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Article

Deliberate Surface Treatment of Zirconium Dioxide with Abrasive Brushing Tools

1
Institute for Machine Tools and Factory Management (IWF), Technische Universität Berlin, Pascalstr. 8-9, 10587 Berlin, Germany
2
Fraunhofer Institute for Production Systems and Design Technology IPK, Technische Universität Berlin, Pascalstr. 8-9, 10587 Berlin, Germany
*
Author to whom correspondence should be addressed.
Ceramics 2022, 5(4), 883-900; https://doi.org/10.3390/ceramics5040064
Submission received: 30 September 2022 / Revised: 17 October 2022 / Accepted: 21 October 2022 / Published: 1 November 2022
(This article belongs to the Special Issue Advances in Ceramics)

Abstract

:
Brushing with bonded abrasives is a flexible finishing process used to reduce the roughness of technical surfaces. Although industrially widespread, especially for the finishing of metallic surfaces, insufficient knowledge of the motion, the material removal, and the wear behavior of the abrasive filaments complicates predictions of the work result. In particular, the reliable finishing of ceramics with bonded diamond grains proves difficult due to increased material removal rates, quickly leading to undesirable changes in the workpiece geometry. Based on technological investigations with abrasive brushing tools, this article provides insights into the surface finishing of zirconium dioxide with a focus on finding compromises between reduction in the surface roughness and alteration of the workpiece shape.

1. Introduction

Brushing with bonded abrasives is a manufacturing process industrially used for the deburring and the rounding of workpiece edges as well as the finishing of technical surfaces, specifically with the goal of decreasing the surface roughness without affecting the workpiece geometry [1,2,3,4,5]. Crucial for the process are its flexible brushing tools, which normally consist of a multitude of abrasive filaments attached to an epoxy brush body, Figure 1. The abrasive filaments are composed of an extruded polymer matrix, typically polyamide 6.12, and bonded abrasive grains, typically silicon carbide (SiC) or aluminum oxide (Al2O3). Harder abrasive materials, such as diamond or cubic boron nitride (cBN), may be used to extend the range of machinable materials, particularly in regard to finishing ceramic workpieces [6,7,8,9].
The high flexibility of the abrasive filaments enables even ordinarily shaped tools to adapt to complexly shaped workpieces by compensating for small inaccuracies of the tool or the workpiece geometry, as well as of tool trajectories or the machine system. The multidirectional motion and cutting patterns of the abrasive filaments yield surfaces of high quality and minimal geometrical deviations, ideally removing only roughness peaks while retaining roughness valleys for enhanced lubrication properties. Further benefits are low process temperatures as well as the potential to utilize pre-existing grinding or milling machine systems [1,3,4,5].
However, the full potential of brushing processes remains largely unused due to the insufficiently understood motion, material removal, and wear behaviors of the abrasive filaments, making predictions for process results difficult, therefore causing industrial applications to be largely based on experiential values [3,4,5]. Several studies on the brushing of metallic surfaces confirm a strong correlation between contact forces and the work result because high contact forces lead to deep penetration of the workpiece material by the abrasive grains [1,2,3,4,5,10].
In contrast, studies on the brushing of oxide ceramics are few, most notably indicating a lower process reliability compared to the brushing of metals: on the one hand, finishing ceramics necessitates the use of diamond grains due to the high hardness of ceramics in general. This leads to large material removal rates Qw and subsequently to large workpiece geometry deviations [7], whereas steel surfaces may be brushed successively without distinctly changing the workpiece geometry, but merely reducing the surface roughness until a tool-specific threshold roughness is reached [4,5]. On the other hand, the low thermal conductivity of ceramic materials, particularly when compared with previously investigated metals, also increases the likelihood of tool wear. This holds true especially for dry brushing processes without the use of cooling lubricant, at worst melting the polymer matrix of the abrasive filaments, resulting in irreversible tool damage [4].
As for potential applications, dental prosthetics typically require very low surface roughness in order to prevent bacteria growth, peri-implant inflammation, and long-term bone loss [11,12,13], yet may allow for higher shape deviations than an application exposed to high frictional forces, such as artificial hip joints or roller bearings, the latter of which would require the absence of roughness peaks but the presence of roughness valleys to retain lubricating fluids. Consequently, just as wide as the potential application range of ceramics needs to be its range of deliberate surface treatments, a task for which brushing tools with bonded abrasives proved highly suitable.
Thus, the aim of this article is to gain a better understanding of the dry finishing of ceramic surfaces using brushing tools with bonded abrasives. This is achieved through technological investigations with different tool specifications and process parameter combinations, evaluating the work result on the basis of surface roughness and topography measurements.

2. Materials and Methods

The material investigated within the scope of this article was zirconium dioxide of type Frialit FZM, manufactured by Friatec GmbH, Mannheim, Germany, and chosen for its comparably ductile machining properties. The material was partially stabilized with magnesium oxide (Mg-PSZ) to prevent tetragonal to monoclinic phase transformation, which increases the fracture toughness [14,15]. Compared to the more common variant stabilized with yttrium oxide (Y-PSZ), Mg-PSZ is less subject to thermal degradation at temperatures below 200 °C [14,16]. For simplicity, the used material will from here on be referred to as ZrO2. Its main fields of application include dental and medical engineering as well as high-temperature environments, such as gas turbines and industrial furnaces [15,16,17,18,19,20,21]. The workpiece material is furthermore characterized by an average size of crystallites of dc = 50 µm, a density of ρw = 5.7 kg/dm3, a toughness of Klc = 6.3 MPa∙m0.5, and a Young’s modulus of Ew = 185 GPa. The workpieces themselves were of the dimensions 200 × 200 × 20 mm3 and were plane-ground by the manufacturer, Figure 2, yielding an average arithmetic mean roughness of Ra = 1.0 µm.
The abrasive brushing tools used were round brushes manufactured by Carl Hilzinger-Thum GmbH and Co. KG, Tuttlingen, Germany, with a tool width of bb = 20 mm and outer diameters between db = 340 mm and db = 380 mm. Tools with large diameters were chosen based on their large number of filaments Nf and the improved support between filaments due to their lower brush body curvature, thereby leading to more efficient brushing processes. The high hardness and the brittle machining behavior of ZrO2 necessitate the use of polycrystalline diamond as an abrasive medium, bonded in a filamentary PA 6.12 matrix, a polyamide type with high restoration capability after liquid absorption. In order to investigate the relations between high material removal and low resulting surface roughness, three different grain sizes dg and filament diameters df were used, Table 1. In addition, three different filament lengths lf were investigated, Table 1, based on the correlation between increasing filament lengths lf and decreasing process normal forces Fn [5].
The technological investigations were carried out on a gear profile grinding machine of type ZP 12 by Kapp Niles GmbH & Co. KG, Coburg, Germany, Figure 3a, and modified for plane brushing with a purpose-built setup, Figure 3b. Although the thermal conductivity of the workpiece material was specified as 3.0 W/(m∙K) at room temperature, which is low compared to previously investigated metals, no cooling lubricant was used during brushing. This choice was made in order to decrease the number of possible influences on the measurement of process forces and the work result, as the polyamide matrix of the abrasive filaments is prone to the absorption of liquids, which increases their elasticity and in turn decreases the process forces [3,4].
The essential process parameters are the brushing velocity vb, the tangential feed rate vft, and the infeed ae [1,2,3,4,5], and the experiments were carried out as a fractional factorial design with three stages per parameter, Table 2. For consistency, all workpieces were brushed only once and in counter rotation, meaning that the brushing velocity vb and the tangential feed rate vft pointed in opposite directions; however, the influence of the feed direction is estimated to be negligible due to the brushing velocity vb being approximately three orders of magnitude higher than the tangential feed rate vft. Prior to the technological investigations, all brushing tools were worn in for 200 brushing cycles using default parameters; this was to maximize the consistency of the work result, as newly manufactured brushing tools tend to achieve higher material removal rates Qw than worn-in brushing tools, the material removal rates Qw of which are rapidly decreasing as tool wear sets in.
The correlation between process parameters and process forces dictates that a high brushing velocity vb strongly increases the normal force Fn due to the large number of filament–workpiece contacts. In contrast, a large infeed ae increases the normal force Fn distinctly less, whereas the tangential feed rate vft does not distinctly influence the normal force Fn [5,8,9]. Typically, the normal force Fn is represented by a static mean value Fn,µ over a time span of relative constancy, Figure 4a. Since brushing processes may be subject to dynamic filament behavior [8,9,22], the normal force Fn should furthermore be specified by the dynamic normal force Fn,σ, representing the standard deviation of the normal force Fn over the same time span of relative constancy.
Prior and subsequent to brushing, the surface roughness of each workpiece was measured with a tactile surface measurement device of type Nanoscan 855 by Hommel-Etamic GmbH, Villingen-Schwenningen, Germany, Figure 3c. As the surface roughness is inhomogeneous across the width of a brushed profile [5], it was always measured starting at the profile center to achieve high repeatability. Each experiment and each roughness measurement were repeated three times, yielding nine measurements per process parameter combination. For selected parameter combinations, topography measurements across the entire width of the brushed profile were carried out in order to determine the profile width wb and the profile depth hb, Figure 4b.
By measurement of the height of the profile z, consisting of discrete data points zi, and subsequent determination of the profile width wb, the profile cross-section area Ab and the material removal rate Qw can be calculated:
A b = w b   z   ·   dx m
Q w = A b   ·   v ft
As the profile depth hb may be far greater than the surface roughness, depending on the tool specification and the process parameters, it indicates whether only the roughness peaks are removed as intended or an entirely new topography is formed by the brushing process, similar to a grinding process. Hence, the profile depth hb serves as a measure for the workpiece geometry deviation, which is treated as undesirable within the scope of this article.

3. Results

The brushing velocity vb being the most influential process parameter, it was confirmed to have a distinct impact on the normal force Fn exerted by the brushing tool onto the workpiece, which means that increasing brushing velocities vb always leads to ascending normal forces Fn, Figure 5.
A notable result of analyzing the static normal force Fn,µ is that the highest values were not achieved by tool Dia41 with the largest filament diameter df = 1.4 mm, but instead by Dia35 with a filament diameter of only df = 1.0 mm, Figure 5a, despite filaments of large diameters df being stiffer, theoretically leading to larger contact forces. This can be explained by the total number of filaments Nf counteracting the stiffness of the single filament: Whereas tool Dia41 has an approximate filament number of Nf = 7850, Dia35 consists of approximately Nf = 10,900 filaments, which are closer together due to their smaller filament diameter df, and thus, better supported due to a higher stocking density. This is assumed to also cause the progressive increase in the static normal force Fn,µ for tool Dia26 with the smallest filament diameter of df = 0.6 mm and an approximate filament number of Nf = 37,900, the total number of filament–workpiece contacts per time influencing the normal force Fn more than the individual filament stiffness.
Analysis of the dynamic normal force Fn,σ suggests dynamic tool behavior for Dia26 at brushing velocity vb = 20 m/s, indicated by a strongly degressive trend as opposed to tools Dia35 and Dia41, Figure 5b. High dynamic normal forces Fn,σ caused by dynamic tool behavior are assumed to have no positive influence on the work result, despite overall larger normal forces Fn, but are on the contrary associated with increased tool wear due to high filament stress [22].
Indeed, analysis of the work result shows that at brushing velocity vb = 20 m/s, tool Dia26 neither reduced the workpiece roughness considerably nor removed a notable amount of workpiece material, Figure 6. Instead, highest roughness reduction with tool Dia26 was achieved by a high brushing velocity of vb = 30 m/s, resulting in a reduction in the arithmetic mean roughness of ΔRa = 85%, Figure 6a, superseding all other experiments. Additionally, small grain sizes dg and filament diameters df lead to a progressive trend, meaning a more efficient roughness reduction at high brushing velocities vb. Contrary to this, tools with large grain sizes dg and filament diameters df yield average surface roughness reductions, which are largely independent of the brushing velocity vb due to the grain size dg being the limiting factor of the low-threshold roughness.
Further noticeable is the strong deviation between experiments regarding the dynamic normal force Fn,σ and the reduction in the arithmetic mean roughness ΔRa for tool Dia35 and brushing velocity vb = 30 m/s, suggesting a correlation between both as well as a negative influence of dynamic tool behavior.
In terms of the material removal rate Qw, large grain sizes dg and filament diameters df are more efficient at high brushing velocities vb, Figure 6b, exhibiting an almost proportional trend. By contrast, small grain sizes dg and filament diameters df lead to a progressive trend, qualitatively resembling the static normal force Fn,µ, Figure 5a. However, if low geometrical deviations are required, high material removal rates Qw are undesirable, as they compulsorily lead to large profile depths hb.
As the arithmetic mean roughness Ra may not be meaningful for all applications, an in-depth look is taken at two roughness parameters characterizing the tribological properties of a surface: the reduced peak height Rpk, resembling the tribologically disadvantageous peaks of a roughness profile, and the reduced valley depth Rvk, resembling the tribologically advantageous valleys, in which microscopic volumes of lubricant are retained. Concerning the reduction in the reduced peak height ΔRpk, Figure 7a, both tool specifications Dia35 with medium and Dia41 with large grain size dg and filament diameter df appear to remove roughness peaks regardless of the brushing velocity vb, the remaining peaks being newly formed and their height depending only on the grain size dg, whereas tool Dia26 with small grain size dg and filament diameter df is suited for deliberate peak height adjustment. Large standard deviations between experiments suggest an unreliable brushing process and further confirm that new peaks of varying height were formed.
Analogously, the reduction in the reduced valley depth ΔRvk shows a similar, albeit amplified trend, Figure 7b, tool Dia35 with medium grain size dg and filament diameter df seeming suitable for deliberate valley depth adjustments by variation of the brushing velocity vb. Dia26 with small grain size dg and filament diameter df exhibits this adjustability even more, at brushing velocity vb = 10 m/s removing none of the roughness valleys induced by the initial plane-grinding treatment and at brushing velocity vb = 30 m/s removing nearly all.
Figure 8 shows the workpiece topography after one-time brushing with grain size dg = 240 mesh, filament diameter df = 1 mm, and brushing velocity vb = 10 m/s. The roughness peaks were mostly removed, denoted by a reduction in the reduced peak height of ΔRpk = 68%, while the roughness valleys remain largely intact, denoted by a reduction in the reduced valley depth of ΔRvk = 25%. This corresponds to a reduction in the arithmetic mean roughness ΔRa = 51% and a profile depth of hb = 4.120 µm, meaning little shape deviation considering the initial total height of the roughness profile Rt = 8.403 µm.
In comparison, Figure 9 shows a similar process with increased brushing velocity vb = 30 m/s. Not only were roughness peaks and valleys mutually removed, denoted by reductions in the reduced peak height of ΔRpk = 65% and the reduced valley depth of ΔRvk = 76%, but also was a considerable shape deviation induced, denoted by a profile depth of hb = 13.558 µm.
The process also shows the characteristic W-shape observed in previous studies [5,7], caused by the abrasive filaments deflecting to the sides according to the principle of least constraint, although previously no remark was made on the asymmetry of the W-shape. By contrast, Figure 10 depicts the topography of an analogous process with grain size dg = 320 mesh and filament diameter df = 0.6 mm, which shows a U-shaped profile instead of a W-shape despite a comparable profile depth of hb = 10.036 µm.
Figure 11 shows an exemplary process of extreme shape deviation, induced by grain size dg = 80 mesh, filament diameter df = 1.4 mm, and brushing velocity vb = 20 m/s. The initial roughness peaks and valleys were altogether removed, instead inducing new macroscopic peaks and valleys at a profile depth of hb = 38.483 µm, which exceed the initial total height of the roughness profile of Rt = 9.171 µm.
Moving on to the next relevant process parameter, the tangential feed rate vft, previous studies agree on a proportional response of the work result, meaning that one-time brushing at a decreased tangential feed rate vft has the same effect as multiple brushing cycles at a high tangential feed rate vft, given that both processes overall amount to the same brushing time [4,5,7]. This is mostly contributed to the tangential feed rate vft being approximately three orders of magnitude lower than the brushing velocity vb, leading to the tangential feed rate vft being omitted as a relevant parameter from several studies with a focus on the process forces due to its theoretical proportionality to the work result [8,9,22]. Indeed, the technological investigations carried out within the scope of this article confirmed an independence of the process forces from the tangential feed rate vft. Nonetheless, for practical purposes multiple brushing cycles at a high tangential feed rate vft may be advisable while dry-brushing ceramics due to their low thermal conductivity, spreading the induced process heat across a larger surface, thus reducing tool wear.
Comparing the reduction in the arithmetic mean roughness ΔRa for different tangential feed rates vft, grain sizes dg, and filament diameters df, as shown in Figure 12a, it becomes apparent that comparably large roughness reduction is achieved at a tangential feed rate of vft = 1000 mm/min, whereas lower tangential feed rates vft do not reduce the arithmetic mean roughness Ra proportionally more, meaning that high tangential feed rates vft lead to more efficient brushing processes. More importantly, this applies to all investigated tool specifications, the grain size dg being the limiting factor in achieving high roughness reduction.
In comparison, the profile depth hb shows similar behavior, Figure 12b, that is for small grain sizes dg and filament diameters df, while tool Dia41 with grain size dg = 80 mesh and filament diameter df = 1.4 mm shows a behavior more proportional to the tangential feed rate vft, meaning that it is a suitable parameter to adjust undesirable shape deviations. As the reduction in the arithmetic mean roughness Ra seems to be independent of the tangential feed rate vft using tool Dia41, it stands to reason to increase the tangential feed rate vft beyond the investigated parameter space to achieve even lower shape deviations and comparably high roughness reductions.
Figure 13 shows a topography of a workpiece brushed with grain size dg = 240 mesh, filament diameter df = 1 mm, and tangential feed rate vft = 1000 mm/min. Despite the small profile depth of hb = 3.837 µm, a W-shape is setting in, distinguished by the obvious crest in the tool center region, marking a region of little surface treatment. The topography is characterized by reductions in the arithmetic mean roughness of ΔRa = 49%, the reduced peak height of ΔRpk = 67%, and the reduced valley depth of ΔRvk = 23%, resembling the largest difference between roughness peak height and valley depth among all experiments conducted within the scope of this article.
Approaching the third and final relevant process parameter, the infeed ae showed distinguishable effects on the work result under variation of the filament length lf. Unfortunately, not all tool specifications proved suitable for the chosen parameter space, as all tools with filament length lf = 30 mm were permanently damaged even at low infeed ae = 1 mm and moderate brushing velocity vb = 20 m/s, Figure 14, mostly as a result of dry-brushing and the low thermal conductivity of ceramics. Consequently, only tools with filament lengths lf = 40 mm and lf = 50 mm could be properly investigated.
Analyzing the process forces under variation of infeed ae and filament length lf, Figure 15a, shows two expected trends: large infeeds ae and small filament lengths lf each leading to increased static normal forces Fn,µ, one being a result of increased filament stress, the other of increased filament stiffness, which confirms the findings of all previous studies [3,4,5,7,8,9,22]. However, not as trivial is the finding that the dynamic normal force Fn,σ, which has not yet been thoroughly investigated, shows an opposite trend, meaning that large infeeds ae and small filament lengths lf each lead to decreased dynamic normal forces Fn,σ, Figure 15b. Moreover, brushing processes with filament length lf = 50 mm exhibit larger deviations between experiments, further corroborating dynamic tool behavior.
This decrease in the dynamic normal force Fn,σ with increased infeed ae is likely a result of prolonged filament–workpiece contact, resulting in both an increased contact time tc and a larger contact length lc, leading to a larger number of abrasive filament beings in contact with the workpiece simultaneously, thus stabilizing the process.
Contrasting these findings with the reduction in the arithmetic mean roughness Ra, Figure 16a, opposing behaviors for the two investigated tool specifications can be observed: while tool Dia35 with filament length lf = 40 mm shows maximum roughness reduction at an infeed of ae = 2 mm, exhibiting a discontinuous trend, tool Dia36 with filament length lf = 50 mm achieved highest roughness reduction at maximum infeed ae = 3 mm, furthermore represented by a low deviation between experiments, accounting for an exceptionally stable and repeatable brushing process.
These trends appear reinforced when compared with the profile depth hb, Figure 16b, which at increased infeed ae decreases progressively for filament length lf = 40 mm and increases degressively for filament length lf = 50 mm, meaning in fact that brushing processes with small filament lengths lf lead to less shape deviation at high infeeds ae, whereas large filament lengths lf cause less shape deviation at low infeeds ae. However, the overall values of the profile depth hb remain below the initial total heights of the roughness profile, ranging from Rt = 7.485 µm to Rt = 8.399 µm, which makes brushing processes with large filament lengths lf and infeeds ae very suitable for the deliberate adjustment of the surface roughness, while simultaneously inducing only small shape deviations. Nonetheless, the exact interrelations between filament length lf, infeed ae, and work result remain inconclusive due to the opposing behaviors of tools Dia35 and Dia36, requiring more technological investigations while dividing the parameter space into finer increments.
Figure 17 shows the workpiece topography of a brushing process with filament length lf = 50 mm and infeed ae = 3 mm, characterized by reductions in the arithmetic mean roughness of ΔRa = 85%, the reduced peak height of ΔRpk = 83%, and the reduced valley depth of ΔRvk = 76%, albeit a relatively small profile depth hb = 6.653 µm, making it the most efficient brushing process in terms of high roughness reduction and low shape deviation among all conducted experiments. Also notable is the asymmetry of the forming W-shape, similar to Figure 9; this might be contributed to either an incorrect orientation of the workpiece relative to the brushing tool or the manufacturing process of the brushing tool itself.
On a side note, it should be mentioned that brushing with an infeed of ae < 1 mm is theoretically possible, but potentially ineffective due to the eccentricity of the brushing tools: depending on the measurement position, the actual tool diameter db,a deviates up to ±0.5 mm from the nominal tool diameter of db = 380 mm; this is purely a result of the tool manufacturing process, specifically the filament tips being sheared off to their nominal length as a final manufacturing step. Therefore, not the entirety of abrasive filaments would be in contact with the workpiece if an infeed of ae < 1 mm were chosen. To minimize this inevitable diameter deviation, brushing tools may be dressed with an abrasive workpiece or a dressing stone prior to usage. However, as part of these technological investigations, it was found that such dressing processes were highly inefficient due to the abrasive nature of bonded polycrystalline diamond, resulting in rapidly blunted dressing stones, the pores of which are clogged with polymer residue, and the polymer matrix of the filament tips becoming frayed rather than cylindrical. Hence, the industrial fine-dressing of relatively inexpensive abrasive brushing tools would be too costly in the current state of technology.

4. Discussion and Conclusions

Within the scope of this article, technological investigations with abrasive brushing tools on plane-ground ZrO2 workpieces were conducted, factorially varying the tool specification parameters grain size dg, filament diameter df, and filament length lf, as well as the process parameters brushing velocity vb, tangential feed rate vft, and infeed ae. All processes were carried out without the use of cooling lubricant and as single brushing cycles.
During the evaluation of the work result, focus was laid on minimal workpiece geometry deviation, denoted by the profile depth hb, and the reduction in the surface roughness, either in the form of the arithmetic mean roughness Ra or the more nuanced parameters reduced peak height Rpk and reduced valley depth Rvk, locating the transition between the mere removal of the roughness peaks and the total removal of the initial roughness profile, as both cases may be of use depending on whether an application requires the material to be lubricated or not.
Based on the presented work, the following conclusions can be drawn:
  • High contact forces are not necessarily achieved by stiff abrasive filaments of large filament diameters df, but instead by high filament stocking densities typical for small filament diameters df. This effect is amplified with increased brushing velocity vb due to the larger number of filament–workpiece contacts per time.
  • Due to the higher stocking density, small filament diameters df also lead to more homogeneous brushing profiles, characterized by U-shapes as opposed to W-shapes, because increased support between filaments prevents them from deflecting to the sides.
  • Brushing tools with small grain sizes dg and filament diameters df decrease the surface roughness more effectively at high brushing velocities vb. In contrast, tools with large grain sizes dg and filament diameters df decrease the surface roughness effectively at low brushing velocities vb, the grain size dg being the limiting factor, and high brushing velocities vb only increasing undesirable shape deviations.
  • The smaller grain size dg and filament diameter df are, the wider becomes the range of different brushing velocities vb to control the transition between mere reduction in the roughness peaks and total removal of the initial roughness profile. Alternatively, high tangential feed rates vft can be used at the cost of homogeneity of the brushed profile.
  • ZrO2 should be brushed at high tangential feed rates vft in order to reduce thermal damage to the tools and shape deviation to the workpieces, as material removal happens more rapidly than in comparable brushing processes on metallic workpieces. For the same reasons, the use of tools with short filament lengths lf is advised against.
  • High reduction in the surface roughness, small shape deviations, and stable work results can be achieved with large filament lengths lf and infeeds ae. However, tools with small filament lengths lf tendentially perform less effectively at large infeeds ae.
In respect of these conclusions, several recommendations can be made regarding abrasive brushing of ceramics with bonded diamond grains, laying focus on maximum roughness reduction and minimum shape deviation: the authors recommend process designs with grain sizes of dg ≥ 240 mesh, filament diameters of df ≤ 1 mm, filament lengths of lf ≥ 40 mm, preferably large tool diameters db, and tangential feed rates of vft ≥ 1000 mm/min. For minimal and uniform tool wear, the infeed ae should be chosen just large enough such that all filaments are equally in contact with the workpiece but axial filament deflection is kept to a minimum, especially with filament lengths of lf ≤ 40 mm. The brushing velocity vb can then be increased successively to achieve the desired compromise between maximum roughness reduction and minimum shape deviation. If possible, oil-based cooling lubricant should be used during industrial brushing processes in order to compensate for low thermal conductivity and to remove the fine-grained wear products of ZrO2, which are associated with minor health risks and could cause irritations of the respiratory tract if inhaled or ingested. Alternatively, wear products may be vacuumed off with a suitable ventilation system.

5. Outlook

Currently, the gathered data on tool specifications, process parameters, process forces, and work results are used to train a model, which provides prognoses on the brushing of ZrO2. This can help with the design of brushing processes and tools, in particular when coupled with discrete element modeling, which would make it possible to apply knowledge gained on the brushing of planar workpieces to complexly shaped workpieces.
In addition, further technological investigations need to be carried out, specifically on the narrow application range of brushing tools with filament length lf = 30 mm. High process forces indicate that these tools could be very effective for finishing ZrO2 if used at low brushing velocities vb, high tangential feed rates vft, and small infeeds ae.
More technological investigations should also be carried out to distinguish between the influences of grain size dg and filament diameter df, both of which were varied simultaneously within the scope of this article. In practice, this stands to reason because large grains are difficult to bond in thin polymer filaments with the goal of forming homogeneous abrasive filaments of constant Young’s moduli. Vice versa, small grains bonded in thick filaments might prove ineffective because the majority of grains and cutting edges are encompassed by polymer and therefore not partaking in the finishing process. Nonetheless, as part of future investigations, both grain size dg and filament diameter df should be treated as separate specification parameters in order to understand their individual influences. At this, the relationship between grain size dg and the workpieces’ microstructure and resistance to abrasive processing should be further examined.
So far, round brushes were used because the brushing velocity vb pertains to the entirety of abrasive filaments and infeed ae as well as brushing velocity vb can be controlled as separate process parameters, whereas, for other tool shapes, the outer filaments move at higher brushing velocity vb and the infeed ae decreases with increasing brushing velocity vb due to centrifugal forces deflecting the filaments outwards. However, round brushes are traditionally used for deburring, edge rounding, and gear flank finishing, not on plane surfaces. Therefore, other types of tool shapes should also be investigated for wider industrial applicability, for example, cup brushes, which are more common when finishing surfaces.

Author Contributions

Conceptualization, A.H. and E.U.; methodology, E.U.; software, A.H.; validation, A.H.; formal analysis, A.H.; investigation, A.H.; resources, A.H.; data curation, A.H.; writing—original draft preparation, A.H.; writing—review and editing, E.U.; visualization, A.H.; supervision, E.U.; project coordination, E.U.; funding acquisition, E.U. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the German Research Foundation (DFG) within the scope of the project “Analyse des Zerspan- und Verschleißverhaltens beim Bürstspanen mit abrasivem Medium sprödharter Werkstoffe” (“Analysis of the machining and wear characteristics during abrasive media brushing of brittle-hard materials”), project number 392312434. The authors kindly thank the funder for their support.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. Layout of a round brush, consisting of a brush body (1) and abrasive filaments (2).
Figure 1. Layout of a round brush, consisting of a brush body (1) and abrasive filaments (2).
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Figure 2. Topography of the plane-ground workpieces prior to brushing.
Figure 2. Topography of the plane-ground workpieces prior to brushing.
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Figure 3. Experimental setup: (a) Brushing machine ZP 12; (b) experimental setup with ZrO2 workpiece and round brush; (c) tactile surface measurement with Nanoscan 855.
Figure 3. Experimental setup: (a) Brushing machine ZP 12; (b) experimental setup with ZrO2 workpiece and round brush; (c) tactile surface measurement with Nanoscan 855.
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Figure 4. Determination of experimental parameters: (a) Static normal force Fn,µ and dynamic normal force Fn,σ; (b) profile width wb, profile depth hb, and profile cross-section area Ab.
Figure 4. Determination of experimental parameters: (a) Static normal force Fn,µ and dynamic normal force Fn,σ; (b) profile width wb, profile depth hb, and profile cross-section area Ab.
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Figure 5. Dependence of the normal force Fn on the brushing velocity vb under variation of grain size dg and filament diameter df: (a) Static normal force Fn,µ; (b) dynamic normal force Fn,σ.
Figure 5. Dependence of the normal force Fn on the brushing velocity vb under variation of grain size dg and filament diameter df: (a) Static normal force Fn,µ; (b) dynamic normal force Fn,σ.
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Figure 6. Dependence of the work result on the brushing velocity vb under variation of grain size dg and filament diameter df: (a) Reduction in the arithmetic mean roughness ΔRa; (b) material removal rate Qw.
Figure 6. Dependence of the work result on the brushing velocity vb under variation of grain size dg and filament diameter df: (a) Reduction in the arithmetic mean roughness ΔRa; (b) material removal rate Qw.
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Figure 7. Dependence of the tribological roughness profile characterization on the brushing velocity vb under variation of grain size dg and filament diameter df: (a) Reduction in the reduced peak height ΔRpk; (b) reduction in the reduced valley depth ΔRvk.
Figure 7. Dependence of the tribological roughness profile characterization on the brushing velocity vb under variation of grain size dg and filament diameter df: (a) Reduction in the reduced peak height ΔRpk; (b) reduction in the reduced valley depth ΔRvk.
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Figure 8. Topography of ZrO2 workpiece after brushing with grain size dg = 240 mesh, filament diameter df = 1 mm, and brushing velocity vb = 10 m/s.
Figure 8. Topography of ZrO2 workpiece after brushing with grain size dg = 240 mesh, filament diameter df = 1 mm, and brushing velocity vb = 10 m/s.
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Figure 9. Topography of ZrO2 workpiece after brushing with grain size dg = 240 mesh, filament diameter df = 1 mm, and brushing velocity vb = 30 m/s.
Figure 9. Topography of ZrO2 workpiece after brushing with grain size dg = 240 mesh, filament diameter df = 1 mm, and brushing velocity vb = 30 m/s.
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Figure 10. Topography of ZrO2 workpiece after brushing with grain size dg = 320 mesh, filament diameter df = 0.6 mm, and brushing velocity vb = 30 m/s.
Figure 10. Topography of ZrO2 workpiece after brushing with grain size dg = 320 mesh, filament diameter df = 0.6 mm, and brushing velocity vb = 30 m/s.
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Figure 11. Topography of ZrO2 workpiece after brushing with grain size dg = 80 mesh, filament diameter df = 1.4 mm, and brushing velocity vb = 20 m/s.
Figure 11. Topography of ZrO2 workpiece after brushing with grain size dg = 80 mesh, filament diameter df = 1.4 mm, and brushing velocity vb = 20 m/s.
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Figure 12. Dependence of the work result on the tangential feed rate vft under variation of grain size dg and filament diameter df: (a) Reduction in the arithmetic mean roughness ΔRa; (b) profile depth hb.
Figure 12. Dependence of the work result on the tangential feed rate vft under variation of grain size dg and filament diameter df: (a) Reduction in the arithmetic mean roughness ΔRa; (b) profile depth hb.
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Figure 13. Topography of ZrO2 workpiece after brushing with grain size dg = 240 mesh, filament diameter df = 1 mm, and tangential feed rate vb = 1000 mm/min.
Figure 13. Topography of ZrO2 workpiece after brushing with grain size dg = 240 mesh, filament diameter df = 1 mm, and tangential feed rate vb = 1000 mm/min.
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Figure 14. Brushing tool Dia28 permanently damaged by process heat, caused by a disadvantageous combination of filament length lf = 30 mm and the process parameters.
Figure 14. Brushing tool Dia28 permanently damaged by process heat, caused by a disadvantageous combination of filament length lf = 30 mm and the process parameters.
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Figure 15. Dependence of the normal force Fn on the infeed ae under variation of grain size dg and filament diameter df: (a) Static normal force Fn,µ; (b) dynamic normal force Fn,σ.
Figure 15. Dependence of the normal force Fn on the infeed ae under variation of grain size dg and filament diameter df: (a) Static normal force Fn,µ; (b) dynamic normal force Fn,σ.
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Figure 16. Dependence of the work result on the infeed ae under variation of grain size dg and filament diameter df: (a) Reduction in the arithmetic mean roughness ΔRa; (b) profile depth hb.
Figure 16. Dependence of the work result on the infeed ae under variation of grain size dg and filament diameter df: (a) Reduction in the arithmetic mean roughness ΔRa; (b) profile depth hb.
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Figure 17. Topography of ZrO2 workpiece after brushing with grain size dg = 240 mesh, filament diameter df = 1 mm, filament length lf = 50 mm, and infeed ae = 3 mm.
Figure 17. Topography of ZrO2 workpiece after brushing with grain size dg = 240 mesh, filament diameter df = 1 mm, filament length lf = 50 mm, and infeed ae = 3 mm.
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Table 1. Brushing tool specification parameters.
Table 1. Brushing tool specification parameters.
Grain Size dgFilament Diameter dfFilament Length lf
mesh (µm)mmmm
320 (29.2)0.630
240 (44.5) *1.0 *40 *
80 (185)1.450
* Default value.
Table 2. Process parameter variation.
Table 2. Process parameter variation.
Brushing Velocity vbTangential Feed Rate vftInfeed ae
m/smm/minmm
10200 *1 *
20 *5002
3010003
* Default value in fractional factorial design.
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Hoyer, A.; Uhlmann, E. Deliberate Surface Treatment of Zirconium Dioxide with Abrasive Brushing Tools. Ceramics 2022, 5, 883-900. https://doi.org/10.3390/ceramics5040064

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Hoyer A, Uhlmann E. Deliberate Surface Treatment of Zirconium Dioxide with Abrasive Brushing Tools. Ceramics. 2022; 5(4):883-900. https://doi.org/10.3390/ceramics5040064

Chicago/Turabian Style

Hoyer, Anton, and Eckart Uhlmann. 2022. "Deliberate Surface Treatment of Zirconium Dioxide with Abrasive Brushing Tools" Ceramics 5, no. 4: 883-900. https://doi.org/10.3390/ceramics5040064

APA Style

Hoyer, A., & Uhlmann, E. (2022). Deliberate Surface Treatment of Zirconium Dioxide with Abrasive Brushing Tools. Ceramics, 5(4), 883-900. https://doi.org/10.3390/ceramics5040064

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