Variations of Energy Demand With Process Parameters in Cylindrical Drawing of Stainless Steel

Author:

Li Lei1,Huang Haihong1,Zhao Fu23,Zou Xiang1,Lu Qi4,Wang Yue3,Liu Zhifeng1,Sutherland John W.3

Affiliation:

1. School of Mechanical Engineering, Hefei University of Technology, Hefei 230009, China e-mail:

2. School of Mechanical Engineering, Purdue University, West Lafayette, IN 47907;

3. Environmental and Ecological Engineering, Purdue University, West Lafayette, IN 47907 e-mail:

4. School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an 710049, China e-mail:

Abstract

Studies have indicated that reducing the process energy demand is as important as improving the energy conversion efficiency to make manufacturing equipment more energy efficient. However, little work has been done to understand the energy demand characteristics of the widely employed drawing process. In this paper, the energy demand of the cylindrical drawing process under a range of operating parameters was measured and analyzed. Since any energy saving efforts should not have negative effects on the product quality, the forming quality of the drawn part indicated by the maximum thinning and thickening ratios and variation of thickness was also considered. To identify the main contributors to energy demand and forming quality, two sets of experiments were designed based on the Taguchi method. The first set of experiments include three parameters (i.e., punch velocity, blank holder force, and drawn depth) at three levels, while the second set of experiments only include two factors (i.e., punch velocity and blank holder force) at three levels due to their impacts on the forming quality. Analysis of variance (ANOVA) and analysis of means (ANOM) were then used to analyze the experimental results. Finally, grey relational analysis (GRA) was used to reveal the correlation between the forming quality and the process energy. Results show that the mean thickness variation has the strongest relational grading with the process energy, which suggests that the process energy can be used as an effective indicator to predict mean thickness variation of the drawn part. The identified characteristics of the process energy and the forming quality can be used to select process parameters for reduced energy demands of drawing processes.

Funder

National Science Foundation

National Natural Science Foundation of China

China Scholarship Council

Publisher

ASME International

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Mechanical Engineering,Control and Systems Engineering

Reference44 articles.

1. Promoting Sustainability of Manufacturing Industry Through the Lean Energy-Saving and Emission-Reduction Strategy;Cai;Sci. Total Environ.,2019

2. A Knowledge-Driven Method of Adaptively Optimizing Process Parameters for Energy Efficient Turning;Xiao;Energy,2019

3. Study of Deep Drawing Process Parameters;Dwivedi;Mater. Today Proc.,2017

4. Deep Drawing 2017;Autoform,2019

5. Worldwide Automobile Production From 2000 to 2017;Statista,2019

Cited by 20 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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