Abstract: In order to solve the weight-value uncertainty problem in constructing a cutting parameter optimization mathematic model and the parameter coupling problem in dealing with a process with multi-working procedures and multi cutting passes, based on the statistics principle, a new cutting parameter optimization model for single cutting pass process is proposed and analyzed in detail for solving the parameter coupling problem. And some new concepts, volume-value-coefficient(VVC), area-value-coefficient(AVC), volume-material-removing-rate(VMRR) and area-material-removing-rate(AMRR), are proposed to construct a general optimization model so as to solve the weight-value uncertainty problem of machining quality, difficulty, efficiency, cost and profit. A cutting parameter optimization software is developed according to the presented principle. With the software, the parameter in rough milling of 300M steel is optimized. And it is found that the unit-time-profit-rate(UTPR) with optimized cutting parameter is 2.55 times that of using empirical cutting parameters when a factory is very busy, and it is also found that the total-single-pass-profit (TSPP) with optimized cutting parameters is 1.4 times that of using empirical cutting parameters when a factory is not busy enough. The calculation result demonstrates the validity of the proposed model in decreasing the difficulty of cutting parameter optimization problem.

Key words: Area-value-coefficient (AVC), Cutting parameters, Optimization, Unit cutting process(UCP), Volume-value-coefficient(VVC)