Z-FFR architecture design for massively parallel development

Zilong Yuan; Fanyu Qu; Wenbin Xiong; Pan Liu; Zhangchun Tang; Yan Shi; Hongwei Qiao; Gaoyang Liu; Chencheng Liu

doi:10.1117/12.2684660

19 October 2023 Z-FFR architecture design for massively parallel development

Zilong Yuan, Fanyu Qu, Wenbin Xiong, Pan Liu, Zhangchun Tang, Yan Shi, Hongwei Qiao, Gaoyang Liu, Chencheng Liu

Proceedings Volume 12709, Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023); 127095T (2023) https://doi.org/10.1117/12.2684660
Event: Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023), 2023, Nanjing, China

Abstract

Energy is a matter of economic security and national security. Research into fusion-fission hybrid reactors began in the 1950s with the original idea of using fusion neutrons to multiply fissionable nuclides (239 Pu, 233 U) from fissionable nuclides (238 U, 232 Th) and to amplify the fusion energy output in the process. The Z-FFR (Z-Pinch driven fusion fission hybrid reactor) contains two physical processes, fusion and fission, and is inherently complex in structure. The Z-FFR requires a larger number of disciplines and software platforms for its physical design. The original overall physical design was split between modules and confusing software choices, thus making it difficult to couple the Z-FFR in its overall design. The architecture design platform for multi-user massively parallel development conducts research on product integration and parallel development of architecture design software platforms to solve the integration of products from different software platforms and collaborative design of architecture design software. This will solve the coupling and linking between different physical processes and different design software in the design process of Z-FFR, and achieve the overall design optimal solution.

Citation Download Citation

Zilong Yuan, Fanyu Qu, Wenbin Xiong, Pan Liu, Zhangchun Tang, Yan Shi, Hongwei Qiao, Gaoyang Liu, and Chencheng Liu "Z-FFR architecture design for massively parallel development", Proc. SPIE 12709, Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023), 127095T (19 October 2023); https://doi.org/10.1117/12.2684660

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available