Additive Manufacturing (AM), a revolutionary layer-by-layer fabrication technology, is transforming how products are designed and manufactured. This comprehensive tutorial package focuses on the Inherent Strain (IS) method, a highly efficient numerical approach for simulating the Laser Powder Bed Fusion (LPBF) process in metal additive manufacturing. The detailed thermo-mechanical simulation of the Laser Powder Bed Fusion (LPBF) for complex geometric parts requires a large number of time steps to estimate residual stress and distortion, which is not computationally cost-effective. Furthermore, based on the large thermal gradient near the heat source, the mesh size must be sufficiently small to accurately predict the induced residual stress and distortion of the deposited layers in the heat-affected zone. Therefore, applying a coupled thermo-mechanical analysis for multiple laser scans with a fine mesh model to macro-scale simulation would incur excessively large computational costs.
Additionally, the large number of degrees of freedom for each element in the mechanical analysis leads to higher complexity as well as a longer amount of processing time. Detailed thermo-mechanical analysis for an industrial component is almost impractical since it would demand hundreds of terabytes of memory and years to calculate. Therefore, to overcome the huge computational burden associated with the numerical simulation of the LPBF caused by the infinitesimal laser spot size and thousands of thin layers with a thickness at the micron level, the Inherent Strain Method in additive manufacturing has been widely used in research and commercial software.
In this tutorial, the Inherent Strain Method additive manufacturing approach is presented both theoretically and practically in Abaqus. An agglomeration approach will be considered to transfer an equivalent inherent strain from both micro-scale and macro-scale modeling strategies. The implementation of this approach is explained step by step, accompanied by various workshops in micro-scale and macro-scale models for different geometries. This training package enables you to write your subroutine codes and Python scripting, as well as have more control over the LPBF process simulation.
Laser Assisted Machining (LAM): Modeling and Simulation in Abaqus/CAE
In this tutorial, a comprehensive discussion on modeling and simulation of laser assisted machining is presented. It includes building FEM-based models of machining, laser heating, and laser-assisted machining models in Abaqus/CAE. The finite element method (FEM) simulation is based on the coupled thermo-mechanical behavior. The package walks learners through building models that simulate the impact of laser heating on the workpiece. Detailed lessons cover constructing basic machining and laser heating models, setting boundary conditions like cutting speed and laser power, and writing subroutines such as DFLUX and VDFLUX to simulate laser heat sources. Additionally, learners will perform analyses to study temperature distribution, and stress-strain behavior. Through parametric analysis and comprehensive result evaluation, learners will gain a deep understanding of temperature distribution, stress behavior, and how laser heating can improve the machining process.
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.
Concrete Damage Plasticity Simulation of FRP-Confined Concrete Columns in Abaqus
This tutorial package provides a comprehensive guide to implementing USDFLD subroutine in the context of Concrete Damage Plasticity Material Model. The tutorial focuses on key modeling aspects such as definition of concrete material properties using Concrete Damage Plasticity (CDP) Model. A theoretical background of the model will be presented and detailed explanation of the definition of all material properties will be given. The package will also explain the usage of the USDFLD subroutine to modify concrete material properties dynamically during simulation. Examples of implementing USDFLD in the context of CDP will be presented with focus on material properties that vary in function of pressure and axial strain defined as field variables.
All other modeling details will also be explained including boundary conditions, meshing, loading, and interactions.
By following the detailed steps in this tutorial, you will be able to create and analyze advanced FEM simulations in Abaqus with a focus on concrete having properties that vary during simulation.
Computational Predictions for Predicting the Performance of Structure
This package focuses on developing and applying predictive models for the structural analysis of steel and concrete components subjected to fire and subsequent earthquake loading. To accurately simulate the complex behavior of these structures, finite element analysis (FEA) using ABAQUS is employed. The Taguchi method optimizes the number of samples needed for FE analysis, and this method is used with SPSS after explanation its concept. However, due to the computational demands of FEA, various machine learning techniques, including regression models, Gene Expression Programming (GEP), Adaptive Network-Based Fuzzy Inference Systems (ANFIS), and ensemble methods, are explored as surrogate models. These models are trained on large datasets of FEA results to predict structural responses efficiently. The performance of these models is evaluated using statistical metrics such as RMSE, NMSE, and coefficient of determination.
Damage Prediction in Reinforced Concrete Tunnels under Internal Water Pressure
This tutorial package equips you with the knowledge and tools to simulate the behavior of reinforced concrete tunnels (RCTs) subjected to internal water pressure. It combines the power of finite element (FE) modeling with artificial intelligence (AI) for efficient and accurate analysis. The Taguchi method optimizes the number of samples needed for FE analysis, and this method is used with SPSS after explanation its concept.
By leveraging Artificial Intelligence (AI) techniques such as regression, GEP, ML, DL, hybrid, and ensemble models, we significantly reduce computational costs and time while achieving high accuracy in predicting structural responses and optimizing designs.
A Comprehensive Tutorial for Soft Body Impact Composites Simulation
This comprehensive tutorial package focuses on simulating soft body impact composites on laminated composite materials using the Finite Element Method (FEM) in Abaqus. The course covers key topics such as soft body modeling, metal material modeling, composite material modeling, composite to composite interface modeling, metal to composite interface modeling, interaction between soft bodies and FML, interaction between layers, and Python scripting for parametric studies. Users will explore different material models and learn about impact failure mechanisms, including matrix failure, fiber failure, shear failure, and delamination. The course is structured into lessons that cover theoretical aspects, followed by hands-on workshops to model soft body impacts, apply material properties, and analyze post-processing results such as forces, displacements, and energy dissipation. It also includes an advanced section on Python scripting, enabling users to automate parametric studies for complex simulations. This package is ideal for engineers, researchers, and students looking to deepen their understanding of soft body impact phenomena and composite material behavior.
Computational Modeling of Steel Plate Shear Wall (SPSW) Behavior
This course equips engineers with the tools to design and analyze Steel Plate Shear Wall (SPSW) and Reinforced Concrete Shear Walls (RCSW) subjected to explosive loads. Traditional Finite Element (FE) simulation is time-consuming and requires numerous samples for accurate results. This package offers a more efficient approach using Artificial Intelligence (AI) models trained on FEA data. You'll learn to develop FE models of SPSW and RCSW in ABAQUS software, considering material properties, interactions, and boundary conditions. The Taguchi method optimizes the number of samples needed for FE analysis, and this method is used with SPSS after explanation its concept.
We then delve into AI modeling using MATLAB. Explore various methods like regression, Machine Learning (ML), Deep Learning (DL), and ensemble models to predict the behavior of SPSW and RCSW under blast loads. Statistical analysis helps compare model accuracy. By combining FE analysis with AI models, you'll gain a powerful tool for designing blast-resistant structures while saving time and resources.
Abaqus advanced tutorials on concrete members
Welcome to the "Abaqus Advanced Tutorials on Concrete Members" course, designed to provide civil and structural engineers with cutting-edge expertise in finite element modeling (FEM) and simulation using Abaqus. This advanced-level course focuses on the detailed modeling of complex concrete and composite columns under various loading conditions. Topics include the simulation of tubed reinforced concrete columns, concrete-filled double skin steel columns, and fiber-reinforced polymer (FRP) composite columns. Participants will delve into axial and eccentric compression loading scenarios, with a special focus on hollow and tapered cross-sections. The course also emphasizes comparing simulation results with experimental data from published research, ensuring practical relevance and accuracy. By the end of the course, learners will be equipped with the necessary skills to tackle advanced structural analysis challenges using Abaqus, reinforcing their understanding of concrete member behavior in real-world applications.
Glass Fracture Analysis with Abaqus | Post-Fracture
This tutorial explores a finite element method (FEM) simulation using Abaqus to analyze the post-fracture behavior of structural glass members retrofitted with anti-shatter safety films. In particular, it focuses on simulating and calibrating the vibration response of cracked glass elements under repeated impacts and temperature gradients, contributing to a comprehensive analysis of critical phenomena that take place in the post-fracture stage. This tutorial follows the methodology outlined in the research article “Effects of post-fracture repeated impacts and short-term temperature gradients on monolithic glass elements bonded by safety films”.
Key aspects include modeling glass fracture, assigning material properties, and defining boundary conditions to assess the vibration frequency and load-bearing capacity of cracked monolithic glass members. Additional topics cover basic concepts of dynamic identification techniques, definition of performance indicators for glass retrofit efficiency, and frequency sensitivity analysis of monolothic retrofitted glass elements under various operational and ambient conditions. The simulation results help quantify the expected contribution and residual strength of safety films in post-fracture scenarios, providing a robust framework for structural engineers to extend this investigation to other glass configurations.
This tutorial is ideal for users who want to understand FEM modeling in Abaqus and perform detailed simulations involving complex material interactions, with a focus on practical applications in glass retrofit technology.
Machine Learning for Composite Materials with Abaqus
This tutorial package delves into an advanced inverse modeling approach for predicting carbon fiber properties in composite materials using a machine learning (ML) technique. Specifically, it covers the use of Gaussian Process Regression (GPR) to build a surrogate model for accurate predictions of fiber properties based on data from unidirectional (UD) lamina. By leveraging Finite Element (FE) homogenization, synthetic data is generated for training the GPR model, accounting for variations in fiber, matrix properties, and volume fractions. This framework’s efficiency and accuracy are validated using real-world data, highlighting its potential as a computational alternative to traditional experimental methods. The package includes detailed explanations, case studies, and practical exercises, equipping users with hands-on experience in applying this ML-based approach to composite material analysis.
Bolting Steel to Concrete in Composite Beams: ABAQUS Simulation Validated Against Experiments
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.
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 crack formation (pultrusion crack simulation), material property changes, and optimization strategies for enhancing manufacturing efficiency and product quality. This research (pultrusion Abaqus) provides practical knowledge for implementing findings in real-world applications, advancing composite material production.
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.