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Simulation of Inertia Welding process in Abaqus | Fortran Subroutines and Python Scripts
This tutorial provides a comprehensive guide to simulating inertia friction welding process using Abaqus, a powerful Finite Element Analysis (FEA) tool. Inertia welding process, commonly used in aerospace, automotive, and manufacturing industries, is a solid-state process that joins metal parts using kinetic energy. The simulation focuses on modeling frictional heating, temperature distribution, and material behavior through integrated Fortran subroutines and Python scripts. These scripts automate tasks such as remeshing and model generation, enhancing efficiency. Key steps include defining axisymmetric models, applying material properties, and simulating thermal and mechanical interactions during the inertia welding process. This guide equips researchers and engineers with a robust methodology for inertia welding simulation, to optimize welding parameters and analyze weld quality.
Note: All files are available now; the tutorial video and PDF file will be available one week after purchase.
Brittle Damage in Abaqus | Brittle Cracking Abaqus
Brittle materials, such as ceramics, glass, and concrete, break or fracture easily under stress without extensive deformation. Unlike ductile materials, brittle materials snap suddenly, lacking the flexibility to rearrange their atomic structure under strain. These materials have low tensile strength but strong compressive resistance, making them vulnerable to brittle cracking Abaqus simulations when stretched or pulled.
Understanding brittle material damage is crucial in safety-critical fields like civil engineering, aerospace, and manufacturing, where unexpected fractures can lead to catastrophic failures. Simulations help engineers predict when and how brittle materials may break, guiding safer design choices. Brittle cracking Abaqus can be modeled using various methods, including the Johnson-Holmquist (JH) model, XFEM, and energy-based approaches, each suited to different types of loading conditions.
For dynamic, high-strain applications like impacts, the JH model is effective, particularly in Abaqus/Explicit with specific damage parameters. For general crack modeling, XFEM is versatile, allowing cracks to form naturally without predefined paths. The energy-based method is useful for slow-loading scenarios, defining an energy threshold for fracture initiation. Each method requires careful input of material properties, mesh refinement, and load conditions to reveal potential failure points and improve material performance in real applications.
Abaqus Kelvin Voigt Model (Viscoelastic) Simulation Using UMAT and VUMAT Subroutines
This research presents a precise three-dimensional mechanical response of viscoelastic materials using Abaqus kelvin voigt viscoelastic model. We performed this kelvin voigt model Abaqus simulation using both UMAT and VUMAT subroutines for standard and explicit solvers.
The behavior of viscoelastic materials is a state between the behavior of a liquid and a solid. In other words, they behave both like liquids and solids. That is to say, there are many natural and synthetic materials that are classified as viscoelastic materials; From the biological structures of the body such as skin, cartilage and tissue to concrete, foams, rubbers, and synthetic polymers. Due to these unique properties, viscoelastic materials have many applications.
In this regard, the primary goals of this study include the development and implementation of an accurate three-dimensional Abaqus kelvin voigt viscoelastic model, and the integration of viscoelastic properties into the analysis, which can improve the prediction of viscoelastic materials response under different boundary and loading conditions.
This tutorial, by customizing the UMAT and VUMAT subroutines to simulate flexible samples behavior, contributes to the advancement of viscoelastic materials design and analysis.
Implementation of Soil Constitutive Models in Abaqus | With a Special Focus on CSJ Models
Constitutive model implemented in calculation code, play an important role in the material behaviors prediction. In the field of geotechnical engineering there are numerous soil constitutive models. By installing these models in a finite element code such as Abaqus, their development, efficiency and advancement can be increased. Also, more and more complex engineering problems can be solved by this method. But to do this, you need a proper understanding of the mathematical and programming basics of these models. This tutorial focuses on implementing advanced constitutive models in Abaqus, particularly for simulating soil behavior. Focusing on the CJS model, this tutorial tries to teach how to work and how to program these models in Abaqus code. It includes detailed explanations of VUMAT and UMAT subroutines and practical examples of implementing the CJS model.
Note: In this project, we have discussed the UMAT and VUMAT subroutines, their specifications, and features. You will become familiar with the implementation of both UMAT and VUMAT subroutines. However, the specific focus of this project, for which we have provided the necessary files and run the analysis, is on using the VUMAT model. If you need to use Abaqus for this project with the standard solver, you will need to write the UMAT subroutine yourself.
In this tutorial, we explore the hygrothermal degradation composites using ABAQUS, a powerful tool for parallel finite element analysis. Industries like aerospace, marine, and automotive heavily rely on these composites due to their high strength-to-weight ratio and versatility. However, long-term exposure to moisture and temperature can degrade their mechanical properties, making an analysis of hygrothermal effects on composite materials essential for ensuring durability.
ABAQUS allows precise modeling of these environmental conditions through Python scripts and Fortran subroutines. This combination enables efficient simulations across multiple processors, offering insights into key elastic properties, such as Young’s modulus and shear modulus, under varying conditions. By leveraging the ABAQUS Python Scripting Micro Modeling (APSMM) algorithm and custom subroutines, engineers can predict the long-term performance of fiber-reinforced composites, optimizing design and enhancing material performance in critical sectors like aerospace and marine.
In the present Abaqus tutorial for parallel finite element analysis, we have presented the software skills that a person needs when he wants to perform a parallel finite element analysis such as a micro-macro scale analysis. The Abaqus tutorial for parallel finite element analysis covers all you need to write a python scripting code for noGUI environment and also Fortran code for the subroutine environment of Abaqus to execute a parallel finite element analysis via Abaqus software. You can download the syllabus of this package here.
3D Simulation of Gurson-Tvergaard-Needleman (GTN) Damage Model
Viscoplasticity Abaqus Simulation Using UMAT Subroutine | Perzyna Viscoplastic Model
Viscoplasticity describes the rate-dependent inelastic behavior of materials, where deformation depends on both stress magnitude and application speed. This concept is crucial in many engineering applications, such as designing structures under dynamic loads, modeling soil behavior during earthquakes, and developing materials with specific mechanical properties. Viscoplasticity Abaqus simulation, especially using Abaqus with UMAT subroutines, are vital for understanding, predicting, and optimizing the behavior of viscoplastic materials. This tutorial focuses on implementing the Perzyna viscoplasticity model in Abaqus. The Perzyna viscoplastic model, a strain rate-dependent viscoplasticity model, relates stress to strain through specific constitutive relations. This involves defining plastic strain rate based on stress state, internal variables, and relaxation time. The tutorial provides general UMAT codes for viscoplastic analysis, yielding results like stress fields essential for various engineering applications. These simulations help in predicting permanent deformations, assessing structural failure points, and analyzing stability under different loads, benefiting fields such as aerospace, automotive, civil engineering, and energy.
Abaqus User element tutorial | UEL advanced level
Pultrusion Crack Simulation in Large-Size Profiles | Pultrusion Abaqus
Pultrusion is a crucial task for producing constant-profile composites by pulling fibers through a resin bath and heated die. Simulations play a vital role in optimizing parameters like pulling speed and die temperature to enhance product quality and efficiency. They predict material property changes and aid in process control, reducing reliance on extensive experimental trials. However, simulations face challenges such as accurately modeling complex material behaviors and requiring significant computational resources. These challenges underscore the need for precise simulation methods to improve Pultrusion processes. This study employs ABAQUS with user subroutines for detailed mechanical behavior simulations, including curing kinetics and resin properties. Key findings include insights into material property changes, and optimization strategies for enhancing manufacturing efficiency and product quality. This research provides practical knowledge for implementing findings in real-world applications, advancing composite material production.
Notice that, pultrusion is a composite curing method, which may share some overlapping features with our Intermediate and Advanced curing packages. However, what sets pultrusion apart is that the composite passes over a heated die during the process. In this project, the die has also been modeled, with environmental heat applied to it using convection and a film subroutine. The heat is subsequently transferred to the sample through contact with the die. Afterward the die is removed. All these procedure is modeled in this project, with Abaqus CAE step-by-step. In contrast, in our Intermediate and Advanced packages for the oven curing of prepregs, no die has been modeled. The heat is applied without convection and, for simplicity, the heat is treated as a first-type boundary condition, which introduces some errors.
Elastomeric Foam Simulation Using Abaqus Subroutines
Simulation of an Ultrasonic Transducer (3D Ultrasonic Vibration Assisted Turning Tool)
Since the invention of ultrasonic vibration assisted turning, this process has been widely considered and investigated. The reason for this consideration is the unique features of this process which include reducing machining forces, reducing wear and friction, increasing the tool life, creating periodic cutting conditions, increasing the machinability of difficult-to-cut material, increasing the surface quality, creating a hierarchical structure (micro-nano textures) on the surface and so on. Different methods have hitherto been used to apply ultrasonic vibration to the tip of the tool during the turning process. In this research, a unique horn has been designed and constructed to convert linear vibrations of piezoelectrics to three-dimensional vibrations (longitudinal vibrations along the z-axis, bending vibrations around the x-axis, and bending vibrations around the y-axis). The advantage of this ultrasonic machining tool compared with other similar tools is that in most other tools it is only possible to apply one-dimensional (linear) and two-dimensional (elliptical) vibrations, while this tool can create three-dimensional vibrations. Additionally, since the nature of the designed horn can lead to the creation of three-dimensional vibrations, there is no need for piezoelectric half-rings (which are stimulated by a 180-phase difference) to create bending vibrations around the x and y axes. Reduction of costs as well as the simplicity of applying three-dimensional vibrations in this new method can play an important role in industrializing the process of three-dimensional ultrasonic vibration assisted turning.
In this example, how to model all the components of an ultrasonic transducer and its modal and harmonic analysis are taught in full detail.
Abaqus convergence tutorial | Introduction to Nonlinearity and Convergence in ABAQUS
This package introduces nonlinear problems and convergence issues in Abaqus. Solution convergence in Abaqus refers to the process of refining the numerical solution until it reaches a stable and accurate state. Convergence is of great importance especially when your problem is nonlinear; So, the analyst must know the different sources of nonlinearity and then can decide how to handle the nonlinearity to make solution convergence. Sometimes the linear approximation can be useful, otherwise implementing the different numerical techniques may lead to convergence.
Through this tutorial, different nonlinearity sources are introduced and the difference between linear and nonlinear problems is discussed. With this knowledge, you can decide whether you can use linear approximation for your nonlinear problem or not. Moreover, you will understand the different numerical techniques which are used to solve nonlinear problems such as Newton-Raphson.
All of the theories in this package are implemented in two practical workshops. These workshops include modeling nonlinear behavior in Abaqus and its convergence study and checking different numerical techniques convergence behavior using both as-built material in Abaqus/CAE and UMAT subroutine.
Sloshing Simulation in Cylindrical Water Storage Tanks: An Abaqus Modeling Framework
Cold Forming Simulation Using Abaqus CAE | Residual Stress Analysis
Modal and Frequency Analysis in Abaqus | Abaqus modal Analysis
Mixing tank simulation with Ansys fluent(2D and 3D)
Simulation and analysis of a 6-cylinder V engine with MSC Adams
Short fiber composite damage (Mean Field Homogenization Model)
Tread wear simulation in Abaqus
Curing process simulation in Abaqus