A generic mathematical model for gate-to-gate carbon emissions in laser materials processing

IF 1.9 3区 工程技术 Q3 ENGINEERING, MANUFACTURING
Muhammad Tajuddin Reduan, P. Mativenga, Lin Li, J. Ouyang, N. Mirhosseini, Zhu Liu
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Abstract

The manufacturing industry needs to reduce carbon emissions in support of the net-zero agenda. Carbon emissions are classified into three operational groups based on the framework of the Greenhouse Gas (GHG) Protocol. Although extensive research has been undertaken, this has focused on energy consumption, which contributes to Scope 2 emissions only. In order to address a knowledge gap relating to the total environmental burden of laser material processing, the paper develops a generic mathematical model covering all three operational groups of emissions in relation to the gate-to-gate scope of life cycle assessment. The model was applied to selective laser removal of coating to evaluate the environmental burden and to understand which impact factor contributes the highest emissions. Scope 2 emissions had the highest contribution to the environmental burden in the laser removal of coatings from substrates compared to Scope 1 and 3. The mathematical model provides a simple, accessible and less complex tool for evaluating carbon emissions in laser processing. This supports the net-zero emission agenda.
激光材料加工过程中门到门碳排放的通用数学模型
制造业需要减少碳排放,以支持净零排放议程。根据《温室气体(GHG)议定书》的框架,碳排放被分为三个业务类别。虽然已经开展了广泛的研究,但研究的重点都放在能源消耗上,而能源消耗只造成范围 2 的排放。为了弥补与激光材料加工的总体环境负担有关的知识空白,本文开发了一个通用数学模型,涵盖了与生命周期评估的 "门到门 "范围有关的所有三个操作组的排放。该模型应用于选择性激光去除涂层,以评估环境负担,并了解哪个影响因素的排放量最高。与范围 1 和 3 相比,范围 2 排放对激光去除基底涂层的环境负担影响最大。该数学模型为评估激光加工过程中的碳排放量提供了一个简单、易用且不太复杂的工具。这为净零排放议程提供了支持。
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来源期刊
CiteScore
5.10
自引率
30.80%
发文量
167
审稿时长
5.1 months
期刊介绍: Manufacturing industries throughout the world are changing very rapidly. New concepts and methods are being developed and exploited to enable efficient and effective manufacturing. Existing manufacturing processes are being improved to meet the requirements of lean and agile manufacturing. The aim of the Journal of Engineering Manufacture is to provide a focus for these developments in engineering manufacture by publishing original papers and review papers covering technological and scientific research, developments and management implementation in manufacturing. This journal is also peer reviewed. Contributions are welcomed in the broad areas of manufacturing processes, manufacturing technology and factory automation, digital manufacturing, design and manufacturing systems including management relevant to engineering manufacture. Of particular interest at the present time would be papers concerned with digital manufacturing, metrology enabled manufacturing, smart factory, additive manufacturing and composites as well as specialist manufacturing fields like nanotechnology, sustainable & clean manufacturing and bio-manufacturing. Articles may be Research Papers, Reviews, Technical Notes, or Short Communications.
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