ASME to offer program on defect analysis of lithium-based batteries

DEARBORN–The American Society of Mechanical Engineers Metro Detroit Section will offer an event, “Defect Analysis of Lithium-based Batteries,” on Thursday, June 13 from 6 to 7:30 p.m.

The free event is offered both live in person and online. A light supper will be provided to those attending in person.

The venue is the Professional Education Center of the University of Michigan-Dearborn, Rooms 1430 and 1440.

If attending via Zoom, the meeting will be available at using the Meeting ID of 950 5208 1074 and the pass code 855227. Directions are available at

The event will cover the use of X-ray radiography and computer tomography for defect analysis of lithium-based batteries. The presenter is Jie Shen, a professor in the department of computer and information science at UM-Dearborn. Shen is a fellow of both ASME and the Institution of Engineering and Technology, editor-in-chief of the International Journal of Modelling and Simulation.

Shen has published over 160 technical papers, three books, and has organized many international conferences and workshops. His research areas include modeling and simulation, machine learning, artificial intelligence, numerical analysis and optimization, data science, sensor technology, and computational materials science. He is the creator of two software tools, UM GeoModifier and UM MatDiagnoser, and contributed to the development of the well-known software OptiStruct.

Lithium-based batteries are the battery of choce for many applications due to their high storage capacity and long lifespan. Chen’s presentation will cover advanced non-destructive testing methods for analyzing the internal structures of lithium-based batteries, since there is no clear external evidence for almost all internal defects and damage that can reduce the performance and lifespan of these batteries. Among these methods, X-ray computed tomography has distinguished itself with its accuracy and usability. This talk presents a review of the capabilities of X-ray computed tomography in detecting internal defects, damage, and degradation in lithium-based batteries, such as welding burrs, foreign particles, electrode overlap and irregularity, interfacial delamination, electrode defects, cell degradation, and poor stack alignment. Solid-state batteries, microstructure, and post-mortem analysis are also discussed.

The presentation will also provide a comparison between X-ray computed tomography, scanning acoustic microscopy, and neutron tomography to highlight their synergy as non-destructive testing methods. As scientists, industrial professionals, and academics seek datasets, this talk presents a list of recent datasets for X-ray computed tomography and other non-destructive methodologies. These datasets enable them to choose the appropriate methodology for a given application. Lastly, fast CT scanning is reviewed for transient analysis and onsite inspection.

The in-person meeting will begin with supper and networking at 6 p.m. Chen’s presentation will begin at 6:30. Zoom participants are asked to join by 6:25. A question-and-answer session will follow the presentation.

All attendees will be eligible for a Professional Development Certificate showing one PDH hour of credit. Participants requiring that PDH hour are asked to indicate so on the registration form.

For further information or with questions, contact Chuck Stahl at

To register, visit

Attendees are asked to indicate if they will be attending in person or online, in order to determine food requirements.

Above image taken by Rudolf Simon of a BMW i3 battery pack at the Munich Trade Show Electronica via Wikimedia Commons.

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