Quantitative evaluation of SPH in TIG spot welding

IF 2.8 3区工程技术 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS

Computational Particle Mechanics Pub Date : 2022-04-01 DOI:10.1007/s40571-022-00465-x

Stefan Rhys Jeske, Marek Sebastian Simon, Oleksii Semenov, Jan Kruska, Oleg Mokrov, Rahul Sharma, Uwe Reisgen, Jan Bender

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引用次数: 5

Abstract

While the application of the Smoothed Particle Hydrodynamics (SPH) method for the modeling of welding processes has become increasingly popular in recent years, little is yet known about the quantitative predictive capability of this method. We propose a novel SPH model for the simulation of the tungsten inert gas (TIG) spot welding process and conduct a thorough comparison between our SPH implementation and two finite element method (FEM)-based models. In order to be able to quantitatively compare the results of our SPH simulation method with grid-based methods, we additionally propose an improved particle to grid interpolation method based on linear least-squares with an optional hole-filling pass which accounts for missing particles. We show that SPH is able to yield excellent results, especially given the observed deviations between the investigated FEM methods and as such, we validate the accuracy of the method for an industrially relevant engineering application.

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TIG点焊SPH的定量评价

近年来，光滑粒子流体动力学(SPH)方法在焊接过程建模中的应用越来越受欢迎，但人们对该方法的定量预测能力知之甚少。本文提出了一种用于钨惰性气体(TIG)点焊过程模拟的SPH模型，并将SPH实现与两种基于有限元方法(FEM)的模型进行了全面比较。为了将SPH模拟方法的结果与基于网格的方法进行定量比较，我们还提出了一种改进的基于线性最小二乘的粒子到网格插值方法，该方法带有可选的填充孔通道，用于弥补缺失的粒子。我们表明，SPH能够产生出色的结果，特别是考虑到所研究的FEM方法之间的观察偏差，因此，我们验证了该方法在工业相关工程应用中的准确性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Computational Particle Mechanics Mathematics-Computational Mathematics

CiteScore

5.70

自引率

9.10%

发文量

期刊介绍： GENERAL OBJECTIVES: Computational Particle Mechanics (CPM) is a quarterly journal with the goal of publishing full-length original articles addressing the modeling and simulation of systems involving particles and particle methods. The goal is to enhance communication among researchers in the applied sciences who use "particles'''' in one form or another in their research. SPECIFIC OBJECTIVES: Particle-based materials and numerical methods have become wide-spread in the natural and applied sciences, engineering, biology. The term "particle methods/mechanics'''' has now come to imply several different things to researchers in the 21st century, including: (a) Particles as a physical unit in granular media, particulate ﬂows, plasmas, swarms, etc., (b) Particles representing material phases in continua at the meso-, micro-and nano-scale and (c) Particles as a discretization unit in continua and discontinua in numerical methods such as Discrete Element Methods (DEM), Particle Finite Element Methods (PFEM), Molecular Dynamics (MD), and Smoothed Particle Hydrodynamics (SPH), to name a few.