OPTIMISATION OF MILLING PARAMETERS USING NEURAL NETWORK

Optimisation of milling parameters using neural network

The purpose of this study was to design and test an intelligent computer software developed with the purpose of increasing average productivity of milling not compromising the design features of the final product.The developed system generates optimal milling parameters based on the extent of tool wear.The introduced optimisation algorithm employs

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Nanosized Cubosomal Thermogelling Dispersion Loaded with Saquinavir Mesylate to Improve Its Bioavailability: Preparation, Optimization, in vitro and in vivo Evaluation

Khaled M Hosny1,2 1Department of Pharmaceutics, Faculty of Pharmacy, King Abdulaziz University, Jeddah, Saudi Arabia; 2Department of Pharmaceutics and Industrial Pharmacy, Faculty of Pharmacy, Beni-Suef University, Beni-Suef, EgyptCorrespondence: Khaled M HosnyDepartment of Pharmaceutics, Faculty of Pharmacy, King Abdulaziz University, Jeddah, Saud

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Energy Saving in Electromechanical Grain Cleaning Systems

The article is Data Transfer Cables concerned with energy conservation in the process of cleaning grain.The study aimed to find ways of reducing energy consumption when cleaning food grains by using energy-saving operating modes (ESOM) on the production lines of grain storage facilities.For this purpose, experimental tests were performed which invo

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