Modern Dimensional Analysis Involved in Polymers Additive Manufacturing Optimization

Area of Science:

• Materials Science
• Engineering
• Polymer Science

Background:

• Additive manufacturing (AM) of polymers presents complex optimization challenges.
• Classical dimensional analysis methods have limitations in fully characterizing AM processes.
• Optimizing polymer AM requires advanced analytical tools for process control.

Purpose of the Study:

• To apply Modern Dimensional Analysis (MDA) for the optimization of polymer additive manufacturing.
• To introduce a nonconventional method for analyzing and optimizing polymer AM processes.
• To demonstrate the capability of MDA in deriving comprehensive dimensionless variables.

Main Methods:

• Application of Modern Dimensional Analysis (MDA) to polymer additive manufacturing.
• Derivation of complete sets of dimensionless variables using MDA.
• Experimental validation of the MDA-derived model.
• Step-by-step analysis of the MDA application in polymer AM.

Main Results:

• MDA successfully provided complete dimensionless variables for polymer AM optimization.
• The developed model offers advantages over classical methods like Geometric Analogy and Theory of Similarity.
• Experimental validation confirmed the efficacy of the MDA approach.
• The study presents a detailed application and analysis of MDA in polymer AM.

Conclusions:

• Modern Dimensional Analysis (MDA) is a powerful, nonconventional tool for polymer additive manufacturing optimization.
• MDA offers a more comprehensive approach to dimensional analysis compared to classical methods.
• The experimental validation supports the practical applicability and effectiveness of MDA in this field.