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Journal of Manufacturing and Materials Processing
Article . 2021 . Peer-reviewed
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Optimization of Laser Engraving of Acrylic Plastics from the Perspective of Energy Consumption, CO2 Emission and Removal Rate

Authors: Mohammad Muhshin Aziz Khan; Shanta Saha; Luca Romoli; Mehedi Hasan Kibria;

Optimization of Laser Engraving of Acrylic Plastics from the Perspective of Energy Consumption, CO2 Emission and Removal Rate

Abstract

This paper focuses on optimizing the laser engraving of acrylic plastics to reduce energy consumption and CO2 gas emissions, without hindering the production and material removal rates. In this context, the role of laser engraving parameters on energy consumption, CO2 gas emissions, production rate, and material removal rate was first experimentally investigated. Grey–Taguchi approach was then used to identify an optimal set of process parameters meeting the goal. The scan gap was the most significant factor affecting energy consumption, CO2 gas emissions, and production rate, whereas, compared to other factors, its impact on material removal rate (MRR) was relatively lower. Moreover, the defocal length had a negligible impact on the response variables taken into consideration. With this laser-process-material combination, to achieve the desired goal, the laser must be focused on the surface, and laser power, scanning speed, and scan gap must be set at 44 W, 300 mm/s, and 0.065 mm, respectively.

Country
Italy
Keywords

Optimization, laser engraving, Polymethylmethacrylate, Production capacity. Manufacturing capacity, 2, Industrial and Manufacturing Engineering, CO<sub>2</sub> emissions, Laser engraving, energy consumption, emission, 660, Mechanical Engineering, polymethylmethacrylate, T58.7-58.8, 620, CO, Energy consumption, Mechanics of Materials, CO; 2; emissions; Energy consumption; Laser engraving; Optimization; Polymethylmethacrylate, optimization

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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