Enables natural language analysis of mechanical test data files (CSV, TDMS, MDF) by providing tools for channel statistics, spectrum analysis, rainflow fatigue counting, thermal state detection, and report generation.
Enables natural-language control of Abaqus/Standard FEA simulations, allowing users to build models, run jobs headlessly, and automatically diagnose and fix solver failures by reading output files and retrying.
Enables real finite element analysis from natural language: accepts STEP geometry and plain-English questions, validates setups deterministically, meshes and solves with CalculiX on Modal, and returns engineering verdicts (stress, safety factor, deflection, modal frequencies) with rendered plots and an interactive 3D viewer.
Fits a lithium-ion full-cell dual-water-tank model from charge/discharge voltage-capacity data for battery aging mechanism identification, with parameter fitting, batch processing, and MCP server integration.
Enables exploration of manufacturing equipment data and analysis of failure risk, supporting monitoring, failure classification, and anomaly detection through natural language.
