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81.
《中国航空学报》2021,34(2):104-123
Plastic forming is one of enabling and fundamental technologies in advanced manufacturing chains. Design optimization is a critical way to improve the performance of the forming system, exploit the advantages of high productivity, high product quality, low production cost and short time to market and develop precise, accurate, green, and intelligent (smart) plastic forming technology. However, plastic forming is quite complicated, relating to multi-physics field coupling, multi-factor influence, multi-defect constraint, and triple nonlinear, etc., and the design optimization for plastic forming involves multi-objective, multi-parameter, multi-constraint, nonlinear, high-dimensionality, non-continuity, time-varying, and uncertainty, etc. Therefore, how to achieve accurate and efficient design optimization of products, equipment, tools/dies, and processing as well as materials characterization has always been the research frontier and focus in the field of engineering and manufacturing. In recent years, with the rapid development of computing science, data science and internet of things (IoT), the theories and technologies of design optimization have attracted more and more attention, and developed rapidly in forming process. Accordingly, this paper first introduced the framework of design optimization for plastic forming. Then, focusing on the key problems of design optimization, such as numerical model and optimization algorithm, this paper summarized the research progress on the development and application of the theories and technologies about design optimization in forming process, including deterministic and uncertain optimization. Moreover, the applicability of various modeling methods and optimization algorithms was elaborated in solving the design optimization problems of plastic forming. Finally, considering the development trends of forming technology, this paper discusses some challenges of design optimization that may need to be solved and faced in forming process. 相似文献
82.
钛合金锻造模拟成形技术发展现状 总被引:1,自引:0,他引:1
侯会喜 《长沙航空职业技术学院学报》2008,8(1):55-58
高温变形过程导致金属微观组织发生一系列演变,并决定了产品的力学性能。根据预定的工艺参数,模拟产品的热成形过程并预报其微观组织和力学性能,是钛合金锻造技术的未来发展趋势。 相似文献
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85.
The unsatisfied surface quality seriously impedes the wide application of incremental sheet forming(ISF) in industrial field. As a novel approach, the interpolator method is a promising strategy to enhance the surface quality in ISF. However, the mechanism for the improvement of surface quality and the influence of interpolator properties on surface roughness are not well understood. In this paper, the influences of process variables(i.e. tool diameter, step size and thickness of interpolators) ... 相似文献
86.
为实现钛合金超塑成形/扩散连接组合工艺零件精准制造,进行止焊剂涂敷工艺优化研究。传统止焊剂手工涂敷工艺涂敷质量差、精准度低,成形后扩散连接过渡区超标,零件表面阶差、缩沟问题经常出现。为实现止焊剂精准、快速涂敷,提出了对钛合金超塑成形/扩散连接成形前板料自动敷膜、激光刻形及止焊剂自动涂敷的新工艺思路。通过自动化手段,形成了一个较为优化的止焊剂涂敷工艺手段,止焊剂涂层厚度实现0.1mm精准可控,同时通过试验验证,以5x10-2/s~5 x10-4/s应变速率成功成形出满足要求的零件。 相似文献
87.
Advances and challenges on springback control for creep age forming of aluminum alloy 总被引:1,自引:1,他引:0
Creep age forming(CAF) is an advanced forming technology that combines creep deformation and age hardening processes. When compared with the conventional forming technologies including roll bending and shot-peen forming, CAF has many advantages of low residual stress,excellent dimensional stability, good service performance and short production cycle. It is an optimal technique for precise manufacturing for shape and properties of large-scale complicated thinwalled components of light-weight and... 相似文献
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板料异向性对拉深成形的影响 总被引:2,自引:0,他引:2
推导出了异向性板料在两向应力状态下的塑性方程,分析了厚向异向性和面内异向性对拉深成形的影响,提出了利用异向性现象来提高拉深工艺水平的途径。 相似文献
90.
为了借助计算机分析和模拟复杂的超塑成形过程,本文提出了一个用于测定超塑性金属材料参数m和K的等胀形高度法,并在文中推导了与该法相关的公式.通过应用在模拟薄板超塑胀形过程中的计算实例,证明该法的 精度是令人满意的. 相似文献