A physics-informed clustering approach for ultrasonics-based nondestructive evaluation

 A physics-informed clustering approach for ultrasonics-based nondestructive evaluation


We propose a physics-informed clustering (PIC) algorithm tailored for ultrasonic non-destructive evaluation. Ultrasonic pulse-echo testing is used to measure the wave speed and wave amplitude decay of additively manufactured AlSi10Mg samples with programmatically induced pores and varying total volumetric porosities. 
The standard k-means clustering algorithm is coupled with the Independent Scattering Approximation (ISA) model to group together samples of similar porosity based on their ultrasonic response. 
The performance of the proposed PIC algorithm across varying seeds and numbers of clusters is compared to that of the standard k-means algorithm with random and k-means++ initializations. We demonstrate that the proposed PIC algorithm yields a more favourable clustering in terms of Pearson correlation coefficient and mean squared error given the ground-truth porosity labels. 
Our case study suggests that using a physics equation to inform a clustering algorithm can improve the clustering outcome.

Global Particle Physics Excellence Awards



#Sciencefather 
#PhysicsInformedClustering 
#UltrasonicsNDE
#NondestructiveTesting 
#MachineLearningNDE 
#StructuralHealthMonitoring 
#DataDrivenNDE 
#PhysicsAI 
#SignalProcessing

Comments

Post a Comment

Popular posts from this blog

Numerical investigation and optimization of vertical pneumatic separation of film-like particles in lithium iron phosphate battery recycling

Image
  Numerical investigation and optimization of vertical pneumatic separation of film-like particles in lithium iron phosphate battery recycling Battery recycling is crucial due to its environmental and economic benefits, with efficient separation of the crushed battery mixture forming the basis of the process. However, numerical studies on this process remain limited primarily due to the highly non-spherical shapes of the particles involved.  Spherical particles are commonly used in limited numerical investigations with compromised accuracy and reliability. In this study, the separation of crushed battery mixture by vertical pneumatic separator is simulated using the coupled method of computational fluid dynamics (CFD) and discrete element method (DEM).  The non-spherical particles in the crushed battery mixture is resembled by cylindrical film-like particles, and the Hölzer and Sommerfeld drag coefficient is applied to enhance the accuracy of the drag force calculation. A...
Read more