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2022 Vol. 65, No. 7 Published: 2022-04-01

FEATURE FORUM RESEARCH C0NTENTS COVER STORY

	1	COVER


		2022 Vol. 65 (7): 1-1 [Abstract] ( 87 ) HTML^New PDF (1700 KB) ( 171 )

C0NTENTS

	6	本期目录


		2022 Vol. 65 (7): 6-10 [Abstract] ( 62 ) HTML^New PDF (400 KB) ( 45 )

FEATURE

	14	Research and Application of Multi-Axis Wire-Cutting Technology for Integral Blisk
		XU Weihong，SONG Weiwei，GAO Sufang
		DOI: 10.16080/j.issn1671-833x.2022.07.014
		Integral blisk is the key part of aero-engine with slender blade, large torque angle, large erosion removal quantity between blade channels, weak structure strength. It is difficult to manufacture due to its high-temperature alloy material. The commonly-used milling machining method for blade channels has many short-comings, such as, low machining efficiency, high deformation rate, and low machining quality of parts. In order to increase manufacturing efficiency and quality, and to decrease manufacturing cost of the blade channels of integral blisk, we analyzed the characteristic of the blade channel structure and machining technique, and proposed a new machining technique including wire-cut, electrical discharge machining (EDM) forming, and fine milling, which is a total novel technology scheme with characteristics of micro-stress, low cost, high quality, in brief, electro-electro-milling technology scheme. We also designed multi-axis wire-cutting technique and special wiring devices used for inside-and-outside outline cutting. The problems such as low quality, low efficiency have been resolved through normalizing process parameters in clamping and positioning, electrical parameters, cutting path. Finally, the effectiveness (increasing the machining quality and efficiency, lowering the machining costs) of the proposed technology scheme has been verified through typical parts machining.
		2022 Vol. 65 (7): 14-20 [Abstract] ( 155 ) HTML^New PDF (6758 KB) ( 460 )

COVER STORY

	22	Research Progress of Textured Surface Coatings
		DENG Jianxin，MENG Ying，ZHANG Zhihui，SUN Qinghao
		DOI: 10.16080/j.issn1671-833x.2022.07.022
		Guide::null
		The effect of the surface texturing pretreatment of the substrate on the overall performance of the coatings has been initially confirmed. The existing fabrication technologies, advantages and disadvantages, and the key design parameters of surface textures are reviewed. The application of surface texturing technology in mechanical processing, medicine, micro-nano electromechanical system and other fields is summarized. The research status of the synergistic effect between the substrate surface textures and the soft/hard coatings is introduced. From the perspectives of the surface properties and interface properties of the coatings, the synergistic mechanism of the surface texturing pretreatment to improve the overall performance of the coatings was discussed. Finally, the way forward of textured coatings is prospected in order to provide theoretical guidance and reference for the subsequent more in-depth research work of textured coatings.
		2022 Vol. 65 (7): 22-35 [Abstract] ( 157 ) HTML^New PDF (79289 KB) ( 248 )

FORUM

	38	Research and Application of Key Technologies of Heterogeneous Equipment Data Source Integration in Digital Workshop
		LI Ming, ZHANG Yunzhi, GUAN Dali, JIANG Qian, LIU Jiandong
		DOI: 10.16080/j.issn1671-833x.2022.07.038
		This paper studies the unified data interface technology under the industrial network environment of heterogeneous equipment, the unified storage and access technology of heterogeneous data in manufacturing site and the visualization application of manufacturing data source. Combined with the characteristics and specific requirements of heterogeneous equipment in metal hot processing workshop, this paper carries out the network architecture design of the combination of C/S and B/S mode, the architecture design of data source channel and the real-time and effectiveness design of data source. Data source IO server technology and digital twin technology have been applied in field equipment such as superplastic forming equipment, TAV gas diffusion furnace, thermoforming equipment, thermal torsion equipment, thermal correction equipment, baking furnace, well furnace, wet spraying equipment, abrasive belt milling and grinding robot, achieving the purpose of real-time perception of the state of the manufacturing site, and realizing the integration of heterogeneous equipment data sources in the digital workshop. The solution of network access and data source acquisition of multi-class heterogeneous equipment studied and implemented in this paper has a good guiding significance in the design of intelligent production line in heterogeneous workshop.
		2022 Vol. 65 (7): 38-43/53 [Abstract] ( 127 ) HTML^New PDF (8261 KB) ( 127 )

	44	Exploration and Practice of New Mode of Intelligent Manufacturing of Aeronautical Composite
		MA Jun, WAN Jianping, REN Weian, WU Jingqing, CAI Yangyang
		DOI: 10.16080/j.issn1671-833x.2022.07.044
		Taking aeronautical composite digital factory construction as the research object, this paper deeply analyzed differences and difficulties between the aeronautical composite major and the others in process of intelligent transformation. Aeronautical composite material manufacturing is a typical discrete manufacturing mode, which involves many special processes, mixed hot and cold processes, and complicated process flow. It is difficult to drive the construction of digital and intelligent system through a single process. In this paper, the construction contents of process automation, terminal construction of internet of things, integrated management and control of equipment and facilities, automatic storage, logistics management and control, paperless manufacturing process in the construction process of aeronautical composite materials digital factory are described in detail. There is a lot of innovation in all the elements, major and systematic management in intelligent manufacturing factory. It implements a relatively complete intelligent manufacturing model in the factory, rather than a single local digitization and intellectualization. A good demonstration of intelligent manufacturing mode of aeronautical composite has been formed. The manufacturing efficiency and quality of aeronautical composite are improved and the manufacturing cost is reduced.
		2022 Vol. 65 (7): 44-53 [Abstract] ( 161 ) HTML^New PDF (12882 KB) ( 153 )

	54	Research on Intelligent Crimping Depth Detection Algorithm for Magnetic Pulse Crimping Pipe Based on Adaptive Vision
		LI Guangyao, LIU Xiao, LAI Ming, JIANG Hao, CUI Junjia
		DOI: 10.16080/j.issn1671-833x.2022.07.054
		Magnetic pulse crimping technology has high forming speed and efficiency, and is suitable for the connection of high strength steel and aluminum, carbon fiber or other lightweight materials. It has wide application prospect in aircraft industry. However, there are few online detection methods for magnetic pulse crimping pipe, which is not conducive to realize automated production of the technology. A visual detection method based on improved YOLOv4–Tiny (You only look once v4–Tiny) detection network and adaptive image processing was proposed to meet the requirement of online detection of crimping quality of magnetic pulse pressure tubing. Efficient channel attention (ECA) module was introduced to improve the YOLOv4–Tiny detection network, and an adaptive crimping depth extraction algorithm was designed based on adaptive threshold segmentation algorithm and Canny edge detection algorithm. A batch of magnetic pulse crimping pipes images were collected in a simulated industrial environment and were divided into training set and verification set. Finally, the algorithm was trained with the training data set, and the detection model obtained by training was verified by the verification set. The average precision (AP@0.5) of the crimping area detection model is 100% when the intersection ratio threshold is 0.5, and the average precision (AP@0.5:0.8) is 93.14% when the intersection ratio threshold is 0.5, 0.6, 0.7 and 0.8, and the running time per frame is 1.66ms. For image processing edge extraction algorithm, verification results show that the average deviation is 0.85 pixels, the maximum deviation is 2.6 pixels, and the running time of a single frame is 3.49ms. The average deviation of the whole crimping depth detection algorithm is 0.313 pixels, the mean square error is 0.115 square pixels, the deviation ratio is 1.35%, and the running time of a single frame is 124.49ms. In conclusion, the proposed algorithm can accurately and quickly extract the crimping depth of magnetic pulse crimping pipe without additional positioning. The algorithm has low deployment cost, high robustness and high application value.
		2022 Vol. 65 (7): 54-63 [Abstract] ( 81 ) HTML^New PDF (28520 KB) ( 98 )

	64	Study on Intelligent Management and Control Method for Assembly Line With Manual/Semi-Automatic Operation
		ZHAO Lin，YU Chenglong，WANG Kunsheng,ZHAO Yan，WANG Jiasheng
		DOI: 10.16080/j.issn1671-833x.2022.07.064
		To improve the assembly efficiency of aerospace products based on traditional assembly mode with manual/semi-automatic operation and meet the current rapid development needs of product development and production, an intelligent management and control method architecture for assembly line in aerospace workshop was put forward, and the main technical contents such as assembly information modeling, assembly relationship analysis, assembly progress evolution and prediction, assembly intelligent decision and production scheduling were discussed. Furthermore, the basic methods of process planning generation and process man-hour calculation based on historical data and data mining algorithm were described in detail, and the technologies of production schedule evolution prediction, decision-making and optimal scheduling based on assembly real-time state were also discussed. Ultimately, the intelligent control method of assembly production line in aerospace work-shop was preliminarily formed based on the intelligent generation of assembly process, analysis and decision-making. It is a certain reference value for the subsequent studying the specific technologies and implementation methods involved in intelligent control methods, developing software systems and improving assembly control capabilities of assembly process.
		2022 Vol. 65 (7): 64-69 [Abstract] ( 117 ) HTML^New PDF (1135 KB) ( 293 )

RESEARCH

	70	Atomizing Spray Characteristics Study of Minimum Quantity Lubrication System
		PEI Hongjie, LI Fu, CHEN Yuying, WANG Guicheng
		DOI: 10.16080/j.issn1671-833x.2022.07.070
		To reveal the spray atomization rule of the minimum quantity lubrication system, a three-dimensional particle dynamic analyzer based on laser Doppler effects was used to measure the atomization characteristics of oil droplets. For the three degradable green lubricating oils—trimethylolpropane trioleate, vegetable oil 6000 and polyethylene glycol 400, the atomization cone angle and distribution law of oil droplet size, speed and quantity under different oil volume, air flow and intercept conditions were tested. Experiments show that the spray cone angle was mainly determined by the nozzle structure, the number of oil droplets basically conformed to the normal distribution, and the air flow and oil quantity had a greater influence on the number of oil droplets, the oil drop velocity distribution had a bell-shaped curve and the jet center velocity was the highest. This atomization distribution characteristic had important engineering significance for the implementation of minimum quantity lubrication processing.
		2022 Vol. 65 (7): 70-76 [Abstract] ( 151 ) HTML^New PDF (1929 KB) ( 237 )

	77	Study on Improved CEEMD–MRSVD Denoising Method and Its Application
		XU Rui，BAI Yun
		DOI: 10.16080/j.issn1671-833x.2022.07.077
		In view of the problem that ensemble empirical mode decomposition (EEMD) threshold denoising method was difficult to achieve ideal results, an improved complementary ensemble empirical mode decomposition–multi-resolution singular value decomposition (CEEMD–MRSVD) denoising method was proposed. Noisy signal was processed by CEEMD, which overcame the shortcomings of poor timeliness of EEMD and EMD mode mixing. Then, the signal-dominated and noise-dominated components were distinguished by the correlation characteristics of signal and noise. According to the different noise intensity, a multi-resolution singular value location was proposed to strategically optimize the noise-dominated and signal-dominated components. Finally, the Savitzky–Golay smoothing filter was used to remove the rough details of the signal and the extracted signals were reconstructed to achieve the denoising purpose. Results showed that, this method can not only eliminated noise interference effectively, but also reduced the loss of useful details.
		2022 Vol. 65 (7): 77-82 [Abstract] ( 187 ) HTML^New PDF (1522 KB) ( 409 )

	83	An Extracting Method for Center of Rivet Holes Based on Scattered Point Cloud
		TIAN Qinglian，XIONG Tianchen，HUANG Xiang，LI Shuanggao，HAO Long
		DOI: 10.16080/j.issn1671-833x.2022.07.083
		Aiming at the limitations and the low automations of the current rivet hole feature extraction method, an automatic identification and features parameter extraction method for rivet hole based on scattered point cloud is proposed. The point cloud boundary points are extracted by the k neighbor point distribution of each point, and the point cloud blocks belonging to different boundary features are obtained by using Euclidean distance clustering, and then according to the ellipse fitting result, the rivet hole boundaries are extracted. The k nearest neighbor search algorithm is used to find the point cloud of the rivet hole boundary neighborhood, and then the actual positioning plane of the rivet hole is constructed, and the boundary point is projected to the positioning plane to fit the end circle. The experiments show that the method can accurately identify and extract the rivet holes and that the center position extraction accuracy can reach 0.029mm.
		2022 Vol. 65 (7): 83-89 [Abstract] ( 150 ) HTML^New PDF (2432 KB) ( 370 )

	90	Intelligent Fault Diagnosis Technology for Aircraft Assembling Process Based on Knowledge Engineering
		GUO Haochen，WANG Han，LOU Lin，PAN Ershun
		DOI: 10.16080/j.issn1671-833x.2022.07.090
		Considering the complicated failure causes of aircraft manufacturing process, the description has the features of long and complex text. Based on the deep learning theory and knowledge engineering, a fault intelligent diagnosis was proposed for the aircraft manufacturing process. Firstly, the attribute reduction of the quality failure form was carried out. The word segmentation approach was utilized to reduce the long text attribute on basis of the thesaurus and full-model participle. Secondly, the long text attribute was vectorized by the deep learning algorithm. The k-nearest neighbor (KNN) and the cosine similarity algorithm were investigated to retrieve the similar forms from the historical fault forms for aircraft fault diagnosis. Finally, the fault intelligent diagnosis method was validated by the failure case of a certain aircraft manufacturing process. The results show that the proposed method can help the aircraft maintenance personnelmake dispositions, reduce the work loads, and improve maintenance efficiency.
		2022 Vol. 65 (7): 90-95/109 [Abstract] ( 116 ) HTML^New PDF (918 KB) ( 374 )

	96	Research on NC Machining Technology Design of Aircraft Structural Parts in Flexible Wire Machining Mode
		GAO Xin，FENG Bin，ZHAO Zhonggang，WANG Binli
		DOI: 10.16080/j.issn1671-833x.2022.07.096
		Flexible automatic machining has become the development direction of aviation manufacturing in the future. The aircraft structural parts belong to a variety of small batch production mode, the stable and efficient processing technology is difficult to obtained through iterative optimization. In order to ensure the normal operation of flexible production line, it’s necessary to solve the flexible line machining technology. According to the requirements of flexible wire machining mode, the research is carried out from the aspects of machining technology standardization, process quality control and construction of monitoring instructions. A complete set of automatic machining technology of flexible wire for aircraft structural parts is developed, which powerfully supports the efficient and stable machining of aircraft structural parts in flexible wire machining mode.
		2022 Vol. 65 (7): 96-103 [Abstract] ( 116 ) HTML^New PDF (1281 KB) ( 465 )

	104	Experimental Study on Ultrasonic Vibration Grinding of C/SiC Composites
		XIANG Chao，CHEN Tao，LI Hongbo，WANG Qihan，SONG Han
		DOI: 10.16080/j.issn1671-833x.2022.07.104
		Experiments of axial ultrasonic assisted plane grinding of 2.5D orthogonal braided C/SiC ceramic matrix composites prepared by CVI+PIP synthesis process was carried out by electroplating diamond wheel. The processing technology of C/SiC composites was studied by analyzing and measuring the grinding force, three-dimensional morphology and roughness of grinding surface between ultrasonic-assisted grinding and conventional grinding. The results show that the material removal method is mainly based on brittle removal during the grinding process, the carbon fiber damage form is mainly fiber pulling, stripping, transverse fracture, and the matrix is mainly crushed and removed. After applying ultrasonic vibration, the grinding force was reduced by 35%–40%, and the surface processing quality is also significantly improved. Orthogonal experimental results show the influence of spindle speed, feed speed and grinding depth on the grinding surface roughness S a is also different in the grinding process parameters. The specific performance is: feed speed > spindle speed>grinding depth, high-speed micro-grinding can be used effectively improve grinding efficiency and surface finish quality.
		2022 Vol. 65 (7): 104-109 [Abstract] ( 125 ) HTML^New PDF (9588 KB) ( 131 )

	110	Stability Prediction of Milling With Variable Pitch Cutter Using Precise Integration-Based Full-Discretization Method
		HUANG Chao，YANG Wenan，CAI Xulin，ZHENG Fangzhi，MU Yingjuan，GUO Guoqiang
		DOI: 10.16080/j.issn1671-833x.2022.07.110
		The effectiveness of variable pitch cutter in suppressing chatter vibrations during milling has received extensive attention. An efficient precise integration-based full-discretization method is proposed for predicting stability of milling process with multiple delays that arise from variable pitch angle. The dynamic model of milling process considering helix angle is constructed and the state term and time delay term are approximated by linear interpolation method. Then, the stability lobe diagrams are obtained based on Floquet theory. In the process of stability prediction, the precise integration algorithm is used to avoid the inverse operation when solving the exponential matrix, which effectively improves the calculation efficiency. Finally, it shows that the proposed method is more efficient and accurate to predict the stability compared with the updated semi-discretization method.
		2022 Vol. 65 (7): 110-115 [Abstract] ( 104 ) HTML^New PDF (3613 KB) ( 235 )

Notices

·	'Aeronautical Manufacturing technology ' is included in EI database

·	China Science Citation Database (CSCD)

·	Chinese S&T Journal Citation Reports (CJCR)

·	World Journal Clout Index (WJCI) Report of Scientific and Technological Periodicals

·	Supported in China Science and Technology Journal Excellence Action Plan

·	Aeronautical Manufacturing Technology ranked No. 3 in Chinese S&T Journal Citation Reports (CJCR)

·	High Quality Sci-tech Journal Classification Catalogue in Aerospace Field （2023）

·	A Guide to the Core Journals of China (hosted by Peking University Library)

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