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Search Results for numerical simulation
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Published: 01 January 2002
Fig. 1 Numerical simulation of a bubble collapse near a solid surface showing evolution of the bubble during collapse
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Published: 01 November 2010
Fig. 38 Results of numerical simulation of transient end effect in the bar leading end zone (axial temperature distribution) when heating different materials. Source: Ref 1
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Published: 01 November 2010
Fig. 56 Results of numerical simulation of heating an axle shaft by using a single-shot inductor. Courtesy of Inductoheat, Inc.
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in Modeling of Metallurgical Microstructure Evolution in Fusion Welding
> Welding Fundamentals and Processes
Published: 31 October 2011
Fig. 21 Outputs from the coupled numerical simulations of the welding case referred to in the text. (a) Predicted peak-temperature, T p, distribution during gas metal arc welding. (b) Calculated stress-strain curves for the three positions labeled “A,” “B,” and “C” in (a). Source: Ref 53
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in Basics of Distortion and Stress Generation during Heat Treatment
> Steel Heat Treating Technologies
Published: 30 September 2014
Fig. 20 Correspondence between length changes calculated by numerical simulations and predicted by a regression model after transformation-free cooling of bars made of austenitic steels. Source: Ref 20
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Published: 01 November 2010
Fig. 7 Comparison of experimental measured (continuous) and numerically simulated (dashed) temperature profiles for an IN718 inertia weld for two axial distances ( z ) from the weld line. Source: Ref 62
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Published: 09 June 2014
Fig. 5 Results of numerical computer simulation using finite-element analysis (FEA) of the sequential dynamics of end heating of carbon steel bars processed transversely inside an oval coil. Temperature variation at four critical points is indicated as N1, N2, N3, and N4. Due to the symmetry
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Published: 01 January 1997
Series: ASM Handbook
Volume: 4C
Publisher: ASM International
Published: 09 June 2014
DOI: 10.31399/asm.hb.v04c.a0005897
EISBN: 978-1-62708-167-2
... Abstract Estimation of process parameters for selective heating and heat treating of simple- and complex-shaped workpieces in induction hardening can be accurately carried out using numerical simulation techniques such as the finite-element analysis and the finite-different method. Along...
Abstract
Estimation of process parameters for selective heating and heat treating of simple- and complex-shaped workpieces in induction hardening can be accurately carried out using numerical simulation techniques such as the finite-element analysis and the finite-different method. Along with the significant benefits of modern numerical simulations, it is important to be able to use rough estimation techniques to develop a general understanding of the critical parameters of a particular induction heating system. This article discusses such numerical techniques for estimating the critical parameters: workpiece power estimation; estimation of electrical and thermal efficiency of the coil; and frequency selection for heating solid cylinders, tubes, pipes, slabs, plates, strips, and rectangular workpieces.
Series: ASM Handbook
Volume: 22B
Publisher: ASM International
Published: 01 November 2010
DOI: 10.31399/asm.hb.v22b.a0005503
EISBN: 978-1-62708-197-9
... Abstract This article focuses on the axisymmetric 2.5-dimensional approach used in metal powder injection molding (PIM) simulations. It describes three stages of PIM simulations: filling, packing, and cooling. The article discusses the process features of numerical simulation of PIM...
Abstract
This article focuses on the axisymmetric 2.5-dimensional approach used in metal powder injection molding (PIM) simulations. It describes three stages of PIM simulations: filling, packing, and cooling. The article discusses the process features of numerical simulation of PIM, such as filling and packing analysis, cooling analysis, and coupled analysis between filling, packing, and cooling stages. It explains the experimental material properties and verification for filling, packing, and cooling stages in the PIM simulations. The article presents simulation results from some of the 2.5-dimensional examples to demonstrate the usefulness of the computer-aided engineering analysis and optimization capability of the PIM process.
Series: ASM Handbook
Volume: 22B
Publisher: ASM International
Published: 01 November 2010
DOI: 10.31399/asm.hb.v22b.a0005518
EISBN: 978-1-62708-197-9
... on the simulation of defects related to grain textures and microstructures. The article provides information on the application of the most important simulation approaches and the status of numerical simulation. defects grain textures microstructure numerical simulation solidification IN MOST...
Abstract
This article reviews the various aspects of the simulation of solidification microstructures and grain textures. It describes the grain structures and morphology of dendrites or eutectics that compose the internal structure of the grains. A particular emphasis has been put on the simulation of defects related to grain textures and microstructures. The article provides information on the application of the most important simulation approaches and the status of numerical simulation.
Series: ASM Handbook
Volume: 14B
Publisher: ASM International
Published: 01 January 2006
DOI: 10.31399/asm.hb.v14b.a0005168
EISBN: 978-1-62708-186-3
... Abstract This article discusses the numerical simulation of the forming of aluminum alloy sheet metals. The macroscopic and microscopic aspects of the plastic behavior of aluminum alloys are reviewed. The article presents constitutive equations suitable for the description of aluminum alloy...
Abstract
This article discusses the numerical simulation of the forming of aluminum alloy sheet metals. The macroscopic and microscopic aspects of the plastic behavior of aluminum alloys are reviewed. The article presents constitutive equations suitable for the description of aluminum alloy sheets. It explains testing procedures and analysis methods that are used to measure the relevant data needed to identify the material coefficients. The article describes the various formulations of finite element methods used in sheet metal forming process simulations. Stress-integration procedures for both continuum and crystal-plasticity mechanics are also discussed. The article also provides various examples that illustrate the simulation of aluminum sheet forming.
Series: ASM Handbook
Volume: 22A
Publisher: ASM International
Published: 01 December 2009
DOI: 10.31399/asm.hb.v22a.a0005434
EISBN: 978-1-62708-196-2
.... It describes the modeling of vapor-surface interactions and kinetics of hetereogeneous processes as well as the modeling and kinetics of homogenous reactions in chemical vapor deposition (CVD). The article provides information on the various stages of developing models for numerical simulation of the transport...
Abstract
This article focuses on transport phenomena and modeling approaches that are specific to vapor-phase processes (VPP). It discusses the VPP for the synthesis of materials. The article reviews the basic notions of molecular collisions and gas flows, and presents transport equations. It describes the modeling of vapor-surface interactions and kinetics of hetereogeneous processes as well as the modeling and kinetics of homogenous reactions in chemical vapor deposition (CVD). The article provides information on the various stages of developing models for numerical simulation of the transport phenomena in continuous media and transition regime flows of VPP. It explains the methods used for molecular modeling in computational materials science. The article also presents examples that illustrate multiscale simulations of CVD or PVD processes and examples that focus on sputtering deposition and reactive or ion beam etching.
Series: ASM Handbook
Volume: 22B
Publisher: ASM International
Published: 01 November 2010
DOI: 10.31399/asm.hb.v22b.a0005528
EISBN: 978-1-62708-197-9
... validated finite-element models for analyzing the classes of shearing processes. The article also discusses the use of microstructural characterization with stereology to render three-dimensional volumetric parameters. It concludes with information on the numerical simulation of an edge-shearing process...
Abstract
This article discusses a set of experimental and computational studies aimed at understanding the effect of various processing parameters on the extent of burr and other defect formation during sheet edge-shearing and slitting processes. It describes the development of experimentally validated finite-element models for analyzing the classes of shearing processes. The article also discusses the use of microstructural characterization with stereology to render three-dimensional volumetric parameters. It concludes with information on the numerical simulation of an edge-shearing process, along with sensitivity studies with respect to process and tool parameters.
Series: ASM Handbook
Volume: 22B
Publisher: ASM International
Published: 01 November 2010
DOI: 10.31399/asm.hb.v22b.a0005516
EISBN: 978-1-62708-197-9
... experienced by the turns of the coil. It concludes with information on some case studies of numerical simulation. coating coils distortion electromagnetic forces heat transfer modes hot working induction heating numerical simulation thermal conduction thermal convection thermal radiation...
Abstract
The most popular metal hot working processes for which induction heating is applied are forging, forming, extrusion, and rolling. This article focuses on estimation techniques to determine basic induction heating process parameters, including coil power, length of heating line, and frequency selection. It discusses three modes of heat transfer: conduction, convection, and radiation, in induction heating. The article describes the factors affected by a distortion of the magnetic field at the coil end through a schematic illustration of distribution of three magnetic force components experienced by the turns of the coil. It concludes with information on some case studies of numerical simulation.
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Published: 31 October 2011
Fig. 5 General workflow for a transient, three-dimensional numerical welding simulation of the temperature field, distortions, and stresses. Adapted from Ref 20
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in Computational Modeling of Induction Melting and Experimental Verification
> Induction Heating and Heat Treatment
Published: 09 June 2014
Fig. 26 Parts of the full spectrum of turbulent flow energy resolved and/or modeled by Reynolds-averaged Navier-Stokes (RANS) equations, large-eddy simulation (LES) models, and direct numerical simulation (DNS)
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Series: ASM Handbook
Volume: 20
Publisher: ASM International
Published: 01 January 1997
DOI: 10.31399/asm.hb.v20.a0002446
EISBN: 978-1-62708-194-8
... parameter values must be adopted. Searching for the Minimum Most CAE optimal design implementations are based on computationally expensive numerical simulations to evaluate the performance measures and use descent methods to move through the design space. Commonly used descent methods are based...
Abstract
This article discusses tools that are used for the systematic optimization of engineering designs. It focuses on the practical application of optimization technology in a computer-aided engineering environment. The article presents numerical optimization algorithms and provides some background on how these algorithms make decisions when searching for the optimal design. It also provides information on structural optimization, topology optimization, materials processing optimization, multidisciplinary optimization, and global optimization.
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in Residual Stresses and Distortion in Quenched and Tempered Steels
> Steel Heat Treating Technologies
Published: 30 September 2014
Fig. 33 Experimental and numerical results for the diameter change (Δ D ) along the height of the AISI 4140 (German grade 42CrMo4) cylinder using (a) the dimensional change from measurement and numerical simulation, (b) the influence of the material model. Source: Ref 37 , 75
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Published: 01 February 2024
Fig. 27 Correspondence between relative changes in length after transformation-free cooling of cylinders made of austenitic steels, calculated by numerical simulations and predicted by regression model. Source: Ref 45
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