paper aims to investigate the effects on material properties of layer-by-layer application of pressure during fabrication of polymeric parts by additive manufacturing (AM). Although AM, also known popularly as 3D printing, has set a new standard for ease of use and minimal restraint on geometric complexity, the mechanical part properties do not generally compare with conventional manufacturing processes. Contrary to other types of polymer processing, AM systems do not normally use (in-process) pressure during part consolidation. Design/methodology/approach – Tensile specimens we

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25

Prajapati, Devendra Kumar, and Ravinder Kumar. "Additive Manufacturing Sustainability in Industries." Advanced Science, Engineering and Medicine 12, no. 7 (2020): 894–99. http://dx.doi.org/10.1166/asem.2020.2647.

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Additive manufacturing (AM) is an advanced technique to fabricate a three-dimensional object while utilizing materials with minimal wastage to produce complex shape geometries. This technique has escalated practically as well as academically, resulting in a wide range of utility in the current global scenario to ease the manufacturing of complex and intricate objects with the use of various materials, depending upon the properties and availability of the same. Every industries wants to achieve the sustainability, easily can be possible through this manufacturing process. Due to the scope for a

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26

Ibabe, Julen, Antero Jokinen, Jari Larkiola, and Gurutze Arruabarrena. "Structural Optimization and Additive Manufacturing." Key Engineering Materials 611-612 (May 2014): 811–17. http://dx.doi.org/10.4028/www.scientific.net/kem.611-612.811.

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Additive Manufacturing technology offers almost unlimited capacity when manufacturing parts with complex geometries which could be impossible to get with conventional manufacturing processes. This paper is based on the study of a particular real part which has been redesigned and manufactured using an AM process. The challenge consists of redesigning the geometry of an originally aluminium made part, in order to get a new stainless steel made model with same mechanical properties but with less weight. The new design is the result of a structural optimization process based on Finite Element sim

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27

Zhang, Bin, Shunyu Liu, and Yung C. Shin. "In-Process monitoring of porosity during laser additive manufacturing process." Additive Manufacturing 28 (August 2019): 497–505. http://dx.doi.org/10.1016/j.addma.2019.05.030.

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28

Citarella, Roberto, and Venanzio Giannella. "Additive Manufacturing in Industry." Applied Sciences 11, no. 2 (2021): 840. http://dx.doi.org/10.3390/app11020840.

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The advent of additive manufacturing (AM) processes applied to the fabrication of structural components has created the need for design methodologies and structural optimization approaches that take into account the specific characteristics of the fabrication process. While AM processes give unprecedented geometrical design freedom, which can result in significant reductions in the components’ weight (e.g., through part count reduction), on the other hand, they have implications for the fatigue and fracture strength, because of residual stresses and microstructural features. This is due to str

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29

Prashanth, Konda Gokuldoss, and Sergio Scudino. "Quasicrystalline Composites by Additive Manufacturing." Key Engineering Materials 818 (August 2019): 72–76. http://dx.doi.org/10.4028/www.scientific.net/kem.818.72.

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Laser based powder bed fusion (LBPF) or selective laser melting (SLM) is making a leap march towards fabricating novel materials with improved functionalities. An attempt has been made here to fabricate hard quasicrystalline composites via SLM, which demonstrates that the process parameters can be used to vary the phases in the composites. The mechanical properties of the composite depend on their constituents and hence can be varied by varying the process parameters. The results show that SLM not only produces parts with improved functionalities and complex shape but also leads to defined pha

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30

Rylands, Brogan, Tillmann Böhme, Robert Gorkin, Joshua Fan, and Thomas Birtchnell. "The adoption process and impact of additive manufacturing on manufacturing systems." Journal of Manufacturing Technology Management 27, no. 7 (2016): 969–89. http://dx.doi.org/10.1108/jmtm-12-2015-0117.

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Purpose Company pressure for manufacturers is mounting from two angles: increasing pressure of global competition, and rapid advancements in technology such as additive manufacturing (AM) that are altering the way that goods are manufactured. The purpose of this paper is to explore the adoption process of AM within a manufacturing system and its business impact. Design/methodology/approach Research was conducted to collect empirical data at two manufacturing case companies in the North West England. Both cases are located in areas of industrial recovery using AM engineering innovation for valu

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31

Grandvallet, Christelle, Frederic Vignat, Franck Pourroy, Guy Prudhomme, and Nicolas Béraud. "An Approach to Model Additive Manufacturing Process Rules." International Journal of Mechanical Engineering and Robotics Research 6, no. 6 (2017): 9–15. http://dx.doi.org/10.18178/ijmerr.7.1.9-15.

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32

Koizumi, Yuichiro. "Solidification and Process Optimization in Metal Additive Manufacturing." Journal of The Japan Institute of Electronics Packaging 23, no. 6 (2020): 446–51. http://dx.doi.org/10.5104/jiep.23.446.

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33

Gibson, Ian, and Amir Khorasani. "Metallic Additive Manufacturing: Design, Process, and Post-Processing." Metals 9, no. 2 (2019): 137. http://dx.doi.org/10.3390/met9020137.

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34

Klahn, Christoph, Bastian Leutenecker, and Mirko Meboldt. "Design Strategies for the Process of Additive Manufacturing." Procedia CIRP 36 (2015): 230–35. http://dx.doi.org/10.1016/j.procir.2015.01.082.

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35

INOUE, Takayuki. "Applicability of Additive Manufacturing Process for Medical Devices." Journal of Smart Processing 8, no. 4 (2019): 114–18. http://dx.doi.org/10.7791/jspmee.8.114.

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36

KOIZUMI, Yuichiro. "Optimization of Additive Manufacturing Process Utilizing Computer Simulation." Journal of Smart Processing 8, no. 4 (2019): 132–38. http://dx.doi.org/10.7791/jspmee.8.132.

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37

Shukla, Pranjal, Balaram Dash, Degala Venkata Kiran, and Satish Bukkapatnam. "Arc Behavior in Wire Arc Additive Manufacturing Process." Procedia Manufacturing 48 (2020): 725–29. http://dx.doi.org/10.1016/j.promfg.2020.05.105.

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38

Wortmann, Nadine, Christoph Jürgenhake, Tobias Seidenberg, Roman Dumitrescu, and Dieter Krause. "Methodical Approach for Process Selection in Additive Manufacturing." Proceedings of the Design Society: International Conference on Engineering Design 1, no. 1 (2019): 779–88. http://dx.doi.org/10.1017/dsi.2019.82.

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AbstractIn recent years, rapid technical progress has led to additive manufacturing achieving a high degree of technological maturity that enables a broad range of applications. This is reinforced in particular by the advantages of the technology, such as the production of complex components, smaller quantities and fast reaction times. However, a lack of knowledge of the various process techniques, such as insufficient potential assessment, specific design guidelines or even of process restrictions, often lead to different errors.This paper presents a methodological approach to support designe

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39

Garcia, Fabricio Leon, Virgínia Aparecida da Silva Moris, Andréa Oliveira Nunes, and Diogo Aparecido Lopes Silva. "Environmental performance of additive manufacturing process – an overview." Rapid Prototyping Journal 24, no. 7 (2018): 1166–77. http://dx.doi.org/10.1108/rpj-05-2017-0108.

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40

Kadkhoda-Ahmadi, Shervin, Alaa Hassan, and Elnaz Asadollahi-Yazdi. "Activity Modeling of Preliminary Additive Manufacturing Process Planning." Procedia CIRP 84 (2019): 874–79. http://dx.doi.org/10.1016/j.procir.2019.05.018.

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41

Häfele, Tobias, Jan-Henrik Schneberger, Jerome Kaspar, Michael Vielhaber, and Jürgen Griebsch. "Hybrid Additive Manufacturing – Process Chain Correlations and Impacts." Procedia CIRP 84 (2019): 328–34. http://dx.doi.org/10.1016/j.procir.2019.04.220.

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42

Megahed, Mustafa, Hans-Wilfried Mindt, Narcisse N’Dri, Hongzhi Duan, and Olivier Desmaison. "Metal additive-manufacturing process and residual stress modeling." Integrating Materials and Manufacturing Innovation 5, no. 1 (2016): 61–93. http://dx.doi.org/10.1186/s40192-016-0047-2.

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43

Yao, Bing, Farhad Imani, and Hui Yang. "Markov Decision Process for Image-Guided Additive Manufacturing." IEEE Robotics and Automation Letters 3, no. 4 (2018): 2792–98. http://dx.doi.org/10.1109/lra.2018.2839973.

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44

Vandone, Ambra, Stefano Baraldo, and Anna Valente. "Multisensor Data Fusion for Additive Manufacturing Process Control." IEEE Robotics and Automation Letters 3, no. 4 (2018): 3279–84. http://dx.doi.org/10.1109/lra.2018.2851792.

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45

Xu, Xiaochi, Chaitanya Krishna Prasad Vallabh, Ajay Krishnan, Scott Volk, and Cetin Cetinkaya. "In-Process Thread Orientation Monitoring in Additive Manufacturing." 3D Printing and Additive Manufacturing 6, no. 1 (2019): 21–30. http://dx.doi.org/10.1089/3dp.2018.0135.

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46

Ríos, Sergio, Paul A. Colegrove, Filomeno Martina, and Stewart W. Williams. "Analytical process model for wire + arc additive manufacturing." Additive Manufacturing 21 (May 2018): 651–57. http://dx.doi.org/10.1016/j.addma.2018.04.003.

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47

Alkadi, Faez, Kyung-Chang Lee, Abdullateef H. Bashiri, and Jae-Won Choi. "Conformal additive manufacturing using a direct-print process." Additive Manufacturing 32 (March 2020): 100975. http://dx.doi.org/10.1016/j.addma.2019.100975.

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48

Newman, Stephen T., Zicheng Zhu, Vimal Dhokia, and Alborz Shokrani. "Process planning for additive and subtractive manufacturing technologies." CIRP Annals 64, no. 1 (2015): 467–70. http://dx.doi.org/10.1016/j.cirp.2015.04.109.

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49

Fan, Zongyue, and Bo Li. "Meshfree Simulations for Additive Manufacturing Process of Metals." Integrating Materials and Manufacturing Innovation 8, no. 2 (2019): 144–53. http://dx.doi.org/10.1007/s40192-019-00131-w.

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50

Yan, Wentao, Stephen Lin, Orion L. Kafka, et al. "Modeling process-structure-property relationships for additive manufacturing." Frontiers of Mechanical Engineering 13, no. 4 (2018): 482–92. http://dx.doi.org/10.1007/s11465-018-0505-y.

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