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Статті в журналах з теми "Metallic Additive Manufacturing":

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Jadhav, Nisha Ramesh. "Metallic Additive Manufacturing." International Journal for Research in Applied Science and Engineering Technology 10, no. 2 (February 28, 2022): 66–67. http://dx.doi.org/10.22214/ijraset.2022.40188.

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Abstract: As metallic additive manufacturing grew in many areas, many users have requested greater control over the systems, namely the ability to change the process parameters. The goal of this paper is to review the effects of major process parameters on the quality such as porosity, residual stress, and composition changes and materials properties like microstructure and microsegregation. In this article, we give an overview over the different kinds of metals specially steels in additive manufacturing processes and present their microstructures, their mechanical and corrosion properties, and their heat treatments and their application. Our aim is to detect the microstructures as well as the mechanical and electrochemical properties of metals specially the steels. Steels are subjected during additive manufacturing processing to time-temperature profiles which are very different from the conventional process. We do not describe in detail the additive manufacturing process parameters required to achieve dense parts. We discuss the impact of process parameters on the microstructure, where necessary.
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Costa, José, Elsa Sequeiros, Maria Teresa Vieira, and Manuel Vieira. "Additive Manufacturing." U.Porto Journal of Engineering 7, no. 3 (April 30, 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 technologies, it enables smaller overall costs and initial investment, more straightforward equipment parametrization, and production flexibility.This study aims to evaluate components produced by ME, or Fused Filament Fabrication (FFF), with different materials: Inconel 625, H13 SAE, and 17-4PH. The microstructure and mechanical characteristics of manufactured parts were evaluated, confirming the process effectiveness and revealing that this is an alternative for metal-based AM.
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Zhang, Chaoqun, Hongying Yu, Dongbai Sun, and Wen Liu. "Ultrasonic Additive Manufacturing of Metallic Materials." Metals 12, no. 11 (November 8, 2022): 1912. http://dx.doi.org/10.3390/met12111912.

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Prashanth, Konda, Sergio Scudino, Riddhi Chatterjee, Omar Salman, and Jürgen Eckert. "Additive Manufacturing: Reproducibility of Metallic Parts." Technologies 5, no. 1 (February 22, 2017): 8. http://dx.doi.org/10.3390/technologies5010008.

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Calignano, Flaviana. "Additive Manufacturing (AM) of Metallic Alloys." Crystals 10, no. 8 (August 15, 2020): 704. http://dx.doi.org/10.3390/cryst10080704.

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The introduction of metal additive manufacturing (AM) processes in industrial sectors, such as the aerospace, automotive, defense, jewelry, medical and tool-making fields, has led to a significant reduction in waste material and in the lead times of the components, innovative designs with higher strength, lower weight and fewer potential failure points from joining features [...]
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XIONG, FeiYu, JiaWei CHEN, ChenYang HUANG, and YanPing LIAN. "Numerical simulation on metallic additive manufacturing." SCIENTIA SINICA Physica, Mechanica & Astronomica 50, no. 9 (August 13, 2020): 090007. http://dx.doi.org/10.1360/sspma-2020-0182.

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Mohanty, Shalini, and Konda Gokuldoss Prashanth. "Metallic Coatings through Additive Manufacturing: A Review." Materials 16, no. 6 (March 14, 2023): 2325. http://dx.doi.org/10.3390/ma16062325.

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Metallic additive manufacturing is expeditiously gaining attention in advanced industries for manufacturing intricate structures for customized applications. However, the inadequate surface quality has inspired the inception of metallic coatings through additive manufacturing methods. This work presents a brief review of the different genres of metallic coatings adapted by industries through additive manufacturing technologies. The methodologies are classified according to the type of allied energies used in the process, such as direct energy deposition, binder jetting, powder bed fusion, hot spray coatings, sheet lamination, etc. Each method is described in detail and supported by relevant literature. The paper also includes the needs, applications, and challenges involved in each process.
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Sarker, Avik, Martin Leary, and Kate Fox. "Metallic additive manufacturing for bone-interfacing implants." Biointerphases 15, no. 5 (September 2020): 050801. http://dx.doi.org/10.1116/6.0000414.

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Zhang, Yi, Linmin Wu, Xingye Guo, Stephen Kane, Yifan Deng, Yeon-Gil Jung, Je-Hyun Lee, and Jing Zhang. "Additive Manufacturing of Metallic Materials: A Review." Journal of Materials Engineering and Performance 27, no. 1 (May 24, 2017): 1–13. http://dx.doi.org/10.1007/s11665-017-2747-y.

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Alabort, Enrique, Daniel Barba, and Roger C. Reed. "Design of metallic bone by additive manufacturing." Scripta Materialia 164 (April 2019): 110–14. http://dx.doi.org/10.1016/j.scriptamat.2019.01.022.

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Дисертації з теми "Metallic Additive Manufacturing":

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Coffigniez, Marion. "Additive manufacturing of 3D architectured metallic biomaterials by robocasting." Thesis, Lyon, 2021. http://www.theses.fr/2021LYSEI007.

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Au-delà de l'aspect de personnalisation qu'elle peut apporter au domaine médical, la fabrication additive donne aussi accès à l'élaboration de structures cellulaires. Ces structures, de porosité maîtrisée, permettent à la fois de moduler les propriétés mécaniques de l'objet, mais aussi de favoriser l'invasion cellulaire nécessaire en ingénierie tissulaire. Parmi les métaux communément utilisés en chirurgie orthopédique, les alliages de titane sont ceux présentant la rigidité la moins éloignée de celle de l'os. Cette étude porte donc sur l'élaboration de structures en Ti6-Al-4V, mais aussi en magnésium puisqu’il présente l'avantage d'être résorbable dans l'organisme. Les scaffolds sont obtenus par robocasting, procédé consistant à extruder, couche par couche une encre pâteuse constituée de poudre et de liant. Les structures sont ensuite déliantées et frittées à haute température pour atteindre leurs propriétés finales. Concernant les structures en Ti-6Al-4V, une étude paramétrique est effectuée pour évaluer les possibilités et les limites du procédé en termes de structures (et microstructures), de compositions chimiques et de propriétés mécaniques obtenues.Après optimisation, il est possible d'obtenir des pièces présentant deux niveaux de porosités interconnectées (microporosité intra-filament (interconnectée), bénéfique pour l'accroche cellulaire d'après la littérature, et macropores dessinées), gardant une limite d'élasticité spécifique supérieure à celle de l'os (105 MPa.cm³/g) et un module d'Young proche de celui de l'os (28-30 GPa). Un gradient de la porosité intra-filamentaire peut également être obtenu en faisant varier la taille de poudre au sein d’une seule et même pièce. Concernant le magnésium, un liant compatible avec la réactivité de la poudre (base éthanol) a pu être identifié et les premières étapes du procédé (impression, déliantage) sont donc tout à fait réalisables pour ce matériau. Toutefois, le frittage conventionnel du magnésium (pur) s'avère compliqué du fait de sa réactivité. Des alternatives de frittage sont donc étudiées (frittage en phase liquide, SPS)
Beyond the personalisation aspect that it can bring to the medical field, additive manufacturing also gives access to the elaboration of cellular structures. These structures, with controlled porosity, make it possible both to modulate the mechanical properties of the object and to promote the cellular invasion necessary in tissue engineering. Among the metals commonly used in orthopaedic surgery, titanium alloys are those with the rigidity least distant from that of bone. This study therefore focuses on the development of structures made of Ti6-Al-4V, but also of magnesium since it has the advantage of being resorbable in the body. The scaffolds are obtained by robocasting, a process consisting of extruding, layer by layer, a pasty ink made up of powder and binder. The structures have then to be debinded and sintered at high temperature to achieve their final properties. For Ti-6Al-4V structures, a parametric study is carried out to evaluate the possibilities and limits of the process in terms of structures (and microstructures), chemical compositions and mechanical properties obtained. After optimisation, it is possible to obtain parts with two levels of interconnected porosities (intra-filament (interconnected) microporosity, beneficial for cell adhesion according to the literature, and drawn macropores), keeping a specific yield strength higher than that of bone (105 MPa.cm³/g) and a Young's modulus close to that of bone (28-30 GPa). An intra-filament porosity gradient can also be obtained by varying the powder size within a single part. Concerning magnesium, a binder compatible with the reactivity of the powder (ethanol base) has been identified and the first steps of the process (printing, debinding) are therefore quite feasible for this material. However, conventional sintering of (pure) magnesium is complicated by its reactivity. Alternative sintering methods are therefore being investigated (liquid phase sintering, Spark Plasma Sintering)
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Karmakar, Mattias. "Additive Manufacturing Stainless Steel for Space Application." Thesis, Luleå tekniska universitet, Materialvetenskap, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-72901.

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El, Mouhib Sabrina. "Effect of Stainless Steel Additive Manufacturing On Heat Conductivity and Urea Deposition." Thesis, KTH, Materialvetenskap, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-287314.

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Hydroforming is the manufacturing process that Scania uses to produce exhaust pipes with complex shape and high durability.  Selective Laser Melting is the process used by designers to print prototype pipes and perform emissions tests before mass production. Results from previous tests at Scania showed superior performance of 3D printed pipes compared to hydroformed components during emissions test as the 3D printed pipes were able to transfer heat faster than hydroformed pipes.  To understand the reason behind this mismatch, the effect of selective laser melting parameters on energy density, relative density, grain size and thermal conductivity are investigated.  These properties have direct impact on heat transfer. Ten samples were fabricated using the same laser power and layer thickness but different combinations of scanning speed and hatch distance.   Samples were then subject to microstructural analysis using an optical microscope and average grain size measurement using image analysis software called Imagej. The  density  of  each  sample  was  measured  using  the  Archimedes  method. Moderate correlation is found between energy density and relative density. No ranking of the selective laser melting parameters with respect to forming the highest density was achieved because of the high uncertainties involved with the density measurement technique.  Thermal conductivity was measured us- ing the one dimensional heat flow equation with an appropriate experimental set up. Thermal conductivity seems to be more influenced by relative density and direction of printing layers than the energy density and grain size.  This conclusion is not statistically significant due to high uncertainty involved in the measurement of thermal conductivity.  More advanced and accurate tech- nologies need to be used in the future to measure both density and thermal conductivity in order to find the most suitable selective laser melting parameters for Scania’s prototype pipes. The findings of this research can be used as a foundation for future research related to urea deposition on 3D printed pipes.
Hydroforming är den tillverkningsprocess Scania använder för att producera avgasrör som har en komplex form och hög hållbarhet. Selektiv lasersmältning är den process som används av konstruktörer för att skriva ut prototyprör och utföra utsläppstester före massproduktion. Resultat från tidigare utsläppstes- ter på Scania visade en överlägsen prestanda för 3D-tryckta rör jämfört med hydroformade komponenter, eftersom 3D-tryckta rör kunde överföra värme snabbare än hydroformade rör. För att förstå orsaken bakom denna skillnad undersöks effekten av selektiva lasersmältningsparametrar som energitäthet, relativ densitet, kornstorlek och värmeledningsförmåga. Dessa egenskaper har direkt inverkan på värmeöverföringen. 10 prover tillverkades med samma laserkraft och skikttjocklek, men med olika  kombinationer  av  skanningshastighet  och  kläckavstånd.  Proverna  utsattes sedan för en mikrostrukturell analys med hjälp av ett optiskt mikroskop, samt genomsnittlig kornstorleksmätning med hjälp av bildanalysprogramvaran Imagej. Densiteten för varje prov mättes med Archimedesmetoden. Måttlig korrelation kunde identifieras mellan energitätheten och relativ densitet. Ingen rangordning av de selektiva lasersmältningsparametrarna med avseende på bildning av den högsta densiteten uppnåddes på grund av de höga osäkerhetsfaktorer som är involverade i densitetsmättekniken. Värmeledningsförmågan mättes med hjälp av den endimensionella värmeflödesekvationen, med en lämplig experimentell uppställning. Värmeledningsförmågan tycks påverkas mer av tryckskiktens relativa densitet och riktning än energidensiteten och kornstorleken. Denna slutsats är inte statistiskt signifikant på grund av hög osäkerhet i mätningen av värmeledningsförmåga. Mer avancerade och noggranna teknologier måste användas i framtiden för att mäta både densitet och värmeledningsförmåga, för att hitta de mest lämpliga selektiva lasersmältningsparametrarna för Scanias prototyprör.
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Gullapalli, Vikranth. "Study of Metal Whiskers Growth and Mitigation Technique Using Additive Manufacturing." Thesis, University of North Texas, 2015. https://digital.library.unt.edu/ark:/67531/metadc804972/.

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For years, the alloy of choice for electroplating electronic components has been tin-lead (Sn-Pb) alloy. However, the legislation established in Europe on July 1, 2006, required significant lead (Pb) content reductions from electronic hardware due to its toxic nature. A popular alternative for coating electronic components is pure tin (Sn). However, pure tin has the tendency to spontaneously grow electrically conductive Sn whisker during storage. Sn whisker is usually a pure single crystal tin with filament or hair-like structures grown directly from the electroplated surfaces. Sn whisker is highly conductive, and can cause short circuits in electronic components, which is a very significant reliability problem. The damages caused by Sn whisker growth are reported in very critical applications such as aircraft, spacecraft, satellites, and military weapons systems. They are also naturally very strong and are believed to grow from compressive stresses developed in the Sn coating during deposition or over time. The new directive, even though environmentally friendly, has placed all lead-free electronic devices at risk because of whisker growth in pure tin. Additionally, interest has occurred about studying the nature of other metal whiskers such as zinc (Zn) whiskers and comparing their behavior to that of Sn whiskers. Zn whiskers can be found in flooring of data centers which can get inside electronic systems during equipment reorganization and movement and can also cause systems failure.Even though the topic of metal whiskers as reliability failure has been around for several decades to date, there is no successful method that can eliminate their growth. This thesis will give further insights towards the nature and behavior of Sn and Zn whiskers growth, and recommend a novel manufacturing technique that has potential to mitigate metal whiskers growth and extend life of many electronic devices.
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Zavala, Arredondo Miguel Angel. "Diode area melting : use of high power diode lasers in additive manufacturing of metallic components." Thesis, University of Sheffield, 2017. http://etheses.whiterose.ac.uk/18953/.

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Additive manufacturing processes have been developed to a stage where they can now be used to manufacture net-shape high-value components. Selective Laser Melting (SLM) comprises of either a single or multiple deflected high energy fibre laser source(s) (e.g. 200 – 400 W each) to raster scan, melt and fuse layers of metallic powdered feedstock. The beam(s) is(are) deflected by a Scanning Galvo Mirror System and an F-theta lens is used to provide a flat field at the image plane of the scanning system. However, this deflected laser raster scanning methodology is high cost (addition of multiple high-power deflected lasers in SLM for increase productivity can suffer penalties of ~£170K for each additional laser), energy inefficient (wall-plug efficiency of typical SLM fibre laser sources ~50 % [1]) and encounters significant limitations on output productivity due to the rate of feedstock melting (e.g. typical theoretical build rate of SLM of stainless steel < 2.8 mm3/s (< 10cm3/min) [2]). This work details the development of a new additive manufacturing process known as Diode Area Melting (DAM) featuring multiple high efficient laser sources (i.e. > 60 % wall-plug efficiency [1]) with scalability potential (< £100 penalty per additional laser beam for increase productivity). This process utilises customised architectural arrays of low power laser diode emitters (i.e. ~5W laser power) for high speed parallel processing (theoretical build rate of scaled DAM of stainless steel > 2.8 mm3/s (> 10cm3/min)) of metallic feedstock. Individually addressable diode emitters are used to selectively melt feedstock from a pre-laid powder bed. The laser diodes operate at shorter laser wavelengths (808 nm) than conventional SLM fibre lasers (1064 nm) theoretically enabling more efficient energy absorption for specific materials [3][4]. The melting capabilities of the DAM process were tested for low melting point eutectic BiZn2.7 elemental powders, AlSi12 and higher temperature pre-alloyed 17-4 and 316L stainless steel powders. The process was shown to be capable of fabricating controllable geometric features with evidence of complete melting and fusion between multiple powder layers. This investigation presents a parametric analysis of the DAM process, identifying the effect of powder characteristics, laser beam profile, laser power and scan speed on the porosity of a single layer sample. Also presented is the effect of process energy density on melt pool depth (irradiated thermal energy penetration capable of achieving melting) on 316L stainless steel powder. An analysis of the density and the melt depth fraction of single layers is presented in order to identify the conditions that lead to the fabrication of fully dense DAM parts. Energy densities in excess of 86 J/mm3 were theorised as sufficient to enable processing of fully dense layers. Finally, this investigation presents the first work modelling the DAM process, detailing the unique thermal profiles experienced with the laser processed powder bed. Process optimisation is improved through modelling thermal temperature distribution, targeting processing conditions inducing full melting for variable powder layer thickness. In this work the developed thermal model simulates the processing of 316L stainless steel and is validated with experimental trials. Key findings that have been identified in the present research include the following: • Edge emitting diode laser modules featuring multiple ~5 W emitters, can be used directly in AM of metallic components. • Typical 808 nm diode lasers wavelength enables high laser absorption mechanisms in a metal powder-bed based AM process, which in turn allows the use of lower laser power (< 5 W) than the conventionally used in SLM (100-400 W). • Temperatures in excess of 1450 ºC can be reached in metallic powder beds (stainless steel) with < 5 W diode-laser spots using appropriate optical mechanisms to collimate and focus the low-quality beam (27º and 7º divergence in the fast and slow axis respectively) down to < 250 µm melting spots. • It has been identified the ability to near-net shape and process material with melt temperatures in excess of 1450 ºC (i.e. stainless steel powder) using multiple individually addressable and non-deflected low power diode laser beams in order to scan in parallel, selectively melting material from a powder bed. • DAM process parameters including laser beam profile (i.e. spot spacing and spot dimensions), particle size distribution (emissivity and conductivity of the powder), laser power and scan speed affect the porosity and melt-pool uniformity of DAM components. • An energy density of 86 J/mm3 can be theorised as the minimum required for fully dense DAM (stainless steel) components. • Effective melt area in DAM can be 6.67 % in excess of the actual spots size (i.e. 4.75 mm laser beam width has an effective melt width of 5.067 mm). • Temperature gradients and cooling rates during DAM processing of metallic feedstock are similar to optimised pre-heated SLM mechanisms with low residual stress formation.
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Hari, Vignesh. "Evaluating spreadability of metallic powders for powder bed fusion processes." Thesis, KTH, Materialvetenskap, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-283544.

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Additive  manufacturing  technologies  are  widely  used  in  aerospace,  space,  and  turbine industries. Parts can be manufactured directly by selectively adding materials layer-by-layer. A key aspect that is critical to the quality of the final component being manufactured is the powder characteristics. The prevailing powder characterisation techniques help in predicting the flowability of powders but do not relate to the spreading nature of the powder. To create high-quality thin layers of metal powder, it is essential to understand powder spreadability in powder bed-based additive manufacturing processes. The objective of this study was to create spreadability metrics using image analysis, mass analysis, and density analysis. A lab-scale experimental setup was constructed to replicate the powder bed-based additive manufacturing process. The impact of spreading speed and layer thickness on five different steel powders were studied using the suggested metrics. The metrics obtained powder rheometry and revolution powder analysis. The flowability parameters were compared to the spreadability analysis. Image analysis was shown to be efficient to predict the spreading nature of the powder when the processing parameters are varied. One metric, the convex hull ratio, was found to be high for  free-flowing  powders.  The  spread  area  of  free-flowing  powders  was  higher  than  the powders with poor flow properties. A mass-based analysis procedure shows that the ratio of mass deposited to the theoretical mass fluctuated in a systematic manner as a function of testing parameters  and  for  different  powders,  suggesting  that  the  mass  analysis  might  be  another potential   metric   to   assess   spreadability.   The   density-based   analysis   was   effective   in differentiating the layer density of different powders under various experimental conditions. It   is   expected   that   the   proposed   metrics   will   be   a   beginning   for  developing   further characterisation techniques. For example, the layer thickness could be studied by creating a homogenous  layer.  We  anticipate  these  metrics  to  be  used  to  develop  standardisation techniques for defining and quantifying powder spreadability, and thereby improve quality ofadditive manufacturing processes.
Additiv  tillverkning  är  teknologier  som  har  stor  uträckning  inom  flyg-,  rymd  och  turbin industrier. Delar kan bli tillverkade direkt genom att lagervis addera material på varandra. En nyckelaspekt som är kritisk till kvalitén av den slutgiltiga komponenten är egenskaperna hos pulvret. De allmänna teknikerna för pulverkarakterisering hjälper till att förutspå flytförmågan hos pulver men relaterar ej till dess spridningsförmåga. För att kunna skapa högkvalitativa skikt av  metallpulver  är  det  nödvändigt  att  förstå  pulvrets  spridningsförmåga  inom  pulverbädds baserade additiva tillverkningsprocesser. Målet  med denna studie var  att skapa ett mått för spridningsförmågan  genom  bild-  och  massanalys.  Ett  experimentellt  upplägg  i  labbskala konstruerades för att efterlikna en pulverbädds baserad additiv tillverkningsprocess. Effekten av bladets hastighet och lagrets tjocklek på fem olika pulver studerades genom användandet av de  föreslagna  mätetalen.  De  framtagna  mätetalen  jämfördes  sedan  med  existerande  pulver karakteriseringsmetoder  såsom  FT-4  Rheometer  och  pulver  analys  med  hjälp  av  roterande trumma. Slutligen så jämförs flytbarhets parametrarna med spridbarhets mätetalen. Det visar sig att bildanalysen är tillräckligt bra på att förutspå spridningsförmågan hos pulvret när  processparametrarna  låtes  vara  varierande.  Mer  specifikt  så  var  förhållandet  mellan pulvrets yta och det konvexa höljet stort för pulver som visar bra spridning. De framtagna procent  värden  från  massanalysdiagrammen  fluktuerar  vid  olika  processparametrar  hos  de olika  pulvren,  vilket  kan  betyda  att  massanalys  kan  vara  ett  potentiellt  sätt  för  att  mätta spridningsförmågan hos pulver. Det är förväntat att dessa föreslagna mätetal kommer vara början för utveckling av ytterligare karakteriseringstekniker. Till exempel, för att studera densiteten och tjockleken hos ett lager skulle man kunna skapa homogena lager. Vi förutser att dessa mätetal kommer att bli använda för att skapa standardiseringstekniker för att definiera och kvantifiera spridningsförmågan hos ett pulver och genom detta förbättra kvaliteten av den additiva tillverkningsprocessen.
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Jönsson, David, and Mir Kevci. "Geometrical accuracy of metallic objects produced with Additive or Subtractive Manufacturing: a comparative in-vitro study." Thesis, Malmö högskola, Odontologiska fakulteten (OD), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-19934.

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Syftet: Utvärdera produktionstolerans av objekt som producerats genom additiv framställningsteknik (AF) för användning inom tandvård, samt att jämföra denna teknik med subtraktiv framställningsteknik (SF) genom reverse engineering.Material och metod: Tio exemplar av två olika geometriska objekt framställdes från fem olika AF maskiner och en SF maskin. Objekt A efterliknar ett inlay, medan objekt B återspeglar en modell av en fyrledsbro. Alla objekt delades in i olika mätled; X, Y och Z. Mätningarna utfördes med validerade och kalibrerade instrument. Linjära avstånd mättes med ett digitalt skjutmått och hörnradie samt vinklar mättes med ett digitalt mikroskop.Resultat: Vare sig additiv eller subtraktiv framställning uppvisade en perfekt matchning till CAD-filen med hänsyn till de parametrar som utvärderades i denna studie. Standardavvikelsen gällande linjära mätningar för subtraktiv framställning uppvisade konsekventa resultat i alla led, med undantag för X- och Y-led för objektet A och i Y-led för objekt B. Samtliga additiva tillverkningsgrupper hade en konsekvent standardavvikelse i X- och Y-led, men inte i Z-led. Med avseende på hörnradiemätningar, hade SF gruppen i överlag bättre produktionsnoggrannhet för både objekt A och B medan AM grupperna var mindre noggranna.Konklusion: Med hänsyn till begränsningarna med denna in vitro studie, stödjer resultat hypotesen, med hänsyn till att AF hade en bättre förmåga att återskapa komplexa och små geometrier jämfört med SF. Samtidigt identifierades en bättre reproducerbarhet hos SF gällande enkla geometrier och linjära avstånd. Vidare studier krävs för att bekräfta dessa resultat.
Purpose: To evaluate the production tolerance of objects produced by additive manufacturing systems (AM) for usage in dentistry and to compare with subtractive manufacturing system (SM) through reverse engineering. Materials and methods: Ten specimens of two geometrical objects were produced by five different AM machines and one SM machine. Object A mimics an inlay-shaped object, meanwhile object B reflects a four-unit bridge model. All the objects were divided into different measuring-axis; X, Y and Z. Measurements were performed with validated and calibrated equipment. Linear distances were measured with a digital calliper while corner radius and angle were measured with a digital microscope. Results: None of the additive manufacturing or subtractive manufacturing groups presented a perfect match to the CAD-file regarding all parameters included in present study. Considering linear measurements, the standard deviation for subtractive manufacturing group were consistent in all axis, except for X- and Y-axis in object A and Y-axis for object B. Meanwhile additive manufacturing groups had a consistent standard deviation in X- and Y- axis but not in Z-axis. Regarding corner radius measurements, SM group overall had the best accuracy for both object A and B comparing to AM groups. Conclusion: Within the limitations of this in vitro study, results support the hypothesis, considering AM had preferable capability to re-create complex and small geometry compare to SM. Meanwhile, SM were superior producing simple geometry and linear distances. Further studies are required to confirm these results.
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Sjöström, Julia. "Linkage of Macro- and Micro-scale Modelling Tools for Additive Manufacturing." Thesis, KTH, Materialvetenskap, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-283603.

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Additive manufacturing methods for steel are competing against commercial production in an increasing pace. The geometry freedom together with the high strength and toughness due to extreme cooling rates make this method viable to use for high-performance components. The desirable material properties originate from the ultrafine grain structures. The production is often followed by a post hardening heat treatment to induce precipitation of other phases. The printing process does however bring several challenges such as cracking, pore formation, inclusions, residual stresses and distortions. It is therefore important to be able to predict the properties such as temperature evolution and residual stresses of the resulting part in order to avoid time consuming trial-and-error and unnecessary material waste. In order to link different parts and length scales of the process, the integrated computational materials engineering framework can be used where linkage tools couples results of different length scales. 18Ni300 maraging steel is a material that has been used extensively to produce parts by additive manufacturing, but there is still a wide scope for optimising the process and properties. In this thesis, the integrated computational materials engineering inspired framework is applied to link the process to the microstructure, which dictates the properties. Temperature evolution strongly influences the material properties, residual stresses and distortion in additive manufacturing. Therefore, simulations of temperature evolution for a selective laser melted 18Ni300 maraging steel have been performed by Simufact Additive and linked with the microstructure prediction tools in Thermo-Calc and DICTRA. Various printing parameters have been examined and resulting temperatures, cooling rates, segregations and martensitic start temperatures compared for different locations of the build part. Additionally, residual stresses and distortions were investigated in Simufact. It was found that higher laser energy density caused increased temperatures and cooling rates which generally created larger segregations of alloying elements and lower martensitic start temperatures at the intercellular region. There is however an impact from cooling rate and temperature independent of the energy density which makes energy density not an individual defining parameter for the segregations. By decreasing the baseplate temperature, lower temperatures below the martensitic start temperature were reached, enhancing martensite transformation. Primary dendrite arm spacing calculations were used to validate the cooling rates. The cell size corresponded well to literature of <1 μm. Distortions and residual stresses were very small. The calibration was based according to literature and need experimental values to be validated. The integrated framework demonstrated in this thesis provides an insight into the expected properties of the additively manufactured part which can decrease and replace trial-and-error methods.
dditiva tillverkningsmetoder för stål tävlar mot kommersiell produktion i en ökande takt. Geometrifriheten tillsammans med hög styrka och slagseghet på grund av extrema kylhastigheter gör den här metoden intressant att använda för högpresterande komponenter. De önskvärda materialegenskaperna härstammar från den ultrafina mikrostrukturen. Processen följs ofta av en värmebehandlande härdning för att inducera utskiljningar av andra faser. Printing processen innebär dock flertalet utmaningar som exempelvis sprickbildning, porer, inneslutningar, restspänningar och förvrängningar. Det är därför intressant och viktigt att förutspå egenskaper såsom temperaturutveckling och restspänningar av den slutgiltiga komponenten för att minska tidskrävande ”trial-and-error” och onödigt materialsvin. För att länka ihop olika delar och längdskalor av processen kan ”the integrated computational materials engineering” strukturen användas där länkverktyg kopplar ihop resultat av olika längdskalor. 18Ni300 maraging stål är ett material som har använts till additivt tillverkade produkter i hög utsträckning men det finns fortfarande mycket utrymme för optimering av processen och egenskaperna. I den här avhandlingen, den ”integrated computational materials engineering” inspirerade tillvägagångssättet används för att länka processen med mikrostrukturen, vilken bestämmer egenskaperna. Temperaturutveckling påverkar kraftigt materialegenskaper, restspänningar och deformation vid additiv tillverkning. Förutsägelse av temperatur för ett selektivt lasersmält 18Ni300 stål har därför genomförts i Simufact Additive och länkats med mikrostruktursförutsägande redskapen Thermo-Calc och DICTRA. Olika maskinparametrar har undersökts och efterföljande temperaturer, kylhastigheter, segregeringar och martensitiska starttemperaturer jämförts för olika delar av geometrin. Tilläggningsvis var även restspänningar och deformationer undersökta i Simufact. Det konstaterades att högre energidensitet för lasern orsakade högre temperaturer och kylhastighet vilket generellt skapade mer segregeringar av legeringsämnen och lägre martensitisk starttemperatur i de intercellulära områdena. Det är däremot en gemensam påverkan av kylhastighet och temperatur vilket gör att energidensitet inte är den enskilda bestämmande parametern över segregeringarna. Genom att sänka temperaturen på basplattan uppnåddes lägre temperaturer under den martensitiska starttemperaturen vilket förenklar den martensistiska omvandlingen. Beräkningar av primär dendritisk armlängd användes för att validera kylhastigheterna. Cellstorleken överensstämde bra med litteraturen på <1 μm. Deformationer och restspänningar var väldigt små. Kalibreringarna baserades på litteraturvärden och kräver experimentella värden för att valideras. Den integrerade strukturen  som demonstreras i den här avhandlingen förser en insikt i de förväntade egenskaperna av en additivt tillverkad del vilket kan minska och ersätta ”trial-and-error” metoder.
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Corona, Galvan Luis. "Prototypage rapide de pièces en acier : étude du dépôt de matière et d'énergie lors de la fusion à l'arc d'un fil par le procédé MIG-CMT." Thesis, Montpellier, 2018. http://www.theses.fr/2018MONTS062/document.

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Un banc d’essai spécialement dédié à la fabrication additive par une nouvelle technologie basée sur la fusion à l’arc électrique d’un fil métallique a été développé. Le procédé utilise une source de soudage à l’arc appelée Cold Metal Transfer (CMT) pour assurer la fusion contrôlée d’un fil métallique et le dépôt de gouttelettes de métal liquide, afin de produire par la superposition de cordons des pièces mécaniques. La technologie développée a été employée pour fabriquer des éprouvettes à partir d’un fil en acier faiblement alliés. L’influence des nombreux paramètres contrôlant la source de soudage à l’arc sur les mécanismes de fusion du fil et de transfert des gouttelettes de métal fondu pour former les cordons a été étudiée. Les cycles de fusion-transfert de métal liquide ont été analysés en particulier au regard des énergies générées durant chacune des phases du cycle. Cette connaissance a permis de trouver des réglages du procédé permettant d’accroître le taux de dépôt de métal en comparaison des réglages standards préenregistrés dans le microprocesseur du générateur de soudage CMT. Des murs constitués par la superposition d’un grand nombre de cordons ont ensuite été réalisés, et l’influence de l’ajout de nombreuses couches sur la géométrie des dépôts discutée. Finalement, une méthode de contrôle en ligne du procédé, basée sur le principe des cartes de contrôle, a été développée. Une étude approfondie des formes d’onde d’intensité et de tension représentatives du cycle de fusion/transfert avec le procédé CMT a permis d’identifier les caractéristiques les plus pertinentes pour détecter, à partir d’une carte de contrôle, une dérive du procédé pouvant conduire à l’apparition de défauts géométriques
A test bench specially dedicated to additive manufacturing by a new technology based on the electric arc melting of a metallic wire has been developed. This technology uses an electric arc welding process called Cold Metal Transfer (CMT) as energy source to ensure the controlled melting of the wire and the deposition of liquid metal droplets to produce mechanical parts by superposing weld beads. The developed technology was used to make specimens from a low alloyed steel wire. The influence of the many parameters controlling the arc welding source on the mechanism of wire melting and transfer of molten metal droplets to form weld beads was studied. The melting-transfer cycles of liquid metal were analyzed in particular with special interest in the energies generated during each of the cycle phases. This knowledge has made possible to find different process settings for increasing the metal deposition rate compared to the pre-recorded standard settings in the microprocessor of the CMT welding generator. Walls consisting of the superposition of a large number of weld beads were then made, and the influence of the addition of many layers on the geometry of the deposits were discussed. Finally, a method of online control of the process, based on the principle of control charts, has been developed. A detailed study of the representative waveforms of current and voltage of the melting / transfer cycle with the CMT process has allowed to identify the most relevant characteristics for detecting, from a control chart, a deviation on the process that may lead to the appearance of geometrical defects
10

Boissier, Mathilde. "Coupling structural optimization and trajectory optimization methods in additive manufacturing." Thesis, Institut polytechnique de Paris, 2020. http://www.theses.fr/2020IPPAX084.

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Cette thèse porte sur l’optimisation des trajectoires de lasage pour la fabrication additive sur lit de poudre, ainsi que leur lien avec la géométrie de la pièce à construire. L’état de l’art est principalement constitué par des trajectoires basées sur des motifs, dont l’impact sur les propriétés mécaniques des objets finaux est quantifié. Cependant, peu d’analyses permettent de relier leur pertinence à la forme de la pièce elle-même. Nous proposons dans ce travail une approche systématique visant à optimiser la trajectoire sans restriction a priori. Le problème d’optimisation consiste à fusionner la structure en évitant de surchauffer (ce qui induirait des contraintes résiduelles) tout en minimisant le temps de fabrication. L’équation d’état est donc l’équation de la chaleur, dont le terme source dépend de la trajectoire. Deux modèles 2-d sont proposés pour contrôler la température : l’un transitoire et le second stationnaire (pas de dépendance en temps). Basés sur des techniques d’optimisation de forme pour le stationnaire et sur des outils de contrôle pour le transitoire, des algorithmes d’optimisation sont développés. Les applications numériques qui en découlent permettent une analyse critique des différents choix effectués. Afin de laisser plus de liberté dans la conception, l’algorithme stationnaire est adapté à la modification du nombre de composantes connexes de la trajectoire lors de l’optimisation. Deux méthodes sont comparées. Dans la première, la puissance de la source est ajoutée aux variables d’optimisation et un algorithme impliquant une relaxation-pénalisation et un contrôle de la variation totale est proposé. Dans la seconde, la notion de dérivation topologique est adaptée à la source. Enfin, dans le cadre stationnaire, nous détaillons le couplage de l’optimisation de la forme de la pièce, pour améliorer ses performances mécaniques, et de la trajectoire de lasage. Ce problème multiphysique ouvre des perspectives d'applications et de généralisations futures
This work investigates path planning optimization for powder bed fusion additive manufacturing processes, and relates them to the design of the built part. The state of the art mainly studies trajectories based on existing patterns and, besides their mechanical evaluation, their relevance has not been related to the object’s shape. We propose in this work a systematic approach to optimize the path without any a priori restriction. The typical optimization problem is to melt the desired structure, without over-heating (to avoid thermally induced residual stresses) and possibly with a minimal path length. The state equation is the heat equation with a source term depending on the scanning path. Two physical 2-d models are proposed, involving temperature constraint: a transient and a steady state one (in which time dependence is removed). Based on shape optimization for the steady state model and control for the transient model, path optimization algorithms are developed. Numerical results are then performed allowing a critical assessment of the choices we made. To increase the path design freedom, we modify the steady state algorithm to introduce path splits. Two methods are compared. In the first one, the source power is added to the optimization variables and an algorithm mixing relaxation-penalization techniques and the control of the total variation is set. In a second method, notion of topological derivative are applied to the path to cleverly remove and add pieces. eventually, in the steady state, we conduct a concurrent optimization of the part’s shape and of the scanning path. This multiphysics optimization problem raises perspectives gathering direct applications and future generalizations

Книги з теми "Metallic Additive Manufacturing":

1

Adaskin, Anatoliy, Aleksandr Krasnovskiy, and Tat'yana Tarasova. Materials science and technology of metallic, non-metallic and composite materials:the technology of manufacturing blanks and parts. Book 2. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1143897.

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Book 2 presents the technologies for manufacturing blanks and parts from metal materials: casting, welding, pressure treatment and cutting. The basics of electroplating technology are given. The technologies of manufacturing parts from non-metallic materials are considered: plastics, rubber, glass, as well as composite materials. The technologies combining the production of composite materials and parts from them are shown. The textbook is supplemented with two chapters reflecting the trends in the development of technology and technology (chapter 28 " Nanostructured materials. Features. Technologies for obtaining. Areas of application", chapter 29 "Additive manufacturing"). Meets the requirements of the federal state educational standards of higher education of the latest generation. For bachelors and undergraduates studying in enlarged groups of training areas 15.00.00 "Mechanical Engineering" and 22.00.00 "Materials Technologies". It can be used for training graduate students of machine-building specialties, as well as for advanced training of engineering and technical workers of machine-building enterprises.
2

Additive Manufacturing (AM) of Metallic Alloys. MDPI, 2020. http://dx.doi.org/10.3390/books978-3-03943-141-0.

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3

Joshi, Shrikant, Joel Andersson, and Robert Pederson. Additive Manufacturing of High-Performance Metallic Materials. Elsevier, 2023.

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Joshi, Shrikant, Joel Andersson, and Robert Pederson. Additive Manufacturing of High-Performance Metallic Materials. Elsevier, 2023.

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5

Gu, Dongdong. Laser Additive Manufacturing of Metallic Materials and Components. Elsevier, 2022.

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6

Gu, Dongdong. Laser Additive Manufacturing of Metallic Materials and Components. Elsevier, 2022.

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7

Additive Manufacturing—Nondestructive Testing—Intentionally Seeding Flaws in Metallic Parts. 100 Barr Harbor Drive, PO Box C700, West Conshohocken, PA 19428-2959: ASTM International, 2022. http://dx.doi.org/10.1520/iso/astmtr52906-eb.

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8

Rafique, Muhammad Musaddique Ali. Bulk Metallic Glasses and Their Composites: Additive Manufacturing and Modeling and Simulation. de Gruyter GmbH, Walter, 2021.

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9

Rafique, Muhammad Musaddique Ali. Bulk Metallic Glasses and Their Composites: Additive Manufacturing and Modeling and Simulation. de Gruyter GmbH, Walter, 2021.

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10

Rafique, Muhammad Musaddique Ali. Bulk Metallic Glasses and Their Composites: Additive Manufacturing and Modeling and Simulation. de Gruyter GmbH, Walter, 2021.

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Частини книг з теми "Metallic Additive Manufacturing":

1

Joshi, Sanjay, Richard P. Martukanitz, Abdalla R. Nassar, and Pan Michaleris. "Metallic Feedstock." In Additive Manufacturing with Metals, 383–426. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-37069-4_14.

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2

Marandi, Lakhindra, and Indrani Sen. "Effect of process parameters on mechanical properties of additively manufactured metallic systems." In Additive Manufacturing, 1–19. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003258391-1.

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3

Warton, James, Rajeev Dwivedi, and Radovan Kovacevic. "Additive Manufacturing of Metallic Alloys." In Robotic Fabrication in Architecture, Art and Design 2014, 147–61. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04663-1_10.

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4

Yin, Shuo, and Rocco Lupoi. "Cold Sprayed Nanostructured Metallic Deposits." In Springer Tracts in Additive Manufacturing, 135–51. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-73367-4_7.

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5

Yang, Gaoqiang, Zheng Chen, Yaji Huang, Jingke Mo, Zhenye Kang, and Feng-Yuan Zhang. "Thermal Analysis During Metallic Additive Manufacturing." In Advanced Materials for Multidisciplinary Applications, 237–64. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-39404-1_9.

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6

Joshi, Sanjay, Richard P. Martukanitz, Abdalla R. Nassar, and Pan Michaleris. "Properties and Characteristics of Metallic Materials Produced Using Additive Manufacturing." In Additive Manufacturing with Metals, 591–632. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-37069-4_20.

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7

Singh, Davinder, Talwinder Singh, and Sandeep Singh. "Corrosion Performance of Additively Manufactured Metallic Biomaterials: A Review." In Additive Manufacturing of Bio-implants, 127–36. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-6972-2_8.

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8

Sankara Narayanan, T. S. N., and Hyung Wook Park. "Surface Finishing Post-treatments for Additive Manufactured Metallic Components." In Springer Tracts in Additive Manufacturing, 161–88. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-89401-6_8.

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9

Yin, Shuo, and Rocco Lupoi. "Cold Sprayed Metallic Glass and High Entropy Alloy Deposits." In Springer Tracts in Additive Manufacturing, 153–65. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-73367-4_8.

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10

Kumar, V., B. K. Roy, and A. Mandal. "Multi-Wire-Arc Additive Manufacturing (M-WAAM) of Metallic Components." In Futuristic Manufacturing, 91–126. London: CRC Press, 2023. http://dx.doi.org/10.1201/9781003270027-6.

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Тези доповідей конференцій з теми "Metallic Additive Manufacturing":

1

Fortuna, S. V., A. V. Filippov, E. A. Kolubaev, A. S. Fortuna, and D. A. Gurianov. "Wire feed electron beam additive manufacturing of metallic components." In PROCEEDINGS OF THE ADVANCED MATERIALS WITH HIERARCHICAL STRUCTURE FOR NEW TECHNOLOGIES AND RELIABLE STRUCTURES. Author(s), 2018. http://dx.doi.org/10.1063/1.5083335.

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Graf, M., K. P. Pradjadhiana, A. Hälsig, Y. H. P. Manurung, and B. Awiszus. "Numerical simulation of metallic wire arc additive manufacturing (WAAM)." In PROCEEDINGS OF THE 21ST INTERNATIONAL ESAFORM CONFERENCE ON MATERIAL FORMING: ESAFORM 2018. Author(s), 2018. http://dx.doi.org/10.1063/1.5035002.

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3

Sandeep, Kuriakose, Parenti Paolo, Cataldo Salvatore, and Annoni Massimiliano. "Micromilling of Metallic Feedstock Produced by Extrusion Additive Manufacturing." In WCMNM 2018 World Congress on Micro and Nano Manufacturing. Singapore: Research Publishing Services, 2018. http://dx.doi.org/10.3850/978-981-11-2728-1_92.

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4

Kiener, Lionel, Hervé Saudan, Florent Cosandier, Gérald Perruchoud, Vaclav Pejchal, Julien Rouvinet, Florent Boudoire, and Nikola Kalentics. "Validation of compliant mechanisms made by metallic Additive Manufacturing." In Advances in Optical and Mechanical Technologies for Telescopes and Instrumentation V, edited by Roland Geyl and Ramón Navarro. SPIE, 2022. http://dx.doi.org/10.1117/12.2629199.

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5

Yihong, Kok, S. B. Tor, and N. H. Loh. "Comparison of Two Metallic Additive Manufacturing Technologies: Selective Laser Melting and Electron Beam Melting." In 1st International Conference on Progress in Additive Manufacturing. Singapore: Research Publishing Services, 2014. http://dx.doi.org/10.3850/978-981-09-0446-3_033.

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6

Li, Zongchen, Andre Gut, Iurii Burda, Silvain Michel, Dejan Romancuk, and Christian Affolter. "The Role of an Individual Lack-of-Fusion Defect in the Fatigue Performance of Additive Manufactured Ti-6Al-4V Part." In 2022 International Additive Manufacturing Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/iam2022-94120.

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Abstract Additive manufacturing techniques have made AM Ti-6Al-4V parts a reality in many industries. However, despite the optimism, their poor fatigue performance especially in high cycle regime is the major hurdle for the industry accepting it as mainstream. One of the reasons owes to the widely distributed internal defects inherent to the AM process, which create a hotbed for fatigue crack initiation. Available investigations on lack of fusions, regarded as the most detrimental defects, are very limited. Regarding this, we conducted finite element analysis to evaluate the fatigue performance of Ti-6Al-4V alloys with an individual lack-of-fusion defect. Three different lack-of-fusion defects, directly scanned from Selective Laser Melting Ti-6Al-4V coupons using Micro-Computed Tomography with different geometry features, have been numerically analyzed. We compare the mechanical results (e.g., stress, strain, and elastic stress concentration factors) of the lack-of-fusion defects to the results of gas-entrapped pores, which share the same height and the same volume, to reveal the detriment of lack-of-fusion defects. Furthermore, we conduct a parametric study on lack-of-fusion defects orientation and size, as well as the aspect ratios. The results provide a better understanding of the mechanical behavior of the lack-of-fusion defects in additive manufactured Ti-6Al-4V alloys, paving the way for further research of additive manufactured metallic alloys.
7

Dapino, Marcelo J. "Smart Structure Integration Through Ultrasonic Additive Manufacturing." In ASME 2014 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/smasis2014-7710.

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Ultrasonic additive manufacturing (UAM), a form of 3D printing based on ultrasonic metal welding, allows for room-temperature fabrication of adaptive structures with seamlessly embedded sensors and actuators. UAM combines solid-state welding of metallic foils, automated additive foil layering, and CNC machining. The most recent UAM systems utilize 9 kW of ultrasonic power for improved build strength and quality over low power systems, leading to previously unfeasible smart structures. Current UAM efforts in this area are focused on embedding smart materials, fiber optics, and cooling channels into metallic matrices. Since UAM process temperatures do not exceed one half of the melting temperature of the matrix, various alloys such as NiTi and FeGa, and polymers such as PVDF, have been successfully embedded without degradation of the smart material or the matrix. This paper aims to demonstrate the benefits of UAM, with particular emphasis on smart components for vehicle design. Example concepts include stiffness-tunable structures, thermally invariant composites, and materials with embedded cooling channels.
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Wang, Zhuo, Pengwei Liu, Zhen Hu, and Lei Chen. "Simulation-Based Process Optimization of Metallic Additive Manufacturing Under Uncertainty." In ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/detc2019-97492.

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Abstract The presence of various uncertainty sources in metal-based additive manufacturing (AM) process prevents producing AM products with consistently high quality. Using electron beam melting (EBM) of Ti-6A1-4V as an example, this paper presents a data-driven framework for process parameters optimization using physics-informed computer simulation models. The goal is to identify a robust manufacturing condition that allows us to constantly obtain equiaxed materials microstructures under uncertainty. To overcome the computational challenge in the robust design optimization under uncertainty, a two-level data-driven surrogate model is constructed based on the simulation data of a validated high-fidelity multi-physics AM simulation model. The robust design result, indicating a combination of low preheating temperature, low beam power and intermediate scanning speed, was acquired enabling the repetitive production of equiaxed-structure products as demonstrated by physics-based simulations. Global sensitivity analysis at the optimal design point indicates that among the studied six noise factors, specific heat capacity and grain growth activation energy have largest impact on the microstructure variation.
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Choi, Shinhyuk, Zhi Zhao, Jiawei Zuo, Jing Bai, Yu Yao, and Chao Wang. "3D Color Printing by Additive Manufacturing of Metallic Thin Films." In CLEO: Science and Innovations. Washington, D.C.: Optica Publishing Group, 2022. http://dx.doi.org/10.1364/cleo_si.2022.sth4p.8.

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We demonstrate a new structural color printing technology for micro-scaled images based on polymer-assisted photochemical metal deposition (PPD), a room-temperature, ambient, and additive manufacturing process without requiring any heating, vacuum deposition or etching steps.
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Waddell, Taylor, Zheng Wang, Rayne Zheng, and Hayden Taylor. "Manufacturing of metallic components via computed axial lithography and hydrogel infusion additive manufacturing." In Advanced Fabrication Technologies for Micro/Nano Optics and Photonics XVII, edited by Georg von Freymann, Eva Blasco, and Debashis Chanda. SPIE, 2024. http://dx.doi.org/10.1117/12.3009478.

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Звіти організацій з теми "Metallic Additive Manufacturing":

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Slattery, Kevin. Unsettled Aspects of Insourcing and Outsourcing Additive Manufacturing. SAE International, October 2021. http://dx.doi.org/10.4271/epr2021023.

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Additive manufacturing (AM), also known as “3D printing,” has transitioned from concepts and prototypes to part-for-part substitution—and now to the creation of part geometries that can only be made using AM. As a wide range of mobility OEMs begin to introduce AM parts into their products, the question between insourcing and outsourcing the manufacturing of AM parts has surfaced. Just like parts made using other technologies, AM parts can require significant post-processing operations. Therefore, as AM supply chains begin to develop, the sourcing of AM part building and their post-processing becomes an unsettled and important issue. Unsettled Aspects of Insourcing and Outsourcing Additive Manufacturing discusses the approaches and trade-offs of the different sourcing options for production hardware for multiple scenarios, including both metallic and polymer technologies and components.
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Todorov, Evgueni, Roger Spencer, Sean Gleeson, Madhi Jamshidinia, and Shawn M. Kelly. America Makes: National Additive Manufacturing Innovation Institute (NAMII) Project 1: Nondestructive Evaluation (NDE) of Complex Metallic Additive Manufactured (AM) Structures. Fort Belvoir, VA: Defense Technical Information Center, June 2014. http://dx.doi.org/10.21236/ada612775.

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Tekalur, Arjun, Jacob Kallivayalil, Jason Carroll, Mike Killian, Benjamin Schultheis, Anil Chaudhary, Zackery McClelland, Jeffrey Allen, Jameson Shannon, and Robert Moser. Additive manufacturing of metallic materials with controlled microstructures : multiscale modeling of direct metal laser sintering and directed energy deposition. Engineer Research and Development Center (U.S.), July 2019. http://dx.doi.org/10.21079/11681/33481.

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Rios, Orlando, Balasubramaniam Radhakrishnan, George Caravias, and Matthew Holcomb. Additive Manufacturing/Diagnostics via the High Frequency Induction Heating of Metal Powders: The Determination of the Power Transfer Factor for Fine Metallic Spheres. Office of Scientific and Technical Information (OSTI), March 2015. http://dx.doi.org/10.2172/1224158.

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Slattery, Kevin. Unsettled Topics on Surface Finishing of Metallic Powder Bed Fusion Parts in the Mobility Industry. SAE International, January 2021. http://dx.doi.org/10.4271/epr2021001.

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Laser and electron-beam powder bed fusion (PBF) additive manufacturing (AM) technology has transitioned from prototypes and tooling to production components in demanding fields such as medicine and aerospace. Some of these components have geometries that can only be made using AM. Initial applications either take advantage of the relatively high surface roughness of metal PBF parts, or they are in fatigue, corrosion, or flow environments where surface roughness does not impose performance penalties. To move to the next levels of performance, the surfaces of laser and electron-beam PBF components will need to be smoother than the current as-printed surfaces. This will also have to be achieve on increasingly more complex geometries without significantly increasing the cost of the final component. Unsettled Topics on Surface Finishing of Metallic Powder Bed Fusion Parts in the Mobility Industry addresses the challenges and opportunities of this technology, and what remains to be agreed upon by the industry.
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(Archived), Irina Ward, and Farah Abu Saleh. PR-473-144506-R01 State of the Art Alternatives to Steel Pipelines. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), December 2017. http://dx.doi.org/10.55274/r0011459.

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This report is a literature review of several non-metallic material systems often used as alter-natives to steel pipelines. The pipeline systems reviewed are high density polyethylene (HDPE), fiberglass reinforced plastic (FRP), flexible composite and thermoplastic liners. This report is not intended to be a detailed guide or design manual on the use of the referenced materials for pipeline applications, rather an overall evaluation on the current state of these systems. Significant industry literature and documentation already exists on the design, manufacturing, installation, and operation of these pipelines. This information currently resides in pipe manufacturer's manuals and various industry standards and guides published by organizations such as ASTM International (ASTM), American Petroleum Institute (API) American Water Works Association (AWWA), and International Organization for Standardization (ISO). In Canada, the oil and gas industry pipeline code, CSA Z662-2015 (Canadian Standards Association, 2015). Users should frequently consult the manufacturers of the pipe products in use or under consideration for use for clarification and suggestions regarding the best practices, considerations and applications of the materials in question. In addition, pipeline operators should be aware of the applicable regulatory requirements in the jurisdictions they are operating within.

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