Yucan Fu

Nanjing University of Aeronautics and Astronautics

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Jiuhua Xu

Nanjing University of Aeronautics and Astronautics

Wenfeng Ding

Nanjing University of Aeronautics and Astronautics

Ning Qian

Nanjing University of Aeronautics and Astronautics

Zhengcai Zhao

Nanjing University of Aeronautics and Astronautics

Honghua Su

Nanjing University of Aeronautics and Astronautics

Changyong Yang

Nanjing University of Aeronautics and Astronautics

Chenwei Dai

Anhui Academy of Medical Sciences

Jiuhua Xu

Nanjing University of Aeronautics and Astronautics

Biao Zhao

Nanjing University of Aeronautics and Astronautics

Marco Marengo

King Abdullah University of Science and Technology

Cooperative Institutions

Nanjing University of Aeronautics and Astronautics

136

Chinese Academy of Sciences

University of Science and Technology Beijing

Nanjing Forestry University

Tsinghua University

Shanghai Jiao Tong University

Beihang University

Harbin Institute of Technology

Anhui University of Technology

Northwestern Polytechnical University

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Error-controlled adaptive machining of aeronautical cabin structures by laser triangulation on-machine measurement

Review of Scientific Instruments (2024)

Dawei Ding Fengyu Xu Zhong Chen Yucan Fu

Laser Triangulation On-Machine Measurement (LTOMM) is being implemented increasingly to inspect aeronautical components accurately and efficiently, with its enhanced application in adaptive machining. This work proposes an error compensation and controlling method for measuring the typical features of steps, holes, and freeform surfaces to improve accuracy. Then, the global path to inspect the cabin’s structures is planned by introducing optimization algorithms, thus providing an appropriate sequence to shorten the traveling length. After these, the test piece was designed, measured, and manufactured using the adaptive machining process that integrates the LTOMM. The results show that the measurement errors of steps, holes, and freeform surfaces are +0.0092, −0.006, and +0.0406 mm, respectively, and further reduced to +0.0013, −0.0019, and +0.0083 mm after error controlling. The cabin’s freeform surface was fabricated with the maximum positive and minimum negative errors of +0.184 and −0.123 mm, which is evaluated by the mechanical probe. The measured data-driven machining process can guarantee that the error satisfies the required tolerance, promoting the application of the LTOMM process in aeronautical intelligent manufacturing.

10.1063/5.0208794

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Citations (0)

Grinding temperature during high-efficiency grinding Inconel 718 using porous CBN wheel with multilayer defined grain distribution

The International Journal of Advanced Manufacturing Technology (2014)

Z. Z. Chen Jie Xu Wenfeng Ding C. Y.Yucan Fu

Inconel

10.1007/s00170-014-6403-5

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Citations (43)

Indentation behavior of creep-feed grinding induced gradient microstructures in single crystal nickel-based superalloy

Materials Letters (2021)

Qing Miao Wenfeng Ding Weijie Kuang Yucan Fu Zhen Yin

Indentation

Deformation mechanism

10.1016/j.matlet.2021.130956

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Citations (10)

Behavior and quantitative characterization of CBN wheel wear in high-speed grinding of nickel-based superalloy

The International Journal of Advanced Manufacturing Technology (2016)

Zhengcai Zhao Yucan Fu Jiuhua Xu Zhiwei Zhang

Inconel

10.1007/s00170-016-8686-1

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Citations (21)

MOPSO process parameter optimization in ultrasonic vibration-assisted grinding of hardened steel

The International Journal of Advanced Manufacturing Technology (2023)

Qiang Huang Biao Zhao Yutong Qiu Chaoyong Yang Yucan Fu

10.1007/s00170-023-11949-2

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Citations (5)

Guest editorial: Preface of special issue advanced manufacturing technologies in aerospace engineering

Journal of Intelligent Manufacturing and Special Equipment (2024)

Wenfeng Ding Yucan Fu Qinglong An Jinzhi Lu Guijian Xiao

In the ever-evolving landscape of aerospace engineering, the pursuit of impeccable component quality and the incorporation of cutting-edge materials have elevated the demand for advanced manufacturing technologies.The challenges posed by these requirements have spurred a crucial shift towards innovative manufacturing processes.This special issue, titled "Advanced Manufacturing Technologies in Aerospace Engineering," to address these challenges has led to the exploration and implementation of an array of advanced manufacturing processes, marking a paradigm shift in aerospace engineering.The eminent guest editors for this special issue bring a wealth of expertise in aerospace manufacturing technologies.

Component (thermodynamics)

Paradigm shift

Emerging Technologies

10.1108/jimse-02-2024-037

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Experimental study on the cooling effects of cryogenic pneumatic mist jet impinging cooling method

International Journal of Abrasive Technology (2008)

Qiang An Yucan Fu Jun Xu

Grinding, characterised by its high specific energy consumption, may generate high grinding zone temperature. These can cause thermal damage to the ground surface and poor surface integrity, especially in the grinding of difficult-to-machine materials. Conventional cooling methods based on large amounts of water-oil emulsions can be both ineffective and environmentally unacceptable. Here a new high efficiency cooling technology – Cryogenic Pneumatic Mist Jet Impinging (CPMJI) cooling technology is offered. It utilises the high penetrative power of fast cryogenic air jet combined with a little quantity of water of 0°C to greatly improve heat transfer effects in the machining zone. Experimental results, including heat transfer experiments and grinding experiments, indicate that CPMJI has strong cooling ability and can offer better cooling effects compared to cold air jet and traditional flood cooling method in the grinding of titanium alloy.

Mist

Titanium alloy

Surface grinding

10.1504/ijat.2008.020559

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Citations (2)

Fractal analysis of wear topography of brazed polycrystalline cBN abrasive grains during grinding nickel super alloy

The International Journal of Advanced Manufacturing Technology (2013)

Qing Miao Wenfeng Ding J.H. Xu Chao Yang Yucan Fu

Brazing

10.1007/s00170-013-4823-2

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