Chemical
products can be classified as single species, mixtures
and/or blends, formulated and/or functional products, and chemicals-based
devices. Each product class is represented by a suite of models representing
different subclasses depending on the product function and/or application.
In this work, a versatile modeling framework consisting of a collection
of submodels (molecular structure, property, process, costing, pricing,
economic, quality, sustainability, environmental, and performance)
is presented. Each submodel has different versions, e.g., models with
different complexity for a specific property and/or function. Also,
together with an associated database and a model generation subsystem,
new models can be created through data regression and machine-learning-based
modeling. Subsequently, problem analysis and solution strategies are
highlighted for different types of chemical product design problems,
including single-species product (CAMD), blended product design (CAMbD-1), and single-phase formulated product design (CAMbD-2). Decomposing the product design problems into different
subproblems and for each problem type, the models and an appropriate
solution approach are applied to find feasible/promising products.
The developed modeling framework has been incorporated into a chemical
product design software tool, ProCAPD, along with an extended database
and a library of product design templates. The application of ProCAPD,
together with the versatile modeling framework, is highlighted through
several case studies.