Parameters Optimization of Turning Process under Extended Carbon Emissions Accounting Method

Author:

Liu Zhaohui1,Zheng Dateng1,Guo Yuming1,Xiao Zhongyue1,Wang Qiang1

Affiliation:

1. College of Mechanical and Electrical Engineering, Jinggangshan University, Ji'an, 343009, P.R. China

Abstract

Aims: To evaluate the environmental benefits of the manufacturing system and optimize the process parameters, a more effective method of evaluating environmental benefits should be adopted, which can be used for process parameters optimization. Background: Mechanical manufacturing systems generally include raw materials, energy, products, waste emissions, capital, labor, and other elements. The Extended Carbon-Emissions Accounting (ECEA) method is an extension of the traditional Carbon Emissions Accounting (CEA) method, which can account for capital and labor elements in equivalent carbon emissions similar to other elements. Methods: Through the ECEA method, the Extended Carbon Dioxide Emissions (Ex-CDE) of the manufacturing system are obtained by accumulating the value by multiplying the consumption of each element and its Extended Carbon Emission Factor (Ex-CEF), which can be used as the environmental benefits of the manufacturing system. Then, a comprehensive optimization case of lowcarbon, high-efficiency, and low-cost can be built, including all consumption elements, and the COMPLEX algorithm is used to solve this optimization problem. Results: Taking a turning process as an example, through the ECEA method combined with the COMPLEX algorithm, the process parameters for environmental benefits or comprehensive optimization can be solved. Conclusion: ECEA method is suitable for environmental benefits analysis and optimization of the manufacturing system.

Funder

Science and Technology Research Project of Jiangxi provincial department of education

Ji'an Science and Technology

doctoral research start-up fund project of Jinggangshan University

Publisher

Bentham Science Publishers Ltd.

Subject

General Materials Science

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