A Review on Recent Trends and Applications of IoT in Additive Manufacturing

The Internet of Things (IoT) is a new way of communicating that is changing the way things are monitored and controlled from a distance. Gradually, companies want to digitalize their production processes and implement control and monitoring systems on the shop floor. On the basis of the Industry 4.0...

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Main Authors: Bharat Kumar Chigilipalli, Teja Karri, Sathish Naidu Chetti, Girish Bhiogade, Ravi Kumar Kottala, Muralimohan Cheepu
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Applied System Innovation
Subjects:
Online Access:https://www.mdpi.com/2571-5577/6/2/50
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author Bharat Kumar Chigilipalli
Teja Karri
Sathish Naidu Chetti
Girish Bhiogade
Ravi Kumar Kottala
Muralimohan Cheepu
author_facet Bharat Kumar Chigilipalli
Teja Karri
Sathish Naidu Chetti
Girish Bhiogade
Ravi Kumar Kottala
Muralimohan Cheepu
author_sort Bharat Kumar Chigilipalli
collection DOAJ
description The Internet of Things (IoT) is a new way of communicating that is changing the way things are monitored and controlled from a distance. Gradually, companies want to digitalize their production processes and implement control and monitoring systems on the shop floor. On the basis of the Industry 4.0 concept, internet features and database services have been incorporated into processes in order to reinvent manufacturing. This study proposes a proof-of-concept system for the management of additive manufacturing (AM) machines, where an internet integration of beacon technology in the manufacturing environment enables the rapid and intuitive interchange of production data retrieved from machines with mobile devices in various applications. Even though AM technologies can be used to customize the final product, they cannot be used to make a lot of 3D-printed jobs at once for commercial usage. Therefore, this research-based study aims to understand IoT technologies to improve the understanding and reliability of AM processes and 3D print smart materials in large quantities for manufacturers around the world. This study demonstrates the significance of the successful use of internet-based technologies in AM by examining its practical consequences in various fields. This paper gives an overview of IoT-based remote monitoring and control systems that could solve problems in AM, particularly in digital twin, human augmentation (HA), 3D bioprinters, 3D scanners, input parameters optimization, and electronics fields. IoT in AM makes production processes more efficient, reduces waste, and meets customer needs.
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spelling doaj.art-47b5a3e8fea543df92bed84f7f9a72292023-11-17T18:16:14ZengMDPI AGApplied System Innovation2571-55772023-04-01625010.3390/asi6020050A Review on Recent Trends and Applications of IoT in Additive ManufacturingBharat Kumar Chigilipalli0Teja Karri1Sathish Naidu Chetti2Girish Bhiogade3Ravi Kumar Kottala4Muralimohan Cheepu5Department of Mechanical Engineering, Vignan’s Institute of Information Technology (A), Visakhapatnam 530049, IndiaDepartment of Mechanical Engineering, Vignan’s Institute of Information Technology (A), Visakhapatnam 530049, IndiaDepartment of Mechanical Engineering, Vignan’s Institute of Information Technology (A), Visakhapatnam 530049, IndiaDepartment of Mechanical Engineering, Vignan’s Institute of Information Technology (A), Visakhapatnam 530049, IndiaDepartment of Mechanical Engineering, National Institute of Technology Tiruchirappalli, Tiruchirappalli 620015, IndiaDepartment of Materials System Engineering, Pukyong National University, Busan 48547, Republic of KoreaThe Internet of Things (IoT) is a new way of communicating that is changing the way things are monitored and controlled from a distance. Gradually, companies want to digitalize their production processes and implement control and monitoring systems on the shop floor. On the basis of the Industry 4.0 concept, internet features and database services have been incorporated into processes in order to reinvent manufacturing. This study proposes a proof-of-concept system for the management of additive manufacturing (AM) machines, where an internet integration of beacon technology in the manufacturing environment enables the rapid and intuitive interchange of production data retrieved from machines with mobile devices in various applications. Even though AM technologies can be used to customize the final product, they cannot be used to make a lot of 3D-printed jobs at once for commercial usage. Therefore, this research-based study aims to understand IoT technologies to improve the understanding and reliability of AM processes and 3D print smart materials in large quantities for manufacturers around the world. This study demonstrates the significance of the successful use of internet-based technologies in AM by examining its practical consequences in various fields. This paper gives an overview of IoT-based remote monitoring and control systems that could solve problems in AM, particularly in digital twin, human augmentation (HA), 3D bioprinters, 3D scanners, input parameters optimization, and electronics fields. IoT in AM makes production processes more efficient, reduces waste, and meets customer needs.https://www.mdpi.com/2571-5577/6/2/50additive manufacturingIoTwelding
spellingShingle Bharat Kumar Chigilipalli
Teja Karri
Sathish Naidu Chetti
Girish Bhiogade
Ravi Kumar Kottala
Muralimohan Cheepu
A Review on Recent Trends and Applications of IoT in Additive Manufacturing
Applied System Innovation
additive manufacturing
IoT
welding
title A Review on Recent Trends and Applications of IoT in Additive Manufacturing
title_full A Review on Recent Trends and Applications of IoT in Additive Manufacturing
title_fullStr A Review on Recent Trends and Applications of IoT in Additive Manufacturing
title_full_unstemmed A Review on Recent Trends and Applications of IoT in Additive Manufacturing
title_short A Review on Recent Trends and Applications of IoT in Additive Manufacturing
title_sort review on recent trends and applications of iot in additive manufacturing
topic additive manufacturing
IoT
welding
url https://www.mdpi.com/2571-5577/6/2/50
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