Interaction-Based Model to Predict Tensile Strength of Compacted Mixtures from Individual Component Data

Area of Science:

• Materials Science
• Chemical Engineering
• Powder Technology

Background:

• Powder mixture tensile strength depends on particle-particle contact strength.
• Existing models often assume simple pairwise interactions, which may not reflect complex consolidated systems.

Purpose of the Study:

• To develop and validate a new model for predicting powder mixture tensile strength using higher-order interparticle interactions.
• To improve upon traditional pairwise interaction models.

Main Methods:

• Modeling interparticle contacts using higher-order interactions (beyond pairwise).
• Developing a model where interaction strength depends on the composition of interacting particle clusters.
• Evaluating the model with diverse compacted powder mixtures.

Main Results:

• Higher-order interactions provide more accurate predictions of tensile strength compared to pairwise models.
• Fourth-order interactions demonstrated the best predictive performance.
• The new model achieved average deviations of ≤0.22 MPa when compared to experimental data.

Conclusions:

• Higher-order interparticle contact modeling is superior for predicting the tensile strength of consolidated powder mixtures.
• The proposed model offers enhanced accuracy and broader applicability than previous methods.