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Research progress of process and structures optimization for 3D printed continuous fiber-reinforced polymers
YE Hongling, DONG Yongjia, MAO Pengqi, XIAO Yang, XIE Jialin
, Available online, doi:10.6052/1000-0992-23-048
Abstract(204) HTML(27) PDF(66)
Abstract:
Continuous fiber-reinforced polymers (CFRP) has been broadly applied in the aerospace engineering due to its excellent specific strength, specific stiffness, designability and lightweight feature. The development of 3D printing has changed the manufacturing process of CFRP structures, which makes the free form of complex structures possible and provides more design space for advanced structural materials. In order to give full play to the performance advantages of CFRP and the flexibility of 3D printing process, and achieve innovative structural design and performance improvement, researchers explored the solutions of design and manufacturing integration for 3D printing CFRP from the aspects of material performance and structural design, respectively. In this paper, the development of properties analysis, process improvement and structure optimization of CFRP is reviewed systematically. Various multi-scale optimization methods of CFRP are summarized and illustrated, the development trend of real-time, functional and intelligent structural design method of advanced materials in the future is discussed and prospected.
Research on structure topology optimization design empowered by deep learning method
CHEN Xiaoqian, ZHANG Zeyu, LI Yu, YAO Wen, ZHOU Weien
, Available online, doi:10.6052/1000-0992-23-052
Abstract(384) HTML(189) PDF(162)
Abstract:
This article comprehensively discusses the relevant research progress in the field of structural topology optimization and the cross-integration development of deep learning technology in recent years. Focusing on the core methods and key modules of structural topology optimization design, two major types of empowerment methods are systematically sorted out from the perspective of deep learning empowerment. The study points out that the global surrogate model construction method for structural optimization design based on deep learning technology, as a direct mapping structural design method, has been widely studied because of its simple and typical design ideas. However, the global surrogate model has limitations in computation and generalization. The limitations and deficiencies in performance are also particularly obvious. The structural optimization design method with local sub-link acceleration and replacement integrated with deep learning technology is a more flexible and diverse form of local empowerment, with good universality and unique advantages. The article looks forward to the future development of intelligently empowered structural optimization. Further research work would focus on the organic combination of deep learning and structural design, as well as the co-driven design paradigm of data and knowledge.
Research progress of fatigue crack propagation method based on finite element technology
SU Yukun, MA Tao, ZHAO Xiaoxin, ZHANG Guangliang, ZHU Jialei, ZHANG Peng
, Available online, doi:10.6052/1000-0992-23-049
Abstract(336) HTML(63) PDF(106)
Abstract:
Fatigue cracks are one of the important factors causing fracture and failure of engineering structures. At present, the commercial software for fatigue crack propagation finite element simulation includes ANSYS, ABAQUS, FRANC3D, ZENCRACK, etc., which provide strong support for the study of fatigue crack propagation process. The current finite element simulation methods for fatigue crack propagation are reviewed in this paper. The definition of fatigue crack and the necessity of studying fatigue crack propagation behavior are clarified. Three finite element methods for simulating fatigue crack propagation are introduced: Extended Finite Element (XFEM), Cohesive Zone Model (CZM) and Virtual Crack Closure (VCCT). The basic theories and core ideas of the three methods were summarized, and the application as well as development of the three methods were classified and summarized. Finally, the three finite element methods are analyzed, the advantages and limitations of each method are pointed out, and suggestions are given for the future improvement of the finite element simulation technology for fatigue crack propagation.

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