The development of empirical models typically involves the following steps: 1. Data Collection: Gathering experimental data under various operating conditions. 2. Model Selection: Choosing a suitable mathematical form (e.g., linear regression, polynomial, exponential). 3. Parameter Estimation: Using statistical methods to fit the model to the data. 4. Validation: Comparing model predictions with additional experimental data to ensure accuracy.
