Past Webinars

November 30, 2022

Standard Issue Collection

November Webinar Recording: https://northwestern.zoom.us/rec/share/7NXvhOAT8sLSjXQ96cMfY6hlyBxIxf3HZ5QkG9Rh_8ymHcxBi6s4ise4ptWHznu9.xqvbJac_tx3R4vXX

1. Large strain flow curve identification for sheet metal, S. Coppieters*, H. Traphöner, F. Stiebert, T.Balan, T. Kuwabarad, A.E.Tekkaya: Associate Editor, Zhenshan Cui
   • • The paper presents an overview of the state-of-the-art methods to acquire the large strain flow curve of sheet metal.

   Methods to characterize the large strain flow curve of sheet metal.

   

2. Numerical modeling on formation of periodic chain-like pores in high power laser welding of thick steel plate, Yu Sun*, Liqun Li, Yu Hao, Sanbao Lin, Xinhua Tang, Fenggui Lu: Associate Editor, Hui-Ping Wang
   • • The paper presents an overview of the state-of-the-art methods to acquire the large strain flow curve of sheet metal.

   Graphical Abstract

3. Predicting melt pool depth and grain length using multiple signatures from in-situ single camera two-wavelength imaging pyrometry for laser powder bed fusion, Chaitanya Krishna Prasad Vallabh*, Soumya Sridar, Wei Xiong, Xiayun Zhao: Associate Editor, Jingjing Li
   • The objective of this work is to study the feasibility of using in-process, high-speed imaging pyrometry for evaluating the solidified MP properties “below” the surface, such as depth and microstructural properties.

October 26, 2022

Special Issue: “Additive Manufacturing – Process Qualification,” edited by Mohsen Seifi, Sara Bagherifard, Nima Shamsaei

1. A multi-tier layer-wise thermal management study for long-scale wire-arc additive manufacturing, Shekhar Srivastava, Rajiv Kumar Garg, Anish Sachdeva, Vishal S. Sharma
2. Evolution of carbide precipitates in Haynes® 282 superalloy processed by wire arc additive manufacturing, Hanlei Zhang, Yuankang Wang, Rafael Rodriguez De Vecchis, Wei Xiong

Standard Issue Collection

1. A study of the magnetohydrodynamic effect on keyhole dynamics and defect mitigation in laser beam welding, Xiangmeng Meng, Marcel Bachmann , Antoni Artinov, Michael Rethmeier – Edited by Hui-Ping Wang

October Webinar Recording: https://northwestern.zoom.us/rec/share/_b7BlHkkDgs6XD-35BMFktYlTU7OwSiAaHcwJr4p2jCANhFpgAudozF6n-70_Lbm.SkiJnx8wmsgr0EYA

September 28, 2022

Special Issue: “Additive Manufacturing – Process Qualification,” edited by Mohsen Seifi, Sara Bagherifard, Nima Shamsaei

1. Effect of chemically accelerated vibratory finishing on the corrosion behavior of Laser Powder Bed Fusion 316L stainless steel, Stephanie Prochaska, Owen Hildreth
2. Helical5AM: Five-axis parametrized helical additive manufacturing, Erkan Gunpinar, Arash Armanfar
3. Sensor fusion of pyrometry and acoustic measurements for localized keyhole pore identification in laser powder bed fusion, Joshua R. Tempelman, Adam J. Wachtor, Eric B. Flynn, Phillip J. Depond, Jean-Baptiste Forien, Gabe M. Guss, Nicholas P. Calta, Manyalibo J. Matthews

September Webinar Recording: https://northwestern.zoom.us/rec/share/GAMwBHnYCVOIihV2uOKfT_AUcwckMPYgXhq24y7ztWeq55dqe85bSGrHhGU5HMj6.vo4wwTrL06vuFpMi

August 31, 2022

Special Issue: “Artificial Intelligence in Advanced Manufacturing Processes (AiAMP),” edited by Markus Bambach, Robert Gao, Yongjie Jessica Zhang, Kunpeng Zhu

1. Beyond parabolic weld bead models: AI-based 3D reconstruction of weld beads under transient conditions in wire-arc additive manufacturing, Jan Petrik, Benjamin Sydow, Markus Bambach

Special Issue: “Additive Manufacturing – Process Qualification,” edited by Mohsen Seifi, Sara Bagherifard, Nima Shamsaei

1. Fatigue behavior and modeling of additively manufactured IN718: The effect of surface treatments and surface measurement techniques, Seungjong Lee, Shuai Shao, Douglas N. Wells, Miroslav Zetek, Miloslav Kepka, Nima Shamsaei
2. Large batch metrology on internal features of additively manufactured parts using X-ray computed tomography, Davis McGregor, Miles V. Bimrose, Sameh Tawfick, William P. King

August Webinar Recording: https://northwestern.zoom.us/rec/share/5D-4rXdjHAqeHzWrMLsES9pwvKeNewSbp_GmHLV0R81yMby-nxHNTPcIFkt6J-VS.0W_iqIXGhHJDpKLw

July 27, 2022

Special Issue: “Artificial Intelligence in Advanced Manufacturing Processes,” edited by Markus Bambach, Robert Gao, Yongjie Jessica Zhang, and Kunpeng Zhu.

1. A part-scale, feature-based surrogate model for residual stresses in the laser powder bed fusion process, Guoying Dong, Jian Cheng Wong, Lucas Lestandi, Jakub Mikula, Guglielmo Vastola, Mark Hyunpong Jhon, My Ha Dao, Umesh Kizhakkinan Clive Stanley Ford, David William Rosen

Special Issue: “Additive Manufacturing – Process Qualification,” edited by Mohsen Seifi, Sara Bagherifard and Nima Shamsaei

2. Improvement of Fatigue Performance of Laser Powder Bed Fusion Fabricated IN625 and IN718 Superalloys via Shot Peening, Mohamed Balbaa, Ali Ghasemi, Eskandar Fereiduni, Kassim Al-Rubaie, Mohamed Elbestawi
3. Local Prediction of Laser Powder Bed Fusion Porosity by Short-Wave Infrared Imaging Thermal Feature Porosity Probability Maps, Cody S. Lough, Tao Liu, Xin Wang, Ben Brown, Robert G. Landers, Douglas A. Bristow, James A. Drallmeier, Edward C. Kinzel
4. Individual and synergistic effects of thermal and mechanical surface post-treatments on wear and corrosion behavior of laser powder bed fusion AlSi10Mg, Erfan Maleki, Okan Unal, Michele Bandini, Mario Guagliano, Sara Bagherifard

July Webinar Recording:
https://northwestern.zoom.us/rec/share/lRdbny8-065GmReW44FXgzIvvWmay9VnbS67Yj-jDKawPv-UAcg-LLQ2S-Hum1uJ.u-Ji8PaNdM1KMzd4

June 29, 2022

Special Issue: Artificial Intelligence in Advanced Manufacturing Processes, edited by Markus Bambach, Robert Gao, Yongjie Jessica Zhang, and Kunpeng Zhu.

1. A Bayesian learning framework for fast prediction and uncertainty quantification of additively manufactured multi-material components, Jee Yun Kim, David Garcia, Yunhui Zhu, David M. Higdon, Hang Z. Yu
2. Deep DIC: Deep learning-based digital image correlation for end-to-end displacement and strain measurement, Ru Yang, Yang Li, Danielle Zeng, Ping Guo

Special Issue: “Alloy Design and Adaptation for Metal Additive Manufacturing,” edited by Jingji Li, Yan Hua and Iain Todd.

3. Review: Alloy design and adaptation for additive manufacture, A.T.Clare, R.S.Mishra, M.Merklein, H.Tan, I.Todd, L.Chechik, J.Li, M.Bambach

June Webinar Recording: https://northwestern.zoom.us/rec/share/A9G8Ef6UPafFNNwGwh45_zj3er42FSrarNTJ41T5tb8NeeFEgQz45eQsNADxbMRZ.mk59UCvZL92Bpy6H

May 25, 2022

Special Issue: Artificial Intelligence in Advanced Manufacturing Processes, edited by Markus Bambach, Robert Gao, Yongjie Jessica Zhang, and Kunpeng Zhu.

1. Tool Path Planning of Consecutive Free-form Sheet Metal Stamping with Deep Learning, Authors: Shiming Liu, Yifan Xia, Yuehan Liu, Zhusheng Shi, Hui Yu, Zhiqiang Li, Jianguo Lin
2. Autonomous and data-efficient optimization of turning processes using expert knowledge and transfer learning, Authors: Markus Maier, Hannes Kunstmann, Ruben Zwicker, Alisa Rupenyan, Konrad Wegener
3. Full-field temperature recovery during water quenching processes via physics-informed machine learning, Authors: Ze Zhao, Michael Stuebner, Jim Lua, Nam Phan, Jinhui Yan

May Webinar Recording: https://northwestern.zoom.us/rec/share/6N2n-U8Feci8fliH2rZj6avDIQocfn-xU49vvv0QQ6Ui9kwPHB2uxPYy97aRrYdE.fJVBcGKzOGO5auRh

April 26, 2022

Special Issue: Artificial Intelligence in Advanced Manufacturing Processes, edited by Markus Bambach, Robert Gao, Yongjie Jessica Zhang, and Kunpeng Zhu.

1. Towards a generic physics-based machine learning model for geometry invariant thermal history prediction in additive manufacturing – Presenter: Kari Ness; Moderator: Robert Gao
2. Motion Feature Based Melt Pool Monitoring For Selective Laser Melting Process – Presenter: Kunpeng Zhu; Moderator: Robert Gao
3. Deep Transfer Learning of Additive Manufacturing Mechanisms Across Materials in Metal-Based Laser Powder Bed Fusion Process – Presenter: Vigneashwara Solai Raja Pandiyan; Moderator: Markus Bambach
4. Hybrid IGA-FEA of Fiber Reinforced Thermoplastic Composites for Forward Design of AI-Enabled 4D Printing – Presenter: Jessica Zhang; Moderator: Kunpeng Zhu

April Webinar Recording: https://northwestern.zoom.us/rec/share/rjI8wWmzGbXkbeuToT_3fvr7de5l_bjP8xxJIwLiTDe63G15vPNpKGd931Aahy-H.xWK99AkWaZ_Wmn54

March 30, 2022

Special Issue: Artificial Intelligence in Advanced Manufacturing Processes, edited by Markus Bambach, Robert Gao, Yongjie Jessica Zhang, and Kunpeng Zhu.

1. Mechanistic artificial intelligence (mechanistic-AI) for modeling, design, and control of advanced manufacturing processes: Current state and perspectives – Dr. Mojtaba Mozaffar, Moderator: Jian Cao
2. Deep learning-based monitoring of surface residual stress and efficient sensing of AE for laser shock peening – Prof. Zhifen Zhang, Moderator: Jessica Zhang
3. Towards High-Performance Deep Learning Models in Tool Wear Classification with Generative Adversarial Networks – Mr. Dirk Molitor and Mr. Ruben Hetfleisch, Moderator: Robert Gao
4. Prediction of forming temperature in electrically-assisted double-sided incremental forming using a neural network – Ms. Zilin Jiang, Moderator: Robert Gao

March Webinar Recording: https://northwestern.zoom.us/rec/share/6Q9nRl0Tvedb_dmKV0OQn-8KSeMXVQpuOrLzdEp3PqdvAtKJShanUEtWqH2ugaZg.-NAWUMfoA-Phf6AX