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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Application technology in coffee (Coffea arabica L.): effect of air assistance with manually driven equipment

Small farmers in various parts of Brazil, based the application of pesticides exclusively by a coastal manual sprayers.How it is simple equipment, there are Bottle Stoppers few resources available to improve the quality of the application.The aim of this paper was to study the effect of air assistance, with manual override, in the deposition and pe

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