個人簡介
方正隆，教授，博士生導(dǎo)師，國家級青年人才、德國洪堡資深學(xué)者，日本精密工學(xué)學(xué)會沼田獎獲得者。2017年畢業(yè)于日本東京大學(xué)機械系，獲工學(xué)博士學(xué)位?；貒ぷ髑霸谌毡緰|京大學(xué)機械系從事高性能加工技術(shù)研究工作。目前主要研究方向包括齒輪高速創(chuàng)成切削/磨削、增減材復(fù)合加工、表面完整性建模與優(yōu)化等。主持國家自然科學(xué)基金優(yōu)秀青年基金（海外）、德國洪堡基金會資深學(xué)者、科技部國際合作司等項目。代表性研究成果以第一作者兼/或通訊作者發(fā)表在 CIRP Annals、Int. J. Mach. Tools Manuf.、Int. J. Fatigue、Mech. Syst. Sig. Process.等高水平期刊上。研究成果獲多項學(xué)會及行業(yè)獎勵，并成功應(yīng)用于多家國內(nèi)外裝備制造企業(yè)。
基本信息
辦公地點：北京市航空航天大學(xué)沙河校區(qū)科研三號樓527
電子郵件：fangzhl@buaa.edu.cn
教育背景
日本東京大學(xué) 機械工程學(xué)院 博士 2014-2017
華中科技大學(xué) 機械科學(xué)與工程學(xué)院 碩士 2009-2012
華中科技大學(xué) 機械科學(xué)與工程學(xué)院 學(xué)士 2005-2009
工作經(jīng)歷
北京航空航天大學(xué) 機械工程及自動化學(xué)院 副教授/教授 2023-至今
日本東京大學(xué) 機械工程 博后/助教 2014-2022
研究方向
1、高性能制造：齒輪高速創(chuàng)成加工、增減材復(fù)合加工、表面完整性建模與優(yōu)化等
2、智能制造：表面創(chuàng)成微觀形貌仿真、加工過程虛擬建模等
講授課程
1、智能制造技術(shù)與裝備
代表性科研項目
1、國家級人才計劃，高性能車齒技術(shù)，2023-2026，主持
2、德國洪堡基金會，資深學(xué)者項目，2024-2025，主持
3、國家級外專引智，高強度鋼增減協(xié)同切削技術(shù)，2025-2026，主持
4、通用技術(shù)集團產(chǎn)學(xué)研合作，高性能齒輪加工技術(shù)，2025-2027，主持
代表性學(xué)術(shù)論文（*為通訊作者）
1.Bai, T., Wang, C., Yu, G., Kolmanovskyi, M., Saelzer, J., Kizaki, T., Biermann, D., Fang, Z.* (2025). Towards understanding the surface strengthening mechanism in negative rake angle cutting of additively manufactured stainless steel, CIRP Annals 74, 77–80.
2.Wang, C., Fang, Z.*, Kizaki, T.*, & Sugita, N. (2025). Towards understanding the machining effect on the additively manufactured stainless steel for various scanning directions: Texture evolution and mechanical properties. Materials & Design, 252, 113776.
3.Shu L., Fan J., Liu J., Lin L., Wei Y., Z. Fang*, (2025) Towards understanding the time-dependent microstructural evolution mechanism of GCr15 bearing in rolling contact fatigue, International Journal of Fatigue, 199, 109078.
4.Ye, H., Chen, Z., Si, C., & Fang, Z*. (2024). A novel shape-curved tool design aiming at high-quality blisk root-fillet surface polishing. Journal of Manufacturing Processes, 127, 304–313.
5.Chen, S., Bai, T., Zhang, Y., Fang, Z.*, & Chen, Z*. (2024). Geometric error suppression of six-axis machine tool for blisk full-shape surface grinding via constrained error sensitivity analysis. Precision Engineering, 88, 1–14.
6.Ren, Z., Fang, Z.*, Arakane, T., Kizaki, T., Feng, Y., Nagata, T., Komatsu, Y., & Sugita, N. (2024). Chipping analysis and prediction in gear skiving process using multi-infeed strategy. Mechanical Systems and Signal Processing, 211, 111169.
7.Fang, Z.*, Ren, Z., Schulze, V., Feng, Y., Nagata, T., Furukawa, S., Tomiyama, K., & Kizaki, T. (2023). Understanding the gear surface enhancement by hard-hobbing via ferritic-martensitic grain analysis. CIRP Annals, 72(1), 505–508.
8.Shu, L., Fang, Z., Wang, C., Katsuma, T., Zhang, B., & Sugita, N*. (2023). Effect of single-grit wear on surface integrity of hardened stainless steel in dry grinding. CIRP Annals, 72(1), 259–262.
9.Ren, Z., Fang, Z.*, Kizaki, T., Feng, Y., Nagata, T., Komatsu, Y., & Sugita, N. (2022). Understanding local cutting features affecting surface integrity of gear flank in gear skiving. International Journal of Machine Tools and Manufacture, 172, 103818.
10.Fang, Z.*, & Sugita, N. (2022). Towards understanding and controlling of the surface texture pattern in 5-axis ball-end milling using fast texture simulation. Precision Engineering, 74, 80–91.
11.Fang, Z.*, Ren, Z., Kizaki, T., & Sugita, N. (2022). Interference-based technique for designing cutter flank using multiple radial infeed in gear skiving. Mechanism and Machine Theory, 169, 104678.
12.Fang, Z.*, Ren, Z., Shu, L., Kizaki, T., & Sugita, N. (2022). A parametric modeling for fast radial infeed planning process in gear skiving. Mechanism and Machine Theory, 174, 104909.
13.Fang, Z.*, Ren, Z., Kizaki, T., Feng, Y., Nagata, T., Tomiyama, K., & Sugita, N. (2022). Towards understanding subsurface integrity alteration of gear fillet formed by gear skiving method. Materials & Design, 218, 110708.
14.Fang, Z., Yang, M., & Nakao, M.* (2022). Strain-induced magnetic degradation in shearing FeSiB nanocrystalline thin foils analyzed by magneto-optical Kerr effect. CIRP Annals, 71(1), 493–496.
15.Fang, Z.*, Nagato, K., Liu, S., Sugita, N., & Nakao, M. (2021). Investigation into surface integrity and magnetic property of FeSiB metallic glass in two-dimensional cutting. Journal of Manufacturing Processes, 64, 1098–1104.
16.Fang, Z.*, Nagato, K., Sugita, N., & Nakao, M. (2021). Grinding performance and delamination analysis of FeSiB metallic glass laminate. Journal of Advanced Mechanical Design, Systems, and Manufacturing, 15(4), JAMDSM0041–JAMDSM0041.
17.Fang, Z.*, Ren, Z., Kizaki, T., Feng, Y., Kugo, J., Komatsu, Y., & Sugita, N. (2021). Construction of uncut chip geometry in gear skiving using level contours. Precision Engineering, 73, 93–103.
18.Fang, Z.*, Nagato, K., Shimura, T., Murakami, M., & Nakao, M. (2020). Micro-level Clearance Punching on NGO Electrical Steel. Journal of Manufacturing Science and Engineering, 142(8), 084501.
19.Fang, Z.*, & Obikawa, T. (2020). Influence of cutting fluid flow on tool wear in high-pressure coolant turning using a novel internally cooled insert. Journal of Manufacturing Processes, 56, 1114–1125.
20.Fang, Z., & Nakao, M.* (2020). Local magnetic deterioration on work-hardening layer of FeSiB metallic glass by milling. CIRP Annals, 69(1), 501–504.
21.Ren, Z., Fang, Z.*, Arakane, T., Kizaki, T., Nishikawa, T., Feng, Y., Kugo, J. K., Nabata, E., & Sugita, N. (2020). Parametric modeling of uncut chip geometry for predicting crater wear in gear skiving. Journal of Materials Processing Technology, 290, 116973.
22.Fang, Z.*, & Obikawa, T. (2017). Turning of Inconel 718 using inserts with cooling channels under high pressure jet coolant assistance. Journal of Materials Processing Technology, 247, 19–28.
23.Fang, Z.*, & Obikawa, T. (2017). Cooling performance of micro-texture at the tool flank face under high pressure jet coolant assistance. Precision Engineering, 49, 41–51.
學(xué)術(shù)與社會服務(wù)
1、日本精密工學(xué)學(xué)會、國際納米制造學(xué)會（ISNM）等國際學(xué)術(shù)組織會員、日本東京大學(xué)客座研究員；
2、Mechanism and Machine Theory、Int. J. Mach. Tools Manuf.、Mechanical Systems and Signal Processing、Soft Matter等國際期刊的審稿人。
Zhenglong Fang, Ph.D.
Beihang University
School of Mechanical Engineering and Automation
fangzhl@buaa.edu.cn
Function-oriented cutting/grinding, intelligent manufacturing
The University of Tokyo, Tokyo, Japan
Ph.D., Engineering, 03/2017
Huazhong University of Science & Technology, Wuhan, China
M.S., Mechanical Engineering, 03/2012
B.S., Mechanical Engineering, 06/2009
Research and Professional Experience |
Professor in the School of Mechanical Engineering and Automation
Beihang University, Beijing, China 2023 - present
Post-doc/Assistant Professor in the Department of Mechanical Engineering
The University of Tokyo, Tokyo, Japan 2017 - 2022
