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首页> 外文期刊>The International Journal of Advanced Manufacturing Technology >Development of a feed rate adaption control system for high-speed rough and finish end-milling of hardened EN24 steel
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Development of a feed rate adaption control system for high-speed rough and finish end-milling of hardened EN24 steel

机译:开发用于硬化EN24钢的高速粗加工和精加工的进给量自适应控制系统

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摘要

High-speed machining centers are used for end-milling operations of a variety of parts, dies, and molds needed in power and transport industries. Different approaches are used for rough and finish end-milling, since desired productivity and quality are important in the respective cases. In the present work, a feed rate adaption control system is proposed by integrating different requirements of high-speed end-milling. Hardened EN 24 steel which is being widely used in the production of dies, molds, and other parts is taken as a candidate work material for implementation of the proposed control system. Based on extensive experimentation, investigations have been carried out on high-speed rough and finish end-milling operations, and the details are reported by the authors (Saikumar and Shunmugam, Int J Adv Manuf Technol, under review). In this paper, relevant response surface and artificial neural network models have been used, and suitable reference parameters are obtained for the proposed control system. In the case of rough end-milling, material removal volume is taken as the objective, and the reference values for cutting force and cutting time are used. Only a reference cutting force is used for finish end-milling in which surface roughness is considered as the objective. Implementation details of the proposed PC-based control system are presented. The results obtained for a newly devised H–A–S–H test (short run) along with those for long-run tests are presented and discussed.
机译:高速加工中心用于对电力和运输行业所需的各种零件,模具和模具进行立铣加工。由于在各种情况下所需的生产率和质量很重要,因此可以对粗加工和精加工使用不同的方法。在目前的工作中,通过结合高速立铣的不同要求,提出了一种进给量自适应控制系统。已广泛用于模具,模具和其他零件生产中的硬化EN 24钢被用作实现建议的控制系统的候选工作材料。基于广泛的实验,已经对高速粗加工和精加工的立铣刀进行了研究,详细信息由作者(Saikumar和Shunmugam,Int J Adv Manuf Technol,正在审查中)报告。本文使用了相关的响应面模型和人工神经网络模型,并为所提出的控制系统获得了合适的参考参数。在粗铣的情况下,以材料去除量为目标,并使用切削力和切削时间的参考值。对于表面粗糙度被认为是目标的精加工,仅使用参考切削力。提出了基于PC的控制系统的实现细节。介绍并讨论了新设计的H–A–S–H测试(短期)以及长期测试的结果。

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