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Improving Mathematical Model Development and Implementation

By Christophe Grosjean, Anita Rea, Patrick M. Piccione |

This article provides practical guidance for engineers and highlights the importance of combining mathematical skills, domain expertise and proper communications The role of mathematical models in chemical engineering keeps increasing, to the point that some engineers become specialized “modelers.” To combine mathematical skills, domain expertise, and usage conditions more effectively, all forms of communication and the exchange of information between modelers and their customers must be given proper attention. Some guidelines and recommendations are discussed below.   What are models? Models are representations of reality — conceptual, mathematical or a combination thereof. They are flexible, simplified versions of complex real systems for which there is a desire to better understand and predict how the systems work or what types of outputs they can produce. Models are ubiquitous in scientific endeavors, and, over the years, process modeling of physico-chemical systems has become a valuable tool for the engineer. Mathematical models built from first principles, or using pre-existing modules, have the ability to save time and material, and also improve quality, efficiency and safety during process and product design,…
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