Name: Lu Cuiyuan Title: Lecturer

Email: lucuiyuan@ncu.edu.cn

Supervisor Type: Master’s supervisor

Main Courses: Intelligent Production and Operations Management, Engineering Economics and Society, Engineering Drawing

Academic Homepage:

https://www.researchgate.net/profile/Cuiyuan-Lu

Research Directions

Quality control and process optimization of additive manufactured alloys, microstructure control and strengthening-toughening of additive manufactured alloys, design and additive manufacturing of lattice/porous structure alloys

Education Background

2015.08 - 2022.04, University of Cincinnati, USA, Mechanical Engineering, Ph.D.

2012.08 - 2014.05, Texas A&M University, USA, Industrial Engineering, Master

Work Experience

2022.06 - Present, Nanchang University, School of Advanced Manufacturing, Lecturer

2017.01 - 2020.12, P&G-University of Cincinnati Simulation Center, USA, Research Assistant

2012.01 - 2012.08，Bobcat Company, USA, Manufacturing Engineer Co-op

Academic Appointments

Journal reviewer of multiple international journals:

Progress in Additive Manufacturing, Scientific Reports,

Multiscale and multidisciplinary modeling, experiments and design

Honor

Recipient of the P&G-University of Cincinnati Simulation Center Technology Scholarship (2019)

Major Achievements

Published 11 SCI papers (1 in CAS Tier 1 (top), 1 in CAS Tier 1) as first/corresponding author in the past five years.

Selected Publications:

[1] Meirong Yi, Ming Chen, Cuiyuan Lu*, Xiaobing Li, Yanghan Fu, and Yang Liu. “Forward and backward prediction of process-tensile property of IN718 fabricated by selective laser melting.” Rapid Prototyping Journal 31(6) (2025) :1325-1344. doi.org/10.1108/RPJ-10-2024-0435. (Corresponding author, IF: 3.4)

[2] Wenqin Wang, Wei Huang, Cuiyuan Lu*, De Wang, Shen Li, and Ting Wang. “Study on Microstructure and Mechanical Properties of AlCoCrFeNi High-Entropy Alloy Coating Prepared by Electroplating-Electron Beam Hybrid Cladding.” Journal of Materials Engineering and Performance (2024). doi.org/10.1007/s11665-024-10002-x. (Corresponding author, IF: 2.3)

[3] Lu, Cuiyuan, Xiaodong Jia, Jay Lee, and Jing Shi. “Knowledge Transfer Using Bayesian Learning for Predicting the Process-Property Relationship of Inconel Alloys Obtained by Laser Powder Bed Fusion.” Virtual and Physical Prototyping 17, no. 4 (2022): 787–805. doi:10.1080/17452759.2022.2068447. (First author, CAS Tier 1, IF: 10.6)

[4] Lu, Cuiyuan, and Jing Shi. "Simultaneous consideration of relative density, energy consumption, and build time for selective laser melting of Inconel 718: A multi-objective optimization study on process parameter selection." Journal of Cleaner Production 369 (2022): 133284. doi.org/10.1016/j.jclepro.2022.133284. (First author, CAS Tier 1 (top), IF: 10.0)

[5] Lu, Cuiyuan, and Jing Shi. "Relative density prediction of additively manufactured Inconel 718: A study on genetic algorithm optimized neural network models." Rapid Prototyping Journal 28, no. 8 (2022): 1425-1436. doi.org/10.1108/RPJ-09-2021-0249. (First author, IF: 3.4)

[6] Lu, Cuiyuan, and Jing Shi. "Relative density and surface roughness prediction for Inconel 718 by selective laser melting: central composite design and multi-objective optimization." The International Journal of Advanced Manufacturing Technology (2022): 1-19. doi.org/10.1007/s00170-021-08388-2. (First author, IF: 3.5)

[7] Lu, Cuiyuan, Jing Shi, and Varad Maitra. "Modelling and process optimization for relative density of Ti6Al4V produced by selective laser melting: a data-driven study." The International Journal of Advanced Manufacturing Technology 121, no. 3 (2022): 1973-1988. doi.org/10.1007/s00170-022-09453-0. (First author, IF: 3.5)