Optimization of an algae ball mill grinder using artificial neural network

• Main Authors: Fernando, Arvin H., Maglaya, Archie B., Ubando, Aristotle T.
• Format: text
• Published: Animo Repository 2017
• Subjects: Microalgae; Nannochloropsis; Neural networks (Computer science); Mechanical Engineering
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/1890; https://animorepository.dlsu.edu.ph/context/faculty_research/article/2889/type/native/viewcontent
• Institution: De La Salle University

Effects of the various ball mill operational grinding parameters for extracting microalgae were evaluated. This paper presents the use of MATLAB artificial neural network (ANN) for optimizing and improving the micro algae ball mill grinding process configuration set-up particularly on Nannochloropsi...