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Journal articles on the topic 'CNC parameters optimization'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Hao-Sheng Lu, Hao-Sheng Lu, Yan Lu Hao-Sheng Lu, Hui-Xin Li Yan Lu, et al. "Optimization Method of CNC Machining Parameters Based on Digital Twin." 電腦學刊 35, no. 3 (2024): 309–25. http://dx.doi.org/10.53106/199115992024063503021.

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<p>This article mainly discusses the optimization methods of machining parameters for CNC machine tools. Firstly, based on the functional requirements and application scenarios of CNC machining, three-dimensional modeling and motion simulation of twin machine tools are achieved, and a data-driven cutting process model is constructed. Then, in the actual production process, in addition to ensuring the normal processing of physical equipment such as CNC machine tools, the design of data perception schemes and the layout of data acquisition equipment during the processing were also complete

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Yu, Bin Gao, Lin Shi, and Kun Qi Wang. "Optimization of Velocity Loop Parameters in CNC Servo System." Advanced Materials Research 411 (November 2011): 255–58. http://dx.doi.org/10.4028/www.scientific.net/amr.411.255.

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To optimizing efficiently control parameters in feed servo system for adequately giving out the CNC machine tools, the velocity loop control model is built, and the comprehensive evaluation function is given. The standard particle swarm algorithm is improved to optimizing the parameters of velocity loop control in CNC machine tools. It shows the best overall performance of the velocity loop in CNC machine tools that parameters optimized by improved particle swarm algorithm Compared with genetic algorithm, the standard particle swarm algorithm and handy calculation. This optimized algorithm is

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., Malay, Kishan Gupta, Jaideep Gangwar, and Hasrat Nawaz Khan. "Optimization of Process Parameters of CNC Milling." International Journal of Advance Research and Innovation 4, no. 1 (2016): 178–84. http://dx.doi.org/10.51976/ijari.411627.

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CNC Vertical Milling Machining is a widely accepted material removal process used to manufacture components with complicated shapes and profiles. During the face milling process, the material is removed by the 10 mm Dia tool. The effects of various parameters of milling process like spindle speed, depth of cut, feed rate have been investigated to reveal their Impact on surface finish using Taguchi Methodology. Experimental plan is performed by a Standard Orthogonal Array. The results of analysis of variance (ANOVA) indicate that the feed Rate is most influencing factor for modeling surface fin

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Deng, Chao, Yao Xiong, Yuan Hang Wang, and Jun Wu. "Machining Process Parameters Optimization Based on Grid Optimization Algorithm." Advanced Materials Research 562-564 (August 2012): 2021–25. http://dx.doi.org/10.4028/www.scientific.net/amr.562-564.2021.

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Machining process parameters directly affect the machining quality and efficiency of heavy-duty CNC machine tools, selecting correctly machining process parameters can improve the machine’s machining performance effectively. This paper presents a machining process parameters optimization method based on grid optimization algorithm for heavy-duty CNC machine tools. In this method, a multi-objective optimization model will be established, which considers not only the linear constrains of machining process parameters, such as machining time and machining cost, but also the non-linear constrain, s

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Pain, Pritam, Goutam Kumar Bose, Subrata Mondal, and Gairik Kumar Bose. "Multi-Objective Particle Swarm Optimization for Al 6351-T6 Alloy CNC Turning Parameter Optimization." International Journal of Emerging Technology and Advanced Engineering 14, SpecialIssue2 (2024): 24–29. http://dx.doi.org/10.46338/ijetae142324_4.

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CNC turning is a popular machining process where material is removed from a rotating workpiece using a cutting tool. Productivity in CNC turning depends on parameters such as cutting speed, feed rate, and depth of cut. This paper presents an optimization approach using ANOVA to enhance production time, cost, and surface finish in CNC turning. The study examined the effects of cutting speed, feed rate, and depth of cut on machining Al 6351-T6 alloy. Key parameters were identified using ANOVA, and the multiobjective Particle Swarm Optimization (MOPSO) algorithm was employed to find optimal cutti

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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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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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Bhosale, Krantikumar K. "Parameters Optimization of CNC Machining using Taguchi Methodology." International Journal for Research in Applied Science and Engineering Technology 6, no. 4 (2018): 4594–98. http://dx.doi.org/10.22214/ijraset.2018.4753.

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9

Yi, Wangyuan, and Ruixue Yin. "Optimization of CNC Milling Parameters Based on Tool Life and Process Carbon Emission Prediction Models." Journal of Physics: Conference Series 2561, no. 1 (2023): 012015. http://dx.doi.org/10.1088/1742-6596/2561/1/012015.

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Abstract Aiming at the problems of short tool life and high carbon emission in the process of CNC milling, a multi-objective optimization method of process parameters based on the BP neural network and NSGA-II algorithm is proposed. Based on the data sets generated by CNC milling under different process parameters, with tool life and process carbon emissions as outputs and different process parameter combinations as inputs, a BP neural network-based tool life and process carbon emissions prediction model is constructed. Taking the maximum tool life and minimum process carbon emission as the op

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10

Nie, Xiaochun, Qin Gao, and Yunling Zhang. "Optimization strategy of computer numerical control machining process parameters in biomanufacturing mold." Molecular & Cellular Biomechanics 21, no. 3 (2024): 724. http://dx.doi.org/10.62617/mcb724.

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With the rapid development of biomanufacturing technology in the medical and pharmaceutical fields, the demand for high-precision and high-quality molds has surged. When Computer numerical control (CNC) machining biomanufacturing molds, the optimization of process parameters becomes the key to improve efficiency and quality. The purpose of this study is to explore the optimization strategy of CNC machining process parameters to achieve the best surface quality, dimensional accuracy and machining efficiency. Through literature review, the spindle speed, feed speed and cutting depth are selected

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11

Xie, Dong, Guo Rong Chen, Feng Wang, and Jian Qu Zhu. "Modeling of CNC Machine Tool Energy Consumption and Optimization Study Based on Neural Network and Genetic Algorithm." Applied Mechanics and Materials 195-196 (August 2012): 770–76. http://dx.doi.org/10.4028/www.scientific.net/amm.195-196.770.

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The issue of CNC machine tool energy consumption and environmental protection plays an important role on manufacturing technology research since CNC machine tool energy is consumed during motor racing or cutting process. The paper analyzes CNC machine tool energy consumption influence by cutting parameters of cutting speed, feed speed, cutting depth. Based on nonlinear mapping ability of neural network, the model of CNC machine tool energy consumption related to cutting parameters is established by using experimental data, and then the optimal combination of cutting parameters are searched by

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12

Jia, Shun, Shang Wang, Jingxiang Lv, et al. "Multi-Objective Optimization of CNC Turning Process Parameters Considering Transient-Steady State Energy Consumption." Sustainability 13, no. 24 (2021): 13803. http://dx.doi.org/10.3390/su132413803.

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Energy-saving and emission reduction are recognized as the primary measure to tackle the problems associated with climate change, which is one of the major challenges for humanity for the forthcoming decades. Energy modeling and process parameters optimization of machining are effective and powerful ways to realize energy saving in the manufacturing industry. In order to realize high quality and low energy consumption machining of computer numerical control (CNC) lathe, a multi-objective optimization of CNC turning process parameters considering transient-steady state energy consumption is pro

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13

Liang, Xiao Zhen, Guang Rong Yan, and Hong Zhen Chu. "A Research on Optimization of Cutting Parameters Based on NSGA-II." Advanced Materials Research 936 (June 2014): 1687–93. http://dx.doi.org/10.4028/www.scientific.net/amr.936.1687.

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In this paper, we take the CNC milling on as the object of the research and establish an optimized model of cutting parameters by using algorithms based on NSGA-II. Taking the machining time and the surface roughness as target function, and the rotational speed and cutting power as constraint condition, the optimization of a CNC milling case is realized, and is verified by simulation of cutting using CAXA ME and Vericut. The outcome confirms the truth that NSGA-II is a useful technique in the optimization of cutting parameters.

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14

Huang, Yu, Wu Yi Ming, Jian Wen Guo, Ming Zhen Li, and Jian Li. "High-Speed CNC Grinding Process Optimization of Non-Circular Rotary Parts Based on Particle Swarm Optimization." Applied Mechanics and Materials 528 (February 2014): 237–46. http://dx.doi.org/10.4028/www.scientific.net/amm.528.237.

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As for the high-speed CNC grinding process for non-circular rotary parts with a large rate of lift change (such as camshaft of automotive engine), the acceleration of grinding wheel often has a direct impact on the contour grinding precision of the workpiece due to the large acceleration of movement between of the workpiece and the grinding wheel produced from CNC grinding interpolation. Researches show that solving this problem is an important way to improve the precision of high-speed CNC grinding for non-circular rotary parts. In this paper, a high-speed CNC grinding process control and opt

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15

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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16

Zhang, Liyue, Haoran Liu, Niantai Wang, Yuhua Qin, and Enping Chen. "An Algorithm for Optimizing the Process Parameters of the Spindle Process of Universal CNC Machine Tools Based on the Most Probable Explanation of Bayesian Networks." Processes 11, no. 11 (2023): 3099. http://dx.doi.org/10.3390/pr11113099.

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As an essential component of a universal CNC machine tool, the spindle plays a critical role in determining the accuracy of machining parts. The three cutting process parameters (cutting speed, feed speed, and cutting depth) are the most important optimization input parameters for studying process optimization. Better processing quality is often achieved through their optimization. Therefore, it is necessary to study the three cutting process parameters of the CNC machine tool spindle. In this paper, we proposed an improved algorithm incorporated with the beetle antennae search algorithm for t

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17

Zhang, Mian Hao. "Cutting Parameters Optimization to Reduce Errors in Milling Mould." Advanced Materials Research 139-141 (October 2010): 1272–76. http://dx.doi.org/10.4028/www.scientific.net/amr.139-141.1272.

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Precision cutting, considering the time, cost and flexibility of the production, has been one of the major goals in manufacturing. Nowadays with helping of a lot of modern technology including many of instruments with high accuracy or of many researches focused on using new technological tools such as linear motors, laser and piezoelectric actuators in cutting operations to decrease the basic parts errors (straightness, roundness, diameter error, etc.) for commercial CNC lathes in a cheaper way, but errors always happened after manufacturing between the geometry of the parts which the designer

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18

Vyasa, Rupal, Pragnesh Brahmbhatt, Chandrakant Sonawane, Nageswara R. Lakkimsetty, and G. Pavithra. "Investigation on the Multi-Objective Optimization of Machining Parameters and Prediction for EN Series Materials." Engineering, Technology & Applied Science Research 14, no. 5 (2024): 16427–37. http://dx.doi.org/10.48084/etasr.7953.

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To meet the requirements of modern Computerized Numerical Control (CNC) turning processes, it is necessary to improve efficiency, precision and surface quality while reducing negative effects such as vibration and cutting force. In an attempt to minimize vibration, surface roughness, and cutting force at the same time, this study optimizes machining settings in CNC turning of EN8. Manufacturers can find the optimal parameters by using a multi-objective optimization strategy. According to the conducted experimental validation, by reducing vibration, improving surface roughness, and minimizing c

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19

N., G. A. Zebaze, and L. Tchigirinsky Ju. "Optimization of Cutting Parameters during CNC Turning of a Steel." International Journal of Innovative Science and Research Technology (IJISRT) 9, no. 12 (2025): 2610–15. https://doi.org/10.5281/zenodo.14613865.

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The surface roughness obtained by optimizing the cutting parameters when turning on a CNC machine tool is used to control the quality of machining processes. The objective is to simulate a CNC program designed for this process. The machining parameters, including cutting speed (Vc), feed rate (f), and depth of cut (ap), are carefully calibrated to achieve a minimum surface roughness (Ra). Analysis of variance (ANOVA) was used to determine the dependence of surface roughness. This analysis allows the effect of each parameter on surface roughness to be estimated. The results of this analysis are

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20

Liu, Hengli, Yong Wang, and Jingchuan Dong. "Application of combined optimization strategy and system of CNC machining parameter." Advances in Mechanical Engineering 14, no. 7 (2022): 168781322211100. http://dx.doi.org/10.1177/16878132221110004.

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This paper presents an efficient optimization method of combining off-line optimization with on-line adaptive control for CNC (Computerized Numerical Control) machining parameter, and develops the corresponding system, aims to multi-objective optimization and cutting force stability. Firstly, the multi-objective optimization solution of machining parameters is obtained by off-line optimization based on Pareto genetic algorithm and TRIZ theory. Then, on this basis, feed speed is adjusted online based on adaptive control system. Next, current is used as feedback to control cutting force, and cut

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21

Han, Xian Long, and Yao Juan Zhang. "Research on CNC AC Servo System Design and Parameters’ Tuning and Optimization." Advanced Materials Research 986-987 (July 2014): 1117–20. http://dx.doi.org/10.4028/www.scientific.net/amr.986-987.1117.

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In this paper, the tricyclic control block diagram for CNC AC servo system of three phase permanent magnet synchronous motor was established. And three loop PID controller tuning was analyzed. At the same time, this paper proposed the tuning tricyclic PID parameters adopting GISE. Then take the CNC milling machine for example, simulation tuning was conducted in MATLAB using GISE. The results show that the servo system is no overshoot, fast response and good stability. So GISE is more suitable for parameter’s optimization and tuning of permanent magnet synchronous motors’ AC position servo syst

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22

Loc, Nguyen Huu, and Nguyen Phuoc Hung. "UTILIZING RESPONSE SURFACE METHODS DESIGNS FOR OPTIMIZATION OF TECHNOLOGICAL PARAMETERS ON THE VIBRATION AMPLITUDE OF CNC ROUTER SPINDLE." ASEAN Engineering Journal 11, no. 1 (2021): 34–44. http://dx.doi.org/10.11113/aej.v11.16665.

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For CNC machines, machining accuracy is of ultimate importance since it determines the quality of the products. Among many factors, vibration amplitude and stiffness are the key ones that influence the machining accuracy of a CNC machine. Remarkably, it is essential to conduct study into structural stiffness and the effect of technological parameters on the vibration amplitude of CNC router spindle with various second-order designs in order to improve machining accuracy. The research focuses on the application and comparison of the response-surface methods, the experimental research on the fac

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23

Xiao, Shan Hua, Wen Chao Zhou, and Gui Xing Fu. "Five-Axis Machining and Impeller Vericut Simulation Optimization." Applied Mechanics and Materials 401-403 (September 2013): 155–58. http://dx.doi.org/10.4028/www.scientific.net/amm.401-403.155.

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Analysis impeller axis CNC machining process and processing content, applications Master CAM X6 software to generate a five-axis roughing trajectory of the impeller, the impeller expansion tank and wheels finishing trajectory, blade finishing trajectory. Vericut simulation software tool set, add the tool library, add rough, add impeller machining CNC program, set collision and interference color display, program optimization parameters, simulation of collision-free, without undercutting the five-axis impeller.

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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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LI, Congbo. "Multi-objective CNC Milling Parameters Optimization Model for Energy Efficiency." Journal of Mechanical Engineering 52, no. 21 (2016): 120. http://dx.doi.org/10.3901/jme.2016.21.120.

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26

DATTU, BALU GHANE, L. B. ABHANG, P. A. MAKASARE, and B. N. KHARAD. "OPTIMIZATION ON OPERATING PARAMETERS OF CNC PLASMA MACHINE BY EXPERIMENTATION." i-manager’s Journal on Instrumentation and Control Engineering 7, no. 1 (2019): 26. http://dx.doi.org/10.26634/jic.7.1.15952.

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27

Mohanavel, V., S. Suresh Kumar, R. Vishnukumar, V. Sivaraman, J. Vairamuthu, and M. Ravichandran. "Optimization of CNC machining process parameters for AA2014/WC composite." IOP Conference Series: Materials Science and Engineering 988 (December 16, 2020): 012121. http://dx.doi.org/10.1088/1757-899x/988/1/012121.

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Wang, Xuemin, Sen Jiang, Yang Shen, et al. "Multi-objective optimization of CNC milling parameters based on MOEAD." Journal of Physics: Conference Series 3009, no. 1 (2025): 012034. https://doi.org/10.1088/1742-6596/3009/1/012034.

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Abstract This research addresses the inherent conflict between energy efficiency and productivity in CNC milling by developing a dual-objective optimization framework. The model simultaneously minimizes machining power and specific cutting energy through strategic adjustment of spindle speed, feed rate, cutting depth, and milling width parameters. Employing the MOEAD algorithm, the study successfully identifies Pareto-optimal parameter configurations that balance energy conservation with operational effectiveness. The testing results show that using the optimal combination of milling settings

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Lan, Tian-Syung. "FUZZY TAGUCHI DEDUCTION OPTIMIZATION ON MULTI-ATTRIBUTE CNC TURNING." Transactions of the Canadian Society for Mechanical Engineering 34, no. 3-4 (2010): 401–15. http://dx.doi.org/10.1139/tcsme-2010-0024.

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In this paper, four parameters with three levels are considered to optimize the multi-attribute finish CNC (computer numerical control) turning based on L9(34) orthogonal array. Additionally, nine fuzzy control rules with respective to five linguistic grades for each attribute are constructed. The TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) is moreover utilized to integrate and evaluate the multiple machining attributes for Taguchi experiment to receive the optimum general deduction parameters. It is shown that the attributes from the fuzzy Taguchi deduction optimiz

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Gao, Xiao Bing, Yan Xue, and Fu Jia Wu. "Research on CNC Process Parameters Optimization Based on Process Planning Knowledge." Advanced Materials Research 411 (November 2011): 398–402. http://dx.doi.org/10.4028/www.scientific.net/amr.411.398.

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CNC milling process parameters is the key issue to improve quality and productivity of product and save cost. Especially, in the end milling of the pockets, the radial depth and real feed vary as the end mill moves along the corner. This will result in the unstable of the cutting force and the bad accuracy of the milled pockets. In this paper, according to analysis of CNC machining process, the model of dynamic cutting force based on knowledge in the end milling of the pockets is established, which is predicted by the model of cutting force coefficient. The optimization milling parameters can

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Indaka, Arifin, and Bagus Wahyudi. "Optimization of CNC milling parameters using the response surface method for aluminum 6061." Jurnal Polimesin 22, no. 3 (2024): 343. http://dx.doi.org/10.30811/jpl.v22i3.4909.

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The manufacturing sector is constantly seeking ways to optimize the machining process, specifically for 3-axis CNC machines. This study aims to identify the optimal parameter values that result in the lowest roughness and the highest process capability in 3-axis CNC milling. The roughness level (Ra) of the product is primarily influenced by factors such as feed rate, spindle speed, and depth of cut. Additionally, the reliability of the machining process was analyzed to evaluate its ability to consistently achieve low roughness values and to validate the process capability of the VH850L3 series

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Li, Qiang, and Ling Jiang Ouyang. "Process Optimization of CNC End Milling of Integral Impeller Channels." Applied Mechanics and Materials 268-270 (December 2012): 1469–73. http://dx.doi.org/10.4028/www.scientific.net/amm.268-270.1469.

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The process optimization model was established in finish machining of the bottom surface of the integral impeller channels. The optimization objective was the maximal productivity, and three process parameters such as spindle speed, feed speed and cutter row space are chosen as design variables. Constrains were analyzed from three aspects: machine tool, cutter and machining quality in accordance with the actual 5-axis machining conditions. The genetic algorithm (GA) was employed to seek the optimum solution. A machining experiment was conducted to compare the efficiency of the optimum paramete

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Deng, Chao, Chao Ma, Yao Xiong, and Yuan Hang Wang. "An Optimization Method of the Heavy Machine Cutting Parameters." Advanced Materials Research 544 (June 2012): 38–43. http://dx.doi.org/10.4028/www.scientific.net/amr.544.38.

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This paper analyzes the machining process of CNC machine tools, and builds an optimization model of the machining process parameters based on the mechanical vibration and the operational research. The model mixed genetic algorithm and particle swarm optimization (PSO) is built. It proposes an optimization algorithm that has higher convergence precision and execute ability to solve engineering problem with nonlinear and multi-extremum. According to case study, it proves the correctness of the model and the efficiency and high-performance nature of the designed optimization algorithm. It also ap

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Lan, Tian-Syung. "Fuzzy Linguistic Optimization on Surface Roughness for CNC Turning." Mathematical Problems in Engineering 2010 (2010): 1–10. http://dx.doi.org/10.1155/2010/572506.

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Surface roughness is often considered the main purpose in contemporary computer numerical controlled (CNC) machining industry. Most existing optimization researches for CNC finish turning were either accomplished within certain manufacturing circumstances or achieved through numerous equipment operations. Therefore, a general deduction optimization scheme is deemed to be necessary for the industry. In this paper, the cutting depth, feed rate, speed, and tool nose runoff with low, medium, and high level are considered to optimize the surface roughness for finish turning based onL9(34)orthogonal

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PRAMOD, KOSHTI. "OPTIMIZATION OF CUTTING PARAMETERS TO ENHANCE SURFACE FINISH." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 05 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem33326.

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The Objective of this project work is to Productivity and Surface finish improvement in CNC Die and Punch machining through optimization in cutting parameters. This technical paper studies the different machining parameters i.e. DOC, cutting feed and cutting speed by using different material cutters like cemented carbide cutters, HSS cutters, Insert types cutters. In this thesis an attempt to make use of Japanese optimization technique to optimize cutting parameters during high-speed milling of aluminum alloy using cemented carbide cutting tool.

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Anggraini, Lydia, and Ivan Junixsen. "OPTIMATION PARAMETERS OF CNC MILLING PROGRAMMING MACHINE ON THE PROCESS TIME AND ITS EFFECT ON THE EFFICIENCY." Journal of Mechanical Engineering and Mechatronics 3, no. 2 (2019): 62. http://dx.doi.org/10.33021/jmem.v3i2.538.

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The problems revealed in this research is about Optimization parameters of CNC milling programing machine on the process time and its effect on the efficiency. The purpose of this research are to know the effect of feed rate, depth of cut, and maximum stepdown on processing time in CNC milling programming and searching for the best machining parameters that yield optimal processing time on CNC milling programming. The result can be in the simulation of machining distance or operation time, length of feed step or feed cut length, and length of step without feeding or fast traverse length. Exper

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Fan, Jin Wei, Qin Mei, and Xiao Feng Wang. "Robust PID Parameters Optimization Design Based on Improved Particle Swarm Optimization." Applied Mechanics and Materials 373-375 (August 2013): 1125–30. http://dx.doi.org/10.4028/www.scientific.net/amm.373-375.1125.

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The article, based on satisfying robustness of the system and put forward the objective function of time-domain performance and dynamic characteristics, introduced genetic operators into Particle Swarm Optimization. The algorithm improve the diversity of particles by selection and hybridization operations and strengthen the excellent characteristics of particles in the swarm by introducing crossover and mutation genes, which can avoid bog down into local optima and premature convergence and enhance searching efficiency. The simulation results indicate that when the algorithm is applied to the

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Ravikumar, R., and M. Mohamed Abdul Hafeez. "Investigation of Machining Parameters for Burr Minimization in CNC Turning of Brass Using RSM and GA." Applied Mechanics and Materials 627 (September 2014): 54–59. http://dx.doi.org/10.4028/www.scientific.net/amm.627.54.

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CNC turning is one among the metal cutting process in which quality of the finished product depends mainly upon the machining parameters such as feed, speed, depth of cut, type of coolant used, types of inserts used etc. Similarly the work piece material plays an important role in metal cutting process. This study involves in indentifying the optimized parameters in CNC turning of Brass. To identify and measure the formation of burrs in the turned samples, are examined under scanning electron microscope (SEM). The optimization techniques used in this study are Response surface methodology, and

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JAROSZ, Krzysztof, and Piotr LÖSCHNER. "THE EFFECT OF CHANGES IN DEPTH OF CUT ON SURFACE ROUGHNESS IN MACHINING OF AISI 316 STAINLESS STEEL." Journal of Machine Engineering Vol.18, No.1 (2018): 73–80. http://dx.doi.org/10.5604/01.3001.0010.8824.

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Currently, process optimization is an important part of design of CNC toolpath, allowing overall process improvement in accordance to a range of criteria. Available CAE software for CNC toolpath optimization works only by changing the feed rate value specified in the base toolpath. The authors are planning to devise a solution allowing for optimization of other process parameters, including depth of cut. In some cases, it would be important for surface roughness to remain unaltered after optimization by means of increasing depth of cut. In this work, the effect of depth of cut on surface rough

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SWATI, ARVIND KEKADE, and V.V. POTDAR PROF. "PARAMETRIC OPTIMIZATION FOR IMPROVED SURFACE FINISH IN CNC TURNING OPERATION." IJIERT - International Journal of Innovations in Engineering Research and Technology NITET-18 (March 17, 2018): 1–9. https://doi.org/10.5281/zenodo.1453927.

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<strong>The parameters affecting the roughness of surfaces produced in the turning process for various materials have been studied by many researchers. Design of experiments were conducted for the analysis of the influence of the turning parameters such as cutting speed,feed rate and depth of cut on the surface roughness. This paper presents a novel approach for the optimization of machining parameters on turning of the tool work piece combination of the Raw material HCHCr wit h cemented carbide and CBN tool . The parameters � Speed,Feed and Depth of cut to be maintained for HCHCr were determi

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Sun, Xianghan, Ning Liu, Rui Shen, Kexin Wang, Zhijie Zhao, and Xianjun Sheng. "Nonlinear PID Controller Parameters Optimization Using Improved Particle Swarm Optimization Algorithm for the CNC System." Applied Sciences 12, no. 20 (2022): 10269. http://dx.doi.org/10.3390/app122010269.

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In this paper, a nonlinear PID (NLPID) controller is used to replace a traditional PID controller to overcome the influence of nonlinear factors in the computer numerical control (CNC) system. A particle swarm optimization based on a generalized opposition-based learning (G-PSO) algorithm is proposed to optimize the NLPID controller. The convergence speed and global optimization ability of the particle swarm optimization (PSO) algorithm are improved by introducing generalized opposition-based learning. The natural selection mutation is introduced into the G-PSO algorithm to further avoid the p

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Chang, Ping-Yueh, Po-Yuan Yang, Shao-Hsien Chen, and Jyh-Horng Chou. "Hybrid Optimization Method for Correcting Synchronization Errors in Tapping Center Machines." Applied Sciences 11, no. 8 (2021): 3441. http://dx.doi.org/10.3390/app11083441.

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A hybrid method is proposed for optimizing rigid tapping parameters and reducing synchronization errors in Computer Numerical Control (CNC) machines. The proposed method integrates uniform design (UD), regression analysis, Taguchi method, and fractional-order particle swarm optimizer (FPSO) to optimize rigid tapping parameters. Rigid tapping parameters were laid out in a 28-level uniform layout for the experiments in this study. Since the UD method provided a layout with uniform dispersion in the experimental space, the UD method’s uniform layout provided iconic experimental points. Next, the

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Lee, Chan-Young, Soon-Hong Hwang, and Byung-Kwon Min. "Simulation-based optimization of CNC interpolator parameters for machining accuracy improvement." International Journal of Advanced Manufacturing Technology 119, no. 5-6 (2022): 3757–70. http://dx.doi.org/10.1007/s00170-021-08434-z.

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Mohanavel, V., J. Vairamuthu, C. Ramesh Kannan, et al. "CNC Machining parameters optimization of AA7050 with reinforcement of ZrO2 composites." IOP Conference Series: Materials Science and Engineering 988 (December 16, 2020): 012120. http://dx.doi.org/10.1088/1757-899x/988/1/012120.

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Li, Congbo, Lingling Li, Ying Tang, Yantao Zhu, and Li Li. "A comprehensive approach to parameters optimization of energy-aware CNC milling." Journal of Intelligent Manufacturing 30, no. 1 (2016): 123–38. http://dx.doi.org/10.1007/s10845-016-1233-y.

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Li, Jiang, Jiutao Zhao, Qinhui Liu, Laizheng Zhu, Jinyi Guo, and Weijiu Zhang. "Optimization of CNC Turning Machining Parameters Based on Bp-DWMOPSO Algorithm." Computers, Materials & Continua 77, no. 1 (2023): 223–44. http://dx.doi.org/10.32604/cmc.2023.042429.

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Lee, Yubin, Alin Resiga, Sung Yi, and Chien Wern. "The Optimization of Machining Parameters for Milling Operations by Using the Nelder–Mead Simplex Method." Journal of Manufacturing and Materials Processing 4, no. 3 (2020): 66. http://dx.doi.org/10.3390/jmmp4030066.

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The purpose of machining operations is to make specific shapes or surface characteristics for a product. Conditions for machining operations were traditionally selected based on geometry and surface finish requirements. However, nowadays, many researchers are optimizing machining parameters since high-quality products can be produced using more expensive and advanced machines and tools. There are a few methods to optimize the machining process, such as minimizing unit production time or cost or maximizing profit. This research focused on maximizing the profit of computer numerical control (CNC

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Anggoro, P. W., A. A. Anthony, B. Bawono, et al. "CNC milling of EVA foam with varying hardness for custom orthotic shoe insoles and process parameter optimization." Journal of Mechanical Engineering and Sciences 13, no. 3 (2019): 5347–70. http://dx.doi.org/10.15282/jmes.13.3.2019.10.0436.

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CNC milling strategy of EVA foam with varying hardness to provide a high degree of surface roughness of orthotic shoe insoles is presented in this work. Machining parameters (tool path strategy, spindle speed, feed rate, and step over) in addition to hardness material and wide tolerance insoles were optimized using a hybrid approach of Taguchi-Response Surface Methodology (TM-RSM). The aim of this research was to develop mathematical models and determine the optimum machining parameters which could be applied for the CNC milling of EVA foam as the insoles. Experiments were performed on a CNC m

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Sayuti, Mohd, Ahmed Aly Diaa Mohammed Sarhan, and Mohd Hamdi Bin Abd Shukor. "Optimizing the Machining Parameters in Glass Grinding Operation on the CNC Milling Machine for Best Surface Roughness." Advanced Materials Research 154-155 (October 2010): 721–26. http://dx.doi.org/10.4028/www.scientific.net/amr.154-155.721.

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Glass is one of the most difficult materials to be machined due to its brittle nature and unique structure such that the fracture is often occurred during machining and the surface finish produced is often poor. CNC milling machine is possible to be used with several parameters making the machining process on the glass special compared to other machining process. However, the application of grinding process on the CNC milling machine would be an ideal solution in generating special products with good surface roughness. This paper studies how to optimize the different machining parameters in gl

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Han, Xuesong, Jianwen Li, Qibo Liu, and Shangping Lu. "CNC machining optimization of hydro-turbine runner blade based on VERICUT." Journal of Physics: Conference Series 2541, no. 1 (2023): 012024. http://dx.doi.org/10.1088/1742-6596/2541/1/012024.

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Abstract Aiming at the problem of low production efficiency caused by the unreasonable setting of cutting parameters for CNC machining of hydro-turbine runner blade, the Force module of VERICUT software is used to analyze and compare the cutting force, the cutting power, and the material removal rate of the blade under different cutting parameters, find the cutting parameters that can give full play to the machining capacity of the machine tool, and use the optimization function of Force to automatically adjust the feed speed in the machining program. The test results show that after the optim

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