2,362 research outputs found
Thermophysical Phenomena in Metal Additive Manufacturing by Selective Laser Melting: Fundamentals, Modeling, Simulation and Experimentation
Among the many additive manufacturing (AM) processes for metallic materials,
selective laser melting (SLM) is arguably the most versatile in terms of its
potential to realize complex geometries along with tailored microstructure.
However, the complexity of the SLM process, and the need for predictive
relation of powder and process parameters to the part properties, demands
further development of computational and experimental methods. This review
addresses the fundamental physical phenomena of SLM, with a special emphasis on
the associated thermal behavior. Simulation and experimental methods are
discussed according to three primary categories. First, macroscopic approaches
aim to answer questions at the component level and consider for example the
determination of residual stresses or dimensional distortion effects prevalent
in SLM. Second, mesoscopic approaches focus on the detection of defects such as
excessive surface roughness, residual porosity or inclusions that occur at the
mesoscopic length scale of individual powder particles. Third, microscopic
approaches investigate the metallurgical microstructure evolution resulting
from the high temperature gradients and extreme heating and cooling rates
induced by the SLM process. Consideration of physical phenomena on all of these
three length scales is mandatory to establish the understanding needed to
realize high part quality in many applications, and to fully exploit the
potential of SLM and related metal AM processes
Numerical simulation of the plastics injection moulding process
The Hele-Shaw formulation is widely used for the simulation of the injection moulding process. The influence of the Hele-Shaw approximations is, however, unknown. A two-dimensional numerical model based on the Hele-Shaw formulation, and a model based on the Navier-Stokes equations without the Hele-Shaw approximations were developed. The solutions obtained with these two approaches were compared to investigate the influence of the Hele-Shaw approximations on the simulation of the injection moulding process. Weakly compressible, non-Newtonian flow of an amorphous polymer melt under non-isothermal conditions were simulated using constitutive equations generalized to non-Newtonian materials. The finite volume method, which is a very powerful method yet easy to use, was used to discretize the governing equations as compared to finite element methods used in most other reported models. The influence of the Hele-Shaw approximations on the solutions of specific flow cases was determined by comparing the solutions obtained with the model based on the Hele-Shaw formulation and the model based on the Navier-Stokes equations. Parametric studies were done to compare the solutions of the two numerical models for a wider range of flow cases. The following conclusions were made as a consequence of this study: Numerical models to simulate the injection moulding process can be simplified and the computer time required to solve these models can be reduced by using the Hele-Shaw formulation instead of solving the full Navier-Stokes equations. Numerical models based on the Hele-Shaw formulation are well suited to simulate the injection moulding process when the geometries and flow conditions fall within certain limits. These limits are determined by the combined effect of the geometry and the flow conditions represented by the Reynolds number. The simplicity of the finite volume method used in the generalized Hele-Shaw model makes it an attractive model to use for injection moulding simulations
Simplex space-time meshes in thermally coupled two-phase flow simulations of mold filling
The quality of plastic parts produced through injection molding depends on
many factors. Especially during the filling stage, defects such as weld lines,
burrs, or insufficient filling can occur. Numerical methods need to be employed
to improve product quality by means of predicting and simulating the injection
molding process. In the current work, a highly viscous incompressible
non-isothermal two-phase flow is simulated, which takes place during the cavity
filling. The injected melt exhibits a shear-thinning behavior, which is
described by the Carreau-WLF model. Besides that, a novel discretization method
is used in the context of 4D simplex space-time grids [2]. This method allows
for local temporal refinement in the vicinity of, e.g., the evolving front of
the melt [10]. Utilizing such an adaptive refinement can lead to locally
improved numerical accuracy while maintaining the highest possible
computational efficiency in the remaining of the domain. For demonstration
purposes, a set of 2D and 3D benchmark cases, that involve the filling of
various cavities with a distributor, are presented.Comment: 14 pages, 11 Figures, 4 Table
A scalable parallel finite element framework for growing geometries. Application to metal additive manufacturing
This work introduces an innovative parallel, fully-distributed finite element
framework for growing geometries and its application to metal additive
manufacturing. It is well-known that virtual part design and qualification in
additive manufacturing requires highly-accurate multiscale and multiphysics
analyses. Only high performance computing tools are able to handle such
complexity in time frames compatible with time-to-market. However, efficiency,
without loss of accuracy, has rarely held the centre stage in the numerical
community. Here, in contrast, the framework is designed to adequately exploit
the resources of high-end distributed-memory machines. It is grounded on three
building blocks: (1) Hierarchical adaptive mesh refinement with octree-based
meshes; (2) a parallel strategy to model the growth of the geometry; (3)
state-of-the-art parallel iterative linear solvers. Computational experiments
consider the heat transfer analysis at the part scale of the printing process
by powder-bed technologies. After verification against a 3D benchmark, a
strong-scaling analysis assesses performance and identifies major sources of
parallel overhead. A third numerical example examines the efficiency and
robustness of (2) in a curved 3D shape. Unprecedented parallelism and
scalability were achieved in this work. Hence, this framework contributes to
take on higher complexity and/or accuracy, not only of part-scale simulations
of metal or polymer additive manufacturing, but also in welding, sedimentation,
atherosclerosis, or any other physical problem where the physical domain of
interest grows in time
Modelling And Analysis Of Stacked-Chip Scale Packages (S-Csps) Encapsulation Process Using Finite Difference Method [TK7874. K46 2007 f rb].
Pada hari ini, peranti-peranti mikroelektronik menjadi lebih padat, ringan dan mempunyai lebih fungsi, ini termasuklah pakej skala cip-bertingkat (S-CSP). Ia adalah satu teknologi yang memberi opsyen kepadatan pempakejan yang tinggi.
Nowadays, microelectronic devices become more compact, lighter in weight and more functional, including Stacked-Chip Scale Package (S-CSP). It is a technology which has high density packaging options
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Numerical modelling of the tilt casting processes of titanium alumindes
This research has investigated the modelling and optimisation of the tilt casting process of Titanium Aluminides (TiAl). This study is carried out in parallel with the experimental research undertaken in IRC at the University of Birmingham. They propose to use tilt casting inside a vacuum chamber and attempt to combine this tilt casting process with Induction Skull Melting (ISM). A totally novel process is developing for investment casting, which is suitable for casting gamma TiAl.
As it is known, gamma TiAl alloys has great properties including low density, high specific yield strength, high specific stiffness, good oxidation resistance and good creep resistance at high temperature [Clemens -2000][Appel et at. -2000]. A worldwide research effort has been made to develop gamma TiAl because it can offer a great potential for reducing the weight of high performance components and also engine of power generation gas turbine. Titanium alloys are very reactive at molten condition, and so, they are melted in an ISM crucible in order to avoid crucible contamination. There is still a big challenge to produce a long blade, up to 40 cm, due to the low superheat provided by the Induction Skull Melting (ISM) furnace which is widely used to melt the alloys. Here computational simulation has been seen important to predict the casting defects and to help optimise the experimental process.
Computational modelling for the casting process involves a range of interactions of physical phenomena such as heat transfer, free surface fluid flow, solidification and so on. A number of free surface modelling techniques are applied to simulate the interface between the molten metal entering the mould in the filling phase, and the gas escaping.
The CFD code PHYSICA developed in the University of Greenwich is used to simulate the above physical phenomena and to simulate the fluid flow both within the rotating mould cavity/crucible assembly and in the porous mould wall (including vents).
Modelling the mould in a finite volume method is cumbersome, so an alternative 3D/1D coupled transient heat transfer model has been developed in this study. It is based on the fact that the mould filling for titanium aluminide (TiAl) is carried out during a few seconds and the thermal conductivity of the mould material is very low. Heat can be assumed to transfer mainly in a direction perpendicular to the mould wall ID. ID transient heat transfer model is governed by ID heat conduction equation in the mould part where the coordinates of each defined cell centre were calculated rather than meshing them. The coupling method between ID and 3D model is presented. The model is then validated using two simple geometries which describe two similar states in the mould filling as test cases. It has been applied to model short thin and long blades, especially to obtain accurate thermal boundaries. Comparisons with experiments have also been done. Across the presentation of the results, the factors affect the quality of the casting in the mould filling have been discussed.
This thesis also presents a novel Counter Diffusion Method which was developed with suggestions from my supervisors as a corrective mechanism to counter numerical diffusion. This is a novel method to discretise the free surface equation fully implicitly in a fast, efficient way without numerical diffusion. Validation of the novel method was undertaken against the classical collapsing column experiment. The results showed that they are in good agreement. Then the method has been used to model a long thin blade for TiAl. A huge reduction in computational time is seen when the geometry is complex and massive amount of mesh cells are generated. That greatly speeds up the simulations.
Solidification is modeled during the cooling which is following the filling stage. Gap formation between metal and mould is covered and the effects of the gap and gap size are presented by the application of model on a long twisted turbine blade
Second All-Union Seminar on Hydromechanics and Heat and Mass Exchange in Weightlessness, summaries of reports
Abstracts of reports are given which were presented at the Second All Union Seminar on Hydromechanics and Heat-Mass Transfer in Weightlessness. Topics include: (1) features of crystallization of semiconductor materials under conditions of microacceleration; (2) experimental results of crystallization of solid solutions of CDTE-HGTE under conditions of weightlessness; (3) impurities in crystals cultivated under conditions of weightlessness; and (4) a numerical investigation of the distribution of impurities during guided crystallization of a melt
Ultrasonic nodal point: a new configuration for ultrasonic moulding. Advances towards the complete industrialisation of the technology
Pla de Doctorats Industrials de la Generalitat de Catalunya(English) Ultrasonic moulding is a promising technology that could be used as a substitute for conventional injection moulding techniques. This relatively new technology has a lower energy consumption, and it could be a sustainable altemative in an industrial environment. In addition, the supply of material processed in ultrasonic moulding is delivered shot-by-shot, which makes this technology very adequate to process short batches of samples without wastage. However, up to now, ultrasonic moulding technology has not been adopted in industrials environrnents due to its lack of robustness and poor repeatability found in its results. In addition, the little knowledge about the influence of the process parameters in the polymer melt is also a handicap for the industrial operator.
In this dissertation, applied research and numerical simulation was carried out to improve the ultrasonic moulding technology and to deepen the knowledge ofthe process to promote its industrialization. With this aim, this thesis presents three main areas of work.
First, a study of the evolution of ultrasonic moulding machines and configurations was perforrned. This review analysed the experiments published in the literature along with the main conclusions and drawbacks found.
On that basis, the developrnent and validation of a new configuration for ultrasonic moulding was done, leading to a great improvement over the performance of the method in terms of repeatability and reduction of impurities in the samples. This new configuration was applied to process polyexymethylene and cyclic olefin polymer, and the results were comparad to the conventional injection moulding. This analysis reveals that the developed rnethod is able to correctly process polymers in a repetitiva way, making ultrasonic moulding a reliable technology for the industry.
Finally, research was carried out to study the viscoelastic behaviour of ultrasonic heating of polypropylene cylinders. Results obtained from the numerical simulation of the process were comparad to experimental measurements done with an infrared carnera. The analysis of the results showed an inhomogeneous temperatura distribution along the cylinder and different heating steps can be identified over time. In addition, the comparison between the nurnerical and the experimental results showed that the interaction between the sample and the rnould directly influences the temperatura distribution along the cylinder. Finally, the effect of the main parameters in ultrasonic heating was obtained, both numerically and experimentally, and comparad.
As a result, the research perforrned in this dissertation improves the applicability of ultrasonic moulding technology in industrial environments by increasing its repeatability and robustness, and contributing to a better understanding of its main parameters.(Català) L'emmotllament per ultrasons és una tecnologia prometedora que podría utilitzar-se com a substitut de les técniques convencionals d'emmotllarnent per injecció. Aquesta nova tecnologia consumeix menys energia i seria una alternativa més sostenible en un entom industrial. A més a més. en l'emmotllament per ultrasons el material a processar es subministra cicle a cicle, la qual cosa fa que aquesta tecnología sigui molt adequada per tractar lots curts de mostres sense tenir malbaratarnent. Tanmateix, a horas d'ara la tecnologia d'emmotllarnent per ultrasons no s'ha adoptat en entorns industriaIs a causa de la manca de robustesa i la poca repetibilitat deis seus resultats. D'altra banda, el poc coneixement sobre la influencia dels parametres del procés en l'escalfarnent del polímer també és una dificultat afegida pera l'operador industrial. En aquesta tesi s'ha dut a terme investigació aplicada i simulació numérica per millorar la tecnologia d'emmotllament per ultrasons i aprofundir en el coneixernent del procés per impulsar la seva industrialització. Amb aquest objectiu, aquesta tesi presenta tres grans eixos de treball. En primer lloc, s'ha realitzat l'estudi de l'evolució de les maquines i configuracions d'emmotllament per ultrasons. Aquesta revisió ha analitzat els experiments publicats a la literatura juntament amb les principals conclusions i inconvenients trobats. Partint deis resultats anteriors, s'ha fet el desenvolupament i la validació d'una nova configuració pera l'emmotllarnent per ultrasons que millora rnolt el rendirnent del métode en termes de repetibilitat i reducció d'impureses a les mostres. Aquesta nova configuració s'ha aplicat per processar polieximetilé i polfmer d'olefina cíclica, i els resultats s'han comparat amb l'emmotllament per injecció convencional. L'analisi deis resultats revela que el métode desenvolupat és capa de processar correctarnent els polírmers de manera repetitiva, fet que el converteix en una tecnología candidata per a la indústria. Finalment, s'ha investigat l'estudi de l'escalfament ultrasónic de cilindres de polipropilé pel seu comportament viscoelastic. Els resultats obtinguts de la simulació numérica del procés s'han comparat amb mesures experimentals fetes amb una camera infraroja. L'analisi dels resultats mostra una distribució de temperatures no hornogénia al llarg del cilindre i es poden identificar diferents etapes d'escalfament al llarg del temps. A més a més, la comparació entre els resultats numérics i experirnentals identifica la interacció entre la mostra i el motile com una influencia important en la distribució de la temperatura al llarg del cilindre. Finalment, s'obté l'efecte dels principals parametres en l'escalfament per ultrasons tant numérica com experimentalrnent. Així doncs, la investigació realitzada en aquesta tesi millora l'aplicabilitat de la tecnología d'emmotllament per ultrasons en entorns industrials, augmentant la seva repetibilitat i robustesa, i contribuint a una millar comprensió dels seus factors principals.Ciència i enginyeria de material
Phase I: Design and Analysis of a Process for Melt Casting Metallic Fuel Pins Incorporating Volatile Actinides
The proposed research would be conducted in 3 phases. Each of the phases would be carried out over a one-year period. Phase I includes model development, analysis, and the selection of a new casting furnace design. The work discussed in this report was completed as Phase I. Phase II of the program will lead to more modeling and validation to evaluate the proposed furnace concept. Phase III would be a joint effort between UNLV and Argonne National Laboratory (ANL) to demonstrate the acceptable use of the new furnace in a simulated remote environment.
The Phase III work would include the design and modification/fabrication of a small test furnace for remote operation. Some of the casting furnace techniques that will be evaluated include an induction skull melter, continuous casting, and the modification of the present process to operate at higher pressures.
The groundwork laid this past year developed a set of modeling tools to assist in the design of a realistic fabrication technique. The primary technical hurdle to overcome in the fabrication of a 21 metallic alloy fuel is that of efficiently including the highly volatile actinide elements (i.e., americium). A comprehensive model for the mass transport has been developed and will be implanted in year two of the project
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