Title: Study on carbon footprint model and its parameter optimisation of wave soldering process based on response surface method
Authors: Renwang Li; Haixia Liu; Jiaqi Li; Jinyu Song; Jie Rong
Addresses: Faculty of Mechanical Engineering & Automation, Zhejiang Sci-Tech University, Hangzhou, Zhejiang, China ' Keyi College of Zhejiang Sci-Tech University, Shaoxing 312369, Zhejiang, China; Faculty of Mechanical Engineering & Automation, Zhejiang Sci-Tech University, Hangzhou, 310018, Zhejiang, China ' Harbin Engineering University, No. 145, Nantong Street, Nangang District, Harbin, Heilongjiang, China ' Faculty of Mechanical Engineering &Automation, Zhejiang Sci-Tech University, Hangzhou, 310018, Zhejiang, China ' Faculty of Mechanical Engineering &Automation, Zhejiang Sci-Tech University, Hangzhou, 310018, Zhejiang, China
Abstract: In order to respond to low carbon manufacturing, from energy, materials and process carbon emission, etc., this paper constructs a carbon footprint model for wave soldering process in the module workshop of H Company, which belongs to instrument industry. On the basis of selecting appropriate parameter factors, a parameter optimisation model of wave soldering process life cycle carbon footprint is constructed, and the optimum combination of parameters is analysed by response surface method, which contain surface area, clip velocity, clipping angle, flux, purity of solder, temperature of tin furnace, height of wave peak, etc. and then the response values obtained are verified. The experimental results show that the optimised parameters are used to process and manufacture the wave soldering process, and the carbon emission produced by wave welding can be controlled from above 15 kg CO2 to 12 kg CO2.
Keywords: wave soldering; carbon footprint; calculation model; response surface method; parameter optimisation.
DOI: 10.1504/IJWMC.2022.123289
International Journal of Wireless and Mobile Computing, 2022 Vol.22 No.2, pp.105 - 113
Received: 29 Oct 2018
Accepted: 02 Feb 2020
Published online: 08 Jun 2022 *