A review of recent advances in machining techniques of complex surfaces

Li, Xiangfei; Huang, Tao; Zhao, Huan; Zhang, Xiaoming; Yan, Shuicheng; Dai, Xiaoying; Ding, Han

doi:10.1007/s11431-022-2115-x

Cited by 30 publications

(10 citation statements)

References 187 publications

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“…In the last decade, robots in manufacturing have gradually developed from manipulators with fixed bases [ 8 , 10 , 129–131 ] (adapted with permission from Ref. [ 129 ]) to robots with kinematic redundancy [ 132 ], such as manipulators mounted on rails or tracks [ 133 , 134 ], or mobile manipulators [ 9 , 12 , 135 , 136 ]. At present, climbing machining robots are revolutionizing the manufacturing mode of large and complex components [ 50–52 ].…”

Section: Discussion and Analysismentioning

confidence: 99%

Climbing robots for manufacturing

Tao

Gong

Ding

2023

National Science Review

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Robotized intelligent manufacturing is a growing trend in the manufacturing of large and complex components in aviation, aerospace, marine engineering and other industries. With their expansive workspaces and flexible deployment, climbing manufacturing robots can create a revolutionary manufacturing paradigm for large and complex components. This paper defines the climbing manufacturing robot based on the application status of climbing robots and then analyses four key technical requirements: adhesion, locomotion, localisation and control. Subsequently, the current research status of climbing robots in these four areas is classified and reviewed, along with a clarification of the research frontiers and trends in each area, and the applicability of the relevant research to manufacturing-oriented climbing robotic systems is analysed. Finally, by concluding the development trends of robotized intelligent manufacturing equipment in terms of manufacturing dimension and scale, environmental adaptability and cluster collaboration capability, we clarify the major challenges for climbing manufacturing robots in terms of adhesion principles, motion mechanisms, positioning technology and control methods, and propose future research directions in these fields.

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Section: Discussion and Analysismentioning

confidence: 99%

Climbing robots for manufacturing

Tao

Gong

Ding

2023

National Science Review

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“…20,21 Nanocellulose can be divided into three main types according to different structural and synthetic conditions, cellulose nanocrystals (CNCs), cellulose nanofibrils (CNFs), and bacterial cellulose (BC). 22,23 CNCs are extremely tiny needlelike crystals, alias cellulose nanowhiskers (CNWs) and nanocrystalline cellulose (NCC). Its diameter is 4−25 nm, and the length is between 100 and 1000 nm.…”

Section: ■ Introductionmentioning

confidence: 99%

High-Barrier Oxidized Cellulose Nanofibril/Chitosan Coating for Functional Food Packaging Materials

Cheng,

Li,

et al. 2024

ACS Appl. Polym. Mater.

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With the continuous introduction of plastic restriction policies by the government and the continuous enhancement of people's awareness of environmental protection, the demand for food packaging materials has also continued to increase, and the research and development of biodegradable green packaging materials has become the frontier research direction in the field of food packaging materials. In this study, nanocellulose-based coating solution with high barrier properties was prepared from oxidized cellulose nanofibrils (OCNFs) via sodium periodate and compounded with chitosan solution (CTS) and then coated on the substrate paper. Experiments have found that when the mass fraction of the OCNF in the OCNF/CTS coating solution is 0.5%, the coated paper exhibits the optimum comprehensive performance. The oxygen transmission rate of the OCNF/CTS-coated paper dropped to 1.732 × 10 −11 cm 3 •cm/cm 2 •s•Pa, and the water vapor transmission rate reduced to 2.236 × 10 −12 g•cm/cm 2 •s•Pa. This is due to the fact that the OCNF cross-linking with CTS improves the compactness of the paper surface layer, which in turn enhances its barrier. These findings suggested that the OCNF/CTS-coated paper has great potential and prospect in the application of food packaging materials, which provide a possible positive example of barrier coating in the packaging field.

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“…Milling of thin-walled workpieces, such as multi-framed structure workpiece, complex geometric feature workpiece et al is a common manufacturing process and widely used in aviation and weapon industry [1][2][3][4]. In milling of these aluminum alloy thin-walled workpiece, a large number of burrs obviously generates on the entrances and exits of cutting tool on workpiece surface, which affects machining quality, assembly accuracy and produces more seriously tip discharge effect caused the failure of weapon guidance and other precise systems [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Top Burr Thickness Prediction Model in Milling of Thin-Wall Workpiece considering tool and workpiece deformation

Wang¹,

Zhao²,

Zhang³

et al. 2023

Preprint

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In aviation and weapon industry, aluminum alloy thin-walled workpiece are widely used, and milling is a common manufacturing process for these thin-walled workpiece. In milling, many burrs generate on the entrances and exits of cutting tool on workpiece surface, which affects machining quality, assembly accuracy and produces more seriously tip discharge effect. To investigate the burr formation mechanism, an analyzed model of top burr thickness considering the tool deflection angle and workpiece deformation is proposed to elaborate the burr formation process in milling of thin-walled workpiece. In this process, top burr formation process is analyzed and the burr thickness is expressed by the motion relationship between cutting tools and workpieces. Then, based on energy theory, a top burr thickness predicted model considering the tool deflection angle and workpiece deformation in milling of aluminum alloy thin-walled workpiece is proposed. Subsequently, under the determined milling condition, the top burr thicknesses are calculated for verification. Finally, several milling experiments are carried out for validating the feasibility and effectiveness of the proposed model. Experimental results show that the predicted top burr thicknesses are in good agreement with the measured value in milling, and the prediction accuracy of the top burr thickness by proposed model reached 96.5%.

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A review of recent advances in machining techniques of complex surfaces

Cited by 30 publications

References 187 publications

Climbing robots for manufacturing

Climbing robots for manufacturing

High-Barrier Oxidized Cellulose Nanofibril/Chitosan Coating for Functional Food Packaging Materials

Top Burr Thickness Prediction Model in Milling of Thin-Wall Workpiece considering tool and workpiece deformation

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