Factorial Design Method Research Articles

Impact of Adsorbent Weight, Time, and Temperature on Purification Efficiency with Activated Carbon

Based on data from the Indonesian Biofuel Producers Association 2022, biodiesel production will reach 10.8 billion liters, producing crude glycerol of 10-20% of the total product volume in the transesterification process. Crude Glycerol is a by-product of making biodiesel with low purity because it still contains impurities such as methanol, free fatty acids, KOH catalysts, and water. These impurity compounds must be removed so that the quality of glycerol increases and has a high selling value. Adsorption is one method that can be used to absorb these impurity compounds. This research aims to determine the effect of adsorbent weight, adsorption time, and temperature on glycerol purity levels. This experimental research uses an exploratory factorial design method to determine the most influential factors. The low level of adsorbent weight used is 9%, while the high level of adsorbent weight is 15%. The low-level adsorption time is 60 minutes and the high level is 90 minutes. The adsorption temperature used is a low level of 40℃ and a high level of 80℃. The research results showed that the weight of the adsorbent was the factor that had the most influence on the purity level of glycerol

Anchored Chitosan-Functionalized Magnetite Nanoparticles for Crystal Violet Decolorization from Aqueous Samples.

In this research, 3-(triethoxysilyl)propyl isocyanate (TESPIC) functionalized chitosan was successfully synthesized to fabricate silica-coated magnetite nanoparticles (Fe3O4@SiO2-CS MNPs). The synthesized MNPs were characterized using XRD, FT-IR, SEM, and TEM instruments and were utilized for the decolorization of Crystal Violet cationic dye (CV). The affecting variables controlling CV removal efficiency were investigated using the Taguchi fractional factorial design method (L16 array). Under the optimized removal conditions (adsorbent amount = 0.12 g (4.8 g L-1), pH = 4, ionic strength = 0.05 mol L-1 NaCl, and 30 min stirring), 98.2% of the CV dye was eliminated. The kinetic and equilibrium adsorption isotherms were explained by the pseudo-second-order kinetic (R2 = 0.999) and Freundlich isotherm models, respectively. MATLAB's fmincon function as an efficient solution was applied in order to compare the Redlich-Peterson three-parametric isotherm model with two-parametric models. Moreover, the Fe3O4@SiO2-CS-TESPIC MNPs showed recyclability and reusability for subsequent runs. The findings confirmed that these functional MNPs can be considered as proper adsorbents for the removal of CV dye from the aqueous solutions.

Effect of the Atmosphere on the Properties of Aluminum Anodizing

This study aims to quantify the effect of process parameters on the anodizing of Al6061 aluminum. To achieve this, studies on layer thickness, the porosity of the anodized surface, electrochemical techniques, X-ray diffraction, grain size estimation, and statistical analysis were conducted for three different atmospheres (without air, air, and oxygen). Parameter levels were established as follows: temperature (30 °C, 45 °C, and 60 °C), time (20 min, 40 min, and 60 min), electrolyte concentration (0.5 M), voltage (9 V), and current intensity (0.600 A). A 33 experimental design (three factors, three levels) was proposed, and mathematical models were obtained using general factorial design. The experimental design was used to determine the three most important variables in the optimal condition. A total of 27 tests were conducted using sulfuric acid electrolytic solutions, of which 12 samples were selected by the factorial design method, which simultaneously evaluates the effects of factors and their interactions in a single experiment. Measurement of porosity and oxide layer thickness was performed using scanning electron microscopy. The purity of the anodic layer formed was characterized using X-ray diffraction techniques with a vertical goniometer X-ray diffractometer. The electrochemical behavior is presented through potentiodynamic polarization curves for the anodic layer. A general factorial design and an analysis of variance (ANOVA) were conducted to establish the significant factors for layer thickness, grain size, and reaction rate. Finally, the best results and their parameters for each response are presented.

Quality Test of Hybrid Corn Seeds Based on the Position of the Seeds on the Cob with a Comparison of the Parental Ratios that Have Been Applied with Trichoderma sp.

Seeds are a means of production whose quality must be guaranteed and maintained. The seed production, quality testing is an important part. This research aims to determine the effect of seed position on the cob, ratio comparison, and application of Trichoderma sp. on the quality of hybrid corn seeds. This research was carried out in BALITSEREAL, Maros Regency from September to October 2018. This research used a 3-factor factorial design method with a Completely Randomized Basic Design with each treatment combination consisting of 3 replications. The results showed that the position of the base seed had an effect on PK 11.63cm, JAS 4.51. The position of the middle seed has an effect on BKKN 12.31g, DHL 8.19 (cm-2). A ratio of 1:2 has an effect on a JAS of 4.47. A ratio of 1:3 has an effect on a PAP of 16.84cm. Trichoderma sp. 108 has an effect on DHL 9.56 (cm-2). The interaction of the position of the middle seed with a ratio of 1:2 has an effect on BKKN 12.85g. The interaction of base seed position with a ratio of 1:2 has an effect on JAS 4.77. The interaction of base seed position with a ratio of 1:3 had an effect on DB of 99.33%. The interaction between middle seed position and Trichoderma sp. 104 has an effect on BKKN 12.89g. The interaction between seed base position and Trichoderma sp. 104 had an effect on JAS 4.83, PK 12.29cm. The interaction ratio of 1:3 with Trichoderma sp. 10 4 has an effect on BKKN 12.39g. The interaction ratio of 1:3 with Trichoderma sp.10 8 has an effect on PK 11.82cm. The interaction ratio of 1:2 with Trichoderma sp.10 8 has an effect on JAS I4.86, DHL 8.97 (cm-2). Interaction of seed base position, ratio 1:2 and Trichoderma sp. 108 has an effect on JAS 5.60. The interaction of base seed position, ratio 1:3 and Trichoderma sp.10 8 has an effect on PK 13.15cm. Interaction of middle seed position, ratio 1:3 and Trichoderma sp. 10 4 has an effect on BKKN 13.80g on the quality of hybrid corn seeds.

Comparative evaluation of solid particle erosion resistance in milled carbon fiber‐reinforced basalt fiber epoxy composites: Impact of abrasive shape variations

AbstractThe solid particle erosive wear performance of basalt fiber‐reinforced epoxy composites with the incorporation of different percentages of milled carbon fiber fillers (0–10 wt%) is evaluated under various abrasive materials (garnet and ceramic beads) and impingement angles (30° and 90°). Erosion tests have been carried out following ASTM G76 standards using a factorial design method. The data indicate that the erosion rates, crater depths, and areas of craters are all strongly dependent on erodent material type and milled carbon fiber filler ratio. Compared to ceramic beads, garnet abrasives caused severe erosion, with erosion rates reaching approximately 500 mg/g at a 90° impingement angle without milled carbon fiber fillers. Erosion by both abrasives was significantly reduced by the introduction of milled carbon fiber fillers into the basalt fiber composites, with the erosion rate decreasing to around 100 mg/g with 3 wt% milled carbon fiber fillers. The maximum crater depth was also influenced; garnet abrasives produced craters as deep as 1000 μm without fillers at 90°, which was reduced to 451 μm with 3 wt% milled carbon fiber fillers when ceramic beads were used. Of the three factors for the erosion rate and crater depth, inorganic erodent material and ratio of carbon fiber filler were prominent, but the impingement angle effect was much smaller. Among the three factors for the erosion rate and crater depth, erodent material and carbon fiber filler ratio were prominent, while the impingement angle effect was significantly less.Highlights The garnet abrasives cause more severe erosion than ceramic beads at 90°. Composites exhibit optimal erosion resistance with 3–5 wt% milled carbon fiber fillers. Filler ratio and erodent material type significantly impact erosion rates and depths. Factors affecting wear performance identified using factorial design and ANOVA.

Concrete properties with recycled coarse aggregate and rice husk ash: factorial design study

Methods of design of experiment have been implemented for the evaluation of the impact of the inclusion of recycled coarse aggregates (RCA) and rice husk ash (RHA) on strength and other chosen parameters of concrete. A specific general factorial design method, two-way analysis of variance (Anova), has been used for the current exploration considering two key factors – that is, percentage of RCA (0% and 100%) and percentage of RHA (0%, 5%, 10%, 15%, 20%, 25%, 30% and 35%). This approach has been used to assess the effect of these materials on various concrete properties, including 3, 7, 28 and 90 days compressive strength, modulus of elasticity, water absorption, volume of voids and density. The outcomes of the analysis have been presented in the form of Anova table, individual, main effect, contour and interaction plots. The results of the analysis show that the levels of RCA and RHA had a significant effect on the properties of concrete.

Effect of Machining Parameters on the Surface Roughness of Medium Carbon Steel Using Lathe Machine

The service life of a machined part depends greatly on the quality of its surface roughness value. Depending on the requirements of the intended service life, machined parts may be smooth or rough. Therefore, the quality of surface finish of machined parts must be closely monitored by technicians, artisans and operators in the shop floor in order to achieve optimal output from machining operations. The quality of surface finish obtained through machining operations are affected by a number of factors. However, the most important factors are the cutting speed, feed rate and depth of cut. These are the parameters that directly affect the characteristics of the surface roughness value of a machined component. In this study, an investigation was carried out on the effect of machining parameters on the surface roughness of 0.3% medium carbon steel using the Lathe. All other factors inherent in the cutting operations was held as constant whilst the cutting parameters were intermittently varied. For each combination of cutting speed, feed rate and depth of cut, the corresponding value for surface roughness was measured and recorded. The methods of analyses chosen for this study were artificial neural network, response surface methodology and the factorial design. Findings from the study show that the result from artificial neural network and the factorial design method exhibited similar patterns with the results of previous studies which recorded that feed rate was the most significant parameter affecting surface roughness. Also, findings revealed that increasing feed rate, cutting speed and depth of cut would result in a corresponding increase in the surface roughness values. Results obtained through response surface methodology generally did not agree with most of the findings of previous works in literature. Based on the predictive capabilities of the three models, statistical metrics indicated that the ANN model was found to be the best model with a coefficient of determination of 0.9979 and a mean square error of 0.003017. This was followed by the factorial design model with a coefficient of determination of 0.9298 and a mean square error of 0.0980. The model from the response surface methodology came last with a coefficient of determination of 0.9600 and a MSE of 0.1008. From the findings, it is strongly recommended that values of feed rate must be systematically selected during machining operations and the models developed could be used to predict the surface roughness of 0.3% medium carbon steel by technicians and artisans on the shop floor.

Optimization of Nanoemulsion Formula Containing Erythromycin with VCO and Varying Concentrations of Tween-80 and PEG-400

Erythromycin, a macrolide antibiotic is classified into Biopharmaceutical Classification System (BCS) class II which has low solubility in water. The low solubility corresponds to the bioavailability in the blood. One strategy to increase the solubility of Erythromycin is the formulation of erythromycin in nanoemulsion. This research aims to form nanoemulsion using the PIT (Phase Transition Temperature) method for obtaining the optimum formula of erythromycin nanoemulsion using virgin coconut oil (VCO) can be found with varying concentrations of Tween 80 surfactant and PEG 400 cosurfactant. The selection of the optimum formula was assisted by Design Expert software with the Factorial design method 22. The basis for determining the optimum formula is based on the results of organoleptic characterization tests, adsorption efficiency (%EE), percent transmittance, viscosity test, pH test, and stability test. The optimum formula was nanoemulsion which had a concentration of Tween 80 25% and PEG 400 25% as a desirability value of <1. The results of the optimum formula showed that the particle size was 170.6±12.8594 nm, polydispersity index (PDI) 0.403±0.04406, and zeta potential -8.8667±0.25697 mV and had an appropriate stability without phase separation during stability test.

Microfluidic preparation and optimization of (Kollicoat ® IR-b-PCL) polymersome for co-delivery of Nisin-Curcumin in breast cancer application

This work aimed to develop amphiphilic nanocarriers such as polymersome based diblock copolymer of Kollicoat ® IR −block-poly(ε-caprolactone) (Kollicoat ® IR-b-PCL) for potential co-delivery of Nisin (Ni) and Curcumin (CUR) for treatment of breast cancer. To generate multi-layered nanocarriers of uniform size and morphology, microfluidics was used as a new technology. In order to characterise and optimize polymersome, design of experiments (Design-Expert) software with three levels full factorial design (3-FFD) method was used. Finally, the optimized polymersome was produced with a spherical morphology, small particle size (dH < 200 nm), uniform size distribution (PDI < 0.2), and high drug loading efficiency (Ni 78 % and CUR 93 %). Furthermore, the maximum release of Ni and CUR was found to be roughly 60 % and 80 % in PBS, respectively. Cytotoxicity assays showed a slight cytotoxicity of Ni and CUR −loaded polymersome (N- Ni /CUR) towards normal cells while demonstrating inhibitory activity against cancer cells compared to the free drugs. Also, the apoptosis assays and cellular uptake confirmed the obtained results from cytotoxic analysis. In general, this study demonstrated a microfluidic approach for preparation and optimization of polymersome for co-delivery of two drugs into cancer cells.

PRELIMINARY STUDY OF THE AREAL ROUGHNESS PARAMETERS IN 3D PRINTING OF WORKPIECES OF PLA MATERIAL

The field of production engineering is constantly expanding, as novel manufacturing procedures are being introduced and spread in the industrial environment. The creation of complex parts by the application of some kind of printing process is a relatively new method compared to the other traditional chip-removal processes. It can be applied in various fields, where the greatest advantage can be utilized, which is the lower restrictions on the geometry of finished parts. In this paper, the surfaces on 3D printed parts are being studied. The effect of the printing speed, layer height and nozzle temperature are analysed on the surface roughness of the experimental workpieces. The experimental setup plan is designed according to the full factorial design method. The results of this preliminary study are the general determination of the affecting factors on the surface roughness.

Parametric study and optimization on exhaled particle dispersion in a ward heated by impinging jet ventilation using orthogonal-based grey relational method

During the heating season with high-frequency infection events, an appropriate ventilation method is critical to a healthy hospital environment. In this study, impinging jet ventilation (IJV) was proposed to reduce cross-infection risk in a two-bed ward for winter heating. An Eulerian-Lagrangian approach validated by experimental data was employed to simulate exhaled particle dispersion. Using a full factorial design method, under air changes per hour (ACH) of 6–15 h−1 and supply air temperature (Ts) of 24–30 °C, the effects of supply air parameters on particle dispersion was analyzed. A correlation model was subsequently established to delineate the relationship between supply air parameters and particle elimination. With an orthogonal-based grey relational method, this study compared the contribution and significance of supply air parameters and two uncontrollable factors (i.e., source location and outdoor air temperature), and then optimized the supply air parameters of IJV. The results indicated that the contribution percentage of supply air parameters was higher than 70 % for particle removal and residence time. With an appropriate supply air parameter, the airflow of IJV could comply with human body plume, enhancing removal of fine particles (≤20 μm). However, with a low Ts (lower than 26 °C) or an excessive ACH (more than 12 h−1), the number of fine particles moving upwards might be reduced. To achieve a better performance in preventing cross-infection, ACH and Ts of IJV were recommended to be set at 9 h−1 and 28 °C, respectively. The findings were expected to provide guidance for ward ventilation design.

Experimental study on Corn Straw Fiber (CSF) toughening EPS concrete

The natural Corn Straw Fiber (CSF), it has the advantages of light weight, high strength, good toughness and renewable, can delay the cracking and improve the toughness of cement-based materials. The effects of different mass fractions of CSF and Expanded-Polystyrene (EPS) particles on the compressive strength, flexural strength, splitting tensile strength and their failure modes, load-displacement curves and toughness of EPS concrete were analyzed by full factorial experimental design method. The compressive toughness index (I0, I1) and fracture energy (Gf) were defined to evaluate the effect of CSF on toughening EPS concrete. The results show that the addition of CSF can improve the compressive strength, flexural strength and cracking toughness of EPS concrete to a certain extent. The maximum compressive strength occurred in the E1F3 specimen with a CSF content of 3 % in Group I, which was 1.12 MPa, and the improvement rate was also the highest among the four groups, reaching 69.7 %. The compressive toughness index I1 also reached its maximum in the E1F3 specimen; The maximum flexural strength occurred in the E3F4 specimen with a 4 % CSF content in Group III, which was 0.885Mpa, with the highest improvement rate of 127.38 %. The maximum fracture energy Gf reached 0.827 in the E3F4 specimen. However, another additive, EPS particles, did not significantly improve the physical and mechanical properties of concrete. According to the SEM images and toughening mechanism analysis, it was discovered that tight adhesion between EPS particles and CSF with cement matrix, and the failure mode of CSF was tensile fracture, which could maximize the effect of CSF high tensile toughness. On the basis of mechanical properties and toughening effect, the relationship formulas between variable factors and strength, toughness index were fitted, and the optimal content of EPS and CSF were determined to be 1.3 % and 3 %, respectively.

Groove design optimization of femoral heads in solid hip implants: Study on stress distribution and total deformation using FEA and full factorial design

Hip replacement surgery is a common procedure that relies on the implant's design to withstand daily activities. This study aims to investigate the impact of different surface groove designs on the performance of solid hip implants using finite element analysis (FEA) and optimization techniques. The study evaluates the influence of grooves on the stress distribution and total deformation of the implant, considering three designs: no grooves, horizontal grooves, and vertical grooves on the surface of the femoral head. The simulations were conducted using Ansys Mechanical, and the optimization process was carried out using the general full factorial design method in Minitab software. The results demonstrate that the groove design significantly affects the stress distribution and wear of the implant. The vertical groove design shows better overall results, indicating the best performance. The study also evaluated the influence of force on the performance of the implant, with different load range. The optimization process using the general full factorial design method revealed that the optimal groove design was a vertical model with an optimized groove depth and width. These findings offer valuable insights into the impact of surface groove designs on the performance of solid hip implants, leading to better patient outcomes and longer implant lifespan. Overall, this study provides a comprehensive understanding of the effect of surface groove design on the performance of solid hip implants.

Factorial experimental design based on multiple factors for sensors and actuators development

Factorial experimental design based on multiple factors for sensors and actuators development

Skin Penetration of Corn Silk (Zea mays L.) Transdermal Patch on Wistar Mice Skin Using Franz Diffusion Cell

Background: Corn silk (Zea mays L.) contains many active compounds, especially the flavonoid quercetin which has pharmacological activity as an antihyperlipidemic agent by reducing cholesterol and triglyceride levels in the body. Antihyperlipidemic treatment by oral route, such as statin drugs, has the disadvantage of experiencing a first-pass effect in the liver, which reduces the bioavailability of the drug. In addition to avoiding the first-pass effect, transdermal patches can improve patient compliance because they are easy to use. Objective: This study aims to optimize the transdermal patch formula of corn silk extract and test the penetration of the optimum formula by in vitro. Method: Optimization of the formula using the Regular Two-Level Factorial Design method on Design Expert®. This study used 2 factors, namely HPMC with a concentration of 3%-4% and PVP with a concentration of 1%-2%. The optimum formula obtained was subjected to in vitro penetration test using Franz diffusion cell. Results: Based on the results of factorial design analysis, the optimum formula of transdermal patches is at HPMC and PVP concentrations of 3.49% and 1% with moisture content, moisture uptake, percentage of elongation, and folding endurance respectively of 7.79%, 4.19%, 13.26% and 470.58 fold. The optimum formula of corn silk extract transdermal patch preparation also had an optimum percent cumulative amount of penetrated flavonoids of 96.06% and flux of 6.17 µg/cm2.hour at 3 hours. Conclusion: Transdermal patch dosage of corn silk extract with HPMC and PVP concentrations of 3.49% and 1% proved to have good characteristics and penetration rate.

Prediction and Multiparametric Optimization of the Machined Surface Quality of Tool Steels in Precise Wire Electrical Discharge Machining

This article describes a proposed procedure for multiparametric optimization of the quality of machined surfaces, including mathematical models that can predict the high quality of a precisely machined surface and, at the same time, the high productivity of the process in WEDM of tool steels. The experimental research was carried out using the full DoE factorial design method, which has four technological parameters. The measured output qualitative parameter Surface Roughness (SR) and the output quantitative parameter Material Removal Rate (MRR) were evaluated using the Grey Relational Analysis (GRA) and Analysis of Variance (ANOVA) methods. Multiple Regression Models (MRM) were developed to represent the multiple responses of the investigated tool steels using a regression tool set. The results of the multiparametric optimization revealed a correlation between the input variable parameters of the electrical discharge process, while the favorable results of the observed output-dependent parameters SR and MRR were coupled to the parameters of low peak current I, low value of pulse on-time duration ton, low voltage of discharge U, and high value of pulse off-time duration toff. Based on the multiparametric optimization, key results were obtained that demonstrated the mutual dependence of the observed output process parameters. An optimum SR value of 1.50 μm was obtained with L8-level settings for the input variable parameters I, ton, U, and toff (2 A, 32 μs, 90 V, and 20 μs, respectively) and an MRR value of 12.50 mm3·min−1 was achieved.

Study on the relationship between structure and moisturizing performance of seamless knitted fabrics of protein fibers for autumn and winter

Abstract With dry weather and low humidity in autumn and winter, human skin is usually prone to dryness, even leading to itchy skin and other problems, so it is important to do a good job of skin moisturizing. The fabrics produced by using protein fiber have a certain moisturizing effect on human skin. Five types of yarn including collagen fiber, cheese protein fiber, silkworm pupa protein fiber, cashmere protein fiber, and viscose are chosen as veil materials, while nylon/spandex composite fiber is chosen as inner yarn material. Three fabric structures including the weft plain stitch, 1 + 1 mock rib, and 1 + 3 mock rib are selected for the study. Based on the full factorial experimental design method, 15 samples of seamless knitted fabrics are produced using a circular knitting machine. In order to investigate the effects of different veil materials and fabric structure of seamless knitted fabric on skin moisturizing performance, the skin moisture content test and the trans-epidermal water loss test were carried out before and after the fabric samples were wrapped around the skin of 20 participants. The results show that both the veil materials and the fabric structure have significant effects on the skin moisture content. The use of collagen yarn as the veil material and 1 + 1 mock rib as the fabric structure results in better moisturizing effects on human skin. In terms of the trans-epidermal water loss test, the fabric structure has significant effects on the results, while the veil material has no significant effect on it. However, the value of trans-epidermal water loss of the fabric with protein yarn is smaller than that of the fabric with ordinary viscose. Therefore, using cheese protein yarn as the veil material and 1 + 1 mock rib as the fabric structure results in a smaller trans-epidermal water loss value.

Machining efficiency and geometrical accuracy on micro-EDM drilling of titanium alloy

ABSTRACT In the current study, micro-electric discharge drilling (µEDD) is conducted on a titanium grade 2 alloy using a tungsten carbide (WC) tool electrode of 496 µm diameter. Capacitance, voltage, and feed rate are selected as machining variables to conduct the experiments based on the full factorial experimental design method. Overcut, material removal rate (MRR), circularity, and hole taper are considered as performance measures. Furthermore, overall evaluation criteria (OEC) is utilized for multiple-objective optimization by allotting varying and equal weight percentages to each response measure. The results of OECs are compared with a revolutionary heuristic multi-objective genetic algorithm (MOGA), resulting in a similar optimal parametric combination and close response measures are obtained. Micrographic investigation demonstrates that at lower capacitance and voltage levels, there is less burr formation, recast layer, and circularity error. Moreover, FESEM and EDS analyses are employed to investigate the machined surface topology and elemental composition respectively.

Peningkatan pH dengan Pemberian Bahan Organik pada Pengelolaan Air Asam Tambang Menggunakan Metode Passive Treatment

Mining is the process of extracting beneficial minerals from the surface of the earth that have an impact on the formation of acid mine drainage (AMD). One method of passive AMD management is passive treatment. This study used the Nested Factorial Experiment Design method. The types of organic matter used were empty fruit bunch oil palm (EFB) and cow dung, with doses of 0 Mg ha-1 (control), 50 Mg ha-1, 100 Mg ha-1, 150 Mg ha-1 and 200 Mg ha-1. Each treatment was three repeats so that 30 units of experimental units were obtained. The pH value of AMD in the untreated (control) reactor was 3.67. The initial reaction (pH) of AMD (0 days) with EFB application at a dose of 50 – 200 Mg ha-1 ranged from 3.63 – 4.28 and the initial pH of cow dung was 3.84 – 4.13. The reaction (pH) of the 1st to 4th weeks of AMD after adding EFB organic matter at a dose of 50 – 200 Mg ha-1 show a pH range (6.38 – 7.59) and cow manure at a dose of 150 – 200 Mg ha-1 show a pH (6.09 – 7.01). The conclusion are that the application of EFB organic matter on constructed wetland media for 4 weeks had a very real effect on increasing the pH of the AMD dose of 100 – 200 Mg ha-1 while cow dung 150 – 200 Mg ha-1 are the most effective against increasing pH.

Box-Behnken optimization of pin-on-disc wear test process parameters

The Full factorial and Box-Behnken Designs for determination of optimal values of wear rate using pin –on-disc wear test parameters have been successfully carried out. The parameters used are track diameter of the disc, mass difference of specimen before and after the test and speed of the disc. The mathematical model developed for the “smaller-the-better” wear rate response by the Full factorial and Box-Behnken Design methods were adjudged adequate with a pvalue of 0.025 and 0.046 respectively. Also, the adjusted R2 values of the Factorial and Box-Behnken Designs were determined to be 0.89 and 0.69 respectively. The statistical ANOVA analysis carried out on the Box-Behnken Design showed that the track diameter and the mass difference were significant with a p-value of 0.041 and 0.007 respectively. Contour plots and response surface plot developed for the factorial method and the Box-Behnken Design displayed appreciable level of similarity. It was noticed that a reduction of wear was occasioned by an increase in track diameter and speed of the disc.