Performance Analysis of Agricultural Waste Using Gray Relational Analysis (GRA) Method

Abstract

Agricultural waste, which is produced in large Sizes in India, for biogas production is A promising ingredient. A circular economy based on agro-waste biogas requires the Integration of agricultural waste management, biogas production and utilization and policy support. This article is from agricultural waste and Discusses in detail the feasibility of biogas production, its development and governance initiatives and policy regulations. For predicting the biogas content of agricultural wastes a simple theoretical study of anaerobic digestion is proposed. There are many different models, but most of them are instead of biochemical equations Relies on algebraic equations, and many more input parameters and Computational time is required. This work provides a simplified model that predicts the amount of biogas produced and can be used for agricultural energy feasibility studies, for example, bioreactors. That digests animal waste slurry. The objective of this thesis finding the best cleaning location for Agricultural waste or the Gray Relational Analysis (GRA) method showing. Based on grey correlation analysis for improving with many performance characteristics. This paper presents a useful approach. Based on the Taguchi method of orthogonal arrays sixteen test runs was performed. Such as laser power and cutting speed the laser cutting parameters are optimized considering multi-functional characteristics, that is Work piece surface roughness, Top kerf width and heat affected zone (HAZ) width. By analyzing the corresponding grayscale, Laser power is in the answers rather than slowing down and can be seen to have a greater effect. Ultimate analysis C, Ultimate analysis H, Ultimate analysis O, Ultimate analysis N, Ultimate analysis S there are alternatives parameter and Poultry Litter (Dry), Pig Solids (Dry), Fodder Manure (Dry), and Beef feedlot manure (dried) there are evaluation parameters. Ultimate analysis S is got the first rank whereas the Ultimate analysis O is having the lowest rank in this paper Agricultural waste Ultimate analysis S is got the first rank whereas the Ultimate analysis O is having the lowest rank.