第三届机电一体化技术与智能制造国际学术会议（ICMTIM 2022）
The 3rd International Conference on Mechatronics Technology and Intelligent Manufacturing
April 15-17, 2022, Hangzhou, China
Official Website: www.icmtim.org
EI Compendex，Scopus
Deadline for submission: April 8, 2022
Deadline for registration: April 14, 2022
Notification of acceptance or rejection: 7 days after submission of manuscript
The 3rd International Conference on Mechatronics Technology and Intelligent Manufacturing (ICMTIM 2022), sponsored by AEIC Academic Exchange Center, will be held in Hangzhou, China on April 15-17, 2022. The ICMTIM 2022 conference will be held once a year, aiming at bringing together scholars, experts, developers and technicians in the fields of mechatronics and intelligent manufacturing to a platform for academic exchanges, and providing a platform for sharing scientific research achievements and cutting-edge technologies, understanding academic development trends, broadening research ideas, strengthening academic research and discussion, and promoting industrial cooperation of academic achievements. The conference invites experts, scholars, business people and other relevant personnel from universities and research institutions at home and abroad to attend and exchange.
○CALL FOR PAPER:
Mechatronics Technology Mechatronics Control Sensors and Actuators 3D Printing Technologies Intelligent control Motion Control Opto-Electronic Systems Optomechatronics Humanoid Robots Human-Machine Interfaces Advanced Motion Control Integrated Manufacturing System Vibration and Noise Control Smart Materials and Structures Precision Measurement Technology Micro/Nano-Manufacturing and MEMS/NEMS Artificial Intelligence and Intelligent Control Fault detection and diagnosis in mechatronics systems Industrial Robots and Automatic Production Line Advanced Forming Manufacturing and Equipment NEMS/MEMS Technology and Equipment Modeling, analysis and simulation of manufacturing processes High-speed/Precision Machining and Inspection Technology | Intelligent Manufacturing Modeling and Design Intelligent Systems Intelligent mechatronics Micro-Machining Technology Sustainable Production Recycling and Remanufacturing Rapid Manufacturing Digital Manufacturing (CAx, CAPP, MES, DES, etc.) Micro-Electronic Packaging Technology and Equipment Theory and Application of Friction and Wear Integrated Manufacturing System Analysis and Decision of Industry & Manufacturing System Digital Manufacture and Management Green Supply Chain System Analysis and Industrial Engineering Manufacturing Systems and Industry Application Modeling, analysis and simulation of manufacturing processes Collaborative and Digital Manufacturing for Advancing Product Quality |
| Other Related Topic | |
○Keynote Speaker
Prof. Heng Gu
Department of Mechanical Manufacturing, School of Mechanical Engineering, Jiangsu University, China
Introduction: He is mainly engaged in the research of laser material processing fields such as laser metal deposition, laser welding, multi-material Additive Manufacturing, etc. At present, he is in charge of Jiangsu Natural Science Youth Fund, Jiangsu "Double Creation Doctor" Fund and Jiangsu University Senior Talents Start-up Fund, has published more than 10 papers in international journals such as heat and mass, Optics and Laser Technology, additive manufacturing, etc., and is the reviewer of several international journals.
Research interests: laser material processing and manufacturing, laser cladding technology, narrow gap laser welding technology, selective laser melting technology, fluid-particle multi-physical field coupling laser molten pool simulation.
Assoc. Prof. Guanglei Wu
Dalian University of Technology, School of Mechanical Engineering, China
Research Area: Mechanism theory and Robotics, Robot design and control, industrial robots and application, industrial engineering
Title: Robotic welding in large-scale ship hull construction
Abstract: With the rapid development of robotic technology, industrial robots have been widely used in welding engineering, thanks to their high efficiency, good stability, and high precision, which plays an irreplaceable role in the transformation of labor-intensive industries to automated production. This presentation will introduce the robotic welding in large-scale ship hull construction for Dalian Shipbuilding Industry Co affiliated DSIC Equipment Manufacture Co., Ltd. A robotic welding system is developed by integrating the industrial robots, gantry system, flexible computer-aided manufacturing system, etc. Prior to real applications, simulation of thermal effects, path planning, and operation scenarios are carried out to find the optimal manufacturing processing. In order to improve the welding precision, an approach of offline programed error compensation for the industrial robots is proposed, which can effectively reduce the positioning error. Finally, industrial management software is developed to build the communications among the protocols of various mechatronic devices, and to send/receive the commands between the integrated manufacturing system and production requirements.
Assoc. Prof. Hongtao Tang
Wuhan University of Technology, School of Mechanical and Electrical Engineering, China
Main Achievements: In recent years, he is mainly engaged in digital design, digital manufacturing, intelligent manufacturing, intelligent optimization algorithm and application in manufacturing industry (automobile, hydraulic cylinder, mold, casting and other industries). Developed the digital design software suitable for automobile, hydraulic cylinder, mold, casting and other industries, and developed the intelligent manufacturing PLM/ERP/MES/SCADA intelligent manufacturing system, which has been applied in many companies in different industries and achieved great economic benefits. Presided over 2 national natural science general and youth funds, with more than 20 horizontal funds, with a total fund of over 8 million yuan. He has published more than 60 academic papers, including 20 SCI papers, 1 English monograph, 20 soft books, 6 invention patents, and reviewers of more than 20 international journals such as IJPR, JCLP, CAIE, JIM, ASOC and COR.
Title: Intelligent scheduling and the development ＆ application of MES system in hydraulic cylinder manufacturing
Abstract: Under the framework of the Industrial Internet, explore the complete set of flexible construction theories, methods, technologies and software for the production and manufacturing process of high-end hydraulic cylinders. Solve the problems of high-end hydraulic cylinder manufacturing whole process system reconstruction and optimization difficulty, manufacturing whole process resource scheduling optimization difficulty, manufacturing whole process resource control system landing difficulties, etc., significantly improve the high-end hydraulic cylinder production factors optimization configuration and collaborative operation efficiency. Establish a high-end hydraulic cylinder processing and assembly full-process production scheduling optimization framework, carry out research on the two-stage scheduling optimization method of the flexible operation workshop in the pre-machining stage and the flexible operation workshop in the post-assembly stage, and develop a customized MES system based on this model framework, which is of great significance for realizing the data-driven hydraulic cylinder manufacturing whole process system reconstruction and realizing the distributed resource regulation of the system under dynamic disturbance and the multi-objective optimization of the whole process.
Prof. Kai Wang
School of Electrical Engineering, Qingdao University, China
Research Area: State evaluation and life prediction of new energy storage devices; Energy storage element; Storage and transformation of new energy; Distributed microgrid and energy storage; Energy; Ladder utilization of energy storage devices, etc.
Title: Research on life prediction of supercapacitor based on improved long-term and short-term memory neural network
Abstract: Long short-term memory neural network optimized based on hybrid genetic algorithm is proposed to predict the remaining useful life of supercapacitors. First, determine the input variables of the deep neural network. By analyzing the structural characteristics between the electrode and the solution, and the characteristics and laws of the movement of internal charges, the energy storage mechanism of the supercapacitor is studied, and the influencing factors of the supercapacitor performance aging are obtained. The input variables of the neural network model are determined according to the influencing factors of the performance aging of the supercapacitor, in order to achieve accurate prediction of the remaining useful life of the supercapacitor. Secondly, two tests are designed to obtain supercapacitor aging data. A large amount of data is the basis of high precision for life prediction, to fully reflect the aging condition of the power supply under different running environment, this paper uses different charge and discharge strategies based on different temperatures and voltages to perform a steady-state cycle life test and Hybrid Pulse Power Characteristic test on the supercapacitors to make the measured data more real and effective.
○About Publishing
1.EI
All papers, both invited and contributed, will be reviewed by two or three experts from the committees. After a careful reviewing process, all accepted papers of ICMTIM 2022 will be published in Conference Proceedings and will be submitted to EI Compendex, Scopus for indexing.
ICMTIM 2021 has been held successfully in Hangzhou, China on Aug. 13-15, 2021. Accepted papers has been published in ICMTIM 2021 IOP conference proceedings, which has been indexed by Ei Compendex and Scopus already.
ICMTIM 2020 has been held successfully in Xi'an, China on Aug. 28-30, 2020. Accepted papers has been published in ICMTIM 2020 IOP conference proceedings, which has been indexed by Ei Compendex and Scopus already.
2.SCI journal（Submission with notes of conference acronyms will enjoy priority in review and acceptance.）
Journal1: Journal of Electronic Imaging（ISSN：1017-9909；IF：0.945）
Journal2: Analog Integrated Circuits and Signal Processing（ISSN：0925-1030；IF：1.337）
Journal3: MATHEMATICAL PROBLEMS IN ENGINEERING（ISSN：1024-123X；IF：1.305）
* Submission should be in WORD（.doc）format only, and specified templates will be given after evaluation.
For more information about SCI papers and journals, please feel free to contact Editor Li（WeChat / Mobile phone): 18127812811
○Registration
| Item | Registration fee (By RMB) | Registration fee (By US Dollar) |
| Regular Registration for Paper | 3200RMB per page (4-6 pages) | 500 USD per paper (4-6 pages) |
| Manuscript numbers ≥ 3 | 2900RMB per page (4-6 pages) | 450 USD per paper (4-6pages) |
| Extra Pages (Begin at Page 7) | 300RMB per extra page | 50 USD per extra page |
| Attendees without Submission | 1200RMB per person | 180 USD per person |
| Attendees without Submission (Groups） | 1000RMB per group（≥ 3 person） | 150 USD per group（≥ 3 person） |
○Contact Us
Conference Secretary: Yasmin
E-mail: icmar2022@163.com
Tel: +86-13502443374 (Wechat)
QQ: 779188085
The Secretary office of ICMTIM 2022 will collect contributions and finish daily organizing work. All paper review process will be completed by Program Committee Member and invited experts.If you have any question or inquiries, please feel free to contact us.
