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computational algorithm

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Published: 01 December 2009
Fig. 7 Computational algorithm for the incremental upper bound method. The discrete elements are chosen to represent workpiece geometry—plane strain, axisymmetric, or three-dimensional (blocks)—and the calculation updated as the die compresses the workpiece incrementally. Source: Ref 34 More
Series: ASM Handbook
Volume: 4C
Publisher: ASM International
Published: 09 June 2014
DOI: 10.31399/asm.hb.v04c.a0005898
EISBN: 978-1-62708-167-2
... in the transport equation and computational schemes for the fluid dynamics equation. The aspects of computational algorithms for specific magnetohydrodynamic problems with mutual influence of the magnetic field and melt flow due to the changing shape of the free surface are also considered. The article illustrates...
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Published: 01 November 1995
Fig. 40 Data requirements of the TCARES (toughened ceramics analysis and reliability evaluation of structures) computer algorithm for analyzing component reliability More
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Published: 01 December 2009
Fig. 4 Algorithm of computer program for creation of neural-network model More
Series: ASM Handbook
Volume: 4C
Publisher: ASM International
Published: 09 June 2014
DOI: 10.31399/asm.hb.v04c.a0005892
EISBN: 978-1-62708-167-2
... algorithms and multiobjective evolutionary strategy algorithms associated with evolutionary computing. The article provides information on field-based optimization problems. It also discusses the design of the pancake inductor that implies the solution of coupled electromagnetic and thermal fields, along...
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
... 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...
Series: ASM Handbook
Volume: 22B
Publisher: ASM International
Published: 01 November 2010
DOI: 10.31399/asm.hb.v22b.a0005505
EISBN: 978-1-62708-197-9
... for problem 1 goes at the expense of the efficiency to solve all other problems 2, … , n . The minimum value of f 1 is also found by method B, but this method is not as efficient as the “lucky guess” method. Method B is a genetic algorithm. In its first iteration, method B first computes a number...
Series: ASM Handbook
Volume: 4C
Publisher: ASM International
Published: 09 June 2014
DOI: 10.31399/asm.hb.v04c.a0005879
EISBN: 978-1-62708-167-2
... Abstract Induction heating computations deal with a multiphysics problem containing analysis of several coupled physical fields such as electromagnetic, temperature, mechanical, and metallurgical. In order to solve coupled electromagnetic-temperature field problems, it is necessary to develop...
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
... conjugate gradient, variable learning rate, and Levenberg-Marquardt. These training algorithms are standard. Their mathematics can be found in many NN books. In software, the training algorithms are implemented in the computer code. The method used in this article is the Levenberg-Marquardt algorithm...
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Published: 09 June 2014
Fig. 37 Flowchart of semi-implicit method for pressure linked equation (SIMPLE) algorithm used to compute velocity component and pressure on a staggered grid More
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Published: 31 October 2011
Fig. 6 (a) Technique to perform computational heat- and mass-transfer calculations for fillet welds using the coordinate transformation algorithm. (b) Typical result of such simulation shows the weld pool curvature as well as transients of temperature distributions. (c) Comparisons More
Image
Published: 01 November 2010
Fig. 6 (a) Technique to perform computational heat- and mass-transfer calculations for fillet welds using the coordinate transformation algorithm. (b) Typical result of such simulation shows the weld pool curvature as well as transients of temperature distributions. (c) Comparisons More
Series: ASM Handbook
Volume: 21
Publisher: ASM International
Published: 01 January 2001
DOI: 10.31399/asm.hb.v21.a0003394
EISBN: 978-1-62708-195-5
... Abstract Continuous fiber composite materials offer dramatic opportunities for producing lightweight laminates with tremendous performance capabilities. This article describes the kinematics of fabric deformation and explains the algorithms used in draping simulation. It discusses the basic...
Series: ASM Handbook
Volume: 4E
Publisher: ASM International
Published: 01 June 2016
DOI: 10.31399/asm.hb.v04e.a0006257
EISBN: 978-1-62708-169-6
..., and microstructural scale for homogenization of metal alloys. It also discusses the CALPHAD software to optimize the homogenization heat treatment and the Scheil module of the commercial thermodynamic modeling software. castings computational algorithm heat treatment homogenization incipient melt point...
Series: ASM Handbook
Volume: 22A
Publisher: ASM International
Published: 01 December 2009
DOI: 10.31399/asm.hb.v22a.a0005428
EISBN: 978-1-62708-196-2
... by comparing the observed behavior quantitatively with theory. The industrial applications of the model are also discussed. The article also provides a wide selection of the algorithms for implementing the Potts model, such as boundary-site models, n -fold way models, and parallel models, which are needed...
Series: ASM Handbook
Volume: 24A
Publisher: ASM International
Published: 30 June 2023
DOI: 10.31399/asm.hb.v24A.a0006994
EISBN: 978-1-62708-439-0
... Abstract Process optimization is the discipline of adjusting a process to optimize a specified set of parameters without violating engineering constraints. This article reviews data-driven optimization methods based on genetic algorithms and stochastic models and demonstrates their use...
Series: ASM Handbook Archive
Volume: 11
Publisher: ASM International
Published: 01 January 2002
DOI: 10.31399/asm.hb.v11.a0003514
EISBN: 978-1-62708-180-1
... components to design for appropriate levels of safety. Computational resources are becoming less of an impediment through enhancements in computational algorithms and computer efficiency. Factor of safety approaches may not give the desired reliability or may lead to overdesigned structures...
Series: ASM Handbook
Volume: 22A
Publisher: ASM International
Published: 01 December 2009
DOI: 10.31399/asm.hb.v22a.a0005432
EISBN: 978-1-62708-196-2
... Recrystallization Using a Cellular Automaton Model , Scr. Mater. , Vol 52 , 2005 , p 851 – 856 16. Ghosh S. , Gabane P. , Bose A. , and Chakraborti N. , Modeling of Recrystallization in Cold Rolled Copper Using Inverse Cellular Automata and Genetic Algorithms , Comput. Mater. Sci...
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
... nonlinear, interrelated electrothermal equations and to obtain precise quantitative results to compute optimal control algorithms. Cost Criteria A systems approach should be used when choosing the most appropriate cost function for a particular IHI optimal control problem. New possibilities emerge...
Series: ASM Handbook
Volume: 17
Publisher: ASM International
Published: 01 August 2018
DOI: 10.31399/asm.hb.v17.a0006452
EISBN: 978-1-62708-190-0
.... It also considers various methods of comparing the performance of arrays and imaging algorithms. The article provides a comparison of various advanced and nonlinear imaging algorithm and looks at some practical industrial applications of arrays. It concludes with some future perspectives for arrays in NDE...