Experimental Designs: Response Surface Design
Central Composites are designed to estimate the coefficients of a quadratic model i.e. one can model curvature. They are ideal for predictive models.
Once key parameters have been identified using screening designs, optimisation designs such as response surface design are used to more precisely model the curvature around our reaction optimum. It allows one to get deeper understanding of a process and identify the region in which the process conditions satisfy one or more goal.
- Route Selection
- GMP
- Introduction to Process Engineering
- Route Selection and Scale Up: Case Study and Exercise
- Process Safety
- Reactive Hazards in Scaling Up: Case Study and Exercise
- Design of Experiments
- Some Definitions
- The Experimental Design Process
- Comparing Traditional Approaches to Experimental Design
- Examples of Variables and Responses for a Chemical Process
- Main Effects and Interactions
- Experimental Designs: Factorial Designs
- Experimental Designs: Response Surface Design
- Design of Experiments: Summary and Further Reading
- Reaction Work-up and Product Isolation
- Environmental Legislation
- Abatement and Waste Treatment