{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:P3HYDOGUE37B77OHU3KQCLU5HP","short_pith_number":"pith:P3HYDOGU","schema_version":"1.0","canonical_sha256":"7ecf81b8d426fe1ffdc7a6d5012e9d3be44a7f4f205464c39b33fb7789d627eb","source":{"kind":"arxiv","id":"1704.01219","version":2},"attestation_state":"computed","paper":{"title":"Modeling granular material blending in a rotating drum using a finite element method and advection-diffusion equation multi-scale model","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cond-mat.mtrl-sci","physics.comp-ph"],"primary_cat":"cond-mat.soft","authors_text":"Carl Wassgren, Marcial Gonzalez, Yu Liu","submitted_at":"2017-04-04T23:42:29Z","abstract_excerpt":"A multi-scale model is presented for predicting the magnitude and rate of powder blending in a rotating drum blender. The model combines particle diffusion coefficient correlations from the literature with advective flow field information from blender finite element method simulations. The multi-scale model predictions for overall mixing and local concentration variance closely match results from discrete element method (DEM) simulations for a rotating drum, but take only hours to compute as opposed to taking days of computation time for the DEM simulations. Parametric studies were performed u"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1704.01219","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.soft","submitted_at":"2017-04-04T23:42:29Z","cross_cats_sorted":["cond-mat.mtrl-sci","physics.comp-ph"],"title_canon_sha256":"521151fb6f435f8446622270c3d602fe6bb9690500dad87bea09245fb9d03e21","abstract_canon_sha256":"b01018d4890bcf8922493f5af0cafa2e4144e164cd2fca549d9e3c36d07aa102"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:19:08.945146Z","signature_b64":"8AV3Gi3ej+z3Sov9P5FgnTxGmK/lK8h54EmAhDJD6EOP/TXZvnK8+tong69NKu44loN6q2UPMGtIDrfx2btyAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7ecf81b8d426fe1ffdc7a6d5012e9d3be44a7f4f205464c39b33fb7789d627eb","last_reissued_at":"2026-05-18T00:19:08.944650Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:19:08.944650Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Modeling granular material blending in a rotating drum using a finite element method and advection-diffusion equation multi-scale model","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cond-mat.mtrl-sci","physics.comp-ph"],"primary_cat":"cond-mat.soft","authors_text":"Carl Wassgren, Marcial Gonzalez, Yu Liu","submitted_at":"2017-04-04T23:42:29Z","abstract_excerpt":"A multi-scale model is presented for predicting the magnitude and rate of powder blending in a rotating drum blender. The model combines particle diffusion coefficient correlations from the literature with advective flow field information from blender finite element method simulations. The multi-scale model predictions for overall mixing and local concentration variance closely match results from discrete element method (DEM) simulations for a rotating drum, but take only hours to compute as opposed to taking days of computation time for the DEM simulations. Parametric studies were performed u"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1704.01219","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"1704.01219","created_at":"2026-05-18T00:19:08.944726+00:00"},{"alias_kind":"arxiv_version","alias_value":"1704.01219v2","created_at":"2026-05-18T00:19:08.944726+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1704.01219","created_at":"2026-05-18T00:19:08.944726+00:00"},{"alias_kind":"pith_short_12","alias_value":"P3HYDOGUE37B","created_at":"2026-05-18T12:31:37.085036+00:00"},{"alias_kind":"pith_short_16","alias_value":"P3HYDOGUE37B77OH","created_at":"2026-05-18T12:31:37.085036+00:00"},{"alias_kind":"pith_short_8","alias_value":"P3HYDOGU","created_at":"2026-05-18T12:31:37.085036+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/P3HYDOGUE37B77OHU3KQCLU5HP","json":"https://pith.science/pith/P3HYDOGUE37B77OHU3KQCLU5HP.json","graph_json":"https://pith.science/api/pith-number/P3HYDOGUE37B77OHU3KQCLU5HP/graph.json","events_json":"https://pith.science/api/pith-number/P3HYDOGUE37B77OHU3KQCLU5HP/events.json","paper":"https://pith.science/paper/P3HYDOGU"},"agent_actions":{"view_html":"https://pith.science/pith/P3HYDOGUE37B77OHU3KQCLU5HP","download_json":"https://pith.science/pith/P3HYDOGUE37B77OHU3KQCLU5HP.json","view_paper":"https://pith.science/paper/P3HYDOGU","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1704.01219&json=true","fetch_graph":"https://pith.science/api/pith-number/P3HYDOGUE37B77OHU3KQCLU5HP/graph.json","fetch_events":"https://pith.science/api/pith-number/P3HYDOGUE37B77OHU3KQCLU5HP/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/P3HYDOGUE37B77OHU3KQCLU5HP/action/timestamp_anchor","attest_storage":"https://pith.science/pith/P3HYDOGUE37B77OHU3KQCLU5HP/action/storage_attestation","attest_author":"https://pith.science/pith/P3HYDOGUE37B77OHU3KQCLU5HP/action/author_attestation","sign_citation":"https://pith.science/pith/P3HYDOGUE37B77OHU3KQCLU5HP/action/citation_signature","submit_replication":"https://pith.science/pith/P3HYDOGUE37B77OHU3KQCLU5HP/action/replication_record"}},"created_at":"2026-05-18T00:19:08.944726+00:00","updated_at":"2026-05-18T00:19:08.944726+00:00"}