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  • 王经文 ( 教授 )

    的个人主页 http://faculty.nuaa.edu.cn/wjw/zh_CN/index.htm

  •   教授   博士生导师
  • 招生学科专业:
    化学 -- 【招收硕士研究生】 -- 材料科学与技术学院
    材料科学与工程 -- 【招收博士、硕士研究生】 -- 材料科学与技术学院
    材料与化工 -- 【招收博士、硕士研究生】 -- 材料科学与技术学院
    材料与化工 -- 【招收硕士研究生】 -- 材料科学与技术学院
    能源动力 -- 【招收博士、硕士研究生】 -- 材料科学与技术学院
论文成果 当前位置: 中文主页 >> 科学研究 >> 论文成果
Algorithm for automatic boss feature recognition and ejector sleeve design

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所属单位:机电学院
发表刊物:INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
关键字:Feature recognition Boss feature Computer-aided design Injection mold design
摘要:When having boss features in the mold core, the plastic products cannot be smoothly removed from the mold core. Through ejector sleeve design, during the ejection process, the ejector sleeve can eject products to successfully leave the mold core. Under the framework of CAD software, this study developed the boss feature recognition, integrated the mold design, and automated ejector sleeve production. Based on the geometric relationship of the surfaces, edges of the core's boss, this study summarized an algorithm to automatically recognize the boss feature by programming an algorithm. Through computer programming calculation and judgment, the proposed method can automatically recognize boss features to reduce the labeling time at the recognition stage and record the diameters of the center pin and sleeve in feature parameters. At the mold design stage, through the acquisition of its parameters, it can automatically produce a suitable ejector sleeve. Through standardized design process, it can reduce 97% of mouse clicks and design time to guide users to quickly complete the design, while reducing design errors to improve working efficiency by the automatic integration function.
ISSN号:0268-3768
是否译文:否
发表时间:2018-07-01
合写作者:周来水
通讯作者:王经文

 

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