The financial support from Innovate UK, Ultra-light Car Bodies (UlCab, reference 101568) and Make it lighter, with less (LightBlank, reference 131818) are gratefully acknowledged. The research leading to these results has received funding from the European Union's Seventh Framework Program (FP7/2007-2013) under grant agreement No. 604240, project title 'An industrial system enabling the use of a patented, lab-proven materials processing technology for Low Cost forming of Lightweight structures for transportation industries (LoCoLite)'. Significant support was also received from the AVIC Centre for Structural Design and Manufacture at Imperial College London, which is funded by Aviation Industry Corporation of China (AVIC).

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The authors have nothing to disclose.

Die KBC-FE-Simulationsverfahren ermöglicht erweiterte Simulationen Website mit speziellen Modulen durchgeführt ausgeschaltet werden. Es kann Funktionsmodule auf einer Cloud-Umgebung ausführen, die Knoten aus unterschiedlichen Spezialisierungen verknüpfen, dass Prozesssimulationen, um sicherzustellen, so genau wie möglich durchgeführt werden. Die kritischen Aspekte bei der KBC-FE-Simulation kann independency der FE-Codes, die Effizienz der Berechnung und die Genauigkeit der Funktionsmodule beinhalten. Die Realisierung jedes erweiterte Funktion in einem Modul auf die Entwicklung eines neuen Modells und / oder eine neue experimentelle Technik würde verlassen. Zum Beispiel wird das Grenzformänderungsmodul auf dem neuen einheitlichen Grenzformänderungsvorhersagemodell 11 und das Reibwerkzeug Lebensdauervorhersagemodul zur Zeit durch die Implementierung des interaktiven Reibmodell 20 entwickelt worden entwickelt gegründet. Die KBC-FE Simulationstechnik bietet auch die Funktion der selektiven Berechnung, dh es werden nur die Elemente , die Auswahl der ErfüllungKriterien für die weitere Auswertung in den einzelnen Modulen ausgewählt. Zum Beispiel wählt die Werkzeuglebensdauer-Vorhersage-Modul automatisch die Elemente, für die die harte Beschichtung Aufschlüsselung neigt, durch die Reihung der Verschleißrate aller Elemente in dem ersten Formungszyklus, also in der Regel weniger als 1% der Elemente für die weitere ausgewählt werden Werkzeugstandzeit Auswertungen unter Multi-Cycle-Belastungsbedingungen. In der vorliegenden Forschung kann die Werkzeuglebensdauervorhersage nach 300 Formzyklen innerhalb von 5 Minuten abgeschlossen sein. Durch die Durchführung entsprechend den einschlägigen Tests und Kalibrierung könnte die Grenzformänderungsmodell zur Bildung von Prozesssimulationen angewendet werden, um somit die optimalen Parameter bestimmen, die für eine Komponente aus solchen Legierungen erfolgreich produzieren und ohne Auftreten von Einschnürung. Die Grenzformänderungsvorhersagemodell wurde als Cloud-Modul entwickelt, das unabhängig von der FE-Software war, genutzt werden und könnte zu einer FE-Software angewendet werden, um die Formbarkeit des Materials zu beurteilen währendBildung, ohne komplizierte Subroutinen 17. Durch die relevanten Daten in das Modell zu importieren, könnte Berechnungen durchgeführt werden, um zu bestimmen, ob Ausfall würde in Bereichen des Bauteils auftreten, die der Benutzer angeben können, auf Rechenressourcen zu sparen. Es sollte jedoch beachtet werden, dass, da die Spannungs-Dehnungskurven Eingabe in das FE-Software durch eine einfache Nachschlagetabelle sind, kann es schwierig sein, vollständig die Materialeigenschaften bei verschiedenen Temperaturen und Verformungsgeschwindigkeiten während der Simulation darstellen. In dem Standzeitvorhersagemodul kann das Reibungsverhalten beim Umformen durch Importieren der erforderlichen Verformungshistoriendaten in dem verifizierten Reibungsmodul 20 und dann die durch die Wolke Modul für jedes Element wieder in die Software FE berechneten diskreten Datenpunkten Import vorhergesagt werden. Dadurch wird sichergestellt, dass das erweiterte Reibungsmodul kann von allen FE-Codes verwendet werden, unabhängig von ihrer Fähigkeit, Benutzer-Subroutinen einzuarbeiten. Zusätzlich ist der module könnten parallel ausgeführt werden, um die Berechnungszeit weiter zu verringern. Die interaktive Reibung / Verschleiß - Modell angenommen , das Fehlen von Verschleißpartikel während des anfänglichen Schiebe-, und als Ergebnis, wäre es sinnvoll, einen konstanten Ausgangswert des Reibungskoeffizienten 0,17 20 zu erwarten. Obwohl dieses Modell die Entwicklung der Reibungsverteilung offenbart, ist das Reibungsverhalten während eines Umformprozesses sehr kompliziert, und es ist schwierig, vollständig die komplexen Reibungsverhalten aus der Wolke Modul in das FE-Simulation integrieren. Als Zukunftstechnologie wird die KBC-FE-Simulation auf die Entwicklung von engagierten und robusten Internet-basierte FE-Simulation Software-Pakete verlassen, die eine hoch profitable, aber völlig anderes Geschäftsmodell durch den Software-Entwicklern aufgebaut werden erfordern würde. Darüber hinaus muss ein spezielles internes Netzwerk innerhalb der kollaborativen Parteien errichtet werden, um die Datensicherheit und Zuverlässigkeit der Steuerung des industriellen Systems gewährleisten. </p&gt;

Finite Element (FE) simulations have become a powerful tool for optimizing process parameters in the metal forming industry. The reliability of FE simulation results is dependent on the accuracy of the material definition, input in the form of flow stress data or constitutive equations, and the assignment of the boundary conditions, such as the friction coefficient and the heat transfer coefficient. In the past few years, advanced FE simulations have been developed via the implementation of user-defined subroutines, which have significantly broadened the capability of FE software.
The use of such advanced FE simulations in the design of forming processes for structural components has been investigated by both the aviation and automotive industries, with the intention of producing lightweight structures that reduces operating costs and CO2 emissions. Particular focus has been placed on the replacement of steel components with lower density materials, such as aluminum alloys and magnesium alloys. However, these alloys, especially the stronger variants, offer limited formability at room temperature and thus complex-shaped components cannot be manufactured using the conventional cold stamping process. Therefore, advanced high temperature forming technologies, such as warm aluminum forming 1-4, hot stamping of aluminum alloys 5-9 and hot stamping of high strength steels 10, have been developed over the past decades to enable complex-shaped components to be formed. In general, high temperature forming processes involve significant temperature variations, strain rate and loading path changes 11, which would, for instance, cause inevitable viscoplastic and loading history dependent responses from the work piece materials. These are intrinsic features of high temperature forming processes and may be difficult to represent using conventional FE simulation techniques. Another desirable feature would be the ability to predict the tool life over multiple forming cycles in such processes, since they require low friction characteristics achieved through coatings that degrade with each forming operation. To represent all these features via the implementation of user-defined subroutines would be computationally very expensive. Moreover, the development and implementation of multiple subroutines would require excessive multi-disciplinary knowledge from an engineer conducting the simulations.
In the present work, a novel Knowledge Based Cloud FE (KBC-FE) simulation technique is proposed, based on the application of modules on a cloud computing environment, that enables an efficient and effective method of modeling advanced forming features in conjunction with conventional FE simulations. In this technique, data from the FE software is processed at each cloud module, and then imported back into the FE software in the relevant consistent format, for further processing and analysis. The development of these modules and their implementation in the KBC-FE is detailed.

<table border="1" fo:keep-together.within-page="1" fo:keep-with-next.within-page="always">
	<tbody>
		<tr>
			<td>AA6082-T6</td>
			<td>AMAG</td>
			<td></td>
			<td>Material</td>
		</tr>
		<tr>
			<td>AA5754-H111</td>
			<td>AMAG</td>
			<td></td>
			<td>Material</td>
		</tr>
		<tr>
			<td>&#160;1000 kN high-speed press</td>
			<td>ESH</td>
			<td></td>
			<td>Forming press</td>
		</tr>
		<tr>
			<td>ARGUS</td>
			<td>GOM</td>
			<td></td>
			<td>Optical forming analysis</td>
		</tr>
		<tr>
			<td>PAM-STAMP 2015</td>
			<td>ESI</td>
			<td></td>
			<td>FE simulation software</td>
		</tr>
		<tr>
			<td>Matlab&#160;</td>
			<td>MathWorks</td>
			<td></td>
			<td>Numerical calculation software</td>
		</tr>
		<tr>
			<td>Gleeble 3800</td>
			<td>DSI</td>
			<td></td>
			<td>Uniaxial tensile test</td>
		</tr>
		<tr>
			<td>High Temperature Tribometer (THT)</td>
			<td>Anton Paar</td>
			<td></td>
			<td>Friction property test</td>
		</tr>
		<tr>
			<td>NewViewTM 7100</td>
			<td>ZYGO</td>
			<td></td>
			<td>Surface profilometer</td>
		</tr>
		<tr>
			<td>&#160;Magnetron sputtering equipment</td>
			<td></td>
			<td></td>
			<td>Coating deposition</td>
		</tr>
		<tr>
			<td>Microhardness tester</td>
			<td>Wolpert Wilson Instruments</td>
			<td></td>
			<td></td>
		</tr>
		<tr>
			<td>Nano-hardness indenter&#160;</td>
			<td>MTS</td>
			<td></td>
			<td></td>
		</tr>
	</tbody>
</table>

knowledge based cloud fe simulation of sheet metal forming processes

The use of Finite Element (FE) simulation software to adequately predict the outcome of sheet metal forming processes is crucial to enhancing the efficiency and lowering the development time of such processes, whilst reducing costs involved in trial-and-error prototyping. Recent focus on the substitution of steel components with aluminum alloy alternatives in the automotive and aerospace sectors has increased the need to simulate the forming behavior of such alloys for ever more complex component geometries. However these alloys, and in particular their high strength variants, exhibit limited formability at room temperature, and high temperature manufacturing technologies have been developed to form them. Consequently, advanced constitutive models are required to reflect the associated temperature and strain rate effects. Simulating such behavior is computationally very expensive using conventional FE simulation techniques.
This paper presents a novel Knowledge Based Cloud FE (KBC-FE) simulation technique that combines advanced material and friction models with conventional FE simulations in an efficient manner thus enhancing the capability of commercial simulation software packages. The application of these methods is demonstrated through two example case studies, namely: the prediction of a material's forming limit under hot stamping conditions, and the tool life prediction under multi-cycle loading conditions.

KBC-FE - Simulation für Einschnürung Prediction In einem Heißprägeverfahren die Verwendung eines formoptimierten leer sparen Materialkosten nicht nur, sondern auch helfen, die Anwesenheit von Defekten, wie Einschnürung, Risse und Falten zu reduzieren. Die anfängliche Rohform beeinflußt den Materialfluss deutlich beim Umformen und somit eine sinnvolle Gestaltung der Rohform ist entscheidend für den Erfolg des Heißprägeverfahrens und die Qualität der Endprodukte. Um die Bemühungen der Trial-and-Error-Experimenten zu reduzieren, um zu bestimmen wurde die optimale Rohteilgeometrie, KBC-FE-Simulation unter Beweis gestellt, hocheffiziente und effektive Methode, um für die Bereiche minimiert wird mit Einschnürung. Unter Verwendung dieser Technik nimmt jeder Simulation etwa 2 Stunden, während die parallel Wolke Modul Berechnung für Einschnürung Prädiktion innerhalb von 4 Stunden abgeschlossen ist. 4 zeigt die Entwicklung der Rohform in der Heißpräge verwendet, ein Beispiel für Automobiltürinnenkomponente. Die anfängliche Rohform, von einem herkömmlichen Kaltprägeverfahren angenommen wurde, wurde zum ersten Mal in der KBC-FE-Simulation verwendet. Die experimentellen Ergebnisse in 4 (a) zeigen , dass große Versagen (Reißen oder Einschnürung) gut sichtbar sind nach der Warmumformung. Nach einer Iteration des Rohlings Formoptimierung, kann es in der 4 (b) zu sehen, dass ein fast vollständig erfolgreich Panel ist mit viel weniger Einschnürung gebildet wird , im Vergleich zu den anfänglichen Rohform verwendet wird . Es ist zu erkennen, dass es noch ein Hinweis auf in der oberen rechten und linken Ecken des Paneels an den Taschen Einschnürung. Nach weiteren Optimierung in 4 (c) wurde die optimierte Rohform schließlich ohne sichtbare Einschnürung auf der Platte erhalten. Die optimierte Rohteilform bestimmt durch die KBC-FE-Simulation wurde experimentell durch Heißprägen verifiziertVersuche auf einer vollautomatischen Produktionslinie von einem Produktionssystem Hersteller angeboten durchgeführt. KBC-FE - Simulation für Werkzeuglebensdauervorhersage Herkömmliche FE-Simulationen von Umformprozessen für einen einzigen Zyklus durchgeführt. Jedoch in einer Produktionsumgebung, mehrere Formzyklen auf einem gegebenen Werkzeuges durchgeführt wird, wenn festgestellt wird, dass eine Erhöhung der Anzahl der Formzyklen führt zu einer erhöhten Variation zwischen den Formteilen. Diese Variation bei der Multizykluswerkzeugbelastung ist das Ergebnis der Oberflächentopographie zu verändern. Zum Beispiel wird die Mehrzyklen-Beladung von Werkzeugen mit funktionellen Beschichtungen bilden eine Beschichtungsdickenreduzierung führen, aufgrund von Verschleiß. Darüber hinaus wird die Verteilung der die Beschichtung auch durch Bildung von Parametern, wie beispielsweise der Last / Druck, Bilden Geschwindigkeiten usw. Die KBC-FE - Technik ermöglicht die beeinflussbarSimulation von Blech Prozesse unter Mehrzyklen-Belastungsbedingungen bilden, die für die in-Lebensdauer-Vorhersage der Umformwerkzeuge mit erweiterten funktionellen Beschichtungen wesentlich ist. Um die Auswirkungen der Rohling-Haltekraft auf die Werkzeugstandzeit, leere Werte der Haltekraft von 5, 20 und 50 kN untersuchen wurden für eine konstante Bildungsgeschwindigkeit von 250 mm / s untersucht. Abbildung 5 zeigt die verbleibende Werkzeugschichtdickenverteilung mit unterschiedlichen Blechhaltekräfte nach 300 Zyklen bilden. Es zeigt deutlich, dass die verbleibende Schichtdicke nimmt mit einer Erhöhung der Rohlinghaltekraft. Abbildung 6 zeigt den Druck und die verbleibende Schichtdickenverteilung mit leeren Haltekräfte von 5, 20 und 50 kN bzw. entlang der gekrümmten Abstand der Düse nach 300 Zyklen bilden. Da der Bereich stellt AB die Matrize entrance Bereich während des Biegevorgangs U-Form, der Druck und die relative Verschleiß Abstand in dieser Region waren viel höher als andere Bereiche der Matrize. Folglich trat die Abnutzung der Beschichtung vor allem in diesem Bereich. Es gibt zwei Spitzenwerte von Beschichtungsdickenreduktion bei 20 kN und 50 kN, die auf die beiden Spitzen unter dem Druck entsprechen. Inzwischen nimmt die verbleibende Schichtdicke mit der Zunahme der Rohling-Haltekraft. Die niedrigsten Restschichtdicken mit leeren Haltekräfte von 5, 20 und 50 kN, waren 0,905, 0,570 und 0,403 &amp; mgr; m bzw. wo die anfängliche Schichtdicke 2,1 &amp; mgr; m war. <img alt="Abbildung 1" src="/files/ftp_upload/53957/53957fig1.jpg" /> Abbildung 1: Vergleich zwischen experimentellen und vorhergesagter Grenzformänderungs Stämme bei unterschiedlichen Temperaturen. Die Grenzformänderungsstämme erhöhen, wenn die Temperatur steigt, bei einer konstanten Geschwindigkeit von 250 mm/ s oder äquivalent einer Verformungsgeschwindigkeit von 6,26 s -1. <a href="https://www.jove.com/files/ftp_upload/53957/53957fig1large.jpg" target="_blank">Bitte klicken Sie hier</a> , um <a href="https://www.jove.com/files/ftp_upload/53957/53957fig1large.jpg" target="_blank">eine größere Version dieser Figur zu sehen.</a> <img alt="Figur 2" src="/files/ftp_upload/53957/53957fig2.jpg" /> Abbildung 2: Schemadiagramm für wissensbasierte Cloud - FE - Simulation eines Blechformprozess. Kommerzielle FE-Simulationssoftware wird verwendet, um die Simulation zu starten und die Ergebnisse für die einzelnen Module erforderlich exportieren. Die Module, zB Formbarkeit, Wärmeübertragung, Nachformung Festigkeit (Mikrostruktur), Werkzeuglebensdauervorhersage, Werkzeugdesign, etc. arbeiten gleichzeitig und unabhängig voneinander in der Cloud und ermöglicht somit die Integration von Rand Wissen aus mehreren Quellen in FE - Simulationen Schneiden . <a href="https://www.jove.com/files/ftp_upload/53957/53957fig2large.jpg" target="_blank">Bitte cl</a>ick hier eine größere Version dieser Figur zu sehen. <img alt="Figur 3" src="/files/ftp_upload/53957/53957fig3.jpg" /> Abbildung 3: Geometrie des Werkstücks und Werkzeuge für die U-Form Biegesimulation. Die Werkzeuge, das heißt, Punsch, Niederhalter und sterben, sind starre Elemente modelliert. Shell-Elemente sind für das Werkstück (leer) Elemente verwendet. <a href="https://www.jove.com/files/ftp_upload/53957/53957fig3large.jpg" target="_blank">Bitte klicken Sie hier</a> , um <a href="https://www.jove.com/files/ftp_upload/53957/53957fig3large.jpg" target="_blank">eine größere Version dieser Figur zu sehen.</a> <img alt="Abbildung 4" src="/files/ftp_upload/53957/53957fig4.jpg" /> Abbildung 4: Entwicklung der Rohform für die Warmumformung eines Türinnenplatte (in FE - Simulation angezeigt). Links: Die Zahlen in den grünen Rahmen repräsentieren leere Formen an jedem Optimierungsphase, und die, die in rotRahmen entsprechen der Rohform vor der Optimierung. Rechts: Die Querschnittsverminderung Prädiktionsergebnisse bei jeder Optimierungsphase. (A) Die ersten Ergebnisse mit großen Ausfall (Cracken / in roter Farbe dargestellt Einschnürung), (b) Verringerte Ausfall mit einigen Einschnürung nach der ersten Phase der Optimierung, (c) endgültige optimierte Rohteilform ohne sichtbare Einschnürung. <a href="https://www.jove.com/files/ftp_upload/53957/53957fig4large.jpg" target="_blank">Bitte klicken Sie hier</a> , um <a href="https://www.jove.com/files/ftp_upload/53957/53957fig4large.jpg" target="_blank">eine größere Version dieser Figur zu sehen.</a> <img alt="Abbildung 5" src="/files/ftp_upload/53957/53957fig5.jpg" /> Abbildung 5: Die verbleibende Schichtdickenverteilung (angezeigt in FE - Simulation) mit leeren Haltekräfte von: (a) 5 kN, (b) 20 kN, und (c) 50 kN, nach 300 Formzyklen bei einer konstanten Prägegeschwindigkeit von 250 mm / s. <a href="https://www.jove.com/files/ftp_upload/53957/53957fig5large.jpg" target="_blank">Bitte</a>hier klicken, um eine größere Version dieser Figur zu sehen. <img alt="Figur 6" src="/files/ftp_upload/53957/53957fig6.jpg" /> Abbildung 6: Vorhersage der Kontaktdruck und die Restschichtdicke mit leeren Haltekräfte von: (a) 5 kN, (b) 20 kN, und (c) 50 kN, entlang der krummlinige Abstand von der Düse mit einer konstanten Prägegeschwindigkeit von 250 mm / s. <a href="https://www.jove.com/files/ftp_upload/53957/53957fig6large.jpg" target="_blank">Bitte klicken Sie hier</a> , um <a href="https://www.jove.com/files/ftp_upload/53957/53957fig6large.jpg" target="_blank">eine größere Version dieser Figur zu sehen.</a>

Watch this Scientific Journal Video about Knowledge Based Cloud FE Simulation of Sheet Metal Forming Processes at JoVE.com

Knowledge Based Cloud FE Simulation of Sheet Metal Forming Processes

The following paper presents a novel FE simulation technique (KBC-FE), which reduces computational cost by performing simulations on a cloud computing environment, through the application of individual modules. Moreover, it establishes a seamless collaborative network between world leading scientists, enabling the integration of cutting edge knowledge modules into FE simulations.

Wissensbasierte Wolke FE Simulation von Blechumformprozessen

The use of Finite Element (FE) simulation software to adequately predict the outcome of sheet metal forming processes is crucial to enhancing the ...

knowledge-based-cloud-fe-simulation-of-sheet-metal-forming-processes

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12.0K Aufrufe.  Imperial College London. The following paper presents a novel FE simulation technique (KBC-FE), which reduces computational cost by performing simulations on a cloud computing environment, through the application of individual modules. Moreover, it establishes a seamless collaborative network between world leading scientists, enabling the integration of cutting edge knowledge modules into FE simulations.

Serie: Knowledge Based Cloud FE Simulation of Sheet Metal Forming Processes

Simulation, Fabrication and Characterization of THz Metamaterial Absorbers

Metamaterials (MM), artificial materials engineered to have properties that may not be found in nature, have been widely explored since the first theoretical1 and experimental demonstration2 of their unique properties. MMs can provide a highly controllable electromagnetic response, and to date have been demonstrated in every technologically relevant spectral range including the optical3, near IR4, mid IR5 , THz6 , mm-wave7 , microwave8 and radio9 bands. Applications include perfect lenses10, sensors11, telecommunications12, invisibility cloaks13 and filters14,15. We have recently developed single band16, dual band17 and broadband18 THz metamaterial absorber devices capable of greater than 80% absorption at the resonance peak. The concept of a MM absorber is especially important at THz frequencies where it is difficult to find strong frequency selective THz absorbers19. In our MM absorber the THz radiation is absorbed in a thickness of ~ &lambda;/20, overcoming the thickness limitation of traditional quarter wavelength absorbers. MM absorbers naturally lend themselves to THz detection applications, such as thermal sensors, and if integrated with suitable THz sources (e.g. QCLs), could lead to compact, highly sensitive, low cost, real time THz imaging systems.

This protocol outlines the simulation, fabrication and characterization of THz metamaterial absorbers. Such absorbers, when coupled with an appropriate sensor, have applications in THz imaging and spectroscopy.

Simulation, Herstellung und Charakterisierung von THz Metamaterial Absorber

Metamaterials (MM),  artificial materials engineered to have properties that may not be found in  nature, have been widely explored since the first ...

Forschung

Ingenieurwesen

Simulation of the Planetary Interior Differentiation Processes in the Laboratory

A planetary interior is under high-pressure and high-temperature conditions and it has a layered structure. There are two important processes that led to that layered structure, (1) percolation of liquid metal in a solid silicate matrix by planet differentiation, and (2) inner core crystallization by subsequent planet cooling. We conduct high-pressure and high-temperature experiments to simulate both processes in the laboratory. Formation of percolative planetary core depends on the efficiency of melt percolation, which is controlled by the dihedral (wetting) angle. The percolation simulation includes heating the sample at high pressure to a target temperature at which iron-sulfur alloy is molten while the silicate remains solid, and then determining the true dihedral angle to evaluate the style of liquid migration in a crystalline matrix by 3D visualization. The 3D volume rendering is achieved by slicing the recovered sample with a focused ion beam (FIB) and taking SEM image of each slice with a FIB/SEM crossbeam instrument. The second set of experiments is designed to understand the inner core crystallization and element distribution between the liquid outer core and solid inner core by determining the melting temperature and element partitioning at high pressure. The melting experiments are conducted in the multi-anvil apparatus up to 27 GPa and extended to higher pressure in the diamond-anvil cell with laser-heating. We have developed techniques to recover small heated samples by precision FIB milling and obtain high-resolution images of the laser-heated spot that show melting texture at high pressure. By analyzing the chemical compositions of the coexisting liquid and solid phases, we precisely determine the liquidus curve, providing necessary data to understand the inner core crystallization process.

The high-pressure and high-temperature experiments described here mimic planet interior differentiation processes. The processes are visualized and better understood by high-resolution 3D imaging and quantitative chemical analysis.

Simulation der Planeteninnendifferenzierungsprozesse im Labor

A planetary interior is under high-pressure and high-temperature conditions and it has a layered structure. There are two important processes that led to ...

Picoinjection of Microfluidic Drops Without Metal Electrodes

Existing methods for picoinjecting reagents into microfluidic drops require metal electrodes integrated into the microfluidic chip. The integration of these electrodes adds cumbersome and error-prone steps to the device fabrication process. We have developed a technique that obviates the needs for metal electrodes during picoinjection. Instead, it uses the injection fluid itself as an electrode, since most biological reagents contain dissolved electrolytes and are conductive. By eliminating the electrodes, we reduce device fabrication time and complexity, and make the devices more robust. In addition, with our approach, the injection volume depends on the voltage applied to the picoinjection solution; this allows us to rapidly adjust the volume injected by modulating the applied voltage. We demonstrate that our technique is compatible with reagents incorporating common biological compounds, including buffers, enzymes, and nucleic acids.

We have developed a technique for picoinjecting microfluidic drops that does not require metal electrodes. As such, devices incorporating our technique are simpler to fabricate and to use.

Picoinjection von Mikrofluidik-Tropfen ohne Metall-Elektroden

Existing methods for picoinjecting reagents into microfluidic drops require metal electrodes integrated into the microfluidic chip. The integration of ...

Selective Area Modification of Silicon Surface Wettability by Pulsed UV Laser Irradiation in Liquid Environment

The wettability of silicon (Si) is one of the important parameters in the technology of surface functionalization of this material and fabrication of biosensing devices. We report on a protocol of using KrF and ArF lasers irradiating Si (001) samples immersed in a liquid environment with low number of pulses and operating at moderately low pulse fluences to induce Si wettability modification. Wafers immersed for up to 4 hr in a 0.01% H2O2/H2O solution did not show measurable change in their initial contact angle (CA) ~75&#176;. However, the 500-pulse KrF and ArF lasers irradiation of such wafers in a microchamber filled with 0.01% H2O2/H2O solution at 250 and 65 mJ/cm2, respectively, has decreased the CA to near 15&#176;, indicating the formation of a superhydrophilic surface. The formation of OH-terminated Si (001), with no measurable change of the wafer&#8217;s surface morphology, has been confirmed by X-ray photoelectron spectroscopy and atomic force microscopy measurements. The selective area irradiated samples were then immersed in a biotin-conjugated fluorescein-stained nanospheres solution for 2 hr, resulting in a successful immobilization of the nanospheres in the non-irradiated area. This illustrates the potential of&#160;the method for selective area biofunctionalization and fabrication of advanced Si-based biosensing architectures. We also describe a similar protocol of irradiation of wafers immersed in methanol (CH3OH) using ArF laser operating at pulse fluence of 65 mJ/cm2 and in situ formation of a strongly hydrophobic surface of Si (001) with the CA of 103&#176;. The XPS results indicate ArF laser induced formation of Si&#8211;(OCH3)x compounds responsible for the observed hydrophobicity. However, no such compounds were found by XPS on the Si surface irradiated by KrF laser in methanol, demonstrating the inability of the KrF laser to photodissociate methanol and create -OCH3 radicals.

We report on a process of in situ alteration of HF treated Si (001) surface into a hydrophilic or hydrophobic state by irradiating samples in microfluidic chambers filled with&#160;H2O2/H2O solution (0.01%-0.5%) or methanol solutions using pulsed UV laser of a relative low pulse fluence.

Selektive Bereichsänderung des Siliziumoberfläche Benetzbarkeit durch gepulste UV-Laser-Bestrahlung in flüssigen Umgebung

The wettability of silicon (Si) is one of the important parameters in the technology of surface functionalization of this material and fabrication of ...

Visualizing Hyporheic Flow Through Bedforms Using Dye Experiments and Simulation

Advective exchange between the pore space of sediments and the overlying water column, called hyporheic exchange in fluvial environments, drives solute transport in rivers and many important biogeochemical processes. To improve understanding of these processes through visual demonstration, we created a hyporheic flow simulation in the multi-agent computer modeling platform NetLogo. The simulation shows virtual tracer flowing through a streambed covered with two-dimensional bedforms. Sediment, flow, and bedform characteristics are used as input variables for the model. We illustrate how these simulations match experimental observations from laboratory flume experiments based on measured input parameters. Dye is injected into the flume sediments to visualize the porewater flow. For comparison virtual tracer particles are placed at the same locations in the simulation. This coupled simulation and lab experiment has been used successfully in undergraduate and graduate laboratories to directly visualize river-porewater interactions and show how physically-based flow simulations can reproduce environmental phenomena. Students took photographs of the bed through the transparent flume walls and compared them to shapes of the dye at the same times in the simulation. This resulted in very similar trends, which allowed the students to better understand both the flow patterns and the mathematical model. The simulations also allow the user to quickly visualize the impact of each input parameter by running multiple simulations. This process can also be used in research applications to illustrate basic processes, relate interfacial fluxes and porewater transport, and support quantitative process-based modeling.

This manuscript describes how to create regular bedforms in a flume, visualize flow through the bedforms, and use computer simulations to simulate the hyporheic flow. The computer simulations compare well with the experimental observations. This coupled simulation and experiment is well-suited for both research and educational purposes.

Visualisierung wortlich Übermittlung über bedforms Mit Dye Experimente und Simulation

Advective exchange between the pore space of sediments and the overlying water column, called hyporheic exchange in fluvial environments, drives solute ...

Experimental Methods for Investigation of Shape Memory Based Elastocaloric Cooling Processes and Model Validation

Shape Memory Alloys (SMA) using elastocaloric cooling processes have the potential to be an environmentally friendly alternative to the conventional vapor compression based cooling process. Nickel-Titanium (Ni-Ti) based alloy systems, especially, show large elastocaloric effects. Furthermore, exhibit large latent heats which is a necessary material property for the development of an efficient solid-state based cooling process. A scientific test rig has been designed to investigate these processes and the elastocaloric effects in SMAs. The realized test rig enables independent control of an SMA&#39;s mechanical loading and unloading cycles, as well as conductive heat transfer between SMA cooling elements and a heat source/sink. The test rig is equipped with a comprehensive monitoring system capable of synchronized measurements of mechanical and thermal parameters. In addition to determining the process-dependent mechanical work, the system also enables measurement of thermal caloric aspects of the elastocaloric cooling effect through use of a high-performance infrared camera. This combination is of particular interest, because it allows illustrations of localization and rate effects &#8212; both important for efficient heat transfer from the medium to be cooled.
The work presented describes an experimental method to identify elastocaloric material properties in different materials and sample geometries. Furthermore, the test rig is used to investigate different cooling process variations. The introduced analysis methods enable a differentiated consideration of material, process and related boundary condition influences on the process efficiency. The comparison of the experimental data with the simulation results (of a thermomechanically coupled finite element model) allows for better understanding of the underlying physics of the elastocaloric effect. In addition, the experimental results, as well as the findings based on the simulation results, are used to improve the material properties.

Experimental methods for investigation of solid state cooling processes and characterization of elastocaloric material properties of Shape Memory Alloys (SMA) are presented. A custom-built test rig has been designed for controlling and comprehensive monitoring of elastocaloric cooling processes. Furthermore, it provides a validation platform for thermomechanically coupled modeling approaches.

Experimentelle Methoden zur Untersuchung von Formgedächtnis-Based Elastocaloric Kühlprozesse und Modellvalidierung

Shape Memory Alloys (SMA) using elastocaloric cooling processes have the potential to be an environmentally friendly alternative to the conventional vapor ...

Simulation of Human-induced Vibrations Based on the Characterized In-field Pedestrian Behavior

For slender and lightweight structures, vibration serviceability is a matter of growing concern, often constituting the critical design requirement. With designs governed by the dynamic performance under human-induced loads, a strong demand exists for the verification and refinement of currently available load models. The present contribution uses a 3D inertial motion tracking technique for the characterization of the in-field pedestrian behavior. The technique is first tested in laboratory experiments with simultaneous registration of the corresponding ground reaction forces. The experiments include walking persons as well as rhythmical human activities such as jumping and bobbing. It is shown that the registered motion allows for the identification of the time variant pacing rate of the activity. Together with the weight of the person and the application of generalized force models available in literature, the identified time-variant pacing rate allows to characterize the human-induced loads. In addition, time synchronization among the wireless motion trackers allows identifying the synchronization rate among the participants. Subsequently, the technique is used on a real footbridge where both the motion of the persons and the induced structural vibrations are registered. It is shown how the characterized in-field pedestrian behavior can be applied to simulate the induced structural response. It is demonstrated that the in situ identified pacing rate and synchronization rate constitute an essential input for the simulation and verification of the human-induced loads. The main potential applications of the proposed methodology are the estimation of human-structure interaction phenomena and the development of suitable models for the correlation among pedestrians in real traffic conditions.

A protocol is presented for the characterization of the in-field pedestrian behavior and the simulation of the resulting structural response. Field-tests demonstrate that the in situ identified pacing rate and synchronization rate among the participants constitute an essential input for the simulation and verification of the human-induced loads.

Simulation von Menschen verursachte Schwingungen Basierend auf dem Gekennzeichnet In-Bereich Fußgängerverhalten

For slender and lightweight structures, vibration serviceability is a matter of growing concern, often constituting the critical design requirement. With ...

Studying Dynamic Processes of Nano-sized Objects in Liquid using Scanning Transmission Electron Microscopy

Samples fully embedded in liquid can be studied at a nanoscale spatial resolution with Scanning Transmission Electron Microscopy (STEM) using a microfluidic chamber assembled in the specimen holder for Transmission Electron Microscopy (TEM) and STEM. The microfluidic system consists of two silicon microchips supporting thin Silicon Nitride (SiN) membrane windows. This article describes the basic steps of sample loading and data acquisition. Most important of all is to ensure that the liquid compartment is correctly assembled, thus providing a thin liquid layer and a vacuum seal. This protocol also includes a number of tests necessary to perform during sample loading in order to ensure correct assembly. Once the sample is loaded in the electron microscope, the liquid thickness needs to be measured. Incorrect assembly may result in a too-thick liquid, while a too-thin liquid may indicate the absence of liquid, such as when a bubble is formed. Finally, the protocol explains how images are taken and how dynamic processes can be studied. A sample containing AuNPs is imaged both in pure water and in saline.

This protocol describes the operation of a liquid flow specimen holder for scanning transmission electron microscopy of AuNPs in water, as used for the observation of nanoscale dynamic processes.

Studium dynamischer Prozesse von Nano-Größe Objekte in Liquid Scanning Transmission Electron Micros mit

Samples fully embedded in liquid can be studied at a nanoscale spatial resolution with Scanning Transmission Electron Microscopy (STEM) using a ...

Study of Siphon Breaker Experiment and Simulation for a Research Reactor

Under the design conditions of a research reactor, the siphon phenomenon induced by pipe rupture can cause continuous outward flow of water. To prevent this outflow, a control device is required. A siphon breaker is a type of safety device that can be utilized to control the loss of coolant water effectively.
To analyze the characteristics of siphon breaking, a real-scale experiment was conducted. From the results of the experiment, it was found that there are several design factors that affect the siphon breaking phenomenon. Therefore, there is a need to develop a theoretical model capable of predicting and analyzing the siphon breaking phenomenon under various design conditions. Using the experimental data, it was possible to formulate a theoretical model that accurately predicts the progress and the result of the siphon breaking phenomenon. The established theoretical model is based on fluid mechanics and incorporates the Chisholm model to analyze two-phase flow. From Bernoulli&#39;s equation, the velocity, quantity, undershooting height, water level, pressure, friction coefficient, and factors related to the two-phase flow could be obtained or calculated. Moreover, to utilize the model established in this study, a siphon breaker analysis and design program was developed. The simulation program operates on the theoretical model basis and returns the result as a graph. The user can confirm the possibility of the siphon breaking by checking the shape of the graph. Furthermore, saving the entire simulation result is possible and it can be used as a resource for analyzing the real siphon breaking system.
In conclusion, the user can confirm the status of the siphon breaking and design the siphon breaker system using the program developed in this study.

The siphon breaking phenomenon was investigated experimentally and a theoretical model was proposed. A simulation program based on the theoretical model was developed and the results of the simulation program were compared with experimental results. It was concluded that the results of the simulation program matched the experimental results well.

Studium der Siphon Breaker Experiment und Simulation für einen Forschungsreaktor

Under the design conditions of a research reactor, the siphon phenomenon induced by pipe rupture can cause continuous outward flow of water. To prevent ...

Growth and Electrostatic/chemical Properties of Metal/LaAlO3/SrTiO3 Heterostructures

The quasi 2D electron system (q2DES) that forms at the interface between LaAlO3 (LAO) and SrTiO3 (STO) has attracted much attention from the oxide electronics community. One of its hallmark features is the existence of a critical LAO thickness of 4 unit-cells (uc) for interfacial conductivity to emerge. Although electrostatic mechanisms have been proposed in the past to describe the existence of this critical thickness, the importance of chemical defects has been recently accentuated. Here, we describe the growth of metal/LAO/STO heterostructures in an ultra-high vacuum (UHV) cluster system combining pulsed laser deposition (to grow the LAO), magnetron sputtering (to grow the metal) and X-ray photoelectron spectroscopy (XPS). We study step by step the formation and evolution of the q2DES and the chemical interactions that occur between the metal and the LAO/STO. Additionally, magnetotransport experiments elucidate on the transport and electronic properties of the q2DES. This systematic work not only demonstrates a way to study the electrostatic and chemical interplay between the q2DES and its environment, but also unlocks the possibility to couple multifunctional capping layers with the rich physics observed in two-dimensional electron systems, allowing the fabrication of new types of devices.

Growth and Electrostatic/chemical Properties of Metal/LaAlO3/SrTiO3 Heterostructures

We fabricate metal/LaAlO3/SrTiO3 heterostructures using a combination of pulsed laser deposition and in situ magnetron sputtering. Through magnetotransport and in situ X-ray photoelectron spectroscopy experiments, we investigate the interplay between electrostatic and chemical phenomena of the quasi two-dimensional electron gas formed in this system.