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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[21] Khanna, Navneet. Optimization of Power Consumption Associated with Surface Roughness in Ultrasonic Assisted Turnin.... MATERIALS, 12, 2019.
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[22] 王冬琦. Cutting characteristics of porcine tenderloin tissue along tangential direction of surface. international Journal of Advanced Manufacturing Technology, 98, 17, 2018.
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[23] 石佳昊. On the segmentation-driven vibration in milling titanium alloy. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engine, 34, 1508, 2018.
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[24] 彭业振. A tool wear condition monitoring method for non-specific sensing signals. 国际机械科学, 2023.
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[25] 冀寒松. Episodes of single-crystal material removal mode and machinability in the micro-cutting process o.... Journal of Materials Research and Technology, 24, 2074-2085, 2023.
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[26] 曹诚. Fiber orientation effects on grinding characteristics and removal mechanism of 2.5D Cf/SiC compos.... CHINESE JOURNAL OF AERONAUTICS, 2023.
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[27] 付辉. Automatic detection and pixel-level quantification of surface microcracks in ceramics grinding: A.... 测量, 224, 2024.
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[28] 王小娟. Dynamic analysis and surface morphology prediction for deep cavity turning of bent-blade cutter. international Journal of Advanced Manufacturing Technology, 129, 4435-4455, 2023.
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[29] 李振民. Chatter suppression mechanism and parameters configuration of the spindle speed variation with pi.... international Journal of Advanced Manufacturing Technology, 122, 3041-3055, 2022.
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[30] 彭业振. Intelligent recognition of tool wear in milling based on a single sensor signal. international Journal of Advanced Manufacturing Technology, 124, 1077-1093, 2022.
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[31] 王润琼. A milling tool wear monitoring method with sensing generalization capability. JOURNAL OF MANUFACTURING SYSTEMS, 68, 25-41, 2023.
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[32] 冀寒松. Grain-scale material removal mechanisms of crystalline material micro-cutting. 国际机械科学, 233, 2022.
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[33] 王润琼. Self-adaptive fusion of local-temporal features for tool condition monitoring: A human experience.... Mechanical Systems and Signal Processing, 195, 2023.
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[34] 孟芳汀. Influence of unilateral constraint on machining dynamics of large overhang milling cutter. international Journal of Advanced Manufacturing Technology, 125, 3577-3591, 2023.
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[35] 王润琼. 基于特征自适应融合和集成学习的高性能铣削刀具状态监测. 基于铣削力精确建模的工件表面, 1-9, 2023.
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[36] 李振民. Response prediction of cantilever plates via mode superposition method and combination method of .... Mechanical Systems and Signal Processing, 200, 2023.
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[37] 冀寒松. Inconel-718微构件晶粒尺度伪随机建模与仿真. 基于铣削力精确建模的工件表面, 1-9, 2023.
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[38] 付辉. Grinding surface roughness prediction for silicon nitride ceramics: A dynamic grinding force and .... Ceramics International, 2023.
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[39] 童佳威. A Cu-based ceramic porous abrasive ring with phyllotactic pattern in internal cooling grinding of.... JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 315, 2023.
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[40] 高帆. Influence of Biocompatible Hydrophilic Coated Needle on Puncture Process through a Simulation Met.... 89, 214-221, 2020.