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Journal articles on the topic 'Turning parameters'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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1

Kumar, Ramesh, Ashwani Kumar, Laxmikant Laxmikant, Nitesh Dutt, and Varun Pratap Singh. "Cutting Parameters Optimization in Turning Operation using Taguschi Method." International Journal of Materials Manufacturing and Sustainable Technologies 1, no. 2 (2022): 22–30. http://dx.doi.org/10.56896/ijmmst.2022.1.2.009.

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The objective of this study is to optimise the cutting parameters in Turning Operation. For this objective Taguchi Method was used. S/N ratio, ANNOVA was used to investigate the cutting force components & Material removal rate (MRR). In results optimal cutting parameters were obtained and the factors affecting cutting performance were analysed. It was concluded that cutting parameters i.e. depth of cut has influence on cutting force and material removal rate.
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2

Sood, P. K., Rakesh Sehgal, and D. K. Dwivedi. "Optimization Of Turning Parameters For Surface Roughness In CNC Turning." i-manager's Journal on Mechanical Engineering 1, no. 1 (2011): 26–30. http://dx.doi.org/10.26634/jme.1.1.1214.

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3

Štefek, Adam, Jan Raška, Libor M. Hlaváč, and Sławomir Spadło. "Investigation of Significant Parameters during Abrasive Waterjet Turning." Materials 14, no. 16 (2021): 4389. http://dx.doi.org/10.3390/ma14164389.

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This paper presents an investigation of abrasive waterjet turning (AWJT). The purpose of the article was to investigate significant parameters of the turning process and to evaluate their impact on the turning product. The influence of the traverse speed, the rotational speed, and the relative position of the jet to the specimen (lateral jet shift) were investigated. Based on the previous research done in this field, the multi-pass tangential turning method was selected. Rotational speed does not seem to have a significant impact on the AWJ turning process. However, the relative position of th
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4

Zhang, Chang-Ming, An-Le Mu, Yong-Xin Wang, Yun Wang, and Yu Zhang. "Influence of Turning Parameters on Turning Performance of Ultra-High Strength Steel." Integrated Ferroelectrics 209, no. 1 (2020): 110–18. http://dx.doi.org/10.1080/10584587.2020.1728817.

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5

Huang, Xianzhen, Mingwei Hu, and Yimin Zhang. "An approach for optimization of turning parameters considering uncertainty parameters." International Journal of Advanced Manufacturing Technology 93, no. 9-12 (2017): 3339–46. http://dx.doi.org/10.1007/s00170-017-0748-5.

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6

Reddy, S. Amarnath, and Mr J. Sree Hari. "Optimization of Cutting Parameters in Turning Operation by Using Taguchi Method." International Journal of Trend in Scientific Research and Development Volume-3, Issue-1 (2018): 935–40. http://dx.doi.org/10.31142/ijtsrd19108.

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7

Pradhan, Sharad Kumar, and Surendra Kumar Saini. "Multi-Objective Optimization of CNC Turning Machining Parameters." Advanced Materials Research 1016 (August 2014): 172–76. http://dx.doi.org/10.4028/www.scientific.net/amr.1016.172.

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An experimental investigation into CNC turning operation on Brass C36000 alloy as work piece material which is widely used for various industrial applications is performed. Multi objective optimization is carried out to find out the influencing machining parameters among spindle speed (rpm), feed (mm per revolution) and depth of cut (mm) for CNC turning of Brass C36000 alloy with surface finish and Material Removal Rate as performance parameters using Taguchi method. Taguchi orthogonal array [L27(33)] is used for the experimental design. All experiments are conducted using EMCO Concept Turn 25
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8

Bhuiyan, Tanveer Hossain, and Imtiaz Ahmed. "Optimization of Cutting Parameters in Turning Process." SAE International Journal of Materials and Manufacturing 7, no. 1 (2014): 233–39. http://dx.doi.org/10.4271/2014-01-9097.

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9

Marko, Hrelja, Klancnik Simon, Irgolic Tomaz, Paulic Matej, Balic Joze, and Brezocnik Miran. "Turning Parameters Optimization Using Particle Swarm Optimization." Procedia Engineering 69 (2014): 670–77. http://dx.doi.org/10.1016/j.proeng.2014.03.041.

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10

Mohammad, Haider Maath, Nuha Hadi Jasim Al Hasan, and Murtadha Abbas Jabbar. "Optimization of Sustainable Carbon Steel Turning Parameters." Instrumentation Mesure Métrologie 23, no. 03 (2024): 225–31. http://dx.doi.org/10.18280/i2m.230306.

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11

Abhang, L. B., and M. Hameedullah. "Empirical Modeling of Turning Parameters Using Grey Relational Analysis." Applied Mechanics and Materials 110-116 (October 2011): 2596–603. http://dx.doi.org/10.4028/www.scientific.net/amm.110-116.2596.

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-Optimization of multi-criteria problem is a great need of producers to produce precision parts with low costs. Many methods such as Taguchi and Response surface methodology have been employed for optimization of turning operation. However there are few researches involve the optimization of multi-response problem in turning process. The attempt of this paper is to optimize multi-performance characteristics of turning process using grey relational analysis based on factorial design with response surface methodology. The response table and response graph for each level of the machining paramete
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12

Wang, Xin Rong, Min Tao, and Yun Xiang Jia. "Study on PID Parameters Turning Method Based on Simulink." Applied Mechanics and Materials 556-562 (May 2014): 2532–35. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.2532.

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The process of PID parameters turning is complicated and time-consuming to engineering technician. To solve this problem, simulating the Z-N method of engineering turning, based on the simulink, a simple and efficient method for PID parameters turning is presented in this paper. Compares with the general methods, it has many advantages, such as simplicity, visual manipulation, leaving out the work load of program and so on. The simulation results show the effectiveness of this method and be fit for application in the engineering.
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13

Zhou, Zhi Li, F. Y. Cao, and L. Y. Xu. "Dynamic Simulation of Hydro-Mechanical Differential Turning Hydraulic System of Tracked Vehicle." Materials Science Forum 628-629 (August 2009): 77–82. http://dx.doi.org/10.4028/www.scientific.net/msf.628-629.77.

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Being an important subsystem of hydro-mechanical differential turning system of tracked vehicle, the turning hydraulic system plays the crucial role on turning and running performance of tracked vehicle. The mathematical model and simulated model of turning hydraulic system are established. The dynamic performance of different running parameters and structural parameters of certain tracked vehicle is simulated and analyzed adopting Runge-Kutta four, five step arithmetic in this paper. The theory basis of system optimization design, parameters match and performance analysis of hydro-mechanical
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14

Babu, R. S., C. Parthasarathy, and J. Chandradass. "Optimization of Turning Process Parameter for GFRP through CNC Turning Process." Asian Review of Mechanical Engineering 4, no. 2 (2015): 11–17. http://dx.doi.org/10.51983/arme-2015.4.2.2400.

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Nowadays, glass fiber reinforced plastics (GFRP) composites play a vital role new line in many engineering applications as an alternative to various heavy exotic materials. Newline in GFRP polymeric composites, the matrix of polymer (resin) is reinforced with glass line fibers. Glass fiber reinforced plastics are increasingly used for variety of engineering new line applications from automobile to air craft components because of their superior new line advantages when compared to the other engineering materials. Turning of GFRP composite materials is a rather complex task owing to its heteroge
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15

Dedović, Vlastimir, Vojislav Božanić, and Milan Božović. "Evaluation of vehicle parameters depending on technical vehicle inspection." Tehnika 76, no. 3 (2021): 352–57. http://dx.doi.org/10.5937/tehnika2103352d.

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In a strategic document of EU for Road safety improvement, up to 2030, "safe vehicle" is recognized as one of the pillars of a stable Road safety system. The part of the "safe vehicle" pillar is technical vehicle ispection, where parameters important for road safety are periodically checked. The aim of this work is to determine the quality of the measurement data and the ability to repeat measurements of some parameters during technical vehicle inspection, or more precisely, to determine whether measured data of turning wheel resistance and brakes ovality differ depending on the inspection pla
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16

Yang, Liang, Lei Sun, and Li Xu. "Research on Surface Roughness of Slender Shaft in Ultrasonic Vibration Turning." Materials Science Forum 800-801 (July 2014): 580–84. http://dx.doi.org/10.4028/www.scientific.net/msf.800-801.580.

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According to the principle of ultrasonic vibration turning, the first step is to study different position changes of surface roughness with cutting parameters under ultrasonic vibration turning of slender shaft by the test of single factor, and determining the extreme position of surface roughness with the slender shaft changes in different cutting conditions. The second step is to study the influence of cutting parameters on the overall average surface roughness of work piece under ultrasonic vibration turning of slender shaft by orthogonal test design, and compared with the conventional turn
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17

Aryan, Ravi, Francis John, Santosh Kumar, and Amit Kumar. "Optimization of Turning Parameters of AL-Alloy 6082 using Taguchi Method." International Journal of Advance Research and Innovation 5, no. 2 (2017): 193–206. http://dx.doi.org/10.51976/ijari.521733.

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Every manufacturing industry aims at producing a large number of products within lesser time.This experiment shows the optimization of cutting parameters for surface roughness and material removal rate in the turning process to obtain the optimal setting for the process parameters and analysis of variance is used to analysis the influence of cutting parameters while turning. Orthogonal array is also beenused and prepared to obtain the optimal levels and to analyse the effect of each turning parameters. The S/N ratio is been calculated to structure the ANOVA table and study the performance char
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18

Serra, Roger. "Vibratory Analysis of Turning Process." Applied Mechanics and Materials 70 (August 2011): 333–38. http://dx.doi.org/10.4028/www.scientific.net/amm.70.333.

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The aim of the paper is to analyse the vibrations during a turning manufacturing process in terms of the Machine-Tool-Part unit having particularly complex dynamic characteristics. The vibratory phenomenon is influenced by many parameters like workpiece, tool overhang, cutting speed, depth of cut and feed rate. This phenomenon is not completely known yet, so the aim was to highlight its origins using two complementary approaches: numerical and experimental. Finite element calculations were carried out, in order to identify parameters which characterize vibrations in machining like structural p
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19

Xu, Kong Lian, and Zan Wu Tan. "Influences of Turning Parameters on Surface Roughness in Ultra-Precision Diamond Turning Processing Technology." Advanced Materials Research 978 (June 2014): 52–55. http://dx.doi.org/10.4028/www.scientific.net/amr.978.52.

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Complex surfaces can be manufactured by using ultra-precision diamond turning processing technology, whereas the surface roughness of the workpiece is influenced by many factors, the relationships among these factors are very complex, and little research reports are found. In this paper, influences of the turning parameters on surface roughness are investigated and analyzed under different related parameters such as spindle speed, feed rate and depth of cut. The result shows that the slotted tool could obtain better surface roughness than the non-slotted tool under the same conditions. Through
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20

Xu, Yingshuai, Zhihui Wan, Ping Zou, and Qinjian Zhang. "Experimental study on chip shape in ultrasonic vibration–assisted turning of 304 austenitic stainless steel." Advances in Mechanical Engineering 11, no. 8 (2019): 168781401987089. http://dx.doi.org/10.1177/1687814019870896.

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There are many problems and physical phenomena in turning process, like machined surface quality, cutting force, tool wear, and so on. These factors and the chip shape of workpiece materials, which is an important aspect to study the mechanism of ultrasonic vibration–assisted turning, go hand in hand. This article first introduces the types and changes of chip, meanwhile the chip formation mechanism of ultrasonic vibration–assisted turning is studied and analyzed, and the turning experiments of 304 austenitic stainless steel with and without ultrasonic vibration are carried out. The difference
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21

Shobha, C., Dr K. Ganesh Babu, and N. Mohammed Raffic. "Optimization of Turning Process Parameters for EN24 Steel Alloy using Experimental Design." International Journal of Trend in Scientific Research and Development Volume-3, Issue-3 (2019): 574–78. http://dx.doi.org/10.31142/ijtsrd22911.

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22

Zhang, Bao, and Chunyu Zhao. "Dynamic turning force prediction and feature parameters extraction of machine tool based on ARMA and HHT." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 234, no. 5 (2019): 1044–56. http://dx.doi.org/10.1177/0954406219888954.

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The dynamic prediction of turning force is an effective means to reflect the changing course and characteristics of the force in the whole cutting process. It is very important to model and predict the turning force and analyze its spectrum characteristics. In order to obtain the dynamic turning force, the circular cutting experiment of 12Cr18Ni9 rotary piece was carried out on the numerical control machine ETC1625P. The KISTLER sensor was mounted on the tool head of the machine tool, and the real-time turning forces in three cutting directions were measured. The experimental data show that th
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23

Zhao, Can, Yang Yang Shi, Min Qi, Zi Biao Wang, and Wang Xi. "Studies on Ceramic Cutting Tool Wear for the High Speed Milling Nickel-Based Superalloy." Materials Science Forum 800-801 (July 2014): 501–5. http://dx.doi.org/10.4028/www.scientific.net/msf.800-801.501.

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According to the principle of ultrasonic vibration turning, the first step is to study different position changes of surface roughness with cutting parameters under ultrasonic vibration turning of slender shaft by the test of single factor, and determining the extreme position of surface roughness with the slender shaft changes in different cutting conditions. The second step is to study the influence of cutting parameters on the overall average surface roughness of work piece under ultrasonic vibration turning of slender shaft by orthogonal test design, and compared with the conventional turn
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24

Wang, Cheng-Chi, Ping-Huan Kuo, and Guan-Ying Chen. "Machine Learning Prediction of Turning Precision Using Optimized XGBoost Model." Applied Sciences 12, no. 15 (2022): 7739. http://dx.doi.org/10.3390/app12157739.

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The present study proposes a machine learning approach for optimizing turning parameters in such a way as to maximize the turning precision. The Taguchi method is first employed to optimize the turning parameters, and the experimental results are then used to train three machine learning models to predict the turning precision for any given values of the input parameters. The model which shows the best prediction performance (XGBoost) is further improved through the use of a synthetic minority over-sampling technique for regression with Gaussian noise (SMOGN) and four different optimization al
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25

Saini, Surendra Kumar, and Sharad Kumar Pradhan. "Optimization of Machining Parameters for CNC Turning of Different Materials." Applied Mechanics and Materials 592-594 (July 2014): 605–9. http://dx.doi.org/10.4028/www.scientific.net/amm.592-594.605.

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Abstract. This paper proposes an experimental investigation of the most influencing machining parameters like spindle speed, feed rate and depth of cut on CNC turning of three metals viz. 316L Stainless steel, EN24 alloy steel and Ti 6 Al 4V alloy. Fractional factorial design with orthogonal array [L9 (33)] is employed for the optimization of these turning process parameters. All experiments were carried out using EMCO CNC 250 Turn machine with carbide cutting tool. The comparison revealed that feed rate and depth of cut are the most significant turning factors on surface roughness followed by
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26

Coeymans A., Juan Enrique, and Juan Carlos Herrera M. "Estimating Values for Traffic Parameters in Turning Lanes." Transportation Research Record: Journal of the Transportation Research Board 1852, no. 1 (2003): 47–54. http://dx.doi.org/10.3141/1852-07.

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Following previous research in Chile that showed the influence of physical and operational characteristics of traffic signal junctions on capacity, in-depth research was done to capture the influence of turning vehicles as opposed to other vehicles sharing a lateral lane. Currently, equivalency factors and then saturation flows are estimated as a function of lane type and width, period of the day, and the proportion of public transport vehicles in the flow. A database containing more than 400 discharges and about 4,000 headways was collected at 12 signalized junctions in Santiago, Chile, and u
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27

Pronin, A. I., V. V. Mylnikov, D. A. Valko, and A. S. Sevryukov. "Investigation of the Dynamics of Processing Parameters in Hard Turning Modes." Science & Technique 22, no. 6 (2023): 470–76. http://dx.doi.org/10.21122/2227-1031-2023-22-6-470-476.

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One of the types of finishing operations of machining the surface of products made of metal materials is hard turning, which is carried out at elevated turning modes. When processing steels hardened to high hardness, in processing modes with the ma-nifestation of all the features characterizing hard turning, a lot of heat is released, which turns into chips during turning, while the values of the cutting force decrease, which is associated with the softening of the active surface layers of the processed material and its subsequent plasticization, which leads to a decrease in cutting forces in
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28

Nethaji, Perumal A., B. Kumaragurubaran Dr., and T. Senthil Kumar Dr. "Optimization of Cutting Parameters in CNC Turning of AISI 304 and AISI 316 Stainless Steel." International Journal of Trend in Scientific Research and Development 2, no. 4 (2018): 955–59. https://doi.org/10.31142/ijtsrd14185.

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This paper deals with finding optimal cutting parameters to get the better surface finish. It uses Taguchi method of experiments in arriving at optimal cutting speed, feed rate and depth of cut on turning operation. Turning is common method for cutting, especially for the finished machined products. Surface finish obtained in turning process depends upon so many factors like job material, tool material, tool geometry, machining parameters etc. This experimental study is carried out to find optimum parameters of CNC turning operation on AISI 304 and AISI 316 job materials using carbide coated t
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29

Tong, Jing Lin, Bo Zhao, and Feng Jiao. "Study on Residual Stress of GCr15 Bearing Steel under Ultrasonic Vibration Turning." Key Engineering Materials 522 (August 2012): 173–77. http://dx.doi.org/10.4028/www.scientific.net/kem.522.173.

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The effects of the cutting parameters on residual stresss were investigated in common and ultrasonic vibration hard turning bearing steel GCr15 with PCBN. The residual stresses under the machined surface were measured by X-ray diffraction technique. The results obtained in this study show that residual compressive stress is produced both in common and ultrasonic turning of GCr15 bearing steel. Under the same turning condition the residual compressive produced by the ultrasonic turning is smaller than that by the common turning. Residual compressive stress can improve the fatigue performance an
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30

Bui Thanh Binh and Nguyen Duc Hanh. "Multi-Optimization in Turning Process." International Journal of Scientific Research in Science and Technology 12, no. 1 (2025): 628–36. https://doi.org/10.32628/ijsrst25121203.

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This paper presents a study on the multi-objective optimization of the turning process. Twenty-five experiments, designed using the Taguchi method, were conducted. In each experiment, the values of five parameters were varied: tool nose radius, tool overhang length, spindle speed, feed rate, and depth of cut. Three output parameters were measured for each experiment: surface roughness, roundness deviation, and material removal rate. Four different methods were employed to determine the weights of the output parameters. The FUCA method was then used to solve the multi-objective optimization pro
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31

M., Sree Praveen Chowdary*1 SK. Waseem Sohail 2. SK. Sajidh3 K. Sai Krishna4. "OPTIMISATION OF SURFACE ROUGHNESS AND MATERIAL REMOVAL RATE IN TURNING OPERATION OF MILD STEEL USING TAGUCHI METHOD." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 7, no. 2 (2018): 477–84. https://doi.org/10.5281/zenodo.1173592.

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This paper attempts on optimizing the turning process under various machining parameters by Taguchi method to develop or implement the quality of a machined product. Taguchi optimization methodology is applied to optimize cutting parameters in turning mild steel with coated cemented carbide tool under dry cutting condition. The CNC turning machine is used to conduct experiments based on the Taguchi design of experiments (DOE) with an orthogonal L9 array. The orthogonal array, signal to noise ratio (S/N) and analysis of variance were employed to find the maximum material removal rate (MRR) and
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32

Liu, Zhi Qiang, Xiao Jiang Cai, Shu Han, Ming Chen, and Qing Long An. "Parameters Optimization of Turning Free Cutting Steel Based on the Coupling Method of Response Surfaces." Advanced Materials Research 188 (March 2011): 301–6. http://dx.doi.org/10.4028/www.scientific.net/amr.188.301.

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Turning parameters are subject to processing efficiency, cutting force and surface quality, etc. A method, called the coupling method of response surfaces, is presented in this paper to select cutting parameters subjected to several constraints. An experiment of turning free cutting steel is made in order to set up the model. The results from the optimal selection provide a basis prototype for the cutting parameters. It can meet the needs of the turning process in industrial production.
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33

Khleif, Ali Abbar, Rasha R. Elias, and Lujain Hussein Kashkul. "Investigation of Effecting Parameters in a Turning Operation." Al-Khwarizmi Engineering Journal 15, no. 4 (2019): 45–54. http://dx.doi.org/10.22153/kej.2019.08.005.

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In this study multi objective optimization is utilized to optimize a turning operation to reveal the appropriate level of process features. The goal of this work is to evaluate the optimal combination of cutting parameters like feed, spindle speed, inclination angle and workpiece material to have a best surface quality Taguchi technique L9 mixed orthogonal array, has been adopted to optimize the roughness of surface. Three rods of length around (200 mm) for the three metals are used for this work. Each rod is divided into three parts with 50 mm length. For brass the optimum parametric mix for
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Ahmad, Nafis, Tomohisa Tanaka, and Yoshio Saito. "Optimization of Multipass Turning Parameters by Genetic Algorithm." Advanced Materials Research 264-265 (June 2011): 1545–50. http://dx.doi.org/10.4028/www.scientific.net/amr.264-265.1545.

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Optimization of cutting parameters is one of the key obstacles for CAD/CAM integration. In this work optimum cutting parameters, the best sequence, number, and type of passes of turning operation are determined by Genetic Algorithm (GA). Proposed optimization strategy ensures that no constraint will be violated at the optimum condition and determines the optimum number and type of passes such as rough, finish and semi-finish passes to complete a multipass turning operation. Here objective function is the unit production cost and constraints are limits of cutting force, power, tool life, stabil
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35

Rifelino, Rifelino, Bulkia Rahim, and Eko Indrawan. "Optimization of CNC Turning Parameters Using Taguchi Method." Teknomekanik 4, no. 1 (2021): 42–48. http://dx.doi.org/10.24036/teknomekanik.v4i1.11072.

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The surface roughness quality of machining product plays important role when it contacted with other machine components. That quality depends on several parameters setting, such as material, cutting tool, cutting condition and operator skill. The aim of this study is to obtain the optimum setting of turning parameters by using Taguchi method. Three control factors: cutting speed, depth of cut, and feeding at three different levels are selected. A series CNC turning process on AISI 1045 material were performed using L9 (3)3 orthogonal array with cutting fluid. Insert carbide cutting tool is use
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Niyaz, Ansab, Mohd Atif Wahid, and Zahid A. Khan. "Optimization of Turning Process Parameters using Taguchi Method." Invertis Journal of Renewable Energy 9, no. 3 (2019): 135. http://dx.doi.org/10.5958/2454-7611.2019.00015.8.

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37

Senthil Kumar, K., J. S. Senthilkumaar, and A. Srinivasan. "REDUCING SURFACE ROUGHNESS BY OPTIMISING THE TURNING PARAMETERS." South African Journal of Industrial Engineering 24, no. 2 (2013): 78. http://dx.doi.org/10.7166/24-2-593.

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38

HELMY, MAMDOH A., OSAMA M. KAMEL, and ZAKRIA M. IMARA. "EFFECT OF TURNING PLOWS ON SOME SOIL PARAMETERS." Egyptian Journal of Agricultural Research 76, no. 4 (1998): 1751–69. http://dx.doi.org/10.21608/ejar.1998.365720.

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39

Gurtyakov, A. M., A. S. Babaev, and A. I. Chudinova. "Kinematic Analysis of Rotary Deep-Depth Turning Parameters." IOP Conference Series: Materials Science and Engineering 124 (April 2016): 012156. http://dx.doi.org/10.1088/1757-899x/124/1/012156.

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40

Savilov, A. V., V. M. Svinin, and S. A. Timofeev. "Investigation of Output Parameters of Titanium Reverse Turning." Journal of Physics: Conference Series 1015 (May 2018): 042055. http://dx.doi.org/10.1088/1742-6596/1015/4/042055.

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41

Dixon, Philippe C., Amy B. Zavatsky, Julie Stebbins, and Tim Theologis. "Spatio-temporal parameters of turning in healthy children." Gait & Posture 38 (November 2013): S60. http://dx.doi.org/10.1016/j.gaitpost.2013.07.134.

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42

Serra, R., and H. Chibane. "Effects of cutting parameters during turning 100C6 steel." EPJ Web of Conferences 6 (2010): 13004. http://dx.doi.org/10.1051/epjconf/20100613004.

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43

Li, Dong, Da-Wei Luan, Zhen-Fang Wang, and Tao Ma. "Dynamic Characteristics Analysis and Modeling of Giant Magnetostrictive Actuator Turning System." Applied Mechanics and Materials 477-478 (December 2013): 321–24. http://dx.doi.org/10.4028/www.scientific.net/amm.477-478.321.

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Based on DEFORM finite element software, the model of turning process of GMA was built, and the relation function among turning speed, turning depth and turning force of GMA turning system was achieved. Then, considering the turning force model, the dynamic equation of the turning system was established and the time domain and frequency domain of GMA turning system were discussed with different corresponding parameters. Results show that turning speed and turning depth have apparent effects on turning force of GMA turning system. Therefore, it is necessary to take the impact into consideration
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Wang, Yi Zhong, Jun Chen, Li Li Wang, and Qing Xin Meng. "Parameter Optimization of Classroom Energy-Saving Controller Based on Fuzzy Multi-Objective Optimization Algorithm." Advanced Materials Research 393-395 (November 2011): 867–70. http://dx.doi.org/10.4028/www.scientific.net/amr.393-395.867.

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In order to save electric energy for classroom lighting in universities, energy-saving controllers are used to control turning-on and turning-off of lights in a classroom based on the illumination intensity and the usage conditions of the classroom. Three parameters for an energy-saving controller, namely turning-on threshold, turning-off threshold, and delaying time, should be set before usage, which is usually done based on a user’s experience. In this paper, for optimizing the parameters, a multi-objective optimization model for an energy-saving controller is established. Then, fuzzy logic
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Dhiraj, S. Pachpor*1 &. Dr. P. M. Ardhapurkar2. "OPTIMIZATION OF MACHINING COST FOR TURNING OPERATION USING GENETIC ALGORITHM." GLOBAL JOURNAL OF ENGINEERING SCIENCE AND RESEARCHES [NC-Rase 18] (November 22, 2018): 172–78. https://doi.org/10.5281/zenodo.1494032.

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Determining the optimal cutting parameters is having vital importance in any machining process considering the economy of machining operation. In the optimization process, any possible variables will be evaluated based on requirements. In turning operation predicting the proper cutting speed and feed during turning is of great importance as it helps in setting the appropriate cutting parameters before machining starts in order to optimize the machining cost. The Genetic Algorithm (GA) is used for optimization of complex problems in many applications. The paper deals with the optimization of ma
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Nouri, H., M. Farahnakian, and S. Elhami. "Experimental study on the wettability of microtextured surfaces generated by the ultrasonic-assisted face turning." Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology 231, no. 5 (2016): 655–63. http://dx.doi.org/10.1177/1350650116672144.

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Surface texture technology is a useful method for controlling the wettability. In this paper, ultrasonic-assisted face turning is implemented to create a microscaled texture on the flat faces. The effect of process parameters on the wettability of untextured and textured patterns is investigated by the full factorial method. Experimental results showed that the ultrasonic-assisted face turning is an effective method to create microdimples (periodic ripples) on the flat faces. Considered factors are turning (cutting speed, feed) and ultrasonic (vibration direction and vibration amplitude) param
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Parmar, Rajkumar K., and Dr Ankit A. Darji. "Experimental Investigation of Tool Life and Surface Roughness during CNC Turning Using Single Point Cutting Tool." International Journal for Research in Applied Science and Engineering Technology 10, no. 5 (2022): 1093–97. http://dx.doi.org/10.22214/ijraset.2022.42457.

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Abstract: Turning is one of the most important machining operation in industries. Turning is affected by many factors such as cutting speed, feed rate, depth of cut, geometry of cutting tool etc. Input parameters in this project work is cutting speed, feed rate and depth of cut. Output parameters are surface roughness and tool life. The objective of this paper is to evaluate the optimal setting of cutting parameters to have a maximum cutting tool life under wet machining environment. In this investigation HSS cutting tool with carbide insert is used. Mild steel and aluminium are workpiece mate
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Fledrich, G., I. Pálinkás, and R. Keresztes. "Turning ZrO2 ceramics." International Review of Applied Sciences and Engineering 1, no. 1-2 (2010): 3–6. http://dx.doi.org/10.1556/irase.1.2010.1-2.1.

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Abstract In place of brittle ceramics used so far have appeared up-to-date so-called tough ceramic materials resisting better against mechanical effects [1]. Such material is the zirconium-dioxide, too. The important advantage of hard-turning is the applicability of universal tool. Various outlines can be formed by a tool given. Machining ceramics in case of using traditional machining (turning, milling, drilling) requires special technological conditions (tools, machine-tools, technological parameters, etc.) [2] which are developing presently. We would like extending our research work in this
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Stanojković, Jelena, Miloš Madić, and Dragan Lazarević. "Empirical Modeling Methods of Turning Process: A Review." Journal of Materials and Engineering 1, no. 2 (2023): 74–81. http://dx.doi.org/10.61552/jme.2023.02.004.

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This paper presents a review of the modeling methods which are widely used for empirical modeling of turning process. The review considered the scientific publications from renowned scientific resource bases from 2018 until the end of 2022. The main focus was to identify the applied empirical methods, considered turning process performances, turning process parameters, material of cutting tool and workpiece, type of turning operation (single or multi pass turning) and a number of performed experimental trials upon which mathematical model was developed. Research in this area provides ready-mad
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Wang, Yifan, Jun Yu, and Zhanshan Wang. "Surface quality improvement at selective laser melting AlSi10Mg by optimizing single point diamond turning parameters." Materials Testing 65, no. 1 (2023): 63–76. http://dx.doi.org/10.1515/mt-2022-0217.

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Abstract Selective laser melting allows aluminum-silicon alloy mirrors further lightweight for aerospace applications. The reflective surfaces based on Selective laser melting aluminum-silicon alloy substrates are commonly machined by single point diamond turning. However, many surface defects on single point diamond turning machined surfaces may limit their direct applications in optical system. In the paper, single point diamond turning parameters (cutting depth, feed rate, and cutting speed) are optimized orderly to improve its surface quality. The single point diamond turning machined surf
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