Along with the proposal of “Industry 4.0” and “China’s intelligent manufacturing 2025”, the manufacturing industry is now facing an urgent to have an industrial transformation and experience an unavoidable upgrading process, which means that the manufacturing industry is now moving towards the era of intelligent manufacturing. As one of the important part of the mechanical industry, the requirement of the quality control in the precision manufacturing fields is now becoming increasingly much high. It is known that high precision, good quality and high yield are the first choice especially in the mass batching processing production of the same product. Therefore some methods should be taken to realize the high precision,good quality and high yield of mass production of the same product. Then in this paper, a new “Internet of machines” model of intelligent manufacturing system is proposed to monitor each manufacturing unit’s processing state and make a decision to control the manufacturing quality. The “internet of machines” is constructed based on the characteristics of quantitative precision manufacturing and the architecture of smart manufacturing, big data and Internet of things. To construct the “internet of machines”, the relationship among big data, internet of things and precision manufacturing is discussed firstly. Then the technology and system of manufacturing unit processing state and process monitoring are introduced. Thirdly, the acquisition and processing of big data of processing state and the quality control method of intelligent manufacturing unit are introduced in detail.Finally, to satisfy the quality control demand of precision manufacturing in the local manufacturing area, the architecture of the networking machine system of intelligent control and decision making are discussed.

Entering a new era, green development is the core concept of ecological civilization construction in China, and it’s also an inevitable trend of manufacturing. Our country needs to develop the green manufacturing industry vigorously, while research on the main body of green manufacturing–green factory is a key direction to lead manufacturing to a higher stage. Through research on green factory at home and abroad, summary the connotation and standards of green factory, propose the basic model of the future green factory–taking green technology, information technology, and automation technology as the core, taking green, data, intelligence, and integration as features, taking into account the impact of the environment, society, and economy, analyze the green factory's architecture, including the adaptive green factory building shell, intelligent green production system, energy-efficient building resource service system, green factory energy and environmental management system and learning and health training environment. It has important theoretical and practical significance for promoting green factory development and industrial transformation.

In the view of aircraft assembly pulse production line, the simulation and decision support technologies are discussed, in terms of assembly process, production line planning, material distribution and resource scheduling. These technologies aim to increase the rationality of the planning scheme in the line design stage, and to stabilize the takt time, to guarantee the product due time, and to improve the efficiency of the overall production line in the line operation stage.

The interconnection between the physical world and the information world in the aircraft assembly workshop has become the trend of aircraft assembly intellectualization. Digital twin is an effective technology to achieve interaction and integration between the physical world and the information world. This paper analyzes the development of the aircraft assembly shop-floor and expounds the characteristics and problems of the aircraft assembly shop-floor. On this basis, the framework of digital twin shop-floor for aircraft assembly, which covers the physical assembly shop-floor, the virtual assembly shop-floor, the twin data of the shop-floor and the assembly shop service system, is proposed. The key technologies such as real-time perception and acquisition of the physical assembly shop-floor data, modeling and simulation technology of virtual assembly shop-floor, digital twin and data-driven of the assembly production management and control are illustrated in detail. This study will provide reference for intelligent manufacturing in aviation industry.

As Intelligent Manufacturing gets great support, the manufacturing industry is gradually developing more and more intelligently. A large number of data acquisition equipment has been utilized in workshops, collecting mass data of the production. By analyzing these data, big data technology can give full play to the value of data, raise the management level, and improve the competitiveness of enterprises. Combing the applications of big data in manufacturing enterprises, the framework of big data processing platform in intelligent workshop is put forward. Based on data integration, data processing and data analysis, big data technology is fully discussed, and the direction of its application in workshop is pointed out. Big data technology is of great value to the production in the intelligent workshop and its wide application will bring great changes to the industry and boost the development of intelligent manufacturing into a new stage.

Due to the large size, special coating material, complicated process, and varied production modes of aviation products, it is necessary to conduct in-depth research on the automatic spraying process of aviation products in order to truly exert the effectiveness of the painting robot. First of all, the principle of air spraying and automatic spraying process equipment is described. Then, the core content and key process parameters of automatic spraying process research are outlined. Finally, based our own practical experiences, a five step research method, including basic process experiments, sample spraying experiments, real work-piece praying experiments, spraying process standardization and continuous optimization was put forward, and the key elements and experimental methods of each step are given.

Combining with the assembly path simulating difficulty of some narrow space area in final assembly situation, the improved A* algorithm in 3D space is adopted in assembly path planning. Improve the A* algorithm from 2D plane to 3D space, and the influence of size and rotate of assembly part on path planning is considered. Mesh the assembly space and part to make a map. According to the move and rotate cost of assembly part in 3D space to build the evaluate function, by using the improved A* algorithm to heuristic searching to find the assembly path node. By using the automation development of CATIA, realizing the algorithm and path simulation in CATIA assembly environment. According to the simulating result, the method can effectively control the move and rotation of assembly part, avoid the barrier in narrow space and generate the assembly path.

The hydrophobicity based on the surface formation of microstructures can be effectively applied to such important fields like water corrosion protection, cable protection, aircraft anti-icing and so on. In this paper, the several kinds of hydrophobic function of the copper surfaces were realized by femtosecond laser directly induced microstructures without any other means of chemical treatment, and the influence of temperature on the hydrophobic characteristics of microstructure surfaces and their anti-icing properties where further systematicly studied. Results indicate the hydrophobic surface of micro-nano structure under the low temperature compared with the original surface can postpone the freezing process of water droplets on the surface, and the formation of this phenomenon is related to wettability and morphology of micro-nano structure.

There would be a lateral displacement caused by the lateral force for complex curved surface structure during the pressure keeping process. A pressure keeping system consisted of laser displacement sensor and T-Mac was built, in order to measure the position of complex curved surface structure and compensate the error on-line. Coordinates of the actual measuring point were calculated based on angle approaching, whose normal direction was measured by three displacement sensors. The relative location to complex curved surface structure from the robot was provided by comparing the coordinates of the actual measuring point with the theoretical point. The position of the robot was given real-time by T-Mac. Then the absolute position of complex curved surface structure was obtained. The position correction of complex curved surface structure was realized by adjusting the robot end. The results of three times of online error compensation experiments show that the position deviation is close to 0.1mm and is decreased by 90% compares to the original error.

Taking a typical double curvature aircraft panel part as an example, the 2 kinds of shot peening paths were designed according to part characteristics, which were analyzed by Geomagic software. Next, the initial mapping relationship between shot peening parameters and equivalent temperature was established, and the “temperature field” equivalent simulation was carried out by finite element software ABAQUS with the order of the transient steady-state method. And then, Geomagic software was used to characterize the forming error. According to its forming error, the plan of the path was optimized, and the ideal forming result was obtained. Finally, the forming result was verified by a shot peening test of a 1:1 test piece. The result showed that the equivalent simulation method can predict the forming result of the established shot peening path correctly and optimize the shot peening path, which was of great significance to the path designing of shot peening forming.

Taking the manufacturing of high-pressure turbine guide for a spaceflight power system as an example, in view of the short - term problems in the manufacturing process, from the aspects of material characteristics, structural characteristics and technical requirements, the causes of the problems were analyzed. From the aspect of thermal gap control, the thermal deformation control technology of multi-degrees of freedom space structure under high temperature brazing was studied, and the actual application and verification of the research results were carried out based on the production and manufacturing of power system. And the following conclusions: through the clamping device to control the hot deformation, the pressure part closer to the welding position, the better effect; During the brazing process, after the completion of the heating phase, because of the penetration of filler metal, the two parts become one, and in the cooling stage, with the same center retracting, at this time the most gap has been filled by filler metal, so the clearance can not change; Under the condition that the cold space meets the technical requirements, the thermal expansion deformation under high temperature will lead to a large gap. The solder began to melt at about 997℃ . The flow velocity and clearance can not be controlled by heat treatment system, and the temperature change in small range is very small. A set of thermal deformation control methods suitable for the spatial structure of multi-degree of freedom is summarized.

In recent years, The development of intelligent manufacturing equipment represented by industrial robots has been paid great attention by foreign aviation manufacturing industry. This paper analyzes the necessity of expanding the application of robots in the field of aviation manufacturing. The main development modes of expanding robot application by leading foreign aviation manufacturers such as Boeing and Airbus are described, The latest application status and key applications direction of robot in aviation manufacturing field are analyzed from spraying, welding, assembling, composite component forming and machining. On this basis, the development trend of robot technology is analyzed. Fully understand and master the main development strategies of leading foreign aviation manufacturers to promote the application of industrial robots, current application status and future development direction, which plays an important role in promoting the development of robot technology in China’s aviation field.