Optimal Parameters Research Articles

Prediction of zinc extraction from aqueous solution using iron oxide nanoparticles embedded formulation for tuning emulsion liquid membrane stability

The contamination of industrial wastewater with heavy metals poses a threat to both aquatic and human life. In this study, emulsion liquid membrane (ELM) as a great potential process was applied to remove and recover zinc (Zn) from industrial wastewater. However, the instability of ELM continues to hinder their commercialization. Consequently, this research focuses on studying the stability of water-in-oil-in-water (W/O/W) emulsion in ELM with the aid of nanoparticles in the formulation. The emulsion stability measurement based on volume and pH were applied. Additionally, a digital microscope with a camera is utilized to assess emulsion stability in terms of globule size. ELM formulation with incorporation of iron (III) oxide (Fe2O3) nanoparticles, and blended surfactant (Span 80 and Tween 80) were employed. The research investigates the optimal process parameters for W/O/W emulsion stability. This includes varying parameters such as nanoparticle concentration (0–0.08 % w/v), treat ratio (1:3 – 1:7), agitation speed (200–600 rpm), and time (1 – 5 min). The W/O/W emulsion with the highest stability was achieved at Fe2O3 concentration of 0.04 % (w/v), a treat ratio of 1:3, agitation speed, and time of 300 rpm and 3 min, respectively. Under these stable conditions, Zn extraction was predicted by simulation using a mathematical boundary breakage model of the process. The effects of the treat ratio, concentrations of synergist carrier (D2EHPA and Cyanex 302), stripping agent (acidic thiourea), and external feed phase were examined. The result showed that almost 100 % of Zn was extracted within 3 min at a 1:3 treat ratio, 0.03 M synergist carrier, and 1.37 M acidic thiourea for 50 ppm Zn concentration in the feed phase. This research highlights the tremendous potential of nanoparticle presence in enhancing emulsion stability and improving Zn extraction.

Investigation of Rosa species by an optimized LC-QTOF-MS/MS method using targeted and non-targeted screening strategies combined with multivariate chemometrics.

Plants of the Rosa genus are renowned for their pronounced and pleasant aroma and colors. The aim of this work was to develop a novel liquid chromatographic triple quadrupole time-of-flight tandem mass spectrometric (LC-QTOF-MS/MS) method for the investigation of the bioactive fingerprint of petals of different genotypes belonging to Rosa damascena and Rosa centifolia species. Central composite design (CCD) of response surface methodology (RSM) was used for the optimization of the LC-QTOF-MS/MS method. The method was validated and target, suspect, and non-target screening workflows were applied. Statistical analysis and chemometric tools were utilized to explore the metabolic fingerprint of the Rosa species. RSM revealed that the optimal extraction parameters involved mixing 11 mg of sample with 1mL of MeOH:H2 O (70:30, v/v). Target analysis confirmed the presence of 11 analytes, all of which demonstrated low limits of quantification (LOQs; as low as 0.048 ng mg-1 ) and sufficient recoveries (RE: 85%-107%). In total, 28 compounds were tentatively identified through suspect analysis. Non-target analysis enabled the generation of robust OPLS-DA and HCA models that classified the samples according to their species with 100% accuracy. A novel LC-QTOF-MS/MS method was developed and applied in the analysis of 47 R.centifolia and R.damascena flowers belonging to different genotypes.

Aerothermal Optimization of Film Cooling Hole Locations on the Squealer Tip of an HP Turbine Blade

Abstract This article presents a time-efficient method to optimize the positions of film cooling holes on a gas turbine blade's squealer tip for cooling and aerodynamic performance. A computational approach is employed for the optimization, including validations against experiments. Five discrete film cooling holes are considered, and two different blowing ratios of 0.4 and 1.0 are studied. The positions of cooling holes on the tip along the tangential direction are varied as the input parameters of optimization. The multi-objective optimization uses an algorithm with an artificial neural network for fast fitness function predictions. The best cooling configuration found by the optimization achieves a 13.43% reduction in total heat flux and a 0.4% increase in aerodynamic loss when the blowing rate is 1.0. Including the casing relative motion in the computations results in a total pressure loss coefficient increase of about 8% for both blowing ratios. For M = 1.0, imposing the casing's motion results in a 10.2% reduction in total heat transfer to the tip compared to the stationary casing. For the lower blowing rate of 0.4, the total heat flux reduction to the tip is 12.0% because of the imposed casing motion. Hence, the cooling effectiveness can be improved by employing the particular position optimization method presented in this study. The results suggest that experimental and computational heat transfer studies on cooled turbine blade tips, especially in cascade arrangements, need to consider the relative motion of the blade tip.

Optimization of a Circular Planar Spiral Wireless Power Transfer Coil Using a Genetic Algorithm

Optimization of a Circular Planar Spiral Wireless Power Transfer Coil Using a Genetic Algorithm

Optimal parameter selection for the THz-CCS system based on an incoherent light source.

Terahertz cross correlation spectroscopy (THz-CCS) systems using broadband incoherent light as the pumping source have received increasing attention from researchers in recent years. However, a comprehensive and in-depth understanding of THz-CCS is still needed to obtain a detailed optimization scheme. Here we systematically investigate the influences of the detection parameters, light propagation process, and pump source on the CCS signals. The impacts of the filter slopes and time constants in lock-in detection are revealed for optimizing the signal-to-noise ratio and bandwidth of the THz signal. By varying the optical fiber length and dispersion coefficient, the dispersion insensitivity of THz-CCS was experimentally demonstrated. The comparison of different pump sources (SLD and ASE) shows that the over-wide and non-flat pump spectrum may attenuate the CCS signal because of the energy waste brought by the photomixing process under the limited bandwidth of the photomixer. Our research may lead to a deeper understanding and further optimization of the THz-CCS system, which will promote the development and widespread application of what is to the best of our knowledge a new technique.

Coupled occupant-suspension-seat system analysis and vehicle-specific design optimization

A suspension seat is generally designed to achieve attenuation of low frequency whole-body vibration for a broad range of vehicles. Owing to the strong dependence of its vibration isolation performance on the nature of vibration excitation, an optimal performance could be realized via optimal tuning of suspension for specific classes of vehicles. In this study, a coupled occupant suspension seat model is developed and analyzed to identify optimal design parameters for different classes of vehicles. The multibody dynamic model of the air suspension seat is formulated considering kineto-dynamics of the suspension system and the elastic motion-limiters. The component models, namely, air spring with auxiliary air volume, hydraulic damper, and cushion, are identified from the laboratory-measured static and dynamic characteristics. A two-degree-of-freedom occupant model, is integrated to the suspension seat model to account for contribution due to occupant biodynamics. Model validity is examined using the laboratory-measured responses with a rigid load and a human occupant of similar body weight, and analyzed for different body weights and excitation spectra. The results suggest strong dependency of the suspension resonance frequency on nonlinear behavior of the air spring and the seated body mass. The model is subsequently employed to identify optimal coordinates of the air spring to achieve nearly constant natural frequency for a broad range of body masses. Furthermore, the model is used to identify optimal linkage and suspension design parameters with an objective to minimize the SEAT (Seat Effective Amplitude Transmissibility) for different spectral classes of earth moving machines defined in the ISO-7096 standard, while limiting the suspension travel. It is shown that the optimal coordinates of air spring could yield nearly constant natural frequency for different body weights, while damper could help limit the suspension travel, in addition to notable reductions in SEAT, ranging from 9% to 31% for different spectral classes of vehicles.

Improvement of microstructures and mechanical properties of Mg–3Zn-0.5Zr by friction stir processing

Friction stir processing (FSP) has been applied to improve the microstructure and tensile performance of as-cast Mg–3Zn-0.5Zr magnesium alloy. By FSP, grains within the stir zone (SZ) demonstrate noticeable refinement and the varied processing parameters can lead to the formation of both strong and weak textures within the SZ. Second-phase particles are broken down, dispersed, and partially re-dissolved. In addition, optimal processing parameters lead to enhanced uniformity in refined grains and increased dispersion of secondary-phase particles, resulting in improved both in microhardness and tensile properties. The sample processed at 800-200 (rpm/mm∙min−1) demonstrates an overall improvement in tensile properties compared to the base material, with yield strength, ultimate strength, and uniform elongation of 93.7 MPa, 215.0 MPa, and 25.4%, respectively.

An investigation into the thermal rectification in one-dimensional asymmetric systems

The thermal rectification phenomenon in a one-dimensional asymmetric system of two thin films with different temperature-dependent thermal conductivities is studied. Based on the traditional thermal diffusion equation, the optimization condition for maximizing the thermal rectification ratio is re-examined; a new sufficient condition is found that the interface temperatures in the forward and reverse heat transfer directions should be equal, regardless of how the thermal conductivities depend on temperature. In other words, the thermal rectification ratio is maximized when the temperature dependence of the thermal conductivity over the entire operating temperature range is fully exploited. This sufficient condition can be used to find out the optimal geometric parameters of nanostructures which determine the effective thermal conductivity. An illustration of an asymmetric system composed of monolayer graphene sheet (GS) and graphene nanomesh (GNM) is presented. This study is beneficial to the development of thermal devices such as thermal resistors, thermal diodes, and thermal logic circuits.

Dynamic performance of multi‐layered composite sandwich open cylindrical shells with double‐layered soft cores

AbstractIn this paper, the dynamic performance of Multi‐layered Sandwich Composite Cylindrical Open Shells (MSCCOS) with double‐layered soft cores is analyzed for the first time by adopting the First‐order Shear Deformation Theory (FSDT). For accomplishing this aim, vibration differential equations of MSCCOS are derived based on Hamilton's variance principle. Then, the closed‐form Navier solution is introduced to obtain the numerical results of differential equations. Subsequently, the effectiveness and accuracy are discussed by several comparisons. Ultimately, the dramatic effect of different structural and material parameters on natural frequencies and associated loss factors is investigated and described vividly. Because shear deformation and rotary inertia of all layers are considered in vibration differential equations, thin and moderately thick MSCCOS could be researched, and some interesting discoveries for the dynamic performance of MSCCOS are derived.Highlights A vibration model of five‐layered composite open shell was obtained. The optimal structure parameters maximizing the damping properties are shown. Dynamics properties of five‐layered composite open shell are presented.

LSTM Modeling for Improved Laser Welding of AISI 904 L Stainless Steel for optimal Parameter Selection

LSTM Modeling for Improved Laser Welding of AISI 904 L Stainless Steel for optimal Parameter Selection

Friction and wear analysis of basalt micro-filler loaded various epoxies and esters based thermoset polymer composites

In this study, thermoset polymers (synthetic epoxy, bio-epoxy, polyester, and vinyl ester) and basalt-reinforced (30 wt%) polymer composites were examined for their hardness and tribological characteristics. Under two levels of basalt weight percentage (0% and 30%), and three levels of load (3, 6, and 9 N), speed (100, 150, and 200 rpm), and distance (100, 150, and 200 m) parameters, the coefficient of friction (COF) and specific wear rate (SWR) are examined. According to the L18 orthogonal array design, which was created using the statistical software MINITAB-19, the tests are carried out using Pin-on-Disk Tribometer as per ASTM G99 standard. The optimum parameters are determined for COF and SWR using Taguchi statistical method. The significance of each parameter and its contribution is analyzed using the ANOVA technique. For synthetic epoxy samples, the optimum set of parameters for the COF response is 30 wt% basalt (2nd rank), 9 N load (4th rank), 100 rpm speed (1st rank), and 150 m distance (3rd rank); for the SWR response, the parameters are 30 wt% basalt (1st rank), 3 N load (2nd rank), 100 rpm speed (4th rank), and 200 m distance (3rd rank). For bio-epoxy samples, the optimum set of parameters for the COF response is 30 wt% basalt (4th rank), 9 N load (1st rank), 150 rpm speed (3rd rank), and 100 m distance (2nd rank); for the SWR response, the parameters are 30 wt% basalt (4th rank), 6 N load (2nd rank), 200 rpm speed (3rd rank), and 200 m distance (1st rank). For polyester samples, the optimum set of parameters for the COF response are 30 wt% basalt (2nd rank), 6 N load (4th rank), 200 rpm speed (1st rank), and 200 m distance (3rd rank); for the SWR response, the parameters are 30 wt% basalt (1st rank), 3 N load (4th rank), 100 rpm speed (3rd rank), and 150 m distance (2nd rank). For vinyl ester samples, the optimum set of parameters for the COF response is 30 wt% basalt (1st rank), 9 N load (3rd rank), 100 rpm speed (4th rank), and 100 m distance (2nd rank); for the SWR response, the parameters are 30 wt% basalt (2nd rank), 6 N load (3rd rank), 100 rpm speed (1st rank), and 100 m distance (4th rank). The ANOVA method demonstrated that the addition of 30 wt% basalt considerably reduced both COF and SWR. The optimum parameters that are not included in the proposed array underwent confirmation tests, and the results showed that the optimum parameters had an error rate that was less than 10% and within the bounds of statistical acceptability. According to the SEM morphology, the basalt particles reduced the material's plastic flow under different processing conditions.

Investigation of optimal machining Monel 400 superalloy considering carbon emissions using FEM, regression and ANN methods

In this study, the optimal machining parameters for the machining of Monel 400 superalloy considering carbon emission were investigated. Monel 400 stands out among nickel alloys with its resistance to high corrosive environments. First, the Johnson-Cook material model for Monel 400 was developed for FEM simulations. Then, FEM simulations were performed using seven different machining parameters, including cutting and geometric, and validated with experimental results in the literature. The obtained FEM results were trained and predicted by regression and Artificial Neural Network (ANN) analysis. With this study, the Johnson-Cook material model of Monel 400 superalloy and the optimal machining parameters considering carbon emission with different cutting and geometric machining parameters are provided to the literature. As a result, it was determined that the most effective machining parameters in terms of cutting force were 139.04% increase in depth of cut, 74.23% increase in feed and 9.57% decrease in side rake angle. In terms of carbon emission, the most effective machining parameters were found to be −338.9g reduction in depth of cut, −294.3g reduction in feed rate and −171.9g reduction in cutting speed. In terms of training and prediction of FEM results, it was observed that the regression model was 89.19% for cutting force data and 95.39% for carbon emission, while the ANN model was 98.081% for cutting force data and 99.978% for carbon emission. Optimal machining parameters were determined by ANN method. The optimal machining parameters (cutting speed, feed, cutting depth, side rake angle, back rake angle, lead angle and nose radius) of Monel 400 superalloy with the lowest cutting force and carbon emission were determined as 100 m/min, 0.15mm/rev, 0.375 mm, 0°, 5°, 0°, 0°, 0°, 0.4 mm and 100 m/min, 0.2mm/rev, 0.25 mm, −5°, 5°, 0°, 0.8 mm, respectively.

High enrichment and measurement of heterocyclic aromatic hydrocarbons from environmental waters with magnetic resorcinol-formaldehyde nanocomposites coupled with high performance liquid chromatography

Heterocyclic aromatic hydrocarbons are concerned pollutants with carcinogenic toxicity, which exist universally in various environmental matrices and have great harm to environmental and human health. In present work, magnetic resorcinol-formaldehyde composites (Fe3O4@SiO2@R–F) were fabricated via aldol condensation reaction under alkaline condition. The prepared magnetic materials were examined and analyzed with Fourier transform infrared spectroscopy and other related instruments. The Fe3O4@SiO2@R–F composites were utilized to develop an efficient magnetic solid phase extraction (MSPE) method for extracting six heteropolyclic aromatic hydrocarbons from environmental water samples including carbazole (CB), 7-methylquinoline (7-MQL), 9-methylcarbazole (9-MCB), dibenzothiophene (DBT), 4-methyldibenzothiophene (4-MDBT), and 4,6-dimethyldibenzothiophene (4,6-DMDBT). The analytes were analyzed by high performance liquid chromatography-ultraviolet variable wavelength detector (HPLC-VWD). The main factors affecting MSPE were optimized. With the optimal parameters, 9-MCB and 4-MDBT have good linearity over the concentration range of 0.1–300 μg L−1, and 7-MQL, CB, DBT and 4,6-DMDBT have good linearity over the concentration range of 0.5–300 μg L−1. The limits of detection were over the concentration range of 0.012–0.031 μg L−1. This method was successfully employed to measure real waters, and the spiked recoveries ranged from 89.4% to 99.9%. The results confirmed that the developed method was reliable, robust and could be employed as a usefully alternate way for analyzing such pollutants in waters.

Femtosecond laser one-step direct-writing high quality volume Bragg grating.

Volume Bragg grating is one-step fabricated with femtosecond laser direct-writing technology inside a high nonlinearity chalcogenide glass of As2S3. As the generated femtosecond laser filamentation effect could combined with the cylindrical lens focusing method, a two-dimensional refractive index change interface could spontaneously grow along the incident direction with either the laser pulse energy or number increasing. A number of two-dimensional refractive index change interfaces are periodically arranged to stack into a volume Bragg grating. Through periodically moving the sample stage, a grating of 2 mm × 2 mm × 1.7 mm can be fabricated in 15 minutes. And the maximum diffraction efficiency of grating reached 95.49% under the optimal parameters. This study provides a new processing strategy for femtosecond laser direct-writing volume Bragg grating with high processing efficiency and excellent structural performance.

Optimizing the five magnetic abrasive finishing factors on surface quality using Taguchi-based grey relational analysis

The effectiveness of the magnetic abrasive finishing (MAF) process relies on several factors, including the brush’s flexibility that varies across tools. This study aimed to optimize the results of five key parameters (voltage, finishing time, gap distance, rotating speed, and particle size) on surface roughness (SR) and microhardness (HV) using the grey relational analysis (GRA) method. Experimental work employed the Taguchi design with L27 trials in Minitab 17, involving five variables with three levels for each. The impact of these parameters on microhardness and surface roughness for stainless steel SUS420 bubble cups was assessed using Taguchi and regression analyses. The best roughness improvement and the most substantial enhancement in microhardness were individually obtained with the GRA method. This method assigned the best results for both surface roughness and microhardness. According to Taguchi analysis, the voltage parameter has the main or maximum parameter effect on grade, followed by gap distance, time, spindle speed, and particle size. It was found that the optimal parameters were the same as the input parameters.

Effect of tensile deformation on the optoelectronic properties of black phosphine-doped lithium atoms.

First-principles calculations based on the generalized gradient approximation gradient and the Perdew-Burke-Ernzerhof function (GGA-PBE generalized function) are carried out on the intrinsic and lithium-doped black phosphine systems to investigate the effects of different uniaxial tensile deformations on the electronic and optical properties of the systems. It is shown that the structural stability of the intrinsic and lithium-doped systems decreases with increasing tensile deformation, and all systems are most stable at 0% tensile deformation. The intrinsic black phosphazene system is a direct band gap semiconductor, and its band gap increases and then decreases with tensile deformation and reaches a maximum value of 1.086eV at 4%. Lithium doping closes the band gap of the black phosphazene system, which is metallic in nature, but the band gap is opened up when the tensile deformation is 4-6%. From the density of states analysis, the density of states of all systems is basically contributed by the s and p orbitals, with little contribution from the d orbitals, and the contribution from the p orbitals is dominant. From the analysis of optical properties, the increase of tensile deformation causes the absorption peaks of the intrinsic system to redshift then blueshift then redshift, causes the absorption peaks of the lithium-doped system to redshift, and causes the reflection peaks of all systems to redshift. In addition, lithium doping blueshifts the absorption and reflection peaks of the systems compared to the intrinsic black phosphazene system. Using the CASTEP section of the Materials Studio software, first-principle calculations based on density functional theory are done on the top-site doped lithium atoms of monolayer black phosphine under uniaxial stretching deformation in the a-direction, and the generalized gradient approximation gradients and Perdew-Burke-Ernzerhof functions (GGA-PBE generalized functionals) are used for the optimization and approximation process. The optimization parameters are set for the supercell structure: its plane-wave truncation energy is set to 400eV, its Brillouin zone K-point grid is set to 3*3*3, its self-consistent field iteration accuracy convergence value is 2.0e-6eV/atom, the convergence basis of its structural optimization is 0.02eV/ Å, and the convergence of the stress value is 0.05 gpa. During the optimization period, the interaction force between atoms is 0.03eV/ Å and the atomic displacement is less than 0.001Å. To eliminate the effect of interlayer forces, a vacuum layer with a thickness of 15Å is placed in its vertical direction (i.e., c-axis direction).

Optimal multiple tuned mass dampers for monopile supported offshore wind turbines using Genetic Algorithm

This study investigates the parametric optimization of multiple-tuned mass dampers (MTMDs) deployed along the length of a tower and monopile structure subjected to stochastic wind and wave forces. The structural components, comprising the tower and monopile, are conceptualized as Euler–Bernoulli beams. The interaction with the soil is modeled through viscoelastic springs distributed along the monopile. The rotor nacelle assembly (RNA) and blades are abstracted into a concentrated mass at the tower’s apex. The MTMDs are characterized as spring–mass–dashpot systems strategically positioned at intervals along the tower and monopile. The investigation involves a random vibration analysis under wind and wave loads, employing the Kaimal spectrum for wind and the JONSWAP spectrum for waves. The study focuses on optimizing the TMD parameters using H2 optimization techniques, with the optimization criteria being the minimization of the standard deviation of the tower’s top displacement response. Additionally, meta-heuristic algorithms like the genetic algorithm (GA) are utilized to refine the determination of these optimal parameters. A key aspect of the research includes a parametric study that reveals variations in optimal parameters as the number of TMDs is altered, maintaining a consistent total mass across the MTMDs.

An improved design for virtual synchronous generator control loop based on synergy theory

Virtual synchronous generator (VSG) technology has achieved some results in distributed generation networks and enhanced system stability. For problems that may occur in the system due to ignoring parameter linkages, this paper designs a synergistic controller that establishes the connection between the active frequency and the reactive voltage control loop based on synergy theory. As the output of the synergetic controller, the derived control law u is added to the power frequency control in the form of negative feedback. Two disturbance forms, a step disturbance, and a three-phase short-circuit fault, are set up. The conventional droop control and synergetic droop control results are compared using a MATLAB simulation system. Then, the system parameter variations were studied and analyzed, and the sensitivity of the control system with different values of parameters K1, K2, and K3 in the case of a three-phase short circuit was analyzed, which provides a reference guide for selecting parameters in later control optimization. Finally, the control effectiveness of a multi-machine VSG system was tested. The simulation results show that the proposed method has a pronounced effect on making the system stabilize quickly, which illustrates the effectiveness of this technique.

Optimum Design of Mixture Proportion and Microscopic Analysis of Cement-Stabilized Macadam by Rubber Powder and Fiber

Abstract Based on the orthogonal test method, the mixture proportion design of cement-stabilized macadam (CSM) modified with rubber powder and fiber is studied. With strength and dry-shrinkage as key indices, the influence of length of polyvinyl alcohol (PVA) fiber, fiber content, particle size of rubber powder, and rubber powder content on the performance of CSM is analyzed, and the optimum mixing proportion is determined. Based on this, the modification mechanism of CSM by rubber powder and fiber is further studied from a micro perspective. The results show that the 7-day unconfined compressive strength of CSM gradually increases with the increase of fiber length. With the increase of fiber content, the compressive strength shows a trend of first increasing and then decreasing. The 7-day unconfined compressive strength of CSM gradually increases with the increase of rubber powder mesh size and linearly decreases with the increase of rubber powder content. The 28-day average dry-shrinkage coefficient of CSM shows a trend of first decreasing and then increasing with the increase of fiber length and fiber content, and gradually increasing with the increase of rubber powder mesh number and rubber powder content. Considering the strength and shrinkage characteristics, the optimum mixing parameters are 40 mesh rubber powder, 0.5 % rubber powder, 18-mm fiber length, and 1.2-kg/m3 fiber content. Scanning electron microscopy results show that there is a gap between the rubber powder and the cement matrix, and the interface between the two is discontinuous, with weak bonding, resulting in a decrease in the compressive strength of CSM. PVA fiber can improve the toughness of CSM. It has good adhesion with cement matrix. It forms a three-dimensional network support structure in the CSM mixture and can restrain water loss in the cement matrix, thus greatly improving the cracking resistance of CSM.

Optimization of drilling parameters on delamination and burr formation in drilling of neat CFRP and hybrid CFRP nano-composites

Carbon fibre-reinforced polymer (CFRP) composites have exceptional mechanical advantages such as high specific strength and stiffness, lightweight, and high damping capacity, making them very attractive for aircraft, aerospace, automotive, marine, and sporting applications. However, various defects such as delamination, burr formation, and surface roughness are observed during the drilling of CFRP composites, which are influenced by various drilling process parameters. In this work, the drilling quality of uni-directional CFRP composites. and the hybrid Al2O3 and hybrid SiC nano-composites are investigated experimentally using different types of drills such as step drill, core drill, and twist drill, as there is a limited study done on the comparative analysis of the impact of the above drills on the delamination factor and burr area on the above CFRP and hybrid nano-composites. The design of the experiment table was developed using response surface methodology (RSM) for input process parameters of spindle speed, feed, drill diameter, and drill type. The output surface characteristics (delamination factor and burr area) of the hole were measured quantitatively using the stereo zoom optical microscope. The main effect plots, contour plots, and analysis of variance (ANOVA) were used to examine the effect of spindle speed, feed, drill diameter, and drill type on exit delamination and burr formation. The analysis of main effect plots, contour plots, and analysis of variance showcased the optimum process parameters, such as a high spindle speed of 5500 rpm, low feed of 0.01 mm/rev, and drill diameter of 4 mm. The step drill demonstrated the least damage mechanism among drill geometries, followed by the twist and core drills. The minimum drilling damage was observed for the Al2O3 hybrid nano-composite compared to the neat CFRP composites.