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Papers citing Invited review: Machine learning for materials developments in metals additive manufacturing

  1. State-of-the-Art Review of Machine Learning Applications in Additive Manufacturing; from Design to Manufacturing and Property Control

    Archives of Computational Methods in Engineering · 2022-07-22

    Garshasp Keyvan Sarkon, Babak Safaei, Mohammad Saleh Kenevisi, Samaneh Arman, Qasim Zeeshan

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  2. Incorporation of machine learning in additive manufacturing: a review

    The International Journal of Advanced Manufacturing Technology · 2022-08-20

    Ali Raza, Kashif Mairaj Deen, Russlan Jaafreh, Kotiba Hamad, Ali Haider, Waseem Haider

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  3. A universal predictor-based machine learning model for optimal process maps in laser powder bed fusion process

    Journal of Intelligent Manufacturing · 2022-08-23

    Zhaochen Gu, Shashank Sharma, Daniel A. Riley, Mangesh V. Pantawane, Sameehan S. Joshi, Song Fu, Narendra B. Dahotre

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  4. Multifidelity Physics-Constrained Neural Networks With Minimax Architecture

    Journal of Computing and Information Science in Engineering · 2022-08-23

    Dehao Liu, Pranav Pusarla, Yan Wang

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  5. Effect of microstructural heterogeneity on fatigue strength predicted by reinforcement machine learning

    Fatigue & Fracture of Engineering Materials & Structures · 2022-08-25

    Mustafa Awd, Sebastian Münstermann, Frank Walther

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  6. A review of machine learning techniques for process and performance optimization in laser beam powder bed fusion additive manufacturing

    Journal of Intelligent Manufacturing · 2022-09-15

    Jia Peter Liu, Jiafeng Ye, Daniel Silva Izquierdo, Alexander Vinel, Nima Shamsaei, Shuai Shao

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  7. Compressive behavior of Co-Cr-Mo radially graded porous structures under as-built and heat-treated conditions

    Frattura ed Integrità Strutturale · 2022-09-22

    Francesco Cantaboni, Paola Serena Ginestra, Marialaura Tocci, Andrea Avanzini, Elisabetta Ceretti, Annalisa Pola

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  8. Unified fatigue life modelling and uncertainty estimation of Ni-based superalloy family with a supervised machine learning approach

    Engineering Fracture Mechanics · 2022-09-24

    Li Tan, Xiaofa Yang, Duoqi Shi, W.Q. Hao, Y.S. Fan

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  9. A systematic review on data of additive manufacturing for machine learning applications: the data quality, type, preprocessing, and management

    Journal of Intelligent Manufacturing · 2022-09-25

    Ying Zhang, Mutahar Safdar, Jiarui Xie, Jinghao Li, Manuel Sage, Yaoyao Fiona Zhao

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  10. Systematic deep transfer learning method based on a small image dataset for spaghetti-shape defect monitoring of fused deposition modeling

    Journal of Manufacturing Systems · 2022-10-01

    Hyungjung Kim, Hyunsu Lee, Sung‐Hoon Ahn

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  11. An overview of modern metal additive manufacturing technology

    Journal of Manufacturing Processes · 2022-11-04

    Mark Armstrong, Hamid Ahmad Mehrabi, Nida Naveed

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  12. Machine learning for intelligent welding and manufacturing systems: research progress and perspective review

    The International Journal of Advanced Manufacturing Technology · 2022-11-19

    Sachin Kumar, Vidit Gaur, Chuansong Wu

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  13. Recent developments in the application of machine-learning towards accelerated predictive multiscale design and additive manufacturing

    Virtual and Physical Prototyping · 2022-11-20

    Sandeep Suresh Babu, Abdel‐Hamid I. Mourad, Khalifa Hamad Harib, Sanjairaj Vijayavenkataraman

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  14. Multiaxial fatigue prediction and uncertainty quantification based on back propagation neural network and Gaussian process regression

    International Journal of Fatigue · 2022-11-22

    Jingjing Gao, Jun Wang, Zili Xu, Cunjun Wang, Yan Song

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  15. Explainable machine learning for understanding and predicting geometry and defect types in Fe-Ni alloys fabricated by laser metal deposition additive manufacturing

    Journal of Materials Research and Technology · 2022-11-24

    Jeong‐Ah Lee, Man Jae SaGong, Jaimyun Jung, Eun Seong Kim, Hyoung Seop Kim

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  16. Anomaly detection in laser powder bed fusion using machine learning: A review

    Results in Engineering · 2022-11-28

    Tayyaba Sahar, Muhammad Rauf, Ahmar Murtaza, Lehar Asip Khan, Hasan Ayub, Syed Muslim Jameel, Inam Ul Ahad

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  17. Reduction of Material Usage in 3D Printable Structures Using Topology Optimization Accelerated with U-Net Convolutional Neural Network

    Eurasian Chemico-Technological Journal · 2022-12-12

    Jalal Rasulzade, Yelaman Maksum, Makpal Nogaibayeva, Samir Rustamov, B. Akhmetov

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  18. Review of transfer learning in modeling additive manufacturing processes

    Additive manufacturing · 2022-12-12

    Yifan Tang, Mostafa Rahmani Dehaghani, G. Gary Wang

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  19. Angle and direction effect on the performance of manual music box with PLA-base manufacturing using 3D printing

    AIP conference proceedings · 2023-01-01

    Naufal Achmad Salman Alfarisi, Basuki Rachmat, Muhammad Akhsin Muflikhun

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  20. Computational and Data-Driven Materials Engineering: Multimodal Materials Datasets, Integration Frameworks, and Discovery Potential

    Journal of Computational and Data-Driven Materials Engineering · 2023-01-01

    Maria Gonzalez, Javier Ruiz, Lucia Torres

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  21. FE² Computations With Deep Neural Networks: Algorithmic Structure, Data Generation, and Implementation

    SSRN Electronic Journal · 2023-01-01

    Hamidreza Eivazi, Jendrik-Alexander Tröger, Stefan Wittek, Stefan Hartmann, Andreas Rausch

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  22. Feature Engineering in Additive Manufacturing

    SpringerBriefs in applied sciences and technology · 2023-01-01

    Mutahar Safdar, Guy Lamouche, Padma Polash Paul, Gentry Wood, Yaoyao Fiona Zhao

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  23. Introduction

    SpringerBriefs in applied sciences and technology · 2023-01-01

    Mutahar Safdar, Guy Lamouche, Padma Polash Paul, Gentry Wood, Yaoyao Fiona Zhao

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  24. Metal AM process-structure-property relational linkages using Gaussian process surrogates

    Additive manufacturing · 2023-01-01

    Robert N. Saunders, Kirubel Teferra, Alaa H. Elwany, John G. Michopoulos, Dimitris C. Lagoudas

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  25. Rapid alloying in additive manufacturing using integrated computational materials engineering

    Elsevier eBooks · 2023-01-01

    Farzad Foadian, Robert Kremer, Somayeh Khani

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  26. Self-Supervised Representation Learning of Microstructures from Electron Microscopy for Property Prediction

    Journal of Artificial Intelligence for Materials Science · 2023-01-01

    Maria Hernandez, Carlos Vega

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  27. Stability in Reinforcement Learning Process Control for Additive Manufacturing

    IFAC-PapersOnLine · 2023-01-01

    Stylianos Vagenas, George Panoutsos

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  28. In situ growth of carbon nanotubes on NiTi powder for printing high-performance NiTi matrix composite

    Powder Technology · 2023-01-04

    Daicheng Ye, Shaofu Li, X.M. Gan, R.D.K. Misra, S.X. Wang, Zengqian Liu, Chaoquan Hu, Yafeng Yang

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  29. Additively manufactured materials and structures: A state-of-the-art review on their mechanical characteristics and energy absorption

    International Journal of Mechanical Sciences · 2023-01-05

    Yaozhong Wu, Jianguang Fang, Chi Wu, Cunyi Li, Guangyong Sun, Qing Li

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  30. Development of macro-defect-free PBF-EB-processed Ti–6Al–4V alloys with superior plasticity using PREP-synthesized powder and machine learning-assisted process optimization

    Materials Science and Engineering A · 2023-01-05

    Yunwei Gui, Kenta Aoyagi, Akihiko Chiba

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  31. Research and application of artificial intelligence techniques for wire arc additive manufacturing: a state-of-the-art review

    Robotics and Computer-Integrated Manufacturing · 2023-01-12

    Fengyang He, Lei Yuan, Haochen Mu, Montserrat Ros, Donghong Ding, Zengxi Stephen Pan, Huijun Li

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  32. Analysis and evaluation of machine learning applications in materials design and discovery

    Materials Today Communications · 2023-01-25

    Mahsa Golmohammadi, Masoud Aryanpour

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  33. Perspective: Machine learning in experimental solid mechanics

    Journal of the Mechanics and Physics of Solids · 2023-01-30

    Neal R. Brodnik, Caelin Muir, Nikhil Tulshibagwale, Jeff Rossin, McLean P. Echlin, Craig M. Hamel, Sharlotte Kramer, Tresa M. Pollock, James Doug Kiser, Christian W. Smith, Samantha Hayes Daly

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  34. A survey of machine learning in additive manufacturing technologies

    International Journal of Computer Integrated Manufacturing · 2023-02-14

    Jingchao Jiang

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  35. Multiphysics multi-scale computational framework for linking process–structure–property relationships in metal additive manufacturing: a critical review

    International Materials Reviews · 2023-02-16

    Shashank Sharma, Sameehan S. Joshi, Mangesh V. Pantawane, Madhavan Radhakrishnan, Sangram Mazumder, Narendra B. Dahotre

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  36. Predictions of Additive Manufacturing Process Parameters and Molten Pool Dimensions with a Physics-Informed Deep Learning Model

    Engineering · 2023-02-16

    Mingzhi Zhao, Huiliang Wei, Yiming Mao, Changdong Zhang, Tingting Liu, Wenhe Liao

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  37. Machine Learning Applications for 3D-Printed Polymers and Their Composites

    Advances in chemical and materials engineering book series · 2023-02-17

    Mamta B Savadatti, Kiran Kumar N., K. G. Jaya Christiyan, Amithkumar Gajakosh, Mukesh Thakur, R. Suresh Kumar, Richard Lincoln Paulraj, H. K. Madhusudhana

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  38. Evaluating the Predictability of Surface Roughness of Ti–6Al–4V Alloy from Selective Laser Melting

    Advanced Engineering Materials · 2023-02-22

    Varad Maitra, Jing Shi

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  39. Review of Intelligence for Additive and Subtractive Manufacturing: Current Status and Future Prospects

    Micromachines · 2023-02-22

    M. Rahman, Tanveer Saleh, Muhammad Pervej Jahan, Conor McGarry, Akshay Chaudhari, Rui Huang, Mohammed Tauhiduzzaman, Afzaal Ahmed, Abdullah Al Mahmud, Md. Shahnewaz Bhuiyan, Md Faysal Khan, Md Shafiul Alam, Md Shihab Shakur

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  40. Towards the next generation of machine learning models in additive manufacturing: A review of process dependent material evolution

    Progress in Materials Science · 2023-02-24

    Mohammad Parsazadeh, Shashank Sharma, Narendra B. Dahotre

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  41. Using deep learning for the prediction of mixing patterns in two component-colored solutions as a proxy to dispersion in nanocomposite coatings

    Journal of Dispersion Science and Technology · 2023-02-28

    Prapti Kakkar, Shivanshu Mishra, Anjali Sharma, Mohammad Babar, Rupali Verma, Gaurav Verma

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  42. Subdivisional modelling method for matched metal additive manufacturing and its implementation on novel negative Poisson's ratio lattice structures

    Additive manufacturing · 2023-03-24

    Wei Xiong, Ruiqi Pan, Chunze Yan, Meng He, Qiaoyu Chen, Simeng Li, Xiaoli Chen, Liang Hao, Yan Li

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  43. Machine learning-based fatigue life prediction of metal materials: Perspectives of physics-informed and data-driven hybrid methods

    Engineering Fracture Mechanics · 2023-03-29

    Haijie Wang, Bo Li, Jian‐Guo Gong, Fu‐Zhen Xuan

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  44. A Conceptual Framework Towards the Realization of In situ Monitoring and Control of End-to-End Additive Manufacturing Process

    Micro and Nanosystems · 2023-04-11

    Sachin Karadgi, Prabhakar M. Bhovi, Arun Y. Patil, R. Keshavamurthy, Karodi Venkateswarlu, Terence G. Langdon

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  45. A Hermite Surface Triangle Modeling Method Considering High-Precision Fitting of 3D Printing Models

    Axioms · 2023-04-11

    Ruichao Lian, Shikai Jing, Yang Chen, Jiangxin Fan

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  46. Holistic computational design within additive manufacturing through topology optimization combined with multiphysics multi-scale materials and process modelling

    Progress in Materials Science · 2023-04-22

    Mohamad Bayat, Olga Zinovieva, Federico Ferrari, Can Ayas, Matthijs Langelaar, Jon Spangenberg, Roozbeh Salajeghe, Konstantinos Poulios, Sankhya Mohanty, Ole Sigmund, Jesper Henri Hattel

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  47. Efficient prediction of thermal history in wire and arc additive manufacturing combining machine learning and numerical simulation

    The International Journal of Advanced Manufacturing Technology · 2023-04-24

    Van Thao Le, Manh Cuong Bui, Thinh Quy Duc Pham, Hoang Son Tran, Xuan Van Tran

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  48. Challenges and Opportunities for Machine Learning in Multiscale Computational Modeling

    Journal of Computing and Information Science in Engineering · 2023-05-05

    Phong C. H. Nguyen, Joseph B. Choi, Holavanahalli S. Udaykumar, Stephen Baek

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  49. A comparative study of machine learning algorithms in the prediction of bead geometry in wire-arc additive manufacturing

    International Journal on Interactive Design and Manufacturing (IJIDeM) · 2023-05-14

    Mukesh Chandra, K. E. K. Vimal, Sonu Rajak

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  50. A review of artificial intelligence applications in manufacturing operations

    Journal of Advanced Manufacturing and Processing · 2023-05-16

    Siby Jose Plathottam, Arin Rzonca, Rishi Lakhnori, Chukwunwike O. Iloeje

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