Wear Coefficient Research Articles

Surface melt nitriding and strengthening mechanism of plasma torched M50 bearing steel

This paper presents a new plasma torch nitriding technology for the first time to realize the surface nitriding of bearing steel for strengthening. By adjusting the plasma torch current parameters in the range of 120–160 A, M50 bearing steel was carried out at a nitriding speed of 2 s/cm2. After nitriding, the nitrogen content was increased from 0.00732 wt% in the original M50 steel up to 0.416 wt%, and the thickness of the nitrided layer was up to 2.51 mm. FeN0.076, Fe2N and Fe3N phases were formed in the steel, which was beneficial to increase the hardness and strength of bearing steel. The Vickers hardness of the original M50 bearing steel was 241 HV0.2. However, the highest surface hardness of specimen after nitriding was increased up to 778 HV0.2, which was attributed to the effect of sub-surface hardness strengthening within 2 mm from the depth of nitride surface. The average wear coefficient and the volumetric wear rate of the specimen after nitriding were decreased by about 32 % and 70 %, respectively. TEM observation showed that after nitriding, the structure of nitrided layer was martensite. The precipitates in the steel changed from large-sized, irregular and aggregated carbides (M23C6, M4C3 and M2C) to small-sized, spherical and uniformly distributed carbon‑nitrogen composite precipitates (M23(C, N)6, M7(C, N)3) in the steel sub-surface, but no obvious precipitates were formed on the surface of nitrided specimens. At depths of 1 mm and 2 mm, the size of the precipitates was reduced by about 68 % and 41 %, respectively, and the area of the precipitates was reduced from 18.4 % to 2.3 % and 3.7 %, respectively, compared to the original M50 bearing steel. It was concluded that the nitrided layer were strengthened synergistically with nitrogen solid solution, nitrogen-containing precipitates and martensite.

Prediction of micro wear depth between engineering polymers

In the polymer industry, changes in the wear area that affect surface aesthetics have emerged as a significant issue in applications where surface appearance is crucial. Even minute changes in surface height can be visible to the naked eye, necessitating the need for micro-scale wear prediction of polymers. While the Archard model has been verified for decades for metal-metal or polymer-metal contact, predicting wear between polymer-polymer contacts remains challenging due to limitations in wear measurement and wear coefficient determination. In this study, we propose a method for determining the wear coefficient for polymer-polymer contact and validate the prediction model with a component wear test on polymer parts. Wear depth, an essential indicator of wear is measured after the sliding wear test of the polycarbonate (PC) pin and Acrylonitrile butadiene styrene (ABS) copolymer plate. The wear prediction model with the obtained wear coefficient exhibits 99.7 % accuracy in comparison to the test wear depth. A component wear test is performed on engineering polymer parts, and wear prediction under test conditions is made using the proposed model. The measured and predicted wear depth of the component demonstrates a difference smaller than 5 μm, which is within the range of no change in scratch visibility. This study ensures the accurate wear prediction of engineering polymer components with affordable computational efficiency. The ability to predict polymer-polymer wear, previously unattainable, will enable several applications in the polymer industry, such as component design, scratch visibility prediction, and quality assurance.

Investigating and predicting tribological characteristics of AZ31 alloy composites reinforced with nano-Al2O3 and micro-Sn particles: a comparative analysis using CCD-RSM and ANN models

In this research, the central composite-based response surface methodology was adopted to select the dominant optimal input factors on wear behaviour and coefficient of friction of an AZ31-microtin/2 wt% nano-Al2O3 composite prepared through a stir casting process with different wt% of Sn. The input factors, such as wt% of Sn reinforcement, sliding distance, sliding speed, and applied load, were selected to determine their significant effects on the coefficient of friction and wear behaviour with 30 trial runs. Analysis of variance (ANOVA) results indicated that Sn reinforcement plays a significant role in the wear behaviour of the nanocomposites, followed by applied load and sliding distance. In addition, an enhancement in wear resistance was witnessed by the addition of Sn reinforcement with AZ31/nano-Al2O3 composites. The optimal process parameters as per the desirability approach were found to be a weight percentage of Sn: 8%, load: 20 N, sliding speed: 2 m s−1, and sliding distance: 1000 m. According to the ANN results, the predicted data is perfectly acceptable with the actual experimental response value. The R values for the training, validation, and testing phases are 0.96166, 0.96801, and 0.98914 for COF, and 0.97688, 0.99247, and 0.99331 for wear rate, indicating a robust correlation between predicted and actual values. The worn-out pin samples were used to examine the worn surface morphology and analyze the wear mechanism.

The influences of normal load and displacement amplitude on fretting wear behavior of M50 bearing steel

This study aims to obtain key parameters such as the fretting wear coefficient and wear rate of M50 bearing steel through fretting wear experiments. By integrating the Umeshmotion subroutine, a validated 3D ball-plane energy dissipation fretting wear model was established. The research explores wear behavior and transition mechanisms under different normal loads and displacement amplitudes. Experimental and finite element analyses show that fretting wear rate is negatively correlated with normal load and positively correlated with displacement amplitude. These variables influence contact stress, shear stress, and slip distance, affecting wear morphology. Results indicate that increasing normal load transitions fretting wear from gross slip to partial slip, while increasing displacement amplitude shifts it from partial slip to gross slip.

Effect of nano-additives on friction and wear characteristics of blended lubricants containing "palm oil and Al-Rashid engine oil SAE 15W_40"

The research aims to evaluate the nano-additives for oil, decreasing friction, surface roughness, and decreasing wear.Wear and friction coefficient are examined using a pin on a disk device; adding 2 wt.% nano-additives to the blended lubricant resulted in maximum friction and wear.In the current research, one of the more significant findings to emerge from this study is that the nano-additives increase viscosity and reduce wear and friction coefficient. The highest viscosity values were when adding GNP, and improving the percentage of nano-additives leads to an increase in viscosity.The results reveal that the additive was chosen as the most appropriate concentration in the blended lubricant.An experimental investigation was conducted to explore the effects of nano-additive graphene nano-powder (GNPs), molybdenum disulfide (MoS2), and titanium oxides (Tio2) in concentrations (0.5%,1%, 1.5%, 2%,2.5% ) as additives to engine oil (Al-Rashid oil) SAE 15W_40 and 5% palm oil.The results presented in the given paper may facilitate improvements in the nano-additives, resulting in increased viscosity compared to the base oil.

Friction and Wear Characteristics of Electrodeposited Ni‐Based Metallic Coatings on Cu‐Substrate under High‐Temperature Conditions

The Ni self‐lubricating coatings on copper substrates are deposited by electrodeposition using an aqueous electrolyte at room temperature. These coatings have the potential to improve the service life of Cu as a structural component in high‐temperature abrasion environments. A combination of low wear rate and coefficient of friction (CoF) is required in the coatings. Herein, friction and wear characteristics of the deposited Ni coatings are done by a ball‐on‐disc tribometer operated in the temperature range of 25–500 °C. The morphology and wear mechanism of tribo/transfer films are investigated using X‐ray diffraction, X‐ray photoelectron spectroscopy, and scanning electron microscopy. The CoF of Ni coating is substantially lower (CoF 0.37) at 500 °C than the Cu‐substrate, which is 0.79 at 25 °C. The Ni‐coating also reveals a low wear rate due to the formation of in situ oxides of Ni and Cu on sliding surfaces at high temperatures.

A study on the effects of hybrid (SIC- PSSA) nano sized reinforcement on mechanical and tribological behaviour of Al alloy-based metal matrix composite produced by ultrasonic assisted stir casting

This study focuses on the effects of hybrid reinforcement consisting of nanosized particles of Palm Sprout Shell Ash (PSSA) and silicon carbide (SiC) on the mechanical and tribological properties of the Al-Cu-Mg alloy. Hybrid reinforced composites with different weight percentages of SiC and PSSA (0:0, 0:4, 1:3, 2:2, and 4:0 wt%) were prepared using the ultrasonic-assisted bottom-poured stir casting technique. Scanning electron microscopy (SEM) and energy-dispersive x-ray spectroscopy (EDS) were used to characterize the hybrid composite made of Al-Cu-Mg alloy. The optical and SEM microstructural analyses demonstrated an even distribution of SiC and PSSA nano size reinforcements within the matrix. The EDS analysis revealed SiC and PSSA reinforcement particles in the composite. The mechanical properties (tensile, flexural, and impact strength) and wear properties (wear rate and coefficient of friction) of the composites and alloys were evaluated according to the ASTM standards. The hybrid reinforced composites outperformed the base alloy. Among all composites, the 2:2 wt% SIC and PSSA hybrid reinforced composites exhibited a significant enhancement in both tensile and flexural strength, with a 29.15% and 27.64% increase in strength, respectively. However, the inclusion of these reinforcements led to a reduction in the ductility and impact strength of the Al-Cu-Mg alloy composite. The 0:4 wt% SiC- and PSSA-reinforced composites experienced the largest reductions in ductility and impact strength, with decreases of 47.67% and 3.56%, respectively. For the 2:2 wt% SiC and PSSA composites, these reductions were 23.64% and 3.16%, respectively. The SEM analysis of the fractured surfaces of the composites tested for mechanical properties revealed evidence of both ductile and brittle fracture mechanisms in the tensile, flexural, and impact tests. The wear behaviour of the prepared samples was evaluated, and all composites exhibited superior performance compared with the base alloy, demonstrating adhesive and abrasive wear mechanisms and varying friction coefficients. Among all the composites, the 2:2 wt% SiC- and PSSA-reinforced composites exhibited high wear resistance and a lower coefficient of friction than the other fabricated composites.

Comparative investigation of structural, morphological, mechanical, tribological and electrochemical properties of TiO2 films formed on Cp-Ti, Ti6Al4V and Ti45Nb alloys

This study focuses on the comparison of structural, morphological, mechanical, tribological and electrochemical properties of TiO2 films fabricated on Cp-Ti, Ti6Al4V and Ti45Nb alloys, which are widely used in different industries. For this purpose, TiO2 films were grown on Cp-Ti, Ti6Al4V and Ti45Nb materials by anodization method. Structural, morphological and mechanical properties of the samples were determined using XRD, SEM, Micro Raman, contact angle, surface roughness and micro hardness devices. Afterwards, the samples were subjected to wear and corrosion tests using a pin-on-disc wear device and a corrosion device, respectively. Wear tests were carried out in both dry and liquid environments. In electrochemical corrosion tests, Ringer's solution was used and open circuit potential (OCP) and electrochemical polarization analyzes were performed. According to the results of XRD and Raman analyses, it was determined that TiO2 films were successfully grown on the surface of the samples. Additionally, it was observed that these films were in Rutile and Anatase phases and their peak intensities increased with increasing anodization time. While the thickest films were obtained from Ti45Nb samples, the thinnest films were obtained from Cp-Ti samples. As a result of the increase in surface roughness with anodization, surface wettability increased in all samples. It was seen that electrical resistance of the materials was highly effective on the film thickness, surface roughness and surface structures. Wear coefficients decreased in all samples for both dry and liquid wear conditions due to the increased surface hardness and anodic film thickness and the lowest wear coefficients were obtained from the Ti45Nb sample. Corrosion performance of the samples increased with anodization because TiO2 films acted as protective layers on surface of materials.

Tribological performance of the novel 3D printed PLA/Almond shell particles added PLA Single Gradient Functionally Graded Material (SGFGM)

The present study aims to develop a novel SGFGM (Single Gradient Functionally Graded Material) PLA/AlmPLA (Almond shell particles added PLA) for wear-resistant applications using 3D printing technology. The novel Almond PLA and neat PLA filaments are extruded using filament extrusion technique, the extruded filaments are used for the current study. Cylindrical-shaped sliding wear test samples are 3D printed with a 50:50 ratio of PLA and AlmPLA polymers. The tribological study is conducted to analyze the dry sliding wear resistance and frictional coefficient of the 3D printed PLA/AlmPLA samples. The samples are prepared by changing the levels of the print-factors such as Infill Density (ID), Printing Speed (PS), Layer Height (LH), and Printing Temperature (PT). The L16 Taguchi orthogonal array is developed to lessen the experimental runs and find the optimal condition for the lowest specific wear rate and co-efficient of friction of the respective PLA/AlmPLA SGFGM. The result depicts that the lowest wear and friction is observed at a LH of 0.15 mm, a PT of 210℃, a PS of 20 mm/sec, and an ID of 100 %. In the context of wear, the print-factors like PS and LH resulted in higher contribution like 28.92 % and 24.86 % while for friction, the print-factors like PT and ID developed higher influences of 31.79 % and 25.35 %. Surface features of the 3D printed samples show that the highest ID and lowest LH observe better dimensional stability at the interface, this may enhance the interfacial adhesion of the developed PLA/AlmPLA SGFGM. Overall, the developed PLA/AlmPLA SGFGM composites will be very suitable for heavy-duty industrial automobile interiors, automotive flooring trays, and bins in food packaging.

Domain adaptation neural network based prediction of real-time drill bit tooth wear

Drill bit wear reduces drilling efficiency and escalates operational risks. The drill bit tooth wear grading is a measure of lost tooth height. Accurate monitoring of drill bit tooth wear grade is crucial to adjust drilling parameters and plan timely bit replacement, significantly enhancing drilling efficiency and safety. Current real-time monitoring methods for drill bit wear exhibit limitations, particularly in accounting for variations in the geological formation and drilling parameters, resulting in poor model stability. This paper proposes an intelligent modeling approach that utilizes a Domain Adaptation Neural Network (DANN) to establish an ideal drilling rate of penetration (ROP) prediction model. By incorporating measured ROP, wear coefficients are calculated, and a relationship between wear coefficient and tooth wear grade is established, facilitating real-time monitoring of drill bit tooth wear grade. Test results on ten drill bits demonstrate that the DANN ideal ROP prediction model, leveraging data from new drill bits, enhances the model's adaptability to varying working conditions for new drill bits, thereby improving the accuracy of ideal ROP predictions. We establish relationship between calculated wear coefficients and tooth wear grades. The results indicate that the average error in inner wear grade is 0.6 (7.5%) and the average error in outer wear grade is 1.3 (16%) on an 8-point scale which demonstrates the model's effectiveness in monitoring drill bit tooth wear.

Prediction of brake pad wear and remaining useful life considering varying vehicle mass and an experimental holistic approach

Estimation of passenger car brake pad wear is considered, including real-time mass estimation to account for variations in vehicle mass. A longitudinal dynamics model is used to estimate mass, the application of the brakes, and a longitudinal braking force. Wear is modelled from brake work based on the product of the braking force and distance travelled during braking. Data is provided by standard vehicle on-board diagnostics data and a sensor fusion based on an inertial measurement unit and satellite position data, sampled from a single car with 10,200 km of on-road driving, including 31 brake pad wear measurement samples, and driving with up to 23% increased vehicle mass. The mass is accurately estimated within ±5% of the actual. Braking states determined from comparisons of measured and modelled deceleration provide accuracies of ≈91%, precisions of ≈96%, and recall rates of ≈86%, with inclusion of varying mass only resulting in minor differences. Brake work is estimated with (a) constant mass, (b) estimated mass, (c) actual mass, and (d) actual mass and braking states. Compared to (a), (b) and (c) provide 9% and 11% increased work, while (d) provides an increase of about 5% compared to (c). Wear coefficients are fitted on the initial half of the wear data considering (a), (b), and (d). Here (a) and (b) provide similar wear rates of k≈−1.22 mm/GJ, while (d) is about 5% lower. Validating on the second half of the data, (b) and (d) provide very similar wear estimates, with overall lower errors than (a). At the final sample, however, (a) provides a slightly lower absolute error, overestimating the wear by about 2%, while (b) and (d) underestimate it by about 3%. RUL, in terms of distance, is estimated across about 9,500 km of data by estimating a running ratio between cumulated work and distance. Here only (a) and (b) are considered, with (a) overestimating the RUL by 600 km at the actual wear limit, while (b) underestimates it by 190 km. A distance-based model is also considered, resulting in a constant RUL error of about 2,000 km.

Material extrusion: A promising tool for processing CoCrMo alloy with excellent wear resistance for biomedical applications

CoCrMo is a prevalent alloy in prosthesis manufacturing, characterized by its favorable biocompatibility, high resistance to corrosion and high wear-resistance. Material Extrusion (MEX) Additive Manufacturing allows control over microstructural homogeneity, minimizing material waste and enabling the selection of the geometry and size of the parts, key features in the biomedical field. Granule-based MEX has been recently developed and uses a granulated metal-polymer composite as starting material that is extruded to fabricate complex parts. The binder is eliminated and the final part is obtained after sintering. This research aims to investigate the potential of MEX as a promising route for fabricating CoCrMo parts for prosthesis manufacturing. A feedstock based on Paraffin Wax and High-Density Polyethylene as binder, was prepared with optimized solid loading, then screw based MEX printing parameters, in terms of printing temperature and extrusion flow, were explored to maximize density after sintering. The microstructure development was evaluated based on carbon content, shrinkage, density, grain size, and hardness and wear performance of the optimized samples investigated. Almost fully dense parts with a microstructure free of carbides and secondary phases has been developed, which enables an excellent wear response in terms of wear rate and wear coefficient.

Fabrication of a novel hydrophobic zinc borate/polydopamine/talc nanocomposite with sandwich-like structure for enhanced tribological properties

Two-dimensional layered materials (2DLMs) as lubricant additives have received increasing attention due to their low interlaminar shear stress, outstanding chemical stability and lubrication effects, but the extreme pressure properties, dispersion and dispersion stability in base oils are poor. Herein, a hydrophobic zinc borate/polydopamine/talc (OA-ZB/PDA/TA) nanocomposite with sandwich-like structure is prepared by hydrothermal-assisted intercalation combined with mechanical activation process using natural talc 2DLMs as substrate and oleic acid (OA) as a surface hydrophobic modifier and peeling aid. No obvious sedimentation of OA-ZB/PDA/TA occurs in the rapeseed oil after 15 d, while pure TA is significantly deposited after 12 h, showing superior dispersion and dispersion stability. The OA-ZB/PDA/TA used as a lubricant additive in rapeseed oil exhibits excellent tribological performances under the loads from 147 to 784 N, particularly, wear scar diameter and coefficient of friction reduce by 51.4 and 33.7 % under 392 N, respectively, and the maximum nonseizure load (PB) increases by 27.0 % relative to pure TA. The TA-ZB-TA "sandwich-like" structure gives full play to the synergistic lubrication between ZB NPs and TA, resulting in the sliding and rolling effects under low load, friction film and rolling effect under medium load, and friction film under high load. Our work provides a new avenue for the enhanced extreme pressure properties and dispersion stability of 2DLMs in base oil.

High-Temperature Superlubricity in MoS2/Graphene van der Waals Heterostructures.

Achieving high-temperature superlubricity is essential for modern extreme tribosystems. Solid lubrication is the sole viable alternative due to the degradation of liquid ones but currently suffers from notable wear, instability, and high friction coefficient. Here, we report robust superlubricity in MoS2/graphene van der Waals heterostructures at high temperatures up to ∼850 K, achieved through localized heating to enable reliable friction testing. The ultralow friction of the MoS2/graphene heterostructure is found to be notably further reduced at elevated temperature and dominantly contributed by the MoS2 edge. The observation can be well described by a multi-contact model, wherein the thermally activated rupture of edge-contacts facilitates the sliding. Our results should be applicable to other van der Waals heterostructures and shed light on their applications for superlubricity at elevated temperature.

Influence of surface activated nanophase Pr6O11 particles on the physio-chemical and tribological characteristics of SAE20W40 automotive lubricant

In this study, the formulation of nano lubricants is undertaken through the utilization of SAE20W40 engine oil and surface-activated praseodymium oxide (Pr6O11). An analysis is conducted on the impact of concentration profile (0.1, 0.3, 0.5 wt.%) on various physio-chemical properties, including stability, viscosity, fire and flash point, calorific value, acid value, and iodine value of the nano lubricants. The wear rate and coefficient of friction are determined through the utilization of a pin-on-disc tribometer for all the synthesized nano lubricants. A comprehensive examination on the attributes of the synthesized nano lubricants is presented by means of informative images and graphs obtained from SEM, EDS, TEM, FT-IR, UV-Vis, and DSC. It is revealed that the lubricant oil containing 0.3 wt.% of Pr6O11 demonstrates superior performance when compared to the base lubricant.

Criteria for Evaluating the Tribological Effectiveness of 3D Roughness on Friction Surfaces

A new technique for finishing the surfaces of friction pairs has been proposed, which, in combination with the original test method, has shown a significant influence of the initial roughness configuration (surface texture) on friction and wear. Two types of finishing processing of the shaft friction surfaces were compared, and it was found that the friction and wear coefficients differ by more than 2–5 and 2–4 times, respectively. Based on a new methodology for analyzing standard roughness parameters, the tribological efficiency criteria (in the sense of reducing friction and wear) are proposed for the initial state of the friction surface of a radial plane sliding bearing shaft relative to the friction direction, which is consistent with its frictional characteristics. Comparison of the laboratory test results with the surface tribological efficiency criteria showed that these criteria are very promising for controlling existing technologies and optimizing new technologies for friction surface finishing in various friction systems.

Simulation and experimental research on the cavitation phenomenon of wedge-shaped triangular texture on the surface of 3D-printed titanium alloy materials

This study explores how wedge-shaped microtexturing enhances Ti6Al4V alloy's anti-friction and wear resistance, aiming to improve titanium alloy applications. A three-dimensional model was built using Ansys Software, and optimal parameters were selected: 900 µm for the bottom edge and height, 300 µm for the texture depth. The properties of Ti6Al4V samples with wedge-shaped triangular weave were tested using the MRTR-1 friction and wear experimental machine. The wear changes on the sample surface were analyzed by scanning electron microscopy (SEM) and energy dispersive spectroscopy (EDS). The results show that the texture significantly improves the load-carrying capacity of the oil film in a three-dimensional hydrodynamic model that takes into account the cavitation effect, and the direction and depth of the texture have a significant effect on the pressure. Friction experiments showed that the wedge-shaped triangular texture reduced the average coefficient of friction and wear compared to the non-textured surface. The Ti6Al4V material with a 3D printed wedge-shaped triangular texture showed the best friction and wear resistance at a texture depth of 300 µm and in a counterclockwise orientation. The vortex structure formed within the texture is the primary mechanism that provides hydrodynamic lubrication to the friction surface and effectively retains lubricant and debris. This helps to minimize three-body wear between the friction pair.

Effects of Adding Graphite to Epoxy Resin on its Mechanical Properties and Mild-to-Severe Wear Performance at its Heat Distortion Temperature

In this study, epoxy/graphite composites were fabricated based on different weight fractions (0, 3, 6, and 9 wt.%) of graphite powder for bearing applications. The mechanical and tribological properties were assessed. Adhesive wear tests covered the severe regions, where the interface temperature (IFT) exceeded the heat distortion temperature (HDT) of the epoxy. Graphite additions improved elastic modulus and hardness but decreased fracture strain and toughness of the composites. The tribological behaviors in the mild wear region were improved as the graphite content increased. In the mild wear region, the increase in graphite additions showed a good improvement by reducing the specific wear rate (SWR) and coefficient of friction (COF). In the severe wear region, the neat epoxy and higher graphite concentrations exhibited a dramatic increase in SWR, whereas the lowest addition of 3 wt.% exhibited good wear performance. For epoxy, the reason was that IFT exceeded its HDT, while the aggregation of graphite particles was the main reason in the case of higher graphite concentrations. SEM examinations showed severe wear signs—high ploughing and fracture—when IFT exceeded the HDT. However, by reducing the IFT, graphite additions did not show such severe wear features due to the accelerated heat dissipation.

Development of a wear coefficient equation for the A A7075-B4C composite – steel interface

In this research, an attempt was made to develop a wear equation for specific wear regimes that differs with temperature, sliding velocity, applied load, and sliding distance. The experimental runs were designed with the L25 Taguchi orthogonal array, and the uniform dispersion of reinforcement was confirmed using a scanning electron microscope. The presence of reinforcement hinders dislocation movement led to an augmentation in the composites’ hardness, while an elevation in temperature resulted in a decline in hardness due to the reduction of Pierls stresses. Owing to the formation of a Mechanical Mixed Layer (MML), the wear rate decreases with addition of volume fraction of B4C particles until 7.5%, beyond this MML break down and wear rate transit from mild to severe due to the direct metal contact. At 50 °C, the wear mode was abrasive and delamination; at 150 °C, it was abrasive plastic deformation; and at 250 °C, it was plastic flow of materials. Grooves, micro pits, micro cracks, ploughing and resolidified material were the distinct feature observed on the worn surface morphology. The modified wear equation was developed by incorporating reinforcement effect, specific wear regimes, temperature-dependent factors, and functional parameters.

Enhancing tribological performance of hybrid fiber-reinforced composites through machine learning and response surface methodology

This study delves into the significant effects of sodium hydroxide (NaOH) treatment on the tribological properties of hybrid fiber-reinforced composites, specifically focusing on the combination of paddy straw (PS) and pineapple leaf (PALF) in a polyester matrix. By leveraging Artificial Neural Networks (ANNs) to predict the Specific Wear Rate (SWR) and Coefficient of Friction (COF), the research employs a grid search approach for hyperparameter optimization. This optimization process results in an optimal ANN architecture with impressive accuracy, showcasing low mean absolute error and high R-squared values of 0.991 and 0.986 for SWR and COF predictions, respectively. Utilizing the Design of Experiments (DOE), the study systematically analyzes the intricate interplay of disc speed, wear duration, and NaOH treatment percentage, with a specific focus on SWR and COF as pivotal tribological metrics. The Analysis of Variance (ANOVA) results underscore the substantial impact of duration and treatment percentage on wear characteristics. Additionally, quadratic regression models reveal nuanced correlations, highlighting the sensitivity of SWR to NaOH percentage and the influence of disc speed, duration, and treatment percentage on COF. This outcome emphasizes the efficacy of these parameters in achieving superior tribological performance in hybrid composites. Beyond contributing to a profound understanding of wear characteristics, this work introduces an innovative dimension through optimized ANN modeling, ensuring a more accurate and fine-tuned predictive model.