Назад към всички

scale-up-analyzer

// Process scale-up analysis skill for dimensional analysis, similarity criteria, and pilot-to-production transitions

$ git log --oneline --stat
stars:384
forks:73
updated:March 4, 2026
SKILL.mdreadonly
SKILL.md Frontmatter
namescale-up-analyzer
descriptionProcess scale-up analysis skill for dimensional analysis, similarity criteria, and pilot-to-production transitions
allowed-toolsRead,Write,Glob,Grep,Edit,Bash
metadata[object Object]

Scale-Up Analyzer Skill

Purpose

The Scale-Up Analyzer Skill supports process scale-up from laboratory to pilot to production scale using dimensional analysis, similarity criteria, and scale-up correlations.

Capabilities

  • Dimensional analysis
  • Similarity criteria evaluation
  • Scale-up factor calculation
  • Heat transfer scale-up
  • Mass transfer scale-up
  • Mixing scale-up (power per volume, tip speed)
  • Reaction scale-up considerations
  • Risk assessment for scale-up

Usage Guidelines

When to Use

  • Scaling from lab to pilot
  • Scaling from pilot to production
  • Evaluating scale-up feasibility
  • Identifying scale-sensitive parameters

Prerequisites

  • Lab/pilot data available
  • Process fundamentals understood
  • Critical parameters identified
  • Target scale defined

Best Practices

  • Identify controlling mechanisms
  • Maintain appropriate similarity criteria
  • Plan incremental scale-up steps
  • Validate at each scale

Process Integration

This skill integrates with:

  • Scale-Up Analysis
  • Process Simulation Model Development
  • Performance Testing and Validation

Configuration

scale-up-analyzer:
  scale-up-methods:
    - geometric-similarity
    - dynamic-similarity
    - thermal-similarity
  scale-factors:
    - 10x
    - 100x
    - 1000x

Output Artifacts

  • Scale-up calculations
  • Similarity analysis
  • Risk assessments
  • Scale-up recommendations
  • Parameter predictions