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powder-characterization

Calculate powder flow and shear test parameters for electrode powders.

Updated Aug 27, 2026
Search Tags:#dem#powder#beverloo#jenike#hausner-ratio#nmc811#flowability
One-click install
npx skills add https://github.com/yjang-git/HoneyPot --skill powder-characterization
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: powder-characterization
Source: https://github.com/yjang-git/HoneyPot/tree/main/plugins/powder-analyzer/skills/powder-characterization
Command: npx skills add https://github.com/yjang-git/HoneyPot --skill powder-characterization

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires numpy, scipy, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

Provides lab-grade domain knowledge, calculation tools, and validated procedures to design powder characterization experiments and interpret powder flow and shear test results for electrode materials such as NMC811, reducing ambiguity in hopper design, DEM calibration, and ASTM-based testing.

Core Features & Use Cases

  • Standards and equipment guidance: Summarizes relevant ASTM tests (Jenike D6128, FT4, Hall/Carney, Beverloo setups) and precise Jenike cell dimensions and procedures.
  • Analytical engine: CLI-driven calculations for Beverloo fitting, Hausner Ratio/Carr Index, Jenike load, Mohr-Coulomb yield locus, wall friction, and DEM parameter mapping with JSON outputs.
  • Experiment design & reporting: Assets and reference templates for protocol generation, NMC811 expected ranges, safety notes, and custom-vs-standard equipment checklists to produce reproducible lab reports.

Quick Start

Run the powder-characterization script with your experimental JSON to compute Hausner/Carr, Beverloo fits, Jenike shear analysis, wall friction, and mapped DEM parameters.

Frequently Asked Questions about powder-characterization

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I calculate Hausner Ratio and Carr Index for battery electrode powders?▼

Powder characterization for NMC811 involves ASTM-based Jenike shear tests and Beverloo fitting to measure flowability, which this tool calculates numerically using numpy and scipy to map measured parameters directly to DEM inputs.

How do I fit Beverloo law data for orifice discharge experiments?▼

Beverloo fitting is performed by running the analytical script with your discharge mass-flow data, utilizing scipy for non-linear fitting to calculate the Beverloo constants and emit structured JSON outputs for hopper and orifice design scenarios.

Can I map Jenike shear test results to DEM calibration parameters?▼

Yes, the tool maps Jenike shear test results, including Mohr-Coulomb yield locus and wall friction data, to DEM calibration parameters by processing experimental JSON inputs and outputting mapped parameters for discrete element method simulations.

Do I need scipy to perform powder flowability calculations and Jenike analysis?▼

Scipy is optional for non-linear fitting tasks like Beverloo analysis, while numpy is required for all deterministic calculations including Hausner Ratio, Carr Index, Jenike load, and Mohr-Coulomb yield locus analysis.

What ASTM standards are referenced for powder characterization experiment design?▼

The tool references ASTM D6128 for Jenike shear testing alongside FT4, Hall, and Carney flowability tests, providing cell dimensions, procedures, and NMC811 expected ranges to generate reproducible lab reports and experiment protocols.

Why does my DEM simulation of NMC811 powder flow not match experimental hopper discharge?▼

DEM simulations of NMC811 flow may mismatch experiments when inputs are uncalibrated; this tool resolves discrepancies by fitting Beverloo discharge data and mapping Jenike shear, wall friction, and Hausner Ratio measurements directly to validated DEM input parameters.

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