grind op• Data kinds: scalar × scalar → table
• Call: import fullseye as fs; fs.ledger.comminution_energy(x_feed: 'float', x_product: 'float | None' = None, law: 'str' = 'bond', C: 'float' = 1.0, n: 'float | None' = None, energy: 'float | None' = None) -> 'dict' (to call the implementation directly, import grind; grind.comminution_energy(x_feed: 'float', x_product: 'float | None' = None, law: 'str' = 'bond', C: 'float' = 1.0, n: 'float | None' = None, energy: 'float | None' = None) -> 'dict'; from the registry, opsdrive.get("comminution_energy"))
> This operator's description has not been translated yet. The original text follows as it is.
粉砕則の閉形式(Reddy の式 (1)・(5)〜(7))。`x_product と energy` の ちょうど一方 を与える。
一般式 `dE = −C dx / x^n を積分して E = C/(n−1) (x₂^{1−n} − x₁^{1−n})(n ≠ 1)、E = C ln(x₁/x₂)`(n = 1)。
`law: "kick"(n = 1)、"bond"(n = 1.5、E = 2C(1/√x₂ − 1/√x₁))、"rittinger"(n = 2)、"walker"(n` を渡す)、
`"bond_wi"(W = 10 Wi (1/√P80 − 1/√F80)、C を作業指数 Wi [kWh/t] と読み、径は µm、= bond で C = 5 Wi`)。
`x_feed は n > 1 なら inf` を許す(無限大の供給からの全エネルギー、Reddy の式 (2)〜(4))。
返り: `E・x_feed・x_product・law・n・C。細かくならない(x_product ≥ x_feed)・負のエネルギー → ValueError`。
• 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.
• poc_dose_uniformity_from_grinding — py -3.11 examples/poc_dose_uniformity_from_grinding.py
• poc_powder_grinding_ae — py -3.11 examples/poc_powder_grinding_ae.py
table as input)course_layout · course_occupancy · course_contains · world_build · world_camera · world_move · lidar_scan · rss_longitudinal_same
grind)particle_size_read · particle_size_dx · particle_size_oversize · particle_size_synth · comminution_law_fit · breakage_first_order_fit · replicate_compare · ae_read_csv
*Provenance: grind.py — DRIVE operator registry. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.