Abstract
This study investigates the effects of different lubrication conditions on drawing force and microcup formation during micro deep drawing (MDD). Results show that graphene lubricant, in combination with TiO2 nanolubricants, has the potential to reduce friction during MDD. The peak drawing force was reduced by 15.39% when both lubricants were used together, while the use of TiO2 nanolubricant and 10.0 mg/ml graphene lubricant reduced it by 6.03% and 14.52%, respectively. The study also reveals that lubricants reduce wrinkling during the formation of microcups by minimising energy consumption during the primary formation. However, the combination of TiO2 nanolubricant and graphene lubricant can cause inhomogeneous formation on the upper part of the blank, leading to more apparent wrinkling. Overall, the study highlights the potential of TiO2 nanolubricant and graphene lubricant in reducing friction and improving microcup formation during MDD.
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1 Introduction
In the last decade, the utilisation of micro deep drawing (MDD) has become crucial in the creation of micro-scale cup or box-shaped items, a popularity attributed to its affordability, high productivity, and ease of operation [1,2,3]. In an investigation on MDD, Luo et al. [4] identified critical role of friction, significantly impacting wear patterns and the final shape due to micro-scale surface and material variations. Fejkiel and Goleń [5] applied the finite element method to simulate friction in strip drawing tests. Their research suggests increased friction, driven by surface roughness and contact area, could boost required forces, potentially diminishing final product formability. Although using lubricants is a standard method for reducing friction, their application at the micro scale presents challenges. Specifically, it may lead to premature lubricant film leakage, thereby failing to avert direct contact between the tool and the sample [6].
To avoid the leakage of the lubricant, using the nanolubricant has been a topic of much interest [7]. Alves et al. [8] formulated nanolubricants using small CuO nanoparticles (NPs). They suggested NP integration could amplify film thickness, securing adequate lubrication. Jason et al. [9] emphasised the potential of nanolubricants in reducing friction. They suggested that the introduction of NPs into the lubricant could transform sliding motion to rolling, further diminishing friction. Generally, the shape, dispersion, and size of the adding NPs are crucial to determine the performance of the lubricants [10, 11]. Research conducted by Trung et al. [12] and Esfe et al. [13] demonstrated the remarkable friction reduction capabilities of glycerol-based lubricants when infused with TiO2 NPs. Efficient dispersion of TiO2 NPs in glycerol resulted in decreased friction, leading to improved overall efficiency and product quality in manufacturing processes. Kumar et al. [14] utilised a variety of TiO2 nanolubricant concentrations in a servo system lubricating oil and investigated the physicochemical and tribological properties using a sonication process. They found that the nanoparticles were unable to significantly reduce friction at lower concentrations, and the performance of the lubricant was negatively impacted by the substantial agglomeration that occurred at higher TiO2 concentrations.
To address the issues of insufficient lubricant film and agglomeration of nanolubricants, it may be worthwhile to explore the potential of solid lubricants as an alternative. Graphene, which is a two-dimensional substance made up of a solitary layer of carbon atoms structured in a pattern akin to a honeycomb, has been studied for its potential as a solid lubricant [15,16,17]. Lin et al. [18] highlighted the crucial role of a thin graphene platelet layer in diminishing friction and wear. Besides, graphene has demonstrated great potential as a coating material for a variety of surfaces. Recent studies have shown that graphene nanosheets (GNS) can be fully attached to surface peaks and valleys, making them well-suited for use in MDD [19,20,21]. Research by Nguyen et al. [22] studied an uncomplicated approach employing an ethanol dispersion of few-layer GNS, leveraging the simplicity of air-drying this dispersion. Further efforts to enhance the performance of graphene lubricants involve its synergy with other materials to maximise its intrinsic benefits. Zhao and Ci [23], along with Patel and Kiani [24], both explored the synergistic effect of GNS and TiO2 NPs in enhancing lubrication properties. Specifically, they found that applying GNS to the exterior of TiO2 NPs effectively prevents particle agglomeration, leading to an improvement in the wear resistance and friction reduction properties of the TiO2 nanolubricant. Therefore, it is possible to combine graphene lubricant and TiO2 nanolubricant as a novel lubricant in the MDD.
This research explores the influence of graphene lubricant and TiO2 nanolubricant on the forming force and contour precision of microcups during the MDD, utilising SUS301. Four distinct lubrication conditions were scrutinised, comprising dry, 2.0 wt% TiO2 nanolubricant, 10 mg/ml graphene lubricant, and a combination of 2.0 wt% TiO2 nanolubricant and 10 mg/ml graphene lubricant. The primary objective is to reduce both the forming force and cup wrinkling, thus enhancing the final product quality. Through this, the study not only contributes towards fine-tuning the MDD process but also provides meaningful perspective on crafting superior-quality microcups.
2 Material and experiments
The research made use of SUS301 foils with dimensions of 4.0 mm × 4.0 mm (length × width) and a thickness of 40.0 ± 2.0 µm. Stainless steel was selected as the substrate material for this study due to its widespread utilisation in micro-manufacturing contexts and extensively documented formability characteristics [25]. The detailed chemical compositions of the foil can be found in Table 1.
These foils underwent annealing in an argon-filled KTL tube furnace at 980 °C for a duration of 2.0 min to enhance their crystallinity [26, 27]. The foils were heated in a furnace at a temperature rise of 10 °C/min from room temperature to the target annealing temperature. After holding at the target temperature for 2 min, the foils were cooled to room temperature in the furnace. As demonstrated in Fig. 1, the MDD apparatus is structured around three principal components: the DT-3AW press machine, a die set, and a control box. During the MDD experiments, the upper and lower dies were implemented, operating at a drawing speed of 0.1 mm/s. Figure 2 shows the components and dimensions of the die set used in MDD. The upper die contains a micro punch, while the lower die features a cavity. Approximately 0.1 ml of the nanolubricant was dipped into the die cavity in preparation for the MDD studues. The investigation employed a glycerol-based lubricant infused with 2.0 wt% TiO2 NPs. The lubricant’s formulation involved incorporating a designated amount of pure TiO2 NPs (P25), approximately 20.0 nm in diameter, into distilled water, ensuring a balanced distribution. The mixture was subjected to mechanical stirring and was subsequently treated with polyethyleneimine (PEI), at a concentration of 0.4 wt%, which acted as a dispersant. The mix was then subjected to centrifugation at a rate of 2000 revolutions per minute for a span of 10.0 min, culminating in a stable suspension. The next step involved the dropwise addition of 80 wt% glycerol to the suspension, followed by mechanical stirring at 1800 r/min for 15.0 min and ultrasonication for 15.0 min to promote comprehensive dispersion of the TiO2 NPs. The final product was a 50.0-g lubricant with a composition of 2.0 wt% TiO2, 0.4 wt% PEI, 80.0 wt% glycerol, and a remaining proportion of distilled water. The lubricants underwent ultrasonic treatment for a duration of 20.0 min prior to their utilisation in the MDD tests.
For the integration of the graphene lubricant into the MDD, a dip-coating technique was adopted, employing an ethanol-based graphene lubricant on the test specimens. The process began by blending graphene powder with undiluted ethanol, followed by a 10.0-min mechanical stirring, yielding a graphene lubricant concentration of 10.0 mg/ml. Prior to application, the lubricants were subjected to ultrasonication at 24 °C for 25.0 min. In order to apply GNS onto the steel foil, a quantity nearing 0.5 ml of the graphene-ethanol blend was carefully dispensed onto the specimen’s surface with the aid of a syringe. Once the solvent had evaporated, a thin film of GNS was mechanically coated onto the substrate. Following this, a specimen layered with GNS was positioned on the lower die, after which the MDD commenced using graphene lubricant.
The MDD tests were conducted under four lubrication conditions: dry, TiO2 nanolubricant, graphene lubricant, and a combination of TiO2 nanolubricant and graphene lubricant. Each condition was tested five times, with drawing forces measured using a force sensor in the upper die.The shape and surface texture of the resultant microcups were examined using a 3D laser microscope. Energy dispersive spectroscopy (EDS) and scanning electron microscopy (SEM) were employed to examine the remaining traces of titanium and carbon present on the microcups.
3 Results and discussion
3.1 Characterisation of TiO2 nanolubricant and graphene lubricants
The analysis of this study crucially centres on the sedimentation behaviour of 2 wt% TiO2 nanolubricant and 10 mg/ml graphene lubricant. Figure 3 presents the sedimentation behaviour of the lubricants across varying time intervals. The data highlights the impressive stability of the TiO2 nanolubricant. After a 40-h duration, the TiO2 NPs maintain their largely undisturbed state, signifying the exceptional dispersion stability of glycerol-based nanolubricants. This superior stability is a desirable property for lubricants, as it can contribute to prolonged operational efficiency. However, the behaviour of the graphene lubricant was different. As time progressed, the sedimentation of graphene became increasingly apparent. It was found that significant precipitation of graphene was observed after a relatively short duration of 18 h. Furthermore, after the 40-h duration, the graphene lubricant displayed a state of total sedimentation, indicating that all the graphene had precipitated out of the solution. This behaviour suggests that, compared to the TiO2 nanolubricant, the graphene lubricant may exhibit a shorter effective lifespan, potentially requiring more frequent monitoring and replacement.
GNS were deposited on the substrate surface through application of the graphene lubricant. Figure 4 displays the EDS maps and SEM images of a tested sample treated with the graphene lubricant. One of the key findings from the EDS maps is the confirmation of the successful application of graphene onto the sample surface. This is highlighted by the marked distribution of C across the surface, which is a primary constituent of graphene. Complementing, this is the observed distribution of Fe, corroborating the presence and successful adhesion of the graphene lubricant onto the surface. Further enhancing the understanding of the graphene coating is the high-resolution SEM imaging. Through this magnified perspective, the presence of GNS becomes evident. Within the coated region, these GNS predominantly form layered configurations; however, uncoated sections are present. These voids have the potential to diminish the lubrication efficiency of the coating, leading to inadequate performance compared to a consistently coated surface. Graphene powder showed a marked accumulation on the coated GNS, possibly from the convergence of nanosheet clusters. The graphene accumulation could influence the lubrication efficiency in the synthesis of graphene lubricant and TiO2 nanolubricants, as it may hinder TiO2 NPs sliding.
3.2 Effect of TiO2 nanolubricant and graphene lubricant on deep drawing force
During the MDD, the drawing force was recorded. Figure 5 presents the influence of four distinct lubrication conditions on this force. The force–displacement curves in Fig. 5(a) demonstrate a marked increase in drawing force as the process progresses. This pronounced escalation is a consequence of the material experiencing significant deformation. Such plastic deformation heightens the friction at the material-tool interface owing to the considerable contact area and squeeze force. Consequently, lubricant efficacy could be evaluated via quantitative analysis of peak drawing forces under these lubrication conditions. Figure 5 (b) reveals that in dry conditions, the peak drawing force reached 77.56 N. With the use of TiO2 nanolubricant, the peak drawing force drops to 72.88 N, and under the influence of graphene lubricant, it further diminishes to 66.3 N. The minimum of peak drawing force, at 65.62 N, was achieved when both TiO2 nanolubricant and graphene lubricant were simultaneously applied. Compared to the dry condition, the combination of TiO2 nanolubricant and graphene lubricant facilitated a 15.39% reduction in the peak drawing force. On the other hand, the use of TiO2 nanolubricant and graphene lubricant resulted in a reduction by 6.03% and 14.52%, respectively. The peak drawing force shows 0.87% variation between the 10 mg/ml graphene lubricant and the combined TiO2 nanolubricant with graphene lubricant. The forming process undergoes two criticle transitions beyond the displacement at peak drawing force. Firstly, the contact area between the workpiece and die cavity expands significantly as forming approaches completion. This marked growth transforms friction into a principal factor governing the process. However, in the displacement range beyond peak drawing force up to 0.93 mm, the drawing force is notably diminished with the synergistic TiO2 nanolubricant and graphene lubricant compared to sole graphene lubricant or TiO2 nanolubricant. While the peak drawing forces are comparable with 10 mg/ml graphene lubricant alone and combined TiO2 nanolubricant + 10 mg/ml graphene lubricant, the drawing force decreases more after peaking when both lubricants are used together. This suggests further that friction reduction is achieved when the GNS spread and mix with the TiO2 NPs during the drawing process. Following a displacement of 0.93 mm, the drawing force exhibits a notable escalation when employing the synergistic combination of TiO2 nanolubricant and graphene lubricant, followed by a subsequent decline towards completion. At 0.93 mm displacement, as the forming process nears completion, the combined TiO2 nanolubricant and graphene lubricant form a prominent boundary film between the material and die cavity. This boundary film withstands the rising blank pressure against the die cavity and intensified punch contact. Consequently, the drawing force exhibits a sharp increase at this advanced stage.
3.3 Lubricant effects on wrinkling
The assessment of TiO2 nanolubricant and graphene lubricant performance highlights their potential in reducing friction during MDD. Notably, these lubricants substantially affect the initiation of wrinkling across the diverse microcups. Microcup wrinkling was quantified using the measurement geometry depicted in Fig. 6. The position coordinates, reference circle, and tensile line were selected accordingly. The wrinkling angle, peak height, and valley height served to determine the wrinkling value through Eqs. 1 and 2:
where, Rai, Rpi, and Rvi are the local wrinkle value, peak, and valley at point i. θi is the wrinkle angle at point i. Rw is the overall wrinkle value for the cup.
The wrinkling is related to energy use at the blank edge. In this region, the primary deformation often manifests as circumferential compression, while the secondary deformation involves a variety of processes including bending and the thickness direction blank holding. More severe wrinkling might be observed when the energy expended in primary deformation outweighs that of the secondary deformation. Figure 7 (a) shows microcups, viewed from the mouth, produced under diverse lubrication conditions. The samples drawn with lubricants exhibit fewer wrinkles compared to those produced under dry conditions. In particular, the microcup drawn using the TiO2 nanolubricant displays the least amount of wrinkling. Figure 7 (b) shows the wrinkling value of microcups drawn under dry, TiO2 nanolubricant, graphene lubricant, and TiO2 + graphene lubricant respectively. The wrinkling values in Fig. 7(b) indicate significant wrinkling reduction from the lubricants. Under dry conditions, wrinkling value peaks at 125.52 μm. The application of graphene lubricant mitigates this to 81.56 μm, while the TiO2 nanolubricant further moderates the wrinkling value to 71.23 μm. The combined application of TiO2 nanolubricant and graphene lubricant results in a wrinkling value of 115.45 μm. Variations in the wrinkling values could be attributed to the performance of the applied lubricants. By reducing friction, the lubricant facilitates smooth blank flow into the die cavity. Reducing the contact time between the blank and blank holder can limit the energy consumed in compression, thus potentially reducing the wrinkling. However, wrinkling is more pronounced with the combined TiO2 nanolubricant and graphene lubricant versus either lubricant alone. Though the synergistic effect of the TiO2 nanolubricant and graphene lubricant maximises friction reduction, their concurrent use can induce uneven film development at the blank edge. This nonuniform interfacial layer results in inconsistent deformation along the edge, potentially contributing to the aggravated wrinkling.
3.4 Lubricant interactions in MDD
Figure 8 presents SEM and EDS analyses illustrating the morphology and elemental composition of microcup surfaces formed with TiO2 nanolubrication. This figure exhibits titanium presence concentrated at the edges and lower sections of the microcups. At the initiation of MDD, the edge of the blank undergoes a bending process and experiences substantial pressure from the blank holder [28]. Based on the open lubricant pockets (OLPs) and close lubricant pocket (CLPs) theory, OLPs are situated at the surface edge, enabling lubricant leakage. CLPs effectively conserve lubricant, reducing the pressure from the applied load. As the forming process causes surface flattening, it expands the actual contact area. The lubricant from the original contact surface and CLPs then relocates, forming a new lubrication film. Figure 9 presents a detailed illustration of the lubrication mechanism employed by TiO2 nanolubricant in the MDD. A commonly used theoretical approach for determining the thickness of a lubricating film in hydrodynamic lubrication conditions is based on the Reynolds equation.
where h is the film thickness, μ is the fluid viscosity, ρ is the fluid density, and u is the forming speed. ϕx is the pressure flow factor in x direction and hT is the average gap between two surfaces.
This formula reveals an inverse relationship between increasing pressure in the lubricated area and the corresponding film thickness. As the punch moves, it substantially increases the drawing force, which further reduces the thickness of the nanolubricant film. This reduction potentially leads to an insufficient lubricating film. Moreover, the TiO2 NPs embedded within the lubricant layer display a behaviour similar to that of ball bearings. By converting sliding movements between contact pairs into rotational movement, they further contribute to the mitigation of frictional forces during the process. Another notable capability of the TiO2 NPs is their ability to fill the surface imperfections and smooth out irregularities. By doing so, they enhance the overall performance of the lubricants, providing a more even and manageable interaction surface for the drawing process. While TiO2 nanoparticles offer distinct advantages in lubrication, their tendency towards agglomeration is evident in the SEM analysis. Agglomeration involves nanoparticles clustering into larger groupings due to attractive forces like van der Waals interactions [29]. Within the diffusion environment created by the nanolubricant, NPs initially form loose, branched agglomerates. Shearing can break these apart, but sustained stresses compact the clusters into denser aggregates. Areas of high stress concentration around defects and dislocations provide optimal conditions for accelerated agglomeration. Detailed image quantification from the SEM data discerns pronounced nanoparticle clusters spread across the surface of the microcup drawn using the TiO2 nanolubricant. The clustering changes the effective particle size distribution and reduces the total surface area for lubricant spreading and adhesion. This can deteriorate the friction-reduction and anti-wear properties.
In MDD with TiO2 nanolubricant, nanoparticle agglomeration occurs. A potential solution to this challenge is the incorporation of GNS as a solid lubricant [30]. To gain deeper insights into the role of GNS as lubricants in MDD, SEM images and EDS maps of the microcup surfaces were analysed, the results of which are presented in Fig. 10 [31]. A salient finding from this analysis is the distributed presence of C element on the microcup, which suggests a residual existence of GNS. EDS image reveals a homogeneous graphene nanosheet film covering over 70% of the formed microcup surface. Correlating this extensive coverage to reduced friction confirms the lubricating mechanism of transferred graphene coatings in MDD. High-resolution scanning electron microscopy discloses the multilayer graphene structure persisting on the microcup surface. This interfacial graphene film acts as a sliding interface, mitigating friction during MDD. Additionally, the SEM analysis discloses reduced graphite accumulation on the microcup surface following graphene-lubricated MDD. This decrease in graphite accumulation is attributed to the relative sliding of GNS between the workpiece and tool, enabled by the lubricating action. Figure 11 shows the operational mechanism of the graphene lubricant in the MDD. This sliding motion of GNS potentially allows the accumulating graphite to fill existing voids on the surface, thereby creating a more uniform and smooth interaction interface. This filling action not only helps in smoothing out the surface but also contributes to a consequent decrease in the friction coefficient. The excellent lubricating performance of graphene lubricant in MDD is attributed to the weak interlayer adhesion and low friction between GNS. The adhesive energy per unit area (W) between these graphene layers can be effectively approximated through a formula that specifically applies to weakly interacting layered materials, as follows:
where A is the Hamaker constant (~ 6.5 \(\times\) 10−20 J for graphene), d is the equilibrium separation distance between the graphene layers (~ 0.34 nm for graphene).
From this formular, graphene layers exhibit weak adhesion to each other, which allows the layers to slide over one another easily, reducing the friction and wear.
Building on the unique advantages of TiO2 nanolubricant and graphene lubricant when used separately, investigating their synergistic effects could be beneficial. As depicted in Fig. 5, the combination of TiO2 nanolubricant and graphene lubricant induces a more friction reduction compared to their individual utilisation. Figure 12 displays SEM images and EDS maps of a microcup produced with the combined lubrication of TiO2 nanolubricant and graphene lubricant. The synergistic effect of the lubricants enables uniform dispersion of the TiO2 NPs. Such improved distribution potentially enhanced the lubrication performance, in addition, the substantial reduction in the agglomeration of TiO2 NPs. Figure 13 displays the simultaneous operation of graphene lubricant and TiO2 nanolubricants in the MDD. The coating GNS prevent TiO2 clusters by providing high surface area for individual NP attachment over clumping. The graphene-NP interaction hinders inter-NP attraction and clustering. These reduced agglomerations suggest a potential for improved lubricating performance when TiO2 nanolubricant and graphene lubricants are used concurrently, relative to their individual utilisation. Nonetheless, the observed wrinkling value indicates a potential drawback to this combined method. The dispersion of GNS and TiO2 NPs on the blank rim appears uneven. When a lubricating film that merges TiO2 NPs and GNS is used, this unevenness at the forming edge may become more pronounced. While the simultaneous use of TiO2 nanolubricant and graphene lubricant enhances overall performance compared to their separate application, it also introduces a challenge of less consistent distribution of GNS and TiO2 NPs on the blank rim. As the rim undergoes compression and bending from the outset of MDD, using the combined lubricants increases the lubricant amount, which tends to be retained in this region compared to the individual lubricants. This reduced homogeneity impacts the ability of the lubricants to effectively mitigate wrinkling.
4 Conclusion
This study shows a considerable reduction in peak drawing force during MDD when utilising lubricants, compared to dry conditions. A synergistic blend of TiO2 nanolubricant and graphene lubricant delivered the most pronounced reduction in force, slashing it by 15.2% relative to non-lubricated scenarios. Notably, microcups fabricated in the presence of lubricants exhibited diminished wrinkling, with those drawn using TiO2 nanolubricant standing out for their minimal wrinkling. SEM images and EDS mappings revealed the persistent adherence of the lubricants to the surface of the micro cup. Introducing TiO2 nanolubricant to GNS promotes a more homogenous distribution of TiO2 NPs, significantly reducing their propensity for agglomeration. However, a combined lubricant approach slightly compromises the evenness of GNS and TiO2 NP distribution along the rim, leading to a subtle decline in wrinkle mitigation versus their solo applications. In summary, the simultaneous use of these lubricants may not be optimal for achieving the most uniform distribution of GNS and TiO2 NPs, but it can still improve the overall performance.
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Pan, D., Zhang, G., Jia, F. et al. Exploring the use of graphene lubricant and TiO2 nanolubricants in micro deep drawing of stainless steel SUS301. Int J Adv Manuf Technol 130, 5521–5532 (2024). https://doi.org/10.1007/s00170-023-12920-x
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DOI: https://doi.org/10.1007/s00170-023-12920-x