Lvjingxiang Associate professor

• Department: School of Construction Machinery
• Gender: male
• BirthDate: 1986-03-07
• Career: Associate professor
• Degree: Ph.D
• Academic Credentials: Post graduate
• Graduate School: Zhejiang University
• Tel:
• Email: lvjx@chd.edu.cn
• Address School: Middle Section of South Second Ring Road, Xi an City, Shaanxi Province
• PostCode School: 710064
• Fax School:
• Office Location: Room 403, School of Construction Machinery
• Education experience:

  2008.09-2014.03, Zhejiang University, Doctor of Engineering in Department of Mechanical Engineering with major in Mechanical Manufacturing and Automation.

  2004.09-2008.07, Zhejiang University, Bachelor of Engineering in School of Mechanical and Energy Engineering with major in Industrial Engineering.

  
  

Jingxiang Lv, born in March 1986, was born in Tianzhen, Shaanxi. Teacher and Associate Professor of the Department of Mechanical Manufacturing, School of Engineering Machinery, Chang'an University. His research direction is low-carbon manufacturing and additive manufacturing.

In 2004, he was admitted to the School of Mechanical and Energy Engineering of Zhejiang University with a bachelor's degree in Industrial Engineering. In 2008, he began to study for a Ph.D. In 2014, he obtained a Ph.D. degree in Mechanical Manufacturing and Automation from Zhejiang University. After that, he did postdoctoral research at School of Mechatronics in Northwestern Polytechnical University from 2015-2017, and then worked at Chang'an University in 2018 until now. He visited Melardalen University in Sweden in 2017 and did postdoctoral research at Cardiff University in the UK in 2018-2019. He was the principle investigator for 1 Project from National Natural Science Foundation of China, 1 Project from Natural Science Basic Research Program of Shaanxi, and 1 Project from the Fundamental Research Funds for the Central Universities.

He has published more than 30 papers in Journal of cleaner production, International Journal of Production Research, Advances in Applied Ceramics, International Journal of Advanced Manufacturing Technology, Computer Integrated Manufacturing System and other magazines. He obtained 5 patents, and 4 items of software copyright.

1. Low-carbon manufacturing, including: energy consumption modeling and optimization of machining processes, and analysis of low-carbon transformation paths for energy-intensive industries.

2. Additive manufacturing, including: quality and energy consumption modeling of additive manufacturing, finite element simulation of metal additive manufacturing.

1. Fundamental of mechanical manufacturing technology, 32 hours, 2021

2. CNC machine tools and programming, 40 hours, 2021

3. Internship of Mechanical manufacturing production, 3 weeks, 2020-2021.

Research funds

[1] Research on Quality Modeling and Process Optimization of Selective Laser Melting Process, Natural Science Basic Research Program of Shaanxi Province, 2020JQ-380, 2020/01-2021/12, CNY 30 000, main applicant.

[2] Hybrid mechanism and data driven optimization of processing parameters of high-quality and low-carbon additive manufacturing, 300102250303, CNY 80 000, main applicant.

[3] Study on energy consumption evolution mechanism and optimal operation method of production machines of building ceramics for low-carbon manufacturing, 51705428, CNY 200 000, main applicant.

[1]Jizhuang Hui, Zhiqiang Yan, Jingxiang Lv, Yongsheng Liu, Kai Ding, Felix T.S. Chan, An investigation on energy consumption and part quality of stereolithography apparatus manufactured parts, Rapid Prototyping Journal, 2021. (Online, in Press).

[2]Jingxiang Lv, Shun Jia, Huifeng Wang, Kai Ding, Felix T.S. Chan, Comparison of different approaches for predicting material removal power in milling process, Int. J. of Advanced Manufacturing Technology, 2021. (Online, in Press).

[3]Jingxiang Lv, Peng Tao*; Zhang Yingfeng* ; Wang Yuchang, A novel method to forecast energy consumption of selective laser melting processes, International Journal of Production Research, 2021, 59(8): 2375-2391.

[4]Tao Peng, Jingxiang Lv,Arfan Majeed, Xihui Liang. An experimental investigation on energy-effective additive manufacturing of aluminum parts via process parameter selection [J]. J Clean Prod, 2021, 279: 123609.

[5]Yingfeng Zhang*, Arfan Majeed, Muhammad Muzamil, Jingxiang Lv, Tao Peng, Vivek Patel. Investigation for macro mechanical behavior explicitly for thin-walled parts of AlSi10Mg alloy using selective laser melting technique [J]. J Manuf Processes, 2021, 66: 269-280.

[6]Bufan Liu, Yingfeng Zhang,*, Jingxiang Lv, Arfan Majeed, Chun-Hsien Chen, Dang Zhang. A cost-effective manufacturing process recognition approach based on deep transfer learning for CPS enabled shop-floor [J]. Robot Comput-Integr Manuf, 2021, 70: 102128.

[7]Jingxiang Lv*,  Renzhong Tang, Jun Zheng，Data-driven methodology for energy consumption prediction of turning and drilling processes, Computer Integrated Manufacturing Systems, 2020. 26(8): 2073-2082.

[8]Jingxiang Lv, Zhiguo Wang * , Shuaiyin Ma (2020), “Calculation method and its application for energy consumption of ball mills in ceramic industry based on power feature deployment”, Advances in Applied Ceramics, 119(4):183-94.

[9]Shuaiyin Ma, Yingfeng Zhang*, Jingxiang Lv**, Yuntian Ge, Haidong Yang, Lin Li. Big data driven predictive production planning for energy-intensive manufacturing industries [J]. Energy, 2020, 211: 118320.

[10]Zhengang Guo, Yingfeng Zhang*, Jingxiang Lv, Yang Liu*, Ying Liu, An Online Learning Collaborative Method for Traffic Forecasting and Routing Optimization [J]. IEEE Transactions on Intelligent Transportation Systems, 2020, 1-12. (In Press).

[11]Arfan Majeed*, Altaf Ahmed, Jingxiang Lv**, Tao Peng, Muhammad Muzamil. A state-of-the-art review on energy consumption and quality characteristics in metal additive manufacturing processes [J]. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2020, 42(5): 249.

[12]Shuaiyin Ma, Yingfeng Zhang**, Yang Liu*, Haidong Yang, Jingxiang Lv, Shan Ren. Data-driven sustainable intelligent manufacturing based on demand response for energy-intensive industries [J]. J Clean Prod, 2020, 274: 123155.

[13]Arfan Majeed, Yingfeng Zhang^⁎, Shan Ren, Jingxiang Lv, Tao Peng, Saad Waqar, Enhuai Yin. A big data-driven framework for sustainable and smart additive manufacturing [J]. Robot Comput-Integr Manuf, 2021, 67: 102026.

[14]Jingxiang Lv, Gu, F., Zhang W.J, et al. (2019) “Life cycle assessment and life cycle costing of sanitary ware manufacturing: A case study in China”, J Clean Prod., 2019: 117938. 

[15]Jingxiang Lv, Tang, R.Z., Tang, W.C.J, Jia, S., Liu, Y., Cao, Y.L. (2018) “An investigation into methods for predicting material removal energy consumption in turning”, J Clean Prod., 193: 128-139. 

[16]Jingxiang Lv, Peng, T., Tang, R.Z. (2018) “Energy modeling and a method for reducing energy loss due to cutting load during machining operations”, Proc Inst Mech Eng Part B J Eng Manuf., 233(3):699-710. 

[17]Jingxiang Lv, Tang, R.Z., Tang, W.C.J., Liu, Y., Zhang, Y.F., Jia, S. (2017) “An investigation into reducing the spindle acceleration energy consumption of machine tools”, J Clean Prod., 143: 794-803. 

[18]Jingxiang Lv, Tang, R.Z., Jia, S., Liu, Y. (2016) “Experimental study on energy consumption of computer numerical control machine tools”, J Clean Prod., 112, Part 5: 3864-3874. 

[19]Majeed, A.,Iqbal, A., Jingxiang Lv.* (2018) “Enhancement of tool life in drilling of hardened AISI 4340 steel using 3D FEM modeling”, Int. J. of Advanced Manufacturing Technology, 95(5-8): 1875-1889. 

[20]Majeed, A.,Jingxiang Lv*, Peng, T.(2018) “A framework for big data driven process analysis and optimization for additive manufacturing”, Rapid Prototyping Journal, Article ID: RPJ-04-2017-0075, accepted. 

[21]Zhang, Y.F., Zhu, Z.F., Jingxiang Lv(2018) “CPS-Based Smart Control Model for Shopfloor Material Handling”, IEEE Transactions on Industrial Informatics, 14(4): 1764-1775. 

[22]Zhang, Y.F., Qian, C., Jingxiang Lv, Liu Y.(2017) “Agent and cyber-physical system based self-organizing and self-adaptive intelligent shopfloor”, IEEE Transactions on Industrial Informatics, 13 (2): 737-747. 

[23]Jia, S., Yuan, Q.H., Jingxiang Lv, Liu, Y., Ren D., Zhang Z.W. (2017) “Therblig-embedded value stream mapping method for lean energy machining”, Energy, 138: 1081-1098. 

[24]Jia, S., Tang, R.Z., Jingxiang Lv, Yuan, Q.H., Peng, T. (2017) “Energy consumption modeling of machining transient states based on finite state machine”, Int. J. ofAdvanced Manufacturing Technology, 88(5-8): 2305-2320.

[25]Jia, S., Tang, R.Z., Jingxiang Lv, Zhang, Z.W., Yuan, Q.H. (2016) “Energy modeling for variable material removal rate machining process: an end face turning case”, Int. J. of Advanced Manufacturing Technology, 85(9): 2805-2818. 

[26]Jia, S., Tang, R.Z., Jingxiang Lv. (2016) “Machining activity extraction and energy attributes inheritance method to support intelligent energy estimation of machining process”, Journal of Intelligent Manufacturing, 27(3): 595-616. 

[27]Zhong, Q.Q., Tang, R.Z., Jingxiang Lv, Jia, S., Jin, M.Z. (2016)“Evaluation on models of calculating energy consumption in metal cutting processes: a case of external turning process”, Int. J. ofAdvanced Manufacturing Technology, 82(9-12): 2087-2099.

[28]Jia, S., Tang, R.Z., Jingxiang Lv.(2014) “Therblig-based energy demand modeling methodology of machining process to support intelligent manufacturing”, Journal of Intelligent Manufacturing,25(5): 913-931.

[29]Hu L.K., Liu Y., Lohse, N., Tang. R.Z.,Jingxiang Lv, Peng, C., Evans, S. (2017) “Sequencing the features to minimise the non-cutting energy consumption in machining considering the change of spindle rotation speed”, Energy, 139: 935-946. 

[30]Jingxiang Lv, Renzhong Tang*, Shun Jia. Therblig-based energy supply modeling of computer numerical control machine tools [J]. J Clean Prod, 2014, 65(0): 168-177.

Patents:

[1] Jingxiang Lv, Tao Peng. A method for predicting energy consumption in additive manufacturing process, 2020.11.24, China, ZL201811238146.4, Invention, authorized.

Software copyright:

[1] Jingxiang Lv, Jizhuang Hui, Jian Huang, Zhiqiang Yan. Energy Consumption Prediction System for Additive Manufacturing V1.0, 2021.5.25, China, Registration number: 2021SR0759698.

[2] Jingxiang Lv, Kai Ding, Anjie Li. Energy Efficiency Management Platform for Energy-intensive Enterprises V1.0, 2021.6.2, China, Registration number: 2021SR0823167.

[3] Jingxiang Lv, Lichuan Chen, Haiyan He. Tingou Material Warehouse Management System V1.0, 2021.5.26, China, Registration number: 2021SR0772770.

[4] Jingxiang Lv, Lichuan Chen, Haiyan He. Tingou Production Capacity Balance System V1.0, 2021.5.26, China, Registration number: 2021SR0772764.

In 2017, he was selected as a member of International Clean Energy Talent Program by the China Scholarship Council.

Chang’an University, Xi’an 710064     January 2021-Present

Associate professor, Mechanical Engineering, School of Construction Machinery

Chang’an University, Xi’an 710064     September 2018-December 2020

Lecture, Mechanical Engineering, School of Construction Machinery

Cardiff University, Cardiff, UK     September 2018-November 2019

Postdoctoralresearch fellow, Department of Energy, School of Engineering

Mälardalen University, Mälardalen, Sweden     September 2017- December 2017

Visiting scholar, School of Business, Society and Engineering

Northwestern Polytechnical University, Xi’an 710072  December 2015- August 2018

Postdoctoral, Industrial Engineering, College of Mechanic and Electronic Engineering