Dr. Yunlong Tang
Dr. Yunlong Tang
Senior Lecturer, Mechanical and Aerospace Engineering
Senior Lecturer, Materials Science and Engineering
Yunlong Tang joined the Faculty of Engineering at Monash University in Feb 2020. Currently, he is a lecturer jointly appointed by the Department of Mechanical and Aerospace Engineering and the Department of Materials Science and Engineering. Before joined Monash, Yunlong worked as a Research Fellow in the Digital Manufacturing and Design Center at the Singapore University of Technology and Design (SUTD). He obtained his Ph.D. degree from McGill University Canada.
In July 2023, he was appointed Assistant Director of Monash Centre for Additive Manufacturing (MCAM) researching digital additive manufacturing, encompassing artificial intelligence and digital twin technologies within MCAM.
Qualifications
- Bachelor of Engineering, Harbin Insitute of Technology, 2010
- Master of Engineering, Beihang University (Beijing University of Astronautics and Aeronautics)), 2013
- Ph.D., McGill University, 2018
Expertise
- Design for additive manufacturing
Yunlong’s major research is design for additive manufacturing. He is a leading developer for an opensource design for AM tool called intralattice. This tool can help designers to generate a wide range of lattice structures to further improve the functional performance of the designed parts fabricated by additive manufacturing processes. The methods and tools developed by Yunlong have been successfully applied in the wide range of industrial fields, such as bio-medical, automotive, sports equipment as well as aerospace.
- Smart Manufacturing and Digital twin
Digital twin is a digital representation that reflects the current asset condition and includes relevant historical data about the asset. In this area, Yunlong’s research focuses on building a service-oriented digital model for manufacturing operation and process optimization. Also, he is also focusing on the integration of digital design and digital manufacturing by using advanced digital twin enabled tools.
- Computational Design / AI or Data-driven design
Computational design is the application of computational/AI strategies to the design process. By using the computational algorithms or advanced AI technologies, computational design tool can signficiantly shorten the design time and improve the functional performance of designed products. Yunlong is currently working on developing cutting edge computational design algorithms that can optimize both product’s geometry, materials as well as process parameters. The developed approach can be applied for the applications in aerospace, automotive and biomedical area. The developed tool can also support the mass customization of additive manufactured personalized products such as bio-implants and customized porous shoe sole.
- Digital hybrid materials design and fabrication
A digital hybrid material is a combination of two or more materials in a digitally controlled manner. Comparing to conventional hybrid materials, we can accruately control the properties of this type of materials by digitally tuning its micro or mesocale structures. Yunlong’s research group is focusing on modeling of this type of materials and build a CAD tool that can support the design of digital hybrid materials. Meanwhile, he is also actively working with his collaborators to develop a new digital manufacturing process for digital hybrid materials. Digital hybrid materials can not only be used as structured materials for load bearing but can also be used as functional materials for sensing and actuations.
- New Hybrid Manufacturing Process Development for Customised Products
Developing and improving hybrid manufacturing processes for customised products, including customised gripper handles, reaction containers, special moulds, and structural components for the aerospace and automotive industries.
Teaching Commitments
- MEC5897 - Lean Manufacturing
- MTE5887/MTE6887 - Additive manufacturing of polymeric and functional materials
- MTE4571 - Materials engineering design and practice