2024 7th International Conference on Mechanical Manufacturing and Industrial Engineering (MMIE 2024) will be held at Hosei University, Tokyo, Japan during August 21-24, 2024. The theme of MMIE 2024 is "Advancements in Precision Engineering: Innovation and the Future".
This them signifies the focus on the progress and developments of manufacturing engineering, precision engineering. It involves the design, manufacturing, measurement of highly accurate, intricate components, and optical application, etc.
The conference program includes keynote speeches, panel discussions, paper presentations, and poster sessions, covering a wide range of topics. The meeting will provide an opportunity to highlight recent developments and to identify emerging and future areas of growth in this exciting field.
The MMIE 2024 is the premier interdisciplinary platform for the presentation of new advances and research results in the fields of Mechanical Manufacturing and Industrial Engineering. The conference will bring together leading academic scientists, researchers and scholars in the domain of interest from around the world. Topics of interest for submission include, but are not limited to:
- Track 1: Precision Engineering & Technology
- Precision Devices
- Precision Manufacturing Machines and Technologies
- Precision Positioning
- Precision Theory & Uncertainty Evaluation
- Optical Metrology for Precision Engineering
- Optical Signal Processing
- Optical Super Resolution Measurement for Nano/micro Devices
- Optoelectronic System and Optical Instruments Design
- 3D Modeling and Visualization/Shape and Structure Analysis
- Adaptive Process Planning and Quality Control in Precision Engineering
- Advanced 3 Dimensional Digital Processing
- Advanced Cutting Rechnologies
- Advanced Die/molding and Polymer Processing
- Advanced Image Processing and Applications
- Advanced Machine Tools and Elements
- High Precision Machining
- High Speed and Precision Machining
- Human-robot Collaboration and Brain RRobotics in Precision Assembly
- Image Acquisition
- Machine Vision and Image Processing
- Machining Control
- Mechano Photonics Engineering and Optical Applications
- Micro and Nano Technologies
- Micro Fabrications for Functional Surfaces
- Micro Systems and Machine Elements
- Micro/Nano Coordinate Measurement and Instrumentation
- Micro/Nano Machining and Figurings
- Modern Optics and Instruments for Precision Measurement
- Multidimensional Signal Processing
- Computational Imaging
- Controls and Mechatronics
- Cyber-physical Production Systems
- Deformation and Strain Measurement
- Digital Manufacturing
- Dimensional Measurement and Instrumentation
- Energy Beam Processing
- Forming
- Green Manufacturing
- NDT and Instrumentation
- Non-traditional Machining and Additive Manufacturing
- Non-Traditional Manufacturing Processes
- Signal Identification
- Surface Measurement and Characterization
- Time-Frequency Signal Analysis
- Ultra/nano-precision Manufacturing
- Track 2: Mechanical and Manufacturing Engineering
- Mechanical and Materials Engineering
- Aerospace Systems and Technology
- Applied Mechanics and Design
- Biomechanics
- Computational Fluid Dynamics
- Aerodynamics
- Alternative Energy
- Automation
- Composite Materials
- Computer Aided Engineering Design
- Concurrent Engineering
- Design and Manufacturing
- Energy Conversion System
- Energy and Thermofluids
- Energy Management
- Finite Element Analysis
- Fluid Dynamics
- Fuels and Combustion
- Green Manufacturing
- Heat and Mass Transfer
- Instrumentation and Control
- Machinery Dynamics
- Micro-and Nano Manufacturing
- Solid and Fracture Mechanics
- Solid Mechanics
- Tribology and Reverse Engineering
- Track 3: Industrial Engineering
- Advanced Product Design and Development
- Automation Control
- Control Engineering
- Decision Analysis
- Decision Analysis/Decision Theory
- Dynamical Control Systems
- Industrial Design
- Human Factors Engineering
- Information Processing and Engineering
- Intelligent Systems
- Manufacturing Systems
- Renewable and Non-Renewable Energies
- CAD/CAM/CAE
- Industrial Tribology
- Operations Research
- Machine Learning
Submission Methods
1. Full Paper (Presentation and Publication)
Accepted full paper will be invited to give the oral presentation at the conference and be published in the conference proceeding.
2. Abstract (Presentation only)
Accepted abstract will be invited to give the oral presentation or poster presentation at the conference, the presentation will not be published.
