基于作业的切削屑升级回收参数成本分析,以生产可持续添加剂搅拌摩擦沉积的原料

IF 4.2 Q2 ENGINEERING, MANUFACTURING
Sweta Baruah, Joshua Hoekstra, Tony Schmitz
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引用次数: 0

摘要

随着对供应链弹性和效率的日益重视,制造商越来越多地探索可持续的材料再利用策略。一种有前途的方法是将加工芯片升级为添加剂搅拌摩擦沉积(AFSD)的可用原料,这是一种固态增材制造工艺。AFSD已经展示了集成到混合制造工作流程中的潜力,提供了诸如减少材料浪费和增强工艺可持续性等优势。然而,为了使芯片升级回收生产AFSD原料可行,必须准确评估其生产成本,并将其与传统原料选择进行比较。由于升级回收过程及其相关变量的复杂性,估算这些成本带来了挑战。本文提出了一个成本建模框架,用于从加工芯片中生产升级棒,特别是作为AFSD原料。所提出的模型包含了关键的成本因素,如材料制备、压实和加工效率。通过一个案例研究,比较了升级回收原料与商用AFSD原料的成本,为AFSD应用芯片升级回收的经济可行性提供了见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An activity-based parametric cost analysis for upcycling machining chips to produce feedstock for sustainable additive friction stir deposition
With the growing emphasis on supply chain resilience and efficiency, manufacturers are increasingly exploring sustainable material reuse strategies. One promising approach is the upcycling of machining chips into usable feedstock for additive friction stir deposition (AFSD), a solid-state additive manufacturing process. AFSD has demonstrated potential for integrating into hybrid manufacturing workflows, offering advantages such as reduced material waste and enhanced process sustainability. However, for chip upcycling to produce AFSD feedstock to be viable, its production cost must be accurately assessed and compared to conventional feedstock options. Estimating these costs poses challenges due to the complexity of the upcycling process and its associated variables. This paper presents a cost modeling framework for the production of upcycled bars from machining chips, specifically as AFSD feedstock. The proposed model incorporates key cost factors such as material preparation, compaction, and processing efficiency. A case study is conducted to compare the cost of upcycled feedstock with commercially available AFSD feedstock, providing insights into the economic feasibility of chip upcycling for AFSD applications.
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来源期刊
Additive manufacturing letters
Additive manufacturing letters Materials Science (General), Industrial and Manufacturing Engineering, Mechanics of Materials
CiteScore
3.70
自引率
0.00%
发文量
0
审稿时长
37 days
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