Electromagnetic-Thermal Coupling Simulation by ANSYS Multiphysics of Induction Heater

Jiang, Ya Peng; Wang, Dong; Zhang, Qing Hu; Chen, Jun Quan

doi:10.4028/www.scientific.net/amm.701-702.820

Cited by 6 publications

(3 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the following, the partial differential equations for the magnetodynamics and the thermodynamics are presented and a coupled finite element model is derived. Similar approaches are discussed in [6,7].…”

Section: Multiphysical Simulationmentioning

confidence: 92%

Multiphysical Simulation, Model Order Reduction (ECSW) and Experimental Validation of an Active Magnetic Bearing

et al. 2022

View full text Add to dashboard Cite

Model order reduction techniques can be used during the operation phase of a product to generate virtual sensor outputs and enable diagnosis and monitoring systems. This contribution shows an approach with the example of an active magnetic bearing. The reduced model is used to calculate a non-measurable physical quantity (here force) and uses a measurable quantity (temperature) to check for plausibility. As a test case, the dynamic force response under the influence of varying eddy currents due to temperature changes is investigated. Using a special test rig with a 6-dof force measurement platform, the effects are shown and the simulation results are validated.

show abstract

Section: Multiphysical Simulationmentioning

confidence: 92%

Multiphysical Simulation, Model Order Reduction (ECSW) and Experimental Validation of an Active Magnetic Bearing

et al. 2022

View full text Add to dashboard Cite

show abstract

“…Using the multi-physics ANSYS Electromagnetics and Workbench, finite element analyses were carried out to obtain the efficient depth of cut. The governing equation of the eddy current analysis can be expressed using Maxwell’s equations, as follows, Equation (1) [26]. ∇×(1μ0μr∇×normalA)+sans-serifσ∂A∂t−Js=0 where A is the magnetic vector potential, Js is the source current density, μ0 is the vacuum magnetic permeability, μr is the relative magnetic permeability and σ is the electrical conductivity.…”

Section: Finite Element Analysismentioning

confidence: 99%

A Study on the Optimal Machining Parameters of the Induction Assisted Milling with Inconel 718

Kim

Lee

2019

Materials

View full text Add to dashboard Cite

This paper focuses on an analysis of tool wear and optimum machining parameter in the induction assisted milling of Inconel 718 using high heat coated carbide and uncoated carbide tools. Thermally assisted machining is an effective machining method for difficult-to-cut materials such as nickel-based superalloy, titanium alloy, etc. Thermally assisted machining is a method of softening the workpiece by preheating using a heat source, such as a laser, plasma or induction heating. Induction assisted milling is a type of thermally assisted machining; induction preheating uses eddy-currents and magnetic force. Induction assisted milling has the advantages of being eco-friendly and economical. Additionally, the preheating temperature can be easily controlled. In this study, the Taguchi method is used to obtain the major parameters for the analysis of cutting force, surface roughness and tool wear of coated and uncoated tools under various machining conditions. Before machining experiments, a finite element analysis is performed to select the effective depth of the cut. The S/N ratio and ANOVA of the cutting force, surface roughness and tool wear are analyzed, and the response optimization method is used to suggest the optimal machining parameters.

show abstract

“…In the latter, a bi-directional communication between multiple physics exists. Although the computational burden of a two-way coupling approach is higher than the one-way, it is often the preferred choice because of an increased prediction of physical phenomena [23] [24]. However, depending on specific cases, a mono-directional transfer turns out to be a good trade-off when the interaction between different modules is negligible or when an iterative algorithm enables to lower the computational error for the equilibrium of coupled non-linear field equations [25].…”

Section: Accepted Manuscriptmentioning

confidence: 99%

A coupled multiphysics FEM model to investigate electromagnetic, thermal and mechanical effects in complex assemblies: The design of the High-Luminosity Large Hadron Collider beam screen

Morrone

Garion

Aurisicchio

et al. 2018

Applied Mathematical Modelling

View full text Add to dashboard Cite

This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. Highlights • A multiphysics model is proposed to assess the mechanical response of a complex assembly to a magnetic field variation. • The one-way and two-way couplings between the magnetic, thermal and mechanical physics are fully investigated.

show abstract

Electromagnetic-Thermal Coupling Simulation by ANSYS Multiphysics of Induction Heater

Cited by 6 publications

References 6 publications

Multiphysical Simulation, Model Order Reduction (ECSW) and Experimental Validation of an Active Magnetic Bearing

Multiphysical Simulation, Model Order Reduction (ECSW) and Experimental Validation of an Active Magnetic Bearing

A Study on the Optimal Machining Parameters of the Induction Assisted Milling with Inconel 718

A coupled multiphysics FEM model to investigate electromagnetic, thermal and mechanical effects in complex assemblies: The design of the High-Luminosity Large Hadron Collider beam screen

Contact Info

Product

Resources

About