scale-up-analyzer

name	scale-up-analyzer
description	Process scale-up analysis skill for dimensional analysis, similarity criteria, and pilot-to-production transitions
allowed-tools	["Read","Write","Glob","Grep","Edit","Bash"]
metadata	{"specialization":"chemical-engineering","domain":"science","category":"Process Development","skill-id":"CE-SK-009"}
graph	{"domains":["domain:chemical-engineering"],"skillAreas":["skill-area:physics-simulation","skill-area:mathematical-reasoning","skill-area:statistical-analysis"],"workflows":["workflow:experiment-design"],"roles":["role:research-engineer","role:computational-scientist"]}

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