Roughness parameter selection for novel manufacturing processes

Ham, M.; Powers, Brendan

doi:10.1002/sca.21072

Cited by 8 publications

(7 citation statements)

References 16 publications

(22 reference statements)

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“…In contrast to the nanoscale, at the microscale, all the roughness parameters are correlated (Table ) nevertheless, profile values are slightly differently related by their correlation degree to surface values. These findings are comparable to previous studies (Nowicki, ; Rosén et al ., ; Ham and Powers, ) however, the different correlation values obtained by Ham et al is due to the different averaging methods. In their study the mean of three calculations was computed while in ours the median of 16 calculations.…”

Section: Discussionmentioning

confidence: 91%

“…Surface features significantly condition many technological and biomedical applications of biomaterials (Ham and Powers, ). Surface roughness and surface wettability can significantly determine major aspects of biological interactions and, subsequently, allow to predict the eventual failure or success of an implant‐prosthetic treatment (Park et al ., ; Gittens et al ., ).…”

Section: Introductionmentioning

confidence: 99%

“…The parameter reduction method is effective at selecting the RP to represent a surface (Nowicki, ; Rosén, ; Ham and Powers, ). This method is based on the analysis of strong and weak correlations between RPs; correlated RPs highlight the similarity between them; conversely, non‐correlated RPs underline the difference among them.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Useful surface parameters for biomaterial discrimination

et al. 2015

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Topographical features of biomaterials' surfaces are determinant when addressing their application site. Unfortunately up to date there has not been an agreement regarding which surface parameters are more representative in discriminating between materials. Discs (n = 16) of different currently used materials for implant prostheses fabrication, such as cast cobalt-chrome, direct laser metal soldered (DLMS) cobalt-chrome, titanium grade V, zirconia (Y-TZP), E-glass fiber-reinforced composite and polyetheretherketone (PEEK) were manufactured. Nanoscale topographical surface roughness parameters generated by atomic force microscopy (AFM), microscale surface roughness parameters obtained by white light interferometry (WLI) and water angle values obtained by the sessile-water-drop method were analyzed in order to assess which parameter provides the best optimum surface characterization method. Correlations between nanoroughness, microroughness, and hydrophobicity data were performed to achieve the best parameters giving the highest discriminatory power. A subset of six parameters for surface characterization were proposed. AFM and WLI techniques gave complementary information. Wettability did not correlate with any of the nanoroughness parameters while it however showed a weak correlation with microroughness parameters.

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Section: Discussionmentioning

confidence: 91%

Section: Introductionmentioning

confidence: 99%

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Useful surface parameters for biomaterial discrimination

et al. 2015

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“…The parameters presented in Table I, are best suited and recommended for this geometry work, several authors in their research and procedures used tool diameters between 8 and 12 mm, high RPM and feed rates relative to the depth of cut [7] - [13], has been shown that the lower step, the surface quality and formability of the material are much better, considering cutting times are greater. Step depth (mm)…”

Section: Resultsmentioning

confidence: 99%

Experimental Cases in Aluminium Foils by Dieless Process and His Comparison with Others Conventional Sheet Metal Forming Process

Paramo¹,

Benitez²

2014

IJMMM

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Abstract-Incremental sheet forming by the method of single point incremental forming Dieless, is a widely studied process, experimented and developed in countries with high manufacturing technologies, with friendly costs when the productive configuration in a productivity system is based in small production batches. Previously mentioned, this work pretends to develop experimental cases in aluminum foils with 1 mm-thickness, and some specific process parameters, the analysis of forming limit curve (FLC), with the objective to emphasizes in this innovative method based in CAD-CAM technologies, compare with other analogous process of deformation sheet metal like embossing, deep drawing, stamping, spinning, superforming, take correct decisions about the viability and applicability of this process (Dieless) in a particular industrial piece, which responses to the necessities of productive configurations mentioned and be highly taken like a manufacturing alternative to the others conventional process of forming sheet metal , for systems with slow batches production.Index Terms-CAD-CAM, dieless, forming limit diagram curves (FLD), toolpath.

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“…However, typically correlation analysis was used for surfaces after the same kind of machining. Terry and Brown et al [ 112 ] analyzed ground surfaces, Ham and Powers [ 113 ] surfaces after single-point experimental forming, Reizer et al [ 114 ] textured surfaces and Etxeberria et al [ 115 ] surfaces from biomaterials. Many works on this topic were related to two-process textures [ 45 , 106 , 116 , 117 , 118 , 119 , 120 ].…”

Section: Measurement and Characterization Of Two-process Random Surfacesmentioning

confidence: 99%

Two-Process Random Textures: Measurement, Characterization, Modeling and Tribological Impact: A Review

2021

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Two-process random textures seem to present better functional properties than one-process surfaces. There are many random two-process textures. Plateau-honed cylinder surfaces are the most popular example. Two-process surfaces are also created during the initial periods of life of machined elements. However, knowledge about two-process textures measurement, modeling, and behavior is low. Two-process surfaces are very sensitive to measurement errors. It is very difficult to model them. Special methods of their characterization were created. Their functional significance was studied in a small number of publications. In this paper, measurement, characterization, and modeling of two-process textures were presented. The functional impact of them was analyzed, the effects on contact mechanics and friction and wear were mainly studied. Finally, considerations of future challenges were addressed. The nature of two-process random textures should be taken into account during analyses of properties of machined elements. The plateau part decides about the asperity contact, and the valley portion governs the hydrodynamic lubrication.

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Roughness parameter selection for novel manufacturing processes

Cited by 8 publications

References 16 publications

Useful surface parameters for biomaterial discrimination

Useful surface parameters for biomaterial discrimination

Experimental Cases in Aluminium Foils by Dieless Process and His Comparison with Others Conventional Sheet Metal Forming Process

Two-Process Random Textures: Measurement, Characterization, Modeling and Tribological Impact: A Review

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