Whether you are using one of the Top500 supercomputers or a modest cluster for CFD, post-processing can be a big bottleneck. Since this is where decisions are made and your goal is to make the best decisions possible, why not optimize your post-processing workflow? FieldView does this in three important ways:
1. Automating post-processing to perform repetitive tasks has great leverage in streamlining a workflow. FieldView supports scripting your workflow via various built-in tools, such as FVX and external scripting languages like Python. FVX allows direct creation of visualization objects based on parameters or names that you define when you set up your solver input deck. So, if you are looking at variations on a geometry, use a standardized naming convention across all solutions (like ‘wheel’ or ‘impeller-suction-side’) - the same script can be used repeatedly across all solutions via a loop, even if the solutions come from different solver codes. Standardized reports have never been easier!
2. Data management: most organizations simply cannot move or even store all of the results files from solvers. This is emerging as a significant and costly CFD optimization challenge. FieldView provides data reduction and organization through the integrated eXtract database or XDB mechanism. Post processing objects such as streamlines, cut planes, iso-surfaces, etc. can be saved and restored via XDBs, with one hundred-fold reduction in file size over the CFD result files. XDBs can form the basis for archives and sharing in your CFD workflow with speed and ease.
3. Reliability is mission critical to successful automation, that’s why Intelligent Light software engineers designed and rigorously tested FieldView for reliable performance under the most challenging conditions. The result: FieldView easily handles the largest datasets, locally, on attached servers or in the cloud. Client-server and parallel operation provide the flexibility to design your workflow with confidence.