An Investigation of Energy Consumption in Fused Deposition Modelling using ESP32 IoT Monitoring System

Sakinah Zakaria; Paul Mativenga; E. A.R.Engku Ariff

doi:10.1016/j.procir.2023.02.045

An Investigation of Energy Consumption in Fused Deposition Modelling using ESP32 IoT Monitoring System

Sakinah Zakaria^*, Paul Mativenga, E. A.R.Engku Ariff

^*Corresponding author for this work

Research output: Contribution to journal › Conference article › peer-review

Abstract

Energy price and availability have become an urgent global challenge. Manufacturers need to model and reduce energy consumption and cost. To enable energy smart manufacturing using Industry 4.0, there is a need to develop a framework for energy monitoring using Internet of Things (IoT). In this paper, an energy-monitoring device has been developed using ESP32 as IoT system to monitor energy consumption on the fused deposition modelling machine. The energy consumed is measured and categorised according to its manufacturing process states. This paper proposes an IoT system capable of simultaneously measuring the energy consumed in the machine's components during the printing process into idle state, warm-up state, printing state and cool-down state. This platform technology can be a basis for simultaneous monitoring of multiple machines in a production system.

Original language	English
Pages (from-to)	263-268
Number of pages	6
Journal	Procedia CIRP
Volume	116
DOIs	https://doi.org/10.1016/j.procir.2023.02.045
Publication status	Published - 2023
Event	30th CIRP Life Cycle Engineering Conference, LCE 2023 - New Brunswick, United States Duration: 15 May 2023 → 17 May 2023

Keywords

energy monitoring
fused deposition modelling
Industry 4.0
Internet of Things

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.procir.2023.02.045

Cite this

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title = "An Investigation of Energy Consumption in Fused Deposition Modelling using ESP32 IoT Monitoring System",

abstract = "Energy price and availability have become an urgent global challenge. Manufacturers need to model and reduce energy consumption and cost. To enable energy smart manufacturing using Industry 4.0, there is a need to develop a framework for energy monitoring using Internet of Things (IoT). In this paper, an energy-monitoring device has been developed using ESP32 as IoT system to monitor energy consumption on the fused deposition modelling machine. The energy consumed is measured and categorised according to its manufacturing process states. This paper proposes an IoT system capable of simultaneously measuring the energy consumed in the machine's components during the printing process into idle state, warm-up state, printing state and cool-down state. This platform technology can be a basis for simultaneous monitoring of multiple machines in a production system.",

keywords = "energy monitoring, fused deposition modelling, Industry 4.0, Internet of Things",

author = "Sakinah Zakaria and Paul Mativenga and Ariff, {E. A.R.Engku}",

note = "Funding Information: This work was partially supported by the Engineering and Physical Sciences Research Council (EPSRC) funded project, EP/S018190/1 -Research on the theory and key technology of laser processing and system optimisation for low carbon manufacturing (LASER-BEAMS). Publisher Copyright: {\textcopyright} 2023 The Authors. Published by Elsevier B.V.; 30th CIRP Life Cycle Engineering Conference, LCE 2023 ; Conference date: 15-05-2023 Through 17-05-2023",

year = "2023",

doi = "10.1016/j.procir.2023.02.045",

language = "English",

volume = "116",

pages = "263--268",

journal = "Procedia CIRP",

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T1 - An Investigation of Energy Consumption in Fused Deposition Modelling using ESP32 IoT Monitoring System

AU - Zakaria, Sakinah

AU - Mativenga, Paul

AU - Ariff, E. A.R.Engku

N1 - Funding Information: This work was partially supported by the Engineering and Physical Sciences Research Council (EPSRC) funded project, EP/S018190/1 -Research on the theory and key technology of laser processing and system optimisation for low carbon manufacturing (LASER-BEAMS). Publisher Copyright: © 2023 The Authors. Published by Elsevier B.V.

PY - 2023

Y1 - 2023

N2 - Energy price and availability have become an urgent global challenge. Manufacturers need to model and reduce energy consumption and cost. To enable energy smart manufacturing using Industry 4.0, there is a need to develop a framework for energy monitoring using Internet of Things (IoT). In this paper, an energy-monitoring device has been developed using ESP32 as IoT system to monitor energy consumption on the fused deposition modelling machine. The energy consumed is measured and categorised according to its manufacturing process states. This paper proposes an IoT system capable of simultaneously measuring the energy consumed in the machine's components during the printing process into idle state, warm-up state, printing state and cool-down state. This platform technology can be a basis for simultaneous monitoring of multiple machines in a production system.

AB - Energy price and availability have become an urgent global challenge. Manufacturers need to model and reduce energy consumption and cost. To enable energy smart manufacturing using Industry 4.0, there is a need to develop a framework for energy monitoring using Internet of Things (IoT). In this paper, an energy-monitoring device has been developed using ESP32 as IoT system to monitor energy consumption on the fused deposition modelling machine. The energy consumed is measured and categorised according to its manufacturing process states. This paper proposes an IoT system capable of simultaneously measuring the energy consumed in the machine's components during the printing process into idle state, warm-up state, printing state and cool-down state. This platform technology can be a basis for simultaneous monitoring of multiple machines in a production system.

KW - energy monitoring

KW - fused deposition modelling

KW - Industry 4.0

KW - Internet of Things

UR - http://www.scopus.com/inward/record.url?scp=85164274784&partnerID=8YFLogxK

U2 - 10.1016/j.procir.2023.02.045

DO - 10.1016/j.procir.2023.02.045

M3 - Conference article

AN - SCOPUS:85164274784

SN - 2212-8271

VL - 116

SP - 263

EP - 268

JO - Procedia CIRP

JF - Procedia CIRP

T2 - 30th CIRP Life Cycle Engineering Conference, LCE 2023

Y2 - 15 May 2023 through 17 May 2023

ER -

An Investigation of Energy Consumption in Fused Deposition Modelling using ESP32 IoT Monitoring System

Abstract

Keywords

UN SDGs

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