Andere Kunden interessierten sich auch für
![Optimizing Hydraulic Design parameters for Irrigation Settling Basin]( "Optimizing Hydraulic Design parameters for Irrigation Settling Basin")
Optimizing Hydraulic Design parameters for Irrigation Settling Basin32,99 €![Effective Shear Strength Parameters of Remoulded Residual Soil]( "Effective Shear Strength Parameters of Remoulded Residual Soil")
Effective Shear Strength Parameters of Remoulded Residual Soil32,99 €![Parameters Estimation of NASH Model for Shetrunji Watershed]( "Parameters Estimation of NASH Model for Shetrunji Watershed")
Parameters Estimation of NASH Model for Shetrunji Watershed32,99 €![Software Simulation of Fabric Designing by Yarn Periodic Variation]( "Software Simulation of Fabric Designing by Yarn Periodic Variation")
Software Simulation of Fabric Designing by Yarn Periodic Variation19,99 €![Assessment of Hemodynamic Parameters]( "Assessment of Hemodynamic Parameters")
Assessment of Hemodynamic Parameters38,99 €![Optimized PID Parameters]( "Optimized PID Parameters")
Optimized PID Parameters32,99 €![The Influence of Principal Instructional Leadership Roles towards Teachers' Creative Pedagogy]( "The Influence of Principal Instructional Leadership Roles towards Teachers' Creative Pedagogy")
The Influence of Principal Instructional Leadership Roles towards Teachers' Creative Pedagogy46,99 €
Yarn manufacture is a complex process affected by many parameters which include raw material properties, level of technology, machinery, skill of machine operators and the ambient conditions. The ring spinning process is one of the most important staple fibres spinning process. Cotton on the other hand is a natural fibre that has found application in many textile products. Despite its wide application due to its favorable characteristics, cotton is inherently variable hence selection and processing of cotton is a complex process. The study of the relationship between cotton fibre and yarn parameters is therefore important. Moreover, the approach of applying statistical modelling, Monte Carlo simulation and Artificial Neural Network techniques in prediction of yarn parameters develops a new dimension in fibre-to-yarn modelling.