Tips & Tricks

Visual-Environment Highlight of Visual-Seat: STAN Thermal Dummy
STAN is a thermal dummy to test thermal comfort and moisture management characteristics of automobile, truck, and airplane seating. This device is commercialized by Thermetrics® and some relevant information can be found here: https://thermetrics.com/products/manikin/stan/. In collaboration with Thermetrics, ESI developed a numerical model of the STAN dummy for the prediction of its thermal behavior. No humidity is managed in this version of the model. A process for the setup of the seating and the thermal simulations of the STAN dummy have been added in this version.
Christian Marca Virtual Seat, Virtual Integration Platform

Visual-Environment Highlight of Visual-Seat: Sewing Simulation Guided Setup
Sewing simulations aim at assembling flat cover patterns and wrapping them around deformable foam block. This application exists in Visual-Seat for many versions as a set of toolboxes and functionalities enabling to set-up this type of input. This has been enhanced with a workflow gathering all tools and functionalities and proposing them in the right sequential order to provide some user guidance.
Christian Marca Virtual Seat, Virtual Integration Platform

Visual-Environment Highlight of Visual-Seat: Foam Blocks Positioning
When assembling the different components of the seat, it may happen that the foam at rest is intersecting the frame and/or the suspensions. In order to remove those intersections, a simulation-based technique had been implemented previously by applying surface pressure on foam. Upon customer request, a new method has been added where the frame (and suspensions) can be scaled down and moved initially to retrieve progressively their size and position during simulation, when the contact with foam is active.
Christian Marca Virtual Seat, Virtual Integration Platform

Static comfort – Different encrypted data display
How to display encrypted occupant when other data are also encrypted in the model.
Virtual Seat

Static Comfort - Sensors Grid
Sensors Grid Definition improvement in Virtual Seat Solution v2015 (VE 11)
Cécile Cabane Virtual Seat

Trim Manufacturing – Trim Adviser
Trim Adviser improvement in Virtual Seat Solution v2015 (VE 11)
Cécile Cabane Virtual Seat

CFD-FASTRAN/CFD-ACE+ coupling for thermal environment simulations
In certain applications, different regions of the computational domain experiences flow conditions that are so different that it is very difficult for a single solver to produce accurate results at the extremes. In many situations, such problems can be separated and solved using loosely coupled solvers. Each solver is chosen to provide highly accurate solutions for the prevailing flow conditions.
Abraham Meganathan CFD

Avoiding Chimera Errors in CFD-FASTRAN
This note discusses a common error encountered by users when trying chimera meshes in CFD-FASTRAN. Such errors are easy to avoid and hopefully this note will assist you.
Abraham Meganathan CFD

Motion Model Dependencies in CFD-FASTRAN
Moving-body models available in CFD-FASTRAN are highly suited to simulate complex prescribed and six-degree-of-freedom (6DOF) motions of rigid bodies. In many engineering problems, this translates to multiple bodies moving relative to one another.
Abraham Meganathan CFD

Low Mach Preconditioning and Dual Time Stepping in CFD-FASTRAN
Density-based schemes employing time-marching procedures available in CFD-FASTRAN provide excellent stability and convergence characteristics for high-speed compressible flows (typically M >0.5).
Abraham Meganathan CFD