Bending strength values and 1000x microscopic images of Cu3Sn samples

Nowadays, how to non-destructively obtain the bending strength of the bronze-based matrix fabricated by low-temperature hot pressing sintering (HPS) is still difficult. The main contribution of our research is a proposed visual quantization model based on microstructure features of metallographic microscopy images and machine learning to predict the bending strength of bronze-based material. Exploring the interrelationship between microstructure features and mechanical properties will guide the modulation of grinding wheel composition and HPS parameters. The proposed visual quantization model will play a key role in the inverse technical route for fabricating the bronze-based diamond grinding wheel matrix.It is still difficult to accurately predict the bending strength of the bronze-bonded diamond grinding wheel matrix. To investigate the latent relationship between the microstructure and the bending strength, a visual quantization model based on the microstructure of the Cu-Sn alloy samples was established in this study. Bending strength values and 1000x microscopic images of Cu3Sn samples.