Surface roughness evaluation and morphology reconstruction of electrical discharge machining by frequency spectral analysis. (February 2021)
- Record Type:
- Journal Article
- Title:
- Surface roughness evaluation and morphology reconstruction of electrical discharge machining by frequency spectral analysis. (February 2021)
- Main Title:
- Surface roughness evaluation and morphology reconstruction of electrical discharge machining by frequency spectral analysis
- Authors:
- Wang, Han
Chi, Guanxin
Jia, Yuchao
Ge, Chuanyang
Yu, Fuxin
Wang, Zhenlong
Wang, Yukui - Abstract:
- Graphical abstract: Highlights: The surface morphology of electrical discharge machining is described by mathematical equation. Response surfaces show the effect of current and pulse width on the diameter and depth of the pits. The suitable frequency range is determined from power spectral density according to fractal theory. Five groups of characteristic parameters are obtained from wavelet decomposition signal layers. Given current and pulse width, the surface equation can be predicted. Abstract: In this paper, it is proposed a method that using mathematical equation to describe the surface morphology of electrical discharge machining (EDM). In particular, response surfaces and the effect of current and pulse width are established by measuring diameter and depth of the pits. A matrix of surface heights is collected by scanning EDM surface with appropriate magnification. Combined with the fractal theory, the suitable fitting frequency range is obtained by analyzing power spectral density of one of the row profiles. Wavelet decomposition is used to separate the profile into signal layers in different frequency ranges. Through picking five suitable signal layers, the characteristic frequencies and corresponding amplitudes of each layer are obtained based on the sizes of the single-pulse pit. These five groups of characteristic parameters are used to reconstruct row profile and surface topography. The mathematical equation of the EDM surface is obtained, and it is verifiedGraphical abstract: Highlights: The surface morphology of electrical discharge machining is described by mathematical equation. Response surfaces show the effect of current and pulse width on the diameter and depth of the pits. The suitable frequency range is determined from power spectral density according to fractal theory. Five groups of characteristic parameters are obtained from wavelet decomposition signal layers. Given current and pulse width, the surface equation can be predicted. Abstract: In this paper, it is proposed a method that using mathematical equation to describe the surface morphology of electrical discharge machining (EDM). In particular, response surfaces and the effect of current and pulse width are established by measuring diameter and depth of the pits. A matrix of surface heights is collected by scanning EDM surface with appropriate magnification. Combined with the fractal theory, the suitable fitting frequency range is obtained by analyzing power spectral density of one of the row profiles. Wavelet decomposition is used to separate the profile into signal layers in different frequency ranges. Through picking five suitable signal layers, the characteristic frequencies and corresponding amplitudes of each layer are obtained based on the sizes of the single-pulse pit. These five groups of characteristic parameters are used to reconstruct row profile and surface topography. The mathematical equation of the EDM surface is obtained, and it is verified effective. … (more)
- Is Part Of:
- Measurement. Volume 172(2021)
- Journal:
- Measurement
- Issue:
- Volume 172(2021)
- Issue Display:
- Volume 172, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 172
- Issue:
- 2021
- Issue Sort Value:
- 2021-0172-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-02
- Subjects:
- EDM -- Surface morphology -- Wavelet -- Surface reconstruction -- Spectral analysis
Weights and measures -- Periodicals
Measurement -- Periodicals
Measurement
Weights and measures
Periodicals
530.8 - Journal URLs:
- http://www.sciencedirect.com/science/journal/02632241 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.measurement.2020.108879 ↗
- Languages:
- English
- ISSNs:
- 0263-2241
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5413.544700
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British Library HMNTS - ELD Digital store - Ingest File:
- 22339.xml