Home | Back to Courses
Design of Experiments for Mixtures

Partner: Udemy
Affiliate Name:
Area:
Description: Welcome to "Design of Experiments for Mixtures"!Whether you're a scientist, an engineer, a researcher, or just someone interested in creating, perfecting, or innovating products with mixtures, this course will help you understand the principles of mixture designs.Mixtures are everywhere in our daily lives, from food recipes to pharmaceutical and chemical formulations, and material development. However, optimizing these mixtures is often a challenging task, as they involve multiple components, that interact among themselves to give the final properties of the product. Traditional experimental approaches may not be suitable for a clear understanding of these interactions, which is where the concept of "Design of Experiments" (DOE) specifically tailored to mixtures comes into play. This course will delve into the fundamental principles of mixture designs.We will start our journey by identifying when to use mixture designs instead of a traditional design of experiments approach and learning how to read and interpret plots in triangular coordinates. In the next step, we will learn the best approaches to distributing design points throughout a triangular surface using Simplex Designs. By then, we will be ready to dive into several real Case Studies from the food and pharmaceutical areas, covering different aspects of mixture designs and analysis. Finally, we will see Case Studies where the mixture variables have constraints and cannot vary over the whole mixture space.This is not a beginner course; it's essential to have some previous knowledge of DOE before enrolling on "Design of Experiments for Mixtures".The analysis of the data will be performed using R-Studio. This is not an R course; this way, it is desirable that students have some familiarity with R. The R codes and the data files used in the course can be downloaded, the functions will be briefly explained, and the codes can be easily adapted to analyse the student’s data.Any person who per
Category: Teaching & Academics > Engineering > Design of Experiments (DOE)
Partner ID:
Price: 94.99
Commission:
Source: Impact
Go to Course