<section data-role="outer" class="article135" label="edit by 135editor"><section class="_135editor" data-tools="135编辑器" data-id="119885"><section style="margin: 10px auto; background-color: rgb(225, 248, 253); padding: 0px 10px;"><section style="display: flex; justify-content: flex-end; padding: 0px 30px 0px 0px;"><section style="width: 10px; height: 10px; background-color: rgb(255, 255, 255); overflow: hidden;"></section><section style="width: 10px; height: 10px; background-color: rgb(255, 255, 255); margin: 0px 0px 0px 8px; overflow: hidden;"></section></section><section style="padding: 10px 15px; background-color: rgb(255, 255, 255);"><section data-autoskip="1" class="135brush" style="text-align: justify; line-height: 1.75em; letter-spacing: 1.5px; color: rgb(68, 91, 106); background: transparent;"><p style="line-height:1.75em">　　由于做的品种复杂及织造难度的变化较大，对浆纱要求也非常严格，长期以来我们对喷气织机和浆纱关系并不是很清楚、所以导致在浆纱工艺上和技术要求上重视不够，后果是浆纱质量不稳定，布机效率长期处在忽高忽低状态，织造车间反应很大，所以浆纱必须适应现代织造要求，现在市面上的纺织品种繁多，难度越来越大要求也很高，浆纱如做不好布机也就开不好，织造疵布多不能适应市场，所以要充分认识高速喷气织机和浆纱的关系。</p><p style="line-height:1.75em">　　1. 原纱要求</p><p style="line-height:1.75em">　　1.1.原纱指标</p><p style="line-height:1.75em">　　原纱选择是浆纱之前必须要做的第一项工作，首先是在指标上进行把关，不管是在纯棉还是涤棉混纺纱以及目前出现新型纤维纺纱，原纱各项质量指标必须符合浆纱要求、否则浆纱质量无法保证，在原纱上，适合喷气用棉纱条干CV值要选在09 乌斯特公报 25%以内，强力CV值在09 乌斯特公报 25%以内，3mm以上有害毛羽数在8根/m以内，整经百根万米断头数不超过0.5根，只有控制好原纱质量指标，浆纱质量才有保证。</p><p style="line-height:1.75em">　　1.2.纤维性能</p><p style="line-height:1.75em">　　浆纱前还必须要了解纤维性能，目前各种新型纤维不断涌现，各种纤维与浆纱关系、纤维与浆料亲和性，这些都是必须了解的，比如棉纤维中含有羟基、那么在选择浆料时就要选择与棉具有亲和力的变性淀和环保型化学浆料。</p><p style="line-height:1.75em">　　2.浆纱要求</p><p style="line-height:1.75em">　　2.1.上浆率</p><p style="line-height:1.75em">　　浆纱上浆率是浆纱工序一个重要指标，浆纱上浆率高低反应浆纱在喷气织机可织性，上浆率过高在织机上易产生脆断，布机断头率增高，布机效率就会降低，同时布机落浆也会增加。上浆率过低，浆纱耐磨性降低，会产生棉球，断头也会增加，上浆率过低甚至还会造成布机开不出来，影响上浆率还有浆料选择，要选择与纤维具有亲和力浆料才能保证经纱上浆，当然影响上浆率因素还有很多，诸如浆纱操作，调浆质量、浆槽温度、压浆辊压力，车速等等。所以把握好上浆率就是把握好浆纱质量。</p><p style="line-height:1.75em">　　2.2.浆纱耐磨</p><p style="line-height:1.75em">　　对于喷气布机而言浆纱耐磨很重要，浆纱耐磨首先是原纱质量要好，原纱强力和CV值是很关键因素，如果原纱强力低CV值偏大、就是选择再好浆料都无法解决十万纬经断多问题，那些想通过降低原纱成本购买质量差原纱，然后通过浆纱来弥补原纱缺陷都是徒劳和无用的，另外原纱还要注意细节问题，原纱强力最薄弱的地方就是细节，细节也是浆纱最薄弱的地方，所以浆纱耐磨是建立在原纱质量基础上，浆膜强度只能反应浆料物理性能，在浆纱过程中浆料只是给经纱上一层浆贴伏毛羽，增强经纱的刚性使浆纱在织机上具有可织性，刚性增加也就增加浆纱的耐磨。</p><p style="line-height:1.75em">　　2.3.毛羽贴伏</p><p style="line-height:1.75em">　　浆纱毛羽贴伏对浆纱而言是重要的，毛羽贴伏在浆纱首先必须要做好浆料选择，过分选择PVA并不是一种好的方法，大家知道PVA1799具有良好的成膜性和粘附性，浆膜强力大，易造成分绞困难，再生毛羽多反而不好，过分选择变性淀粉落浆会曾加，上浆率会增大掌握不好造成浆纱脆断。</p><p style="line-height:1.75em">　　目前市场上出现许多高性能变性淀粉，但这些淀粉浆膜强度较大浆膜脆而硬，浆膜伸长率低不柔软，对毛羽贴伏不利，也有浆料公司经过研究生产高性能变性淀粉、浆膜伸长较大有利于经纱上浆和毛羽贴伏，所以贴伏毛羽选好浆料是首位的。其次是浆纱上机生产工艺，经纱表面毛羽较多在浆纱时要注意加上湿分绞棒，在很多企业挡车工不太愿意使用湿分绞棒，据有关资料介绍在浆纱过程加湿分绞棒和不加湿分绞棒毛羽贴伏差距很大。再有就是压浆辊压力大小对毛羽贴伏也很关键、压力大纤维间抱合较紧毛羽不易伸展毛羽贴伏好。烘筒温度对毛羽贴伏也起作用，目前浆纱机大多为烘筒烘燥，这有利于毛羽贴伏。过高烘筒温度对毛羽贴伏不利，所以浆纱毛羽贴伏是织机对浆纱质量最重要的要求之一。</p><p style="line-height:1.75em">　　2.4.浆纱回潮</p><p style="line-height:1.75em">　　浆纱回潮对织机织造效果影响很大，浆纱回潮过小，在织造时会产生浆纱脆断，在浆纱时要根据织造车间温湿度、选用浆料性能、来确定浆纱回潮率大小，对于以淀粉为主浆料时回潮率可以放大些，织造车间湿度小时应该将浆纱回潮率放大些，根据目前多数企业经验、对于纯棉而言回潮率控制在8%-9%为好，对于涤棉回潮控制在4%-6%为好。</p><p style="line-height:1.75em">　　3.浆纱实践</p><p style="line-height:1.75em">　　涤棉品种，原纱毛羽大，浆纱时浆液的渗透差，表面上浆率小，浆膜的完整度差，二次毛羽多，在织造过程中浆纱与停经片、综丝、钢筘之间摩擦力大，落浆很多。在织造时易起棉球，严重则整幅起球甚至报废，在实践过程中并不是增加PVA就能完全避免起球。</p><p style="line-height:1.75em">　　3.1.品种1：T/C 45S×45S 133×70 90″平纹总经根数11869根</p><p style="line-height:1.75em">　　3.1.1.先进行配方1实践</p><p style="line-height:1.75em">　　<img src="https://dayaotex-edu.fsh.bcebos.com/v1/dayaotex-edu/image.png?authorization=bce-auth-v1%2F59b7a26546d74b64bfd056b483465817%2F2023-04-23T00%3A43%3A28Z%2F-1%2F%2Fcab17c9a9779aa18506e7085f2e65a50a039d81c390b9d5a2f6f4a65d00d1cce" data-filename="" style="width: 667px;"></p><p style="line-height:1.75em">　　上述配方尽管使用PVA和变性淀粉为主，做涤棉45S应该是没有什么问题的，大家知道PVA1799具有良好的成膜性和粘附性，浆膜强力大，耐磨性好，聚合度大，醇解度高，浆膜强度大，但易造成分绞困难，再生毛羽多，于是就要与高浓低粘，水溶性好的变性淀粉和丙烯配合使用，可在实际的织造过程中还是不好，织机效率也只有65-75%之间，主要原因是PVA用量过大，在浆纱实际应用中出现较多的二次毛羽，造成织机开口不清纱线相互粘连，织机效率不高。</p><p style="line-height:1.75em">　　此后与浆料生产商进行探讨和实验，采取降低PVA1799的使用量，目的是降低浆膜强度在浆纱分绞过程中不至于产生二次毛羽，另外在浆纱上机工艺上做些调整，由于以前工艺做此品种并不理想，所以在配方上进行大幅度调整，新配方如下：</p><p style="line-height:1.75em">　　3.1.2.进行配方2实践</p><p style="line-height:1.75em">　　<img src="https://dayaotex-edu.fsh.bcebos.com/v1/dayaotex-edu/image.png?authorization=bce-auth-v1%2F59b7a26546d74b64bfd056b483465817%2F2023-04-23T00%3A44%3A01Z%2F-1%2F%2Fca335e4fafee07f580e6f4fbd0ea8e283f25e49ded735eb9b7dbb9795622dc0f" data-filename="" style="width: 668px;"></p><p style="line-height:1.75em">　　进行浆料配方2实践、发现经纱上浆毛羽比配方1少了很多，上浆浆膜的完整，在这个过程中我们对压浆辊压力作调整、采用前轻压、后重压、重披覆的工艺路线，在湿分绞区增加湿分绞棒使毛羽贴伏得更好些，配方2浆液粘度低有利于渗透，由于涤纶纤维是疏水性纤维且表面光滑、受外力作用时，纤维易产生滑移，浆液良好的渗透有利于增加纤维之间的粘合力和增加披覆，浆纱贴伏毛羽好纱干表面毛羽就少，对织机来说开口就比较清晰，断头减少棉球疵布基本消除，布机效率由配方1的65%-75%增加到85%-90，使用新配方不管是织机效率和成本均有了质的变化，而且在染厂退浆也容易，节约了用水量。</p><p style="line-height:1.75em">　　我们通过对T/C 45S×45S 133×70 90″品种不同配方实践、产生良好效果。我们又与浆料生产商一起探讨对OE16×OE10120×60 63″进行上浆实践。</p><p style="line-height:1.75em">　　因为气流纺纱工艺已经很成熟，各工厂为了节省成本，气流纺纱用于做纯棉高紧度的织物越来越多。为了开好OE16纱我们也做了该品种两种配方进行比较。</p><p style="line-height:1.75em">　　3.2.品种2：OE16×OE10120×6063″斜纹总经根数7560根</p><p style="line-height:1.75em">　　3.2.1. 浆料配方3实践</p><p style="line-height:1.75em">　　由于气流纺纱粘度小吸浆较好，考虑到该品种织造还是有一定难度的，所以在配方中加了PVA1799和胶粉如表3。</p><p style="line-height:1.75em">　　<img src="https://dayaotex-edu.fsh.bcebos.com/v1/dayaotex-edu/image.png?authorization=bce-auth-v1%2F59b7a26546d74b64bfd056b483465817%2F2023-04-23T00%3A44%3A31Z%2F-1%2F%2F044a461bbae560340768340dc0fbcc7996079055b961403d95e2747ba983a520" data-filename="" style="width: 687px;"></p><p style="line-height:1.75em">　　浆轴一出来就马上跟踪，结果发现断经偏高并有横档，根据上浆测试发现上浆率偏高，经分析上浆率过高将导致浆纱直径增大，布机织造时紧度增大打纬阻力也就大，就容易产生横档。所以对紧度过高的OE16浆纱上浆率不能过高，上浆率过高也会导致浆纱发硬产生脆断，但是上浆率过小会出现棉球，胶粉浆膜比较脆也会使浆纱发硬，因此经过织造结果分析、我们觉得需用一种浆膜比较柔软的浆料替代胶粉和PVA1799，而且上浆率又不能过高，且对OE纱粘附性要好，成膜性也好，为此又做了新配方如表4：</p><p style="line-height:1.75em">　　3.2.2. 浆料配方4实践</p><p style="line-height:1.75em">　　<img src="data:image/png;base64,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" alt="" style="background-color: transparent;"></p><p style="line-height:1.75em">　　用了表4配方工艺后、布机的效率从75%提高到了90%。并且纱线柔软也没有出现横档、成本也降低了不少，通过织机效果看表4配方切实可行，浆纱断头少布机效率高。</p><p style="line-height:1.75em">　　从上述两品种四个浆纱配方中可以看出，浆纱质量不仅与原纱质量有关，而且也与浆料性能和质量有关，CD-DF333和CD-200E不仅粘度稳定、性能可靠、浆膜柔软、分绞容易、再生毛羽少，布机织造效率高，而且调浆方便，浆液混溶性好流动性好、煮浆时间短、节能节气、还有价格低廉、上浆成本自然就低了。</p><p style="line-height:1.75em">　　4.结束语</p><p style="line-height:1.75em">　　经过两个品种的上浆实践、反映出高速喷气布机对浆纱的要求是比较高的，首先是浆纱使用原纱的质量，原纱质量必须适合喷气布机织造，这是先决条件。另外浆纱的某些工作不到位布机效率就会有不同的结果，浆纱不仅要控制好经纱的上浆率、回潮率、毛羽贴伏还要具有耐磨，当然还要选好浆料，了解浆料性能和浆膜形成机理和特点，还要设计出较好的浆料配方工艺，但这是在确保原纱质量的情况下，这样才能做好浆纱。当然还有浆纱管理和布机车间温湿度控制。</p><p style="text-indent: 2em; line-height: 1.75em;"><br></p></section></section><section style="display: flex; justify-content: flex-start; padding: 0px 0px 0px 30px;"><section style="width: 10px; height: 10px; background-color: rgb(255, 255, 255); overflow: hidden;"></section><section style="width: 10px; height: 10px; background-color: rgb(255, 255, 255); margin: 0px 0px 0px 8px; overflow: hidden;"></section></section></section></section><section data-role="paragraph" class="_135editor"><p><br></p></section></section>