Development of an automated structural design system for progressive dies based on the integrated design methodology of process and structure

Author:

kong haijiao1,zhang zhibing,wei yang,liu yuqi

Affiliation:

1. Huazhong University of Science and Technology

Abstract

Abstract The process of designing progressive dies can be complex, tedious, time-consuming, and error-prone, which can significantly impact the development period and design quality. This paper presents a systematic methodology that includes the planning design and automated design of die structure. A super process model (SPM) is presented as the output of the planning design of die structure and the input of the automated design of die structure. Subsequently, parametric template methodology based on deformation feature process geometry (DFPG) is proposed to automate the design of punches and dies. Lastly, a layout method based on layout space for standard parts is proposed to perform the automated layout of standard parts for die-sets, punches, and dies; additionally, a robust calculation method of layout space is introduced. This system is then implemented in two home appliance enterprises. Case studies and industrial applications have demonstrated the effectiveness of the developed system, which can improve the design efficiency by a minimum of 85% and reduce design error by an average of 50%.

Publisher

Research Square Platform LLC

Reference21 articles.

1. An expert system approach for die and mold making operations;Cakir M;Robot Comput Integr Manuf,2005

2. A knowledge-based system for selection of progressive die components;Kumar S;J Achievements Mater Manuf Eng,2007

3. An intelligent system for automatic modeling of progressive die;Kumar S;J Mater Process Technol,2007

4. An automated design system for progressive die;Kumar S;Exp Syst Appl,2011

5. An automated design system for compound washer dies;Potocnik D;J Braz Soc Mech Sci Eng,2013

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3