About Journal
International Journal of Machine Systems and Manufacturing Technology International Journal of Machine Systems and Manufacturing Technology is a peer-reviewed hybrid open-access journal launched in 2023 that intends to provide its readers with swift and concrete information on the advancements in the field of machine systems. Editors recommend high-quality papers that are original and comprehensive and those that focus on the application of the work done. The journal also encourages review articles that cover all aspects of machine systems and manufacturing technology and that can have an immediate impact on ongoing research.
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Journal Information
| Title: |
International Journal of Machine Systems and Manufacturing Technology |
Abbreviation: |
IJMSMT |
| Issues Per Year: |
2 Issues |
Starting Year: |
2023 |
| E-ISSN: |
3108-1266 |
Publisher: |
STM Journals, An imprint of Consortium e-Learning Network Pvt. Ltd. |
| DOI: |
10.37591/IJMSMT |
Subject: |
Applied Mechanics |
| Language: |
English |
Publication Format: |
Hybrid Open Access |
| Copyright Policy: |
CC BY-NC-ND |
Type: |
Peer-reviewed Journal (Refereed Journal) |
Indexing & Metrics
Indexing: Google Scholar, Scientific Literature (SCILIT)
Focus & Scope
Advanced Mechanical Engineering & Manufacturing
An integrated framework for precision engineering—bridging gear design and vibration analysis with additive manufacturing, nanomaterials, and intelligent thermal systems.
Power Transmission
Designing Spur gears and constant mesh gearboxes using DMLS and Maraging steel. Optimizing weight reduction through gear hole patterns in Solidworks and Ansys.
Mechanical Components
Applying Genetic Algorithms for bearing selection and shaft optimization. Managing lateral vibrations and dynamic coupling in ball screw feed drives.
Device Fabrication
Large-scale synthesis of metallic nanoparticles, Quantum dots, and CNT hybrids. Engineering supercapacitors and Li-ion batteries via 3D printing.
Vibration & Tribology
Modeling ground vibration from tunnel blasting using electronic detonators. Conducting CFD and thermal analysis for surface resistance and conductivity.
Solar & Thermal Systems
Integrating Photovoltaic systems with self-powered water meters (TENG). Modeling solar heating, cooling, and scale prevention through predictive context modeling.
Computation & AI
Using Artificial Neural Networks for laser cladding and polymer fusion. Applying Homogenization Design (HDM) for negative thermal expansion (NCTE).
