题目：Seeing the Unseen: Invizo 6000 APT Driven Defect Analysis for High-performance AM Alloys
时间：2026年1月9日 15:30-17:00
地点：JINNIAN金年会 F310会议室
邀请人：宋淼 副教授（核燃料循环与核材料研究所）
Biography
Dr. Tan Xipeng is currently a tenure-track Assistant Professor in the Department of Mechanical Engineering, National University of Singapore. He received his PhD in materials science from the Institute of Metal Research (Shenyang IMR), Chinese Academy of Sciences in 2013. After his postdoctoral training on atom probe tomography in France, he joined Nanyang Technology University as a Senior Research Fellow working on metal additive manufacturing. Dr. Tan is leading a newly set up XP3 Lab @NUS, focusing on powder metallurgy, 3D printing, and atom probe tomography. His main research interest lies in microstructure design and control strategies for high-performance metal additive manufacturing. He published more than 70 peer-reviewed journal papers in metallurgy and additive manufacturing, including 8 Highly Cited Papers in terms of Web of Science. His recent publications have received more than 9000 citations in Google Scholar. He has been in the Stanford’s Top 2% Scientists List from 2021 to 2025. He is an editorial board member of Advanced Powder Materials.
Abstract
Atom Probe Tomography (APT) has become indispensable for decoding nanoscale phenomena that govern the performance limits of advanced structural and functional materials. The newly launched Invizo 6000 “ADAPT” platform at National University of Singapore further elevates this capability, enabling unprecedented atomically-resolved 3D chemical mapping and analysis of various types of ‘defects’ with enhanced sensitivity, field of view, and operational robustness. In this seminar, I will demonstrate how Invizo-enabled defect analysis, including solute segregation, short range ordering or clustering, dislocation-associated chemistry, and nanoscale precipitation or inclusions, provides critical insights into process-structure-property relationships in metal additive manufacturing (AM). By integrating APT with CALPHAD, melt-pool modelling and correlative microscopy, we establish a pathway for rational alloy and process design. This talk highlights how APT-driven analysis of defects could facilitate the discovery and development of strong, tough yet defect-tolerant AM metals for extreme environment.
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