Leaching Process Design

Leaching Process Design MCP Connector for Claude

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Design efficient solid-liquid extraction processes using kinetic and equilibrium modeling.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides specialized engineering tools for designing solid-liquid extraction (leaching) processes. It models the kinetics and equilibrium required to optimize solvent use and extraction time. Use calculate_extraction_time to determine batch durations, estimate_solvent_requirement to calculate necessary liquid volumes, design_multi_stage_process to plan multi-step extractions, and analyze_diffusion_efficiency to evaluate mass transfer based on particle size and viscosity.

leachingextractionkineticsdiffusionchemical-engineering

4 tools expose this connector's capabilities to your AI agent.

estimate_solvent_requirement

Calculates the volume of solvent needed to reach a target solute concentration in the liquid phase

analyze_diffusion_efficiency

Evaluates how particle size and diffusion coefficients affect the extraction speed

calculate_extraction_time

Determines how long a single-stage batch extraction must run to reach a specific target recovery

design_multi_stage_process

Determines the number of extraction stages required to meet a recovery target

See how to talk to your AI agent using Leaching Process Design.

How long will it take to reach 90% recovery for a solid with a particle size of 0.5mm?

The extraction time required to reach 90% recovery with a 0.5mm particle size is 45 minutes.

How much solvent do I need for 100kg of solid containing 20kg of solute at a target concentration of 5%?

You will need 400 liters of solvent to achieve a 5% concentration for 20kg of solute.

Calculate the efficiency score for a particle size of 0.2mm and a diffusion coefficient of 1.5e-9.

The efficiency score for these parameters is 0.85.

Smaller particle sizes increase the surface-area-to-volume ratio, which accelerates the extraction rate by reducing diffusion paths.

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