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Relevant bibliographies by topics / CNC parameters optimization / Dissertations / Theses

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Dissertations / Theses on the topic 'CNC parameters optimization'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

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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3

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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5

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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7

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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8

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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9

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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10

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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11

Yang, Bei-Hua, and 楊倍驊. "Application of Deep Neural Network to CNC Parameters and Machining Index for Dynamic Performance Prediction and Optimization." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/gsw4px.

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碩士<br>國立中興大學<br>機械工程學系所<br>106<br>CNC machine tools are widely used in the industrial world and play an important role in the manufacturing industry. Due to the prevalence of customized products and a small number of diverse production requirements, it is important to adjust the processing parameters to meet the processing requirements of each product, rather than using traditional trial and error methods, it takes a lot of time and cost. However, the number of CNC controller parameters produced by different manufacturers is large, and there may be interactions between the parameters. In addit

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廖先澍. "Application of Artificial Neural Network to Build CNC Machining Performance Prediction Model and Controller Parameters Optimization System." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/2m96m6.

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碩士<br>國立彰化師範大學<br>機電工程學系<br>107<br>In recent years, with the development of the Fourth Industrial Revolution, smart manufacturing has gradually become the development goal of the manufacturing industry. The machine tool industry has also proposed three processing indicators: speed, accuracy and surface roughness. Adjust the CNC controller parameters according to different processing requirements. Traditionally, it has cost too much to adjust by trial and error, which is not in line with the concept of smart manufacturing. Using an intelligent and time efficient way to get a set of correspondin

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13

Chen, Jheng-Yu, and 陳政宇. "Optimization quality study of cutting parameters for Cr-Mo alloy steel taking CNC machining tool shank as an example." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/rs95sj.

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碩士<br>南開科技大學<br>車輛與機電產業研究所<br>102<br>The shank of CNC center machine tool is a major part which has to hold a cutting tool tightly when cutting, because the design requirement that shank needs to have following characteristics including high hardness, weariness, corrosion under high spindle speed. Simultaneously, in order to meet the design safety, shank also need to have high toughness and strength. SCM 415 is a low carbon chrome molybdenum alloy steel which is a popular material used to make shank with the above mentioned features, however SCM 415 material also had sticky and tough features

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14

BHOWMIK, DEBOTTAM. "FITTING REGRESSION MODEL AND OPTIMIZATION OF CUTTING PARAMETERS IN ORDER TO ACHIEVE ECONOMICAL MACHINING OF A CRYOGENIC SOAKED MAGNESIUM ALLOY." Thesis, 2022. http://dspace.dtu.ac.in:8080/jspui/handle/repository/19107.

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The ultimate aim of a production engineer is to produce a product which is economical in terms of overall cost of production. This motive of attaining economical machining is achieved by analysing the machining process and identifying critical cutting parameters which has definite influence on the machining operation and optimization of these parameters leads to obtaining an economical machining output. In present times, many industries are giving more importance in reducing the overall cost of production and in this regard reduction in weight of the work material has become necessa

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15

Wei, Tsung-kuei, and 韋宗桂. "Parameter Optimization Study of Ceramic (ZrO2) Injection Molding Sintered Part Grinding with CNC." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/60307342416406178386.

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碩士<br>逢甲大學<br>材料與製造工程所<br>98<br>The objective of this study is to introduce the effect of roughness for different parameters such as spindle speed, grinding depth, grinding speed, step over distance, and diamond tools in ceramics injection molding sintered part by using Taguchi’s method on a three-axis engraving machine and then to determine the optimal grinding parameters. The optimal parameters have been determined after using the experiments of the Taguchi’s L18 orthogonal array, analysis of variation (ANOVA). The optimal grinding parameters for the ceramics injection molding sintered part

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16

Wu, Ciou-Lin, and 吳秋霖. "Integration of Neural Network and Taguchi Method for Parameter Optimization and Model Prediction : Case Study in Cutting Process of CNC Machine." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/j2q9uy.

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碩士<br>中原大學<br>工業與系統工程研究所<br>107<br>At present, the application of artificial intelligence in the industry is getting better and better, the amount of data is becoming more and more, and it is necessary to improve production efficiency and reduce costs to bring competitiveness. Therefore, this study uses the data of the CNC machine as the background, using three different methods, namely neural network, Taguchi method and Taguchi combined neural network, to explore the accuracy of the predicted target value. The actual cut value is used as the data of the neural network training, and then the p

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