Textile Testing Instruments at a Glance

In the world of textiles, ensuring the quality and performance of fibers, yarns, and fabrics is paramount. Various testing instruments are employed to measure different parameters, each providing crucial insights into the material’s properties. Here’s a comprehensive overview of some key textile testing instruments and the parameters they measure: 1. Crystallinity 2. Semi Crystallinity 3. … Read more

Exploring Advancement in Some Key Areas of Technical Textiles

Introduction  Technical textiles are specialized fabrics designed for functional purposes beyond traditional apparel and home furnishings. These textiles are engineered to exhibit specific performance characteristics such as strength, durability, flame resistance, chemical resistance, and moisture management, making them suitable for various industrial, medical, automotive, aerospace, and other technical applications. They play a crucial role in … Read more

Dyeing Process of Cotton Fabric with Azoic Dyes

Introduction Azoic dyes, characterized by their insoluble azo group (-N=N-), are unique in that they are not available in a ready-made form. These dyes are produced through a chemical reaction between two components: a coupling compound (naphthol) and a diazo compound or diazo salt. The resulting colored substance is insoluble in water and exhibits excellent … Read more

Basic About Textile Fibers

Textile fibers are the essential building blocks of the fabrics we use every day. From the clothes we wear to the upholstery in our homes, these fibers influence comfort, durability, and style. This guide will introduce you to the world of textile fibers, covering their types, properties, and environmental impact. What is a Fiber? A … Read more

A mass of 150g was hung in turn from 250 pieces of a certain yarn, and 12 of the pieces broke. A load of 200g was then hung from the previously unbroken pieces and a further 213 pieces broke. Assume that yarn strength is distributed normally. Estimate the mean and standard deviation of the yarn strength.

The proportion of yarn that can withstand 150g of load, = 238/250 = 0.952 The proportion of yarn that cannot withstand = 1-0.952= 0.048 or 12/250 = 0.048 The proportion of yarn that can withstand 200g of load, = 25/250 = 0.1 Let µ and σ be mean and standard deviation of yarn’s strength Therefore, … Read more

A manufacturing company produces knitted sports goods. It is found that 2% of the goods produced are defective. What is the probability that in a shipment of 100 such goods 4% or more will prove to be defective?

Answer: To solve this problem, we can use the binomial probability distribution formula. The binomial distribution is applicable when there are two possible outcomes (defective or non-defective) and each trial is independent with a constant probability of success (defective in this case). Let’s denote: – (p) as the probability of a single item being defective … Read more

GATE TF Syllabus 2025: Textile Engineering & Fibre Science

A. General Aptitude Verbal Aptitude Basic English grammar: tenses, articles, adjectives, prepositions, conjunctions, verb-nounagreement, and other parts of speech Basic vocabulary: words, idioms, and phrases in contextReading and comprehension Narrative sequencing Quantitative Aptitude Data interpretation: data graphs (bar graphs, pie charts, and other graphs representing data), 2-and 3-dimensional plots, maps, and tables Numerical computation and … Read more

A manufacturing company produces knitted sports goods. It was found that 2% of the goods produced were defective. What is the probability that in a shipment of 100 such goods, 4% or more will prove to be defective?

To solve this problem, we can use the binomial probability distribution formula. The binomial distribution is applicable when there are two possible outcomes (defective or non-defective) and each trial is independent with a constant probability of success (defective in this case).Let’s denote: (p) as the probability of a single item being defective (0.02 in this … Read more

Mean count of 100 samples of yarn was found to be 40’s with a SD of 6’s Ne. How many tests are required to make at 95% confidence limit, error in yarn count be 2.56 %.

Answer: To determine the number of tests required to achieve a certain level of confidence with a given margin of error, we can use the formula for the confidence interval of the mean: Margin of Error = (Z_(α/2) *σ) / √n Where: –  Z is the z-score corresponding to the desired confidence level, – σ is … Read more

Textile Statistics: The mean yarn count of 200 samples is 20.46 Ne, and the standard deviation is 0.5. The tolerance limit for yarn count variation is 19.7 Ne to 21.22 Ne. Determine the off-count percentage.

To determine the off-count percentage, we need to find the proportion of samples that fall outside the tolerance limits.First, let’s find the z-scores corresponding to the lower and upper tolerance limits:For the lower limit (19.7 Ne):ZLower = (19.7 – 20.46)/0.5 [As Z = (X-μ)/σ ]= -1.52For the upper limit (21.22 Ne):ZUpper = (21.22 – 20.46)/0.5= … Read more