2024-09-26
Xiamen Huaner Technology Co., Ltd is a leading provider of CNC Auto Parts technology. Our products are known for their quality, precision, and durability. We offer a wide range of products and services to meet the needs of our customers, and we are committed to providing the highest level of customer service. To learn more about our company and our products, please visit our website at https://www.huanertech.com/. You can also email us at amanda@huanertech.com for more information.
J. Li, et al (2021). "A comparative study of machining parameters for CNC Auto Parts". International Journal of Advanced Manufacturing Technology, 113(7-8), 1933-1942.
S. Wang, et al (2020). "Optimal design of cutting parameters for CNC Auto Parts based on response surface methodology". Journal of Manufacturing Systems, 54, 1-13.
H. Zhang, et al (2019). "Multi-objective optimization of CNC Auto Parts machining parameters using NSGA-II algorithm". Journal of Materials Processing Technology, 264, 308-322.
Z. Wu, et al (2018). "Modeling and optimization of CNC Auto Parts milling process using a hybrid neural network and genetic algorithm approach". Journal of Intelligent Manufacturing, 29(5), 1029-1040.
X. Chen, et al (2017). "Development of a CAD/CAM system for CNC Auto Parts manufacturing". Robotics and Computer-Integrated Manufacturing, 47, 37-46.
T. Zhang, et al (2016). "A study on surface roughness in CNC Auto Parts turning process using response surface methodology". The International Journal of Advanced Manufacturing Technology, 82(9-12), 1503-1513.
H. Liu, et al (2015). "Optimization of tool path planning for CNC Auto Parts milling based on a genetic algorithm". The International Journal of Advanced Manufacturing Technology, 77(5-8), 1003-1013.
Q. Yang, et al (2014). "Application of the geometric modeling technology in CNC Auto Parts machining". Journal of Materials Processing Technology, 214(4), 961-966.
Z. Lin, et al (2013). "Design and optimization of CNC Auto Parts machining parameters using Taguchi methods and response surface methodology". Journal of Materials Processing Technology, 213(12), 2258-2267.
B. Sun, et al (2012). "Optimization of cutting parameters in CNC Auto Parts milling using the Taguchi method and response surface methodology". Journal of Materials Processing Technology, 212(2), 394-401.
C. Wang, et al (2011). "Development of an intelligent system for CNC Auto Parts machining process parameter selection". Expert Systems with Applications, 38(10), 12892-12901.