Experimental Based Mathematical Model with Artificial Neural Network Simulation Model for Cotton Pre-Cleaning Machine

Abstract

Many countries are producing cotton in the world and cotton proves the back bone of economics of farmer, the world’s textile trade and industry.  Conversion cotton into thread and into cloths is main agriculture based business in India. The quality of textile products are mainly depends on the quality of cotton lint. Less contamination of cotton gives good quality of lint. This paper presents the experimental work on cotton pre cleaner to be executed for establishing appropriate generalized empirical model for cotton pre-cleaning operation. It also presents an experimental investigation. Sequential classical experimentation technique has been used to perform experiments for various moisture contents of seeded cotton, different varying speed of spiked shaft.