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A Holistic Framework for Environment Conscious Based Material Selection and Experimental Assessment Using Digraph-Based Expert System

Publication Type : Journal Article

Publisher : Wiley

Source : Scientific Programming

Url : https://doi.org/10.1155/2022/2112683

Campus : Nagercoil

School : School of Computing

Year : 2022

Abstract : Finding a suitable biomass sample for the pyrolysis process with proper physicochemical properties is a challenging one as it has several criteria and attributes. Multicriteria decision-making (MCDM) represents a systematic approach for helping decision makers in diversified field. In this study, the application of the digraph and matrix approach is described for the selection of the most appropriate biomass material for yielding more liquid oil via thermochemical conversion. A biomass material selection index (BMSI) is proposed that evaluates and ranks the selected materials. The index is derived from a material selection attributes function and acquired from a material selection attributes digraph. The digraph is developed making an allowance for material selection attributes and its relative importance related to pyrolysis. A sequential procedure to assess the biomass material selection index is recommended in this study. Among the selected materials, this study demonstrated a sunflower shell with a higher index. At the end of the study, the prediction is also validated by conducting the experimental research.

Cite this Research Publication : A. N. Arularasan, Manoj Mathew, M. Sudhakar, K. Sivakumar, S. Bhagavathi Perumal, P. Madhu, C. Sowmya Dhanalakshmi, J. Isaac JoshuaRamesh Lalvani, A Holistic Framework for Environment Conscious Based Material Selection and Experimental Assessment Using Digraph-Based Expert System, Scientific Programming, Wiley, 2022, https://doi.org/10.1155/2022/2112683

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