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 ZrO
2. 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 d
c = 50 µm, a density of ρ
w = 5.7 kg/dm
3, a toughness of K
lc = 6.3 MPa∙m
0.5, and a Young’s modulus of E
w = 185 GPa. The workpieces themselves were of the dimensions 200 × 200 × 20 mm
3 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 b
b = 20 mm and outer diameters between d
b = 340 mm and d
b = 380 mm. Tools with large diameters were chosen based on their large number of filaments N
f 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 ZrO
2 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 d
g and filament diameters d
f were used,
Table 1. In addition, three different filament lengths l
f were investigated,
Table 1, based on the correlation between increasing filament lengths l
f and decreasing process normal forces F
n [
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 v
b, the tangential feed rate v
ft, and the infeed a
e [
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 v
b and the tangential feed rate v
ft pointed in opposite directions; however, the influence of the feed direction is estimated to be negligible due to the brushing velocity v
b being approximately three orders of magnitude higher than the tangential feed rate v
ft. 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 Q
w than worn-in brushing tools, the material removal rates Q
w of which are rapidly decreasing as tool wear sets in.
The correlation between process parameters and process forces dictates that a high brushing velocity v
b strongly increases the normal force F
n due to the large number of filament–workpiece contacts. In contrast, a large infeed a
e increases the normal force F
n distinctly less, whereas the tangential feed rate v
ft does not distinctly influence the normal force F
n [
5,
8,
9]. Typically, the normal force F
n is represented by a static mean value F
n,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 F
n should furthermore be specified by the dynamic normal force F
n,σ, representing the standard deviation of the normal force F
n 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 w
b and the profile depth h
b,
Figure 4b.
By measurement of the height of the profile z, consisting of discrete data points z
i, and subsequent determination of the profile width w
b, the profile cross-section area A
b and the material removal rate Q
w can be calculated:
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 v
b being the most influential process parameter, it was confirmed to have a distinct impact on the normal force F
n exerted by the brushing tool onto the workpiece, which means that increasing brushing velocities v
b always leads to ascending normal forces F
n,
Figure 5.
A notable result of analyzing the static normal force F
n,µ is that the highest values were not achieved by tool Dia41 with the largest filament diameter d
f = 1.4 mm, but instead by Dia35 with a filament diameter of only d
f = 1.0 mm,
Figure 5a, despite filaments of large diameters d
f being stiffer, theoretically leading to larger contact forces. This can be explained by the total number of filaments N
f counteracting the stiffness of the single filament: Whereas tool Dia41 has an approximate filament number of N
f = 7850, Dia35 consists of approximately N
f = 10,900 filaments, which are closer together due to their smaller filament diameter d
f, and thus, better supported due to a higher stocking density. This is assumed to also cause the progressive increase in the static normal force F
n,µ for tool Dia26 with the smallest filament diameter of d
f = 0.6 mm and an approximate filament number of N
f = 37,900, the total number of filament–workpiece contacts per time influencing the normal force F
n more than the individual filament stiffness.
Analysis of the dynamic normal force F
n,σ suggests dynamic tool behavior for Dia26 at brushing velocity v
b = 20 m/s, indicated by a strongly degressive trend as opposed to tools Dia35 and Dia41,
Figure 5b. High dynamic normal forces F
n,σ caused by dynamic tool behavior are assumed to have no positive influence on the work result, despite overall larger normal forces F
n, 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 v
b = 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 v
b = 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 d
g and filament diameters d
f lead to a progressive trend, meaning a more efficient roughness reduction at high brushing velocities v
b. Contrary to this, tools with large grain sizes d
g and filament diameters d
f yield average surface roughness reductions, which are largely independent of the brushing velocity v
b due to the grain size d
g 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 Q
w, large grain sizes d
g and filament diameters d
f are more efficient at high brushing velocities v
b,
Figure 6b, exhibiting an almost proportional trend. By contrast, small grain sizes d
g and filament diameters d
f lead to a progressive trend, qualitatively resembling the static normal force F
n,µ,
Figure 5a. However, if low geometrical deviations are required, high material removal rates Q
w are undesirable, as they compulsorily lead to large profile depths h
b.
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 d
g and filament diameter d
f appear to remove roughness peaks regardless of the brushing velocity v
b, the remaining peaks being newly formed and their height depending only on the grain size d
g, whereas tool Dia26 with small grain size d
g and filament diameter d
f 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 d
g and filament diameter d
f seeming suitable for deliberate valley depth adjustments by variation of the brushing velocity v
b. Dia26 with small grain size d
g and filament diameter d
f exhibits this adjustability even more, at brushing velocity v
b = 10 m/s removing none of the roughness valleys induced by the initial plane-grinding treatment and at brushing velocity v
b = 30 m/s removing nearly all.
Figure 8 shows the workpiece topography after one-time brushing with grain size d
g = 240 mesh, filament diameter d
f = 1 mm, and brushing velocity v
b = 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 h
b = 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 v
b = 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 h
b = 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 d
g = 320 mesh and filament diameter d
f = 0.6 mm, which shows a U-shaped profile instead of a W-shape despite a comparable profile depth of h
b = 10.036 µm.
Figure 11 shows an exemplary process of extreme shape deviation, induced by grain size d
g = 80 mesh, filament diameter d
f = 1.4 mm, and brushing velocity v
b = 20 m/s. The initial roughness peaks and valleys were altogether removed, instead inducing new macroscopic peaks and valleys at a profile depth of h
b = 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 v
ft, previous studies agree on a proportional response of the work result, meaning that one-time brushing at a decreased tangential feed rate v
ft has the same effect as multiple brushing cycles at a high tangential feed rate v
ft, given that both processes overall amount to the same brushing time [
4,
5,
7]. This is mostly contributed to the tangential feed rate v
ft being approximately three orders of magnitude lower than the brushing velocity v
b, leading to the tangential feed rate v
ft 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 v
ft. Nonetheless, for practical purposes multiple brushing cycles at a high tangential feed rate v
ft 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 v
ft, grain sizes d
g, and filament diameters d
f, as shown in
Figure 12a, it becomes apparent that comparably large roughness reduction is achieved at a tangential feed rate of v
ft = 1000 mm/min, whereas lower tangential feed rates v
ft do not reduce the arithmetic mean roughness Ra proportionally more, meaning that high tangential feed rates v
ft lead to more efficient brushing processes. More importantly, this applies to all investigated tool specifications, the grain size d
g being the limiting factor in achieving high roughness reduction.
In comparison, the profile depth h
b shows similar behavior,
Figure 12b, that is for small grain sizes d
g and filament diameters d
f, while tool Dia41 with grain size d
g = 80 mesh and filament diameter d
f = 1.4 mm shows a behavior more proportional to the tangential feed rate v
ft, 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 v
ft using tool Dia41, it stands to reason to increase the tangential feed rate v
ft 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 d
g = 240 mesh, filament diameter d
f = 1 mm, and tangential feed rate v
ft = 1000 mm/min. Despite the small profile depth of h
b = 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 a
e showed distinguishable effects on the work result under variation of the filament length l
f. Unfortunately, not all tool specifications proved suitable for the chosen parameter space, as all tools with filament length l
f = 30 mm were permanently damaged even at low infeed a
e = 1 mm and moderate brushing velocity v
b = 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 l
f = 40 mm and l
f = 50 mm could be properly investigated.
Analyzing the process forces under variation of infeed a
e and filament length l
f,
Figure 15a, shows two expected trends: large infeeds a
e and small filament lengths l
f each leading to increased static normal forces F
n,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 F
n,σ, which has not yet been thoroughly investigated, shows an opposite trend, meaning that large infeeds a
e and small filament lengths l
f each lead to decreased dynamic normal forces F
n,σ,
Figure 15b. Moreover, brushing processes with filament length l
f = 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 l
f = 40 mm shows maximum roughness reduction at an infeed of a
e = 2 mm, exhibiting a discontinuous trend, tool Dia36 with filament length l
f = 50 mm achieved highest roughness reduction at maximum infeed a
e = 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 h
b,
Figure 16b, which at increased infeed a
e decreases progressively for filament length l
f = 40 mm and increases degressively for filament length l
f = 50 mm, meaning in fact that brushing processes with small filament lengths l
f lead to less shape deviation at high infeeds a
e, whereas large filament lengths l
f cause less shape deviation at low infeeds a
e. However, the overall values of the profile depth h
b 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 l
f and infeeds a
e very suitable for the deliberate adjustment of the surface roughness, while simultaneously inducing only small shape deviations. Nonetheless, the exact interrelations between filament length l
f, infeed a
e, 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 l
f = 50 mm and infeed a
e = 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 h
b = 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.