Skip Nav Destination
Close Modal
By
Itsuo Ohnaka
By
John E. Allison, Mei Li, XuMing Su
By
Jianzheng Guo, Mark Samonds
By
Ingvar L. Svensson, Jakob Olofsson
By
Matthew John M. Krane, Vaughan R. Voller, Ben Q. Li
By
Laurentiu Nastac
By
Ch.-A. Gandin, I. Steinbach
By
Ch.-A. Gandin, I. Steinbach
Search Results for
casting simulation
Update search
Filter
- Title
- Authors
- Author Affiliations
- Full Text
- Abstract
- Keywords
- DOI
- ISBN
- EISBN
- Issue
- ISSN
- EISSN
- Volume
- References
Filter
- Title
- Authors
- Author Affiliations
- Full Text
- Abstract
- Keywords
- DOI
- ISBN
- EISBN
- Issue
- ISSN
- EISSN
- Volume
- References
Filter
- Title
- Authors
- Author Affiliations
- Full Text
- Abstract
- Keywords
- DOI
- ISBN
- EISBN
- Issue
- ISSN
- EISSN
- Volume
- References
Filter
- Title
- Authors
- Author Affiliations
- Full Text
- Abstract
- Keywords
- DOI
- ISBN
- EISBN
- Issue
- ISSN
- EISSN
- Volume
- References
Filter
- Title
- Authors
- Author Affiliations
- Full Text
- Abstract
- Keywords
- DOI
- ISBN
- EISBN
- Issue
- ISSN
- EISSN
- Volume
- References
Filter
- Title
- Authors
- Author Affiliations
- Full Text
- Abstract
- Keywords
- DOI
- ISBN
- EISBN
- Issue
- ISSN
- EISSN
- Volume
- References
NARROW
Format
Topics
Book Series
Date
Availability
1-20 of 804
Search Results for casting simulation
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
1
Sort by
Image
Metal casting simulation. (a) Schematic sand casting configuration. (b) Mes...
Available to PurchasePublished: 01 December 2008
Fig. 3 Metal casting simulation. (a) Schematic sand casting configuration. (b) Mesh (five million elements) for casting and cooling channels. (c) Computed local solidification times ranging from 1 to 3000 s. Source: Ref 16
More
Image
Metal casting simulation. (a) Typical sand-casting configuration. (b) Autom...
Available to PurchasePublished: 01 December 2009
Fig. 7 Metal casting simulation. (a) Typical sand-casting configuration. (b) Automatically generated mesh (five million elements) for casting and cooling channels ( Ref 78 ). (c) Computed local solidification times, which range from 1 to 3000 s ( Ref 78 )
More
Image
A metal casting simulation. (a) Typical sand-casting configuration. (b) Aut...
Available to PurchasePublished: 01 January 1997
Fig. 9 A metal casting simulation. (a) Typical sand-casting configuration. (b) Automatically generated mesh (five million elements) for casting and cooling channels ( Ref 71 ). (c) Computed local solidification times, which range from 1 to 3000s ( Ref 71 )
More
Book Chapter
Practical Issues in Computer Simulation of Casting Processes
Available to PurchaseBook: Casting
Series: ASM Handbook
Volume: 15
Publisher: ASM International
Published: 01 December 2008
DOI: 10.31399/asm.hb.v15.a0005239
EISBN: 978-1-62708-187-0
... Abstract This article illustrates the simulation procedure of casting process. It describes important elements and points of the simulations. These include the setting of clear simulation objectives, selection of proper simulation code, hints in modeling of shape and phenomena, initial...
Abstract
This article illustrates the simulation procedure of casting process. It describes important elements and points of the simulations. These include the setting of clear simulation objectives, selection of proper simulation code, hints in modeling of shape and phenomena, initial and boundary conditions, physical properties, enmeshing, and evaluation of simulation results. The article also provides some insights into the application of models to real world problem for foundry process engineers.
Book Chapter
Integrated Computational Materials Engineering
Available to PurchaseSeries: ASM Handbook
Volume: 22A
Publisher: ASM International
Published: 01 December 2009
DOI: 10.31399/asm.hb.v22a.a0005427
EISBN: 978-1-62708-196-2
.... integrated computational material engineering computer simulation mathematical model computer-aided engineering tool virtual aluminum casting cast aluminum microstructure mechanical properties model validation process design INTEGRATED computational materials engineering refers to the use...
Abstract
Integrated computational materials engineering refers to the use of computer simulations that integrate mathematical models of complex metallurgical processes with computer models used in component and process design. This article outlines an example of a computer-aided engineering tool, such as virtual aluminum castings (VAC), developed and implemented for quickly developing durable cast aluminum power train components. It describes the procedures for the model development of the VAC system. These procedures include linking the manufacturing process to microstructure, linking microstructures to mechanical properties, linking material properties to performance prediction, and model validation and integration into the engineering process. The article discusses the benefits of the VAC system in process selection, process optimization, and improving the component design criteria.
Image
Simulated fluid flow in a steel continuous casting tundish with (a) a conve...
Available to PurchasePublished: 01 December 2008
Fig. 7 Simulated fluid flow in a steel continuous casting tundish with (a) a conventional baffle configuration and (b) a double weir and dam configuration. Source: Ref 26
More
Image
Simulation of columnar-to-equiaxed transition in a conventionally cast Al-7...
Available to PurchasePublished: 01 December 2004
Fig. 6 Simulation of columnar-to-equiaxed transition in a conventionally cast Al-7Si alloy. (a) Calculation with no fluid flow. (b) Calculation that includes fluid flow. Source: Ref 14
More
Image
Published: 31 August 2017
Image
Simulated distribution of yield strength in a nodular graphite iron casting...
Available to PurchasePublished: 31 August 2017
Image
Published: 31 August 2017
Book Chapter
Modeling of Casting and Solidification Processes
Available to PurchaseSeries: ASM Handbook
Volume: 22B
Publisher: ASM International
Published: 01 November 2010
DOI: 10.31399/asm.hb.v22b.a0005501
EISBN: 978-1-62708-197-9
... several commonly used microstructure simulation methods and presents ductile iron casting as an example to demonstrate the ability of microstructure simulation. The predictions for the major defects of casting, such as porosity, hot tearing, and macrosegregation, are highlighted. Finally, several industry...
Abstract
This article reviews the topic of computational thermodynamics and introduces the calculation of solidification paths for casting alloys. It discusses the calculation of thermophysical properties and the fundamentals of the modeling of solidification processes. The article describes several commonly used microstructure simulation methods and presents ductile iron casting as an example to demonstrate the ability of microstructure simulation. The predictions for the major defects of casting, such as porosity, hot tearing, and macrosegregation, are highlighted. Finally, several industry applications are presented.
Book Chapter
Numerical Methods for Casting Applications
Available to PurchaseBook: Casting
Series: ASM Handbook
Volume: 15
Publisher: ASM International
Published: 01 December 2008
DOI: 10.31399/asm.hb.v15.a0005233
EISBN: 978-1-62708-187-0
... systems geometry arbitrary Lagrangian-Euler equation SIMULATION OF CASTING is motivated by the need to minimize casting defects by understanding and controlling the fluid flow and thermal processes throughout the casting process. However, modeling of casting processes is difficult because...
Abstract
Computational fluid dynamics (CFD) is one of the tools available for understanding and predicting the performance of thermal-fluids systems. This article qualitatively describes the basic principles of CFD. The numerical methods, such as geometry description and discretization, used to solve the CFD equations are discussed. The article also demonstrates the application of CFD to a few casting problems.
Book Chapter
Computer-Aided Prediction of Mechanical Properties
Available to PurchaseSeries: ASM Handbook
Volume: 1A
Publisher: ASM International
Published: 31 August 2017
DOI: 10.31399/asm.hb.v01a.a0006307
EISBN: 978-1-62708-179-5
... on component design, metallurgy, and casting method. Factors such as local wall thickness influence the coarseness and type of microstructure that develops, and the material will have local properties dependent on the local metallurgical and thermal history ( Ref 1 ). Simulations of the stress/strain behavior...
Abstract
This article describes a method to predict mechanical properties of cast iron materials and illustrates how to use the predictions in computer-aided tools for the analysis of castings subjected to load. It outlines some ways to predict the hardness and elastic modulus of cast iron without going into dislocation theory. The article discusses modeling of hardness in cast iron based on a regular solution equation in which the properties of each phase depend on chemical composition and coarseness. It describes the evaluation of material parameters from the tensile stress-strain curve. The article concludes with an illustration of a finite-element method (FEM) model containing heterogeneous mechanical properties using local material definitions.
Book Chapter
Software for Computational Materials Modeling and Simulation
Available to PurchaseSeries: ASM Handbook
Volume: 22B
Publisher: ASM International
Published: 01 November 2010
DOI: 10.31399/asm.hb.v22b.a0005544
EISBN: 978-1-62708-197-9
.... www.integratedsoft.com http://www.integratedsoft.com/products/inducto/default.aspx JSCast JSCast is a three-dimensional integrated computer-aided engineering system for casting optimization and includes mold-filling, solidification, and deformation simulations. QUALICA, Inc. http://www.jscast.com.cn/english.htm...
Abstract
This article demonstrates the depth and breadth of commercial and third-party software packages available to simulate metals processes. It provides a representation of the spectrum of applications from simulation of atomic-level effects to manufacturing optimization. The article tabulates the software name, function or process applications, vendor or developer, and website information.
Series: ASM Handbook
Volume: 2A
Publisher: ASM International
Published: 30 November 2018
DOI: 10.31399/asm.hb.v02a.a0006498
EISBN: 978-1-62708-207-5
... conditions, and simulation for semisolid casting. It concludes with a review of several components produced by each of the various semisolid casting processes. aluminum alloys die design heat treatment rheocasting semisolid metal casting thixocasting thixomolding process simulation...
Abstract
Semisolid casting is a near-net shape manufacturing process capable of producing thick- and thin-walled complex-shaped components having excellent mechanical and functional performance. This article begins with a discussion on the history of semisolid processing and the advantages claimed for semisolid casting. It describes the four notable processes used to produce semisolid castings: thixocasting, rheocasting, thixomolding, and wrought processes. Most commercial aluminum semisolid casters use either thixocasting or rheocasting. The article discusses the die design, process conditions, and simulation for semisolid casting. It concludes with a review of several components produced by each of the various semisolid casting processes.
Book Chapter
Modeling of Transport Phenomena and Electromagnetics
Available to PurchaseBook: Casting
Series: ASM Handbook
Volume: 15
Publisher: ASM International
Published: 01 December 2008
DOI: 10.31399/asm.hb.v15.a0005234
EISBN: 978-1-62708-187-0
..., their application in the modeling of casting processes is challenging. In particular, many casting models require the transient tracking of a front or free surface, for example, the solid-liquid front in microstructural evolution models or the metal-air free surface during simulation of mold filling (pouring...
Abstract
This article examines the critical features of four key areas of modeling transport phenomena associated with casting processes. These include heat and species transport in a metal alloy, flow of the liquid metal, tracking of the free metal-gas surface, and inducement of metal flow via electromagnetic fields. Conservation equations that represent important physical phenomena during casting processes are presented. The article provides a discussion on how the physical phenomena can be solved. It provides information on a well-established array of general and specific computational tools that can be readily applied to modeling casting processes. The article also summarizes the key features of the conservation equations in these tools.
Book Chapter
Computational Modeling of Gas Evolution in Sand Molds
Available to PurchaseSeries: ASM Handbook
Volume: 1A
Publisher: ASM International
Published: 31 August 2017
DOI: 10.31399/asm.hb.v01a.a0006298
EISBN: 978-1-62708-179-5
.... It illustrates numerical modeling to study the gas evolution from furan binder/silica sand mold aggregate for aluminum, cast iron, and steel alloy cast components. The article discusses simulation results and experimental validation for aluminum alloys, cast iron castings, and steel alloys, as well...
Abstract
Modeling of gas evolution during sand mold castings is one of the most important technical and environmental issues facing the metal casting industry. This article focuses on describing the capability of numerically predicting gas evolution for the furan binder/silica sand system. It illustrates numerical modeling to study the gas evolution from furan binder/silica sand mold aggregate for aluminum, cast iron, and steel alloy cast components. The article discusses simulation results and experimental validation for aluminum alloys, cast iron castings, and steel alloys, as well as a parametric study that investigated the effects of various variables. It concludes with information on the application of 3-D modeling methodology to investigate gas emissions in furan binder/silica sand castings for steel 4140 and aluminum A356 alloys.
Book Chapter
Modeling of Microstructure Evolution during Solidification Processing
Available to PurchaseSeries: ASM Handbook
Volume: 22A
Publisher: ASM International
Published: 01 December 2009
DOI: 10.31399/asm.hb.v22a.a0005406
EISBN: 978-1-62708-196-2
... in castings and applications to realistic casting conditions is discussed. Direct Microstructure Simulation Using the Phase Field Method A phase field Φ α ( x ) is an indicator function of the real space coordinate x , indicating that the material at this coordinate exists in the state of the phase...
Abstract
This article focuses on the intermediate length scales, where transport phenomena govern the spatial and temporal evolution of a structure. It presents the cellular automaton (CA) and phase field (PF) methods that represent the state of the art for modeling macrostructure and microstructure. The article describes the principles of the PF method and provides information on the applications of the PF method. The CA model is introduced as a computationally efficient method to predict grain structures in castings using the mesoscopic scale of individual grains. The article discusses the coupling of the CA to macroscopic calculation of heat, flow, and mass transfers in castings and applications to realistic casting conditions.
Book: Casting
Series: ASM Handbook
Volume: 15
Publisher: ASM International
Published: 01 December 2008
DOI: 10.31399/asm.hb.v15.a0009014
EISBN: 978-1-62708-187-0
.... permanent mold aluminum casting casting simulation sand mold aluminum casting casting design cost drivers structured team approach shape optimization rigging system design DESIGN is the critical first step in the development of cost effective, high quality castings. Designing a successful...
Abstract
This article discusses issues that impact a good casting design. The focus is on the casting design in general, and on sand and permanent mold aluminum casting in particular. The article examines the casting design process from a variety of design and processing perspectives. It summarizes several strategies for improving the traditional casting design process. The article also proposes some possible approaches for implementing these strategies. It presents a vision for the development of comprehensive casting design guidelines along with specific development objectives.
Book Chapter
Direct Modeling of Structure Formation
Available to PurchaseBook: Casting
Series: ASM Handbook
Volume: 15
Publisher: ASM International
Published: 01 December 2008
DOI: 10.31399/asm.hb.v15.a0005236
EISBN: 978-1-62708-187-0
... to predict grain structures in castings. Finally, the coupling of the CA to macroscopic calculation of heat, flow, and mass transfers in castings and applications to realistic casting conditions is discussed. Direct Microstructure Simulation Using the Phase Field Method A phase field Φ α ( x...
Abstract
Modeling of structure formation in casting of alloys involves several length scales, ranging from the atomic level to macroscopic scale. Intermediate length scales are used to define the microstructure of the growing phases and the grain structure. This article discusses the principles and applications of the phase field method and the cellular automaton method for modeling the direct evolution of structure at the intermediate length scales, where transport phenomena govern the spatial and temporal evolution of the structure that involves nucleation and growth.
1