已收录 273151 条政策
 政策提纲
  • 暂无提纲
A Parametric Study of Springback For Compensation Strategies
[摘要] In this article, we perform a parametric study of the springback phenomenon. The effect of material parameters related to the work hardening and the thickness is studied by using computer experiments and statistical methods. First, a sensitivity analysis is performed using a fractional factorial design and a linear regression model. After determining the important factors, a Taguchi analysis is performed to estimate the optimum value of the parameters for robustness against springback. Next, we create a Gaussian process meta-model trained with the data generated via Latin hypercube sampling. This meta-model is used to better understand the nonlinearity of the response and the effect of parameter interactions. Finally, by using a Monte Carlo simulation on the meta-model we determine how the variability of the input parameters propagate to the response (springback). The pipeline explained in this work can help with establishing an effective strategy for the springback compensation.
[发布日期]  [发布机构] Forming Technologies Inc, 3370 S Service Rd, Burlington; ON; L7N 3M6, Canada^1
[效力级别]  [学科分类] 
[关键词] Compensation strategy;Computer experiment;Effect of parameters;Fractional factorial designs;Gaussian Processes;Latin hypercube sampling;Linear regression models;Springback compensation [时效性] 
   浏览次数:21      统一登录查看全文      激活码登录查看全文