Abstract
Summary Integrated method of end milling has been developed to optimize both cutter path, type of tools, number of outs and cutting conditions. Method of Data Handling by Groups(MDHG) was used to set up a model for complex non-homogeneos systems with minimum data applied. Machining analytical introduction carrying from manufacturing process data directly with reliable accuracy was got by MDHG. For creating technological process variables relationships now used manufacturing statistics taking in account the shop production conditions. Two stages iterative mode interacting was carried out for optimization process: 1- the process structure has been optimized by cutter path, type of tools and number of cuts;2- using nonlinear programming the generalized Lagrange Multiplier Method for cutting condition optimization. Increase shop production rate has been confirmed by the method proposed.
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