表面活性剂和基于水胶体的佐剂对冲击液滴的保留和扩散能力的影响

IF 1.4 4区 农林科学 Q3 AGRICULTURAL ENGINEERING
J. Abbott, Heping Zhu, H. Jeon
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引用次数: 1

摘要

7种佐剂对微滴在叶片上的保留和扩散进行了研究。喷雾溶液的表面张力、叶片的润湿性和粗糙度强烈影响液滴的保留和扩散。在所有佐剂和浓度的亲水性叶片上,液滴完全保留。有机硅佐剂在超疏水叶片上具有较高的保留率和涂抹性。水胶体聚合物佐剂对超疏水叶片表面无滞留作用。为了优化喷雾应用效率,有必要了解佐剂的添加如何改变喷雾液滴在叶片表面的沉积特性,这是由于粘合剂特性的变化,如粗糙度和润湿性。7种市售佐剂对液滴的保留和扩散进行了测试,并在不同浓度下进行了比较。试验用三种叶片表面进行,其粗糙度和润湿性从非常光滑和亲水到非常粗糙和超疏水。佐剂由非离子表面活性剂、作物油、种子油、有机硅、水胶体聚合物或这些试剂的组合作为主要成分配制而成。直径约340微米的液滴从一个单一尺寸的流发生器中发射出来。用由3台高速数码相机组成的三维成像系统记录液滴撞击和扩散,并使用三维运动分析软件进行分析。通过比较撞击前后液滴液体积和液滴横截面积来确定滞留和扩散。喷雾溶液的表面张力和叶片表面的润湿性对液滴滞留有很大影响。表面张力较低的液滴比表面张力较高的液滴更容易获得较高的滞留率。液滴滞留一般随叶片粗糙度的增加而减少。所有滴有助剂和不含助剂都在亲水性叶片表面达到100%的保留率。在喷雾溶液中加入非离子、油或有机硅基佐剂可以改善疏水性叶片上的液滴保留,而有机硅基佐剂在超疏水性叶片表面上的保留率最高。水胶体聚合物佐剂的液滴在亲水性叶片和疏水性叶片上的保留率与其他六种佐剂大致相当,具有中等粗糙度和润湿性,但在超疏水性叶片上未能实现任何保留率。为了提高液滴的保留和粘附性,选择非离子型、油型、有机硅型、混合型或基于水胶体的助剂来增强喷雾溶液的性能,必须符合叶子表面的特性。关键词:液滴回弹,高速成像,叶片润湿性,农药液滴沉积,地形参数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Retention and Spread Capability of Impacted Droplets with Surfactant and Hydrocolloid Based Adjuvants
HighlightsRetention and spread of droplets with seven adjuvants were investigated on flat leaves.Surface tension of spray solutions, leaf wettability, and roughness strongly affected droplet retention and spread.Complete droplet retention occurred on hydrophilic leaves with all adjuvants and concentrations.High retention and spread on superhydrophobic leaves were achieved with the organo-silicone adjuvant.No retention occurred on superhydrophobic leaf surfaces with the hydrocolloid polymer adjuvant.Abstract. To optimize spray application efficiency, it is necessary to understand how the addition of adjuvants modifies the deposition properties of spray droplets on leaf surfaces due to variations in adhesive characteristics, such as roughness and wettability. Retention and spread of droplets with seven commercially available adjuvants were tested and compared at different concentrations. Tests were conducted with three leaf surfaces ranging in roughness and wettability from very smooth and hydrophilic to very rough and superhydrophobic. The adjuvants were formulated with non-ionic surfactant, crop oil, seed oil, organo-silicone, hydrocolloid polymer, or combinations of these agents as primary ingredients. Droplets of approximately 340 µm diameter were emitted from a streamed mono-sized generator. Droplet impact and spread were recorded with a 3D imaging system consisting of three high-speed digital cameras and analyzed using 3D motion analysis software. Retention and spread were determined by comparing droplet liquid volumes and droplet cross-sectional areas before and after impact, respectively. The surface tension of spray solutions and wettability of leaf surfaces strongly affected droplet retention. Droplets with lower surface tension were more likely to achieve high retention than those with higher surface tension. Droplet retention generally decreased with increasing leaf roughness-wettability. All droplets with and without adjuvants achieved 100% retention on the hydrophilic leaf surface. Addition of non-ionic, oil, or organo-silicone based adjuvants in the spray solution improved droplet retention on hydrophobic leaves, while the organo-silicone based adjuvant achieved the highest retention on superhydrophobic leaf surfaces. Droplet retention with the hydrocolloid polymer adjuvant was generally comparable to the other six adjuvants on the hydrophilic leaves and on the hydrophobic leaves with intermediate roughness and wettability but failed to achieve any retention on the superhydrophobic leaves. To improve droplet retention and adhesion, selection of adjuvants representing the non-ionic, oil, organo-silicone, blended, or hydrocolloid-based additives for enhancing spray solution performance must comply with the leaf surface characteristics. Keywords: Droplet rebound, High-speed imaging, Leaf wettability, Pesticide droplet deposition, Topography parameters.
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来源期刊
Transactions of the ASABE
Transactions of the ASABE AGRICULTURAL ENGINEERING-
CiteScore
2.30
自引率
0.00%
发文量
0
审稿时长
6 months
期刊介绍: This peer-reviewed journal publishes research that advances the engineering of agricultural, food, and biological systems. Submissions must include original data, analysis or design, or synthesis of existing information; research information for the improvement of education, design, construction, or manufacturing practice; or significant and convincing evidence that confirms and strengthens the findings of others or that revises ideas or challenges accepted theory.
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