Basic information
Teacher Name:Tao Peng
Job title:

NAME: Tao Peng (Victor)

ADDRESS: Room 228, Building 1, Yuquan Campus, Zhejiang University

TEL: 0571-87951145 || FAX: 0571-87951145|| E-MAIL:


ORCID ID: 0000-0003-1646-6166



Educational Qualification

2014, Ph.D., University of Auckland (UoA), New Zealand, ‘Mechanical Engineering’

2009, M.E., Xi’an JiaoTong University (XJTU), China, ‘Control Science and Engineering’

2006, B.E., Xi’an JiaoTong University, China, ‘Automation’



2015.01-now, Lecturer, School of Mechanical Engineering, Zhejiang University (ZJU)

2012.02-2013.11, Librarian in Engineering Library of UoA


Professional Activity

ASME member, No. 102094071

Editor of Cogent Engineering

Reviewer of Energy, Journal of Cleaner Production, Rapid Prototyping Journal, Journal of Intelligent Manufacturing, Journal of Manufacturing Systems, Computer in Industry, Computer-Aided Design, and etc.

Member of the International Scientific/Program/Organizing Committee, 24th, 25th CIRP Conference on Life Cycle Engineering; 47th, 48th International Conference on Computers & Industrial Engineering; 9th International Conference on Innovation and Knowledge Management in Asia Pacific;



1.      Energy modeling and smart data modeling for 3D printing processes, National Natural Science Foundation of China (Grant No.51505423), PI, 2016.01-2018.12,ongoing.

2.      Development of energy estimation model and efficiency enhancement approach for NC machines considering transient energy demand, National Natural Science Foundation of Shandong Province (Grant No. ZR2016GQ11), Participator, 2016.11-2019.06, ongoing.

3.      Impact of process parameters on energy consumption and part quality for metal additive manufacturing, Director Funds of the State Key Laboratory of Fluid Power and Mechatronic Systems (Grant No. SKLoFP_ZR_1603), PI, 2016.06-2017.06.

4.      Energy consumption for auxiliary devices, Fundamental Research Funds for the Central Universities (Grant No. 2016QNA4002), PI, 2016.01-2017.12.

5.      Energy analysis and calculation method for EBSM, Education Department of Zhejiang Province (Grant No. N20150229), PI, 2015.10-2017.09.

6.      Low-carbon oriented life cycle analysis of 3D printing technology, Youth Funds of the State Key Laboratory of Fluid Power and Mechatronic Systems (Grant No. SKLoFP_QN_1503), PI, 2015.05-2017.04.

7.      Decision-making strategy for energy analysis and optimization in cloud manufacturing, Youth Funds of the Key Laboratory of Advanced Manufacturing Technology of Zhejiang Province (Grant No. 2015QN01), PI, 2015.01-2016.12.



1.      UG Course Organizer, Facility Planning and Material Handling, 2016.03-, ZJU

2.      PG/UG Course Organizer, Engineering Economy, 2015.07-, ZJU

3.      Teaching Assistant, Manufacturing Information Systems, 2015.07-2015.08, ZJU

4.      Teaching Assistant, MECHENG 224, System Dynamics Modeling Simulation and Animation, 2010.02-2010.06, UoA

5.      Teaching Assistant, Automatic Control Theory, 2007.09-2007.12,XJTU



Second Prize Teaching Achievement of ZJU, 2015-2016

Outstanding Class Advisor of ZJU, 2015-2016

Outstanding Advisor of Student Summer Social Practices of ZJU, 2016

CSC and UoA Joint Scholarship, 2010-2014


Selected Publications

1.      Peng, T., Xu, S., H. Zhang, and Y. Zhu*, Influence of exposure time on energy consumption and mechanical properties of SLM fabricated parts. Rapid Prototyping Journal, 2018. 24(7): Accepted.

2.      Lv, J., T. Peng*, R. Tang, Energy modelling and a method for reducing energy loss due to cutting load during machining operations, Proceedings of the Institute of Mechanical Engineers Part B: Journal of Engineering Manufacture, 2018. Accepted.

3.      Peng, T.* and C. Chen, Influence of energy density on energy demand and porosity of 316L stainless steel fabricated by selective laser melting, International Journal of Precision Engineering and Manufacturing - Green Technology, 2018. 5(1): p. 55-62.

4.      Hu, L., C. Peng, S. Evans, T. Peng*,Y. Liu, R. Tang, and A. Tiwari, Minimising the machining energy consumption of a machine tool by sequencing the features of a part. Energy, 2017. 121, p. 292-305. DOI: 10.1016/

5.      Hu, L., T. Peng*, C. Peng, and R. Tang, Energy consumption monitoring for the order fulfilment in a ubiquitous manufacturing environment. International Journal of Advanced Manufacturing Technology, 2017. 89(9): p. 3087-3100. DOI: 10.1007/s00170-016-9272-2.

6.      Peng, T.* and W. Sun, Energy modeling for FDM 3D printing from a life cycle perspective. International Journal of Manufacturing Research, 2017. 12(1): p. 83-98. DOI: 10.1504/IJMR.2017.10003722.

7.      Peng, T.* and X. Xu, An interoperable energy consumption analysis system for CNC machining. Journal of Cleaner Production, 2017.140(3): p. 1828-1841. DOI: 10.1016/j.jclepro.2016.07.083.

8.      Peng, T. and X. Xu*, Energy-efficient machining systems: a critical review. The International Journal of Advanced Manufacturing Technology, 2014. 72(1): p. 1389-1406.

9.      Peng, T., X. Xu*, and L. Wang, A novel energy demand modelling approach for CNC machining based on function blocks. Journal of Manufacturing Systems, 2014. 33(1): p. 196-208.

10.    Peng, T. and X. Xu*, A holistic approach to achieving energy efficiency for interoperable machining systems. International Journal of Sustainable Engineering, 2013. 7(2): p. 111-129.

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