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Abrasive Machining Characteristics and Prediction Model for Sisal/Polyester Sandwich Composite
Journal of Natural Fibers ( IF 3.5 ) Pub Date : 2021-09-14 , DOI: 10.1080/15440478.2021.1958427
Shinde Avinash 1, 2 , Siva Irulappasamy 1 , Chithirai Pon Selvan 3 , MTH Sultan 4, 5, 6 , Lee Seng Hua 4 , Yashwant Munde 2
Affiliation  

ABSTRACT

This work focuses on optimization of abrasive machining parameters of the natural fiber reinforced sandwich composite, which is rarely reported in the literature. A sandwich made of vegetable fiber composite skins and polyvinyl chloride (PVC) foam of 80 gsm was machined for optimal conditions. The design of experiment and analysis were adopted to confirm the influence of machining parameters. The machining characters of bio-sandwich were compared with synthetic and hybrid sandwich panels to optimize the machinability of the target. The panels were manufactured through vacuum infusion bagging. The machining studies were done using the abrasive water jet cutting machine. The machining characteristics were optimized for the parameters and L18 Taguchi technique was employed in parameter optimization. Three controlled levels of machining parameters were chosen to be optimized: standoff distance (SOD), abrasive water jet pressure (JP), and nozzle traverse rate (TR). The response of kerf taper (KT), surface roughness (SR), and material removal rate (MRR) were investigated. It is observed that highest levels of these parameters gave minimum kerf taper and lowest levels produce lower surface roughness. The surface roughness and damage on the surface was observed using scanning electron microscopy (SEM). It Shows that flowing abrasive particle’s directional distortion noted at the foam regions due to their higher damping nature. The prediction model shows a good agreement with the experimental value.



中文翻译:

剑麻/聚酯夹层复合材料磨料加工特性及预测模型

摘要

这项工作的重点是优化天然纤维增强夹层复合材料的磨削加工参数,这在文献中很少见。由植物纤维复合材料表皮和 80 gsm 的聚氯乙烯 (PVC) 泡沫制成的夹层被加工成最佳条件。通过实验设计和分析来确定加工参数的影响。将生物夹心板的加工特性与合成和混合夹心板进行比较,以优化目标的可加工性。面板是通过真空灌注袋制造的。加工研究是使用磨料水射流切割机完成的。针对参数优化了加工特性,并在参数优化中采用了 L18 田口技术。选择三个受控级别的加工参数进行优化:间隔距离 (SOD)、磨料水射流压力 (JP) 和喷嘴移动速率 (TR)。研究了切口锥度 (KT)、表面粗糙度 (SR) 和材料去除率 (MRR) 的响应。据观察,这些参数的最高水平产生最小的切口锥度,而最低水平产生较低的表面粗糙度。使用扫描电子显微镜(SEM)观察表面粗糙度和表面损伤。它表明流动的磨料颗粒由于其较高的阻尼性质而在泡沫区域注意到了方向畸变。预测模型与实验值吻合良好。研究了表面粗糙度 (SR) 和材料去除率 (MRR)。据观察,这些参数的最高水平产生最小的切口锥度,而最低水平产生较低的表面粗糙度。使用扫描电子显微镜(SEM)观察表面粗糙度和表面损伤。它表明流动的磨料颗粒由于其较高的阻尼性质而在泡沫区域注意到了方向畸变。预测模型与实验值吻合良好。研究了表面粗糙度 (SR) 和材料去除率 (MRR)。据观察,这些参数的最高水平产生最小的切口锥度,而最低水平产生较低的表面粗糙度。使用扫描电子显微镜(SEM)观察表面粗糙度和表面损伤。它表明流动的磨料颗粒由于其较高的阻尼性质而在泡沫区域注意到了方向畸变。预测模型与实验值吻合良好。它表明流动的磨料颗粒由于其较高的阻尼性质而在泡沫区域注意到了方向畸变。预测模型与实验值吻合良好。它表明流动的磨料颗粒由于其较高的阻尼性质而在泡沫区域注意到了方向畸变。预测模型与实验值吻合良好。

更新日期:2021-09-15
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