cut_force_fit — DRIVE `cutting` op

• Data kinds: signal × signal × scalar → table

• Call: import fullseye as fs; fs.ledger.cut_force_fit(F_n, w_eff_mm, xi: 'float', min_w_mm: 'float' = 2.0) -> 'dict' (to call the implementation directly, import cutting; cutting.cut_force_fit(F_n, w_eff_mm, xi: 'float', min_w_mm: 'float' = 2.0) -> 'dict'; from the registry, opsdrive.get("cut_force_fit"))

Usage

Estimates toughness R (J/m²) by least squares through the origin from the force series F (N) during cutting and the cut width w_eff (mm).

> The detailed description below is the original text — the summary and the headings are translated.

模型: F = R · w_eff · g(ξ)、g = 1/(1+ξ²)(cut_force_atkins の slice_push、摩擦なし)。w_eff < min_w_mm の点(入り始め)は使わない。★ 合成の真値を同じ模型で作るとこの当てはめは配管の検査にしかならず、摩擦の分は R に吸い込まれる(返り値の model に書く)。返り値: R、rms_n、n、g、model。

References (sample data, literature)

• Sample-data catalog (download URLs / licences) — 2-D uses skimage.data (BSD/public domain) plus synthetic images; 3-D lists download URLs for real data sources (Stanford, PDS, …).

• Operator provenance and references — the sources of the research/methods this op family came from.

• The canonical algorithm (author, year) and its uses are named in the family usage guide above.

Runnable examples (verified samples that actually call this op)

• poc_food_cutting_measure — py -3.11 examples/poc_food_cutting_measure.py

Ops the type connects to (they accept `table` as input)

course_layout · course_occupancy · course_contains · world_build · world_camera · world_move · lidar_scan · rss_longitudinal_same

Same category (`cutting`)

cutting_scene · cutting_face_render · cutting_edge_render · cutting_episode_synth · cutting_wrist_mjcf · knife_edge_track · cut_depth_from_side · slice_thickness_profile

*Provenance: cutting.py — DRIVE operator registry. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*

cut_force_fit — DRIVE cutting op