Optimizing the performance of woven protective gloves using grey relational analysis

This study investigates the performance level of different protective gloves produced from woven fabrics, and optimizing their performance using grey relational analysis (GRA). The fabric areal density and poly vinyl chloride (PVC) dotting were the variables used to produce nine different glove samples. The performance of developed gloves was evaluated in terms of abrasion resistance, blade cut resistance, puncture resistance and tear strength. It was concluded that cut and puncture resistance are not affected by dotting type or increase in areal density (GSM). Tear resistance is improved by increasing GSM of the fabric, while abrasion resistance increases with increase in the diameter of dot. The grey relational analysis was performed to optimize the performance of gloves. It was found that the glove produced with 559 GSM fabric and 35dots/inch(2) offered best performance against all responses.