信息工程学院

1. Structural   Health Monitoring of Mechanical Power

Transmission   System with Customised 3D Printed Sensor

National Research Foundation (Singapore)

2016.07-2019.12

S$1,360,000

2

已结项

2. Metal 3D   Printing in

Aerospace   Industry

Korea Institute of Materials Science

2018.11-2020.10

S$96,000

2

已结项

3. Health   Monitoring and Predictive Maintenance for UAV through Data Analytics

ST Aerospace-NTU Corp Lab (Singapore)

2018.01-2020.01

S$585,000

2

已结项

4. Development of direct

printing material and process   on

3D structure for wearable

devices

Samsung Electronics

2018.05-2019.01

S$92,000

2

已结项

5. A design and manufacturing

synthesis framework for

Production Digital Twins

Hewlett-Packard (HP)-NTU Corp Lab

2020.01-2022.12

S$440,000

3

未结项

6. 3D-Printing Technology for

Flexible Rechargeable   Batteries

NAMIC

2020.09-2021.03

S$36,960

2

已结项

7. Development of Method for

3D Printing of Electronic

Sensors  

ST Aerospace-NTU Joint R&D (Singapore)

2016.01-2017.12

S$252,000

2

已结项

1. Conductivity and   Flexibility Enhancement of

Aerosol Jet Printed Sensors   by using Silver

Nanoparticles Ink with Carbon   Nanotubes

新加坡发明专利

（Under Review）

20121年05月

1

1. A hybrid   multi-objective optimization of aerosol jet printing process via response   surface methodology

2020.05

Additive   Manufacturing.

2020, 33:   101096.

SCI

1

2. Reviews on   machine learning approaches for process optimization in non-contact direct   ink writing

2021.05

ACS Applied Materials & Interfaces. 2021

SCI

1

3. Hybrid   Machine Learning Method to Determine the Optimal Operating Process Window in   Aerosol Jet 3D Printing

2019.11

ACS Applied Materials & Interfaces. 2019, 11(19): 17994-18003.

SCI

1

4. A   multi-objective optimization framework for aerosol jet customized line width   printing via small data set and prediction uncertainty

2020.11

Journal of Materials Processing Technology. 2020, 285: 116779.

SCI

1

5. 3D Printed   Electronics of Non-contact Ink Writing Techniques: Status and Promise

2020.07

International Journal of Precision Engineering and Manufacturing-Green   Technology. 2020, 7(2): 511-524.

SCI

1

6. A knowledge   transfer framework to support rapid process modeling in aerosol jet printing

2021.04

Advanced Engineering Informatics. 2021, 48: 101264.

SCI

1

7. Rapid   process modeling of the Aerosol Jet printing based on Gaussian process   regression with Latin hypercube sampling

2019.09

International Journal of Precision Engineering and Manufacturing. 2020,   21(1): 127-136.

SCI

1

8. A hybrid   machine learning approach for the quality optimization of a 3D printed sensor

2018.12

2018 International Conference on Intelligent Rail Transportation   (ICIRT). IEEE, 2018: 1-5.

EI

1

9. 3D Printing of Multilayered and

Multimaterial Electronics: A Review

2021.07

Advanced Electronic Materials. 2021: 2100445.

SCI

2

10. A   Post-Treatment Method to Enhance the Property of Aerosol Jet Printed Electric   Circuit on 3D Printed Substrate

2020.10

Materials. 2020, 13(24): 5602.

SCI

2