FPGA-Based Sensors for Distributed Digital Manufacturing Systems: A State-of-the-Art Review
The combination of distributed digital factories (D<sup>2</sup>Fs) with sustainable practices has been proposed as a revolutionary technique in modern manufacturing. This review paper explores the convergence of D<sup>2</sup>F with innovative sensor technology, concentrating...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-12-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/24/23/7709 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849220388547985408 |
|---|---|
| author | Laraib Khan Sriram Praneeth Isanaka Frank Liou |
| author_facet | Laraib Khan Sriram Praneeth Isanaka Frank Liou |
| author_sort | Laraib Khan |
| collection | DOAJ |
| description | The combination of distributed digital factories (D<sup>2</sup>Fs) with sustainable practices has been proposed as a revolutionary technique in modern manufacturing. This review paper explores the convergence of D<sup>2</sup>F with innovative sensor technology, concentrating on the role of Field Programmable Gate Arrays (FPGAs) in promoting this paradigm. A D<sup>2</sup>F is defined as an integrated framework where digital twins (DTs), sensors, laser additive manufacturing (laser-AM), and subtractive manufacturing (SM) work in synchronization. Here, DTs serve as a virtual replica of physical machines, allowing accurate monitoring and control of a given manufacturing process. These DTs are supplemented by sensors, providing near-real-time data to assure the effectiveness of the manufacturing processes. FPGAs, identified for their re-programmability, reduced power usage, and enhanced processing compared to traditional processors, are increasingly being used to develop near-real-time monitoring systems within manufacturing networks. This review paper identifies the recent expansions in FPGA-based sensors and their exploration within the D<sup>2</sup>Fs operations. The primary topics incorporate the deployment of eco-efficient data management and near-real-time monitoring, targeted at lowering waste and optimizing resources. The review paper also identifies the future research directions in this field. By incorporating advanced sensors, DTs, laser-AM, and SM processes, this review emphasizes a path toward more sustainable and resilient D<sup>2</sup>Fs operations. |
| format | Article |
| id | doaj-art-89fc0001c0fa4b8ea4185cd58272a6e0 |
| institution | Kabale University |
| issn | 1424-8220 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj-art-89fc0001c0fa4b8ea4185cd58272a6e02024-12-13T16:32:31ZengMDPI AGSensors1424-82202024-12-012423770910.3390/s24237709FPGA-Based Sensors for Distributed Digital Manufacturing Systems: A State-of-the-Art ReviewLaraib Khan0Sriram Praneeth Isanaka1Frank Liou2Department of Mechanical and Aerospace Engineering, Missouri University of Science and Technology, Rolla, MO 65409, USADepartment of Mechanical and Aerospace Engineering, Missouri University of Science and Technology, Rolla, MO 65409, USADepartment of Mechanical and Aerospace Engineering, Missouri University of Science and Technology, Rolla, MO 65409, USAThe combination of distributed digital factories (D<sup>2</sup>Fs) with sustainable practices has been proposed as a revolutionary technique in modern manufacturing. This review paper explores the convergence of D<sup>2</sup>F with innovative sensor technology, concentrating on the role of Field Programmable Gate Arrays (FPGAs) in promoting this paradigm. A D<sup>2</sup>F is defined as an integrated framework where digital twins (DTs), sensors, laser additive manufacturing (laser-AM), and subtractive manufacturing (SM) work in synchronization. Here, DTs serve as a virtual replica of physical machines, allowing accurate monitoring and control of a given manufacturing process. These DTs are supplemented by sensors, providing near-real-time data to assure the effectiveness of the manufacturing processes. FPGAs, identified for their re-programmability, reduced power usage, and enhanced processing compared to traditional processors, are increasingly being used to develop near-real-time monitoring systems within manufacturing networks. This review paper identifies the recent expansions in FPGA-based sensors and their exploration within the D<sup>2</sup>Fs operations. The primary topics incorporate the deployment of eco-efficient data management and near-real-time monitoring, targeted at lowering waste and optimizing resources. The review paper also identifies the future research directions in this field. By incorporating advanced sensors, DTs, laser-AM, and SM processes, this review emphasizes a path toward more sustainable and resilient D<sup>2</sup>Fs operations.https://www.mdpi.com/1424-8220/24/23/7709distributed digital factoriesadditive manufacturingtraditional manufacturingFPGA sensortraditional sensorssustainability |
| spellingShingle | Laraib Khan Sriram Praneeth Isanaka Frank Liou FPGA-Based Sensors for Distributed Digital Manufacturing Systems: A State-of-the-Art Review Sensors distributed digital factories additive manufacturing traditional manufacturing FPGA sensor traditional sensors sustainability |
| title | FPGA-Based Sensors for Distributed Digital Manufacturing Systems: A State-of-the-Art Review |
| title_full | FPGA-Based Sensors for Distributed Digital Manufacturing Systems: A State-of-the-Art Review |
| title_fullStr | FPGA-Based Sensors for Distributed Digital Manufacturing Systems: A State-of-the-Art Review |
| title_full_unstemmed | FPGA-Based Sensors for Distributed Digital Manufacturing Systems: A State-of-the-Art Review |
| title_short | FPGA-Based Sensors for Distributed Digital Manufacturing Systems: A State-of-the-Art Review |
| title_sort | fpga based sensors for distributed digital manufacturing systems a state of the art review |
| topic | distributed digital factories additive manufacturing traditional manufacturing FPGA sensor traditional sensors sustainability |
| url | https://www.mdpi.com/1424-8220/24/23/7709 |
| work_keys_str_mv | AT laraibkhan fpgabasedsensorsfordistributeddigitalmanufacturingsystemsastateoftheartreview AT srirampraneethisanaka fpgabasedsensorsfordistributeddigitalmanufacturingsystemsastateoftheartreview AT frankliou fpgabasedsensorsfordistributeddigitalmanufacturingsystemsastateoftheartreview |