[Seminar] "Mechanoluminescence - smart visualization of dynamic mechanical behaviors toward innovative evaluation, design, and simulation" by Dr. Nao TERASAKI

Speaker:

Dr. Nao Terasaki, Team Leader, National Institute of Advanced Industrial Science and Technology (AIST)

Title:

Mechanoluminescence - smart visualization of dynamic mechanical behaviors toward innovative evaluation, design, and simulation

Abstract:

Mechanoluminescent (ML) sensing materials are functional ceramic micro powders that emit intense light repeatedly under mechanical stimuli. This phenomenon is observed even within the region of elastic deformation. When dispersed onto the surface of a structure, individual ML particles function as sensitive mechanical sensors, and the two-dimensional (2D) ML pattern reflects the dynamic strain distribution. The ML emission pattern consists of a mechanical simulation of the strain distribution .

ML sensors have been applied to visualize two-dimensional (2D) and three-dimensional (3D) dynamic mechanical behaviors in elastic, plastic, and destruction processes using coupon test specimens comprising recent advanced lightweight structural materials (e.g., high-tensile strength steel, aluminum, carbon fiber-reinforced plastic: CFRP), the adhesive joint for damage tolerance design and components of products (e.g., gear, flexible electronics file for foldable phone and complicated adhesive and/or welding joints used for validating computer-aided engineering (CAE) results in laboratory-level testing.  Additionally, ML sensors have been successfully applied in practical applications such as structural health monitoring (SHM) of buildings and bridges for detecting crack propagation or probability of strain concentration leading to structural degradation, monitoring of the inner crack propagation in interlaminar layer, prediction of the lifetime of high-pressure hydrogen vessels, impact tests of mobility for visualizing impact wave propagation or excitation of vibration mode1, and visual sensing of sports tools to determine appropriate physical settings for the win. In this presentation, I would like to introduce the ML material and basic properties of ML visual sensing at first, and then explain application of the smart visualization of dynamic mechanical behaviors using ML sensing toward innovative evaluation, design, and simulation.