Digital Modeling and Simulation
Digital modeling and simulation offers rapid “what if” experimentation with processes, and as actual operating data is collected and the model is refined. The plant engineers can do faster, low-cost experiments on the digital twin so that they can improve processes without interfering with production.
This can speed up process improvement and eliminate waste more quickly. Also, Models can be used to emulate control systems and perform experiment new approaches before actual implementation.
Organizations turn to digital modeling and simulation so that they can accurately measure all the parameters of a part and obtain production specifications. That exemplifies a high percentage of uses of digital simulation.
The primary goal of digital modeling and simulation is to reduce prototyping costs for manufacturers. Instead of, testing a product with real prototypes, which are expensive, companies use fully digital twins.
These virtual twins simulate the form of a 3D model that has all the same attributes as the real product. It includes colors, dimensions, visual aspect. And, most importantly, in which a great quantity of metadata can be injected, such as physical properties of the materials.
This makes it possible to create a simulation that is very close to reality. The obvious benefits is that if the product isn’t right, the metadata can simply be changed, or the attributes of the digital twin can be directly modified. While with a real prototype, it would have to be entirely re-made.
All the companies make simulations in order to accurately measure all the parameters of a part and gain production specifications. That explains a high percentage of uses of digital simulation. After that, there are remarkable concerns about aging. Physical laws that determine how materials wear are well-known, so companies inject them into digital models to simulate how a part will wear as it is used. One of the new applications is predictive maintenance.
However, digital simulations can be used in many ways such as to forecast breakage or faults in order to determine the optimal moment a part should be repaired or replaced. All that relates to products but there are also simulations of whole factories to simulate their operations, and simulations of the human body.
As with most newer technologies, there’s considerable mis-understanding about digital modeling and simulation. The primary confusion often stems from the way-ward belief that digital modeling and simulation is the same as digital twins.
They aren’t the same.
While Digital Twin technology and digital modeling and simulation both use virtual model-based simulations, they are different. This is due to the fact that, despite being ideal for product design applications, the simulation capabilities of traditional computer-aided design and engineering (CAD-CAE) offer really less than Digital Twin.
This is why, once a product or asset is produced, the virtual model becomes a Digital Twin, with all of the additional capabilities this opens up through the use of the Internet of Things (IoT).
The fast transfer of data sets between the asset and the digital twin offers a user to check how the product is operating in real time, including through the application of additional features such as Augmented Reality (AR).
Crucially, unlike simulation, the use of a digital twin allows you to drive business strategy to deliver improved operational efficiency, the automation of manual tasks, increased data analysis, training and validation.
Digital Modeling and Simulation Course by Tonex
Digital Modeling and Simulation is a 2 days course by Tonex. This is a method of investigating real phenomena, processes, devices, or systems that is based on the study of mathematical models with the aid of digital computers.
Digital Simulation is sort of a mix between the discrete and continuous domains. It is usefully implemented on a computer, so the fundamental calculations are digital, but it simulates a continuous system. Like the Laplace transfer function, it is used to elaborate the behavior of a continuous system, but with much less effort.
Digital Twin Modeling and Simulation
This is a method of investigating real phenomena, processes, devices, or systems that is based on the study of mathematical models with the aid of digital computers.
Audience
- Network Engineer & Architect
- Product engineer & designer
- Systems engineer
- Healthcare technician
- Mechanical/ Trouble-shooting professional
- Engineering Project management chief
- RF engineers & scientists,
- Software testing engineers, analysts,
- Engineering managers,
- Antenna technicians,
- Field measurement technicians
- Project planners
Learning Objectives
- Fundamentals of Digital Modeling & Simulation.
- Understand how Digital Simulation is sort of a mix between the discrete and continuous domains.
- Investigate this real phenomena, processes, devices, or systems that is based on the study of mathematical models with the aid of digital computers.
- Learn how it elaborates the behavior of a continuous system, but with much less effort.
- Gain better knowledge and learn how RF engineers & scientists use it for their projects.
Program Outline
- Basics of modeling and simulation (M&S)
- Computational (in silico) modeling and simulation (M&S)
- Digital Modeling & Simulation Fundamentals
- Digital complement traditional methods for gathering evidence
- Digital Twins 101
- Practical Applications
- Successes and Opportunities
- Workshop & Case-studies
- A selection of M&S case studies
- Tools to demonstrate how M&S is playing a tangible role in different industries
- Digital Modeling & Simulation Project (Hands-on)