基于物理信息数字化战略的连续制造过程灵活性评估:橡胶行业的案例研究

IF 7.6 Q1 ENERGY & FUELS
María Herrando , Ismael Viejo , Susana Calvo , Leticia A. Gracia , Salvador Izquierdo
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引用次数: 0

摘要

本研究开发了一种基于物理的数字化策略,从不同角度评估连续制造过程中潜在的灵活性。以汽车密封型材为例,选择了共挤压工艺。该工艺连续运行3-5天才能生产出一个密封型材,能耗相当大,受生产线启动时设置的工艺条件的影响。增加灵活性有助于建立一个更可持续、更节能的制造业。然而,由于工艺条件直接影响成品型材的最终质量和性能,因此在进行任何修改之前,必须根据密封型材的几何形状、不同的线速度和产品质量公差对其影响进行彻底分析。计算流体动力学(CFD)技术用于模拟共挤压过程,而有限元方法(FEM)用于模拟产品质量和温度的依赖关系。针对有限元模型和CFD模型建立了降阶模型(ROM),该模型能够评估最优工艺参数调整,以适应不同产品质量公差下线速度的变化。结果证明,线速度的变化可以为工业提供工艺灵活性(线速度变化±20%,总功率约为±30%)。此外,线路速度提高20%,二氧化碳总排放量减少5.5%,能源成本降低5.2%,这表明以更高的线路速度运行更节能。该策略还分析了基于产品质量公差和公用事业价格的潜在灵活性。结果表明,提高允许质量公差可以降低总体功耗,其中降低热功率的潜力最大。除了分析一条生产线的运行情况外,还可以通过充分安排不同电热功率比的多个剖面来实现灵活性。此外,也可以使用方便的重新设计型材,因为型材具有更薄的壁和更少的橡胶,允许更多的灵活性,尽管它们在挤出机中消耗更多的电力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Flexibility assessment in continuous manufacturing processes based on a physics-informed digitalisation strategy: A case study in the rubber industry
This study develops a physics-informed digitalisation strategy to assess potential flexibility from different perspectives in continuous manufacturing processes. As a case study, the co-extrusion process of sealing profiles for the automotive industry is chosen. This process operates continuously for 3–5 days to manufacture one sealing profile, consuming considerable energy, which is influenced by the process conditions set during the manufacturing line start-up. Increasing flexibility can contribute to a more sustainable and energy-efficient manufacturing industry. However, since process conditions directly affect the final quality and properties of the manufactured profile, any modifications must be preceded by a thorough analysis of their implications based on the sealing profile geometry, different line velocities and product quality tolerances. Computational Fluid Dynamics (CFD) techniques are used to model the co-extrusion process, while Finite Element Methods (FEM) are applied to model product quality and temperature dependencies. A Reduced Order Model (ROM) is developed for both FEM and CFD models, and the developed model enables the assessment of optimal process parameter adjustments to accommodate line velocity changes at different product quality tolerances. The results prove that the variation of the line velocity can provide process flexibility to the industry (around ± 30 % in total electrical power for ± 20 % variation in the line velocity). Besides, a 20 % increase in line velocity results in a 5.5 % reduction in total CO2 emissions and a 5.2 % decrease in energy costs, suggesting that operating at higher line velocities is more energy efficient. The proposed strategy also analyses the potential flexibility depending on the product quality tolerance and the utility prices. The results show that increasing the allowable quality tolerance reduces the overall power consumption, with the largest potential in thermal power reduction. Beyond the analysis of one manufacturing line in operation, flexibility can be achieved by adequately scheduling several profiles with different electrical-to-thermal power ratios. In addition, a convenient redesign of profiles can also be used, as profiles with thinner walls and less rubber allow more flexibility, although they consume more electricity in the extruder.
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来源期刊
CiteScore
8.80
自引率
3.20%
发文量
180
审稿时长
58 days
期刊介绍: Energy Conversion and Management: X is the open access extension of the reputable journal Energy Conversion and Management, serving as a platform for interdisciplinary research on a wide array of critical energy subjects. The journal is dedicated to publishing original contributions and in-depth technical review articles that present groundbreaking research on topics spanning energy generation, utilization, conversion, storage, transmission, conservation, management, and sustainability. The scope of Energy Conversion and Management: X encompasses various forms of energy, including mechanical, thermal, nuclear, chemical, electromagnetic, magnetic, and electric energy. It addresses all known energy resources, highlighting both conventional sources like fossil fuels and nuclear power, as well as renewable resources such as solar, biomass, hydro, wind, geothermal, and ocean energy.
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