RSM works by fitting a polynomial equation to the experimental data. The process generally involves the following steps:
1. Designing the Experiments: Selecting the variables and their levels. 2. Conducting the Experiments: Performing the experiments as per the design. 3. Fitting the Model: Using regression analysis to fit a polynomial equation. 4. Analyzing the Results: Evaluating the model and understanding the interaction effects. 5. Optimization: Finding the optimal conditions for the desired response.
