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Quality Inspection and Control Technology for Advanced Equipment and Machining...
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Quality Inspection and Control Technology for Advanced Equipment and Machining Processes

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Mechanical Engineering".

Deadline for manuscript submissions: 20 June 2024 | Viewed by 4682

Special Issue Editors

Prof. Dr. Jun Yang

E-Mail Website
Guest Editor
Institute of Intelligent Systems and Robotics, School of Mechanical Engineering, Xi'an Jiaotong University, Xi’an 710049, China
Interests: precision machining; intelligent manufacturing; micro/nano-testing and information sensing; quantum thermal imaging
Prof. Dr. Jixiang Yang

E-Mail Website
Guest Editor
School of Mechanical Science & Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
Interests: multi-axis intelligent CNC machining; robot precision measurement; surface quality control
Special Issues, Collections and Topics in MDPI journals
Dr. Lintao Wang

E-Mail Website
Guest Editor
School of Mechanical Engineering, Dalian University of Technology, Dalian 116024, China
Interests: modeling and optimization of complex electromechanical systems; intelligent electro-hydraulic control; CFD analysis and optimization

Special Issue Information

Dear Colleagues,

The quality inspection and control of advanced equipment and processing processes has become a multidisciplinary frontier, attracting the interest of many researchers from different fields. However, there are still many challenges to overcome.

This Special Issue of Applied Sciences on “Quality Inspection and Control Technology for Advanced Equipment and Machining Processes” aims to give an overview of the latest developments regarding quality inspection and control technologies for advanced equipment and machining processes. Topics of discussion include, but are not limited to, the exploration of new theories, methods, technologies, processes, applications, etc., which enable breakthroughs in many valuable research areas such as machining error measurement and compensation, active and adaptive control of machining accuracy, advanced equipment assembly quality control technology, etc.

We invite you to contribute original research and review articles.

Prof. Dr. Jun Yang
Prof. Dr. Jixiang Yang
Dr. Lintao Wang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • process monitoring
  • machining accuracy
  • signal processing
  • precision machine tools
  • condition evaluation
  • error compensation
  • data modeling
  • intelligent assembly
  • modeling and optimization of complex electromechanical systems
  • error control

Published Papers (5 papers)

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Research

16 pages, 3466 KiB  
Article
A Precise Modeling Method for PMSM Servo System of Spacecraft
by Hang Xu, Zhe Song, Xi Xiao, Yu Mo, Weihong Zhou and Pengfei Wu
Appl. Sci. 2024, 14(3), 1161; https://doi.org/10.3390/app14031161 - 30 Jan 2024
Viewed by 626
Abstract
Permanent magnet synchronous motor (PMSM) servo system is the control and execution mechanism of spacecraft, and its precise modeling is of great practical significance for improving the performance of the spacecraft. A comprehensive model considering elasticity, backlash, and friction was established based on [...] Read more.
Permanent magnet synchronous motor (PMSM) servo system is the control and execution mechanism of spacecraft, and its precise modeling is of great practical significance for improving the performance of the spacecraft. A comprehensive model considering elasticity, backlash, and friction was established based on the structural composition and transmission characteristics of spacecraft. Firstly, an elastic-dead zone model was established based on the transmission characteristics, with two mass elastic and gear backlash dead zones as the main features. Then, an improved LuGre friction model was established that considers the effects of vibration and environmental temperature, and the three models were organically combined. Finally, a method for identifying nonlinear parameters of the system using sinusoidal sweep and the least squares method was proposed, and the accuracy of the constructed model was verified. The experiment shows that the error of the simulation results is consistent with the experimental results. This method can precisely obtain the servo system model, providing theoretical support for control method research. Full article
(This article belongs to the Special Issue Quality Inspection and Control Technology for Advanced Equipment and Machining Processes)
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23 pages, 5421 KiB  
Article
AR-Assisted Guidance for Assembly and Maintenance of Avionics Equipment
by Zhengjie Xue, Jun Yang, Ruchen Chen, Qiang He, Qixiu Li and Xuesong Mei
Appl. Sci. 2024, 14(3), 1137; https://doi.org/10.3390/app14031137 - 29 Jan 2024
Cited by 1 | Viewed by 868
Abstract
The assembly and maintenance of products in the aviation industry constitute a crucial aspect of the product life cycle, with numerous tasks still reliant on manual operations. In order to solve the problem of narrow operation spaces and blind areas in the processes [...] Read more.
The assembly and maintenance of products in the aviation industry constitute a crucial aspect of the product life cycle, with numerous tasks still reliant on manual operations. In order to solve the problem of narrow operation spaces and blind areas in the processes of manual assembly and maintenance, we proposed an augmented reality (AR) assistant guidance method specifically designed for such scenarios. By employing a multi-modality anti-occlusion tracking algorithm, pose data of assembly parts can be obtained, upon which AR guidance information is displayed. Additionally, we proposed an assembly step identification method to alleviate user interaction pressure. We developed an AR visualization assistant guidance system and designed and conducted a user evaluation experiment to measure the learnability, usability, and mental effort required. The results demonstrate that our method significantly enhances training efficiency by 128.77%, as well as improving assembly and maintenance efficiency by 29.53% and 27.27% compared with traditional methods. Moreover, it has significant advantages in learnability, usability, and mental effort, providing a feasible and effective resolution for addressing blind areas during assembly and maintenance within the aviation industry. Full article
(This article belongs to the Special Issue Quality Inspection and Control Technology for Advanced Equipment and Machining Processes)
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17 pages, 4984 KiB  
Article
Multi-Objective Cutting Parameter Optimization Method for the Energy Consumption and Machining Quality of Computerized Numerical Control Lathes
by Jian Li, Pengbo He, Huankun Li, Shifa Li, Liping Xu and Kui He
Appl. Sci. 2024, 14(2), 905; https://doi.org/10.3390/app14020905 - 21 Jan 2024
Cited by 1 | Viewed by 727
Abstract
In order to achieve minimum energy consumption in computerized numerical control (CNC) lathe processing under the premise of ensuring the imposed roughness of the machined surface, a black hole-continuous ant colony optimization algorithm (BH-ACOR) is proposed to optimize the turning parameters. [...] Read more.
In order to achieve minimum energy consumption in computerized numerical control (CNC) lathe processing under the premise of ensuring the imposed roughness of the machined surface, a black hole-continuous ant colony optimization algorithm (BH-ACOR) is proposed to optimize the turning parameters. Taking turning specific energy and surface roughness as the optimization objectives, a turning test was designed. Subsequently, a multi-objective mathematical model of the cutting stage was formulated through the application of the least-squares method to fit the test data. The black hole algorithm was introduced to mitigate the shortcomings of the continuous-domain ant colony algorithm, which easily falls into a local optimum, so as to put forward a kind of BH-ACOR that is applicable to multi-objective optimization. The algorithm was applied to the multi-objective mathematical model in the turning stage to determine the optimal cutting parameters. Through simulation and test verification, the validity and practicability of the proposed method are further proved. Full article
(This article belongs to the Special Issue Quality Inspection and Control Technology for Advanced Equipment and Machining Processes)
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24 pages, 16152 KiB  
Article
Structure Design Improvement and Stiffness Reinforcement of a Machine Tool through Topology Optimization Based on Machining Characteristics
by Shen-Yung Lin and Chun-Ho Chang
Appl. Sci. 2024, 14(1), 61; https://doi.org/10.3390/app14010061 - 20 Dec 2023
Viewed by 1014
Abstract
Machining characteristics were applied to topology optimization for machine tool structure design improvement in this study, and the goals of lightweight and high rigidity of the structure were achieved. Firstly, an ultrasonic-assisted grinding experiment was carried out on zirconia to investigate the surface [...] Read more.
Machining characteristics were applied to topology optimization for machine tool structure design improvement in this study, and the goals of lightweight and high rigidity of the structure were achieved. Firstly, an ultrasonic-assisted grinding experiment was carried out on zirconia to investigate the surface roughness, surface morphology, grinding vibration, and forces. Then, the topology optimization analysis was conducted for structure design improvement, in which the magnitude of the grinding vibration was utilized as the reference for selecting the topology subsystems and the grinding force was used as the boundary conditions of the static analysis in the topology optimization. Hence, columns, bases, and saddles were redesigned for structure stiffness improvement, and the variations in the effective stress, natural frequency, weight, and stiffness of the whole machine tool were compared accordingly. The results showed that the deduced topological shape (model) can make the natural frequency and stiffness of the whole machine tool tend to be stable and convergent with a weight retention rate more than 75% as the design constraint. The subsystem structures with larger effective stress distributions were designated for stiffness improvement in the design. At the same time, the topological shape (model) was also employed in the design for weight reduction, focusing on minimizing redundant materials within the structure. In contrast to the consistency of the modal shapes before and after topological analysis, the sequential number of the modal mode of the machine tool model after topological analysis was advanced by two modes relative to those of the original situation, which means the original machine tool may be out of its inherently resonant frequency range. Also, the natural frequencies corresponding to each mode had an increasing tendency, and the maximum increase was 110.28%. Furthermore, the stiffness of the machine tool also increased significantly, with a maximum of 355.97%, leading to minor changes of the machine tool’s weight. These results confirm that the topology optimization based on machining characteristics proposed in this study for structure redesign improvement and stiffness enhancement is effective and feasible. Full article
(This article belongs to the Special Issue Quality Inspection and Control Technology for Advanced Equipment and Machining Processes)
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18 pages, 7230 KiB  
Article
Study on Nonlinear Vibration of Vertical Lifting Section of Bulk Grain Entrainment Ship Unloader
by Li Yan, Yongxiang Li, Min Cheng, Mingxu Wang and Peng Liu
Appl. Sci. 2023, 13(20), 11213; https://doi.org/10.3390/app132011213 - 12 Oct 2023
Viewed by 666
Abstract
In view of the prominent problem that nonlinear vibration of a belt conveyor can easily occur during the vertical grain-conveyance process due to the coupling effect of airflow clamping and traction of the conveyor belt, which seriously affects the efficiency and stability of [...] Read more.
In view of the prominent problem that nonlinear vibration of a belt conveyor can easily occur during the vertical grain-conveyance process due to the coupling effect of airflow clamping and traction of the conveyor belt, which seriously affects the efficiency and stability of conveying materials by the belt conveyor, a method of solving the vibration analysis of the vertical lifting section of the bulk grain belt unloader by using nonlinear vibration is proposed. Firstly, based on the laminated plate theory, the vertical lifting belt and the grain material clamped by the belt are laminated. The nonlinear vibration differential equation of the vertical lifting section of the bulk grain-carrying ship unloader is established by elastic–plastic mechanics, and solved by perturbation theory and Galerkin discrete analysis. The vibration response curve and structural natural frequency of the vertical lifting section of the bulk grain-carrying machine are obtained by numerical solution, and the influence of the volume content of the clamped material on the vibration response and structural natural frequency of the lifting section is analyzed. This study provides theoretical support for the design of pressure-supply parameters, overall structure and operation parameters of the subsequent entrainment ship unloader, promotes the rapid development of the entrainment ship unloader, provides theoretical support for the design, manufacture, later operation, and maintenance of the entrainment ship unloader, and thus provides equipment and technical support for building an efficient and intelligent port. Full article
(This article belongs to the Special Issue Quality Inspection and Control Technology for Advanced Equipment and Machining Processes)
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