
Publications
Peer-reviewed Journal Articles
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Shao, S., Wang, D., Chen, X., and (2026). A novel electroplated magnetic grinding tool for magnetically driven internal finishing of additively manufactured Ti-6Al-4V tubes. Virtual and Physical Prototyping, 21(1), e2676440.
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Wang, C., Zhang, Y., Tian, S., Zhang, Z., and (2026). A Novel Magnetically Driven Impact Treatment for Internal Surface Enhancement of Titanium Tubes. Journal of Materials Processing Technology, 119218.
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Pham, D. P., Shan, Z., Jung, K. H., Lee, H. W., Chen, W., , and Kim, D. K. (2026). Lorentz-force alignment governs keyhole stability in laser metal melting. , 111877.
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Zhang, X., Hao, S., Cao, S., Jiang, H., Xu, G., Wang, G., , Niu, J., and Li, L. (2026). Hydrogen embrittlement in low-alloy steel with heterogeneous gradient structures: Competing mechanisms within the surface metamorphosed layer. , 113936.
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Tu, L., Zhang, Y., Yu, Q., Wang, X., Wang, C., Zhang, Z., Huang, L., Geng, L., Chen, Y. and , 2025. Machinability and tool wear mechanism in the high-speed milling of TiAl alloys with different microstructures. Journal of Materials Research and Technology.
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Zhang, J.#, Wang, X.#, Ma, L.#, Xi, S., Zhan, J., Li, R., Du, Y.*, Xue, J.* and Wang H* (2024). Water-induced surface ordering facilitating the microcutting of ductile metals. Journal of Cleaner Production, 481: 143994.
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Ye, H.#, Zhang, J.#, Shang, Y., Xu, G., Zhan, J., Marguet, S., Bougherara, H., Zitoune, R.* and Wang, H.* (2025). Investigation of hole quality Enhancement in new glass/flax laminates via hybrid drilling techniques. Composites Part A: Applied Science and Manufacturing, 190: 108651.
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Han, C., Yan, F., Yuan, D., Li, K., Yang, Y., and Wang D.* (2024). Machine learning enabling prediction in mechanical performance of Ti6Al4V fabricated by large-scale laser powder bed fusion via a stacking model. , 19(4), 25.
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Khan, A., Wang, X., Zhao, B.*, Ding, W., Jamil, M., Khan, A., Ali, S., Hussain, S., and Das, R. (2024). Ultrasonic vibration-assisted cutting of titanium alloys: A state-of-the-art review. , 38: 103078.
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Zhang, Y.*, Fang, C., , Chen, G., Chen, Z., Du, H., Cheng, L. and Wang, D.* (2025). Multi-source data fusion monitoring system for super-elevation in laser powder bed fusion based on bi-stream cross-mode fusion network, , 186: 108794,
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Zheng, B., Trofimov, V., Yang, Y., Han, C., Zheng, Z., Abbas, S.F., Li, S., Lei, L., Sang, J., and Wang, D., 2025. Enhancing the dimensional accuracy and manufacturing limits of laser powder bed fusion through dual-laser hybrid additive-subtractive manufacturing. , 188, p.112947.
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Tu L., An Q., Zhang J., Chen M., Yu D. (2024). Understanding tool cutting-edge microstructure and deformation mechanism induced by adhesive wear in the turning of nickel-based superalloys. Wear, 556: 205519.
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Qiu, J., Li, J., Guo, Z., Zhang, Y., Nie, B., Qi, G., Zhang, X., Zhang, J. and Wei, R., 2023. 3D printing of individualized microfluidic chips with DLP-based printer. Materials, 16(21), p.6984.
BEFORE JOINING CITYUHK
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Tian, W., Zhang, J.*, Zhao, F., Jiang, G., Mei, X.*, Chen, G., and Wang, H.* (2023). A Novel Fuzzy Echo State Broad Learning System for Surface Roughness Virtual Metrology. IEEE Transactions on Industrial Informatics.
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Tian, W., , Zhao, F., Feng, X., Mei, X., Chen, G., and Wang, H.* (2022). Interpolation-based virtual sample generation for surface roughness prediction. . 1-11.
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Zhang, J., Tian, W., Zhao, F., Mei, X., Chen, G. and Wang H* (2022). Material removal rate prediction based on broad echo state learning system for magnetically driven internal finishing. IEEE Transactions on Industrial Informatics.
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Zhang, J.#, Hong, R.#, and Wang H* (2022). 3D-printed functionally-graded lattice structure with tunable removal characteristics for precision polishing. Additive Manufacturing.
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Zhang, J. and Wang H* (2022). Magnetically driven internal finishing of AISI 316L stainless steel tubes generated by laser powder bed fusion. Journal of Manufacturing Processes, 76, 155-166.
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Nie, Q., , Hong, R., Xue J., Wang, H.* (2022). Development of morphable polishing tools with labyrinth and dimple textures. . 303:117539.
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Zhang, Y., Lee, Y. J., Chang, S., Chen, Y., Bai, Y., , and Wang, H* (2022). Microstructural modulation of TiAl alloys for controlling ultra-precision machinability. , 103851.
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Tan, C., Zhao, L., Chen, M., Cheng, J.*, Zhang, Y., , and Yan, Z. (2022). Heat accumulation effect during CO2 laser processing of fused silica optics. , 105308.
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Tian, W., Zhao, F., Sun, Z., , Gong, C., Mei, X., Chen, G., and Wang, H.* (2022). Prediction of surface roughness using fuzzy broad learning system based on feature selection. , 64, 508-517.
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Zhang, J. and Wang H* (2021). Generic model of time-variant tool influence function and dwell time algorithm for deterministic polishing. International Journal of Mechanical Sciences, 106795.
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Cao, Q., Bai, Y., Zhang, J., Shi, Z., Fuh, J., and Wang, H.* (2020). Removability of 316L stainless steel cone and block support structures fabricated by Selective Laser Melting (SLM). Materials & Design, 108691.
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Gu, X., Zhao, Q., , Guo, B., and Wang, H* (2020). Understanding the damage evolution of sapphire under scratching insight from AE signals.
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Zhang, J., Wang, H.*, Kumar, A., and Jin, M. (2020). Experimental and theoretical study of internal finishing by a novel magnetically driven polishing tool. International Journal of Machine Tools and Manufacture, 103552.
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Lu, L., , Fuh, J., Han, J., and Wang, H*. (2020). Time-optimal tool motion planning with tool-tip kinematic constraints for robotic machining of sculptured surfaces. , 65, 101969.
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Cao, Q., , Chang, S., Fuh, J., and Wang, H.*(2020). The effect of support structures on maraging steel MS1 parts fabricated by selective laser melting at different building angles.
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Lu, L., , Tian, X., Han J., and Wang, H* (2020). Tool path optimization for robot surface machining by sampling-based motion planning algorithms.
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Zhang, J., Chaudhari, A., and Wang, H.* (2019). Surface quality and material removal in magnetic abrasive finishing of selective laser melted 316L stainless steel. Journal of Manufacturing Processes, 45, 710-719.
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Ang, B., , Lin, G., Wang, H.*, Lee, W.*, and Xue, J.* (2019). Enhancing Water Harvesting through the Cascading Effect. , 11(30), 27464-27469.
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Zhang, J., Hu, J., Wang, H.*, Kumar, A., and Chaudhari, A. (2018). A novel magnetically driven polishing technique for internal surface finishing. Precision Engineering, 54, 222-232.
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Guo, J., , Wang, H.*, Liu, K., and Kumar, A. (2018). Surface quality characterisation of diamond cut V-groove structures made of rapidly solidified aluminium RSA-905. , 53, 120-133.
Conferences & Invited talks
[11] Zhang, J.*, Tian W. Non-destructive measurement method for internal surface roughness based on a magnetic tool and machine learning model. In Proceeding Euspen’s 24th International Conference & Exhibition, Dublin, Ireland (2024), Oral presentation.
[10] Zhang, J., Hong, R., Nie, Q., Wang H*. Hybrid finishing of the additively manufactured tubular lattice structure for medical application. The 10th International Conference of Asian Society for Precision Engineering and Nanotechnology, Hong Kong, China (2023). Young Researcher Award. Oral presentation.
[9] Lee Y., Zhang, J., Song, J., Wu A., Lu W., Wang H*. Vibrational abrasive polishing of lattice structures on SLM 316L stainless steel. The 8th International Conference on Nanomanufacturing & The 4th AET Symposium on ACSM and Digital Manufacturing, Dublin, Ireland (2022, virtual) (pp. 143-144), Oral presentation online.
[8] Zhang, J.*, Cao Q., Lu W. A Review on Design and Removal of Support Structures in Metal Additive Manufacturing. The 1st International Conference of Additive Manufacturing for a Better World, Singapore (2022), Oral presentation.
[7] Zhang, J.*, Tian, W. Material removal rate prediction with force signals and machine learning in magnetically driven internal finishing. In Proceeding Euspen’s 22nd International Conference & Exhibition, Geneva, Switzerland (2022) (pp. 143-144), Oral presentation.
[6] Zhang, J.*, Lum Y., and Jin M. Effect of abrasive size and glue mass ratio on material removal and surface finish in magnetically driven internal finishing process. In Proceeding Euspen’s 21st International Conference & Exhibition, Copenhagen, Denmark (2021, Virtual) (pp. 417-420), Oral presentation online
[5] Zhang, J., Jin, M., Wang, H*. Polishing performance of a novel polishing tool in magnetically driven internal finishing process. Proc. 8th Int. Conf. Asian Soc. Precis. Eng. Nanotechnol. (ASPEN 2019), Matsue, Japan (2019), p. B16. Oral presentation
[4] Zhang, J., Wang, H*. Micro-blasting of 316L tubular lattice manufactured by laser powder bed fusion. Proc. 19th Int. Conf. Eur. Soc. Precis. Eng. Nanotechnology, EUSPEN 2019, Bilbao, ES (2019) Poster presentation
[3] Zhang, J., Wang, H*. Post-processing of additively manufactured metallic components. The 5th International Conference on Additive Manufacturing and Bio-Manufacturing, Beijing, China. (2018). Oral presentation
[2] Zhang, J., Toh, A., Wang, H.*, Lu W., and Fuh, J. Vibration assisted finishing of SLM-ed structured surface based on conformal polishing tool, Proceedings of the 6th International Conference on nanoManufacturing, London, UK (2018). Oral presentation
[1] Zhang, J., Tai, W., Wang, H.*, Kumar, A., Lu, W., and Fuh, J. Magnetic abrasive polishing of additively manufactured 316L stainless steel parts. In Proceeding Euspen’s 18th International Conference & Exhibition, Venice, Italy (2018) (pp. 401-402). Heidenhain scholarship, Poster presentation
Book Chapters
[2] Wang, H., Lee, Y., Bai, Y., Zhang, J. (2023) Post-Processing for Metal-Based Additive Manufacturing towards Precision Fabrication. CRC Press. Taylor&Francis. https://doi.org/10.1201/9781003272601
[1] Lee, Y., Chaudhari, A., Zhang, J., and Wang, H. (2019). Thermally assisted microcutting of calcium fluoride single crystals. In Simulation and experiments of material-oriented ultra-precision machining (pp. 77-102). Springer, Singapore. Book Chapter