Parameters Optimization of Turning Process under Extended Carbon Emissions Accounting Method

被引:0
作者
Liu Z. [1 ]
Zheng D. [1 ]
Guo Y. [1 ]
Xiao Z. [1 ]
Wang Q. [1 ]
机构
[1] College of Mechanical and Electrical Engineering, Jinggangshan University, Ji'an
关键词
carbon emissions; Comprehensive objectives; extended; machining; optimization; process parameters;
D O I
10.2174/2212797616666230221145732
中图分类号
学科分类号
摘要
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 low-carbon, 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. © 2023 Bentham Science Publishers.
引用
收藏
页码:118 / 128
页数:10
相关论文
共 27 条
  • [1] Bazan E, Jaber MY, El Saadany AMA., Carbon emissions and energy effects on manufacturing–remanufacturing inventory mo-dels, Comput Ind Eng, 88, 10, pp. 307-316, (2015)
  • [2] Guo J, Weimei YE., Measures and influencing factors of embodied carbon of manufacturing industries export trade in China, Sci Technol Manag Res, 329, pp. 214-222, (2015)
  • [3] Cao H, Li H, Cheng H, Luo Y, Yin R, Chen Y., A carbon efficiency approach for life-cycle carbon emission characteristics of machine tools, J Clean Prod, 37, 4, pp. 19-28, (2012)
  • [4] Wang Q, A carbon emission evaluation method for remanufactu-ring process of a used vehicle CVT gearbox, IEEE Access, 8, pp. 193257-193267, (2020)
  • [5] Dani AA, Roy K, Masood R, Fang Z, Lim JBP., A comparative study on the life cycle assessment of New Zealand residential buil-dings, Buildings, 12, 1, (2022)
  • [6] Roy K, Dani AA, Ichhpuni H, Fang Z, Lim JBP., Improving sustai-nability of steel roofs: Life cycle assessment of a case study roof, Appl Sci, 12, 12, (2022)
  • [7] Li B, Cao H, Yan J, Jafar S., A life cycle approach to characterizing carbon efficiency of cutting tools, Int J Adv Manuf Technol, 93, 9-12, pp. 3347-3355, (2017)
  • [8] Narita H, Kawamura H, Norihisa T, Chen L, Fujimoto H, Hasebe T., Development of prediction system for environmental burden for machine tool operation, JSME Int J Ser C Mech Syst Mach Elem Manuf, 49, 4, pp. 1188-1195, (2006)
  • [9] Kellens K, Dewulf W, Overcash M, Hauschild MZ, Duflou JR., Methodology for systematic analysis and improvement of manufacturing unit process life-cycle inventory (UPLCI)—CO2PE! ini-tiative (cooperative effort on process emissions in manufacturing). Part 1: Methodology description, Int J Life Cycle Assess, 17, 1, pp. 69-78, (2012)
  • [10] Fang K, Uhan N, Zhao F, Sutherland JW., A new approach to sche-duling in manufacturing for power consumption and carbon foot-print reduction, J Manuf Syst, 30, 4, pp. 234-240, (2011)