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Super-Nickel Orthogonal Turning Operations Optimization

机译:超镍正交车削优化

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The machining processes simulation are commonly used by manufacturing industries in order to produce high quality and very complex products in a short time. These machining processes simulation include large number of input parameters which may affect the cost and quality of the products. Selection of optimum machining parameters in such machining processes is very important to satisfy all the conflicting objectives of the process. There are two options to choose the optimal cutting parameters for a given economic objective. The first one is concerned with the need of a machine expert that manually selects the machining parameters on the basis of its own experience and by means of a proper machining handbook. That way generates many uncertainties and drawbacks in terms of efficiency of solutions and time/cost requirements. As an alternative to the above mentioned approach, many research efforts have been made to state a comprehensive mathematical model of a turning process that, in practice, entails a set of cutting constraints to be handled. Machining optimization problems become tricky whenever a given objective function must be optimized with respect to a large number of constraints. This paperwork is focused about the generation of an automated optimization procedure, for turning processes of nickel superalloys, under certain process conditions. For the automated optimization procedure the response surface methodology (RSM) has been used to detect the influence of the process variables on its performances.
机译:加工过程模拟通常被制造业使用,以便在短时间内生产出高质量和非常复杂的产品。这些加工过程模拟包括大量输入参数,这些参数可能会影响产品的成本和质量。在这种加工过程中选择最佳加工参数对于满足该过程的所有冲突目标非常重要。对于给定的经济目标,有两种选择来选择最佳切削参数。第一个问题涉及机器专家的需求,该机器专家根据其自身的经验并通过适当的加工手册来手动选择加工参数。这种方式在解决方案的效率和时间/成本要求方面产生了许多不确定性和缺点。作为上述方法的替代方法,已经进行了许多研究工作来阐明车削过程的综合数学模型,实际上,这需要处理一组切削约束。每当必须针对大量约束优化给定目标函数时,加工优化问题就变得棘手。本文工作的重点是在某些工艺条件下,针对镍超合金车削工艺的自动化优化程序的生成。对于自动化优化程序,已使用响应面方法(RSM)来检测过程变量对其性能的影响。

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