Batch Liquid Transport

The Batch Liquid Transport module provides specialized models for discrete liquid transfer operations commonly used in batch processing applications.

Batch Liquid Models:

Overview

This module implements physics-based models for batch liquid transfer systems focusing on:

  1. Pump-Based Transfer (BatchTransferPumping) - Controlled liquid transfer using pumps

Key Capabilities

  • Volume Control - Precise batch volume measurement and control

  • Transfer Time Prediction - Accurate cycle time estimation

  • Pump Performance - Integration of pump curves and efficiency factors

  • System Hydraulics - Complete hydraulic analysis including friction losses

  • Level Control - Tank level monitoring and control integration

Applications

Batch liquid transfer is essential for:

  • Chemical Batch Processing - Reactor charging and product transfer

  • Pharmaceutical Manufacturing - GMP-compliant material handling

  • Food Processing - Sanitary batch operations

  • Laboratory Systems - Precise sample and reagent transfer

Quick Start

Basic Batch Transfer Setup

from transport.batch.liquid import BatchTransferPumping

# Create batch transfer model
transfer = BatchTransferPumping(
    tank_volume=2.0,         # Source tank capacity (m³)
    transfer_volume=0.5,     # Target batch size (m³)
    pump_capacity=0.01,      # Pump flow rate (m³/s)
    pipe_length=50.0,        # Transfer line length (m)
    pipe_diameter=0.05,      # Transfer line diameter (m)
    static_head=5.0          # Elevation difference (m)
)

# Perform steady-state analysis
result = transfer.steady_state([
    0.5,      # Transfer volume (m³)
    101325,   # System pressure (Pa)
    293.15    # Fluid temperature (K)
])

transfer_time, accuracy, residual_volume = result

print(f"Transfer time: {transfer_time:.1f} seconds")
print(f"Volume accuracy: {accuracy:.3f}%")
print(f"Residual volume: {residual_volume:.4f} m³")

Advanced Operations

Dynamic Transfer Analysis:

# Run dynamic simulation
time_span = (0, 300)  # 5 minute simulation
dynamic_result = transfer.dynamics(
    y0=[2.0, 0.0],  # Initial conditions [source_level, transferred_volume]
    t_span=time_span,
    inputs=[0.5, 101325, 293.15]
)

time, states = dynamic_result
source_level = states[:, 0]
transferred_volume = states[:, 1]

Multi-Batch Operations:

# Sequential batch transfers
batch_volumes = [0.5, 0.3, 0.7]  # Multiple batch sizes
results = []

for volume in batch_volumes:
    result = transfer.steady_state([volume, 101325, 293.15])
    results.append(result)
    print(f"Batch {volume} m³: {result[0]:.1f} seconds")

See Also