Articles in press have been peer-reviewed and accepted, which are not yet assigned to volumes /issues, but are citable by Digital Object Identifier (DOI).
Tube spinning process: Recent advances and challenges
Jiabin ZHENG, Zixuan LI, Xuedao SHU, Haijie XU, Tangjian XU
 doi: 10.51393/j.jamst.2024014
Abstract(0) PDF 1318KB(0)
Abstract:
The tube spinning process has attracted much attention because of its simple tooling and good surface finish. This review presents a comprehensive survey of the tube spinning process with a focus on different tube blank materials and spinning methods. The review aims to elaborate the research status of tube spinning process from the aspects of tube material, spinning method and processing performance, and act as a guide for researchers working on tube production and spinning process. In addition, the spinning process will produce large plastic deformation, which will lead to the change of the microstructure of the tube and change its mechanical properties. Therefore, the relationship between the mechanical properties of the tube blank and the spinning parameters is comprehensively expounded from the aspects of yield strength, elongation and material microstructure, and the element diffusion and interface bonding mechanism in the spinning process of the composite tubes are emphatically introduced. In particular, the latest development and trend of composite materials and composite spinning process in tube blank spinning process are discussed. The challenges and prospects of the development of the tube spinning process are put forward, and the direction for future research is pointed out.
An effective robotic processing errors prediction method considering temporal characteristics
Runpeng DENG, Xiaowei TANG, Teng ZHANG, Fangyu PENG, Jiangmiao YUAN, Rong YAN
 doi: 10.51393/j.jamst.2024010
Abstract(94) PDF 2031KB(13)
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Robotic milling processing has become an important means of advanced manufacturing technology. However, the limited machining accuracy restricts the development of robotic milling processing technology. Errors prediction and compensation are effective means to improve robot accuracy. This paper presents a combined statistical principles and machine learning model that achieves high robot milling errors prediction accuracy, called PSO-ARIMA. It is an Auto-regressive Integrated Moving Average (ARIMA) model with milling force correction that has been optimized by the Particle Swarm Optimization (PSO). Compared to the other five existing algorithms, the proposed method has the highest prediction accuracy. The maximum MAE for pose errors prediction in the four validation tasks is only 0.021 mm and 0.011°, which meets the actual application requirements. It can efficiently and accurately accomplish online prediction of errors to improve the accuracy of robotic milling.
Structured light measurement-driven adaptive machining for low-pressure turbine blades with powder metallurgy γ-TiAl
Yifei YOU, Wenhu WANG, Shaobo NING, Wenbing TIAN, Shengguo ZHANG, Yuanbin WANG
 doi: 10.51393/j.jamst.2024009
Abstract(68) PDF 928KB(6)
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Powder metallurgy is a promising method for gamma titanium aluminides (γ-TiAl) low-pressure turbine blade manufacturing as it generates better mechanical properties. However, the powder metallurgy γ-TiAl has an uneven deformation during the pressing process, making it difficult to align the workpiece to the right position during the machining process. To solve this problem, a structured light measurement-driven adaptive machining method is proposed in this paper for the low-pressure turbine blades with powder metallurgy γ-TiAl. The point cloud of the powder metallurgy workpiece is firstly obtained with structured light measurement. Then, the feature point matching method is proposed for coarse registration of the point cloud of the semi-product with the blade design model. Afterwards, a weighted iterative closest point (ICP) algorithm is applied for fine registration of the position of the point cloud to distribute the machining allowance evenly for better machining quality and efficiency. The experiments show that the proposed method can effectively improve the allocation accuracy and allocation results.
Internal cooling techniques in cutting process: A review
Kai XU, Yun YANG, Wei FENG, Min WAN, Weihong ZHANG
 doi: 10.51393/j.jamst.2024013
Abstract(60) PDF 2303KB(11)
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The heat generated during the cutting process of titanium alloys and superalloys is a significant limitation that affects machining quality. Excessive heat can accelerate tool wear, increase cutting forces, alter material properties, and decrease productivity. To address this issue, alternative cooling techniques have been suggested to minimize heat generation during cutting. Among these alternatives, internal cooling techniques have emerged as a more efficient and cost-effective solution. This paper provides a comprehensive review of internal cooling techniques in the cutting process, including their effects on cutting fluid flow, chip formation, cutting temperature, cutting forces, surface roughness, tool wear, and chip morphology. The paper also presents methods to enhance cooling and lubrication performance by optimizing the internal cooling channels and outlet nozzles of cutting tools, as well as selecting appropriate fluid supply pressure. Additionally, the paper highlights important considerations when using internal cooling techniques and proposes future directions for their development, taking into account existing challenges.
Improved classification of medical orthoses based upon the point clouds algorithms
Hao JI, Zijie MA, Kang LI, Huayuan GUO, Chaolang CHEN, Lintao YU, Jian LIU
 doi: 10.51393/j.jamst.2024012
Abstract(76) PDF 891KB(3)
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In medical rehabilitation, point clouds algorithms, as practical tools for 3D model analysis, possess significant advantages in orthoses processing and design. In this paper, an orthosis point clouds classification network with downsampling and data augmentation modules was proposed to classify a large number of the 3D orthoses with complex surfaces before inputting them into an expert template library which uses the previous orthoses to help the customized orthosis design for new patients. Initially, the effects of three types of the basic network were investigated to obtain the optimum basic network. Then, two kinds of data augmentation modules and four kinds of down-sampling modules were respectively added to the optimum basic network in order to obtain the best comprehensive network. The experimental results show that the basic classification with appropriate down sampling and data augmenta3tion methods can effectively address the time-consuming and low accuracy of the existing networks and reduce the orthosis classification time by 12.83% and improves the classification accuracy by 4.29% on average.
Intelligent robotic systems in Industry 4.0: A review
Mohsen SOORI, Roza DASTRES, Behrooz AREZOO, Fooad Karimi Ghaleh JOUGH
 doi: 10.51393/j.jamst.2024007
Abstract(114) PDF 1526KB(7)
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As Industry 4.0 continues to transform the landscape of modern manufacturing, the integration of intelligent robotic systems has emerged as a pivotal factor in enhancing efficiency, flexibility, and overall productivity. The Integration of intelligent robotic systems within the framework of Industry 4.0 represents a transformative shift in advanced manufacturing systems. The integration of intelligent robotic systems in Industry 4.0 has significantly reduced production costs while simultaneously improving product quality. The intelligent decision-making capabilities of robotic systems in Industry 4.0 have played a pivotal role in minimizing downtime in order to enhance productivity in process of part manufacturing. Intelligent robotic systems in Industry 4.0 has not only increased production efficiency but has also contributed to a more sustainable and eco-friendly manufacturing environment through optimized resource utilization. This review explores the key aspects, benefits, and challenges associated with the deployment of intelligent robotic systems in Industry 4.0. The review analyze the cutting-edge advancements in artificial intelligence, machine learning, and sensor technologies that contribute to the evolution of intelligent robotic systems in Industry 4.0. The discussion extends to emerging trends in intelligent robotic systems including digital twin, blockchain, Internet of Things, artificial intelligent and the integration of advanced analytics for real-time decision support systems. Challenges and considerations surrounding the implementation of intelligent robotic systems in Industry 4.0 are thoroughly examined, ranging from technical hurdles to ethical and societal implications. Finally, the review concludes with a forward-looking perspective on the future trajectory of intelligent robotic systems in Industry 4.0. As a result, the study can provide a roadmap for researchers and industry professionals to navigate the evolving landscape of intelligent robotics in the era of Industry 4.0.
Manufacturing microelectrode with automation control: A critical review
Ning WANG, Wentao SUN, Yonghao LIU, Juanjuan LI, Yongqiang ZHU, Xiaowei WANG, Guixue BIAN, Xiangyi LIU, Lin WANG, Dazhao YU, Feng WANG, Jiantao QI
 doi: 10.51393/j.jamst.2024008
Abstract(170) PDF 1283KB(17)
Abstract:
Electroplating at the micro and nano scales is an electrochemical deposition technique, regarded as one additive manufacturing process, to achieve the preparation and surface modification of nano devices. The present review mainly discussed two key inflcuing factors including microelectrode probe manufacturing (the length of tapered needle tipe and diameter of microelectrode tip) and the distance automation control in the micro and nano dimension between microelectrode and substrate. In addition, the mechanism and application of electrochemical etching for different microelectrode tips and automation control systems are focused. Finally, the challenges and prospect in electroplating at micro and nano scales were discussed.
Mass transfer enhancement through trapezoidal anode in dynamic mask electrodeposition of metal micropillar
Xinhao DENG, Yan ZHANG, Xin ZHOU, Minglin ZHANG
 doi: 10.51393/j.jamst.2024011
Abstract(182) PDF 1803KB(11)
Abstract:
In the conventional mask electrodeposition process, the planar nature of the anode leads to a rapid flow of a large amount of deposition solution over the confined microzone, resulting in difficulties in mass transfer within the microzone and poor quality of microstructure formation. To fabricate high-quality metal microstructures, this study proposes a dynamic electrodeposition method that utilizes a trapezoidal anode to enhance the mass transfer capability within the confined microzone, based on the concept of moving masks. Under the influence of the trapezoidal anode, there is a sudden change in the velocity of the deposition solution above the confined microzone, inducing turbulence within the microzone and enhancing internal mass transfer capability. Both simulation and experimental results validate the feasibility of this method. With the trapezoidal anode, the flatness of the cross-sectional profile of the metal microstructure is improved by 45.2%, and the deposition rate is increased by 44%. Subsequently, process parameters were optimized through orthogonal experiments. Utilizing the optimized parameters, high-quality metal microstructures with a diameter of 200 μm and a height of 360 μm were dynamically deposited. These results demonstrate that the use of a trapezoidal anode to enhance mass transfer within the microzone effectively improves the deposition quality and rate of metal microstructures, providing a practical solution to the difficulties associated with mass transfer in confined microzones.
2024, Volume 4, Issue 2Date of publication:January 02 2024
Opportunities and challenges of electrohydraulic control systems in the electrification era of non-road mobile machinery
Min CHENG, Jingbo HE, Hongyun MU, Xin YAN, Jun YANG, Jiahao OU, Ruqi DING, Junhui ZHANG, Bing XU
2024, 4(2): 2024001.   doi: 10.51393/j.jamst.2024001
Abstract(454) PDF 11697KB(60)
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Electrification of Non-road mobile machinery (NRMM) is more and more urgent due to the demand of pollution reduction and energy conservation. In electrified NRMMs, electrohydraulic control system is still irreplaceable in many working conditions owing to its high power density and shock resistance performance. Meanwhile, electrohydraulic control systems are facing many opportunities to improve its energy efficiency by novel component and circuit design if the internal combustion engines (ICEs) and fossil fuel are replaced by electric motors (EMs) and energy storage devices. However, there are also a lot of challenges about controllability, compactness, lifetime and so on, due to the frequent variable load characteristic and wide speed regulation range of NRMMs. In this study, the technical opportunities and challenges of electrohydraulic control systems are reviewed and summarized in the electrification era of NRMM. Finally, the future directions are considered to improve the energy efficiency and electrification level of NRMMs.

Electrification of Non-road mobile machinery (NRMM) is more and more urgent due to the demand of pollution reduction and energy conservation. In electrified NRMMs, electrohydraulic control system is still irreplaceable in many working conditions owing to its high power density and shock resistance performance. Meanwhile, electrohydraulic control systems are facing many opportunities to improve its energy efficiency by novel component and circuit design if the internal combustion engines (ICEs) and fossil fuel are replaced by electric motors (EMs) and energy storage devices. However, there are also a lot of challenges about controllability, compactness, lifetime and so on, due to the frequent variable load characteristic and wide speed regulation range of NRMMs. In this study, the technical opportunities and challenges of electrohydraulic control systems are reviewed and summarized in the electrification era of NRMM. Finally, the future directions are considered to improve the energy efficiency and electrification level of NRMMs.

Laser-liquid composite micromachining technologies: A review of research progress
Yang LIU, Huimin WANG, Zhaoyang ZHANG, Yufeng WANG, Jinzhong LU, Hao ZHU, Kun XU, Jingtao WANG, Hongmei ZHANG, Haifei LU, Liqu LIN, Wei XUE
2024, 4(2): 2024002.   doi: 10.51393/j.jamst.2024002
Abstract(395) PDF 6560KB(87)
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Laser micromachining technology is widely used in various industrial fields because of its high machining accuracy, high machining flexibility, and low machining cost. However, the existence of thermal effects and recast layers on the machining surface has limited the further development of this technology. To improve the machining quality, laser-liquid composite micromachining technologies flourish, which has achieved brilliant results in recent years. Laser-liquid composite micromachining technology achieves improvement in surface quality and machining efficiency through the effects of cooling, flushing, dissolution and so on. This paper reviews the current research status of laser-liquid micromachining, mainly including the water guided laser machining technology, underwater laser ablation technology, water jet assisted laser machining technology, and laser-electrochemical composite machining. The mechanism of composite machining and the material removal process under the coupling of multiple energy fields are discussed. The existing problems and future development trends in various composite machining technologies are summarized.

Laser micromachining technology is widely used in various industrial fields because of its high machining accuracy, high machining flexibility, and low machining cost. However, the existence of thermal effects and recast layers on the machining surface has limited the further development of this technology. To improve the machining quality, laser-liquid composite micromachining technologies flourish, which has achieved brilliant results in recent years. Laser-liquid composite micromachining technology achieves improvement in surface quality and machining efficiency through the effects of cooling, flushing, dissolution and so on. This paper reviews the current research status of laser-liquid micromachining, mainly including the water guided laser machining technology, underwater laser ablation technology, water jet assisted laser machining technology, and laser-electrochemical composite machining. The mechanism of composite machining and the material removal process under the coupling of multiple energy fields are discussed. The existing problems and future development trends in various composite machining technologies are summarized.

Damage and crack extension mechanism of hard and brittle materials induced by cyclic indentation
Bingrui LV, Bin LIN, Zhongchen CAO, Chunyan LIU, Xuhui CHEN, Tianyi SUI
2024, 4(2): 2024003.   doi: 10.51393/j.jamst.2024003
Abstract(237) PDF 18895KB(14)
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The cyclic indentation effect is widespread in vibration-assisted grinding processes. The understanding of the material removal mechanism during cyclic indentation is scientifically important for the improvement of the quality of vibratory grinding. Therefore, in this paper, the cyclic indentation damage and crack extension mechanisms of quartz glass are investigated by experiments and finite element simulations. The evolution of surface cracks under cyclic loading from 0.203 N to 1.81 N is observed by scanning electron microscopy. The distribution of the maximum principal stress during cyclic indentation is simulated on the basis of a modified Drucker-Prager-Cap material ontology model. A combination of experiments and simulations reveals the crack evolution mechanism during cyclic indentation.

The cyclic indentation effect is widespread in vibration-assisted grinding processes. The understanding of the material removal mechanism during cyclic indentation is scientifically important for the improvement of the quality of vibratory grinding. Therefore, in this paper, the cyclic indentation damage and crack extension mechanisms of quartz glass are investigated by experiments and finite element simulations. The evolution of surface cracks under cyclic loading from 0.203 N to 1.81 N is observed by scanning electron microscopy. The distribution of the maximum principal stress during cyclic indentation is simulated on the basis of a modified Drucker-Prager-Cap material ontology model. A combination of experiments and simulations reveals the crack evolution mechanism during cyclic indentation.

Hydrophobic microarray surface design and wettability transformation mechanism of μ-SLA 3D manufactured conic structure
Chongjun WU, Xinyi WEI, Yutian CHEN, Shufei JIANG, Steven Y. LIANG
2024, 4(2): 2024004.   doi: 10.51393/j.jamst.2024004
Abstract(169) PDF 15569KB(19)
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Most modern hydrophobic bionic surface preparations are generally plagued by chronic issues that limit their uses, which are always characterized by a difficult preparation procedure of high prices and environmentally unfriendly. This work reports the μ-SLA additive manufacturing microarray structure capable of achieving superhydrophobic wettability with the maximum contact angle of 157º for droplets. By means of the combination of wettability theory and experiment, conical microarray structures with different spacing are designed to analyze the wettability. The preparation method adopts the micro-nano additive manufacturing process that can be formed in a single step. This structure imitates the rough structure of biological surfaces through regular array structure, which can lead to a significant improvement in the superhydrophobic properties of solid surfaces.

Most modern hydrophobic bionic surface preparations are generally plagued by chronic issues that limit their uses, which are always characterized by a difficult preparation procedure of high prices and environmentally unfriendly. This work reports the μ-SLA additive manufacturing microarray structure capable of achieving superhydrophobic wettability with the maximum contact angle of 157º for droplets. By means of the combination of wettability theory and experiment, conical microarray structures with different spacing are designed to analyze the wettability. The preparation method adopts the micro-nano additive manufacturing process that can be formed in a single step. This structure imitates the rough structure of biological surfaces through regular array structure, which can lead to a significant improvement in the superhydrophobic properties of solid surfaces.

Flexible and sensitive sensor based on triboelectric nanogenerator and electrospinning
Yijun HAO, Jiayi YANG, Meiqi WANG, Zihao NIU, Haopeng LIU, Yong QIN, Wei SU, Hongke ZHANG, Chuguo ZHANG, Xiuhan LI
2024, 4(2): 2024005.   doi: 10.51393/j.jamst.2024005
Abstract(273) PDF 20266KB(18)
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Flexible and wearable sensors play a pivotal role in shaping advances in smart medical devices. However, the practicality and economy of current wearable flexible sensing devices have seriously hindered their wide application. Here, relying on the electrospinning method, material modification and triboelectric nanogenerator technology, we present a novel highly sensitive flexible triboelectric nanogenerator (TENG) sensor with the characteristics of flexible and sensitive. Through meticulous exploration of the exceptional triboelectric properties of polyvinylidene fluoride nanofiber and a rigorous investigation into the corresponding preparation processes, we have achieved remarkable results. The TENG created using positively polarized polyvinylidene fluoride nanofiber outperforms TENG created with electrospun polyvinylidene fluoride nanofibers, delivering output performance several times higher. Additionally, our fabricated highly sensitive flexible TENG sensor demonstrates exceptional sensitivity, achieving a response time of just 4 ms under controlled laboratory conditions—a notable improvement over previous iterations. Importantly, leveraging the excellent electrical output characteristics of TENG, we can generate a self-powered morse code producer system and the human motion sensor, which is demonstrates its wide application in the field of smart medical devices. Therefore, our research offers a groundbreaking avenue for developing high-output TENG and presents a pivotal solution for the design of innovative TENG applications.

Flexible and wearable sensors play a pivotal role in shaping advances in smart medical devices. However, the practicality and economy of current wearable flexible sensing devices have seriously hindered their wide application. Here, relying on the electrospinning method, material modification and triboelectric nanogenerator technology, we present a novel highly sensitive flexible triboelectric nanogenerator (TENG) sensor with the characteristics of flexible and sensitive. Through meticulous exploration of the exceptional triboelectric properties of polyvinylidene fluoride nanofiber and a rigorous investigation into the corresponding preparation processes, we have achieved remarkable results. The TENG created using positively polarized polyvinylidene fluoride nanofiber outperforms TENG created with electrospun polyvinylidene fluoride nanofibers, delivering output performance several times higher. Additionally, our fabricated highly sensitive flexible TENG sensor demonstrates exceptional sensitivity, achieving a response time of just 4 ms under controlled laboratory conditions—a notable improvement over previous iterations. Importantly, leveraging the excellent electrical output characteristics of TENG, we can generate a self-powered morse code producer system and the human motion sensor, which is demonstrates its wide application in the field of smart medical devices. Therefore, our research offers a groundbreaking avenue for developing high-output TENG and presents a pivotal solution for the design of innovative TENG applications.

Characterizing thermal conductivity of high-toughness resin and its carbon fiber reinforced composite under curing condition
Meiyu LIU, Yueqing ZHAO, Yuncong FENG, Xiaobing LI, Weizhao ZHANG
2024, 4(2): 2024006.   doi: 10.51393/j.jamst.2024006
Abstract(217) PDF 9617KB(15)
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In the present study, heat conductivity of an aircraft-grade BA9916 resin with high-toughness was characterized under the curing condition, so as to support curing modeling for this resin and its carbon fiber composites and avoid timeand labor-consuming experiments for manufacturing process design. Thermal-related properties, including density, curing kinetics, glass transition temperature, specific capacity and thermal diffusivity were measured to obtain thermal conductivity of the material. However, the BA9916 resin was toughened via addition of thermoplastic particles, resulting in much higher viscosity before completely cured than that of common epoxy resins. As a result, it was challenging to directly measure certain thermal properties of the neat resin. To settle this problem, the BA3202 unidirectional carbon fiber composite prepreg with the BA9916 resin was employed as a media to obtain corresponding properties of the resin through experiments and analytical calculation. Derived material properties of the resin were then input to the user-defined material subroutine UMAT to predict thermal response of the composite under various curing conditions, with the maximum error of 6.82% validated via experiments. Hence, the acquired characteristics can be utilized for numerical analysis of various composites composed of BA9916 resin, obviating the need for repeated physical experiments that are time- and resource-consuming.

In the present study, heat conductivity of an aircraft-grade BA9916 resin with high-toughness was characterized under the curing condition, so as to support curing modeling for this resin and its carbon fiber composites and avoid timeand labor-consuming experiments for manufacturing process design. Thermal-related properties, including density, curing kinetics, glass transition temperature, specific capacity and thermal diffusivity were measured to obtain thermal conductivity of the material. However, the BA9916 resin was toughened via addition of thermoplastic particles, resulting in much higher viscosity before completely cured than that of common epoxy resins. As a result, it was challenging to directly measure certain thermal properties of the neat resin. To settle this problem, the BA3202 unidirectional carbon fiber composite prepreg with the BA9916 resin was employed as a media to obtain corresponding properties of the resin through experiments and analytical calculation. Derived material properties of the resin were then input to the user-defined material subroutine UMAT to predict thermal response of the composite under various curing conditions, with the maximum error of 6.82% validated via experiments. Hence, the acquired characteristics can be utilized for numerical analysis of various composites composed of BA9916 resin, obviating the need for repeated physical experiments that are time- and resource-consuming.

Grinding mechanism of titanium alloy: Research status and prospect
Guijian XIAO, Youdong ZHANG, Yun HUANG, Shayu SONG, Benqiang CHEN
2021, 1(1).   doi: 10.51393/j.jamst.2020001
[Abstract](1391) [PDF 26488KB](161)
摘要:

Titanium alloy material has excellent properties such as low density, high strength, good oxidation resistance, creep resistance, etc. It has a broad application prospect in various fields. However, these characteristics also make it dif-ficult to process. Grinding is an essential method for high efficiency and precision machining of titanium alloy, ob-taining good machining precision and surface quality. The removal mechanism of titanium alloy is helpful to im-prove the surface quality of titanium alloy grinding. The recent research results in this field are reviewed. Firstly, the grinding technology types of titanium alloy were summarized, and the machining characteristics were systematically analyzed from two aspects of abrasive wear and material removal behavior of titanium alloy. Finally, the development trend of titanium alloy grinding technology in the prospect.

Machining process monitoring and application: a review
Wuyang SUN, Dinghua ZHANG, Ming LUO
2021, 1(2): 2021001.   doi: 10.51393/j.jamst.2021001
[Abstract](3122) [PDF 10947KB](470)
摘要:

Machining data have been increasingly crucial with the development of modern manufacturing strategies, and the explosive growth of data amount revolutionizes how to collect and analyze data. In machining process, anomalies such as machining chatter and tool wear occur frequently, which strongly affect the process by reducing accuracy and quality as well as increasing the time and cost. As a typical type of machining data, signals acquired in real time by advanced sensor techniques are widely embraced to detect those anomalies. This paper reviews the recent development and applications of process monitoring technologies in machining processes, and typical application scenarios in machining processes are discussed with the latest literatures and current research issues. Potential future trends of process data monitoring and analysis for intelligent machining are put forward at the end of the paper.

A review on machining technology of aero-engine casings
Xin WANG, Wenfeng DING, Biao ZHAO
2022, 2(3): 2022011.   doi: 10.51393/j.jamst.2022011
[Abstract](1630) [PDF 16332KB](336)
摘要:
This article presents a comprehensive review on the machining technology of aero-engine casings. The material removal mechanism of mechanical machining and nontraditional machining is introduced in the first part. Then, several mechanical machining technologies of aero-engine casings (e.g. numerical control machining, turn-milling complex machining, machining vibration suppression) are summarized. Subsequently, the research progress and academic achievements are explored in detail in terms of the electrochemical machining, electric discharging machining and ultrasonic machining in the field of nontraditional machining technology of aero-engine casings. Finally, the existing challenges in mechanical machining technology and nontraditional machining technology of aero-engine casings are analyzed, and the developing tendencies to aero-engine casings machining is proposed.
Tip vortex cavitation of propeller bionic noise reduction surface based on precision abrasive belt grinding
Shengwang ZHU, Guijian XIAO, Yi HE, Gang LIU, Shayu SONG, Suolang JIAHUA
2022, 2(1): 2022003.   doi: 10.51393/j.jamst.2022003
[Abstract](1124) [PDF 17313KB](124)
摘要:
The processed surface integrity of the propeller has a vital impact on the performance, efficiency, and noise of the entire power energy conversion device, and the bionic micro-structured surface is conducive to improving the noise reduction performance of the working parts. In this paper, the microstructure of the propeller blade surface is machined by precision abrasive belt grinding. Based on the surface roughness detection and 3D morphology analysis results, a univariate model of propeller surface groove with V-shaped section is established. The flow field analysis, numerical analysis of cavitation, and noise performance analysis of general marine propellers and bionic marine propellers are also carried out. The results show that the maximum noise of the propeller with the bionic grooved surface is 94.7 decibels, and the maximum noise of the general propeller is 146 decibels. The noise reduction effect is increased by 35%, which provides a new method of precision abrasive belt grinding for the noise reduction of the propeller.
A short review on milling dynamics in low-stiffness cutting conditions: Modeling and analysis
Jinbo NIU, Jinting XU, Fei REN, Yuwen SUN, Dongming GUO
2021, 1(1).   doi: 10.51393/j.jamst.2020004
[Abstract](1605) [PDF 11511KB](211)
摘要:

The dynamic responses of milling system change the ideal trajectories of cutting teeth and therefore plays a critical role in determining the machining accuracy. The amplitude of cutting vibrations could reach tens of or even hundreds of micrometers in low-stiffness cutting conditions, for example, when milling thin-walled parts and/or using slender tools. Usually, moderate cutting parameters are utilized to avoid excessive cutting loads, strong milling chatter or large dynamic deflections, which however, significantly lowers the productivity. In spite of decades of study, it is still a challenge to accurately model, efficiently analyze, reliably monitor and precisely control the dynamic milling process in low-stiffness cutting conditions. In this paper, the recent advances and research challenges on dynamics modeling and response analysis are briefly reviewed.

Progress in 4D printing technology
Jiangbo BAI, Guangyu BU
2022, 2(1): 2022001.   doi: 10.51393/j.jamst.2022001
[Abstract](1834) [PDF 27179KB](308)
摘要:

Compared with traditional additive manufacturing technology (3D printing), 4D printing technology (four-dimensional printing) increases the time dimension. The structure prepared by 4D printing process can change its shape and configuration with the external environment (i.e. light, heat, magnetism, electricity, etc.), which has a broad application prospect. This paper introduces several typical implementation methods of 4D printing in combination with the typical research results of 4D printing in recent years. The printing materials, design methods, and simulation methods of current 4D printing technology are summarized. Finally, the possible development directions of 4D printing technology and its application prospects in the fields of biomedicine, soft robotics, aerospace, etc. are introduced, and some problems of 4D printing technology are discussed.

Intelligent forming technology: State-of-the-art review and perspectives
Danni BAI, Pengfei GAO, Xinggang YAN, Yao WANG
2021, 1(3): 2021008.   doi: 10.51393/j.jamst.2021008
[Abstract](1957) [PDF 2407KB](161)
摘要:

The rapid development of artificial intelligence (AI) technology makes it possible for achieving intelligent forming. It will bring great breakthrough of material forming technology, realizing the unmanned watching, intelligent processing design and intelligent control during forming process. Moreover, it can greatly improve the forming accuracy, mechanical properties, forming efficiency and economic benefits, and promote the continuous emergence of new forming technology. Thus, the intelligent forming technology, integrating AI technology and advanced forming technology, has become an international research focus. This paper reviews the recent developments of intelligent forming technology from four kinds of common forming technology, i.e., intelligent casting, intelligent plastic forming, intelligent welding, and intelligent additive manufacturing. Moreover, the current research issues and future trends of intelligent forming technology are put forward at the end of the paper.

High dynamic range 3D measurement based on structured light: A review
Pan ZHANG, Zhong KAI, Zhongwei LI, Xiaobo JIN, Bin LI, Congjun WANG, Yusheng SHI
2021, 1(2): 2021004.   doi: 10.51393/j.jamst.2021004
[Abstract](2327) [PDF 9619KB](399)
摘要:

Structured light method is one of the best methods for automated 3D measurement in industrial production due to its stability and speed. However, when the surface of industrial parts has high dynamic range (HDR) areas, e.g. rust, oil stains, or shiny surfaces, phase calculation errors may happen due to low modulation and pixel over-saturation in the image, making it difficult to obtain accurate 3D data. This paper classifies and summarizes the existing high dynamic range structured light 3D measurement technologies, compares the advantages and analyzes the future development trends. The existing methods are classified into multiple measurement fusion (MMF) and single best measurement (SBM) based on the measurement principle. Then, the advantages of the various methods in the two categories are discussed in detail, and the applicable scenarios are analyzed. Finally, the development trend of high dynamic range 3D measurement based on structed light is proposed.

Investigation on transient dynamics of rotor system in air turbine starter based on magnetic reduction gear
Yu ZHOU, Lifeng HONG, Xueyu LI, Shuiting DING, Farong DU, Zheng XU
2021, 1(3): 2021009.   doi: 10.51393/j.jamst.2021009
[Abstract](1092) [PDF 2497KB](92)
摘要:

As an auxiliary mechanical device, Air Turbine Starter (ATS) uses compressed air as power source to start and drive the engine. It withstands the impact of high-pressure airflow during operation, which may cause collision between key components. For this reason, it is necessary to investigate the transient dynamics of ATS rotor system. However, different from the traditional dual rotor structure, ATS uses magnetic reduction gear (MRG) as a reduction unit, which involves multiple physical fields such as magnetic field and stress field, bringing challenges to transient dynamics analysis. In this paper, the magnetic interaction forces between various rotors are innovatively simplified into the form of springs, and added to the solution model to achieve the decoupling of multiple physical fields. On this basis, the transient displacement response of MRG-ATS has been analyzed using transient dynamics theory. The results indicate that the transient displacement of the rotor system has obvious characteristics of oscillation attenuation. The study reveals the feasibility of MRG-ATS application under transient shock.

Prediction and suppression of chatter in milling of structures with low-rigidity: A review
Xuebin DANG, Min WAN, Yun YANG
2021, 1(3): 2021010.   doi: 10.51393/j.jamst.2021010
[Abstract](1421) [PDF 2863KB](193)
摘要:

Milling is widely used to machine the structures with low-rigidity in astronautic and aeronautic industries, while chatter vibration, which is a great limitation and a serious problem, is easy to occur in this kind of process due to the weak stiffness of the structures. To solve the machining problems caused by chatter, prediction and suppression are two important methods that are commonly used by researchers and industry engineers. This article reviews the study progresses on the prediction and suppression of the chatter occurring in milling process of the low-rigidity structure. The dynamic model, acquisition of dynamic parameters, and suppression techniques are introduced. Besides, the problems and the outlooks of the future coming research are also given in the conclusions.