TY - GEN
T1 - Tool path planning for directional freezing based 3D nano printing process
AU - Zhao, Guanglei
AU - Zhou, Chi
AU - Lin, Dong
N1 - Publisher Copyright: © Copyright 2017 ASME.
PY - 2017
Y1 - 2017
N2 - As an emerging and effective nano-manufacturing technology, the directional freezing based 3D printing can form 3-Dimensional (3D) nano-structures with complex shapes and superior functionalities, and thus has received ever increasing publicity in the past years. One of the key challenges in this process is the proper heat management, since the heat induced melting and solidification process significantly affects the functional integrity and structural integrity of the 3D printed nano-structures. To address this challenge, this paper proposes a novel path planning modeling and optimization framework to intelligently control the internal and external heat transfer process and ultimately optimize both the macro- and microstructure of the printed part. Specifically, a heuristic tool path planning model was formulated and optimized based on thermal analysis process. The simulation results demonstrate that the tool path planning highly affects the spatial and temporal temperature distribution of the being printed part and the optimized tool path planning can effectively improve the uniformity of the temperature distribution which will consequently enhance the performance of the fabricated nanostructures.
AB - As an emerging and effective nano-manufacturing technology, the directional freezing based 3D printing can form 3-Dimensional (3D) nano-structures with complex shapes and superior functionalities, and thus has received ever increasing publicity in the past years. One of the key challenges in this process is the proper heat management, since the heat induced melting and solidification process significantly affects the functional integrity and structural integrity of the 3D printed nano-structures. To address this challenge, this paper proposes a novel path planning modeling and optimization framework to intelligently control the internal and external heat transfer process and ultimately optimize both the macro- and microstructure of the printed part. Specifically, a heuristic tool path planning model was formulated and optimized based on thermal analysis process. The simulation results demonstrate that the tool path planning highly affects the spatial and temporal temperature distribution of the being printed part and the optimized tool path planning can effectively improve the uniformity of the temperature distribution which will consequently enhance the performance of the fabricated nanostructures.
KW - 3D Nanomaterial
KW - 3D Printing
KW - Directional freezing printing
KW - Thermal analysis
KW - Toolpath planning
UR - https://www.scopus.com/pages/publications/85027680039
U2 - 10.1115/MSEC2017-2684
DO - 10.1115/MSEC2017-2684
M3 - Conference contribution
T3 - ASME 2017 12th International Manufacturing Science and Engineering Conference, MSEC 2017 collocated with the JSME/ASME 2017 6th International Conference on Materials and Processing
BT - Additive Manufacturing; Materials
PB - American Society of Mechanical Engineers
T2 - ASME 2017 12th International Manufacturing Science and Engineering Conference, MSEC 2017 collocated with the JSME/ASME 2017 6th International Conference on Materials and Processing
Y2 - 4 June 2017 through 8 June 2017
ER -