Python Code for RSM-Based Optimization of Ceramic Membranes for Water Treatment

This repository contains Python scripts developed for the application of Response Surface Methodology (RSM) in the optimization of ceramic membrane fabrication for water treatment. Two main computational approaches are provided: 1. RSM Modeling of Optimal Temperature : This script includes the full Python implementation used to simulate and determine the optimal sintering temperature. The optimization is based on an objective function (Z), constructed from experimentally derived parameters reported in the associated article for membranes prepared from raw clay. 2. RSM Modeling of Optimal Membrane : This script provides the Python code used to determine the optimal starch content in the ceramic membrane. All membranes with varying starch percentages were sintered at the previously optimized temperature. The optimization is carried out using a modified objective function (Z), calculated from adapted parameters corresponding to membrane composition. The provided scripts allow response surface modeling , and visualization of optimal conditions. These files support the reproducibility of the results presented in the associated research article and provide a computational framework for optimizing low-cost ceramic membranes for sustainable water treatment applications.本仓库收录了为将响应面法（Response Surface Methodology，RSM）应用于水处理用陶瓷膜制备优化而开发的Python脚本。 本仓库提供两类核心计算方案： 1. 最优烧结温度响应面建模 本脚本包含完整的Python实现代码，可用于模拟并确定最优烧结温度。本次优化基于目标函数Z构建，该函数由关联研究论文中针对原生黏土制备的陶瓷膜所报道的实验参数推导得到。 2. 最优膜配方响应面建模 本脚本提供了用于确定陶瓷膜最优淀粉添加量的Python代码。所有淀粉配比不同的陶瓷膜均在已优化得到的烧结温度下完成烧结。本次优化采用修正后的目标函数Z，其由适配于膜配方的参数计算得出。 所提供的脚本可实现响应面建模与最优制备条件的可视化。这些文件可复现关联研究论文中展示的实验结果，并为面向可持续水处理应用的低成本陶瓷膜优化提供完整的计算框架。