Analysis, Prediction and Reduction of Emissions in an Industrial Hot Forming Process Chain for the Manufacture of Sheet Metal Components

Author:

Ghattamaneni Manish Chowdary1,Wernicke Sebastian1,Hainmann T.S.1,Sulaiman H.2,Tekkaya A. Erman1

Affiliation:

1. TU Dortmund University

2. Faurecia Autositze GmbH

Abstract

Increasing demands for reducing greenhouse gases drive the metal processing industries to a CO2-neutral production. A thorough understanding of CO2 emission sources from the stage of material acquisition up to the final component is thus necessary to improve the CO2 footprint of sheet metal hot forming process chains. To emphasize on this, an exemplary hot forming process chain is assessed to identify the impact of each sub-process step on total CO2 emissions and the savings potential of individual measures is evaluated. Moreover, a mathematical model is proposed that enables for the prediction of the product specific CO2 emissions as early as in the product design stage. This model is tested to calculate the CO2 emissions resulted during the production of an exemplary hot stamped sheet component. The results point out that the heating stage is responsible for the second highest percentage of CO2 emissions in the process chain next to the material acquisition. Thus, as one of the most suitable measures, a concept to recover process heat from hot formed components to the cold initial blanks is proposed and evaluated analytically.

Publisher

Trans Tech Publications, Ltd.

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science

Cited by 3 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

1. Sustainable manufacturing practices: A systematic analysis and guideline for assessing the industrial Product Carbon Footprint;2024 1st International Conference on Production Technologies and Systems for E-Mobility (EPTS);2024-06-05

2. Prevention of scaling by means of recycled process waste gases;Materials Research Proceedings;2024-05-15

3. Process Window and Repeatability of Thermomechanical Tangential Ring Rolling;Journal of Manufacturing and Materials Processing;2023-05-15

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