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heat-input models

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Series: ASM Handbook
Volume: 24
Publisher: ASM International
Published: 15 June 2020
DOI: 10.31399/asm.hb.v24.a0006575
EISBN: 978-1-62708-290-7
... of the formation of residual stress during AM processing followed by a discussion on models commonly applied in AM modeling, such as heat-input models, material models, and material activation models. Information on experimental setup for validation and simulation of directed-energy deposition model...
Series: ASM Handbook
Volume: 6A
Publisher: ASM International
Published: 31 October 2011
DOI: 10.31399/asm.hb.v06a.a0005592
EISBN: 978-1-62708-174-0
...: Ref 62 Fig. 3 Eulerian versus Lagrangian models in welding Fig. 4 Outline of thermomechanical weld modeling Fig. 5 Illustration of double-ellipsoid heat-input model. Source: Ref 4 Fig. 8 Longitudinal residual-stress distribution computed by two-dimensional...
Series: ASM Handbook
Volume: 6
Publisher: ASM International
Published: 01 January 1993
DOI: 10.31399/asm.hb.v06.a0001481
EISBN: 978-1-62708-173-3
...Abstract Abstract This article briefly reviews the physical phenomena that influence the input-energy distribution. It discusses the several simplified and detailed heat source models used in the modeling of arc welding, high-energy-density welding, and resistance welding processes. arc...
Series: ASM Handbook
Volume: 6A
Publisher: ASM International
Published: 31 October 2011
DOI: 10.31399/asm.hb.v06a.a0005603
EISBN: 978-1-62708-174-0
...: electric arcs, laser beams, and electron beams. This article reviews the physical phenomena that influence the input-energy distribution of the heat source for fusion welding. It also discusses several simplified and detailed heat-source models that have been used in the modeling of arc welding, high...
Series: ASM Handbook
Volume: 4E
Publisher: ASM International
Published: 01 June 2016
DOI: 10.31399/asm.hb.v04e.a0006277
EISBN: 978-1-62708-169-6
... the integration of thermodynamic modeling, mobility database, and phase-transformation crystallography into phase-field modeling and its combination with transformation texture modeling to predict phase equilibrium, phase transformation, microstructure evolution, and transformation texture development during heat...
Series: ASM Handbook
Volume: 6A
Publisher: ASM International
Published: 31 October 2011
DOI: 10.31399/asm.hb.v06a.a0005637
EISBN: 978-1-62708-174-0
... temperature measurements during FSW of various metals. It considers the physical explanation of the heat input during FSW and the possible methods of their estimation. The article presents the experimental results of two analytical models, supplemented by experimental/numerical flow models on material flow...
Series: ASM Handbook
Volume: 22B
Publisher: ASM International
Published: 01 November 2010
DOI: 10.31399/asm.hb.v22b.a0005538
EISBN: 978-1-62708-197-9
...Abstract Abstract This article discusses process simulation applications such as casting, powder metallurgy, machining, surface engineering, heat treatment, and joining. The implementation of modeling and simulation tools requires accurate descriptions of material properties and process...
Series: ASM Handbook
Volume: 22B
Publisher: ASM International
Published: 01 November 2010
DOI: 10.31399/asm.hb.v22b.a0005526
EISBN: 978-1-62708-197-9
... shoulder = 2 3 π ω τ R 3 where the integration interval is set to [0, R ]. For a cylindrical pin surface, the heat-input power is modeled as: (Eq 27) Q pin = ( 2 π r r h ) τ ω r r = 2 π ω τ r r 2 h Heat-input models, as cribed previously...
Series: ASM Handbook
Volume: 6A
Publisher: ASM International
Published: 31 October 2011
DOI: 10.31399/asm.hb.v06a.a0005588
EISBN: 978-1-62708-174-0
... in. 700 1290 9.9 0.39 2.0 0.08 540 1000 14.2 0.56 4.1 0.16 300 570 19.8 0.78 9.9 0.39 Fig. 8 Effect of welding speed, V, on isotemperature contours of 304 stainless steel for 4.2 kJ/s (1 kcal/s) heat input Fig. 9 Effect of welding speed, V, on isotemperature...
Series: ASM Handbook
Volume: 6
Publisher: ASM International
Published: 01 January 1993
DOI: 10.31399/asm.hb.v06.a0001333
EISBN: 978-1-62708-173-3
...-flux model, two concentrations are required to determine the shape constant and the heat flux at the source center, q ˙ 0 . By integrating Eq 4 over the core heat area and the entire heat input domain ( r = 0 →∞), the shape factor can be determined by dividing the two integrals. The heat...
Series: ASM Handbook
Volume: 22B
Publisher: ASM International
Published: 01 November 2010
DOI: 10.31399/asm.hb.v22b.a0005544
EISBN: 978-1-62708-197-9
... in the electronics, automotive, petrochemical, turbomachine, and aerospace industries. The software is a comprehensive finite-difference, lumped parameter (circuit or network analogy) tool for heat-transfer design analysis and fluid flow analysis in complex systems and uses text-based input files. Cullimore...
Series: ASM Handbook
Volume: 4C
Publisher: ASM International
Published: 09 June 2014
DOI: 10.31399/asm.hb.v04c.a0005893
EISBN: 978-1-62708-167-2
..., etc.). Optimization Problems for Induction Mass Heating Processes This section discusses induction heating as a process under optimal control, mathematical models of a heating process, cost criteria, requirements to final temperature distribution within heated workpieces, control inputs...
Series: ASM Handbook
Volume: 22B
Publisher: ASM International
Published: 01 November 2010
DOI: 10.31399/asm.hb.v22b.a0005513
EISBN: 978-1-62708-197-9
... the deposit region. When material absorbs laser energy, its temperature rises, which increases absorptance. Thus, absorption measurement data need careful deconvolution to solve for absorptance. The controlling parameter for heat flow is the net rate of energy input, which equals the product of laser...
Series: ASM Handbook
Volume: 22B
Publisher: ASM International
Published: 01 November 2010
DOI: 10.31399/asm.hb.v22b.a0005529
EISBN: 978-1-62708-197-9
... and the constructive suggestions. In particular, thanks go to Surface Combustion for many valuable inputs during the study of furnace modeling. The fundamental principle of the model is the concept of energy conservation, which means the energy into the furnace system is equal to the heat absorbed by the furnace...
Series: ASM Handbook
Volume: 6A
Publisher: ASM International
Published: 31 October 2011
DOI: 10.31399/asm.hb.v06a.a0005611
EISBN: 978-1-62708-174-0
... heat input and higher deposition-layer height. (b) Less dendrite growth and formation of equiaxed grain structure in the bulk deposit with more moderate heat input and a smaller deposition-layer height. Source: Ref 10 . Courtesy of NASA Langley Research Center Fig. 4 Microstructures...
Series: ASM Handbook
Volume: 22A
Publisher: ASM International
Published: 01 December 2009
DOI: 10.31399/asm.hb.v22a.a0005407
EISBN: 978-1-62708-196-2
.... Examples of the types of correlations that can be modeled are schematically shown in Fig. 1 . The input parameters for each particular case of output are chosen based on the physical background of the process; all relevant input parameters must be represented. The graphical user interfaces...
Series: ASM Handbook
Volume: 22B
Publisher: ASM International
Published: 01 November 2010
DOI: 10.31399/asm.hb.v22b.a0005537
EISBN: 978-1-62708-197-9
... capacity—so these tests are not described here ee the Section “Input Data for Simulations” in this Handbook for several articles on thermophysical properties). Heat-transfer coefficient data should include transfer from the furnace to the cooling station in addition to the main quench itself (fan...
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
... are as follows: Initial conditions: Temperature as calculated from the packing-stage analysis Boundary conditions—mold: Interface input from the PIM feedstock cooling analysis, convection heat transfer associated with the coolant, natural convection heat transfer with air, and thermal resistance...
Series: ASM Handbook
Volume: 6A
Publisher: ASM International
Published: 31 October 2011
DOI: 10.31399/asm.hb.v06a.a0005553
EISBN: 978-1-62708-174-0
... systems, such as bead geometry or penetration control, are well-understood phenomena that can be accurately modeled from a theoretical standpoint, but the computational complexity of the numerical models and the multiple-input, multiple-output nature of the required control laws have precluded...
Series: ASM Handbook
Volume: 14B
Publisher: ASM International
Published: 01 January 2006
DOI: 10.31399/asm.hb.v14b.a0005153
EISBN: 978-1-62708-186-3
.... These weights are calculated by an iterative method during the training process when the network is fed with a large amount of training data, input and output pairs that represent the pattern attempting to be modeled. It has been shown that a two-layer neural network, one made up of an input layer, a hidden...