Application of image processing to micro-milling process for surface texturing

Syahputra, Hendra Prima; Ko, Tae Jo

doi:10.1007/s12541-013-0203-y

Cited by 32 publications

(10 citation statements)

References 6 publications

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“…Various techniques are available for surface texturing, such as laser beam machining [4], abrasive jet machining [5], micro-milling [6], electrical discharge machining [7], and electrochemical micromachining (EMM) [8].…”

Section: Introductionmentioning

confidence: 99%

Sandwich-like electrochemical micromachining of micro-dimples

Zhang

Chen

2016

Surface and Coatings Technology

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Section: Introductionmentioning

confidence: 99%

Sandwich-like electrochemical micromachining of micro-dimples

Zhang

Chen

2016

Surface and Coatings Technology

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“…5 It has also been proved that compared to smooth surfaces, textured surfaces can enhance evaporation efficiency in spray cooling. 6 A number of methods have been used to generate micro-dimple arrays: micro-milling, 7 electrical discharge machining, 8 laser beam machining, 9 abrasive jet machining 10 and electrochemical machining (ECM). 11,12 Among these, ECM is a popular method because of the advantages of being unaffected by material hardness and toughness, the lack of a heat-affected layer and residual stresses, the absence of tool wear and high efficiency for large-area machining.…”

Section: Introductionmentioning

confidence: 99%

Electrochemical micromachining of large-area micro-dimple arrays with high machining accuracy

Hou

Chen

2016

Proceedings of the Institution of Mechanical Engineers, Part B:

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Surface textures, especially micro-dimple arrays, can significantly improve the friction performance of engineering parts. Through-mask electrochemical micromachining is an effective method for generating micro-dimple arrays. In this article, a new method is introduced to fabricate a large-area polydimethylsiloxane mask containing micro through-holes. Using this technique, a stainless steel mould with micro-pillar arrays is generated by wire electrical discharge machining. A combination of pressure and weight of electrolyte is then proposed to keep the polydimethylsiloxane mask closely attached to the workpiece, which helps to achieve high machining accuracy. The effects of applied voltage, effective machining time and pulse duty cycle on the micro-dimples are investigated. The profiles of the micro-dimples are not sensitive to applied voltage, but pulse duty cycle is a significant factor influencing the depth of the micro-dimples. Micro-dimples of width 95 µm, depth 19 µm and a machining area of diameter 40 mm are successfully generated using a polydimethylsiloxane mask, and the standard deviations of the micro-dimple width and depth are only 0.84 and 0.23 µm, respectively. The present experiments verify that it is feasible to obtain large-area micro-dimple arrays with high machining accuracy using this technique.

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“…Accordingly, in order to satisfy the desired requirements and properties of the final product optimal process parameters have to be achieved and maintained within the manufacturing process (cf. [8,30,35,37]). …”

Section: Introductionmentioning

confidence: 99%

A statistical filtering method for denoising of micro-force measurements

Kazimierski

Piotrowska-Kurczewski

Böhmermann

et al. 2016

Int J Adv Manuf Technol

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Precise measurement of mechanical forces is crucial to efficient micro-manufacturing. The quality of such measurements depends heavily on the properties of the noise inevitably accompanying every measurement process. In the micro-range, the signal-to-noise ratio tends to be very low, and the noise dynamic varies for different frequencies. In result, common denoising methods that assume white noise perform poorly in this setting. In this paper, a novel, easily implementable denoising method based on a local statistic of the measured data's spectrum is proposed. By testing it on a representative dataset, it is shown that the proposed method is robust and stable. Particularly, it allows for an efficient retrieval of the force signal encountered in micro-milling processes.

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Application of image processing to micro-milling process for surface texturing

Cited by 32 publications

References 6 publications

Sandwich-like electrochemical micromachining of micro-dimples

Sandwich-like electrochemical micromachining of micro-dimples

Electrochemical micromachining of large-area micro-dimple arrays with high machining accuracy

A statistical filtering method for denoising of micro-force measurements

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