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Ning He

Researcher at Nanjing University of Aeronautics and Astronautics

Publications -  220
Citations -  3669

Ning He is an academic researcher from Nanjing University of Aeronautics and Astronautics. The author has contributed to research in topics: Machining & Tool wear. The author has an hindex of 27, co-authored 199 publications receiving 2298 citations. Previous affiliations of Ning He include Nanjing University.

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Effects of hybrid Al2O3-CNT nanofluids and cryogenic cooling on machining of Ti–6Al–4V

TL;DR: In this article, an attempt has been made to evaluate the effectiveness of two cooling and lubrication techniques namely cryogenic cooling and hybrid nanoadditive-based minimum quantity lubrication (MQL).
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Refrigerated cooling air cutting of difficult-to-cut materials

TL;DR: In this article, the effect of cooling air cutting on tool wear, surface finish and chip shape in finish turning of Inconel 718 nickel-base super alloy and high-speed milling of AISI D2 cold work tool steel was investigated.
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High speed cutting of Inconel 718 with coated carbide and ceramic inserts

TL;DR: In this article, a series of tool life experiments has been carried out using various coated carbides and ceramics by means of rapid face turning without coolant, and the results show that PVD-coated carbides KC7310 are more suitable for cutting Inconel 718 than CVD-covered carbidesKC935, and ceramic inserts of KY2000 with negative rake angle and KY2100 of round type are the best choice for the high speed turning of Inconels 718.
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Advances in micro milling: From tool fabrication to process outcomes

TL;DR: A comprehensive and up-to-date review of micro milling cutters in terms of their uniqueness, material removal mechanisms, materials and compositions, structures and design, fabrication techniques and machining performances can be found in this article.
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A fuzzy expert system for optimizing parameters and predicting performance measures in hard-milling process

TL;DR: The application of expert system technology is dealt with in order to use the experimental data for optimization of milling parameters so as to achieve targets of enhancing tool life and improving workpiece surface finish.