Aiming at the defects such as burr and tear on the surface of aviation T800 composite with fabric layer, the milling tests of different structural tools were carried out. The effects of fiber cutting angle, tool structure, milling parameters and tool wear on the milling surface quality of T800 composites were studied. The results show that burrs occur more easily in the range of fiber cutting angle of 90° – 180°, but there are few burrs in the acute angle area; Based on the principle of multi-edge micro element milling, using corn milling cutter and diamond coated milling cutter with micro edges can effectively inhibit the generation of burrs in milling of T800 composites with fabric layer; Under the conditions of 8000– 10000 r/min spindle speed and 200 – 300 mm/min feed speed, when the axial depth of cut reaches 2.0 – 2.5 mm, excellent machining quality can still be obtained; Diamond coated milling cutter with micro-edges has longer life and lesser surface burr defects.

Carbon fiber reinforced polymers (CFRPs) have been extensively used in the aviation field due to their superior physical properties and flexible structural functions. Drilling is a critical manufacturing process to realize the assembly of CFRP structural parts. Due to the heterogeneous and anisotropic characteristics of CFRPs, the hole-making process entails complex chip removal and surface generation mechanisms, prone to serious machining-induced defects. To date, worldwide scholars have carried out numerous investigations on the defect formation and suppression mechanisms of CFRPs. Based on the comprehensive literature survey, this paper firstly describes the chip removal mechanisms and drilling process of CFRPs, then classifies the CFRP drilling defect modes, and briefly reviews the CFRP drilling defects such as delamination, tearing, burrs, etc. The fundamental formation mechanisms of these defects are investigated, and the impacts of process conditions on the generation of CFRP hole defects are discussed. Finally, this paper summarizes the existing defect suppression strategies for CFRPs and points out the future development directions

The transmission shaft made of CFRP pipe is widely used in high-tech fields such as UAV and new energy vehicles because of the excellent performances. The buckling degree of non-axially distributed fibers in CFRP pipe determines its initial bending stress, which affects the axial force and machining damage during drilling process. In this presented paper, a finite element simulation model of CFRP pipe drilling is established, and the influence of pipe diameter on the thrust force and damage characteristics during CFRP pipe drilling is further studied by combining with simulation and experiment. The results show that the established finite element model of CFRP pipe drilling has high reliability. The drilling outlet and inlet of CFRP pipe are easy to produce serious push out delamination and peel delamination under the action of the stripping force of spiral groove and the axial force of drill bit. The drilling axial force and outlet delamination damage show a“ V” trend with the increase of pipe diameter. There are obvious burr and delamination damage at the drilling outlet, and the delamination damage factor changes slightly with the increase of pipe diameter. The stripping  length of the material at the drilling inlet and the maximum deflection of the material at the drilling outlet increase with the increase of the pipe diameter. The maximum stress of the material that contacts the drill bit first decreases first and then increases with the increase of pipe diameter, and reaches the minimum when the inner diameter of the pipe is 12 mm.

Carbon fiber reinforced plastics (CFRP) are more widely used in aeronautics and astronautics industries, the machinability of the material has attracted many researches. The precise prediction of the force behavior and the cutting temperature in the cutting process is the base of the verification for the accuracy of the finite element model (FEM) and an important method for understanding and optimizing the process. Therefore, the review of modeling and prediction of force and thermal characteristics is helpful for researchers to master the cutting process and provide some reference. This article mainly introduces the modeling methods and process of material constitutive and damage failure models, and summarizes the prediction results of force and thermal properties of different models in orthogonal cutting, drilling and milling processes. Finally, the conclusion of the current finite element force and thermal simulation prediction models are summarized, and the existing problems and the direction of further exploration in this field are pointed out.

The cutting edge radius is an important factor affecting the machining quality of carbon fiber reinforced polymers (CFRP). In order to study the influence of cutting edge radius on cutting mechanism in CFRP milling process, a two-dimensional micro simulation model was established. The accuracy of the cutting model was verified by comparing the cutting force obtained from the experiment with the simulation value. Using this model, the changing rules of cutting force, cutting mechanism and subsurface damage under different cutting edge radius were analyzed. The results show that the influence of fiber orientation on cutting force is greater than that of cutting edge radius. When the fiber orientation is 45°, the cutting force increases with the increase of edge radius, but fluctuates less at the other fiber direction angles with the change of edge radius. With the increase of the cutting edge radius, the cutting process of CFRP changes from shear failure to bending failure. Small cutting edge radius causes small subsurface damage depth and small cutting force. However, it will lead to excessive stress at the edge, and there is a risk of tipping.

Particle reinforced aluminum matrix composites (PRAMCs) have excellent mechanical properties and are widely used in aviation industry. However, due to the large difference in mechanical properties between the reinforcing particles and the aluminum matrix, as well as the dispersion distribution of the reinforcing particles in the aluminum matrix, PRAMCs are difficult to process materials. This paper mainly reviews the research status of the effect of PRAMCs on the cutting force, cutting temperature and machining quality of PRAMCs in the process of turning, milling and assisted machining, and the future research on PRAMCs was prospected. The study provides a theoretical basis for PRAMCs machining, which is of guiding significance for improving the level of industrial production and processing.

As a kind of automated loading and unloading, handling equipment and high-precision transportation platform, the AGV mobile platform has a wide range of applications in the fields of smart factories, smart warehousing and smart logistics. It is of great significance for the research of AGV automatic navigation and positioning. Aiming at the application scenarios of AGV motion millimeter-level spatial positioning accuracy, this paper studies an angle measurement method of orthogonal line laser scanning mechanism and photoelectric sensor network perception, and proposes a spatial positioning method based on a virtual camera projection model. The system parameter calibration method that is based on the beam adjustment method is studied to realize the high-precision 3D positioning of the AGV mobile platform.

Real-time intelligent control of production equipment can effectively improve production efficiency and production quality, but the current research on intelligent manufacturing mainly focuses on workshop management and production scheduling, and the application scenarios are mostly occasions with low real-time performance. For this problem, the integration method of data collection module was studied based on the open CNC system, and a real-time data collection platform based on Kafka message queue and MongoDB database cluster was established which realized the real-time reception of processing data and the local preservation of data. A chatter online monitoring method based
on nonlinear energy operator was proposed and deployed in the open CNC system with modularity. The real-time data acquisition platform and the online chatter monitoring module were verified by milling thin-walled parts in real time and effectiveness.

Fatigue failure is the main failure mode of mechanical failure. The effects of mirror milling and chemical milling on fatigue performance of 2024 Al alloy were analyzed in this paper. The fatigue properties of 2024 Al alloy were explored at 130 MPa, 140 MPa and 149 MPa stress levels by using group test method. The results show that the overall stability of the mirror milling is better than that of the chemical milling, the tensile strength is comparable, and the standard deviation of the life of the mirror milling test pieces is about three times that of the chemical milling; the median logarithmic fatigue life of the mirror milling test pieces is better than that of the chemical milling at all three stress levels. The relationship curves between stress level and fatigue life of 2024 Al alloy at 50%, 95% and 99.9% survival rates are obtained, which provide a reference for quantitative analysis of the effects of mirror milling and chemical milling processes on fatigue performance of the material.

In order to meet the urgent needs of optoelectronic devices and optical windows for transparent electromagnetic interference shielding materials with high optical transmittance and outstanding shielding effectiveness, research on electromagnetic shielding performance of transparent metal-mesh film is carried out. Metal-mesh films with different grid shapes, line widths and thicknesses are fabricated through the process of blading silver nanoparticle ink and electroplating Cu into the imprinted microgrooves. The effects of different structure parameters on the electromagnetic shielding, light transmittance and electrical conductivity of metal-mesh films are tested and analyzed. Results indicate that the fabricated metal-mesh film exhibits a shielding effectiveness (SE) up to 35 dB (0.95–18 GHz) and a sheet resistance less than 0.2 Ω/sq at 85% transmittance and 3% haze. Compared with other structure parameters, the increase of the thickness of the metal-mesh film can significantly improve its electromagnetic shielding effectiveness without affecting the optical performance.

Widespread applications of titanium alloy material in helical milling have been significantly increasing in the aircraft manufacturing process. As one of the most important physical quantity, the cutting force can reflect the essence of interaction between tool and workpiece. However, it is difficult to predict the cutting force accurately due to the special eccentric machining method of helical drilling. The traditional experience model based on experiment has low efficiency and poor applicability, which can’t meet the demand of cutting force prediction in actual working condition. With the development of numerical calculation method and finite element technique, the modeling of cutting force based on metal cutting theory has reflected many advantages and became one of the focuses of the research on the cutting force of holemaking by helical milling. In this paper, the unique advantages of analytical model are analyzed based on the illustration of two-dimensional cutting theory, and the development status and trend of cutting force model for helical milling of titanium alloy are summarized, focusing both on the finite element model and the thermo-mechanical coupling model.

TC25 titanium alloy is a material widely used in the aviation manufacturing field. In order to balance the machining efficiency and surface quality in milling, an improved particle swarm optimization algorithm was proposed to optimize the machining parameters. Firstly, based on the machining efficiency model and surface quality model, the optimization model of TC25 titanium alloy milling was established. Then, the good point set method was introduced to initialize the population of the particle swarm optimization algorithm, and the adaptive parameters were constructed based  the symbiosis/competition mechanism. At the same time, the optimal updating strategies of individual and population in particle swarm optimization algorithms are established based on dominance relationship and calling mechanism. Finally, the workpiece is machined using optimized parameters and its surface roughness is measured. Through the measurement of 6 points, it is found that the surface roughness after optimization is reduced by 16.7% and the machining efficiency is increased by 36.2%. The roughness instrument verified the optimization results, which can provide a valuable reference for the subsequent processing of TC25 titanium alloy.