悬空区域底面高精度成形的关键打印参数优化  

Optimization of key printing parameters for high-precision forming of the bottom surface of the overhang areas

作　　者：姜泓亦 占钰琪 邢晓月 潘万彬[1] 段宇杰[1] 王川艳 JIANG Hongyi;ZHAN Yuqi;XING Xiaoyue;PAN Wanbin;DUAN Yujie;WANG Chuanyan(School of Media and Design,Hangzhou Dianzi University,Hangzhou Zhejiang 310018,China;HIK Robot Technology CO.LTD.,Hangzhou Zhejiang 310052,China)

机构地区：[1]杭州电子科技大学人文艺术与数字媒体学院,浙江杭州310018 [2]杭州海康机器人股份有限公司,浙江杭州310052

出　　处：《杭州电子科技大学学报（自然科学版）》2023年第4期21-27,65,共8页Journal of Hangzhou Dianzi University：Natural Sciences

基　　金：国家自然科学基金资助项目(61702147)。

摘　　要：为了提高3D打印中悬空区域底面的成形精度,提出一种面向悬空区域底面高精度成形的关键打印工艺参数智能优化方法。首先,获取典型几何形状(平面和圆柱面)的悬空区域底面成形后的精度;然后,根据获取的数据,构建人工神经网络(Artificial Neural Network,ANN),建立悬空区域底面成形精度与关键工艺参数之间关联;最后,融合构建的ANN和多目标优化方法,确定一组或若干组关键打印工艺参数,既能覆盖产品模型上所有的悬空区域底面,又能得到更高的成形精度。实验结果表明,使用该方法优化的工艺参数进行打印,悬空区域底面的成形精度均优于默认打印参数。To improve the forming accuracy of the bottom of the overhang areas in 3D printing,an intelligent optimization approach of key printing process parameters for high-precision forming of the bottom surface of the overhang areas is proposed.Firstly,the forming accuracy of the bottom of the overhang areas with typical geometric shapes(plane and cylinder)is obtained;Then,aided by obtained information,the Artificial Neural Network(ANN)is constructed to establish the relationship between the forming accuracy of the bottom surface of the overhang areas and the key process parameters.Finally,combining the ANN and multi-objective optimization method,one or several groups of key printing process parameters can be determined which can not only cover all the bottom surfaces of the overhang areas on the product model,but also obtain higher forming accuracy.Experimental results show that the forming accuracy of the bottom surface of the overhang areas is better than the default printing parameters when printing with the optimized process parameters.

关 键 词：3D打印 高精度成形 悬空区域 打印参数优化 

分 类 号：TP391.73[自动化与计算机技术—计算机应用技术]