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Qinghua Song

Researcher at Shandong University

Publications -  142
Citations -  2708

Qinghua Song is an academic researcher from Shandong University. The author has contributed to research in topics: Machining & Tool wear. The author has an hindex of 23, co-authored 139 publications receiving 1493 citations. Previous affiliations of Qinghua Song include Chinese Ministry of Education.

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Wear behavior of textured tools under graphene-assisted minimum quantity lubrication system in machining Ti-6al-4v alloy

TL;DR: In this paper, the performance of textured tools while turning Ti-6Al-4V under dry, minimum quantity lubrication (MQL) using canola oil and MQL using graphene blended in canolaoil environment was discussed.
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Experimental characterisation of the performance of hybrid cryo-lubrication assisted turning of Ti–6Al–4V alloy

TL;DR: In this paper, sustainable hybrid cryogenic MQL cooling/lubrication techniques viz. Ranque-Hilsch Vortex tube plus MQL (RHVT), liquid nitrogen plus minimum quantity lubrication (N2+MQL), and liquid nitrogen(N2) are presented for turning Ti-6Al-4V utilizing CVD coated carbide insert.
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Energy-based cost integrated modelling and sustainability assessment of Al-GnP hybrid nanofluid assisted turning of AISI52100 steel

TL;DR: In this paper, a detailed and reliable cost-energy model for sustainable machining processes was developed for cost and energy consumption to define the system boundaries under different cooling conditions and a holistic sustainability assessment has been performed for the measured results.
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Tool wear and hole quality evaluation in cryogenic Drilling of Inconel 718 superalloy

TL;DR: In this article, the potential of cryogenic machining as a sustainable manufacturing process for drilling of Inconel 718 superalloy was discovered and the experimental results showed temperature-dependent tool wear drastically reduced under cryogenic drilling as compared to dry drilling, and this leads to a reduction in torque values up to 30%.
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Evolutions of grain size and micro-hardness during chip formation and machined surface generation for Ti-6Al-4V in high-speed machining

TL;DR: In this paper, the authors investigated the evolution of grain size and micro-hardness during high-speed machining of Ti-6Al-4V alloy using the finite element method (FEM) and user subroutine VUSDFLD of Abaqus/Explicit.