Toward transient finite element simulation of thermal deformation of machine tools in real-time

07/12/2017
by   Andreas Naumann, et al.
0

Finite element models without simplifying assumptions can accurately describe the spatial and temporal distribution of heat in machine tools as well as the resulting deformation. In principle, this allows to correct for displacements of the Tool Centre Point and enables high precision manufacturing. However, the computational cost of FEM models and restriction to generic algorithms in commercial tools like ANSYS prevents their operational use since simulations have to run faster than real-time. For the case where heat diffusion is slow compared to machine movement, we introduce a tailored implicit-explicit multi-rate time stepping method of higher order based on spectral deferred corrections. Using the open-source FEM library DUNE, we show that fully coupled simulations of the temperature field are possible in real-time for a machine consisting of a stock sliding up and down on rails attached to a stand.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
09/08/2019

Fast explicit dynamics finite element algorithm for transient heat transfer

This paper presents a novel methodology for fast simulation and analysis...
research
06/28/2019

Detection of time-varying heat sources using an analytic forward model

We present a simple, analytic point source model for both static and tim...
research
02/21/2019

GPU Acceleration of Real-Time Control Loops

Extreme Ultraviolet (EUV) photolithography is seen as the key enabler fo...
research
04/11/2023

Scalable Real-Time Vehicle Deformation for Interactive Environments

This paper proposes a real-time physically-based method for simulating v...
research
06/29/2021

Predicting Surface Heat Flux on Complex Systems via Conv-LSTM

Existing algorithms with iterations as the principle for 3D inverse heat...
research
05/12/2020

Instabilities driven by frontal polymerization in thermosetting polymers and composites

Frontal Polymerization (FP) was recently demonstrated as a faster, more ...

Please sign up or login with your details

Forgot password? Click here to reset