首页    期刊浏览 2024年12月12日 星期四
登录注册

文章基本信息

  • 标题:Development and Modeling of Hydro-formed circular sheet Using Neural Networks
  • 本地全文:下载
  • 作者:Binayaka Nahak ; Tarun Bhardwaj ; Pushpendra Singh Chauhan
  • 期刊名称:International Journal of Engineering Research
  • 印刷版ISSN:2319-6890
  • 出版年度:2014
  • 卷号:3
  • 期号:4
  • 页码:230-234
  • 出版社:IJER
  • 摘要:Hydro forming pro cess is one of the new technolo gies in the manufact uring process in which ho llow pieces a nd sheet works a re fo rmed under fluid p ressure. This pap er d eals with the develop ment of a sheet hydro fo rming (SHF) set up and model to p redict the deformation caused by the hyd ro fo rmi ng usi ng Artificial Neural Networks(ANN). During the s heet hyd ro fo rmi ng (SHF) process, t he hydra uli c pressures were mea sured a nd simultaneousl y the req uired hemispherical products were ob tained with d ome hei ght a nd specific thickness. To va lidat e result of this set up wo rk, a hemispherical pa rt was formed i n a fabri cated hydro forming set up using sing le sheet. The da ta used t o train the Arti ficia l Neural Network (AN N) mod el was collected from sheet hydro forming (SHF) set up tha t wa s designed a nd b uilt in our labo rato ry. Singl e- and two -hidd en-layer feed fo rward neural network mod els were used to capt ure the nonl inear correlat ions between the input(hydraulic p ressure, thickness and dia met er of work piece) a nd o utput (dome hei ght o f deformed p roduct). Neural network mod el was ab le to predict the d eformed dome heig ht, t hick ness of ci rcul ar sheet wi th go od a ccuracy.
  • 关键词:Sh eet hydro -fo rmin g; A NN; Hyd raulic pressu re; Dome ; heig ht.
国家哲学社会科学文献中心版权所有