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Thermo-Mechanical Modeling of Additive Manufacturing

Thermo-Mechanical Modeling of Additive Manufacturing
A Book

by Michael Gouge,Pan Michaleris

  • Publisher : Butterworth-Heinemann
  • Release : 2017-08-03
  • Pages : 294
  • ISBN : 0128118210
  • Language : En, Es, Fr & De
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Thermo-mechanical Modeling of Additive Manufacturing provides the background, methodology and description of modeling techniques to enable the reader to perform their own accurate and reliable simulations of any additive process. Part I provides an in depth introduction to the fundamentals of additive manufacturing modeling, a description of adaptive mesh strategies, a thorough description of thermal losses and a discussion of residual stress and distortion. Part II applies the engineering fundamentals to direct energy deposition processes including laser cladding, LENS builds, large electron beam parts and an exploration of residual stress and deformation mitigation strategies. Part III concerns the thermo-mechanical modeling of powder bed processes with a description of the heat input model, classical thermo-mechanical modeling, and part scale modeling. The book serves as an essential reference for engineers and technicians in both industry and academia, performing both research and full-scale production. Additive manufacturing processes are revolutionizing production throughout industry. These technologies enable the cost-effective manufacture of small lot parts, rapid repair of damaged components and construction of previously impossible-to-produce geometries. However, the large thermal gradients inherent in these processes incur large residual stresses and mechanical distortion, which can push the finished component out of engineering tolerance. Costly trial-and-error methods are commonly used for failure mitigation. Finite element modeling provides a compelling alternative, allowing for the prediction of residual stresses and distortion, and thus a tool to investigate methods of failure mitigation prior to building. Provides understanding of important components in the finite element modeling of additive manufacturing processes necessary to obtain accurate results Offers a deeper understanding of how the thermal gradients inherent in additive manufacturing induce distortion and residual stresses, and how to mitigate these undesirable phenomena Includes a set of strategies for the modeler to improve computational efficiency when simulating various additive manufacturing processes Serves as an essential reference for engineers and technicians in both industry and academia

Thermo-mechanical Model Development and Experimental Validation for Directed Energy Deposition Additive Manufacturing Processes

Thermo-mechanical Model Development and Experimental Validation for Directed Energy Deposition Additive Manufacturing Processes
A Book

by Jarred Heigel

  • Publisher : Unknown Publisher
  • Release : 2015
  • Pages : 329
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Additive manufacturing (AM) enables parts to be built through the layer-by-layer addition of molten metal. In directed energy deposition (DED) AM, metal powder or wire is added into a melt pool that follows a pattern to fill in the cross section of the part. When compared to traditional manufacturing processes, AM has manyadvantages such as the ability to make internal features and to repair high-value parts. However, the large thermal gradients generated by AM result in plastic deformation. Thermo-mechanical models must be developed to predict the temperature and distortion produced by this process.Thermo-mechanical models have been developed for AM by several investigators. These models are often validated by measuring the temperatures during the deposition of a small part and the final distortion of the part. Unfortunately this is not a sufficientvalidation method for the non-linear thermo-mechanical model. Although good agreement between the thermal model and the temperatures measured during a small depositions can be achieved, it does not necessarily mean that the model will be accurate for an industrially relevant part that requires 10^2 - 10^4 tracks and hours of processing time. The relatively small deviations between the model and the validation will propagate when modeling large depositions and could produce inaccurate results. The errors in a large part will be increased further if the assumptions made of thethermal boundary conditions are not appropriate for the system.The objective of this work is to develop and experimentally validate thermo-mechanical models for DED. Experiments are performed to characterize the distortion induced by laser cladding. The depositions require many tracks and nearly an hour of processing time, during which the temperature and the deflection are measured in situ so that the response of the plate to each deposition track is understood. Measurements are then made of the convection caused by two different laser deposition heads. Thermo-mechanical models are developed by implementing the measured rate of convective heat transfer and the temperature dependent material properties. The models are validated using in situ measurements of the temperatureand the deflection generated during the process, as well as post-process measurements of the residual stress and the distortedshape. Finally, experiments and models are used to investigate the impact of feedstock selection, either powder or wire, on the DEDprocess.

Thermo-mechanical Model Development and Experimental Validation for Metallic Parts in Additive Manufacturing

Thermo-mechanical Model Development and Experimental Validation for Metallic Parts in Additive Manufacturing
A Book

by Erik Denlinger

  • Publisher : Unknown Publisher
  • Release : 2015
  • Pages : 329
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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The objective of this work is to experimentally validate thermal andmechanical finite element models of metallic parts produced usingadditive manufacturing (AM) processes. AM offers advantages overother manufacturing processes due the fact that it can produce netand near-net shapes directly from a digital drawing file. Parts canbe produced on a layer by layer basis by melting wire or powdermetal using a laser or an electron beam. The material then cools andsolidifies to form a fully dense geometry. Unfortunately the largethermal gradients cause a buildup of residual stress often takingparts out of tolerance or causing failure by cracking ordelamination. To successfully reduce distortion and residual stressin metallic AM parts without expensive and time consuming trial anderror iterations, an experimentally validated physics based model isneeded.In this work finite element (FE) models for the laser directedenergy deposition (LDED), the Electron Beam Directed Manufacture(EBDM) process, and the Laser Powder-Bed Fusion (LPBF) process aredeveloped and validated. In situ distortion and temperaturemeasurements are taken during the LDED processing of both Ti-6Al-4Vand Inconel 625. The in situexperimental results are used in addition to post-process residualstress measurements to validate a thermo-mechanical model for eachalloy. The results show that each material builds distortiondifferently during AM processing, a previously unknown effect thatmust be accounted for in the model. The thermal boundary conditionsin the model are then modified to allow for the modeling of the EBDMprocess. The EBDM model is validated against in situ temperature anddistortion measurements as well as post-process residual stressmeasurements taken on a single bead wide Ti-6Al-4V wall build.Further model validation is provided by comparing the predictedmechanical response of a large EBDM aerospace component consistingof several thousand deposition tracks to post-process distortionmeasurements taken on the actual part. Several distortion mitigationtechniques are also investigated using an FE model. The findings areused to reduce the maximum distortion present on the largeindustrial aerospace component by 91~\%. Finally, the modeling workfor the LDED and the EBDM processes is extended to Laser Powder-BedFusion (LPBF) processing of Inconel718. The necessary boundary conditions and material properties toinclude in the models are identified by comparing the model with insitu experimental results.

3D Printing

3D Printing
A Book

by Dragan Cvetković

  • Publisher : BoD – Books on Demand
  • Release : 2018-10-10
  • Pages : 196
  • ISBN : 1789239656
  • Language : En, Es, Fr & De
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This book, "3D Printing", is divided into two parts: the first part is devoted to the relationship between 3D printing and engineering, and the second part shows the impact of 3D printing on the medical sector in general. There are five sections in the first part (sections are dedicated to stereolithography, new techniques of high-resolution 3D printing, application of 3D printers in architecture and civil engineering, the additive production with the metal components and the management of production by using previously mentioned technology in more complex ways). There are four chapters in the second part with the following topics: education of medical staff through surgical simulations, tissue engineering and potential applications of 3D printing in ophthalmology and orthopedics.

Efficient Thermo-mechanical Simulation of the Directed Energy Deposition Additive Manufacturing Process

Efficient Thermo-mechanical Simulation of the Directed Energy Deposition Additive Manufacturing Process
A Book

by Anirudh Krishnakumar

  • Publisher : Unknown Publisher
  • Release : 2016
  • Pages : 96
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Thermo-mechanical Analysis of Wire and Arc Additive Manufacturing Process

Thermo-mechanical Analysis of Wire and Arc Additive Manufacturing Process
A Book

by J. Ding

  • Publisher : Unknown Publisher
  • Release : 2012
  • Pages : 329
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Conventional manufacturing processes often require a large amount of machining and cannot satisfy the continuously increasing requirements of a sustainable, low cost, and environmentally friendly modern industry. Thus, Additive Manufacturing (AM) has become an important industrial process for the manufacture of custom-made metal workpieces. Among the different AM processes, Wire and Arc Additive Manufacture (WAAM) has the ability to manufacture large, low volume metal work-pieces due to its high deposition rate. In this process, 3D metallic components are built by depositing beads of weld metal in a layer by layer fashion. However, the non-uniform expansion and contraction of the material during the thermal cycle results in residual stresses and distortion. To obtain a better understanding of the thermo-mechanical performance of the WAAM process, a study based on FE simulation was untaken in this thesis. The mechanism of the stress generation during the deposition process was analysed via a 3D transient thermo-mechanical FE model which is verified with experimental results. To be capable of analysing the thermo-mechanical behaviour of large-scale WAAM components, an efficient FE approach was developed which can significantly reduce the computational time. The accuracy of this model was validated against the transient model as well as experimental measurements. With the help of the FE models studies on different deposition parameters, deposition sequences and deposition strategies were carried out. It has been proved that the residual stresses and the distortions are possible to be reduced by using optimised deposition parameters and sequences. In addition, a robot path generation prototype has been developed to help efficiently integrate these optimised process settings in the real-wold WAAM process.

Thermo-mechanical Modeling of Metallic Substrates Around Laser-induced Melt Pools

Thermo-mechanical Modeling of Metallic Substrates Around Laser-induced Melt Pools
A Book

by Yi Shu

  • Publisher : Unknown Publisher
  • Release : 2020
  • Pages : 329
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Additive manufacturing (AM) has introduced new possibilities of creating sophisticated designs and structures. Selective Laser Melting (SLM) is an AM technique where structures are fabricated by selectively melting and fusing powder layers. In SLM, melt pools are induced by a laser beam moving on the top surface of a substrate submerged in a powder bed. Mechanical properties of additively manufactured metallic parts are known to be strongly affected by thermal histories, and residual stresses arise due to large temperature gradients. Thermo-mechanical models would help to gain information about both, which is usually hard to obtain. This thesis focuses on examining how well thermal histories and residual stresses in metallic substrates around laser-induced melt pools can be computed by thermo-mechanical models, through experiments on substrates of 17-4PH Stainless Steel (SS) and Ti-6Al-4V. In the first set of experiments, one of two different laser beams moves with constant velocity and power over substrates of 17-4PH SS or Ti-6Al-4V. The substrates are sectioned and etched to expose melt pool traces. In the second set of experiments, single-pass lasers move with constant velocity and power on top surfaces of 17-4PH SS substrates. The time evolution of the deflection of substrates are recorded with a high speed camera. Two types of heat transfer models (accounting for and not accounting for convective heat transfer through fluid flow) reproduced the melt pool traces in the first set of experiments. Predicted thermal histories were critically analyzed. As an extension, how well the model accounting for convective heat transfer reproduced the effect of a substrate edge on the melt pool was examined. Later, the model without convective heat transfer was applied to real-time ultrasonic monitoring of a melt pool in metallic substrates. For the second set of experiments, the model based on heat conduction and elasto-viscoplasticity reproduced the time evolution of deflection of 17-4PH SS substrates. The contributions of this thesis are as follows. Through experiments with various combinations of laser power, scanning speed, power density distribution and metallic material, we show that simply reproducing melt pool traces is insufficient to determine thermal histories. Specifically, for a non-axisymmetric laser beam, three-dimensional melt pool shapes can be disparate even if their two-dimensional traces are very similar. Convective heat transfer in laser-induced melt pools cannot be completely ignored, otherwise there may be inconsistencies between the model and experiment conditions, as well as distortion of thermal histories related to phase transformation. With experiments of laser melting tracks near edges of substrates, we demonstrate that the model accounting for convective heat transfer can consistently reproduce melt pool traces affected by a substrate's edge. We have proven the existence of scattering waves by the presence of a melt pool through simulation, for a possibility of monitoring the state of laser-induced melt pool in real-time with ultrasound. We have designed deflection experiments of metallic substrates monitored by a high-speed camera, which would benefit calibrating thermo-mechanical models for residual stresses because of the substrate's simple thermal and mechanical history. By reproducing the deflection experiments with the model based on heat conduction and elasto-viscoplasticity, we conclude that the solid state phase transformation plays an indispensable role in the evolution of residual stresses of 17-4PH SS. We also highlight the necessity of monitoring time evolution instead of the end state when evaluating models for residual stress of alloys with volume change during phase transformation.

Composite Materials and Material Engineering II

Composite Materials and Material Engineering II
A Book

by Xiao Hong Zhu

  • Publisher : Trans Tech Publications Ltd
  • Release : 2018-08-15
  • Pages : 312
  • ISBN : 3035732965
  • Language : En, Es, Fr & De
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The 3rd International Conference on Composite Materials and Material Engineering (ICCMME 2018) Selected, peer reviewed papers from the 3rd International Conference on Composite Materials and Material Engineering (ICCMME2018), January 26-28, 2018, Singapore

Recent Development in Machining, Materials and Mechanical Technologies III

Recent Development in Machining, Materials and Mechanical Technologies III
A Book

by Huy Bich Nguyen

  • Publisher : Trans Tech Publications Ltd
  • Release : 2019-10-24
  • Pages : 160
  • ISBN : 3035734828
  • Language : En, Es, Fr & De
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This volume contains the selected papers presented at the 2018 International Conference on Machining, Materials and Mechanical Technologies (IC3MT 2018), which was held in Ho Chi Minh City, Vietnam on 19th-22nd of September 2018. We hope this collection will be interesting and useful for many researchers and engineers from various fields of materials science and mechanical engineering.

Nonlinear Finite Element Modeling of Transient Thermo- Mechanical Behavior in Selective Laster Melting

Nonlinear Finite Element Modeling of Transient Thermo- Mechanical Behavior in Selective Laster Melting
A Book

by Zhibo Luo

  • Publisher : Unknown Publisher
  • Release : 2020
  • Pages : 329
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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"Selective laser melting (SLM) is a commonly used powder bed fusion (PBF) additive manufacturing (AM) process that fabricates a part through layer-wised method. Due to its ability to build customized and complex parts, SLM process has been broadly studied and applied in both academia and industry. However, rapidly changing thermal cycles and extremely high-temperature gradients in the melt pool induce a periodically changed thermal stress in solidified layers. Different types of manufacturing defects can be induced by this laser melting and layer-wised manufacturing method. These defects are controlled by different process parameters and can be minimized through optimizing these parameters. The high cost is typically the result of experimental trial-and-error methods when they are used to optimize the related process parameters. Therefore, most studies focus on developing numerical methods to estimate transient temperatures and thermal stress distributions in the melt pool and powder bed. The big challenge in the numerical thermo-mechanical analysis of a part during the SLM process is to reduce its high computational cost. The high computational cost origins from the non-linear thermo-elasto-plastic material behavior during the fabrication process, fast laser melting and solidification process, and dynamically changed build domain. Though some numerical methods, such as multiscale method and inherent strain method, have been utilized to model the SLM process, these methods cannot incorporate the influences of many process parameters such as the scanning pattern and scanning speed. In this research, an efficient thermo-mechanical finite element (FE) method aiming to reduce the computational cost is developed to model the SLM process at part level. This simulation scheme is based on an open source FE library named Deal.II, which supports adaptive mesh refinement and parallel computing. High computational cost mainly originates from large cell number and time step number. To reduce the computational cost, the Gaussian line heat source (GLHS) model with a proper time step length was developed to replace the conventional used moving Gaussian point heat source (GPHS) model. In addition, several mesh strategies were developed to reduce the total cell number and timestep number from scanning track level, layer level, and part level, respectively. To achieve a compromise between computational efficiency and solution accuracy, a hybrid of GLHS and GPHS was developed as the input heat flux. The modeling results validated the robustness of the hybrid model. To further improve solution accuracy, temperature-dependent material properties were used and the developed adaptive mesh strategy could always capture the effective heat input by increasing the mesh density around the heat source region. After transient thermal analysis of each step, a thermo-elasto-plastic constitutive model was established to predict the quasi-static mechanical behavior of the material and to calculate the deformation and thermal stress of the deposited layers. A scanning path file was designed to include all necessary process parameters and was used to guide the simulation process track-by-track and layer-by-layer. In summary, the simulation speed is 12 ~ 18 folds faster compared with the conventional simulation scheme. The simulation results were compared with experimental results. The comparison demonstrated that each point in the simulation experienced the same thermo-mechanical cycles as in the experiment. Therefore, the developed simulation scheme in this research can be used to optimize the process parameters, such as scanning pattern, scanning speed, and layer thickness. It also has the potential to be easily extended into other PBF based AM processes"--

Simulation of the Crystallization Process and Thermomechanical Behavior Prediction During SLS Additive Manufacturing

Simulation of the Crystallization Process and Thermomechanical Behavior Prediction During SLS Additive Manufacturing
A Book

by Jochen Kettemann

  • Publisher : Unknown Publisher
  • Release : 2014
  • Pages : 138
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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An Adaptive Discrete Element Method for Physical Modeling of the Selective Laser Sintering Process

An Adaptive Discrete Element Method for Physical Modeling of the Selective Laser Sintering Process
A Book

by Arash Gobal

  • Publisher : Unknown Publisher
  • Release : 2017
  • Pages : 329
  • ISBN : 9780355151800
  • Language : En, Es, Fr & De
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Additive Manufacturing (AM) has recently risen to the forefront of research and development of manufacturing industries as it provides engineers with unique capabilities that are completely unheard of in subtractive manufacturing systems. Properties such as the fabrication of complex, otherwise not-manufacturable, structures and non-expensive low-volume fabrication have helped additive manufacturing to climb the popularity ladder in such a way that it is sometimes even referred to as "The third industrial revolution". The main distinction between AM and subtractive manufacturing technologies (milling, etc.) is that instead of cutting material from a solid block, AM systems fabricate the end-use products directly in an additive, layer-wise fashion. Selective Laser Sintering (SLS) is categorized as a Powder Bed Fusion (PBF) process. PBF processes are a distinct class of AM systems that use powders as their raw material and use a laser/electron beam to fuse the powders together and fabricate the final product. Powdered metals and ceramics are two of the major raw materials used in PBF processes, resulting in a high demand for industry-scale PBF machines. Therefore, characterization of these processes is a research topic worth exploring. This dissertation presents a comprehensive approach for addressing the ongoing issues in the field of physical modeling of powder bed fusion additive manufacturing processes. In this work, an adaptive discrete element method is proposed for thermo-mechanical simulation of powdered material during the selective laser sintering process. By adding adaptive refinement to the conventional particle level discrete element model, the developed model gets equipped with the capability of improving the simulation speed while maintaining the computational accuracy of the conventional DEM. Empirical models for fusion of powder particle under the influence of the laser beam is also included in the simulation. Moreover, a homogenization technique based on the results of the developed thermo-mechanical method is presented that has the potential of calculating the elastic properties of SLS products. The developed models have been validated, showing that their results follow the expected trends. This dissertation is an effort in creating a much needed physical modeling tool for complete virtual manufacturing and testing of SLS products. Further development of this idea could significantly increase the impact of AM technologies in a wide range of industrial applications.

Data-Driven Modeling for Additive Manufacturing of Metals

Data-Driven Modeling for Additive Manufacturing of Metals
Proceedings of a Workshop

by National Academies of Sciences, Engineering, and Medicine,Division on Engineering and Physical Sciences,National Materials and Manufacturing Board,Board on Mathematical Sciences and Analytics

  • Publisher : National Academies Press
  • Release : 2019-11-09
  • Pages : 78
  • ISBN : 0309494206
  • Language : En, Es, Fr & De
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Additive manufacturing (AM) is the process in which a three-dimensional object is built by adding subsequent layers of materials. AM enables novel material compositions and shapes, often without the need for specialized tooling. This technology has the potential to revolutionize how mechanical parts are created, tested, and certified. However, successful real-time AM design requires the integration of complex systems and often necessitates expertise across domains. Simulation-based design approaches, such as those applied in engineering product design and material design, have the potential to improve AM predictive modeling capabilities, particularly when combined with existing knowledge of the underlying mechanics. These predictive models have the potential to reduce the cost of and time for concept-to-final-product development and can be used to supplement experimental tests. The National Academies convened a workshop on October 24-26, 2018 to discuss the frontiers of mechanistic data-driven modeling for AM of metals. Topics of discussion included measuring and modeling process monitoring and control, developing models to represent microstructure evolution, alloy design, and part suitability, modeling phases of process and machine design, and accelerating product and process qualification and certification. These topics then led to the assessment of short-, immediate-, and long-term challenges in AM. This publication summarizes the presentations and discussions from the workshop.

A Parallel Finite-element Framework for the Thermal Analysis of Metal Additive Manufacturing with Powder Methods

A Parallel Finite-element Framework for the Thermal Analysis of Metal Additive Manufacturing with Powder Methods
A Book

by Eric Miranda Neiva

  • Publisher : Unknown Publisher
  • Release : 2016
  • Pages : 329
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Virtual design process and validation of products built with metal additive manufacturing technologies with powder methods is not possible without a coupled thermomechanical numerical analysis tool that is capable of predicting the final distortion and the residual stresses of a piece and gets round a slow and expensive experimental campaign. However, the numerical analyses of metal AM processes are a remarkable challenge because they involve growing geometries, complex constitutive nonlinear thermomechanical laws, different scales in space and time and, most importantly, dealing efficiently with the massive computational cost of these simulations. This Master Thesis establishes the foundation stone of an innovative high performance scientific framework that will bring at last a reliable and computationally efficient answer to the current industrial needs. More precisely, it presents a parallel finite-element framework for the heat transfer analysis of metal additive manufacturing with powder methods. The main ingredient of this parallel finite-element model consists of a finite-element activation procedure that allows one to follow the energy input from the laser in space and time in a parallel environment. This moving heat source also governs the evolution of the geometry during the printing process. That is why the procedure is also responsible for the update of the computational domain. This model has been implemented in an advanced highly-performing object-oriented research code (FEMPAR), after thoroughly redesigning an existing serial implementation from another standard and procedural research code (COMET). The numerical experiments show that this novel framework reproduces in a parallel environment the behaviour of the original serial implementation, marking not only the achievement of the objective of this Master Thesis, but also an important milestone in the long-term goal of creating a high performance scientific tool for these kind of simulations.

Optimization of Support Structures for Selective Laser Melting

Optimization of Support Structures for Selective Laser Melting
A Book

by Kai Zeng

  • Publisher : Unknown Publisher
  • Release : 2015
  • Pages : 201
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Additive Manufacturing (AM) users rely on experiments and experience to predict the performance of AM processes. This trial and error approach for qualifying AM parts takes significant time and money. Simulation tools are an urgent need for today's AM industry. One area of need is the automatic generation of optimized support structures based upon the scan patterns used to produce those structures. This research seeks to develop support structure generation tools based on real scan pattern and thermo-mechanical simulation tools for Selective Laser Melting (SLM) developed at the University of Louisville and being commercialized by 3DSIM, LLC. In order to benchmark the 3DSIM thermo-mechanical simulation tool, a thermal finite element model has been developed in ANSYS which uses the similar multi-scale meshing strategies as 3DSIM. The use of the sub-modeling approach for dynamic meshing was verified by comparing it against a uniform fine mesh model. The results of the two models match within an acceptable tolerance. Also, a mesh sensitivity analysis was carried out in order to show solution convergence as a function of increasing mesh density. The results of this analysis were also validated using experiments to show a match between experimental and simulated melt pools. Finally, the ANSYS solution was compared with 3DSIM results. The result of 3DSIM for a simple represented model is validated compared against the ANSYS model. What is more, it was significantly faster than their ANSYS counterparts for solving problems using a dynamic mesh. A scan pattern generation tool has been implemented to enable the input of real scan patterns as it is used in fabrication. The scan pattern is arbitrarily varied using user-defined parameters including hatching space, orientation angle, scanning start point, etc. Several types of scan patterns such as traditional S and chessboard are included in the tool. A simplified representation of the thermomechanical properties of support structures in order to accelerate the simulation of supports has been formulated. The effective thermal properties of support structures are represented using thermal homogenization. The effective thermal properties of the support structures have been found to be a function of their geometry, anisotropy and constituent independent thermal properties. The results from this study have been compared against standard models and a good match has been found. A novel framework for a support structure generation and optimization tool has been developed to overcome the difficulty of dealing with support structures in SLM. Supports are optimized and designed based on the thermal stress accumulated in parts as they are made as well as geometrical rules. The support structure is designed to be withstand the thermal stress at locations where it could cause damage to the part and support structure, while minimizing the overall need for support structure materials. The support structure is designed with non-uniform parameters so as to make it flexible to alter based upon thermal stress. Experiments were conducted to explore the threshold for block support structure parameters and results were applied to adjust and verify the tool.

Experimental Design for Process Parameter Correlation to Dimensional Inaccuracies in Additive Manufacturing Processes

Experimental Design for Process Parameter Correlation to Dimensional Inaccuracies in Additive Manufacturing Processes
A Book

by David Corbin

  • Publisher : Unknown Publisher
  • Release : 2018
  • Pages : 329
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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The objective of this work is to develop a comprehensive set of experiments for the investigation of the effects of Directed Energy Deposition (DED) processing parameters on dimensional accuracy. Dimensional accuracy, defined as the quantitative assessment of the agreement between the intended geometry and the final geometry of the deposited part, is understood to be one of the most important aspects of quality of an Additive Manufacturing (AM) process. This outcome is generally defined by the heat input affecting dimensions of the process including the capture efficiency of the injected powder, melt-pool size, and thermal cycling of the deposited part. Experiments were designed to generalize the effects of common DED processing parameters and their interactions on dimensional accuracy measured in situ and post-process. The experimental measurements assisted the development of validated, thermo-mechanical models that determined deformation-causing mechanisms in ways that traditional, measurement strategies fail. These models can act as a predictive tool in the assessment of the dimensional accuracy of subsequent directed energy depositions.

Simulation of Thermo-Chemo-Mechanical Coupled Additive Manufacturing Processes Using Peridynamics

Simulation of Thermo-Chemo-Mechanical Coupled Additive Manufacturing Processes Using Peridynamics
A Book

by Philipp Hartmann

  • Publisher : Unknown Publisher
  • Release : 2019
  • Pages : 329
  • ISBN : 9783941302341
  • Language : En, Es, Fr & De
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Ceramic Abstracts

Ceramic Abstracts
A Book

by Anonim

  • Publisher : Unknown Publisher
  • Release : 1999
  • Pages : 329
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Laser-Based Additive Manufacturing of Metal Parts

Laser-Based Additive Manufacturing of Metal Parts
Modeling, Optimization, and Control of Mechanical Properties

by Linkan Bian,Nima Shamsaei,John Usher

  • Publisher : CRC Press
  • Release : 2017-08-09
  • Pages : 328
  • ISBN : 1498739997
  • Language : En, Es, Fr & De
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Laser-Based Additive Manufacturing (LBAM) technologies, hailed by some as the "third industrial revolution," can increase product performance, while reducing time-to-market and manufacturing costs. This book is a comprehensive look at new technologies in LBAM of metal parts, covering topics such as mechanical properties, microstructural features, thermal behavior and solidification, process parameters, optimization and control, uncertainty quantification, and more. The book is aimed at addressing the needs of a diverse cross-section of engineers and professionals.

Solid Freeform and Additive Fabrication - 2000: Volume 625

Solid Freeform and Additive Fabrication - 2000: Volume 625
A Book

by Stephen C. Danforth,Duane Dimos,Fritz B. Prinz

  • Publisher : Materials Research Society
  • Release : 2000-10-02
  • Pages : 220
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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The MRS Symposium Proceeding series is an internationally recognised reference suitable for researchers and practitioners.