polymercost 0.1.1

Python tools for polymer compounding cost and properties estimation.

🧪 polymercost

Python tools for polymer compounding: Calculate Cost, Specific Gravity (SPG), and estimate key material properties like Durometer, Modulus, and Tensile strength for compounded formulas.

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💾 Installation

You can install polymercost using pip:

pip install polymercost

🚀 Usage

Here's a quick example of how to use the core functions:

Python

from polymercost import spg_costs, flex_clear_dop

Define the compound formula: a list of tuples (Parts per Hundred Resin (phr), Specific Gravity (spg), Cost per pound ($))

Python

formula = [(100, 1.4, 0.475), (20, 2.71, 0.0625)]

Calculate SPG, Cost by Weight, and Cost by Volume

spg, cost_wt, cost_vol = spg_costs(formula)
print(f"Calculated Specific Gravity (SG): {spg:.3f}")
print(f"Cost per Weight ($/lb): {cost_wt:.4f}")
print(f"Cost per Volume ($/in³): {cost_vol:.4f}")

Example: Estimate properties for a clear flexible PVC compound with 50 phr DOP plasticizer

duro, mod, tens, elong, clash, brittle = flex_clear_dop(50)
print(f"\nEstimated Properties (50 phr DOP):")
print(f"  Durometer (Shore A): {duro}")
print(f"  100% Modulus (psi): {mod}")
print(f"  Tensile Strength (psi): {tens}")

✨ Features

spg_costs: The core function for calculating Specific Gravity, Cost/Weight, and Cost/Volume based on a compounded formula.

Property Estimators: Functions (like flex_clear_dop) to estimate properties for common polymer systems (e.g., Durometer, Tensile Strength, Elongation). These are for example only as some are made on very sparse datasets. Ideally you would derive your own formulas here from your own lab data. These are included and based off limited data.

📝 License

polymercost is released under the MIT License.