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FreeTO vs modeFRONTIER

FreeTO

github.com

modeFRONTIER

engineering.esteco.com

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FigureFreeTOmodeFRONTIER
Price from——
Free plan——
Free trial——
Open source——
Windows—Yes
Linux—Yes
API—Yes
Self-hosted—Yes
Plans published01
Spec score · Generative Design Software6.8 (#18)7.4 (#12)
Founded20241999
PurposeFreeTO is open-source MATLAB code for initializing, optimizing, and post-processing free-form 3D topology optimization problems.modeFRONTIER automates engineering simulation workflows and optimizes designs by integrating third-party CAD/CAE and in-house engineering solvers.

Plans

FreeTO

No plans published.

FreeTO pricing →

modeFRONTIER

  • modeFRONTIER commercial licensePriced on request

modeFRONTIER pricing →

In their own words

FreeTO

FreeTO is free, open-source MATLAB software for initializing, optimizing, and post-processing free-form 3D topology optimization problems. It accepts STL files for a design domain and load-carrying subdomains, together with mesh controls and a target volume fraction. A structured hexahedral mesh is used, and optimized structures have smooth boundaries. Inputs can define supports, force magnitudes, up to nine additional load cases, and regions that must remain unchanged. SIMP is the documented default optimization method, and SEMDOT is also supported. Topologies can be mirrored across up to three specified symmetry planes. Results include compliance, volume fraction, density arrays, element counts, optimization histories, visual topology displays, and an optional STL file. Sample problems cover a GE bracket, airplane bracket, human hand model, and quadcopter. The repository uses an MIT license and other open-source codes. Its available optimizer is optimality criteria; the MMA implementation is commented out, with code available by email request.

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modeFRONTIER

modeFRONTIER automates engineering simulation workflows and design optimisation by connecting third-party CAD/CAE software with in-house solvers. It combines multiple engineering disciplines in unified workflows and allows several optimisation strategies in one project file. Design exploration includes design of experiments, response surface models, multi-objective optimisation, robust design, reliability analysis and uncertainty quantification. Surrogate models, machine-learning algorithms and reduced-order models support data-driven modelling; ESTECO identifies pilOPT as its proprietary self-adaptive optimisation algorithm. Integrations include parametric solvers and custom connectors for Abaqus, Adams, ANSYS Workbench, CATIA and ANSA. pyFRONTIER and pyCONSOLE connect Python workflows, including scikit-learn and SciPy optimize libraries. Workflows can run in parallel, on local grid computing, or through remote HPC and cloud resources. VOLTA adds collaboration, distributed execution and result traceability. Pricing is on request, with academic licences limited to non-commercial or academic use.

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