Complex evaluation process on the sugarcane juice harvesting by using preparation index related to the mechanical properties: A key foundation for modeling and improved milling efficiency

IF 3.5 2区 农林科学 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
Ari Wibowo , Gesang Nugroho , Muhammad Akhsin Muflikhun
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Abstract

The mechanical characteristics of prepared sugarcane are essential for improving the milling process, as they contribute significantly to maximizing juice extraction efficiency while reducing the energy required. This research explored how the Preparation Index (PI) affects the mechanical response of prepared sugarcane using various tests, including uniaxial confined compression, loading-unloading compression, direct shear, and juice extraction efficiency evaluations. Experimental data reveal that the optimal PI range—92.14–95.96 %—achieves the highest juice extraction efficiency of 82 %, while maintaining mechanical stability. Bulk density increases from 460.48 kg/m³ at PI 85.95 % to 482.68 kg/m³ at PI 95.96 %, indicating improved fiber compaction. Poisson’s ratio ranges from 0.091 to 0.120, with higher PI values associated with reduced lateral deformation. Young’s modulus shows a strong correlation with PI, rising significantly from 41.62 MPa to 163.18 MPa as PI increases, especially under greater unloading forces, reflecting enhanced fiber arrangement and stiffness. Direct shear tests indicate an increase in cohesive force from 12.08 kPa to 29.15 kPa with higher PI, while the internal friction angle decreases from 30.40° to 14.43°, suggesting reduced material flowability. Juice extraction efficiency tests confirm that higher PI facilitates improved fiber breakdown, leading to greater juice release. These findings highlight PI as a key parameter in balancing juice recovery, mechanical integrity, and energy demands during sugarcane milling. The results support the potential for real-time PI monitoring and control systems that dynamically adjust preparation processes to enhance operational efficiency and reduce costs, making PI a critical metric for improving industrial sugarcane processing.
利用与机械性能相关的制备指标对甘蔗榨汁收获过程进行复杂评价:建模和提高榨汁效率的关键基础
制备的甘蔗的机械特性对于改进碾磨过程是必不可少的,因为它们显著地有助于最大限度地提高果汁提取效率,同时减少所需的能量。本研究通过单轴约束压缩、加载-卸载压缩、直接剪切和榨汁效率评价等试验,探讨了制备指数(PI)对制备甘蔗力学响应的影响。实验结果表明,最佳PI范围为92.14 ~ 95.96 %,在保持机械稳定性的前提下,提取效率最高可达82 %。在PI 85.95 %时,堆积密度从460.48 kg/m³增加到PI 95.96 %时的482.68 kg/m³,表明纤维压实性得到改善。泊松比范围为0.091 ~ 0.120,PI值越高,侧向变形越小。杨氏模量与PI有较强的相关性,随着PI的增加,杨氏模量从41.62 MPa显著增加到163.18 MPa,特别是在卸载力较大的情况下,这反映了纤维排列和刚度的增强。直剪试验结果表明,黏结力从12.08 kPa增加到29.15 kPa, PI越高,内摩擦角从30.40°减小到14.43°,材料流动性降低。果汁提取效率测试证实,较高的PI有助于改善纤维分解,从而导致更多的果汁释放。这些发现强调了PI是平衡甘蔗碾磨过程中果汁回收率、机械完整性和能量需求的关键参数。研究结果支持实时PI监测和控制系统的潜力,该系统可以动态调整制备过程,以提高操作效率并降低成本,使PI成为改善工业甘蔗加工的关键指标。
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来源期刊
Food and Bioproducts Processing
Food and Bioproducts Processing 工程技术-工程:化工
CiteScore
9.70
自引率
4.30%
发文量
115
审稿时长
24 days
期刊介绍: Official Journal of the European Federation of Chemical Engineering: Part C FBP aims to be the principal international journal for publication of high quality, original papers in the branches of engineering and science dedicated to the safe processing of biological products. It is the only journal to exploit the synergy between biotechnology, bioprocessing and food engineering. Papers showing how research results can be used in engineering design, and accounts of experimental or theoretical research work bringing new perspectives to established principles, highlighting unsolved problems or indicating directions for future research, are particularly welcome. Contributions that deal with new developments in equipment or processes and that can be given quantitative expression are encouraged. The journal is especially interested in papers that extend the boundaries of food and bioproducts processing. The journal has a strong emphasis on the interface between engineering and food or bioproducts. Papers that are not likely to be published are those: • Primarily concerned with food formulation • That use experimental design techniques to obtain response surfaces but gain little insight from them • That are empirical and ignore established mechanistic models, e.g., empirical drying curves • That are primarily concerned about sensory evaluation and colour • Concern the extraction, encapsulation and/or antioxidant activity of a specific biological material without providing insight that could be applied to a similar but different material, • Containing only chemical analyses of biological materials.
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