Developing Damage Models to Predict Solder Fatigue
Solder, which provides the structural and electrical connection between a printed wiring board (PWB) and electrical components, is the dominant material used for assembling electronics. However, solder is also one of the few structural materials that is expected to undergo significant inelastic deformation during its lifetime. Inelastic deformation damages solder, which can lead to eventual solder joint failure. Predicting when the solder joint fails is critical when using solder in harsh use environments. These harsh environments have loads that can come in several forms (i.e., drop/shock, vibration, temperature cycling). The majority of solder fatigue in electronics is thermomechanically driven due to temperature cycling which causes significant deformations and stresses due to coefficient of thermal expansion (CTE) mismatches between the PWB and components. In order to predict solder failure, a damage model must be used that relates deformation of the solder to cycles to failure. In this webinar, we will discuss material characterization of various solder alloys, predictive solder fatigue damage models using a physics-of-failure approach (PoF) and how to develop damage models using simulation and testing.
Optical and Radiometric Simulation for Biomedical Applications
The development of new methods and instruments requires an in-depth understanding of light’s propagation and interaction with biomedical samples. Ansys simulation tools are thus required to model the properties of the instrument and the tissue sample or the organ under investigation. To calculate light propagation of the involved media, cutting-edge simulation solutions are required. Additionally, optical properties of the media, especially its spectrally resolved scattering and absorption parameters, must be determined. This webinar explores basic concepts for calculating the light propagation in biological tissues (e.g. using Monte Carlo simulations) and for determining scattering and absorption spectra of biological tissues. Examples of optical simulations for biomedical applications will be presented and several use cases for Ansys optical modeling of biomedical systems will be discussed.
Hardware and Usability Guidelines for Engineering Simulation
This webinar will provide insight into how you can optimize your hardware and software deployments for best performance. Hardware selection for engineering simulation software is often a confusing undertaking; performance can significantly vary with workload, which depends on the dataset size and solver utilized. Optimizing detailed hardware configurations that match both expected performance, usability and budget can be a challenge. Watch this recording to hear from Ansys and Intel and: Discover hardware selection guidelines for processors, memory, interconnects and storage systems. Learn how to unleash your performance through usability guidelines on modelling, remote visualization and licensing. Explore alternatives to a hardware implementation and find out how cloud computing can deliver on-demand, high-performance computing (HPC).
Simulation Tools for Product Designers
Traditional product design teams spend a lot of time coordinating with analysis and physical testing teams, which leads to long design cycles. As industries become more agile, it is necessary to reduce design time by equipping engineers with intelligent design tools to accelerate the process. Learn how Ansys Discovery can help you perform upfront design optimization by leveraging predefined templates for input parameters in real time and generating early insights into product behavior. Its integrated user interface and flexible design workflows help you to spend more time perfecting the design and less time coordinating operations between teams.
The number and variety of materials available today are increasing at a rate faster than at any previous time. The next generation of engineers – the ones we are educating now – will need to use materials of all sorts (conventional as well as advanced) in ways that meet more demanding technical, environmental, economic and aesthetic requirements. Learn how Ansy Granta EduPack provides engineering students with the materials knowledge they need to be successful in today's competitive environment. Granta EduPack is a complete set of resources, with the central software supported by supplementary databases, textbooks, lectures, projects and exercises. By proceeeding through the three levels of Granta EduPack, students gain the knowledge and confidence to select materials for mechanical, thermomechanical and electromechanical designs, and develop an understanding of processes for forming, joining and surface treating the materials. The application of such materials information technology is becoming increasingly important in industry as materials and manufacturing organizations seek to optimize their materials strategies in order, for example, to control costs in global markets, to incorporate eco-design principles in response to market demand and increased environmental regulation, and to limit the use of restricted substances.
High-Frequency Electromagnetic Simulation
Ansys HFSS is a 3D electromagnetic (EM) simulation solution for designing and simulating high-frequency electronic products such as antennas, antenna arrays, RF or microwave components, high-speed interconnects, filters, connectors, IC packages and printed circuit boards. Engineers worldwide use HFSS to design high-frequency, high-speed electronics found in communications systems, radar systems, advanced driver assistance systems (ADAS), satellites, internet-of-things (IoT) products and other high-speed RF and digital devices. Learn how to simulate various RF applications like antenna design, array design, electromagnetic interference, antenna placements, RCS, etc., using Ansys HFSS.
Finite Element Analysis
The finite element method (FEM) is an old numerical technique. Initially, it was used to solve differential equations to find stress, but today this method is being used in multiple physics and industries like civil, chemical, automotive, biomechanical, mechatronics, etc. Simulation acts as a catalyst in visualizing and experiencing the performance of products, optimizing their design, upgrading their aesthetical look, increasing efficiency, decreasing the cost and reconfirming many theoretical research results. Learn how Ansys Mechanical is used today to design and analyze the performance of structures in many different industries and academic laboratories.
Design for Additive Manufacturing
Learn about Ansys' complete simulation workflow for additive manufacturing (AM), which enables engineers to transfer R&D efforts for metal additive manufacturing into a successful manufacturing operation. Additive manufacturing (3D printing) is a technology that produces three-dimensional parts layer by layer from a variety of materials. It has been rapidly gaining popularity as a manufacturing process in recent years. In the AM process, a digital data file is transmitted to a production machine, which ultimately translates an engineering design into a 3D-printed part.
Computational Fluid Dynamics
Computational fluid dynamics helps engineers design products in which the flow of fluid components is a major challenge. Applications include conjugate heat transfer, turbomachinery, fluid-structure interaction, combustion and multiphase simulation, among many others. Learn about the various types of CFD simulations and the advancement of this technology in industrial applications such as oil and gas, aerospace, automotive, electric vehicles, energy generation and HVAC.
Designing the Cooling System of a Formula Student Electric Race Car
Ansys Fluent played a key role in developing nearly every component employed in IIT Bombay Racing’s electric race car.
Design for Engineering Simulation
Ansys empowers users to solve more complex engineering problems faster and more efficiently than ever before. Geometry and meshing are integral parts of any computer aided engineering simulation process. Preparing the right geometry and creating the most appropriate mesh is the foundation of engineering simulation, influencing the accuracy, convergence and speed of simulation. Furthermore, the time it takes to prepare the geometry and mesh a model is often a significant portion of the time it takes to get results from a CAE solution. Therefore, the better and more automated the pre-processing tools, the better and faster the engineering simulation. Featuring key improvements for handling complex, massively large models, Ansys helps engineers to optimize their product design challenges with the introduction of various new pre-processing tools, e.g., Ansys Spaceclaim, Ansys Fluent meshing, Ansys Workbench meshing, ICEM CFD, etc. Discover the different tool sets to design your model for engineering simulation in this webinar. Understand how you can quickly prepare a geometry for CFD/FEA/electromagnetics modeling. Learn how to use different sets of tools to effectively manage your pre-processing requirements more automatically. Receive expert tips for effective geometry preparation and different meshing technologies.
Biomedical Applications of Ansys Maxwell
Ansys Maxwell provides low-frequency electromagnetic solutions that help drive the design of biomedical devices. This webinar spotlights Maxwell’s capabilities for modeling human bodies, nerve stimulation with electrodes, implant compliance analysis when exposed to MRI fields, wireless charging, specific absorption rate (SAR) analysis for wearable biomedical devices and more.