Article
Engineering, Industrial
Shiyu Cao, Hao Nan Li, Wenjian Huang, Qi Zhou, Ting Lei, Chaoqun Wu
Summary: This paper proposes a delamination prediction model for CFRPs using Ultrasonic Vibration Assisted Drilling (UVAD) with the abrasive diamond hole saw or core drill, which can calculate the delamination factor and thickness, thus solving the delamination issue in the drilling process of CFRPs.
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY
(2022)
Article
Mechanics
Linghao Kong, Dong Gao, Yong Lu
Summary: This paper discusses the common damages in CFRP drilling and proposes a new ODR tool to reduce processing damages effectively. Experiments show that machining with the ODR tool results in less thrust force and fewer damages compared to end mills.
COMPOSITE STRUCTURES
(2021)
Article
Polymer Science
Arunachalam S. S. Balan, Chidambaram Kannan, Kunj Jain, Sohini Chakraborty, Siddharth Joshi, Krishna Rawat, Walaa F. Alsanie, Vijay Kumar Thakur
Summary: This study investigates the effect of cryogenic conditions on achieving better hole quality with reduced delamination in CFRP composites. Both numerical analysis and experimental results showed a significant reduction in delamination factor under cryogenic drilling conditions.
Article
Automation & Control Systems
Xuyan Zhang, Wenjian Huang, Chaoqun Wu, Shiyu Cao
Summary: The main purpose of this paper is to develop a method to recognize and measure the drilling-induced burr and delamination in CFRPs based on bimodal threshold segmentation and K-means clustering techniques. Images captured by a specific image capturing setup are used to validate the proposed method. Comparative experiments show that the proposed method can effectively separate burr and delamination, and it is capable of handling strong interfering targets.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2023)
Article
Automation & Control Systems
Wang Shuaipu, Liang Jie
Summary: A variable feed drilling method based on a sinusoidal curve is proposed to reduce delamination damage and improve drilling quality in CFRP drilling. Experimental results show that this method can reduce the thrust force near the hole exit and improve surface quality and hole wall morphology.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2022)
Article
Materials Science, Composites
Caglar Betgul, Ugur Koklu, Sezer Morkavuk
Summary: This study experimentally investigated the effect of using support plates of different thicknesses on drilling carbon fiber reinforced plastics (CFRP). The results showed that increasing the support plate thickness increased the thrust force and reduced the severity of delamination damage.
JOURNAL OF REINFORCED PLASTICS AND COMPOSITES
(2023)
Article
Engineering, Manufacturing
Jae Hoon Ahn, Gyuho Kim, Byung-Kwon Min
Summary: Carbon fiber reinforced polymer (CFRP)/metal stacks have the advantage of high strength-to-weight ratio and compressive strength. However, delamination frequently occurs at the interface between CFRP and metal, even with small thrust force. This study proposes a theoretical model to investigate and prevent the exit-ply delamination caused by cutting torque.
JOURNAL OF MANUFACTURING PROCESSES
(2023)
Article
Materials Science, Multidisciplinary
Amani Mahdi, Souad Makhfi, Malek Habak, Yosra Turki, Zoubeir Bouaziz
Summary: This study investigates the drilling quality and optimization methods of carbon fiber reinforced polymer (CFRP) using response surface methodology (RMS) and artificial neural network (ANN). The results show that drilling quality is influenced by cutting parameters and tool geometry, with entrance delamination and thrust force and torque evolution mainly depending on feed rate, and exit delamination depending on feed rate for step and spur drills and spindle speed and feed rate for twist drill. The ANN model provides more accurate results compared to the RMS. The use of spur drill ensures optimal drilling quality and productivity. The significance of this study lies in the development of an artificial intelligence program for determining optimal drilling conditions without extensive experimentation.
MATERIALS TODAY COMMUNICATIONS
(2023)
Article
Automation & Control Systems
Nafiz Yasar, Mehmet Erdi Korkmaz, Munish Kumar Gupta, Mehmet Boy, Mustafa Gunay
Summary: In the aviation and structural industries, the requirement for smooth holes is a critical safety issue, as the quality of holes can affect the fatigue strength of structures. This study successfully minimized limitations in the machining of carbon fiber-reinforced composite (CFRP)/Ti6Al4V alloy stack material and addressed the delamination problem that may occur in composite laminates by optimizing cutting conditions and selecting appropriate cutting tools.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2021)
Article
Automation & Control Systems
ZiQiang Zhang, Feng Jiao, YuanXiao Li, Ying Niu, JingLin Tong
Summary: This paper investigates the machining performance of longitudinal-torsional ultrasonic-assisted core drilling in carbon fiber-reinforced plastics. The results show that this method significantly reduces cutting force, suppresses delamination, and improves hole quality.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2022)
Article
Polymer Science
Miguel Angel Molina-Moya, Enrique Garcia-Martinez, Valentin Miguel, Juana Coello, Alberto Martinez-Martinez
Summary: This research focuses on the optimization of CFRPs drilling process by varying the feed and spindle speed using two different types of commercial drills. An automatic image processing methodology was developed to evaluate the dimensional accuracy and delamination of the holes. The results indicate that the twist tool allows for more productive cutting conditions compared to the dagger tool.
Article
Engineering, Civil
Qian Wang, Xiaoliang Jia
Summary: This study successfully predicted critical thrust forces in composite laminates under different cutting conditions and determined critical feed rates at different ply locations through drilling tests and theoretical models. The results provide guidance for reducing drilling-induced delamination.
THIN-WALLED STRUCTURES
(2021)
Article
Engineering, Manufacturing
Mete Kayihan, Umut Karaguzel, Mustafa Bakkal
Summary: This study investigated the effect of process parameters and stack order on cutting force and torque of CFRP materials. The results showed that the stacking order had the most significant impact on thrust force and torque values during drilling.
MATERIALS AND MANUFACTURING PROCESSES
(2021)
Article
Engineering, Manufacturing
YuanXiao Li, Feng Jiao, ZiQiang Zhang, ZhiBin Feng, Ying Niu
Summary: This paper investigates the entrance delamination defects in the drilling process of CFRP/Ti6Al4V stacks and compares its influence and differences with the titanium alloy drilling phase. The findings suggest that the use of the high and low frequency vibration-assisted drilling method (CVAD) can effectively suppress the entrance delamination defects of CFRP/Ti6Al4V stacks.
JOURNAL OF MANUFACTURING PROCESSES
(2022)
Article
Engineering, Manufacturing
S. Samsudeensadham, V Krishnaraj
Summary: Carbon fiber reinforced plastic/Ti-6Al-4V stacks are commonly used in aircraft structures due to their high strength-to-weight ratio. This experimental study investigated the use of a grooved drill tool to reduce damage and improve drilling efficiency. The results showed that the grooved drill tool significantly decreased delamination and burr formation compared to the standard tool.
MATERIALS AND MANUFACTURING PROCESSES
(2022)
Review
Automation & Control Systems
Xuanyu Mao, Sergio Almeida, John Mo, Songlin Ding
Summary: This paper provides a comprehensive review of the electrical discharge drilling (EDD) process. Different methods were compared, the advantages and disadvantages of each process were summarized, state-of-the-art technologies and the latest development were introduced, and research trends and new directions were presented.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2022)
Article
Green & Sustainable Science & Technology
Ge Wu, Guangxian Li, Wencheng Pan, Izamshah Raja, Xu Wang, Songlin Ding
Summary: This paper investigates the application of cryogenic minimum quantity lubrication (CMQL) in the machining of titanium thin-wall components. Comparative experiments show that CMQL machining can significantly lower the cutting loads and deformation values of thin-wall parts and enhance the wear resistance of the cutting tool and surface quality. The experimental outcomes demonstrate the feasibility of CMQL in improving the machinability of thin-wall components made from difficult-to-cut material.
JOURNAL OF CLEANER PRODUCTION
(2022)
Review
Engineering, Manufacturing
Xiangzhi Wang, Chaojiang Li, Hun Guo, Songlin Ding
Summary: This paper provides an overview of methods and technologies to improve the efficiency and surface quality of PCD machining, along with their underlying mechanisms. Increasing energy utilization and sparking gap can enhance machining efficiency. Further improvements can be made by changing processing forms, dielectrics, electrode shapes, and power generators.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE
(2022)
Article
Engineering, Industrial
Guangxian Li, Weiwei Xu, Xin Jin, Lu Liu, Songlin Ding, Chaojiang Li
Summary: This study comprehensively investigates the machinability of SLMed stainless steel 316 L in hard turning processes. The typical cutting responses including cutting force, surface roughness, chip formation, and micromorphology of the machined surfaces were analyzed. The new findings reveal the effects of critical machining parameters on the plastic deformation in machining SLMed 316 L.
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY
(2023)
Review
Chemistry, Physical
Chen Zhang, Dongyi Zou, Maciej Mazur, John P. T. Mo, Guangxian Li, Songlin Ding
Summary: Titanium alloys are widely used in various industries for their excellent corrosion resistance and outstanding mechanical properties. However, they are difficult to machine due to their low thermal conductivity and high chemical reactivity. Additively manufactured titanium alloys present additional challenges in machining, such as increased anisotropy and strength. This paper reviews the machining characteristics of additively manufactured titanium alloys, focusing on the effects of anisotropy, porosity, and post-processing treatment, and presents a future outlook for machining these alloys.
Article
Chemistry, Analytical
Guangxian Li, Xuanang Li, Guichao He, Ruiguang Fan, Feiyuan Li, Songlin Ding
Summary: Tungsten carbide is widely used for machining difficult-to-machine materials, and surface microtexturing has been applied to improve its performance. In this study, a straight-groove-array microtexture was fabricated on tungsten carbide tools using a femtosecond laser, and the effects of machining parameters on the material removal rate and surface structure were analyzed. The study revealed the fundamental mechanisms of efficient machining of microtextures on ultrahard materials using an ultrashort laser.
Article
Chemistry, Multidisciplinary
Zhaozhan Chi, Zhenhan Yu, Qianyu Wei, Qiancheng He, Guangxian Li, Songlin Ding
Summary: In this study, a nonholonomically constrained robot with high-precision navigation and path planning capability was designed based on ROS. An improved hybrid A* algorithm was developed to enhance the efficiency and accuracy of global path planning and navigation. The algorithm was evaluated using randomly constructed maps in MATLAB and validated in practical circumstances. The results showed that the improved algorithm achieved precise and efficient navigation and path planning in complex environments.
APPLIED SCIENCES-BASEL
(2023)
Editorial Material
Chemistry, Multidisciplinary
Amy J. C. Trappey, Ching-Hung Lee, John P. T. Mo
APPLIED SCIENCES-BASEL
(2023)
Review
Materials Science, Multidisciplinary
Xuyang Zhu, Guangxian Li, John Mo, Songlin Ding
Summary: This paper reviewed the state-of-the-art technologies applied in machining semiconductors, summarized the advantages and disadvantages of each method, introduced the latest research outcomes, and discussed the future development trend.
JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T
(2023)
Article
Materials Science, Multidisciplinary
Zhukun Zhou, Xing Guo, Helin Jia, Guangxian Li, Xue Fan, Songlin Ding
Summary: This paper investigates the ultra-fast heating process of Cu-Pd bimetallic nanoparticles from an atomic-scale perspective, which is essential for laser manufacturing processes. The behavior of high surface ratio nanoparticles during these processes is strongly influenced by their properties and the heating process, which is governed by atomic dynamics. This work demonstrates that the ultra-fast atomic dynamic process between bimetallic nanoparticles differs significantly from previous studies on pure metallic nanoparticles.
Article
Automation & Control Systems
Ge Wu, Xuanyu Mao, Wencheng Pan, Guangxian Li, Songlin Ding
Summary: This paper investigates the mechanisms and performance of cooling minimum quantity lubrication (CMQL) in milling titanium thin-wall parts. The experiment results show that CMQL has demonstrated its feasibility and superiority in improving machining performance and controlling surface form errors.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2023)
Article
Engineering, Electrical & Electronic
Wei Wei, Guichao He, Jingyi Yang, Guangxian Li, Songlin Ding
Summary: A novel tool wear monitoring method based on variational mode decomposition (VMD) and Hilbert-Huang transformation (HHT) was developed to monitor the wear of carbide tools in machining stainless steel. The characteristic frequency in the GWO-VMD-HHT method is more significant and there is no aliasing compared to the EMD-HHT method. The energy value of IMF3 was utilized to classify the wear state of the cutting tool and achieved an accuracy of 85.48%.
Article
Engineering, Electrical & Electronic
Yuanpeng Wang, Zhaozhan Chi, Meng Liu, Guangxian Li, Songlin Ding
Summary: The aging population has led to the development of healthcare devices, with a focus on preventing injuries caused by accidental falls at home. This paper proposes an improved YOLOv5s algorithm that enhances the efficiency and accuracy of lightweight fall detection. Through various modifications, such as implementing a k-means++ clustering algorithm and adding an SE attention mechanism module, the algorithm achieves higher detection accuracy and speed, making it suitable for embedded devices with limited performance and lower cost.
Article
Thermodynamics
Zhenwei Liu, Cameron Mcgregor, Songlin Ding, Xu Wang
Summary: This paper introduces a novel design of a speed amplified flux switching linear generator for the power take-off unit of an ocean wave energy converter. The design incorporates several innovative features, including semiclosed stator iron cores, four coil phases shifting, and a fixed pulley wheel mechanism. The proposed approach combines analytical techniques, hydrodynamic boundary element analysis, 3D electromagnetic finite element modeling, and machine learning methods, achieving an efficient and effective power take-off design. The experimental results confirm that the proposed flux switching linear generator outperforms conventional permanent magnet linear generators in terms of power output performance. Furthermore, the model is used to simulate and predict the generator's power output under various ocean environments, considering the hydrodynamics of the wave energy converter.
