开发利用电火花加工制造 SiSiC 螺母的加工策略

Alexia Torres-Salcedo, Ignacio Puertas-Arbizu, C. J. Luis-Pérez
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引用次数: 0

摘要

如今,在难以加工的材料中高精度地制造小空腔仍然是一项挑战,如果需要对其进行螺纹加工,挑战就更大了。加工时间、电极磨损和表面光洁度是影响螺纹加工效率的决定性因素。然而,这方面的文献很少,因此有必要对加工过程和相关参数进行研究。因此,本研究提出了一种使用沉模放电加工(EDM)制造螺母的新型加工策略。此外,该策略的新颖之处在于只需一个阶段,使用传统的电火花加工发生器即可完成。为此,我们采用了实验设计 (DOE) 方法。首先,通过研究放电加工参数对操作变量的影响来确定最佳加工条件,并利用多元线性回归建立数学模型。通过这些模型,可以预测所研究的响应变量的行为。最后,在最终零件(特别是方形螺母)的制造过程中验证了根据之前的实验结果制定的加工策略。可以得出结论,数学模型足以预测实验结果。因此,本研究中介绍和描述的新方法可以获得粗糙度轮廓实际算术平均偏差 (Ra) 值为 1.27 μm 的螺母,而模型预测值为 1.28 μm。为此,选择的加工条件是4 A(电流强度)、5 µs(脉冲时间)和 0.4(占空比),材料去除率 (MRR) 值为 0.5370 mm3/min。本文提出的加工策略可用于今后与导电陶瓷材料机械接头制造相关的研究工作。
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Development of a machining strategy to manufacture SiSiC nuts by EDM
Today, the high-precision manufacturing of small cavities in difficult-to-machine materials is still a challenge, even more so if they need to be threaded. The machining time, the wear suffered by the electrodes and the surface finish are determining factors in the efficiency of the threading process. However, there is scant literature on this subject so there is a need to study the process and the parameters involved. Thus, this study presents a novel machining strategy for the manufacture of nuts using die-sinking electrical discharge machining (EDM). Moreover, the novelty of this strategy is that it is carried out in a single stage and with a conventional EDM generator. To do so, a design of experiments (DOE) methodology has been followed. First, the optimal machining conditions are determined by studying the influence of EDM parameters on operation variables and mathematical models are developed using multiple linear regression. These models allow the behavior of the response variables under study to be predicted. Finally, this machining strategy developed from the previous experimental results is validated in the manufacturing process of a final part, specifically a square nut. It can be concluded that the mathematical model is good enough to predict the experimental results. Thus, the new method presented and described in this present study allowed a nut to be obtained with a real arithmetic mean deviation of the roughness profile (Ra) value of 1.27 μm whereas the predicted value from the model was 1.28 μm. To do so, the machining conditions selected were: 4 A (current intensity), 5 µs (pulse time) and 0.4 (duty cycle), which also gave a material removal rate (MRR) value of 0.5370 mm3/min. The machining strategy proposed here may be used for future research works related to the manufacturing of mechanical joints made of conductive ceramic materials.
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来源期刊
CiteScore
5.10
自引率
30.80%
发文量
167
审稿时长
5.1 months
期刊介绍: Manufacturing industries throughout the world are changing very rapidly. New concepts and methods are being developed and exploited to enable efficient and effective manufacturing. Existing manufacturing processes are being improved to meet the requirements of lean and agile manufacturing. The aim of the Journal of Engineering Manufacture is to provide a focus for these developments in engineering manufacture by publishing original papers and review papers covering technological and scientific research, developments and management implementation in manufacturing. This journal is also peer reviewed. Contributions are welcomed in the broad areas of manufacturing processes, manufacturing technology and factory automation, digital manufacturing, design and manufacturing systems including management relevant to engineering manufacture. Of particular interest at the present time would be papers concerned with digital manufacturing, metrology enabled manufacturing, smart factory, additive manufacturing and composites as well as specialist manufacturing fields like nanotechnology, sustainable & clean manufacturing and bio-manufacturing. Articles may be Research Papers, Reviews, Technical Notes, or Short Communications.
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