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2022 Vol. 65, No. 19
Published: 2022-10-01
 
1 COVER
2022 Vol. 65 (19): 1-1 [Abstract] ( 43 ) HTMLNew PDF (3897 KB)  ( 31 )
6 CONTENTS
2022 Vol. 65 (19): 6-8 [Abstract] ( 43 ) HTMLNew PDF (416 KB)  ( 51 )
14 Retrospect and Prospect of Dynamic Modeling and Simulation Analysis of#br# CNC Machining Process
LI Zhongqun, ZHANG Weifeng, LIU Yang, LIU Hong, YANG Shangzhen
DOI: 10.16080/j.issn1671-833x.2022.19.014
Through the dynamic modeling and simulation analysis of machining process, the machining process parameters such as cutting force, surface topography and machining process stability are predicted, and the process parameters are optimized on this basis, which is an effective way to realize chatter free and high-efficient cutting. Academia has conducted extensive and indepth research in this field. With the continuous development from digital manufacturing to
intelligent one, the research hotspot of machining process simulation is changing to the intelligent direction represented by digital twins. Therefore, it is urgent to summarize the research status of machining process modeling and simulation deeply and systematically. On this basis, it is of great significance to predict the research hotspots and trends of machining process simulation. This paper summarizes the machining process modeling and cutting force prediction, cutting stability analysis, finite element simulation of cutting process and digital twin technology for cutting process, and points out the advantages and limitations of relevant research at present. After indepth discussion, this paper also prospects the research trend of machining process modeling and simulation, and points out the research hotspot in the near future.

 
2022 Vol. 65 (19): 14-28 [Abstract] ( 176 ) HTMLNew PDF (23779 KB)  ( 85 )
30 A Prediction Model of Multi-Variety and Small Batch Production Line Performance Based on Time Series Data
ZHANG Wei, ZHANG Shaoxun, WU Yan, SHI Siyuan
DOI: 10.16080/j.issn1671-833x.2022.19.030
With the improvement of the digitalization and automation level of production line, a large number of data reflecting the operation process mechanism and operation state are produced, which provides the possibility for the analysis and prediction of production line performance. In this paper, a cycle–deep belife network (C–DBN) model is proposed for production line prediction based on the performance indexes of work in process, cycle time and throughput. Aiming at the problems of slow convergence and low accuracy of the prediction model in the traditional training method based on SGD (Stochastic gradient descent), a production line performance prediction model training method based on AMM (Adam with momentum) algorithm was proposed. The training flow of production line performance prediction model for time series data is determined. Finally, the effectiveness of the production line performance prediction model and training method is verified by an example.
2022 Vol. 65 (19): 30-36 [Abstract] ( 113 ) HTMLNew PDF (1572 KB)  ( 221 )
40 Exploration and Practice of Digital Twin Architecture for Aero-Engine Manufacturing
CAO Zengyi, SHAN Jidong, WANG Zhaoyang, CHEN Heli
DOI: 10.16080/j.issn1671-833x.2022.19.040
As a new idea and technical method, digital twin has become an important starting point for enterprises to implement digital transformation strategy. Combined with the development characteristics of aero-engine in China and the application status of digital technology in the industry, an application framework of digital twin technology for aero-engine development is proposed, and the digital twin element & application modes of process design, production and manufacturing, product assembly & maintenance support. And digital twin applied technology is researched and analyzed on the MBD-based manufacturability analysis, digital process design & simulation, virtual manufacturing, virtual assembly & delivery, remote maintenance, etc., which provides digital capability for the advancement of aero-engine development.
2022 Vol. 65 (19): 40-49 [Abstract] ( 107 ) HTMLNew PDF (5502 KB)  ( 888 )
50 Adaptive Simplification Method for Product Assembly Digital Twin Visualization Model
HE Qichang, XU Zhijie
DOI: 10.16080/j.issn1671-833x.2022.19.050
Aiming at the requirement of real-time visualization of the assembly digital twin model of product, a visualization model simplification method oriented to the assembly process was proposed. Firstly, the AAG (Attributed adjacency graph) of the model was established by using the B–Rep information, the automatic recognition of features was realized through the graph matching of the basic feature AAG, and the assembly semantics were analyzed to extract the
assembly feature information of current assembly process; Then, the improved QEM algorithm was used to optimize the error of edge collapse, which realized the adaptive adjustment of local simplification rate of the model and met the need of real-time visualization. Finally, the effectiveness of the method was verified by taking the assembly of a certain type of engine casing as an example.
2022 Vol. 65 (19): 50-55 [Abstract] ( 78 ) HTMLNew PDF (5804 KB)  ( 208 )
56 Digital Model Construction of Aviation Equipment for Collaborative Manufacturing Cloud Platform
YANG Bo, ZHAO Chuang, KANG Ling, YI Lili
DOI: 10.16080/j.issn1671-833x.2022.19.056
With the development of cloud computing, internet of things and other technologies, collaborative design cloud platform manufacturing mode has been widely used in the field of aviation equipment manufacturing. In this mode, there are semantic heterogeneity and data island problems among aviation equipment digital models, so it is difficult to carry out semantic unified integrated expression. This paper analyzes the data involved in the business interaction of aviation equipment enterprises under the collaborative design cloud platform mode, and describes it in four dimensions. Then, the generation process of aviation equipment digital model is extracted through the whole life cycle business interaction. Combined with ontology theory and meta modeling method, the construction principle and construction process of ontology meta model are analyzed. Combined with the characteristics of aviation equipment life cycle and data types, the aviation equipment ontology meta model for collaborative design cloud platform is constructed. Taking unmanned aerial vehicle (UAV) equipment as an example, the UAV ontology model is constructed through ontology construction software Protégé. The information in the whole life cycle of UAV is expressed with unified semantics, which verifies the correctness of the construction method of aviation equipment digital model proposed in this paper.
2022 Vol. 65 (19): 56-65,73 [Abstract] ( 181 ) HTMLNew PDF (1774 KB)  ( 664 )
66 Springback Prediction of Rocket Frame Ring Based on Digital Twin
ZHANG Zaifang, ZHOU Liang
DOI: 10.16080/j.issn1671-833x.2022.19.066
With the development of cloud computing, internet of things and other technologies, collaborative design cloud platform manufacturing mode has been widely used in the field of aviation equipment manufacturing. In this mode, there are semantic heterogeneity and data island problems among aviation equipment digital models, so it is difficult to carry out semantic unified integrated expression. This paper analyzes the data involved in the business interaction of aviation equipment enterprises under the collaborative design cloud platform mode, and describes it in four dimensions. Then, the generation process of aviation equipment digital model is extracted through the whole life cycle business interaction. Combined with ontology theory and meta modeling method, the construction principle and construction process of ontology meta model are analyzed. Combined with the characteristics of aviation equipment life cycle and data types, the aviation equipment ontology meta model for collaborative design cloud platform is constructed. Taking unmanned aerial vehicle (UAV) equipment as an example, the UAV ontology model is constructed through ontology construction software Protégé. The information in the whole life cycle of UAV is expressed with unified semantics, which verifies the correctness of the construction method of aviation equipment digital model proposed in this paper.
2022 Vol. 65 (19): 66-73 [Abstract] ( 110 ) HTMLNew PDF (9586 KB)  ( 121 )
74 Research on Profiled Grinding Technology of FGH96 Turbine Disk Slot
QIN Bin, WANG Ziming, YU Jianhua, ZHANG Yu, LI Xun
DOI: 10.16080/j.issn1671-833x.2022.19.074
The slot is an important structural feature of aero-engine turbine disk. Turbine disk is connected with blades by slots. Therefore, the profile accuracy and surface quality of the slot directly affect the performance and reliability of turbine disk components. However, the materials of the turbine disk have excellent properties and extremely poor cutting performance. The electroplated CBN profiled grinding wheel is used to carry out precision grinding experiments on FGH96 turbine disk slots. The experimental results show that using 600# electroplated CBN profiled grinding wheel, under the conditions of parameters n=48000 r/min, ap =0.002 mm, vf =100 mm/min, can realize the precision grinding of FGH96 turbine slots. The profile dimensions and surface roughness of the machined slots meet the design requirements. At the same time, after grinding four turbine disk slots, the grinding wheel still has good grinding ability. The research results fully
verify that the precision grinding of FGH96 turbine disk slots can be realized by electroplated CBN profiled grinding wheel, which provides a new technological method for precision machining of FGH96 turbine disk slots.
2022 Vol. 65 (19): 74-79 [Abstract] ( 120 ) HTMLNew PDF (13885 KB)  ( 79 )
80 Experimental Study on Ultrasonic Vibration-Assisted Grinding of Hardened Gear Steel Surface
QIU Yutong, DING Wenfeng, CAO Yang
DOI: 10.16080/j.issn1671-833x.2022.19.080
Ultrasonic vibration-assisted grinding processing technology is introduced to solve the problems of low processing efficiency and poor surface integrity of hardened gear steel surfaces in conventional grinding. The comparison experiment of tangential ultrasonic vibration-assisted surface grinding of hardened gear steel AISI 9310 and bearing steel GCr15 were carried out. The ultrasonic vibration-assisted grinding process of gear steel hardened surface is researched
through the analysis of grinding force and grinding surface quality. The results show that ultrasonic vibration assisted grinding can effectively reduce the grinding force and specific grinding energy. With the increase of material removal rate, the ultrasonic grinding force ratio is more stable, which is beneficial to improve the grinding efficiency. The experience formulas of the normal grinding force with white alundum grinding wheels in grinding hardened surface of AISI 9310 and
GCr15 are obtained, and the relative error is less than 10%. Compared with conventional grinding, the surface roughness of AISI 9310 and GCr15 in ultrasonic vibration-assisted grinding is reduced by 9.47% and 7.39%, when the grinding speed, workpiece infeed speed and grinding depth are 15 m/s, 8 m/min and 15 μm, respectively. Under this condition, few defects are observed on the surface machined by the ultrasonic vibration-assisted grinding. This finding indicates that the surface integrity of the workpiece is improved by the ultrasonic vibration.
2022 Vol. 65 (19): 80-86,93 [Abstract] ( 88 ) HTMLNew PDF (9832 KB)  ( 51 )
87 Deviation Analysis and Tolerance Optimization of Space Between Landing Gear Assembly Joint in Turboprop Engine Nacelle
ZHENG Wei, CHEN Jinxiang, GUO Chaopeng, YU Chengxin, XU Junliang, CHEN Xutao
DOI: 10.16080/j.issn1671-833x.2022.19.087
In order to control unqualified space between landing gear joint in turboprop engine nacelle assembly, multi-level assembly information model of landing gear join location structure is established, and dimensional chain of the location structure is generated. Then the location structure tolerance information table is constructed. Landing gear location and assembly structure is analyzed by using 3DCS deviation analysis software to simulate unqualified rate and obtain key
dimensions that have an important effect on space between landing gear joint during the structure assembly. Finally, the key dimensions are optimized, which reduce the unqualified rate effectively. Proposed design optimization solves problem of the space deviation in turboprop engine nacelle assembly.
2022 Vol. 65 (19): 87-93 [Abstract] ( 105 ) HTMLNew PDF (2559 KB)  ( 160 )
94 Study on Electrochemical Dissolution Behavior of TiAl 45XD and Electrochemical Machining of Blades
LIU Meng, ZHANG Mingqi, HUANG Mingtao, CHENG Xiaoyuan
DOI: 10.16080/j.issn1671-833x.2022.19.094
In this work, the dissolution behavior of TiAl 45XD were analyzed, the comparison of theoretical and practical dissolution behavior curves indicated that TiAl 45XD displayed good feasibility of electrochemical machining (ECM). The effects of ending inter-electrode gap, pulse durations, and vibrating periods on the machining surface quality were investigated by varying the ECM parameters. The obtained surface exhibited high quality surface without intergranular corrosion and pitting with optimizing process parameters. The process validation were carried out on TiAl 45XD blade samples and the obtained blades showed the roughness of 0.61 μm and concave and convex profile tolerance of – 0.015 mm – + 0.022 mm, which lays a foundation for the electrolytic machining of typical components with complex profiles of TiAl 45XD alloy.
2022 Vol. 65 (19): 94-99 [Abstract] ( 68 ) HTMLNew PDF (24013 KB)  ( 90 )
100 Flexible Robot Gluing System for Aircraft Stringer and Skin
XU Bin, ZHOU Xinfang, WANG Weihua, GUO Feng, ZHANG Jin
DOI: 机器人涂胶；T-scan；点云；主曲线；特征提取

To meet the production mode of small batch, multiple forms and large structure in the field of aviation anufacturing, a flexible robot gluing system based on point cloud analysis is designed. Firstly, the composition, process nd interaction mode of components of the gluing system are discussed. Then the coordinate system calibration of the luing system is introduced. The pose matrix of the robot coordinate system and the laser tracker coordinate system is reatively fitted based on the feature structure recognition, forming a combined gluing system. Finally, the point cloud nalysis of the gluing system is introduced, first, the intersection line between the skin and stringer is obtained based on he point cloud feature extraction, second, the robot gluing trajectory information is constructed based on the principal urve theory and B-spline curve fitting. The robot gluing system constructed in this way makes full use of the point cloud ata and its structural characteristics without manual teaching or off-line programming. After generating the gluing control rogram, only the simulation is needed to verify the correctness of the program, which greatly simplifies the operation teps, realizes the flexible robot gluing system, and meets the requirements of the aviation manufacturing field for the obot gluing system.
2022 Vol. 65 (19): 100-106,118 [Abstract] ( 106 ) HTMLNew PDF (3656 KB)  ( 392 )
107 Rapid Design of CNC Tube Bending Die Based on CATIA/CAA
HAN Zhiren, MA Zhiyou, CHE Jianzhao, BAI Yang, YANG Wenju
DOI: 10.16080/j.issn1671-833x.2022.19.107
In aircraft manufacturing, a pipe bending mold of computerized numerical control (CNC) is required o bend the pipe, and the mold design task is arduous. In order to improve the design efficiency of the CNC bending die, olve the problems existing in the design of the bending die, based on the experience of traditional designers and the design riteria of CNC pipe bending molds, an algorithm for dimensional association of parts and an algorithm for optimizing old structure are proposed. Based on CATIA, the relevant rapid design software has been developed to realize the arameterized rapid design of CNC pipe bending molds and the rapid assembly of standard parts. Compared with traditional esign methods, the design efficiency of the software is increased by about 20 times, which provides a way for enterprises to reduce costs and improve efficiency..
2022 Vol. 65 (19): 107-113 [Abstract] ( 108 ) HTMLNew PDF (1692 KB)  ( 316 )
114 Mold Stiffness Optimization for Large-Scale Aircraft Composite Fuselage Panel
PENG Weibo, NIE Jun, LI Kelang, Huang Bo, XIE Zhenqing, CAI Wenkan
DOI: 10.16080/j.issn1671-833x.2022.19.114
Aircraft composite fuselage panel mold firmed on the horizontal automatic fiber placement (AFP) is tudied based on the theoretical mechanics. It proves that the mold weight and section inertia moment are the dominating actors influencing mold stiffness. Firstly, frame unit is constructed by topology optimization. Then, an industrialized base esign proposal is constructed according to the load transmission path among frame unites and steel structure points design rinciple. Three influencing factors which are mold profile, shaped ribs and frame unit numbers are selected based on base esign proposal, and an orthogonal experimental design and simulation analysis for these influencing factors is finished. nalysis results point out that it will realize the performance balance between the mold lightweight and stiffness when ecrease the frame unit numbers and optimize the thickness of mold profile and shaped ribs.
2022 Vol. 65 (19): 114-118 [Abstract] ( 131 ) HTMLNew PDF (3951 KB)  ( 212 )
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· China Science Citation Database (CSCD)
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· 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）
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