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Relevant bibliographies by topics / Process parameters during AM

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Academic literature on the topic 'Process parameters during AM'

Author: Grafiati

Published: 4 June 2021

Last updated: 5 February 2022

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Journal articles on the topic "Process parameters during AM"

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Gujba, Abdullahi K., and Mamoun Medraj. "Power Ultrasonic Additive Manufacturing: Process Parameters, Microstructure, and Mechanical Properties." Advances in Materials Science and Engineering 2020 (February 28, 2020): 1–17. http://dx.doi.org/10.1155/2020/1064870.

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Additive manufacturing (AM) for fabricating 3D metallic parts has recently received considerable attention. Among the emerging AM technologies is ultrasonic additive manufacturing (UAM) or ultrasonic consolidation (UC), which uses ultrasonic vibrations to bond similar or dissimilar materials to produce 3D builds. This technology has several competitive advantages over other AM technologies, which includes fabrication of dissimilar materials and complex shapes, higher deposition rate, and fabrication at lower temperatures, which results in no material transformation during processing. Although

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Grossi, Niccolò, Antonio Scippa, Giuseppe Venturini, and Gianni Campatelli. "Process Parameters Optimization of Thin-Wall Machining for Wire Arc Additive Manufactured Parts." Applied Sciences 10, no. 21 (2020): 7575. http://dx.doi.org/10.3390/app10217575.

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Additive manufacturing (AM) is an arising production process due to the possibility to produce monolithic components with complex shapes with one single process and without the need for special tooling. AM-produced parts still often require a machining phase, since their surface finish is not compliant with the strict requirements of the most advanced markets, such as aerospace, energy, and defense. Since reduced weight is a key requirement for these parts, they feature thin walls and webs, usually characterized by low stiffness, requiring the usage of low productivity machining parameters. Th

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Lee, Won-Hyuk, Tae-Wook Na, Kyung-Woo Yi, et al. "Thermodynamic analysis of oxidation during selective laser melting of pure titanium." Rapid Prototyping Journal 26, no. 8 (2020): 1401–4. http://dx.doi.org/10.1108/rpj-08-2019-0226.

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Purpose When a pure titanium component is fabricated in a selective laser melting (SLM) process using titanium powder, the oxygen concentration of the SLM sample increases compared to the initial powder. The purpose of this paper is to study the reason for increasing oxygen concentration after SLM. Design/methodology/approach To understand this phenomenon, the authors analyzed the oxidation behavior during the SLM process thermodynamically. Findings Based on the laser parameters used in this study, the temperature of the Ti melt during the SLM process was expected to rise to 2,150°C. Based on

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Ameen, Wadea, Muneer Khan Mohammed, and Abdulrahman Al-Ahmari. "Evaluation of Support Structure Removability for Additively Manufactured Ti6Al4V Overhangs via Electron Beam Melting." Metals 9, no. 11 (2019): 1211. http://dx.doi.org/10.3390/met9111211.

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The addition of support structures is essential for the successful fabrication of overhang structures through additive manufacturing (AM). The support structures protect the overhang portion from distortions. They are fabricated with the functional parts and are removed later after the fabrication of the AM part. While structures bearing insufficient support result in defective overhangs, structures with excessive support result in higher material consumption, time and higher post-processing costs. The objective of this study is to investigate the effects of design and process parameters of su

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Heisel, U., and D. Albrecht. "Bearbeitungskräfte beim Bandsägen dynamisch messen*/Dynamic measurement of the processing forces during band-sawing - A holistic investigation of the sawing process." wt Werkstattstechnik online 105, no. 01-02 (2015): 35–40. http://dx.doi.org/10.37544/1436-4980-2015-01-02-37.

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Um die Standzeit von Sägebändern zu verlängern und die Schnittqualität am Werkstück zu erhöhen, ist das Wissen über den Einfluss der relevanten Parameter auf den Sägeprozess entscheidend. Bisher gibt es keine weitreichenden Untersuchungen zum Erfassen der gesamten Prozesskräfte beim Bandsägen. Daher wurde am Institut für Werkzeugmaschinen (IfW) der Universität Stuttgart eine Messeinrichtung zur detaillierten Untersuchung der Parameter Zerspankraft, Werkstückspannkraft, Sägebandspannung und Sägebandauslenkung während des Sägeprozesses entwickelt. &nbsp; To increase the tool life of saw band

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Chen, Shu Guang, Yi Du Zhang, Qiong Wu, and Han Jun Gao. "Effects of Substrate Parameters on the Residual Stress and Deflection of Ti-6Al-4V Walls in Additive Manufacturing Process." Materials Science Forum 976 (January 2020): 156–61. http://dx.doi.org/10.4028/www.scientific.net/msf.976.156.

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Given substrate parameters affect the heat transfer during additive manufacturing (AM) deposition process, the precision and residual stress of the component will also be affected. Such effect is an important aspect that should be considered but has not been reported. Thus, this paper presents a three-dimensional thermo-mechanical finite element model to study the effects of substrate parameters on the residual stress of Ti-6Al-4V walls during the AM process. The thermal and deflection histories and residual stress profile with different substrate parameters were investigated. Results show tha

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Klingvall Ek, Rebecca, Lars-Erik Rännar, Mikael Bäckstöm, and Peter Carlsson. "The effect of EBM process parameters upon surface roughness." Rapid Prototyping Journal 22, no. 3 (2016): 495–503. http://dx.doi.org/10.1108/rpj-10-2013-0102.

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Purpose The surface roughness of products manufactured using the additive manufacturing (AM) technology of electron beam melting (EBM) has a special characteristic. Different product applications can demand rougher or finer surface structure, so the purpose of this study is to investigate the process parameters of EBM to find out how they affect surface roughness. Design/methodology/approach EBM uses metal powder to manufacture metal parts. A design of experiment plan was used to describe the effects of the process parameters on the average surface roughness of vertical surfaces. Findings The

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Ahmed, Sazzad H., and Ahsan Mian. "Influence of Material Property Variation on Computationally Calculated Melt Pool Temperature during Laser Melting Process." Metals 9, no. 4 (2019): 456. http://dx.doi.org/10.3390/met9040456.

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Selective Laser Melting (SLM) is a popular additive manufacturing (AM) method where a laser beam selectively melts powder layer by layer based on the building geometry. The melt pool peak temperature during build process is an important parameter to determine build quality of a fabricated component by SLM process. The melt pool temperature depends on process parameters including laser power, scanning speed, and hatch space as well as the properties of the build material. In this paper, the sensitivity of melt pool peak temperature during the build process to temperature dependent material prop

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Greco, Sebastian, Sonja Kieren-Ehses, Benjamin Kirsch, and Jan C. Aurich. "Micro milling of additively manufactured AISI 316L: impact of the layerwise microstructure on the process results." International Journal of Advanced Manufacturing Technology 112, no. 1-2 (2020): 361–73. http://dx.doi.org/10.1007/s00170-020-06387-3.

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AbstractIn the field of metal additive manufacturing (AM), one of the most used methods is selective laser melting (SLM)—building components layer by layer in a powder bed via laser. The process of SLM is defined by several parameters like laser power, laser scanning speed, hatch spacing, or layer thickness. The manufacturing of small components via AM is very difficult as it sets high demands on the powder to be used and on the SLM process in general. Hence, SLM with subsequent micromilling is a suitable method for the production of microstructured, additively manufactured components. One app

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Razavykia, Abbas, Eugenio Brusa, Cristiana Delprete, and Reza Yavari. "An Overview of Additive Manufacturing Technologies—A Review to Technical Synthesis in Numerical Study of Selective Laser Melting." Materials 13, no. 17 (2020): 3895. http://dx.doi.org/10.3390/ma13173895.

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Additive Manufacturing (AM) processes enable their deployment in broad applications from aerospace to art, design, and architecture. Part quality and performance are the main concerns during AM processes execution that the achievement of adequate characteristics can be guaranteed, considering a wide range of influencing factors, such as process parameters, material, environment, measurement, and operators training. Investigating the effects of not only the influential AM processes variables but also their interactions and coupled impacts are essential to process optimization which requires hug

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Dissertations / Theses on the topic "Process parameters during AM"

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Antonysamy, Alphons Anandaraj. "Microstructure, texture and mechanical property evolution during additive manufacturing of Ti6Al4V alloy for aerospace applications." Thesis, University of Manchester, 2012. https://www.research.manchester.ac.uk/portal/en/theses/microstructure-texture-and-mechanical-property-evolution-during-additive-manufacturing-of-ti6al4v-alloy-for-aerospace-applications(03c4d403-822a-4bfd-a0f8-ef49eb65e7a0).html.

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Additive Manufacturing (AM) is an innovative manufacturing process which offers near-net shape fabrication of complex components, directly from CAD models, without dies or substantial machining, resulting in a reduction in lead-time, waste, and cost. For example, the buy-to-fly ratio for a titanium component machined from forged billet is typically 10-20:1 compared to 5-7:1 when manufactured by AM. However, the production rates for most AM processes are relatively slow and AM is consequently largely of interest to the aerospace, automotive and biomedical industries. In addition, the solidifica

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Mohammadiha, Nasser. "Measuring the geometrical parameters of steel billets during the molding process by image processing." Thesis, Sharif University of Technology, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-42595.

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In this project we present a machine vision system to measure the geometrical parametersand dimensional defects of steel billets (blooms/slabs). Geometrical parameters includewidth, height and length and dimensional defects include camber, rhomboid difference andtorsion. The system has been equipped with a color camera, an industrial computer andother peripheral equipments such as lens, Ethernet Cat-5 cable and camera housing. Digitalimage processing techniques have been used to analyze the single view images. To do so,the image is enhanced first and then it is reregistered with a constant bac

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Hayagrivan, Vishal. "Additive manufacturing : Optimization of process parameters for fused filament fabrication." Thesis, KTH, Lättkonstruktioner, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-238184.

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An obstacle to the wide spread use of additive manufacturing (AM) is the difficulty in estimating the effects of process parameters on the mechanical properties of the manufactured part. The complex relationship between the geometry, parameters and mechanical properties makes it impractical to derive an analytical relationship and calls for the use of a numerical model. An approach to formulate a numerical model in developed in this thesis. The AM technique focused in this thesis is fused filament fabrication (FFF). A numerical model is developed by recreating FFF build process in a simulation

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Muwanguzi, Abraham Judah Bumalirivu. "Investigating the parameters that influence the behaviour of natural iron ores during the iron production process." Doctoral thesis, KTH, Tillämpad processmetallurgi, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-123063.

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In the iron production processes, sinters and pellets are mostly used as raw materials due to their consistency with respect to physical and chemical properties. However, natural iron ores, as mined, are rarely used directly as a feed material for iron processing. This is mainly due to the fact that they have small contents of iron and high concentration of impurities. Moreover, they swell and disintegrate during the descent in the furnace as well as due to low melting and softening temperatures. This work involves an investigation of the parameters that influence the use of natural iron ores

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Patibandla, Sivani. "Layer-to-Layer Physical Characteristics and Compression Behavior of 3D Printed Acrylonitrile Butadiene Styrene Metastructures Fabricated using Different Process Parameters." Wright State University / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=wright1547231646016662.

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Whip, Bo Ryan. "Effect of Process Parameters on the Surface Roughness and Mechanical Performance of Additively Manufactured Alloy 718." Wright State University / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=wright1526993831680976.

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Collinge, Susan Kay Fortier. "Influence of Processing Parameters on Nutrient Recovery During Ultrafiltration of Milk and Meltability of Pasteurized Process Cheese Food made from the Retentate." DigitalCommons@USU, 1989. https://digitalcommons.usu.edu/etd/5362.

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Three batches of milk were ultrafiltered to 60, 65, or 70% volume reduction before diafiltration. Starting diafiltration at 70% volume reduction took less time and water without affecting nutrient recovery. Whole milk was heated to 60, 72, and 82°C for 16 s. Milk representing each heat treatment was divided into three batches, one unacidified (pH 6.6), the others acidified to pH 6.2 and 5.8. The milk was ultrafiltered, diafiltered, and concentrated to 5x (80% volume reduction). Retentate was inoculated with .5% lactic culture and incubated at 28°C to pH 5.1. Each lot of fermented retentate was

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Szczepaniak, Agnieszka Verfasser], Dierk [Akademischer Betreuer] [Raabe, and Jochen M. [Akademischer Betreuer] Schneider. "Investigation of intermetallic layer formation in dependence of process parameters during the thermal joining of aluminium with steel / Agnieszka Szczepaniak ; Dierk Raabe, Jochen Michael Schneider." Aachen : Universitätsbibliothek der RWTH Aachen, 2016. http://d-nb.info/113035234X/34.

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Szczepaniak, Agnieszka [Verfasser], Dierk [Akademischer Betreuer] Raabe, and Jochen M. [Akademischer Betreuer] Schneider. "Investigation of intermetallic layer formation in dependence of process parameters during the thermal joining of aluminium with steel / Agnieszka Szczepaniak ; Dierk Raabe, Jochen Michael Schneider." Aachen : Universitätsbibliothek der RWTH Aachen, 2016. http://d-nb.info/113035234X/34.

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Kernstock, Thomas [Verfasser], and A. [Akademischer Betreuer] Albers. "Ein Beitrag zur gezielten Reduktion des NVH-Phänomens Getrieberasseln über den gesamten Fahrzeugentwicklungsprozess am Beispiel eines Doppelkupplungsgetriebes = A contribution to the targeted reduction of the NVH phenomenon gear rattle during the entire vehicle development process at the example of a dual clutch transmission / Thomas Kernstock ; Betreuer: A. Albers." Karlsruhe : KIT-Bibliothek, 2021. http://d-nb.info/1235072533/34.

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Books on the topic "Process parameters during AM"

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Tenney, James. META Meta ⌿ Hodos. Edited by Larry Polansky, Lauren Pratt, Robert Wannamaker, and Michael Winter. University of Illinois Press, 2017. http://dx.doi.org/10.5406/illinois/9780252038723.003.0007.

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James Tenney introduces a number of propositions, along with corresponding definitions and comments, concerning perceptual organization, musical parameters, formal perception and description, and entropy as a measure of variation. Among these propositions are: temporal gestalt-units (TGs) are formed at several different hierarchical levels during the process of musical perception; the perceptual formation of TGs at any hierarchical level is determined by a number of factors of cohesion and segregation, the most important of which are proximity and similarity; pitch, timbre, and (musical) time

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Claussen, Martin, Anne Dallmeyer, and Jürgen Bader. Theory and Modeling of the African Humid Period and the Green Sahara. Oxford University Press, 2017. http://dx.doi.org/10.1093/acrefore/9780190228620.013.532.

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There is ample evidence from palaeobotanic and palaeoclimatic reconstructions that during early and mid-Holocene between some 11,700 years (in some regions, a few thousand years earlier) and some 4200 years ago, subtropical North Africa was much more humid and greener than today. This African Humid Period (AHP) was triggered by changes in the orbital forcing, with the climatic precession as the dominant pacemaker. Climate system modeling in the 1990s revealed that orbital forcing alone cannot explain the large changes in the North African summer monsoon and subsequent ecosystem changes in the

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Ross, Stephen J. Invisible Terrain. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198798385.001.0001.

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In his debut collection, Some Trees (1956), John Ashbery poses a question that resonates across his oeuvre and much modern art: “How could he explain to them his prayer / that nature, not art, might usurp the canvas?” When Ashbery asks this strange question, he joins a host of transatlantic avant-gardists—from the Dadaists to the 1960s neo-avant-gardists and beyond—who have dreamed the paradoxical dream of turning art into nature. Invisible Terrain examines Ashbery’s poetic mediation of this fantasy, reading his work alongside an array of practitioners, from Wordsworth to Warhol, as an exempla

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Book chapters on the topic "Process parameters during AM"

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Klaassen-Broekema, N., and O. P. van Bijsterveld. "Changes in the Diagnostic Parameters During Keratoconjunctivitis Sicca (KCS) Therapy." In Pharmakotherapie am Auge. Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-77532-1_16.

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Jayakumar, K. "Optimization of Process Parameters During EDM on Inconel Alloy 625." In Lecture Notes in Mechanical Engineering. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-4745-4_77.

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Palanisamy, S., M. S. Dargusch, S. D. McDonald, and David H. StJohn. "The Influence of Process Parameters during Machining of Ti6Al4V Alloy." In Materials Science Forum. Trans Tech Publications Ltd., 2007. http://dx.doi.org/10.4028/0-87849-462-6.159.

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Kumar, Anshuman, K. Abhishek, K. Vivekananda, and Chandramani Upadhyay. "Experimental Study and Optimization of Process Parameters During WEDM Taper Cutting." In Advances in Intelligent Systems and Computing. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1595-4_57.

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Poszwa, Przemysław, Paweł Brzęk, and Ilya Gontarev. "Influence of Processing Parameters on Clamping Force During Injection Molding Process." In Lecture Notes in Mechanical Engineering. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-16943-5_26.

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Chengareddy, P., S. Arumugam, G. Sriram, and M. Bhanu Prakash. "Optimization of Effective Process Parameters During Pentaerythritol Ester Production Using Taguchi Technique." In Springer Proceedings in Materials. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6267-9_64.

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Bhatt, Jaydeep B., Ravi J. Bhatt, Harit K. Raval, and Keyur P. Desai. "Effect of Operating Parameters on Forces During Backward Flow Forming Process for AA6061." In Lecture Notes in Mechanical Engineering. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-9117-4_14.

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He, Youfeng, Xiaojing Xu, Fan Zhang, Daquan Li, Stephen Midson, and Qiang Zhu. "Influence of Process Parameters on Blistering during T6 Heat Treatment of Semi-Solid Castings." In Shape Casting: 5th International Symposium 2014. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-48130-2_4.

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He, Youfeng, Xiaojing Xu, Fan Zhang, Daquan Li, Stephen Midson, and Qiang Zhu. "Influence of Process Parameters on Blistering During T6 Heat Treatment of Semi-Solid Castings." In Shape Casting: 5th International Symposium 2014. John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781118888100.ch4.

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Vaneetveld, G., Ahmed Rassili, and H. V. Atkinson. "Influence of Parameters during Induction Heating Cycle of 7075 Aluminium Alloys with RAP Process." In Solid State Phenomena. Trans Tech Publications Ltd., 2008. http://dx.doi.org/10.4028/3-908451-59-0.719.

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Conference papers on the topic "Process parameters during AM"

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Walker, Jason, Mohammad Elahinia, and Christoph Haberland. "An Investigation of Process Parameters on Selective Laser Melting of Nitinol." In ASME 2013 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/smasis2013-3074.

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Nitinol’s superelastic and shape memory effects can be used in passive or active actuation systems. Often used in the aerospace industry, the use of Nitinol for actuation is also growing in the biomedical fields and elsewhere. However, the industry currently lacks the ability to produce complex Nitinol actuators, which is strictly limiting its potential. The extreme difficulty of machining Nitinol complicates manufacturing processes. Furthermore, the transformation temperatures which drive Nitinol’s unique behavior are extremely sensitive to the relative concentrations of nickel and titanium.

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Joyee, Erina Baynojir, and Yayue Pan. "Investigation of a Magnetic-Field-Assisted Stereolithography Process for Printing Functional Part With Graded Materials." In 2020 International Symposium on Flexible Automation. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/isfa2020-9650.

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Abstract Additive manufacturing (AM) has many advantages over traditional fabrication techniques, especially for manufacturing sophisticated structures with intricate architecture. Most AM techniques however are often limited to single material with homogeneous properties. To incorporate multi-functionality in AM fabricated parts, researchers have recently paid much attention to multi-material AM techniques which allow locally programmed material properties. Challenges still remain to manipulate material during AM process for getting desired functionalities in fabricated parts. In this study,

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Meem, Asma Ul Hosna, Kyle Rudolph, Allyson Cox, Austin Andwan, Timothy Osborn, and Robert Lowe. "Impact of Process Parameters on the Tensile Properties of DLP Additively Manufactured ELAST-BLK 10 UV-Curable Elastomer." In ASME 2021 16th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/msec2021-64002.

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Abstract Digital light processing (DLP) is an emerging vatphotopolymerization-based 3D-printing technology where full layers of photosensitive resin are irradiated and cured with projected ultraviolet (UV) light to create a three-dimensional part layer-by-layer. Recent breakthroughs in polymer chemistry have led to a growing number of UV-curable elastomeric photoresins developed exclusively for vat photopolymerization additive manufacturing (AM). Coupled with the practical manufacturing advantages of DLP AM (e.g., industry-leading print speeds and sub-micron-level print resolution), these nove

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Yao, Xiling, Seung Ki Moon, and Guijun Bi. "The Additive Manufacturing Process Setting Feasible Space Exploration and Association With Variable Product Platform Design." In ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-46665.

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Additive manufacturing (AM) has evolved from prototyping to functional part fabrication for a wide range of applications. AM process settings have significant impact to both part quality and production cost, which makes the process setting adjustment a key consideration during product development and manufacturing. This research aims to investigate the relationship among process setting adjustments, costs, and component design parameters. Platform-based product family design and process family planning are used in this research as the strategy to provide product diversity while controlling cos

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Venkatesan, Uppili Srinivasan, and S. S. Pande. "Efficient Process Planning Strategies for Additive Manufacturing." In ASME 2017 12th International Manufacturing Science and Engineering Conference collocated with the JSME/ASME 2017 6th International Conference on Materials and Processing. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/msec2017-2666.

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This work reports the development of robust and efficient algorithms for optimum process planning of Additive Manufacturing (AM) processes needing support structures during fabrication. In particular, it addresses issues like part hollowing, support structure generation and optimum part orientation. Input to the system is a CAD model in STL format which is voxelized and hollowed using the 2D Hollowing strategy. A novel approach to design external as well as internal support structures for the hollowed model is developed considering the wall thickness and material properties. Optimum orientatio

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Amini, Mohammadhossein, and Shing Chang. "Process Monitoring of 3D Metal Printing in Industrial Scale." In ASME 2018 13th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/msec2018-6332.

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Metal 3D printing is one of the fastest growing additive manufacturing (AM) technologies in recent years. Despite the improvements and capabilities, reliable metal printing is still not well understood. One of the barriers of industrialization of metal AM is process monitoring and quality assurance of the printed product. These barriers are especially much highlighted in aerospace and medical device manufacturing industries where the high reliability and quality is needed. Selective Laser Melting (SLM) is one of the main metal 3D printing methods where it is known that more than 50 parameters

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Clares, Ana Paula, and Guha Manogharan. "Discrete-Element Simulation of Powder Spreading Process in Binder Jetting, and the Effects of Powder Size." In ASME 2021 16th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/msec2021-63351.

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Abstract Binder Jetting has gained particular interest amongst Additive Manufacturing (AM) techniques because of its wide range of applications, broader feasible material systems, and absence of rapid melting-solidification issues present in other AM processes. Understanding and optimizing printing parameters during the powder spreading process is essential to improve the quality of the final part. In this study, a Discrete Element Method (DEM) simulation is employed to evaluate the powder packing density, flowability, and porosity during powder spreading process utilizing three different powd

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Ning, Fuda, Weilong Cong, Zhenyuan Jia, Fuji Wang, and Meng Zhang. "Additive Manufacturing of CFRP Composites Using Fused Deposition Modeling: Effects of Process Parameters." In ASME 2016 11th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/msec2016-8561.

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Fused deposition modeling (FDM) is one of the attractive additive manufacturing (AM) technologies for rapid prototyping with complex structures in a short timeframe. Thermoplastics are currently used as common feedstocks to fabricate prototypes in FDM process. However, FDM-fabricated pure thermoplastic parts cannot be used as load-bearing parts in the actual applications due to their limited tensile strength. Such condition could be improved by developing carbon fiber reinforced plastic (CFRP) composites using FDM for potential industrial end users. It is crucial that proper selections of FDM

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Greco, Sebastian, Kevin Gutzeit, Hendrik Hotz, et al. "Influence of Machine Type and Powder Batch During Laser-Based Powder Bed Fusion (L-PBF) of AISI 316L." In ASME 2021 16th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/msec2021-60448.

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Abstract The use of additive manufacturing (AM) in industrial applications is steadily increasing due to its near net shape production and high design-freedom. For metallic components, laser-based powder bed fusion (L-PBF) is currently one of the most widely used AM processes. During L-PBF, a component is manufactured layer by layer from a powdery raw material. The process is controlled by a multitude of parameters like the laser power, scanning speed and layer thickness, whose combination significantly influences the properties of the components. In this study, the influence of the L-PBF mach

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Wang, Zhuo, Chen Jiang, Mark F. Horstemeyer, Zhen Hu, and Lei Chen. "Uncertainty Quantification in Metallic Additive Manufacturing Through Data-Driven Modelling Based on Multi-Scale Multi-Physics Models and Limited Experiment Data." In ASME 2020 15th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/msec2020-8379.

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Abstract One of significant challenges in the metallic additive manufacturing (AM) is the presence of many sources of uncertainty that leads to variability in microstructure and properties of AM parts. Consequently, it is extremely challenging to repeat the manufacturing of a high-quality product in mass production. A trial-and-error approach usually needs to be employed to attain a product with high quality. To achieve a comprehensive uncertainty quantification (UQ) study of AM processes, we present a physics-informed data-driven modeling framework, in which multi-level data-driven surrogate

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Reports on the topic "Process parameters during AM"

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Suranuntchai, Surasak, and Prarop Kritboonyarit. Limit Diagrams for Selecting Process Parameters to Prevent Defects Formation during Forward Bar Extrusion Using FEM. SAE International, 2005. http://dx.doi.org/10.4271/2005-32-0043.

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Henderson, Tim, Mincent Santucci, Tim Connors, and Justin Tweet. National Park Service geologic type section inventory: Chihuahuan Desert Inventory & Monitoring Network. National Park Service, 2021. http://dx.doi.org/10.36967/nrr-2285306.

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A fundamental responsibility of the National Park Service is to ensure that park resources are preserved, protected, and managed in consideration of the resources themselves and for the benefit and enjoyment by the public. Through the inventory, monitoring, and study of park resources, we gain a greater understanding of the scope, significance, distribution, and management issues associated with these resources and their use. This baseline of natural resource information is available to inform park managers, scientists, stakeholders, and the public about the conditions of these resources and t

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Henderson, Tim, Vincent Santucci, Tim Connors, and Justin Tweet. National Park Service geologic type section inventory: Northern Colorado Plateau Inventory & Monitoring Network. National Park Service, 2021. http://dx.doi.org/10.36967/nrr-2285337.

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A fundamental responsibility of the National Park Service (NPS) is to ensure that park resources are preserved, protected, and managed in consideration of the resources themselves and for the benefit and enjoyment by the public. Through the inventory, monitoring, and study of park resources, we gain a greater understanding of the scope, significance, distribution, and management issues associated with these resources and their use. This baseline of natural resource information is available to inform park managers, scientists, stakeholders, and the public about the conditions of these resources

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Henderson, Tim, Vincent Santucci, Tim Connors, and Justin Tweet. National Park Service geologic type section inventory: Klamath Inventory & Monitoring Network. National Park Service, 2021. http://dx.doi.org/10.36967/nrr-2286915.

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Abstract:

A fundamental responsibility of the National Park Service (NPS) is to ensure that park resources are preserved, protected, and managed in consideration of the resources themselves and for the benefit and enjoyment by the public. Through the inventory, monitoring, and study of park resources, we gain a greater understanding of the scope, significance, distribution, and management issues associated with these resources and their use. This baseline of natural resource information is available to inform park managers, scientists, stakeholders, and the public about the conditions of these resources

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