Experimental study on EDM of CFRP based on graphene aqueous solution

ABSTRACT

Carbon fiber reinforced polymer (CFRP) is widely used in aerospace, machinery, and other fields because of its excellent mechanical properties, but defects such as fiber tearing can occur using conventional automated processing. EDM has proven the possibility of machining CFRP, therefore. In this paper, an experimental study on EDM of CFRP using graphene aqueous solution medium was conducted, and by comparing with kerosene and deionized aqueous solution discharge medium for CFRP, it was found that the MRR of CFRP by EDM of graphene aqueous solution was increased by 76% and 18%. The HAZ was reduced by 8% and 4%, respectively. The influence law of the electrical parameters of EDM on the MRR, EWR, and HAZ was investigated by the orthogonal test method, and the optimal machining parameter configuration was obtained by using gray correlation analysis to optimize the multi-objective parameters into a single-objective gray correlation. The feasibility of the obtained optimized parameters was verified by experiment.

KEYWORDS:

• Graphene
• CFRP
• EDM
• orthogonal test
• GRA

Acknowledgments

The authors thank the Changzhou Key Laboratory of Precision Special Forming of Materials for providing equipment support.

Disclosure statement

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Author contributions

N.C. is mainly responsible for the manuscript and editing, analysis of results, and writing of the manuscript. L.K. is mainly responsible for the structure, methodology, design and contact of the whole paper and solving the research and data compilation of the manuscript. W.L. is mainly responsible for the financial support of the experimental part of the manuscript and the connection of the experimental site. R.Q.is Mainly responsible for experimental part material support.

Additional information

Funding

This study was funded by the National Natural Science Foundation of China (Grant No.51975264, No.52205470). The Science and Technology Plan Project of Changzhou (Basic Research for Application) (CJ20220075). The Jiangsu University of Technology Graduate Student Practice Innovation Program (Grant No. XSJCX21_06).