Song Qinghua
Professor
Dr. Song graduated from Shandong University in 2009, majoring in Mechanical Manufacturing and Automation. He is now a professor of Mechanical Engineering at Shandong University and the associate dean of Mechanical Engineering at Shandong University. His current research interests include high performance manufacturing technology and equipment, intelligent monitoring for manufacturing process, structural vibration and control, and biomedical ma... More+
Paper Publications
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[181] Song Qinghua. Progress for sustainability in the mist assisted cooling techniques: A critical review. international Journal of Advanced Manufacturing Technology, 2020.
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[182] Zhanqiang Liu and Song Qinghua. Influence of biocompatible hydrophilic needle surface coating on puncture biopsy process for biom.... Coatings, 10, 2020.
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[183] Song Qinghua. Energy-based cost integrated modelling and sustainability assessment of Al-GnP hybrid nanofluid a.... Journal of cleaner production, 2020.
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[184] Song Qinghua. Wear behavior of textured tools under graphene-assisted minimum quantity lubrication system in ma.... Tribology International, 2020.
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[185] Song Qinghua. Machinability investigations of hardened steel with biodegradable oil based MQL spray System. international Journal of Advanced Manufacturing Technology, 2020.
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[186] Song Qinghua. Realization of low latent heat of a solar evaporator via regulating the water state in wood chann.... ACS Applied Materials & Interfaces, 12, 18504, 2020.
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[187] Song Qinghua. Ecological, economical and technological perspectives based sustainability assessment in hybrid-c.... Sustainable Materials and Technologies, 2020.
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[188] mahaifeng. Comparison of disturbance compensators for a discrete-time system with parameter uncertainty. Applied Sciences-Basel, 2020.
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[189] wangbing , Zhanqiang Liu , Song Qinghua , Wan Yi , Sunny and 王兵. A Modified Johnson-Cook Constitutive Model and Its Application to High Speed Machining of 7050-T7.... JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME, 141, 2019.
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[190] Du Yicong , Song Qinghua , Zhanqiang Liu and Wan Yi. Size-dependent responses of micro-end mill based on strain gradient elasticity theory. international Journal of Advanced Manufacturing Technology, 100, 1839, 2019.
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[191] Song Qinghua and Zhanqiang Liu. Machining characteristics based life cycle assessment in eco-benign turning of pure titanium allo.... Journal of Cleaner Production, 2020.
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[192] Song Qinghua and Zhanqiang Liu. Vibration suppression of thin-walled workpiece milling using a time-space varying PD control meth.... international Journal of Advanced Manufacturing Technology, 2019.
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[193] Song Qinghua , Zhanqiang Liu and Chen Long. Hydrodynamic lubrication analysis of two-dimensional section between piston skirt and textured cy.... Tribology International, 2019.
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[194] Song Qinghua. Performance evaluation of vegetable oil-based nano-cutting fluids in environmentally friendly mac.... MATERIALS, 2019.
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[195] Song Qinghua , Zhanqiang Liu and Wan Yi. A generalized cutting force model for five-axis milling processes. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE, 233, 3, 2019.
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[196] Song Qinghua and Zhanqiang Liu. Influence of rotational damping on stability in end milling processes. International Journal of Advanced Manufacturing Technology , 2018.
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[197] Song Qinghua , Zhanqiang Liu , Wan Yi and 石佳昊. On the segmentation-driven vibration in milling titanium alloy. Journal of Engineering Manufacture , 2018.
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[198] Song Qinghua , Zhanqiang Liu and Wan Yi. A generalized cutting force model for five-axis milling processes. Journal of Engineering Manufacture , 2018.
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[199] Song Qinghua , Zhanqiang Liu and Du Yicong. Size-dependent responses of micro-end mill based on strain gradient elasticity theory. International Journal of Advanced Manufacturing Technology , 2018.
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[200] Song Qinghua , Zhanqiang Liu and 高建. Chatter detection and stability regions acquisition in thin-walled workpiece milling based on CMW.... International Journal of Advanced Manufacturing Technology , 2018.