Structural optimization and experimental study on the Ti-alloy Kagome structure formed by the superplastic forming/diffusion bonding process

材料科学 克里金 抗压强度 合金 格子(音乐) 压缩(物理) 超塑性 结构工程 复合材料 计算机科学 物理 声学 工程类 机器学习
作者
Dipeng Wu,Yong Wu,Minghe Chen,Ronglei Fan,Keming Yan,Wenchao Xiao
出处
期刊:Journal of Sandwich Structures and Materials [SAGE Publishing]
卷期号:26 (3): 303-316 被引量:4
标识
DOI:10.1177/10996362231203208
摘要

The structural optimization of Ti-alloy lattice structure formed by the superplastic forming/diffusion bonding (SPF/DB) process is a high-nonlinear problem with multiple design variables. The problem is solved in this research by introducing the modified Kriging response surface model based on structural mechanics analysis and the genetic algorithm into the optimization design of the Kagome structure. The comprehensive influence of the structural parameters on the shape and compressive strength of the structure is analyzed, and the optimized structural parameters are obtained. The SPF/DB forming and performance test of the optimized Kagome structure are carried out for verifying the accuracy of the model. The results show that the modified Kriging response surface model of the Kagome structure performs well in describing the relationships between the structural parameters and the simulation results, the average relative error of the predicted groove depth and compression strength are 2.4% and 4.5%, respectively. The specific compression strength and the specific compression modulus of the optimized Kagome structure are [Formula: see text] and [Formula: see text]. Based on the compression strength results calculated by the Kriging model, a new Ashby plot for the compressive strength as function of density is obtained.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
小二郎应助科研通管家采纳,获得10
刚刚
molihuakai应助科研通管家采纳,获得10
刚刚
牛牛发布了新的文献求助10
刚刚
Jasper应助科研通管家采纳,获得10
刚刚
飞飞飞发布了新的文献求助10
刚刚
刚刚
刚刚
Lucas应助科研通管家采纳,获得30
刚刚
刚刚
刚刚
刚刚
刚刚
SciGPT应助科研通管家采纳,获得10
刚刚
情怀应助科研通管家采纳,获得10
刚刚
风趣靳应助科研通管家采纳,获得10
刚刚
1秒前
1秒前
1秒前
星辰大海应助小资采纳,获得10
1秒前
袁寒烟完成签到,获得积分10
2秒前
不搭发布了新的文献求助10
2秒前
万能图书馆应助当当采纳,获得10
3秒前
追寻凝荷完成签到,获得积分10
3秒前
4秒前
4秒前
研友_VZG7GZ应助smooth8采纳,获得10
4秒前
科研通AI6.2应助echo采纳,获得10
5秒前
xin66yang发布了新的文献求助10
5秒前
玛卡巴卡发布了新的文献求助10
5秒前
Leeee发布了新的文献求助10
5秒前
科研通AI6.2应助yyuu采纳,获得10
6秒前
搜集达人应助大聪明采纳,获得10
6秒前
6秒前
汉堡包应助舒一一采纳,获得10
7秒前
寒时发布了新的文献求助10
8秒前
坚强的迎天完成签到,获得积分10
8秒前
lalll完成签到,获得积分10
9秒前
9秒前
JamesPei应助cc采纳,获得10
10秒前
12秒前
高分求助中
Overcoming Stigma and Bias in Obesity Management 1200
Signals, Systems, and Signal Processing 610
Software that combines deep learning,3D reconstruction and CFD to analyze the state of carotid arteries from ultrasound imaging 500
Bounds for Statistical Estimation in Semiparametric Models 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
Ideology and Meaning-Making under the Putin Regime 450
Adhesion Science: Principles & Practice 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6492937
求助须知:如何正确求助?哪些是违规求助? 8290508
关于积分的说明 17691208
捐赠科研通 5585086
什么是DOI,文献DOI怎么找? 2915526
邀请新用户注册赠送积分活动 1892599
关于科研通互助平台的介绍 1750900