3D Parametric and Nonparametric Description of Surface Topography in Manufacturing Processes

Królczyk, Grzegorz; Kacalak, Wojciech; Wieczorowski, Michał

doi:10.3390/ma14081987

Cited by 22 publications

(14 citation statements)

References 31 publications

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“…To compare the test results, the state of the cutting surface and especially the roughness of the kerf surface [ 37 , 38 ] were evaluated using the Sq parameter. Commonly, abrasion progresses from the surface’s highest position.…”

Section: Methodsmentioning

confidence: 99%

Preliminary Studies into Cutting of a Novel Two Component 3D-Printed Stainless Steel–Polymer Composite Material by Abrasive Water Jet

et al. 2023

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Composites are materials with a heterogeneous structure, composed of two or more components with different properties. The properties of composites are never the sum or average of the properties of their components. There is a lot of research and many models on the different property assessments of composite materials. Composites are used as construction materials in key areas of technology, including in civil and mechanical engineering, aviation and space technology, and others. This work presents a modern composite material created with 3D-printing technology using the SLM method, and the possibility of its processing with one of the advanced manufacturing technologies, i.e., the Abrasive Water Jet (AWJ). Tests planned using DoE methods were carried out by changing control parameters such as the pressure, abrasive flow, and traverse speed. As a dependent parameter, the surface roughness parameter Sq (squared mean height) was selected and measured in different places of the cut composite. Based on the S/N ratio, the most favorable control parameters of the cutting process were also determined to achieve the lowest roughness of the cut surface. A clear effect of the controlled cutting process on the surface roughness was observed, as well as roughness variation for the metal and polymer component. In addition, the contact surface of the polymer with the metal in the cut zone was analyzed. Analysis of the contact surfaces on the microscope showed that the gap between the polymer–metal contact surfaces does not exceed 2.5 μm.

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Section: Methodsmentioning

confidence: 99%

Preliminary Studies into Cutting of a Novel Two Component 3D-Printed Stainless Steel–Polymer Composite Material by Abrasive Water Jet

et al. 2023

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“…Most popular surface roughness parameter Sa (Balasz, Szatkiewicz, and Krolikowski 2007), (Krolczyk, Kacalak, and Wieczorowski 2021) shows a the mean of the average height difference for the average plane. It gives steady effects because is not substantially affected by scratches, contamination, and measurement noise and the spacing of the varied texture assets.…”

Section: Surface Roughnessmentioning

confidence: 99%

Desirability Function Analysis (DFA) in Multiple Responses Optimization of Abrasive Water Jet Cutting Process

Perec

2022

Rep. Mech. Eng.

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This paper introduces optimization of machining parameters for high-pressure abrasive water jet cutting of Hardox 500 steel utilizing desirability function analysis (DFA). The tests were carried out according to the orthogonal matrix (Taguchi) L9. The control parameters of the process such as pressure, abrasive flow rate, and traverse speed was optimized under multi-response conditions namely cutting depth and surface roughness. The optimal set of control parameters was established on the basis of the composite desirability value obtained from desirability function analysis and the significance of these parameters was determined by analysis of variance (ANOVA). The effects show that optimal sets for high cutting depth and small surface roughness is high pressure, middle abrasive flow rate, and small traverse speed. A confirmation test was also leaded to validate the test results. Results of the research have shown that machining efficiency at keeping good level quality of cut surface can be improved this approach.

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“…Surface texture is quantified by a series of parameters established by mathematical analysis. As Królczyk et al established in [ 18 ], the emerging aim in science is to determine functional surface parameters of the samples. Determination of the 2D roughness parameters is included in the ISO 4287 [ 19 ], ISO 12085 [ 20 ] and ISO 13565-2 [ 21 ] specification standards, while the 3D roughness parameters are included in the ISO 25178-2 standard [ 12 ].…”

Section: Introductionmentioning

confidence: 99%

Results of a Surface Roughness Comparison between Stylus Instruments and Confocal Microscopes

et al. 2022

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This article presents the results of an LMM-R-2019 interlaboratory comparison. Such comparisons of different families of measuring instruments are one of the activities conducted among the calibration laboratories to maintain their ISO 17025 accreditation. Given that the study of surface roughness is becoming increasingly important in the field of dimensional metrology, the comparison focused on determining the Ra parameter on a pseudorandom metallic roughness standard using two types of measuring instruments: physical contact (stylus instruments) and optical (confocal microscopes). Among the aspects studied was whether the roughness measurements obtained using calibrated confocal microscopes could be compared with those using traditional methods since optical instruments obtain measurements more quickly and responsively than do stylus instruments. The results showed that roughness measurements using confocal microscopes are comparable with those from a traditional stylus instrument.

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3D Parametric and Nonparametric Description of Surface Topography in Manufacturing Processes

Abstract: Surface topography has a profound influence on the function of a surface [...]

Cited by 22 publications

References 31 publications

Preliminary Studies into Cutting of a Novel Two Component 3D-Printed Stainless Steel–Polymer Composite Material by Abrasive Water Jet

Preliminary Studies into Cutting of a Novel Two Component 3D-Printed Stainless Steel–Polymer Composite Material by Abrasive Water Jet

Desirability Function Analysis (DFA) in Multiple Responses Optimization of Abrasive Water Jet Cutting Process

Results of a Surface Roughness Comparison between Stylus Instruments and Confocal Microscopes

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