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International Journal of Machine Systems and Manufacturing Technology

ijmsmt | E-ISSN: 3108-1266 | Peer-Reviewed | Hybrid Open Access

About the 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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International Journal of Machine Systems and Manufacturing Technology (IJMSMT) is a peer-reviewed hybrid open access journal launched in 2023 to promote advances in manufacturing

Journal Information

Title:
International Journal of Machine Systems and Manufacturing Technology
Abbreviation:
IJMSMT
Issues Per Year:
Publisher:
116314
DOI:
10.37591/IJMSMT
Starting Year:
Subject:
Language:
English
Publication Format:
Hybrid Open Access
Copyright Policy:
CC BY-NC-ND
Type:
Peer-reviewed Journal (Refereed Journal)
Address:

Editorial Board

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ijmsmt maintains an Editorial Board of practicing researchers from around the world, to ensure manuscripts are handled by editors who are experts in the field of study.

Editor in Chief

Editor

Dr. R.S. Jadoun, Professor

G. B. Pant University of Agriculture and Technology, Uttrakhand, India,

Email :

Latest Articles

Design and Development of a Smart Automated Packaging System for Poultry Drumsticks

The present work aims to design and implement an automated packaging system for poultry drumsticks that enhances operational efficiency, product quality, and adaptability.

Knotting Mechanism, Precise Weighing, Hygiene, Automation

Optimization of Surface Roughness and Material Removal Rate in Turning of Al-6061 Using Taguchi Methodology, Fuzzy Logic, and Measurement System Analysis

The optimization of machining parameters please a crucial role in improving product quality and productivity in manufacturing processes.

Turning process, Ra, optimization, MRR, Taguchi-Fuzzy hybrid approach, Measurement System Analysis (MSA)

Development and implementation of Solar-Thermoelectric Hybrid Energy Harvester

In today’s consumer-oriented and technology-driven market, researchers are increasingly emphasizing the need to harvest energy from ambient and renewable sources to support sustainable power generation and to minimize dependence on conventional energy resources such as batteries and fossil-fuel-based electricity.

DC-DC boost converter, generator system, TEG modules, thermocouple, STEG

IoT-Based Battery Health Monitoring for Electric Vehicles Using Machine Learning

With increasing utilization of the Electric Vehicles (EV)s in global scale, battery health management becomes a critical factor which has great impact on vehicle performance, safety and longevity.

Electric Vehicles, battery management systems, ESP32 microcontroller. Support Vector Regression, IoT–ML framework

AI-Powered Emotion Recognition in Dog

Understanding animal emotions is important for improving veterinary care, human animal interaction, and overall pet well-being.

Yolo, Object Detection, Deep Learning, Dog Emotion Detection, Computer Vision

Study on the Method of Calculation of the Additional Mass of Parachute

As is well known, the air drag experienced by a parachute when it is open is one of the important parameters that must be taken into account in studying the parachute opening process.

Aerodynamic decelerator, open process, arbitrary lagrangian euler method (ALEM), infinite mass, parachute rope

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