Author(s)

Chunhua Feng ¹, Meng Li ¹, Enguang Qin ¹

Affiliation(s)

¹ School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China

Corresponding Author

Chunhua Feng

ABSTRACT

The course of testing technology plays an extremely important role in the informatization of machinery manufacturing industry and the cultivation of innovative talents. In order to better let students to grasp the sensor output signal how to obtain clean signal through signal processing, this paper puts forward the cutting force signal processing case in milling experiment, help students to combine theory with practice.

KEYWORDS

Integrated of Research and Teaching, Testing courses, Milling force signal

CITE THIS PAPER

Chunhua Feng, Meng Li, Enguang Qin, Application in testing courses of milling force signal processing. Accounting, Auditing and Finance (2023) Vol. 4: 1-5. DOI: http://dx.doi.org/10.23977/accaf.2023.040101.

REFERENCES

[1] Bhattacharyya P., Sengupta D., Mukhopadhyay S. (2007). Cutting force-based real-time estimation of tool wear in face milling using a combination of signal processing techniques. Mechanical Systems & Signal Processing, 21(6), 2665-2683.
[2] Feng C., Wu Y. (2022). Teaching Reform Integration of Scientific Research, Teaching and Psychology. Curriculum and Teaching Methodology 5: 88-92.
[3] Totis G., Sortino M. (2023). Superior optimal inverse filtering of cutting forces in milling of thin-walled components. Measurement, 206:112227.
[4] Shrivastava Y., Singh B. (2018). Stable cutting zone prediction in CNC turning using adaptive signal processing technique merged with artificial neural network and multi-objective genetic algorithm. European Journal of Mechanics - A/Solids, 70, 238-248.

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