Effect of process parameters on the rheological properties of banana (Musa acuminata) fiber and optimization using response surface methodology

IF 4.8 Q1 AGRICULTURE, MULTIDISCIPLINARY Journal of Agriculture and Food Research Pub Date : 2024-07-27 DOI:10.1016/j.jafr.2024.101314
Shubham Pandey , R.K. Naik , Vinay Kumar Pandey , Shivangi Srivastava , Gulden Goksen , Shivam Pandey , Sarvesh Rustagi
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Abstract

The labor-intensive, time-consuming, and uneconomical nature of manually extracting banana (Musa acuminata) fibers from pseudo-stem sheaths has prompted the exploration of automation as a solution. This study focuses on automating the feeding process of banana pseudostem sheaths using a quick return mechanism, which is more effective than other approaches. A comprehensive study was conducted to assess the impact of key process parameters, namely the decorticator (480–540 rpm), roller speed (50–80 rpm), and clearance between rollers (2–4 mm), on the mechanical properties of the extracted banana fiber. The Response Surface Methodology (RSM) was employed for the experimental design and analysis of data, and the mechanical properties under investigation included the tensile strength, Young's modulus, and strain percentage of the banana fiber. The results revealed that the decorticator speed, roller speed, and clearance between rollers are significantly influenced by their mechanical properties. Herein, the optimal process parameter values are identified as follows: a decorticator speed of 510 rpm, roller speed of 65 rpm, and clearance of 3 mm between rollers. The mechanical characterization of the optimized banana fiber exhibited impressive properties, with an ultimate tensile strength of 679.48 MPa, Young's modulus of 25.47 GPa, and strain of 3 %. This study demonstrates that automation coupled with systematic parameter optimization can enhance the mechanical attributes of banana fibers. This research not only addresses the challenges of manual extraction, but also advances the understanding of how process parameters affect banana fiber quality, thereby facilitating the utilization of this natural fiber in various industrial applications.

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工艺参数对香蕉(Musa acuminata)纤维流变特性的影响以及利用响应面方法进行优化
人工从假茎鞘中提取香蕉(Musa acuminata)纤维耗费大量人力、时间,而且不经济,这促使人们探索自动化的解决方案。本研究的重点是利用快速回料机制实现香蕉假茎鞘喂料过程的自动化,这比其他方法更有效。研究人员进行了一项综合研究,以评估关键工艺参数(即解刨器(480-540 转/分钟)、辊子速度(50-80 转/分钟)和辊子间隙(2-4 毫米))对提取的香蕉纤维机械性能的影响。实验设计和数据分析采用了响应面方法(RSM),考察的机械性能包括香蕉纤维的拉伸强度、杨氏模量和应变百分比。结果表明,滗水器速度、辊子速度和辊子间隙对其机械性能有显著影响。因此,确定的最佳工艺参数值如下:蜕皮机速度为 510 转/分钟,辊子速度为 65 转/分钟,辊子之间的间隙为 3 毫米。优化香蕉纤维的机械特性表现出令人印象深刻的性能,其极限拉伸强度为 679.48 兆帕,杨氏模量为 25.47 GPa,应变为 3%。这项研究表明,自动化加上系统化的参数优化可以提高香蕉纤维的机械属性。这项研究不仅解决了人工提取的难题,还加深了人们对工艺参数如何影响香蕉纤维质量的理解,从而促进了这种天然纤维在各种工业应用中的利用。
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来源期刊
CiteScore
5.40
自引率
2.60%
发文量
193
审稿时长
69 days
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