An automated software development for analysis of the morphological-tensile property relationship in egg shell bio-based particulate composites using machine learning algorithms

An automated software development for analysis of the morphological-tensile property relationship in egg shell bio-based particulate composites using machine learning algorithms

This work explored the importance of quantitative observation through imaging methods of optical and electron microscopies on the mechanical properties of particulate polymeric composites. Egg shell powder (ESP) reinforced polypropylene carbonate (PPC) polymeric composites with different filler weig...

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Bibliographic Details
Main Authors: G.Elizabeth Rani, R. Murugeswari, Selvakumar Vairamuthu, N. Rajini, Faruq Mohammad, Suchart Siengchin, Sikiru O. Ismail, K. Senthilkumar
Format: Article
Language:English
Published: Elsevier 2023-03-01
Series:Composites Part C: Open Access
Subjects:
Optical images
Particulate polymeric composites
Image processing
Image analysis software (IAS)
Online Access:http://www.sciencedirect.com/science/article/pii/S2666682022001062

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http://www.sciencedirect.com/science/article/pii/S2666682022001062

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