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Grounded in available product and source data
I built this for the awkward stage where a full FEA or CFD setup is premature, but “this looks printable” is not enough. It uses closed-form models to expose stiffness, porosity, and LPBF feature conflicts in milliseconds.
Edit the sentence or run the built-in titanium lattice case as written.
CPE TPMS is a browser-based early-design screening tool for metal additive manufacturing. It ranks seven TPMS lattice families, checks representative LPBF feature limits for thirteen metals, and runs idealized structural, thermal, and straight-passage fluid calculations.
The intended gap is between an unsupported first guess and a full Ansys, nTop, or other numerical workflow. The result should help decide which candidates deserve detailed modeling; it is not a shortcut around validation.
Two implementation choices are deliberate. The plain-language input uses a deterministic parser rather than an LLM, so its supported vocabulary can be inspected. The physics runs from closed-form relations rather than a hidden solver, so the assumptions and failure modes can be stated alongside the result. When stiffness and porosity cannot both be reached, the tool reports the conflict instead of returning a generic green check.
Choosing a TPMS lattice is not just a matter of picking the most familiar shape. A candidate that looks promising may fail a minimum stiffness target, miss a porosity requirement, or require walls that are too thin for the intended LPBF process.
Open Describe Your Part and enter a normal sentence:
The site first shows what it understood: material, shape, dimensions, and requested analyses. Check that interpretation before reading the calculated results.
