Home   |   About Journal   |   Editorial Board   |   Instruction   |   Publication Ethics Statement   |   Subscriptions   |   Contacts Us   |   Chinese
  Office Online  
    Submission Online
    Peer Review
    Editor Work
    Editor-in-chief
    Office Work
  Journal Online
    Accepted
    Current Issue
    Advanced Search
    Archive
    Read Articles
    Download Articles
    Email Alert
    
Quick Search  
  Adv Search
2021 Vol. 64, No. 22
Published: 2021-12-01
FEATURE
FORUM
RESEARCH
C0NTENTS
COVER STORY
APPROACHING SCIENCE
 
       COVER STORY
1 COVER
2021 Vol. 64 (22): 1-1 [Abstract] ( 60 ) HTMLNew PDF (3483 KB)  ( 45 )
       C0NTENTS
6 CONTENTS
2021 Vol. 64 (22): 6-10 [Abstract] ( 59 ) HTMLNew PDF (1463 KB)  ( 32 )
       FEATURE
14 Review of Composite Adaptive Control for Servo System
ZHU Qixin, WANG Jiaqi, XIE Guangming
DOI: 10.16080/j.issn1671-833x.2021.22.014
The traditional adaptive control has many problems, such as many adjusting parameters, relying on accurate mathematical model, slow convergence speed and easy to be affected by unknown interference. Therefore, it is very necessary to improve the adaptive control by combining more control methods. Taking the servo system as the object, this paper analyzes the basic principle of the compound adaptive control algorithm after the combination of adaptive control and neural network, sliding mode control, fuzzy control and other control methods, as well as the application of various algorithms in the servo system. Finally, the main shortcomings of composite adaptive control of servo system at this stage and the direction of improvement and development in the future are summarized.
2021 Vol. 64 (22): 14-27 [Abstract] ( 157 ) HTMLNew PDF (2663 KB)  ( 730 )
       COVER STORY
28 Research on Cloud-Edge Collaborative 3D Printing Based on Digital Twin
GUO Liang, CHENG Yunxi, ZENG Ming, WAN Changcheng
DOI: 10.16080/j.issn1671-833x.2021.22.028
Aiming at the requirements of manufacturing resources cloudification in the cloud manufacturing environment, a cloud-edge collaborative architecture for 3D printing based on digital twin was proposed. The architecture includes the cloud, the edge and the device. By integrating 3D printer with the internet of things (IoT) module, bidirectional data transmission between the device and the edge was realized. To solve the lack of network reliability and privacy security brought about by traditional cloudification, time-sensitive and privacy-sensitive services were deployed at the edge, realizing the local extension of cloud services. The key technologies including 3D printer digital twin information model, digital twin-driven 3D printer real-time monitoring and control, and 3D printer cloud-edge collaborative manufacturing were described. The feasibility of the solution is verified in a case study, which provides a referenceable solution for the cloudification of other manufacturing equipment in subsequent cloud manufacturing.
2021 Vol. 64 (22): 28-36 [Abstract] ( 174 ) HTMLNew PDF (2473 KB)  ( 825 )
       FORUM
40 Application of Sensitivity Analysis in Precision Optimization of CNC Machine Tools: A State-of-the-Art Review
XIANG Sitong, WU Chengyang
DOI: 10.16080/j.issn1671-833x.2021.22.040
CNC machine tools play a pivotal role in the equipment manufacturing industry, but multiple geometric errors seriously affect the machining accuracy. Measuring and compensating all the geometric errors requires a lot of work, so it is necessary to identify key errors to improve the efficiency of compensation. Sensitivity analysis method is mainly used to study the influence degree of each error on the volumetric accuracy, and can accurately identify the key errors of the machine tool, which has gradually become a research hotspot in the field of machine tool accuracy optimization. This article summarizes the commonly used sensitivity analysis methods, such as partial differential method, Sobol method and extended Fourier amplitude sensitivity test method, etc., the application research status of machine tool accuracy design and workpiece machining accuracy optimization, and summarizes the existing research difficulties and problems. Sensitivity analysis can accurately identify the key errors of machine tools, which has important application values for realizing high-efficiency and high-precision error compensation of machine tools.
2021 Vol. 64 (22): 40-47 [Abstract] ( 107 ) HTMLNew PDF (1913 KB)  ( 326 )
48 Research on SFLA–SVM Prediction Method for Feed Axis Thermal Error of CNC Machine Tool
SHI Yanlong, TIAN Chunmiao, A Yongga, JI Zeping, GUO Shijie
DOI: 10.16080/j.issn1671-833x.2021.22.048
In order to accurately predict the thermal error of the feed system of precision CNC machine tools and improve its quasi-static accuracy, a method based on SFLA optimized least squares support vector machine (SFLA–SVM) is proposed to optimize the key parameters of the thermal error model of feed system. Firstly, the sensitive measuring points are selected by using the spectrum clustering method and relative entropy to extract the measuring points which have a great effect on the thermal error of the feed axis. Secondly, the key parameters of SVM based on SFLA are optimized accurately and quickly, and the thermal error prediction model of SFLA–SVM is established. Finally, the performance comparison of the prediction model is carried out on a precision three-axis CNC machine tool. The experimental results show that the root mean square error of the thermal error prediction value of SFLA–SVM is reduced by 58.53% and 66.0% compared with the GA–SVM and GA–BP in the steady state.
2021 Vol. 64 (22): 48-55 [Abstract] ( 99 ) HTMLNew PDF  (0 KB)  ( 78 )
56 Methodology of Identifications and Tolerance Design of Machine Tools Crucial Geometric Error Elements
FAN Jia, ZHENG Hualin, HE Yong, MI Liang, HU Teng
DOI: 10.16080/j.issn1671-833x.2021.22.056

Facing the machining accuracies, a methodology of identifications and tolerance design of machine tools crucial geometric error elements (CGEE) is proposed. Taking a vertical machining center as the object, the volumetric error of machine tools is modeled based on screw theory. Combined with the volumetric error model and the definitions of machining accuracies, the machining accuracies evaluation models are established, and the indirect experimental verification strategies and implementation technologies are proposed. The CGEE can be identified by orthogonal experiment and statistical analysis, and the identification results are verified by numerical experiment. Then, the mapping relationship between machining accuracies and CGEE is constructed based on response surface method, and the tolerance design of the latter is transformed into an optimization problem. Genetic algorithm is used to obtain the optimal tolerance of CGEE. While the machining accuracies meet the requirements, the product cost of machine tool is the lowest, which shows that the proposed method is conducive to the robust design of machine tools accuracies.
2021 Vol. 64 (22): 56-64 [Abstract] ( 103 ) HTMLNew PDF (11085 KB)  ( 85 )
65 Research Status and Prospect of Geometric Error of CNC Machine Tools
JI Zeping, TIAN Chunmiao, GUO Shijie
DOI: 10.16080/j.issn1671-833x.2021.22.065
Geometric error is one of the important factors affecting the spatial accuracy of CNC machine tools. Many error terms, complex mechanism and the coupling effect among the error terms, which ultimately affect the machining accuracy of machine tools. Therefore, it is very important to study and analyze geometric errors. In this paper, the research status of geometric error of CNC machine tools at home and abroad in recent years is summarized, including geometric error modeling, geometric error measurement, geometric error term analysis and geometric error compensation. The advantages and disadvantages of the existing modeling methods, measurement methods, geometric error analysis methods and compensation methods are summarized. From the perspective of equipment manufacturing industry, the research direction of geometric error of CNC machine tools in the future is forecasted.
2021 Vol. 64 (22): 65-77 [Abstract] ( 113 ) HTMLNew PDF (4207 KB)  ( 543 )
       APPROACHING SCIENCE
78 Focus on Mechanisms to Serve Regional Development
2021 Vol. 64 (22): 78-79 [Abstract] ( 70 ) HTMLNew PDF (656 KB)  ( 38 )
       RESEARCH
80 Application Status of Thermoplastic Composite Materials in Foreign Engineering
LIU Bin，AN Weilong，NI Nannan
DOI: 10.16080/j.issn1671-833x.2021.22.080
In recent years, thermoplastic composite materials have been applied more and more in foreign engineering. Compared with thermosetting composites, thermoplastic composites have the following application advantages: High toughness and damage tolerance, processing features similar to metal, unrestricted shelf life of raw materials, short processing cycle. Especially it has good recycled, recyclable, reusable features, and not environmental pollute features, well adapted to environmental requirements of the proposed material industry in the modern world. This paper introduces the characteristics of matrix and reinforcement materials of thermoplastic composite, common molding methods of thermoplastic composite materials, welding technology, and engineering applications in foreign aerospace and other field, and analyzes the problems encountered in the process of the application of thermoplastic composites and the development direction.
2021 Vol. 64 (22): 80-90 [Abstract] ( 200 ) HTMLNew PDF (4330 KB)  ( 2406 )
91 Research on High Order Vibration Mode Fatigue Test Technology of Particle Reinforced Aluminum Matrix Composite Structure
WU Qiong, DENG Ying, YAO Gang, ZHANG Rongxia
DOI: 10.16080/j.issn1671-833x.2021.22.091
The fatigue test technology of structure of particle reinforced aluminum matrix composite was studied. A vibration fatigue test method for high order mode is presented. The results show that the theoretical and measured vibration characteristics of the structures are consistent. Under the third mode , the vibration stress and amplitude of the test piece still obey the linear change rule. The theoretical and practical damage sites are the same, it shows that the proposed method is effective. The method shortens the period by two thirds on the basis of ensuring the accuracy of the test. It is of significance to evaluate the fatigue performance of particle reinforced aluminum matrix composite structures and promote the engineering application of new materials and new structures.
2021 Vol. 64 (22): 91-96 [Abstract] ( 94 ) HTMLNew PDF (3626 KB)  ( 241 )
97 Effect of Half Thickness Z–pin Implantation on Flexural Properties of Laminates
YAN Bin, CHEN Hanyuan, ZHOU Ju, DAI Yue, LIU Weiwei
DOI: 10.16080/j.issn1671-833x.2021.22.097
The effects of material, diameter and twisting state of Z–pin on the bending properties of Z–pin reinforced composite laminates were studied by three-point bending test. The results show that the flexural strength, flexural modulus and flexural strain energy of the reinforced laminates with Z–pin half thickness implantation process are significantly improved compared with the control group. The material, diameter and twisting state of Z–pin have little effect on the flexural strength, modulus and strain energy of the specimens. The reason is that the potential delamination defects at the interface X and Y of the reinforcement group expand seriously, and the delamination damage dominates the failure of the specimen in the bending process. However, the Z–pin diameter has an important influence on the failure mode of laminates. The results show that the delamination crack propagation of small diameter Z–pin reinforced specimens is serious, but the number of initiation cracks is small. The damage of specimens is mostly controlled by a single crack. The crack growth of large-diameter Z–pin reinforced specimens is relatively common, but the number of initiation cracks is more, and the specimens are mostly multi crack damaged.
2021 Vol. 64 (22): 97-102 [Abstract] ( 86 ) HTMLNew PDF (1427 KB)  ( 176 )
  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)
  Download
Copyright Transfer Agreement
  Links
22 AVIC Manufacturing Technology Institute
22 AVIC
Copyright © Editorial Board of Aeronautical Manufacturing Technology
Supported by: Beijing Magtech