Li Tao
Associate Professor Supervisor of Doctorate Candidates Supervisor of Master's Candidates
Gender:Female
Alma Mater:Harbin Institute of Technology
Degree:Doctoral Degree
School/Department:School of Mechanical Engineering
Discipline:Mechanical Design and Theory. Intelligent Manufacturing. Mechanical Manufacture and Automation. Mechanical Engineering. Intelligent Manufacturing Technology
Business Address:8027 room, School of Mechanical Engineering building
E-Mail:
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Date:2024-07-02
Date of Publication:2022-10-09
Journal:大连理工大学学报
Volume:59
Issue:1
Page Number:45-52
ISSN:1000-8608
Abstract:An energy consumption model based on graphical evaluation and review technology (GERT) is proposed with regard to the difficulty in assessing the energy consumption in parts remanufacturing.Firstly, the energy consumption characteristics in parts remanufacturing and the reasons of energy consumption uncertainty are analyzed and the general law of energy consumption in each remanufacturing process is explained.Secondly, the GERT-based energy consumption model for parts remanufacturing is established and the computational approaches for the probability and the expected energy consumption under different remanufacturing treatments are proposed.Finally, an engine crankshaft remanufacturing is taken as an illustrative case to validate the proposed model and method.A comparison with simulation results of Arena software is conducted to testify the feasibility of the results.
Note:新增回溯数据
Ph.D, associate professor, doctoral supervisor, graduated from Harbin Institute of technology, mainly engaged in product sustainability evaluation methods, laser repair technology, mechanical equipment energy consumption analysis and evaluation, enterprise information technology development and application. Reviewers of many domestic and foreign journals in related fields, presided over or participated in more than 20 projects of national key research and development plan, national 973 program, national Natural Science Foundation of China and enterprises, and published more than 100 papers. Ph.D Li has trained or assisted in the training of more than 50 doctoral and master degree students.
