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The paper was discovered and spread to the world by the Chinese Civilization about 2000 years ago. Although electronic media is used instead of paper, the use of paper continues to be used for magazines, journals, essential documents, records, and books. Besides, the use of paper for various packages is quite high. The raw material of the paper consists mainly of wood. Hence, the use of waste paper as the raw material in the manufacture of paper is growing nowadays. As a consequence, the storage, transportation, and recycling of waste paper have become an issue of waste management. The amount of paper waste in universities, one of the public institutions, was investigated in this study. Waste papers collected from the Seyitler and City Campuses of Artvin Coruh University was tracked for one year. It was calculated from the study that a total of 2,179 kg of paper waste was obtained in one year. It was found that the monthly average per person was 0.045 kg and the annual average was 0.49 kg. It was observed that the papers were collected in a temporary storage area and given to scrap paper collectors at certain periods. This study is aimed to be a pioneering study of waste paper inventory studies to be carried out in public institutions aiming at zero waste. [ABSTRACT FROM AUTHOR]

In this study, investigates recycling possibilities of office paper in archive form (stored for at least 5 years). These papers are mostly made by burning. This is to destroy tons of paper raw materials. These papers may be presented with a simple pulping or recycling with small fractionation. This will contribute greatly to the country's economy. The study will also look at the physical and optical properties of these papers. These papers are likely to lose fiber resistance and brightness due to the physical conditions (humidity, temperature) and the mushrooms and insects. In addition, loss of the shine and resistance of the fibers will come to the fore when the ink is removed from these papers. How much of these losses are in the study will be investigated. This will be done in conjunction with a number of applications to compensate for losses. With these operations, tons of waste paper raw materials will be obtained and new waste white office paper will be produced with the desired quality. [ABSTRACT FROM AUTHOR]

Today, the increase of industry rapidly, water pollution was caused Especially, the pollution of nature with random industrial wastewater were affected all living and non-living organism. For the sollution of this problem, after treatment wastewater were purified by industrial mills used intensive water. The paper mills are also the one of the industries which use the water intensive. In these mills consisted of waste sludge. This sludge is left to nature with backwashing water. It is thought that it contributes to the national economy by evaluating the sludge in the waste way. In this way, waste sludge also by entering recycle will have transformed again a helpful case for both people and nature. In this study, waste sludge obtained from Kahramanmaraş Paper Mill (KMK), which processes wastepaper, was used. After various processes, clay, calcium carbonate, starch, resin etc. Were added to this slurry to produce the material. Then, press was applied to these materials. Then these materials were dried. Finally, laboratory tests were performed for all produced materials. As a result of the tests carried out with the waste sludge added to the wastepaper mixture in the specified ratios; breakage index value and burst index value of 5% of waste sludge participation max. has reached the value. On the other hand, cobb and air permeability values decreased while ash value increased. [ABSTRACT FROM AUTHOR]

The flexible, free-standing and durable highly rough NiS/rGO composite paper electrode was prepared with a simple electrochemical deposition of NiS structures on the surface of the rGO paper electrode. NiS/rGO composite paper electrode was characterized by using scanning electron microscopy (SEM), X-ray photoelectron spectroscopy (XPS), Xray diffraction (XRD), Raman spectroscopy and electrochemical impedance spectroscopy (EIS) techniques. Asprepared NiS/rGO composite paper was used for the electrochemical detection of ascorbic acid (AA). The rough and the ball-like NiS nanostructures on the rGO paper electrode surface greatly increased the catalytic performance of the paper electrode by providing a large active surface area. AA was detected on NiS/rGO composite paper with a wide linear range from 1.0 to 800 μM, a low detection limit of 0.7 μM (S/N=3) and a high sensitivity. Besides, the electrochemical tests showed that the composite paper electrode is very stable, flexible and durable at the atmospheric conditions. [ABSTRACT FROM AUTHOR]

In this study, free-standing MnO2 coated reduced graphene oxide (MnO2/rGO) paper with high flexibility and durability was prepared. As-prepared MnO2/rGO paper was characterized by scanning electron microscopy-energy-dispersive Xray spectroscopy (SEM-EDS), X-ray diffraction spectroscopy (XRD), X-ray photoelectron spectroscopy (XPS) and Raman spectroscopy. The electrochemical behavior of dopamine (DA) was investigated on flexible MnO2/rGO paper with cyclic voltammetry and amperometry methods. Electrochemical results have shown that the flexible MnO2/rGO paper electrode exhibits excellent electrocatalytic activity to DA due to its high specific surface area. In addition, the obtained flexible electrochemical sensor showed a wide linear range, a low detection limit and a very sensitive response for the amperometric determination of DA. [ABSTRACT FROM AUTHOR]

In this study, first of all, pulping processes were applied on white A4 office paper which was applied laser printing. Then, mixtures were prepared in the proportions determined on the pulped office papers. In this pulping and mixture preparation process, different ratios of chemicals and enzymes were utilized. As chemical substances, oleic acid, sodium hydroxide, sodium silicate, calcium chloride and hydrogen peroxide were used and cellulase, xylanase, amylase and β-gluconase were used as enzyme. Then, ultrasound effect was examined. Finally, the pulp suspension was removed from the inks by flotation. At the end of all these processes, wastewater analysis was performed. [ABSTRACT FROM AUTHOR]

The additive manufacturing method is an innovative production method that enables a part designed in a computer environment to be produced directly without the need for any mold. Thanks to the practicality of the process; freedom of design, possibility of customizing the product, low waste amount, rapid creation of complex shaped structures and rapid prototyping of the product before mass production are among the production methods whose name and influence we will feel more in the future. In this paper emphasizes additive manufacturing methods, materials used and trending applications. Additive manufacturing methods; Innovative applications in aerospace, biomedical, automotive and construction sectors are discussed. Current developments related to metal, polymer, ceramic and composite materials used in additive manufacturing are presented in the study. In addition, the obstacles to the development and dissemination of the additive manufacturing method are also mentioned in the article. In paper, the improvements made in the field of additive manufacturing, the advantages of the method and the obstacles in front of it were discussed and an overview of the future application areas was presented. [ABSTRACT FROM AUTHOR]

The need for energy in the world is increasing day by day with the advancements in technology. For this reason, there has been a trend towards renewable energy sources that are less harmful to the environment. Among renewable energy sources, solar energy (photovoltaic modules) is often preferred. The disadvantages of photovoltaic modules are that they negatively affect the stability (frequency, voltage) of electricity grids and have intermittent generation due to temperature, radiation and partial/full shading. This paper discusses maximum power point tracking (MPPT) in photovoltaic systems under partial shading conditions. In this study, the incremental conductance method (INC), one of the traditional techniques, and the gray wolf optimization (GWO) algorithm are compared in a Matlab/Simulink simulation environment. The output power efficiency of the system is 98.24% for GWO algorithm and 93.72% for INC method. The system output power is determined to have a settling time of 0.08 s and 0.18 s for the GWO algorithm and the INC method, respectively. These results demonstrate the success of GWO algorithm over INC method. Additionally, the study investigates how the change in the number of wolves (particle) in the GWO algorithm affects the output of the photovoltaic system. When the number of wolves is 3, 4, 5, the average output power values obtained are 2413 W, 2196.4 W, 1536.8 W, and 2349 W, respectively. When the number of wolves exceeds 3, oscillations in output power increase and efficiency decreases. [ABSTRACT FROM AUTHOR]

In this study; a flexible, self-contained and durable PtCu/reduced graphene oxide (iGrO) hybrid paper was synthesized and used for the electrochemical detection of p-nitrophenol (PNP). PtCu/iGrO hybrid paper was fabricated through electrodeposition of PtCu composite structure on iGrO paper electrode. The obtained PtCu/iGrO hybrid paper was characterized by field emission scanning electron microscopy (FESEM), X-ray diffraction spectroscopy (XRD), X-ray photoelectron spectroscopy (XPS), Raman spectroscopy, electrochemical impedance spectroscopy. The morphological analysis of PtCu/iGrO hybrid paper showed that flower-like nanostructures formed on the iGrO electrode surface consist of numerous sharp-edged nano layer of PtCu. PtCu/iGrO hybrid paper electrode demonstrated high electrocatalytic performance compared to iGrO paper and exhibited a wide linear range (0.08-760 μM) and a low detection limit (0.022 μM) for the determination of PNP. The PtCu/iGrO hybrid paper sensor also showed high recovery values for PNP detection in tap water. The hybrid paper sensor prepared with a practical and easy-to-apply method exhibited mechanically flexible and durable properties. Moreover, stability tests of PtCu/iGrO paper displayed that this hybrid electrode is an important candidate for high-performance flexible sensor applications. [ABSTRACT FROM AUTHOR]

In this paper, it is aimed to express more accurately the intuitionistic fuzzy values expressed by the decision-makers for intuitionistic fuzzy parameterized intuitionistic fuzzy soft sets. For this purpose, virtual intuitionistic fuzzy parameterized intuitionistic fuzzy soft sets are proposed by defining the concepts of virtual lower and upper intuitionistic fuzzy approaches. Moreover, the basic set operations for this hybrid set type are examined together with their associated properties. In addition, a decision-making algorithm focusing on virtual intuitionistic fuzzy parameterized intuitionistic fuzzy soft sets is constructed. Finally, an analysis of the obtained results was made. [ABSTRACT FROM AUTHOR]

In this paper, fuzzy parametrized intuitionistic fuzzy soft (briefly FPIFS-) set theory, which is a generalization of virtual fuzzy parametrized intuitionistic fuzzy soft (briefly VFPIFS-) sets proposed for uncertainty problems, is given and some important properties of it are examined. In addition, an uncertainty problem was exemplified and the best object was selected by giving a decision-making approach for VFPIFS-sets. Finally, a comparative analysis was done for both mathematical models. [ABSTRACT FROM AUTHOR]

Recent developments in intelligent low-power sensors, microelectronics, system-on-chip design, integrated circuits and wireless communication have allowed the realization of a Wireless Body Area Network (WBAN). A WBAN is a combination of miniaturized, low-power, invasive/non-invasive lightweight wireless sensor nodes that monitor the human body functions and the surrounding environment. In these networks various sensor nodes are attached on clothing or on the body or even implanted under the skin. The wireless network and the wide variety of sensors offer numerous new, practical and innovative applications to improve health care and the quality of life. With the help of WBAN the patient experiences a greater physical mobility and is no longer compelled to stay in the hospital. In this paper the skin communication channel is modelled considering the propagation of Electromagnetic (EM) waves in skin. The propagation characteristics are investigated using a theoretical approach. More specifically, the paper sets the theoretical background for examining the path loss of EM waves propagating in skin in the GHz range and determines the incurred path loss and Bit Error Rate (BER). The theoretical analysis and the simulation results prove the feasibility of wireless communication in the 30 GHz - 300 GHz band in skin and highlight several important aspects in this field. [ABSTRACT FROM AUTHOR]

In this paper, controlling the number of patients who are required to stay in hospitals due to covid-19 through backstepping controller is considered by using data from Italy. States and local administrations want to prevent the spread of the outbreak, with measures such as social distance measures, curfews. Even though the absolute control of the pandemic can be reached through absolute isolation, this solution will cause excessive negative effects on social life and economy. Therefore, each country/city would like to control the outbreak, at least not exceeding its bed capacity. The results of this article has potential of serving as a reference for city administrators or general administrators to manage the outbreak. Based on the current health condition of the people due to the epidemic, society is divided into eight sections in this article. One of these eight population groups is the ones whose hospital treatment is mandatory. With the back-stepping controller, it is proven that the number of patients who need to be hospitalized can be kept below the current bed capacity. Simulation results also show that the proposed controller is effectively controls the patients those need to be hospitalized. [ABSTRACT FROM AUTHOR]

In this paper, an improved hybrid powertrain is proposed for extending the lifetime of original drive shaft of the Metrobuses that are being actively used in İstanbul traffic. A new power management method for the proposed powertrain is developed and the results of the method are analyzed along the study. The aim of the study is decreasing the operating load of the original axle and extend its lifetime by mounting two additional electric machines to one of the non-driven axles. The power control method which calculates the correct timing of the machines when to be used as a motor/generator or when to activate and deactivate them, should be tested in simulation environment first. In order to get realistic results from simulations, the models must be reliable. In order to develop the single-track dynamic model of the vehicle, experimental data is collected under real driving condition and is integrated into the model. Besides this, the collected road slope and metrobus acceleration data provides an infrastructure for performance simulations. On the other hand, the throttle-torque map is very critical to understand the driver's torque request. In this study, derivation of the torque map from experimental data is also explained. Finally, a rule based power management algorithm for lifetime extension is developed along the paper and its results are analyzed at the end of the work. According to the simulation results, the lifetime of the driving shaft of the original metrobus is extended by 75.86% in proposed hybrid powertrain. [ABSTRACT FROM AUTHOR]

In this paper, we investigate the suborbital graphs for the normalizer of Γ_0 (N) in PSL(2,R), where N will be of the form 2^5 p^2, p is a prime and p > 3. It is known that the action of the normalizer Nor(N) on the extended rational numbers Q ̂ is non transitive. The edge conditions of the graphs arising from this non transitive action and then using these edge conditions, which kind of circuits the suborbital graphs have are investigated. Finally, we show that these circuits are only quadrilaterals. [ABSTRACT FROM AUTHOR]

Social media users have been growing exponentially in recent years. This growth has evoked researchers and manager to analyze the social media and customer sentiment because it offers significant opportunities to advance business intelligence in supply chain. However, supply chain members are struggling in understanding the general sentiments in today’s business world. Therefore, various methods are used to provide valuable insights in supply chain. In this paper, SentiStrength is used to analyze customer reviews related to one type of product. The output of SentiStrength and demands of the product are then fed into Artificial Neural Network to forecast the customer demands. After, nondominated sorting genetic algorithm II (NSGA-II) based simulation optimization is employed to solve the inventory routing problem using forecasted customer demands. The results of the study demonstrated that the use of hybrid methodology containing sentiment analysis can successfully analyze the inventory routing problem. [ABSTRACT FROM AUTHOR]

In this paper, the grand Lebesgue sequence spaces defined by Rafeiro vd. (2018) were generalized using modulus function. Also, some topological and inclusion properties of these spaces were examined. [ABSTRACT FROM AUTHOR]

In the nowadays, kaolin group clays have a wide range of areas of utilization such as paper, cement, paint, pharmaceutical, ceramic and plastic industries. It is a raw material with high economic value in especially cement and ceramic industries in Turkey. The field and laboratory processes are crucial for the detection of such sites and for the improvement of already mining operated sites. In recent years, mineral mapping studies have been carried out with satellite data and useful results have obtained that contribute to the mining process. In this study, it was carried out to determine the performance of satellite data in argillisation areas. The study area is located between Zara and SuÅŸehri Towns of Sivas Province and include a kaolin deposit. In the petrographic and XRD investigations, which were also carried out in representative samples taken from the study area, kaolinite, illite, smectite and chlorite clays were determined. In the study, kaolinite, illite, smectite and chlorite distributions were determined by using the SAM (Spectral Angle Mapper) and MF (Matched Filtered) spectral classification methods in the argillization areas. For kaolinite, it has been determined that the results obtained from satellite data substantially coincided with the field study data. Furthermore, it has been observed that MF method gives better results in illite, chlorite and smectite distributions than SAM method. [ABSTRACT FROM AUTHOR]

Agriculture is a large and serious sector developing on a global basis. An important research subject in agriculture is the pesticide applications performed by spraying method. One of the objectives of spray application technologies is to provide using at the recommended dosage of pesticides at the right time by using the appropriate application techniques in order to reduce the level of pest or disease factors at crop production. In this study, the effects of flow parameters on droplet diameter of single hollow-cone nozzle used on conventional sprayers were investigated. For this purpose, three different nozzle-surface distances (70 cm, 85 cm, 100 cm), three different operational pressure (6 bar, 8 bar, 10 bar) and three different nozzle orifice diameters were determined as flow parameters under conditions of constant speed and spray angle. The experiments were carried out in duplicate at different times. After spray application, the droplet spot images obtained from the water sensitive paper surfaces were processed and the volumetric diameter and homogeneity values were determined. In order to examine the effect of the flow parameters on droplet diameter, the charts were drawn and the variations were interpreted. In general, the characteristic droplet diameters were decreased and the homogeneity coefficient increased on the conditions of the same nozzle orifice diameter and spray distance as the operational pressure increased. Comparing nozzle orifice diameters for the same operational pressure and spraying distance, it was observed that the droplet diameter increased for the nozzles with large orifice diameter and the homogeneity value deteriorated. [ABSTRACT FROM AUTHOR]

In this paper, definitions of the inner and outer measure of non-Newtonian bounded sets are given. Also, Lebesgue measure of non-Newtonian sets is defined and related theorems are given. [ABSTRACT FROM AUTHOR]

In this paper, fuzzy logic based collector station decision approach is proposed in order to provide lossless data transmission in underground wireless sensor networks. With the aim of allowing the sensor nodes to transmit energyefficient lossless data, the decision of the collector station is performed with the help of fuzzy logic. The simulation model of the proposed underground wireless sensor network was performed using Riverbed software. Fuzzy logicbased decision processing was performed by using Matlab software. In the fuzzy logic system; collector station decision output value is obtained by evaluating energy, depth and usage input parameters. The proposed underground wireless sensor network performance is evaluated by examining the throughput and energy consumption parameters which are commonly used in wireless sensor networks. When the results are examined to evaluate the proposed sensor network performance, it is revealed that lossless data transmission is performed in underground wireless sensor networks with maximum throughput performance and average energy consumption. Thanks to the proposed fuzzy logic system; the most suitable collector station is selected for wireless sensor networks and energy consumption is kept at the lowest possible level. [ABSTRACT FROM AUTHOR]

In this paper, we use Expectile-based Value at Risk (EVaR) measure as an objective function to determine newsvendor solutions with risk considerations. When the newsvendor makes a decision with risk-driven behavior, the optimal order quantity deviates from the classical expected profit-maximizing quantity. Our EVaR minimization model extends the classical newsvendor model through a one-parameter risk measure and facilitates trade-off analysis between the capital to be held in reserve and the expected profit. To illustrate the proposed model, we present optimal solutions based on different levels of risk aversion and risk-taking for three different demand distributions. [ABSTRACT FROM AUTHOR]

Leveraging machine learning techniques in NLP domain has been a very hot research field due to the advancements in artificial intelligence area. Despite the popularity of this field, there is no known study on application of ML techniques on old Turkish language. This study aims to fill in this gap where 32000 pages of text has been downloaded from the websites of Ministry of Culture and a two-layer neural network model has been built on top of them to discover the semantic similarities between Turkish words in old Turkish language. The algorithm has been run with different parameters such as window size, dimension size, sampling size etc. and the produced vector spaces are uploaded into public servers for the purposes of enabling a RESTful API based query interface. Also a web UI has been created to provide a querying mechanism for regular users. The services that are developed can be used for two different purposes. One of them is to integrate these services into existing old Turkish language dictionary websites that are made available by third party providers as well as other institutions such as Ministry of Culture and Turkish Language Institution. Secondly, the developed services are intended to be used for mitigating the translation errors made during the translation of old Turkish texts into modern Turkish language in the areas of history and Turkish literature. Also enabling these services for public use will encourage other researchers to pursue this academic work and compare their results with the experimental results presented in this paper to make further improvements in this field. [ABSTRACT FROM AUTHOR]

It is so important to determine outlier, influence and leverage points in multiple linear regression analysis for the accuracy of statistical inferences. To detect the influence observations, Nurunnabi et al. (2016) proposed a robust influence distance (ID). However, the determination of observations that would not be used in the calculations of this distance are based on non-robust statistics. Thus, it is affected by outliers. In this paper, it is suggested that influence distance based on robust estimators (RID) could be used for detecting influence observations. Moreover ID and RID's which were used to determine outliers, are applied to two known data sets and are compared based on simulation studies. The results show that RID based on RLS performs the best. [ABSTRACT FROM AUTHOR]

In this paper, we report a theoretical study on structure parameters of (C6H11N2)[ZnBr3(C6H6N2O)] (1a) molecule. Molecular geometry, harmonic vibration waves, molecular frontier orbital (HOMO-LUMO) energies, mulliken, APT and NBO atomic charges and molecular electrostatic potential (MEP) surfaces were calculated for molecule 1a by using the Gaussian program. All of the theoretical calculations calculated in the Gaussian program were calculated using B3LYP and HSEH1PBE methods at 6-311 ++ G (d,p) set. [ABSTRACT FROM AUTHOR]

Copper (Cu) based composites, especially compositions containing refractory metals such as tungsten (W) or molybdenum, exhibit superior physical and mechanical properties over a wide range of temperatures compared to conventional materials. Due to their high hardness, good electrical and thermal conductivities, and excellent arcerosion resistance; Cu-based refractory metal reinforced composites are frequently used as electrical contact materials. Although, it is possible to produce aforementioned composites via ball milling technique, this method also contains several parameters that have to be investigated in detail, such as process control agent, milling speed, ball-topowder weight ratio, milling time, and so on. In this paper; the effect of process control agent, which is one of the most important parameters in ball milling technique, on production of Cu-based W-reinforced composite powder was investigated. For this purpose, two different liquid process control agents, namely ethanol and methanol were separately added to powder mixtures containing elemental Cu and W, and then ball milling experiments were performed using a two stationary planetary-type ball mill. The effects of ethanol and methanol additions on particle size and morphology of Cu25W powder mixture were investigated using laser diffraction analysis (Mastersizer) and scanning electron microscopy (SEM). It was found that average particle size values of both compositions decreased with increasing milling duration. Considering its improved particle size reduction effectiveness as a process control agent, methanol at the amount of 2 wt.% was found to be more effective comparing to the same amount of ethanol in terms of producing Cu25W composite powder. Besides, more homogeneous dispersion of elements was achieved in powder mixture containing methanol after ball milling duration of 25 hours. [ABSTRACT FROM AUTHOR]

In the present paper, we have studied the curvature tensors of a normal almost paracontact metric manifold satisfying the conditions C̃(ξ,U1)R = 0, C̃(ξ,U1)P = 0, C̃(ξ,U1) Z̃ = 0, C̃(ξ,U1)S = 0 and C̃(ξ,U1)C̃= 0. According these cases, we classified normal almost paracontact metric manifolds, where R is the Riemanniann curvature tensor, C̃ is the quasi-conformal curvature tensor, Pis the projective curvature tensor, Z̃ is the concircular curvature tensor and S is the Ricci tensor. [ABSTRACT FROM AUTHOR]

We hear the Terahertz and Nano term more every passing days. As we understood from its name nano technology investigates production and design of nano sized material. Nanotechnology has brought revolutionary changes in many sectors. One of these is designing and using nano sensors in nano dimensions. It should considered some points while designing and using nano sensors. Nano sensors need nano antennas because of their size limitations that is why nano sensors work on Terahertz frequencies. Terahertz frequencies affected from the environment’s vibration atoms. Terahertz frequencies cannot pass from the vibration atom’s environments that is why the transmission windows which the electromagnetic frequencies could easily pass need to be found. That is why in this paper it will be described that how the transmission windows would be founded in different gasses environments. [ABSTRACT FROM AUTHOR]

To perform meta-analysis of continuous data, meta-analyses need the mean and the standart deviation. In this paper, the conversion methods that improved to estimate the mean and the standart deviation from published studies that report median, range and sample size were discussed. The impact of age on preferring the most used surgery type for early stage breast cancer patients was analyzed. Using the conversion methods, the number of studies included in the meta-analysis was increased from 9 to 17 and the sample volume was increased to obtain more efficient meta-analysis. As a result of the analysis, it was concluded that the age factor was not significant in the choice of treatment. [ABSTRACT FROM AUTHOR]

In recent years, the number of studies about increasing the performances of structures that may be exposed to impact effects during their lifetime has increased. Works on the material properties and test methods are getting important on the impact resistance. In addition to the studies in the field of components, additives and ratios that can increase the impact resistance in terms of material, one of the simple and highly preferred test method is drop weight test. In this review paper, investigations about impact resistance are summarized and some suggestions have been developed for future works. [ABSTRACT FROM AUTHOR]

In this paper, the concept of Boolean near ring extended to ideals of near-rings, called Boolean ideals. With the obtained new concept the relationships between Boolean ideals and the other concepts in the literature have been examined. It has been proved that a Boolean ideal is also an IFP ideal but the converse is not true. Also, it has been proved that annihilator ideals of Boolean near-rings are Boolean ideals. Moreover it has been examined that some examples to illustrate some near rings, which is not a Boolean near-ring, but have Boolean ideals. Finally, a Boolean near ring has been obtained from a given Boolean ring through the method of obtaining a Boolean near ring. [ABSTRACT FROM AUTHOR]

Aerospace, automotive, etc. many areas are needed hole flanged parts. The production of hole flange on metal sheets is generally done on CNC milling machine. In this study, unlike literature, the production of hole flanges was made on CNC lathe. DKP 37 sheet with thickness of 1 mm was used as material. Within the scope of the study, 65 mm diameter hole flange was successfully produced and surface roughness was optimized. With signal/noise analysis, it is determined that the most important parameter in the production of hole flanges on CNC lathe is the revolution of the part. [ABSTRACT FROM AUTHOR]