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

Author:

Arularasan A. N.1,Mathew Manoj2,Sudhakar M.3ORCID,Sivakumar K.4ORCID,Bhagavathi Perumal S.5,Madhu P.6ORCID,Sowmya Dhanalakshmi C.7ORCID,Isaac JoshuaRamesh Lalvani J.8ORCID

Affiliation:

1. Department of Artificial Intelligence and Data Science, Panimalar Institute of Technology, Chennai.600123, Tamilnadu, India

2. Department of Mechanical Engineering, Shri Shankaracharya Institute of Professional Management and Technology, Raipur 492015, Chhattisgarh, India

3. Department of Mechanical Engineering, Sri Sairam Engineering College, Chennai 600044, Tamilnadu, India

4. Department of Mechanical Engineering, SRM Valliammai Engineering College, Chennai 603203, Tamilnadu, India

5. Department of Civil Engineering, Sri Sairam Engineering College, Chennai 600044, Tamilnadu, India

6. Department of Mechanical Engineering, Karpagam College of Engineering, Coimbatore 641032, Tamilnadu, India

7. Department of Mechanical Engineering, SNS College of Technology, Coimbatore 641035, Tamilnadu, India

8. Faculty of Mechanical Engineering, Arba Minch Institute of Technology, Arba Minch University, PO Box 21, Arba Minch, Ethiopia

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.

Publisher

Hindawi Limited

Subject

Computer Science Applications,Software

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