The solution for complex design tasks in mechanical engineering – multiphysics simulations combine flow analyses and classic structural mechanics examinations with electrical and thermal simulation.
From virtual prototypes to the real product: numerical simulation in mechanical engineering
Product complexity, rising quality demands and quicker market entry are corporate challenges that can be optimally solved by using numerical simulation. Simulation allows you to understand complexity, significantly shorten development times and cut costs. Product quality is increased, risks are avoided and innovation is driven forward. In short, simulation pays off!
Advantages of numerical simulation in mechanical and plant engineering
Understanding the product
Machines and plants do not distinguish between individual physical disciplines such as structural mechanics, electromagnetics, fluid mechanics or numerous other fields. They have a variety of properties that often interact with one another. In product development, simulation serves to make these behaviors visible so you can draw the right conclusions for their further development.
A comprehensive simulation portfolio across all physical disciplines forms the basis of a comprehensive understanding of the product. A systematic variation of parameters, boundary conditions and loads also helps to identify previously unknown influences on machine behavior and to ultimately design robust plants.
Digital prototypes in development
A digital prototype allows you to understand, further develop and optimize the product before it is constructed. This means you can save on elaborate prototyping, the associated tool costs and the time-consuming test stages. This significantly shortens the development time.
Simulation-aided development offers the advantage that numerous variants of a product idea can be examined in a relatively short space of time, and only the best designs are explored further. It’s not just the development speed that makes a big difference, but also having the absolute certainty that you’re making the right design selection.
Design decisions are shifted to the early development phase owing to the use of simulation. The earlier you use simulation, the greater the time and cost advantages.
Digital twins minimize plants’ failure risks
According to a study conducted on behalf of the United States Department of Energy, predictive maintenance reduces failures by 70%, downtimes by 35% and maintenance costs by 25%.
When it comes to maintaining machines and plants, creating a simulation-based digital twin is helpful for getting an overview of a system status based on real load data with the aid of a simulation model. As a digital twin, the simulation model enables detailed insights into machines and plants where sensor technology cannot be used. Having accurate knowledge of the plant status enables a predictive and thus status-based maintenance approach.
ANSYS Discovery AIM – product simulation for every engineer
CADFEM webinar on mechanical engineering
AIM is an integrated solution for engineering simulation that brings together the whole range of physical domains offered by ANSYS into one user environment. AIM expands the value of simulation in product development by replacing the previously customary processing of individual disciplines with a uniform, cross-application platform for all engineers involved in the development process.
As an expert service partner, we have been supporting and guiding our clients through all their queries regarding preparation, planning and implementation of numerical software for many years.
Our experience for your success.
From the idea to the finished product. Simulation software for development and applications in mechanical and plant engineering
A comprehensive range of seminars with regular events and webinars.
Advice and project support
Following a consultation, we will determine your requirements and make project-related suggestions.
Simulation as a Service
Apply hardware and licenses in a project-related manner and scale them according to your needs.