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Relevant bibliographies by topics / CNC parameters optimization

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Academic literature on the topic 'CNC parameters optimization'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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Journal articles on the topic "CNC parameters optimization"

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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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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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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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Dissertations / Theses on the topic "CNC parameters optimization"

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Reiling, Anthony J. "Convolutional Neural Network Optimization Using Genetic Algorithms." University of Dayton / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1512662981172387.

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LEE, LIEN-TSUN, and 李連村. "The Study of CNC Machining Performance Parameters Optimization." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/vk8278.

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碩士<br>逢甲大學<br>機械與電腦輔助工程學系<br>105<br>Tool machining performance parameters have a very big impact on contour accuracy and processing time. At present only when a group of machine tool factory machining performance-related parameters to use for processing, so the best performer of the parameters are finishing factory settings, so processors for roughing and the second roughing, can not be shorter processing time to complete. This article is available for the relevant parameters Factory adjustment tools, the use of Taguchi experimental method selected time-related factors several key paramete

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陳穆臻. "Determining machining parameters on CNC lathes using heuristic optimization algorithms." Thesis, 1997. http://ndltd.ncl.edu.tw/handle/88161272459788422397.

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Peng, Li-Hsien, and 彭立賢. "Application of the Neural Network to CNC Controller Parameters Optimization." Thesis, 2019. http://ndltd.ncl.edu.tw/cgi-bin/gs32/gsweb.cgi/login?o=dnclcdr&s=id=%22107NCHU5311062%22.&searchmode=basic.

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碩士<br>國立中興大學<br>機械工程學系所<br>107<br>CNC machine tools play an important role in the mechanical industry. When the CNC machine tool is used for machining, there are three kinds of the processing indexes such as speed, accuracy and surface quality. Due to the Industry 4.0. the products are gradually oriented towards the trend of low volumes and high product variety. After the machine tool has been shipped from the factory, it will be set a set of standard controller parameter. But this set of controller parameter can’t conform all kinds of processing requirement. Therefore, it is extremely importa

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Chiu, Hung-Wei, and 邱泓維. "Intelligent Machining Expert System Based on CNC Controller Parameters Selection and Optimization." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/08674350824389150375.

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碩士<br>國立中興大學<br>機械工程學系所<br>105<br>Computer numerical control (CNC) machine tools are universal machinery in industry. The aerospace materials, military products, semiconductors, and precision components all use CNC machine tools to manufacture. Each product all has the unlike characteristics, thus, it also has the different machining requirements during manufacturing process. In general, the industry usually regards the machining cycle time, milling accuracy, and smooth surface as the machining performance indexes of machine tool. It often has the problems for the three requirement indexes whe

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Tung, Fan-Yi, and 董方羿. "The Study of Process Parameters Optimization at the Stage of CNC Controller Prototype Test." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/6244rd.

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碩士<br>國立高雄應用科技大學<br>工業工程與管理系碩士在職專班<br>105<br>In the application and adjustment of a CNC controller, parameters are critical factors influencing processing speed and precision. However, the mentoring method commonly adopted in workplaces to instruct employees to set parameters based on experience derived from trial and error requires excessive time on parameter adjustment and does not necessarily attain satisfactory outcomes and efficiency. Thus, the present study aims to determine a procedure for optimizing process parameters. The Taguchi method was employed to select key experimental paramete

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Chen, Yi-Sheng, and 陳易聖. "Application of Deep Neural Network combined with Genetic Algorithm in CNC Motion Control Parameters Optimization." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/60872857967668738528.

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碩士<br>國立中興大學<br>機械工程學系所<br>105<br>The research provide a rapidly tuning method of CNC motion control parameters to bring the performance of the machine tool into full play base on the dynamic characteristic. Currently, the machine tool industries stll tune the CNC parameters base on the experience of the technicians and it will be insufficient in the need of small amount but diverse production lines. The rapidly tuning method is completely automatic and it can improve the efficiency of tuning and the cost of technicians greatly. The CNC motion control parameters includes feedrate and other six

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Chen, Wei-Chang, and 陳蔚強. "Optimization of Parameters for CNC Machine Tracking Control with Cross-coupled Pre-compensation Method Using Genetic Algorithm." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/26740168952660518801.

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碩士<br>國立交通大學<br>工學院碩士在職專班精密與自動化工程學程<br>93<br>ABSTRACT Genetic algorithm is used as a tool to find the optimal gains for contour control of biaxial CNC machine tools in this work. In the past, this was usually done by trial and error, which became difficult and inefficient when the system became large and complicated. The addressed contour control schemes for CNC machine tools include conventional tracking system (Uncoupled system, US) , Cross-coupled biaxial control (CCS), and Cross-coupled pre-compensation control (CCPM ). The successful implementation of genetic algorithm in sequential dete

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Che, Chen Tsun, and 陳聰哲. "The Study of Process Parameters Optimization on CNC Lathe - A Case Study on the Manufacture of BIT." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/20019124239306865194.

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碩士<br>南台科技大學<br>工業管理研究所<br>97<br>In traditional manufacturing industry, there are mainly two solutions for seeking assistance when defect rate is too high. One is getting help from contractors while the second is testing piece by piece in order to cutting down the defect rate. The disadvantages of the solutions are the solutions are not very efficient when facing special processes. Furthermore, it is not easy to find out errors and the whole testing needs to be re-done again. If there are too many errors, the stability of the process still cannot be improved even spending a lot of manpower and

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Chang, Ching-Shui, and 張清水. "An Investigation on Optimization Parameters of Roughness and Roundness by Boring with a CNC Turning Machine Center." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/77972538788527004960.

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碩士<br>國立屏東科技大學<br>機械工程系所<br>104<br>In this study a CNC turning machine center is used for boring S45C carbon steel, the characteristics of surface roughness and the hole roundness are investigated respectively. In addition, the optimum parameters are obtained by using single objective quality analysis with conducting arranged experiments. An orthogonal array of Taguchi method is used to arrange the boring parameters, including spindle speed, feed rate, cutting amount of workpiece. The measurements of surface roughness and the hole roundness are conducted. The results showed that a 1.2468μm for

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Book chapters on the topic "CNC parameters optimization"

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Saini, Surendra Kumar, and Prashant Kumar. "CNC Turning Process Parameters Optimization for Stainless Steel." In Algorithms for Intelligent Systems. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4862-2_6.

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Kumar, Sandeep, and Abhishek Singh. "Optimization of CNC Green Milling Process Parameters: An Integrated MCDM Approach." In Advances in Forming, Machining and Automation. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-3866-5_30.

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Morais, Hélder, Amir Baraati, and Ricardo Torcato. "Cutting Parameters Optimization for CNC Rotary Ultrasonic Grinding of a Crystal Glass." In Production Processes and Product Evolution in the Age of Disruption. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-34821-1_66.

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Mistry, Mahir, and Greegory Mathew. "Optimization of Process Parameters in CNC Turning of Hastelloy C276 Through Taguchi Method." In Proceedings of International Conference on Intelligent Manufacturing and Automation. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-7971-2_45.

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Nand, Sachchida, Manvandra K. Singh, and C. M. Krishna. "Optimization of CNC Milling Parameters for Al-CNT Composites Using an Entropy-Based Neutrosophic Grey Relational TOPSIS Method." In Evolutionary Optimization of Material Removal Processes. CRC Press, 2022. http://dx.doi.org/10.1201/9781003258421-9.

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Nangare, Akshay S., and V. S. Jadhav. "Optimization of Process Parameters for Machining of EN8 Steel on CNC Vertical Milling Machine." In Lecture Notes on Multidisciplinary Industrial Engineering. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-4550-4_31.

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Nguyen, Huu-That, Minh-Quan Nguyen, Nguyen-Anh-Vu Le, and Ngoc-Chien Vu. "Multi-objective Optimization of Cutting Parameters in CNC Turning for Surface Roughness and Productivity." In Lecture Notes in Mechanical Engineering. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-99666-6_33.

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Bhatia, Anmol, Mayank Juneja, and Nikhil Juneja. "Optimization of Input Parameters for CNC Turning of SS304: A Grey Relational Analysis and Response Surface Methodology Approach." In Lecture Notes in Mechanical Engineering. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5519-0_34.

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Devadasan, S. R., S. T. Kiruba Shankaran, A. K. Deepak Raj, R. Narain Krishna, and S. Hariharan. "Multi-objective Optimization of CNC Turning Parameters of Grey Cast Iron Using Response Surface Methodology and Genetic Algorithm." In Lecture Notes in Mechanical Engineering. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-9809-8_35.

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Bagal, Dilip Kumar, Ajit Kumar Pattanaik, Dulu Patnaik, Abhishek Barua, Siddharth Jeet, and Surya Narayan Panda. "Multi-objective Optimization and Experimental Investigation of CNC Oxy-Fuel Gas Cutting Parameters Using Taguchi Coupled Data Envelopment Analysis." In Recent Advances in Mechanical Infrastructure. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-32-9971-9_9.

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Conference papers on the topic "CNC parameters optimization"

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Wang, Yidi, Yongsheng Zhou, Xuena Sun, Zhongwen Cheng, and Jingyang Na. "Research on Data-Driven Optimization Algorithm for Machining Parameters of CNC Lathe." In 2025 International Conference on Electrical Drives, Power Electronics & Engineering (EDPEE). IEEE, 2025. https://doi.org/10.1109/edpee65754.2025.00194.

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Chen, Bingquan, Qingwen Zheng, Quan Qiu, and Ning Hu. "Multi-step CNC Turning Process Parameter Optimization Method based on Differential Evolution Algorithm." In 2024 8th International Conference on Electrical, Mechanical and Computer Engineering (ICEMCE). IEEE, 2024. https://doi.org/10.1109/icemce64157.2024.10862321.

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Song, Pengfei, Chunhui Dai, and Zhiqiang Long. "Research on Parameter Optimization of Levitation Controller for Fast Maglev Train." In 2024 China Automation Congress (CAC). IEEE, 2024. https://doi.org/10.1109/cac63892.2024.10865004.

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Yi, Qian, Ying Tang, Congbo Li, and Pengyu Li. "Optimization of CNC machine processing parameters for low carbon manufacturing." In 2013 IEEE International Conference on Automation Science and Engineering (CASE 2013). IEEE, 2013. http://dx.doi.org/10.1109/coase.2013.6654011.

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Romo, E. Gutierrez, and J. Caldero´n. "Optimization of CNC Cutting Parameters by the Electrical Power Method: Turning Case." In ASME 2005 International Mechanical Engineering Congress and Exposition. ASMEDC, 2005. http://dx.doi.org/10.1115/imece2005-80990.

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As machining processes become one of the most common kinds of manufacturing processes in industry, it becomes imperative to optimize cutting parameters in order to reduce machining times and increase surface quality. This is specially true when piece geometry demands high rates of material removal. In previous work by the authors, piezoelectric dynamometers have been used to find cutting forces which in turn allows finding of optimal cutting parameters. Although the methodology reported has proved to be very effective, its application in the production line has not been straightforward as the

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Li, Dong-Yang, Feng-Zhe Yin, Cheng-Dao Piao, De-Chao Wang, Shi-Hao Quan, and Shi-Hao Chen. "Research on optimization of CNC milling parameters based on multi-island genetic algorithm." In 2021 8th International Forum on Electrical Engineering and Automation (IFEEA). IEEE, 2021. http://dx.doi.org/10.1109/ifeea54171.2021.00095.

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Wambua, J. M., F. M. Mwema, E. T. Akinlabi, and Buddi Tanya. "Optimization of CNC Milling of General-Purpose Poly (Methyl Methacrylate)." In ASME 2021 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/imece2021-68756.

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Abstract The purpose of this study was to investigate the impact of CNC milling parameters on the material removal rate (MRR) and surface roughness (Ra) of the general-purpose PMMA. The milling parameters considered were cutting speed, axial depth of cut and feed rate, each having four levels obtained through experimental trial and error. The levels were 300 rpm, 700 rpm, 1300 rpm, and 2000 rpm for the cutting speed; 0.3 mm, 0.8 mm, 1.5 mm, and 2 mm for the axial depth of cut; and 50 mm/min, 100 mm/min, 200 mm/min, and 350 mm/min for the feed rate. The Taguchi technique was used to design the

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Kechagias, John, Menelaos Pappas, Stefanos Karagiannis, George Petropoulos, Vassilis Iakovakis, and Stergios Maropoulos. "An ANN Approach on the Optimization of the Cutting Parameters During CNC Plasma-Arc Cutting." In ASME 2010 10th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2010. http://dx.doi.org/10.1115/esda2010-24225.

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The objective of the present study is to develop an Artificial Neural Network (ANN) in order to predict the bevel angle (response variable) during CNC plasma-arc cutting of St37 mild steel plates. The four (4) input parameters (plate thickness, cutting speed, arc ampere, and torch standoff distance) of the ANN was selected following the results (relative importance) of the Analysis Of Variance (ANOVA) performed based on seven (7) factors (plate thickness, cutting speed, arc ampere, arc voltage, air pressure, pierce height, and torch standoff distance) in a previous study. A multi-parameter opt

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Patil, Rohit S., and S. M. Jadhav. "Boring parameters optimization for minimum surface roughness using CNC boring machine with passive damping material." In 2017 2nd International Conference for Convergence in Technology (I2CT). IEEE, 2017. http://dx.doi.org/10.1109/i2ct.2017.8226140.

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Roy, Rakesh, Mohaiminul Islam, Mst Jeba Shazida, et al. "Optimization of Process Parameters in CNC End Milling of Mild Steel Using Response Surface Methodology." In 7th Bangladesh International Conference on Industrial Engineering and Operations Management. IEOM Society International, 2024. https://doi.org/10.46254/ba07.20240048.

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