PDF-Video Packages
Abaqus shaft slip ring simulation | Using Python scripts for parametric analysis
The shaft slip ring is a crucial component enabling the transfer of power and signals in rotating systems. So, this tutorial delves into the intricate Abaqus shaft slip ring analysis. It focuses primarily on the mechanical aspects, offering insights into displacement, stress fields, and strains through the shaft analysis Abaqus model. The tutorial utilizes parametric modeling and Python scripting for the Abaqus shaft slip ring simulation. So, it enables you to optimize geometric parameters, material properties, and loading conditions, enhancing efficiency in modeling processes. It addresses complexities such as creep behavior and material interactions, providing a comprehensive approach tailored for realistic simulations. The tutorial meets various project requirements, supporting them with practical examples and adaptable simulation files.
3D Simulation of Gurson-Tvergaard-Needleman (GTN) Damage Model
The GTN (Gurson-Tvergaard-Needleman) damage model is a robust continuum damage model used to simulate ductile fracture in materials. It accounts for porosity, a key damage parameter, to predict material behavior under various loading conditions. The model's benefits include comprehensive fracture analysis, accurate damage prediction, versatility, and enhanced simulation capabilities. Despite these advantages, implementing the GTN model in software like Abaqus (GTN model Abaqus) is challenging. It is due to the need for custom subroutines, such as VUMAT. However, writing the subroutine requires proficiency in Fortran programming and an understanding of finite element analysis. This project provides a detailed guide for using the VUMAT subroutine to define the GTN model in Abaqus. It addresses challenges like high computational costs and the need for extensive experimental data. The tutorial demonstrates the model's application in material design, failure analysis, structural integrity assessment, research and development, and manufacturing process simulation. By exploring stress distribution, nodal temperatures, and displacement fields, the project aims to enhance the understanding and predictive capabilities of the GTN damage model.
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.
Simulation of pitting corrosion with scripting in Abaqus
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.
Laser forming simulation tutorial in Abaqus
The laser forming process is performed by applying thermal stresses to the workpiece surface by heating the surface with a laser beam. These internal stresses induce plastic strains in the part resulting in local elastic-plastic deformation (Laser-induced plastic deformation). In this laser forming simulation tutorial the DFLUX subroutine is used to apply heat flux (Gaussian heat distribution) dependent on location and time in finite element simulation. For example, the linear heating processes of laser forming and welding (with a slight simplification) can be simulated by this subroutine. In the linear heating process, by applying heat flux to the surface of a sheet, a thermal gradient is created in its thickness. This thermal gradient causes permanent deformation of the sheet. To simulate the laser forming process, it is necessary to apply a time and location-dependent heat flux to the sheet. In this type of loading, a heat flux is applied on the plate, which is defined using the DFLUX subroutine, including the laser power, movement speed, beam diameter, absorption coefficient, and laser movement path according to the designed experiments (Laser forming process parameters). To verify this Abaqus laser forming simulation, the simulation results and experimental results of sheet deformation (U) are compared. The displacement of the sheet in the simulation is in good agreement with the experimental results.
Friction Stir Welding simulation Tutorial | FSW Advanced level
Friction stir welding (FSW) involves complex material flow and plastic deformation. Welding parameters, tool geometry, etc., have important effects on the material flow pattern, heat distribution, and eventually on the structural evolution of the material. In an Abaqus friction stir welding example, the rotational movement of the tool and its friction in contact with the workpiece causes heat generation, loss of strength, and an increase in material ductility around the tool. The feeding movement of the tool causes the material to transfer from the front of the tool to the back of it, and eventually leads to a join. Therefore, heat plays an important role in this process, and parameters such as rotational speed, tool feeding speed, tool geometry, and others, all somehow have a significant impact on controlling the amount of incoming heat, the disturbance and flow pattern of the material, the evolution of the microstructure, and the quality of the resulted weld. This friction stir welding example simulation tutorial shows you how to simulate the Abaqus FSW simulation process in such a way that you can accurately predict the effect of all relevant parameters on the process. In most of the implemented projects, welding mud, and welding defects (welding overfills and overlaps, weld gaps) are not visible and predictable; however, in this simulation, these cases are visible. This project is designed to enhance participants' understanding of how to accurately simulate the FSW process to see the weld's general appearance.
Airfoil simulation with different angles of Attack | Ansys fluent
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.
Sloshing Simulation in Cylindrical Water Storage Tanks: An Abaqus Modeling Framework
Liquid storage tanks have many applications in water supply systems and industrial environments. However, seismic damages to these tanks present significant challenges. One of the well-known damages observed in tanks during earthquakes is roof fracture caused by liquid sloshing. Sloshing is a phenomenon that liquid surface moves during seismic events. In this project, we used ABAQUS for the sloshing simulation in ground-supported cylindrical tanks. The tank experiences the acceleration of the El-Centro earthquake. The Abaqus sloshing simulation involves the calculation of Rayleigh damping factors and natural frequencies, employing the ALE meshing technique, and incorporating hourglass controls in Abaqus. We have suggested two ways for the tank sloshing simulation: one involves assigning a low viscosity to the water, and the other is applying Rayleigh damping factors with the assumption of an inviscid fluid. For verification, we modeled a water tank and compared the results with those obtained in the following paper:
“Parametric study on the dynamic behavior of cylindrical ground-supported tanks”
Simulation and analysis of a 6-cylinder V engine with MSC Adams
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)
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.