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In order to be competitive, modern manufacturers have to offer best-in-class
products. Superior quality of the product requires introduction of new materials, digital design
methods and advanced manufacturing technologies into production process. Special attention
is given to numerical simulation as the most time efficient, flexible and cheap method to
evaluate the level of optimality and viability of the proposed solution as well as to predict
further Product Life-Cycle. Accurate setting of material properties and representation of
complex material structure is crucial for product design employing simulation. Commonly,
material representation for simulation purpose is based on the analytical relationships that
provide approximate data and cannot provide multiscale information about structure. Initiation
of Material Genome Initiative (MGI) as well as the study of Big Data and Machine Learning
concepts leads to development of new, more accurate and reliable instruments for product
design that involve material simulation and optimization of material selection process.
Keywords: Factory of Future (FoF), Material Genome Initiative (MGI), Integrated Computational Materials Engineering (ICME), Computer-Aided Engineering, Big-Data, Machine Learning. |
full paper (pdf, 1120 Kb)