Showing 1–24 of 48 results

Abaqus Kelvin Voigt Viscoelastic Simulation Using UMAT and VUMAT Subroutines

 270.0
A viscoelastic material exhibits characteristics of both solids and fluids when subjected to stress. This distinct behavior makes them useful in various applications. To use viscoelastic materials in various applications, we need to predict their behavior under different loading conditions. This tutorial discusses in detail how numerical methods address this matter (Abaqus kelvin voigt viscoelastic). The Kelvin-Voigt model describes viscoelastic behavior using a spring and a damper in parallel (kelvin voigt model abaqus). It effectively predicts creep, simulates material responses to impacts, and determines viscoelastic properties of materials like foams, rubbers, and biological tissues. Despite its strengths, it has limitations in describing stress relaxation. This tutorial focuses on implementing the Kelvin-Voigt model in Abaqus CAE using UMAT and VUMAT subroutines. While these subroutines are powerful, they require Fortran knowledge, posing a challenge. To assist, the tutorial provides a step-by-step guide on reviewing the model's formulation and writing the subroutines for both standard and explicit solvers. The tutorial demonstrates capturing damage in a problem, but the results are general, such as stress and displacement. You can customize the subroutine for your models and extract specific results without significant difficulty.

Viscoplasticity Abaqus Simulation Using UMAT Subroutine | Perzyna Viscoplastic Model

 270.0

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

 270.0
(3)
User element (UEL) subroutine (user-defined element) is the highest level of a subroutine that Abaqus offers to its users. This subroutine allows the user to program the basic building block of a finite element simulation. This subroutine becomes very powerful when the user wants to implement a type of element that is not available in Abaqus. Using this subroutine, user can define different types of shape functions, introduce element technology that is not available in Abaqus, or simulate multiphysical behavior that is not possible otherwise. This Abaqus user element tutorial package will give a brief introduction to the user element subroutine followed by theory and algorithm to write subroutine small strain mechanical analysis. First, we will highlight the UEL element stiffness matrix and element residual vector which are to be programmed in the first example. We will also cover shape functions and numerical integration. Next, we’ll talk about UEL inputs and outputs. The first example contains the detailed development procedure of a general-purpose subroutine for 2D plane-strain and 3D simulations using triangular, quadrilateral, tetrahedral, and hexahedral type of elements with reduced and full integration scheme. The second example demonstrates the procedure to build UEL-compatible model in Abaqus/CAE. It also demonstrates how to apply complicated boundary conditions with UEL as well as perform Abaqus analysis on structures which has standard and user elements. As an outcome, user can write their own UEL subroutine afterwards using this program as template.

Pultrusion Crack Simulation in Large-Size Profiles | Pultrusion Abaqus

 250.0
(10)

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

 270.0
This study focuses on modeling the mechanical behavior of open-cell, isotropic elastomeric foams. It is essential for applications in materials science and engineering. The project offers insights into designing customized elastomeric foam materials tailored for impact protection in automotive, sports equipment, and aerospace industries. Numerical simulations, using software like Abaqus, enable the prediction of complex behaviors such as hyperelasticity and viscoelasticity under various loading conditions. This finite element analysis of elastomers includes theoretical formulations for hyperelastic constitutive models based on logarithmic strain invariants, crucial for accurately describing large deformations. Practical benefits include the implementation of user-material subroutines in Abaqus, facilitating future extensions to incorporate strain-rate sensitivity, and microstructural defects analysis. This comprehensive approach equips learners with theoretical knowledge and practical tools to advance elastomeric foam simulation. Moreover, it enhances their capability to innovate and optimize materials for diverse applications.

Abaqus convergence tutorial | Introduction to Nonlinearity and Convergence in ABAQUS

 120.0

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.

Simulation of pitting corrosion with scripting in Abaqus

 230.0
(3)
Pitting corrosion is a form of extremely localized corrosion that leads to the random creation of small holes in metal. It can occur with random sizes and distributions, typically modeled as conical or cylindrical shapes. This type of corrosion reduces the strength of structures and increases stress concentration. So, it can lead to various destructive effects such as pipes bursting and reduced resistance to internal pressure. By pitting corrosion simulation, you can assess how corrosion affects stress, vibration, heat transfer, and other factors. This is crucial for enhancing the durability and safety of structures such as storage tanks, shafts, tubes, pipes, and other industrial components. This tutorial includes two scripts for pitting corrosion analysis. They help you to conduct Abaqus pitting corrosion simulation for different examples including a simple plate and a shaft.

Dynamic Response of Ballasted Rail Track Under a Moving Load

 190.0

Railway tracks are subjected to moving loads of trains and this causes vibration and degradation of the track. The judgment of these vibrations is important to design the railway tracks. The design involves the permissible speed of trains and the maximum axle load of the train. The model given here creates a 3D geometry of a railway track and applies a moving load in the form of a wheel. A user can change the speeds and the properties of the material including geometry as per their needs.

Continuously Reinforced Concrete Pavement (CRCP) Cracking Analysis

 210.0
(1)

The increasing adoption of continuously reinforced concrete pavement (CRCP) in highway pavement design is driven by its demonstrated superior performance. Critical to evaluating the long-term effectiveness of CRCP is the understanding of early-age cracks (CRCP crack analysis), which has garnered significant interest from highway departments. This Abaqus Continuously reinforced concrete pavement modeling project aims to establish precise design parameters for CRCP and analyze the formation of crack patterns. By accounting for stress factors such as environmental conditions and CRCP shrinkage modeling, the project offers valuable insights into predicting the likelihood of crack initiation and propagation within the concrete slab. These insights are instrumental in enhancing the durability and performance of CRCP structures, thus advancing the efficiency and effectiveness of highway infrastructure.

Airfoil simulation with different angles of Attack | Ansys fluent

 220.0
(1)
Airfoils are a vital and important part of many industrial units. For example, in many kinds of rotary equipment such as gas turbines and wind turbines or compressors, airfoils play a vital role. Another usage of airfoils is in the aviation industry, which they used in airplane wings. The crucial parameters that are important in airfoils are the drag and lift forces or drag and lift coefficients. By using these parameters, we can design better airfoils to achieve greater lift coefficients and lesser drag coefficients. With this package, you learn how to design, mesh, and simulate an airfoil. Also, you learn how to link MATLAB to Ansys Fluent to change the geometrical constraints and boundary conditions automatically. You can use this method for your own optimization.

Modal and Frequency Analysis in Abaqus | Abaqus modal Analysis

 70.0
Modal analysis is a technique used to understand how structures and systems vibrate when subjected to forces. It identifies natural frequencies, which are frequencies at which a system vibrates without external excitation, and mode shapes, representing unique patterns of motion. Engineers use modal analysis simulation to design systems resistant to unwanted vibrations, preventing resonance and potential damage. Frequency response analysis evaluates a structure's reaction to specific excitations across varying frequencies, aiding in design optimization to mitigate fatigue damage caused by vibrations. In Abaqus software, Abaqus modal analysis identifies natural frequencies (Abaqus natural frequency) and mode shapes, while frequency response analysis predicts a structure's response to excitation across a frequency range. In Abaqus modal analysis tutorial package, there are several modal analysis examples (modal analysis example): Workshop 1 analyzes the natural frequency of a water transfer tube to predict resonance occurrence or potential issues from vibrations. Workshop 2 simulates the dynamic analysis of a frame under a sudden load, determining modes, natural frequencies, and transient dynamic response. Workshop 3 simulates free and forced vibrations of a wire under harmonic excitation, examining resonance phenomena with preloading and spring-damper configurations. These workshops demonstrate practical applications of modal and frequency response analyses in structural dynamics simulation and design.

Simulation and analysis of a 6-cylinder V engine with MSC Adams

 100.0
A 6-cylinder V engine is a type of internal combustion engine that features six cylinders arranged in a V-shaped configuration. This design allows for a more compact and efficient engine compared to traditional inline configurations. The cylinders are typically divided into two banks, each with three cylinders, set at an angle to each other. The V configuration provides a more balanced and smoother operation, reducing vibrations and improving overall performance. This engine layout is commonly used in a variety of vehicles, including cars, trucks, and SUVs, due to its combination of power, efficiency, and smooth operation.

Short fiber composite damage (Mean Field Homogenization Model)

 220.0
(9)
Short-fiber reinforced thermoplastics, popular due to their strength, lightness, and cost-effectiveness, are often manufactured using injection molding to create complex parts with dispersed short fibers. However, failure in these materials is complex, involving mechanisms like fiber cracking and plastic deformation. Current models for damage and failure are either macroscopic or simplified. A new method tackles this challenge by evaluating stiffness using continuum damage mechanics with a multistep homogenization approach. This new method is called “Mean Field Homogenization”. This approach involves a two-stage process: first, the fibers are split into groups (grains). Then, mean-field homogenization is employed within Abaqus using a UMAT subroutine to average stiffness across these phases, followed by overall homogenization. This use of mean-field homogenization Abaqus simplifies the modeling of the composite's intricate geometry. The method was validated through testing on a distal radius plate. Calibration was achieved through experiments, and the simulation was performed using Abaqus finite element software. It's important to note that the Abaqus short fiber damage mean field homogenization process was implemented within Abaqus through the INP code.

Tread wear simulation in Abaqus

 170.0
(1)
This training package provides a comprehensive exploration of tire tread wear, focusing on its simulation using the UMESHMOTION subroutine in ABAQUS. Tread wear, the gradual erosion of a tire's outer rubber surface, impacts crucial performance aspects like traction and handling. The package elucidates the importance of tread wear simulation, emphasizing safety, performance optimization, regulatory compliance, durability, cost efficiency, environmental impact, and consumer confidence. The UMESHMOTION subroutine, a key element in ABAQUS, is demystified through illustrative examples. Its application in modeling wear processes, specifically employing the Archard model, is highlighted—particularly in node movement specification during adaptive meshing. The workshop within this package delves into simulating tire wear at a speed of 32 km/h over 1000 hours, utilizing the UMESHMOTION subroutine and Archard equations. The tire modeling process, transitioning from axisymmetric to three-dimensional elements, is detailed, considering both slip and non-slip modes of movement. This resource serves as a valuable guide for professionals and enthusiasts seeking to understand and implement effective tread wear simulation techniques using advanced computational tools.

Hydroforming process simulation using VDLOAD subroutine in Abaqus

 170.0
(1)
Dive into the intricacies of hydroforming simulation in Abaqus alongside the VDLOAD subroutine with our comprehensive guide. This tutorial delves into the essence of the Abaqus hydroforming simulation, unraveling the nuances of the hydroforming process simulation. Hydroforming, a specialized metal shaping technique applicable to diverse materials like steel, copper, and aluminum, is explored in depth. In the workshop component, we specifically focus on advanced hydroforming simulation using the VDLOAD subroutine, highlighting its pivotal role in specifying fluid pressure on sheet metal forming. Learn how to apply the Functional Fluid Pressure Loading feature for precise control over fluid pressure dynamics. Additionally, explore the Smooth Amplitude option for defining part displacement seamlessly, without introducing dynamic changes during problem-solving. Conclude your exploration with a comparative analysis of simulation outcomes, dissecting scenarios with and without fluid pressure using Abaqus hydroforming simulation. Engage in discussions on subroutine writing, delving into the intricacies of incorporating Fluid Pressure Loading into your simulations. This guide offers a natural progression through hydroforming and VDLOAD, providing valuable insights for efficient and accurate simulations.

Shape optimization in Abaqus

 150.0
(1)
Shape optimization is employed towards the conclusion of the design process, when the overall structure of a component is established and only minor adjustments are permitted by relocating surface nodes in specific regions. In shape optimization, the displacements of the surface nodes (design nodes) serve as the design variables. The process commences with a finite element model that requires slight enhancements or with a finite element model derived from a topology optimization. In this training package, first, you will learn the concept of optimization and shape optimization in Abaqus. After that, all required settings to do a shape optimization, such as optimization task and design responses will be fully explained. And in the last lesson, you will learn how to create an optimization process and be familiar with the generated files by the shape optimization process.

Topology Optimization in Abaqus

 150.0
(2)
Optimization is a fundamental concept used to enhance the effectiveness and efficiency of systems, designs, and decisions. It finds application in various domains, including industrial processes, finance, and communication networks. In engineering, optimization plays a crucial role in improving the design of systems and structures by maximizing performance and minimizing costs, weight, or other parameters. Structural optimization specifically focuses on designing or modifying structures to meet performance criteria while minimizing or maximizing objectives such as strength, weight, cost, or efficiency. The Abaqus software provides comprehensive structural optimization capabilities, including topology, shape, sizing, and bead optimization. This training package primarily focuses on topology optimization. Through the lessons and workshops, you will gain insights into the tips, tricks, and techniques for effectively utilizing topology optimization within the Abaqus software.

3D printing simulation with Laser Powder Bed Fusion (LPBF) method in Abaqus

 150.0
(1)
3D printing is a process of creating three-dimensional objects by layering materials, such as plastic or metal, based on a digital design. 3D printing simulation involves using software to predict and optimize the printing process, allowing for more efficient and accurate production. This educational package includes two 3D printing modeling methods. The first method is based on the use of subroutines and Python scripting. After an introduction to the 3D printing process, the first method with all of its detail is explained; then, there would be two workshops for this method; the first workshop is for the 3D printing simulation of a gear with uniform cross-section and the second one is for a shaft with non-uniform cross-section. The second method uses a plug-in called AM Modeler. With this plug-in, the type of 3D printing can be selected, and after inserting the required inputs and applying some settings, the 3D printing simulation is done without any need for coding. Two main workshops will be taught to learn how to use this plug-in: "Sequential thermomechanical analysis of simple cube one-direction with LPBF 3D printing method using the trajectory-based method with AM plug-in" and "3D printing simulation with Fusion deposition modeling and Laser direct energy deposition method with AM plug-in".

3D printing simulation with Fused Deposition Modeling (FDM) in Abaqus

 200.0
(1)
3D printing is the process of fabricating objects in three dimensions by adding layers of materials, such as plastic or metal, based on a digital design. Simulation for 3D printing involves the use of software to predict and optimize the printing process, enabling more efficient and precise production. This educational package includes a simulation specifically for 3D printing using Fused Deposition Modeling (FDM). The simulation employs a plug-in known as AM Modeler, which allows users to select the desired 3D printing method. By inputting the necessary parameters and adjusting settings, the 3D printing simulation can be performed without requiring any coding. A workshop will be conducted to teach participants how to utilize this plug-in effectively, focusing on "3D printing simulation with Fused Deposition Modeling and Laser Direct Energy Deposition method using the AM plug-in."

Curing process simulation in Abaqus

 250.0
(2)
Fiber-reinforced composites have found widespread use across various fields due to their remarkable properties. This necessitates a careful design of their manufacturing processes to attain industrial application quality. The critical factor influencing their quality is the curing process, wherein the resin transforms into a solid state under temperature cycles. However, the challenge lies in achieving optimal curing quality while maintaining production efficiency. To overcome this challenge, an effective approach involves utilizing numerical simulations to optimize temperature cycles during curing. Nonetheless, creating such a model is complex as it must consider multiple factors concurrently, including temperature release from chemical reactions, shrinkage strains, and stress resulting from temperature variations, topics covered in this package. The package begins with an introduction to fiber-reinforced composites, exploring their advantages, applications, and categorization. It guides you through the fabrication process, detailing curing techniques and associated challenges. Furthermore, the package introduces constitutive equations for simulating the curing process and the necessary Abaqus subroutines for implementation. Additionally, two practical workshops are included to offer experience in modeling the curing process with Abaqus. These workshops enable you to evaluate internal heat generation and analyze strain and stress distributions. They not only provide guidance on simulation and subroutine implementation but also are provided for verification purposes.

Different Techniques for Meshing in Abaqus

 180.0
(11)
This package introduces different meshing techniques in Abaqus. In finite element analysis, a mesh refers to the division of a physical domain into smaller, interconnected subdomains called elements. The purpose of meshing is to approximate the behavior of a continuous system by representing it as a collection of discrete elements. Meshing is of utmost importance in finite element analysis as it determines the accuracy and reliability of the numerical solution. Through this tutorial, initially, the mesh and related terms associated with meshing are declared. Abaqus mesh module and meshing process are introduced. Then, two different meshing methodologies: Top-down and Bottom-up with meshing techniques available for each one of them are completely explained. Some of the advanced meshing techniques and edit mesh toolset are also included. The consideration of mesh verification as the final step in the meshing process, along with its criteria, is undertaken. All the tips and theories determined in this tutorial are implemented in Abaqus/CAE as a workshop to mesh several parts. This package intends to take your ability to mesh different parts to a higher level.

Creep Analysis in Abaqus

 120.0
(1)
In engineering, creep phenomenon refers to the gradual deformation or strain that occurs in a material over time when it is subjected to a constant load or stress (usually lower than yield stress) at high temperatures. It is a time-dependent process that can lead to the permanent deformation and failure of the material if not properly accounted for in design considerations. Creep analysis is vital in engineering to understand material behavior under sustained loads and high temperatures. It enables predicting deformation and potential damage, ensuring safe and reliable structures. Industries like power generation and aerospace benefit from considering creep for long-term safety and durability of components. In this training package, you will learn about Creep phenomenon and its related matters; you will learn several methods to estimate the creep life of a system’s components, such as Larson-Miller; moreover, all Abaqus models for the creep simulation such as Time-Hardening law and Strain-Hardening law will be explained along with Creep subroutine; also, there would be practical examples to teach you how to do these simulations.

Abaqus Damage Model for Thermoplastic Polymers with UMAT Subroutine

 320.0
(1)
Thermoplastic polymers are materials composed of long molecular chains primarily consisting of carbon. These polymers possess the unique ability to be shaped and molded under heat and pressure while retaining their stability once formed. This high formability makes them widely used in various industries, including furniture production, plumbing fixtures, automotive components, food packaging containers, and other consumer products. This package introduces a thermodynamically consistent damage model capable of accurately predicting failure in thermoplastic polymers.  The implementation of this model is explained through the use of an ABAQUS user material (UMAT) subroutine. The package is structured as follows. The introduction section Provides an overview of thermoplastic polymers and their mechanical properties. In the Theory section, the constitutive damage model and its formulation are reviewed. Then, an algorithm for numerically integrating the damage constitutive equations is presented in the Implementation section. In the UMAT Subroutine section, a detailed explanation of the flowchart and structure of the subroutine is provided. Finally, two simulation examples, namely the T-fitting burst pressure test and the D-Split test, are performed and the obtained results, are investigated. Notice: Software files and A full PDF guideline (Problem description, theory, ...) are available; Videos are coming soon.

Simulation of shape control by piezoelectric in Abaqus

 290.0
(1)
Piezoelectricity refers to the accumulation of electric charge in certain solid materials due to mechanical pressure. This phenomenon, known as the piezoelectric effect, is reversible. Some materials exhibit direct piezoelectricity, which involves the internal production of electric charge through the application of mechanical force, while others exhibit the inverse piezoelectric effect. By harnessing piezoelectrics, it becomes possible to control the geometrical changes of objects in response to external forces. However, it is important to note that utilizing this property in all situations would not be cost-effective. Therefore, it is more practical to use piezoelectric structures selectively, specifically in special applications. One approach to determining the optimal placement of piezoelectric elements for controlling the geometric shape of various objects under internal or external forces involves utilizing the Abaqus and MATLAB software linkage. This software combination, along with optimization algorithms such as the particle swarm optimization algorithm, can be employed to achieve the desired objectives. By leveraging these tools and data, the primary goal of controlling object shape can be successfully accomplished. In this training package, you will learn about piezoelectric and piezoelectric modeling in Abaqus, the particle swarm optimization algorithm, linking Abaqus and MATLAB, and how to use these tools for shape control. Notice: Software files and A full PDF guideline (Problem description, theory, ...) are available; Videos are coming soon.