Optimised Meshing for Transmission CAE
The Benefits of an Optimised Finite Element or Finite Difference Mesh for Transmission
- Faster turnaround times: an optimised mesh means reducing cell density where it is not required. This reduces overall cell count which results in shorter solution times. It may also be possible to allow a lower cell quality depending on the type of analysis to be performed (e.g. stiffness versus stress) which will reduce the amount of manual mesh fixing time required.
- Lower computational power requirements: the fewer the elements and the better the quality of those elements the lower the computational requirements in terms of number of CPUs and RAM. This reduces investment in computational hardware.
- Fewer solver licenses: similar to the above the better the more efficient the computational mesh in terms of quality an element count the fewer the number of expensive solver licenses required to provide a solution in a required time.
- Increased solution accuracy: an optimised mesh will have sufficient refinement in high gradient areas to capture the physics accurately. It will also have a cell quality that is sufficient for the type of analysis being performed.
- Ease-of-setup: an optimised mesh will allow for the straightforward addition of boundary and load conditions for example through similar mesh densities between contact surfaces.
- Reduced cost: all of the above will result in a lower cost for your CAE activity and subsequently your engineering programme.
However there are many challenges to optimising a computational mesh. These include:
- Different analysis types: different types of analysis (e.g. static versus dynamic, linear versus non-linear, steady-state versus transient and contact versus non-contact) either have different requirements to run at all or can be dramatically affected in terms of accuracy or run time based on the type, quality and size of computational element ued.
- Different analysis software: different software tools have their own preferences for element type, quality and size. Optimising the mesh to the software can have a significant impact on solution accuracy and computational time.
- Design modifications: the mesh will need to be modified each time there is a design change
The Importance of Design Verification using CAE
Whenever a design is changed, for whatever reason, it is essential that the product is reanalysed to determine whether those changes have had a negative effect on its performance in the attribute or attributes of interest. For example a geometry change in the transmission casing may increase stress concentration factors in a critical area such as the shaft bearing location.
The Caepro Advantage
Caepro has created finite element meshes for the majority of transmission analysis types and software. See one of our Transmission Meshing Case Studies. Our deep product knowledge and experience enables us to create a mesh that is:
- Optimised for calculation speed and solution accuracy
- Appropriate for the type of simulation to be performed
- Easy to apply load and boundary conditions
- Easy and quick to modify to incorporate design modifications
- Gives the client confidence in their CAE process
To get more information or to request a quote for transmission computational meshing for CAE please submit an enquiry. For more on why Caepro is the best partner for your outsourced CAE requirements please read our 9 Reasons for Using Caepro article.