Article
Automation & Control Systems
Tao Wang, Xiaoyu Wu, Guoqing Zhang, Bin Xu, Yinghua Chen, Shuangchen Ruan
Summary: Micro-milling is a flexible and promising fabrication process, with the study analyzing the influence of seven identified factors on frequency spectrum characteristics. Experimental validation was conducted to correlate the factors to the surface profile models. The research has potential applications in predicting and controlling the spatial content of machined surfaces.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2021)
Article
Automation & Control Systems
Muhammad Yasir, Mohd Danish, Mozammel Mia, Munish Kumar Gupta, Murat Sarikaya
Summary: The study revealed that the cutting speed of 140 m/min and feed rate of 0.025 mm/tooth resulted in the best surface quality, while higher surface roughness values were more prone to stress corrosion cracking.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2021)
Article
Automation & Control Systems
Yicong Du, Qinghua Song, Zhanqiang Liu
Summary: This article investigates the size effect phenomenon and surface topography formation mechanism of micro-end mills in micro milling processes, and presents a comprehensive method to predict micro milling force and surface roughness. Experimental results confirm the accuracy and efficiency of this method.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2022)
Article
Automation & Control Systems
Yunqi Sun, Changfeng Yao, Liang Tan, Minchao Cui, Jianxin Luo, Xuhang Gao
Summary: This paper studies a new process method of vibration finishing directly on the milled surface, explores the method of controlling milling process to affect the surface quality of vibration finishing, and successfully establishes the relevant mapping model. Through experimental research and eigenvalue analysis, it is found that surface roughness is not completely positively correlated with processing time, providing important theoretical and experimental basis for improving the machining quality and stability of aircraft engine parts.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2022)
Article
Materials Science, Textiles
Mridusmita Roy Choudhury, Gorrepotu S. Rao, Kishore Debnath, Rabindra N. Mahapatra
Summary: This study extensively investigated the milling behavior of green composites fabricated using compression molding, optimizing the process parameters of milling operation and identifying two significant parameters affecting the quality of the milling surface. Lower milling-induced force, temperature, and surface roughness can be achieved by selecting a lower depth of cut and end mill cutter during the milling of green composites.
JOURNAL OF NATURAL FIBERS
(2022)
Article
Chemistry, Physical
Jaroslaw Korpysa, Jozef Kuczmaszewski, Ireneusz Zagorski
Summary: This study investigates a precision milling process using conventional end mills and a standard CNC machine tool, showing that this method can produce components with small scatter in dimension values and high accuracy levels. Additionally, the results demonstrate that the type of tool coating and variations in technological parameters can impact the dimensional accuracy and surface quality obtained.
Article
Chemistry, Physical
Issam Abu-Mahfouz, Amit Banerjee, Esfakur Rahman
Summary: This research aims to predict surface roughness during steel end milling by analyzing vibration signals and determine optimal cutting conditions through evolutionary optimization. The comparison of different evolutionary algorithms shows that differential evolution and its variant outperform particle swarm optimization and its variants, and both outperform the canonical genetic algorithm. The study also reveals significant differences in feature selection methods, while no difference in performance was found between the two binarization methods.
Article
Engineering, Manufacturing
Igor Basso, Rodrigo Voigt, Alessandro Roger Rodrigues, Felipe Marin, Adriano Fagali de Souza, Luis Norberto Lopez de Lacalle
Summary: This paper investigates the effects of tool-surface engagement on the finishing of workpieces in free-form milling. The study identifies two cutting mechanisms, Tip-On and Tip-Out, and quantifies the impact of accumulated cutting energy and tool-surface engagement on roughness.
JOURNAL OF MANUFACTURING PROCESSES
(2022)
Article
Materials Science, Multidisciplinary
M. Varatharajulu, Muthukannan Duraiselvam, G. V. Krishna Pradeep, B. Jagadeesh
Summary: Temperature field measurement is necessary in machining processes to understand the thermal characteristics. High temperatures during machining can lead to increased manufacturing costs. This study focuses on measuring tool temperature during end milling of Magnesium AZ31, and considers other responses like surface roughness, machining time, and material removal rate. The correlations between independent and dependent variables are analyzed using historical design, and multi-objective optimization is carried out. The results emphasize the importance of temperature control in improving material quality and tool performance.
MATERIALS CHEMISTRY AND PHYSICS
(2023)
Article
Engineering, Multidisciplinary
Tianji Xing, Xuesen Zhao, Tao Sun, Zhipeng Cui, Liqiang Wu, Guo Li
Summary: In this study, a three-dimensional model was created to analyze the influence of the inclination angle of the milling tool on the surface roughness and explore the optimal inclination angle range for stable milling. The experimental results were consistent with the simulation results, demonstrating the reliability of the proposed model.
PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY
(2023)
Article
Engineering, Aerospace
Xingying Zhou, Henan Liu, Tianyu Yu, Ruiyang Guo, Guangzhou Wang, Yazhou Sun, Mingjun Chen
Summary: High-precision turning is a key manufacturing method for rotary high-precision components, but the vibration generated during the turning process can seriously affect the surface integrity. Therefore, it is crucial to explore the effect of vibration on surface morphology and quality using a 3D surface topography regeneration model in order to predict the performance of high-precision turning.
CHINESE JOURNAL OF AERONAUTICS
(2023)
Article
Computer Science, Information Systems
Bo Li, Xitian Tian
Summary: The research proposes a high-speed precision milling surface roughness prediction method based on PSO-LSSVM, which improves generalization ability through hyperparameter optimization and demonstrates the best prediction accuracy and generalization ability under different cutting parameters.
Article
Chemistry, Multidisciplinary
Cheng-Hung Chen, Shiou-Yun Jeng, Cheng-Jian Lin
Summary: In the metal cutting process of machine tools, the quality of the surface roughness is crucial for improving product performance. This study proposes a back propagation neural network (BPNN) to predict surface roughness and analyzes the influence of milling parameters using ANOVA. Experimental results show that the BPNN method achieves higher prediction accuracy.
APPLIED SCIENCES-BASEL
(2022)
Article
Automation & Control Systems
Matej Pesice, Petr Vavruska, Jiri Falta, Pavel Zeman, Jan Maly
Summary: By conducting machining experiments on planar samples at different orientation angles, it was found that the transverse roughness of the final surface depends on the cutting edge geometry of the ball-end milling tools used. The required surface roughness can be guaranteed by setting specific lead angles. Additionally, the minimum lead angle limit can be determined based on the geometric properties of the milling tool, and the relationship between the evaluated roughness parameters Ra and Rz was identified.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2023)
Article
Chemistry, Multidisciplinary
Zuzana Gresova, Peter Izol, Marek Vrabel, Lubos Kascak, Jozef Brindza, Michal Demko
Summary: This study compared the quality of freeform surfaces made by 3- and 5-axis milling using three commonly used strategies. The results showed that 5-axis milling with linear and spiral strategies had smaller negative deviations compared to 3-axis milling, while positive deviations were 48% smaller. Evaluation of surface roughness showed that the milling method did not significantly affect surface quality in the linear strategy, but the offset and spiral strategies achieved better results in 5-axis milling compared to 3-axis milling.
APPLIED SCIENCES-BASEL
(2022)