Sandra Biel, Thomas Daniel, Norbert Herfert, Diane Pfirrmann, Thomas Trapp
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引用次数: 0
摘要
超吸水性聚合物 (SAP) 是婴儿尿布和成人失禁用品的主要成分。为了开发新的 SAP,实验室测试被用来测量这些产品的重要特性。然而,这些人工测试往往耗时且繁琐。本文介绍了一种利用工业机器人测量压力下吸收(aAUP)的自动方法。新的机器人方法解决了工业标准压力下吸收 (AUP) 方法的局限性。新的 aAUP 方法可以连续运行,生成更多更好的数据,帮助产品开发。通过减少人工操作和提高数据质量,它可以将布霍尔兹理论应用于 SAP 特性的预测。这一点已在不同生产工艺、不同粒度分布和形状的商用聚合物上得到证实。aAUP 数据还能准确预测与卫生用品中应用相关的 SAP 的其他特性,使其成为了解基础科学和促进产品开发的有用工具。
Automated AUP (absorption under pressure): A novel method to characterise superabsorbent polymers.
Superabsorbent polymers (SAPs) are a key constituent in baby diapers and adult incontinence products. To develop new SAPs, lab tests are used to measure properties that are considered important for these products. However, these manual tests are often time-consuming and tedious. This paper introduces an automatic method to measure absorption under pressure (aAUP) using industry robots. The new robotic method addresses limitations in an industry standard absorption under pressure (AUP) method. The new aAUP method can run continuously, generating more and better data to aid in product development. It enables to put the Buchholz theory on SAPs for predicting their properties to practice by reduction of manual effort and by producing excellent data quality. This has been shown on commercial polymers from different production processes, with varied particle size distributions and shapes. The aAUP data has also been shown to accurately predict other properties of SAPs relevant for their application in hygiene articles, making it a useful tool for understanding the underlying science and facilitating product development.
期刊介绍:
The Journal of Engineering in Medicine is an interdisciplinary journal encompassing all aspects of engineering in medicine. The Journal is a vital tool for maintaining an understanding of the newest techniques and research in medical engineering.