Numerical simulation of metal machining process with Eulerian and Total Lagrangian SPH

Islam, Rushdie Ibne; Bansal, Ankur; Peng, Chong

doi:10.1016/j.enganabound.2020.05.007

Cited by 16 publications

(21 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The SPH method was originally developed for discrete problems in astrophysics [154]. Recently, it has been used as a discretization method for continuous problems of high-velocity impacts [155], pseudo-spring SPH simulations on the perforation of metal targets [156], and the metal machining process with Eulerian and Total Lagrangian (TL) SPH [157]. It is often included in a broad class of particle methods.…”

Section: Meshless Methodsmentioning

confidence: 99%

Multiphysics Modeling and Numerical Simulation in Computer-Aided Manufacturing Processes

Trzepieciński

Dell’Isola

Lemu

2021

Metals

View full text Add to dashboard Cite

The concept of Industry 4.0 is defined as a common term for technology and the concept of new digital tools to optimize the manufacturing process. Within this framework of modular smart factories, cyber-physical systems monitor physical processes creating a virtual copy of the physical world and making decentralized decisions. This article presents a review of the literature on virtual methods of computer-aided manufacturing processes. Numerical modeling is used to predict stress and temperature distribution, springback, material flow, and prediction of phase transformations, as well as for determining forming forces and the locations of potential wrinkling and cracking. The scope of the review has been limited to the last ten years, with an emphasis on the current state of knowledge. Intelligent production driven by the concept of Industry 4.0 and the demand for high-quality equipment in the aerospace and automotive industries forces the development of manufacturing techniques to progress towards intelligent manufacturing and ecological production. Multi-scale approaches that tend to move from macro- to micro- parameters become very important in numerical optimization programs. The software requirements for optimizing a fully coupled thermo-mechanical microstructure then increase rapidly. The highly advanced simulation programs based on our knowledge of physical and mechanical phenomena occurring in non-homogeneous materials allow a significant acceleration of the introduction of new products and the optimization of existing processes.

show abstract

Section: Meshless Methodsmentioning

confidence: 99%

Multiphysics Modeling and Numerical Simulation in Computer-Aided Manufacturing Processes

Trzepieciński

Dell’Isola

Lemu

2021

Metals

View full text Add to dashboard Cite

show abstract

“…In this study, the Johnson–Cook model is used to consider plastic hardening, rate dependency, and thermal softening 26,56 in the Taylor and ballistic penetration tests. The yield stress

{\sigma}_y

of this model is expressed as

{\sigma}_y=\left(A+B{\overline{\varepsilon}}_{pl}^n\right)\left(1+C\log {\dot{\overline{\varepsilon}}}_{pl}^{\ast}\right)\left(1-{T}^{\ast m}\right),\kern0.5em

where

A

is the initial yield stress of the material, and

B

C

m

, and

n

are the hardening parameters.…”

Section: Generalized Coordinate Smoothed Particle Hydrodynamicsmentioning

confidence: 99%

“…SPH can is the basis of many other meshless methods and is being continuously developed in many practical engineering problems. Specifically, crack initiation, propagation, and failure are basic and important issues in solid mechanics, and numerous analyses have been performed using SPH 23‐28 …”

Section: Introductionmentioning

confidence: 99%

Generalized coordinate smoothed particle hydrodynamics with an overset method in total Lagrangian formulation

Deng

Kawagoe

et al. 2022

Numerical Meth Engineering

View full text Add to dashboard Cite

This study proposes a generalized coordinate smoothed particle hydrodynamics (GCSPH) method coupled with an overset method using the total Lagrangian formulation for solving large deformation and crack propagation problems. In GCSPH, the physical space is decomposed into multiple domains, each of which is mapped to a generalized space to avoid coordinate singularities as well as to flexibly change the spatial resolution. The SPH particles are then non-uniformly distributed in the physical space (e.g., typically in a boundary-conforming manner) and defined uniformly in each generalized space, similar to the standard SPH. The SPH particles in the generalized and physical spaces are numerically related by coordinate transformation matrices. The use of non-uniform particle distributions decreases the total number of particles, thus significantly reducing the simulation cost. Three numerical cases: three-dimensional brittle crack propagation, Taylor impact, and plugging failure, are presented to validate the proposed method. The numerical results are sufficiently accurate compared with the standard total Lagrangian SPH. Furthermore, these results also show the benefits of GCSPH, which not only effectively reduces the computational cost but also eliminates the effects of particle arrangement. These advantages allow GCSPH to perform high-resolution three-dimensional problems, which are otherwise costly to perform with the standard SPH.

show abstract

“…In this study, Johnson-Cook model is utilized to consider plastic hardening, rate dependency, and thermal softening [36]. The yield stress σ y is expressed as…”

Section: Thermo-visco-plastic Behaviormentioning

confidence: 99%

“…The Von Mises yield criterion y f = √ 3J 2 − σ y is adopted to determine if the stress state beyond the yield surface, where J 2 = S : S/2 is a second invariant of deviatoric stress tensor S. The Wilkins criterion S n = c f S is used for a return mapping when the trial elastic stress state exceeds the yield surface, where c f = min(σ y / √ 3J 2 , 1), and S is the corrected deviatoric stress tensor. Finally, the following equations are used to compute the increment of plastic strain, the increment of effective plastic strain, and the accumulated plastic work density [36] as follows:…”

Section: Thermo-visco-plastic Behaviormentioning

confidence: 99%

Generalized smoothed particle hydrodynamics with overset methods in total Lagrangian formulations

Deng,

Abe,

Okabe

2021

Preprint

View full text Add to dashboard Cite

This study proposes a generalized coordinates based smoothed particle hydrodynamics (GSPH) method with overset methods using a Total Lagrangian (TL) formulation for large deformation and crack propagation problems. In the proposed GSPH, the physical space is decomposed into multiple domains, each of which is mapped to a local coordinate space (generalized space) to avoid coordinate singularities as well as to flexibly change the spatial resolution. The smoothed particle hydrodynamics (SPH) particles are then non-uniformly, e.g., typically in the boundary-conforming way, distributed in the physical space while they are defined uniformly in each generalized space similarly to the normal SPH method, which are numerically related by a coordinate transformation matrix. By solving a governing equation in each generalized space, the shape and size of the SPH kernel can be spatially changed in the physical space so that a spatial resolution is adaptively varied a priori depending on the deformation characteristics, and thus, a low-cost calculation with the less number of particles is achieved in complex shape structures.

show abstract

Numerical simulation of metal machining process with Eulerian and Total Lagrangian SPH

Cited by 16 publications

References 39 publications

Multiphysics Modeling and Numerical Simulation in Computer-Aided Manufacturing Processes

Multiphysics Modeling and Numerical Simulation in Computer-Aided Manufacturing Processes

Generalized coordinate smoothed particle hydrodynamics with an overset method in total Lagrangian formulation

Generalized smoothed particle hydrodynamics with overset methods in total Lagrangian formulations

Contact Info

Product

Resources

About