Background Small-scale research or individual seed cotton samples from breeders and geneticists are ginned using laboratory saws or roller gins.The objective of this study was to examine the effects of two different l...Background Small-scale research or individual seed cotton samples from breeders and geneticists are ginned using laboratory saws or roller gins.The objective of this study was to examine the effects of two different laboratory saw ginning(SG)rates and subsequent mechanical blending on fiber high volume instrument(HVI)and advanced fiber information system(AFIS)quality measurement.Seed cottons from diverse upland cotton cultivars,years,and locations were evaluated.Results As the SG rate was increased,HVI results for uniformity index(UI),short fiber index(SFI),and two non-lint parameters(area%,particle count),as well as AFIS results for some properties,were impacted,with significant effects on HVI UI and AFIS short fiber content(SFC).Apparent fiber blending impacts were observed for HVI UI,strength(STR),reflectance(Rd),SFI,and two trashes as well as for all AFIS parameters,with significant effects on HVI Rd and two trashes and all AFIS parameters except the length and maturity measurements.A combination of ginning and blending processes indicated statistically significant interactions for HVI STR,Rd,SFI,and two trashes,and also for AFIS neps,L(w)CV,UQL(w),L(n)CV,SFC(n),L5%(n),immature fiber content(IFC),fineness,total count,dust count,particle count,and visible foreign matter(VFM).Further analysis implied a few impacts of ginning and blending on correlations between HVI and relevant AFIS qualities.Conclusion Despite the observation,the laboratory saw gin and blending methods should continue to be a practical tool to study the differences when all samples are processed identically.展开更多
As a starting point in equipment manufacturing,sawing plays an important role in industrial production.Intelligent manufacturing equipment is an important carrier of intelligent manufacturing technologies.Due to the b...As a starting point in equipment manufacturing,sawing plays an important role in industrial production.Intelligent manufacturing equipment is an important carrier of intelligent manufacturing technologies.Due to the backwardness of intelligent technology,the comprehensive performance of sawing equipments in China is obviously different from that in foreign countries.State of the art of advanced sawing equipments is investigated along with the technical bottleneck of sawing machine tool manufacturing,and a new industrial scheme of replacing turning-milling by sawing is described.The key technologies of processing-measuring integrated control,multi-body dynamic optimization,the collaborative sawing network framework,the distributed cloud sawing platform,and the self-adapting service method are analyzed;with consideration of the problems of poor processing control stableness,low single machine intelligence level,no on-line processing data service and active flutter suppression of sawing with wide-width and heavy-load working conditions.Suggested directions for further research,industry implementation,and industry-research collaboration are provided.展开更多
基金supported by the USDA-ARS Research Project(#6054–44000-080-00D)。
文摘Background Small-scale research or individual seed cotton samples from breeders and geneticists are ginned using laboratory saws or roller gins.The objective of this study was to examine the effects of two different laboratory saw ginning(SG)rates and subsequent mechanical blending on fiber high volume instrument(HVI)and advanced fiber information system(AFIS)quality measurement.Seed cottons from diverse upland cotton cultivars,years,and locations were evaluated.Results As the SG rate was increased,HVI results for uniformity index(UI),short fiber index(SFI),and two non-lint parameters(area%,particle count),as well as AFIS results for some properties,were impacted,with significant effects on HVI UI and AFIS short fiber content(SFC).Apparent fiber blending impacts were observed for HVI UI,strength(STR),reflectance(Rd),SFI,and two trashes as well as for all AFIS parameters,with significant effects on HVI Rd and two trashes and all AFIS parameters except the length and maturity measurements.A combination of ginning and blending processes indicated statistically significant interactions for HVI STR,Rd,SFI,and two trashes,and also for AFIS neps,L(w)CV,UQL(w),L(n)CV,SFC(n),L5%(n),immature fiber content(IFC),fineness,total count,dust count,particle count,and visible foreign matter(VFM).Further analysis implied a few impacts of ginning and blending on correlations between HVI and relevant AFIS qualities.Conclusion Despite the observation,the laboratory saw gin and blending methods should continue to be a practical tool to study the differences when all samples are processed identically.
基金Supported by Natural Science Foundation of China(Grant No.51775501)Natural Science Foundation of Zhejiang Province,China(Grant Nos.LZ21E050003,LR16E050001,LY17E050004).
文摘As a starting point in equipment manufacturing,sawing plays an important role in industrial production.Intelligent manufacturing equipment is an important carrier of intelligent manufacturing technologies.Due to the backwardness of intelligent technology,the comprehensive performance of sawing equipments in China is obviously different from that in foreign countries.State of the art of advanced sawing equipments is investigated along with the technical bottleneck of sawing machine tool manufacturing,and a new industrial scheme of replacing turning-milling by sawing is described.The key technologies of processing-measuring integrated control,multi-body dynamic optimization,the collaborative sawing network framework,the distributed cloud sawing platform,and the self-adapting service method are analyzed;with consideration of the problems of poor processing control stableness,low single machine intelligence level,no on-line processing data service and active flutter suppression of sawing with wide-width and heavy-load working conditions.Suggested directions for further research,industry implementation,and industry-research collaboration are provided.
