The Digital Twin is a methodology that leverages the complementary strengths of digital simulation (CAE) and measured in-service physical data (IIoT) to effectively resolve performance issues and predict behavior throughout a system’s lifecycle. Read more HERE.
The role of the simulation expert is changing from one that focused on the actual running of the simulations to one that is more focused on codifying their expertise in a form that is safely and robustly reusable by those in their organizations who are not experts in the underlying CAD and simulation tools. Read more HERE.
Engineering Simulation is the imitative representation of the functioning of one system (e.g. mechanical, electrical, digital, etc.) or process by means of the functioning of another. We may be concerned with simulation of the functioning of mechanical and structural components by mathematical models. Learn more about mathematical modeling and numerical simulation HERE.
The Internet of Things (IoT) is simply connecting physical devices/systems to each other via the Internet. Read more HERE.
A mathematical model is a transformation of a set of data D based on a precisely formulated idea of physical reality I to the quantities of interest F. In short hand: (D, I) → F. The transformation represented by the right arrow (→) comprises all operations needed for producing F. Read more HERE.
Multidisciplinary Design Optimization (MDO) is the computer driven process to optimize a design across multiple disciplines, within a set design space, taking objectives and constraints into account. Learn more about MDO HERE.
For many engineering analyses it’s sufficient to focus on a single type of physics such as structural mechanics, heat transfer, fluid dynamics, acoustics, or electromagnetics. However, there are many problems where multiple physics fields are important and interact, which means they must be considered together to achieve accurate enough engineering predictions.
The use of engineering simulation to analyze such problems requires multiphysics simulation, in which multiple physical fields concurrently drive the behavior of a design and are coupled according to different interaction mechanisms. Some common examples of multiphysics include:
With the ever-increasing compute power available for engineering simulation, the range of multiphysics applications that can be successfully simulated continues to grow. Perhaps the next great advances in this area will be (1) solvers with sufficient computational scalability to achieve realistic multiphysics simulation of highly complex industrial products and devices, and (2) workflows that make powerful multiphysics simulation more accessible and robust for a broader range of engineers.
NAFEMS is the only not-for-profit, worldwide independent professional association dedicated to engineering modeling, analysis & simulation. Read more HERE.
Numerical simulation is an approximation of the quantities of interest F by numerical means: (D, I) → F→ Fnum, where Fnum is an approximation to F. Read more HERE.
In order to grow revenue and remain competitive today’s global marketplace companies must shrink product development cycle times and get products to market faster, all while meeting a constantly evolving set of customer demands. This requires Pervasive Engineering Simulation. Read more HERE.
Revolution in Simulation is a web-based platform and resource center that educates, advocates, collaborates and innovates for the democratization of simulation. Democratized Simulation makes analysis more powerful and capable for CAE experts while accessible, safe and reliable for non-experts. Read more HERE.
In the computer aided engineering environment, a Sim App or Simulation App is a type of web application (or web app) which enables a purely browser based access (no client side resident software) to a simulation model or simulation workflow. Read more HERE.
Simulation governance refers to the exercise of command and control over all aspects of numerical simulation. When the goal of simulation is the formulation of design rules then the objective of simulation governance is to seek nearly optimal allocation of resources between physical experimentation and numerical simulation and to improve the predictive performance of mathematical models over time through. Read more HERE.
Simulation Process and Data Management (SPDM) is a software technology that uses platform solutions to better manage simulation across the enterprise and across the product lifecycle. Read more HERE.
Up to 80% of the cost of a product’s development is determined by the decisions that are made early in the design process. Simulation- Led Design is the digital exploration of design concepts and the testing of critical design choices early in the product lifecycle using simulation. Read more HERE.
Sim Apps are software tools for the standardization and automation of recurring analysis tasks and simulation workflows, and may be based on finite element analysis (FEA), computational fluid dynamics (CFD), closed-form equations, and/or other numerical methods. Read more HERE.
The ASSESS Initiative is a broad reaching multi-industry initiative with a primary goal to facilitate a revolution of enablement that will vastly increase the availability and utility of Engineering Simulation, leading to significantly increased usage and business benefits across the full spectrum of industries, applications and users. Read more HERE.