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Szymon Kurpiel, Krzysztof Zagórski, Jacek Cieslik, Krzysztof Skrzypkowski and Witold Brostow
The aerospace industry is imposing increasingly strict dimensional tolerances, which is forcing continuous development in component manufacturing. Ensuring tight dimensional tolerances is difficult for thin-walled structures due to their reduced stiffnes...
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Kun Zhang, Jianyao Yao, Wenxiang Zhu, Zhifu Cao, Teng Li and Jianqiang Xin
The thermal protection system (TPS) represents one of the most critical subsystems for vehicle re-entry. However, due to uncertainties in thermal loads, material properties, and manufacturing deviations, the thermal response of the TPS exhibits significa...
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Marco Gambitta, Bernd Beirow and Sven Schrape
The manufacturing geometrical variability in axial compressors is a stochastic source of uncertainty, implying that the real geometry differs from the nominal design. This causes the real geometry to lose the ideal axial symmetry. Considering the aerofoi...
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Elnaz Ghanbary Kalajahi, Mehran Mahboubkhah and Ahmad Barari
Closed-loop manufacturing is crucial in Industry 4.0, since it provides an online detection?correction cycle to optimize the production line by using the live data provided from the product being manufactured. By integrating the inspection system and man...
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Yaohui Zheng, Xiaoyue Huang, Minghai Wang and Pengcheng Hu
During the production process of aircraft assembly, weakly rigid parts are gradually assembled into rigid support structures in the aircraft skeleton through several assembly stations. The assembly deviations of this structure determine the quality of th...
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Thierry Decker and Slawomir Kedziora
This paper presents a new method for optimizing the thickness distribution of a functionally graded lattice structure. It links the thickness of discrete lattice regions via mathematical functions, reducing the required number of optimization variables w...
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Vivian Schiller, Sandra Klaus, Ali Bilen and Gisela Lanza
The complexity of products increases considerably, and key functions can often only be realized by using high-precision components. Microgears have a particularly complex geometry and thus the manufacturing requirements often reach technological limits. ...
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Shenren Xu, Qian Zhang, Dingxi Wang and Xiuquan Huang
Precise and inexpensive uncertainty quantification (UQ) is crucial for robust optimization of compressor blades and to control manufacturing tolerances. This study looks into the suitability of MC-adj-nonlinear, a nonlinear adjoint-based approach, to pre...
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Ihar Volkau, Abdul Mujeeb, Wenting Dai, Marius Erdt and Alexei Sourin
Deep learning provides new ways for defect detection in automatic optical inspections (AOI). However, the existing deep learning methods require thousands of images of defects to be used for training the algorithms. It limits the usability of these appro...
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Yarui Ma, Jiwen Cui, Hui Wang and Jiubin Tan
As the final flow channel of the liquid rocket engine, the manufacturing of impinging atomization nozzles has become a critical link in the manufacture of impinging atomization components. At present, the high-precision machining of millimeter nozzles in...
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