A Review of Numerical Techniques for Frictional Contact Analysis

This review analyzes numerical techniques for frictional contact problems, highlighting their strengths and limitations in addressing inherent nonlinearities and computational demands. Finite element methods (FEM), while dominant due to versatility, often require computationally expensive iterative...

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Main Authors: Govind Vashishtha, Sumika Chauhan, Riya Singh, Manpreet Singh, Ghanshyam G. Tejani
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Lubricants
Subjects:
Online Access:https://www.mdpi.com/2075-4442/13/1/18
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author Govind Vashishtha
Sumika Chauhan
Riya Singh
Manpreet Singh
Ghanshyam G. Tejani
author_facet Govind Vashishtha
Sumika Chauhan
Riya Singh
Manpreet Singh
Ghanshyam G. Tejani
author_sort Govind Vashishtha
collection DOAJ
description This review analyzes numerical techniques for frictional contact problems, highlighting their strengths and limitations in addressing inherent nonlinearities and computational demands. Finite element methods (FEM), while dominant due to versatility, often require computationally expensive iterative solutions. Alternative methods, like boundary element methods (BEM) and meshless methods, offer potential advantages but require further exploration for broader applicability. The choice of contact algorithm significantly impacts accuracy and efficiency; penalty methods, though computationally efficient, can lack accuracy at high friction coefficients; whereas, Lagrange multiplier methods, while more accurate, are computationally more demanding. The selection of an appropriate friction constitutive model is crucial; while the Coulomb friction law is common, more sophisticated models are necessary to represent real-world complexities, including surface roughness and temperature dependence. This review paper delves into the future research that prioritizes developing computationally efficient algorithms and parallel computing strategies. Advancements in constitutive modelling are vital for improved accuracy, along with enhanced contact detection algorithms for complex geometries and large deformations. Integrating experimental data and multiphysics capabilities will further enhance the reliability and applicability of these numerical techniques across various engineering applications. These advancements will ultimately improve the predictive power of simulations in diverse fields.
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series Lubricants
spelling doaj-art-46fdaf6530d243be8fe5f6ffa712bd292025-01-24T13:38:59ZengMDPI AGLubricants2075-44422025-01-011311810.3390/lubricants13010018A Review of Numerical Techniques for Frictional Contact AnalysisGovind Vashishtha0Sumika Chauhan1Riya Singh2Manpreet Singh3Ghanshyam G. Tejani4Faculty of Geoengineering, Mining and Geology, Wroclaw University of Science and Technology, Na Grobli 15, 50-421 Wroclaw, PolandFaculty of Geoengineering, Mining and Geology, Wroclaw University of Science and Technology, Na Grobli 15, 50-421 Wroclaw, PolandDepartment of Mechanical Engineering, GLA University, Mathura 281406, IndiaSchool of Mechanical Engineering, Lovely Professional University, Phagwara 144411, IndiaDepartment of Industrial Engineering and Management, Yuan Ze University, Taoyuan 320315, TaiwanThis review analyzes numerical techniques for frictional contact problems, highlighting their strengths and limitations in addressing inherent nonlinearities and computational demands. Finite element methods (FEM), while dominant due to versatility, often require computationally expensive iterative solutions. Alternative methods, like boundary element methods (BEM) and meshless methods, offer potential advantages but require further exploration for broader applicability. The choice of contact algorithm significantly impacts accuracy and efficiency; penalty methods, though computationally efficient, can lack accuracy at high friction coefficients; whereas, Lagrange multiplier methods, while more accurate, are computationally more demanding. The selection of an appropriate friction constitutive model is crucial; while the Coulomb friction law is common, more sophisticated models are necessary to represent real-world complexities, including surface roughness and temperature dependence. This review paper delves into the future research that prioritizes developing computationally efficient algorithms and parallel computing strategies. Advancements in constitutive modelling are vital for improved accuracy, along with enhanced contact detection algorithms for complex geometries and large deformations. Integrating experimental data and multiphysics capabilities will further enhance the reliability and applicability of these numerical techniques across various engineering applications. These advancements will ultimately improve the predictive power of simulations in diverse fields.https://www.mdpi.com/2075-4442/13/1/18finite element methodpenalty methodLagrange multiplier method
spellingShingle Govind Vashishtha
Sumika Chauhan
Riya Singh
Manpreet Singh
Ghanshyam G. Tejani
A Review of Numerical Techniques for Frictional Contact Analysis
Lubricants
finite element method
penalty method
Lagrange multiplier method
title A Review of Numerical Techniques for Frictional Contact Analysis
title_full A Review of Numerical Techniques for Frictional Contact Analysis
title_fullStr A Review of Numerical Techniques for Frictional Contact Analysis
title_full_unstemmed A Review of Numerical Techniques for Frictional Contact Analysis
title_short A Review of Numerical Techniques for Frictional Contact Analysis
title_sort review of numerical techniques for frictional contact analysis
topic finite element method
penalty method
Lagrange multiplier method
url https://www.mdpi.com/2075-4442/13/1/18
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