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Hybrid Lathe and Drilling Machine Integrated with IoT-Based for Smart Manufacturing
Subject area: Science,Engineering and Technology · Area of research: Engineering
DOI: https://doi.org/10.64388/IREV9I10-1716103
Abstract
The rapid advancement of manufacturing technologies has exposed the limitations of conventional machining systems such as lathe and drilling machines, which remain essential for operations including turning, facing, threading, boring, and drilling. Despite their widespread use, these machines typically operate as standalone systems with minimal automation and lack real- time monitoring capabilities. This dependence on manual supervision often results in reduced productivity, increased downtime, inconsistent product quality, and unexpected machine failures. With the emergence of Industry 4.0, the integration of the Internet of Things (IoT) has enabled the development of intelligent manufacturing systems capable of real-time data acquisition and analysis. Critical parameters such as temperature, vibration, rotational speed, and load conditions can be continuously monitored, enabling predictive maintenance and enhanced operational efficiency. In addition, small and medium-scale industries face challenges related to high capital investment and limited workspace due to the use of separate machines for different operations. To address these challenges, this paper presents the design and development of a hybrid lathe and drilling machine integrated with IoT-based sensors. The proposed system combines multiple machining operations into a single unit while enabling real- time monitoring through embedded systems and cloud-based platforms. The integration of mechanical systems with digital technologies offers a cost-effective, space-efficient, and scalable solution, contributing to the advancement of smart manufacturing practices.
References
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How to cite this paper
@article{1716103,
author = {Atharv Javheri, Yadunath Janjalkar, Vidhi Pawar, Purushottam Desai, Prof. S. S. Sathe},
title = {Hybrid Lathe and Drilling Machine Integrated with IoT-Based for Smart Manufacturing},
journal = {Iconic Research And Engineering Journals},
year = {2026},
volume = {9},
number = {10},
pages = {376-386},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1716103.pdf},
abstract = {The rapid advancement of manufacturing technologies has exposed the limitations of conventional machining systems such as lathe and drilling machines, which remain essential for operations including turning, facing, threading, boring, and drilling. Despite their widespread use, these machines typically operate as standalone systems with minimal automation and lack real- time monitoring capabilities. This dependence on manual supervision often results in reduced productivity, increased downtime, inconsistent product quality, and unexpected machine failures. With the emergence of Industry 4.0, the integration of the Internet of Things (IoT) has enabled the development of intelligent manufacturing systems capable of real-time data acquisition and analysis. Critical parameters such as temperature, vibration, rotational speed, and load conditions can be continuously monitored, enabling predictive maintenance and enhanced operational efficiency. In addition, small and medium-scale industries face challenges related to high capital investment and limited workspace due to the use of separate machines for different operations. To address these challenges, this paper presents the design and development of a hybrid lathe and drilling machine integrated with IoT-based sensors. The proposed system combines multiple machining operations into a single unit while enabling real- time monitoring through embedded systems and cloud-based platforms. The integration of mechanical systems with digital technologies offers a cost-effective, space-efficient, and scalable solution, contributing to the advancement of smart manufacturing practices.},
month = {April},
doi = {https://doi.org/10.64388/IREV9I10-1716103}
}