Home | Dictionary | Directory | Forum | Login | Feedback | Contact Us 
Welcome   to TAI    
Textile Directory
Textile Producers
Supplies Manufacturers
Textile Traders
Textile Organisations
Textile Technology
Technology Solutions
Technical Services
Textile Managerial
Textile Jobs
Buy & Sell
Textile Information
Event Calender
Textile Dictionary
Textile News
Textile People
Textile History
IJFTR
Indian Journal of Fibre and Textile Research
ITCTI
Information Technology Centre For Textile Industry
Suggest This Page
 Abstract

The Proof Of The Pudding Is In The Eating, But We Have Only The Recipe To Go By

Cotton cost has always been the single major contributor to the cost of gray yarns. Consequently, economic cotton selection for meeting yarn specifications continues to be one of the main concerns of a spinner. Left to himself, any spinner would very much like to spin every single lot of cotton to yarn before deciding upon whether to buy the lot or not. This is because every spinner experiences occasional surprises, some pleasant, but some not quite, in taking decisions solely on the basis of laboratory test data. However logistics, commercial practices, need for prompt decision and so on rule out this most reliable appraisal of cotton. We are, most often, constrained to decide upon the purchase of cotton on the basis of fibre-test reports. We have only the recipe to go by; we don’t get to taste the pudding.

 
     
Yarn Tenacity Equations As The Key To The Recipe   

In reading meaning out of test reports of cotton, we have often, mentally, to balance the shortfall in one characteristic with the premium in another characteristic. Let us consider, for example, the two cottons in Table A-i.

 

Table A-i Data on Two Cottons

 

Cotton

XX

ZZ

Effective length,mm

32.3

27.1

Micronaire

3.55

4.51

Stelo g/t at 1/8-inch

24.3

27.0

Cost Index

100

84

 

Cotton ZZ is shorter and coarser, but stronger than cotton XX. Which of the two cottons would be appropriate to spin NE 40 (15 tex) hosiery yarn? Again which of the two would be appropriate for NE 30 (20 tex) warp yarn? We can answer these questions only if we can complete Table A-ii by writing in the tenacity values without actually spinning the two cottons to yarns.

 
  Table A-ii Yarn Data We Need To Choose The Appropriate Cotton   
 

Cotton

XX

ZZ

T.M.

CSP at NE

30

40

30

40

3.25

 

 

 

 

3.75

 

 

 

 

4.25

 

 

 

 

4.50

 

 

 

 

 

Over the years research workers have, therefore, expended considerable effort on the derivation of equations for the estimation of yarn tenacity from cotton fibre characteristics.

 

Why Did We Construct Another Equation?

 
Can Simplicity Be The Only Criterion For A General Equation?    

How Did We Construct The General Equation For Estimating Yarn Tenacity?

 
How Accurate Is The General Equation In Estimating Cotton Yarn CSP?   

Can The General Equation Predict CSP  Of Yarns Spun From Mixings Of Cottons?

 

Can We Modify the General Equation to Accept HVI Data?

 
Sections in New Research
 Part - I
Index - I
Why Do We Need Another Equation for the Prediction of Yarn Tenacity?
Strcturing the General Equation for Yarn Tenacity

The Algebraic Expressions for the General Equation

The Choice of Parameters of Fibre-Length Distribution for Use in the Irregularity Fraction

Improved Algebraic Expressions for the General Equation
Making Use of the Equation in a Mill
What Does the General Equation Tell Us?
How General Is The General Equation ?

Can We Use the General Equation to Estimate the CSP of Yarns from Mixings of Cottons?            

Can We Modify the General Equation to Estimate CSP Of Combed Yarns?
A Note of Caution
Can We Modify the General Equation to Accept HVI Data?
The General Equation, A Tool for Economic Cotton Selection
 
 Part - II
Index - II
Concept and Structure of a General Equation
The Algebraic Expression 0f the General Equation:The First Attempt

Improved Algebraic Expressions And Their Interpretation

Implications of the General Equation

Appraisal
Practical Application
APPENDIX II - 1 Derivation of the algebraic expressions in the general equation for Brown’s data
APPENDIX II - 2. Regression equations for estimating Uster frequencies of thin and thick places in yarn

Appendix II - 3 Estimating yarn CS from the ATIRA expressions for the general equation.

Appendix II - 4 Cross-Checking Applicability Of Model To Viscose Yarns
Appendix II - 5 Procedure for Adjusting SITRA HVI Test Data To Use In The Modified General Equation For Estimating CS Of Ring-spun Yarns of optimum twist
 
Home | Dictionary | Directory | Forum | Feedback | Contact Us 
Terms of Use | Privacy Policy  
  © TextileInfoOnline.com 2008. All rights reserved.