Towards understanding the microstructure and temperature rule in large strain extrusion machining

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Towards understanding the microstructure and temperature rule in large strain extrusion machining

Yun-Yun Pi , Wen-Jun Deng , Jia-Yang Zhang , Xiao-Long Yin , Wei Xia

Advances in Manufacturing ›› 2021, Vol. 9 ›› Issue (2) : 262 -272.

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Advances in Manufacturing ›› 2021, Vol. 9 ›› Issue (2) : 262 -272. DOI: 10.1007/s40436-020-00343-w

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Towards understanding the microstructure and temperature rule in large strain extrusion machining

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¹ College of Mechanical and Automobile Engineering, South China University of Technology, 510640, Guangzhou, People’s Republic of China

^b dengwj@scut.edu.cn

Yun-Yun Pi is now studying for a PhD degree from the School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, China. Her current research interest is the numerical simulation of the machining process and the severe plastic deformation process.

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Wen-Jun Deng is a professor at the School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, China. He received a PhD in Mechanical Engineering from South China University of Technology. His research interests include severe plastic deformation processes to produce ultrafine grain materials/nanocrystalline materials, cutting technologies of materials of difficult machinability, and numerical simulation of the machining process.

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Jia-Yang Zhang was a doctoral candidate at the South China University of Technology when he worked for this study, and now he is an Assistant Professor at Shantou University after he received a PhD in Mechanical Engineering. His main research interest is the compound forming process based on cutting to produce the functional structure.

[graphic not available: see fulltext]

Xiao-Long Yin was a doctoral candidate at the South China University of Technology when he worked for this study, and now he is a lecturer at the Zhongyuan University of Technology after he received a PhD in Mechanical Engineering. His research interests mainly include Ultra-fine/Nano Grained materials and their preparation, metal cutting, Cryogenic temperature SPD techniques, and numerical simulation of the machining process.

[graphic not available: see fulltext]

Wei Xia is a professor at the School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, China. He received a PhD in Mechanical Engineering from the South China University of Technology. His research interests include metal materials cutting and numerical simulation of the machining process.

[graphic not available: see fulltext]

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Abstract

Large strain extrusion machining (LSEM) is a typical process for preparing ultrafine or nanocrystalline strips. It is based on large plastic deformation. The processing parameters of LSEM in this study were optimized by experiments and simulations. Using the orthogonal array, signal-to-noise ratio, and analysis of variance, the influence and contribution of processing parameters on response variables were analyzed. Because of the difference in processing parameters between optimizing the average grain size and the maximum temperature, the response variables analyzed must be correctly selected. Furthermore, the optimal processing parameters for obtaining the minimum average grain size and the lowest maximum temperature are analyzed. The results show that the tool rake angle is the most important factor. However, the level of this factor required to achieve the minimum average grain size is different from that required to obtain the lowest maximum temperature. The validity of the method is verified through experiments and simulations.

Keywords

Large strain extrusion machining (LSEM) / Taguchi design / Analysis of variance (ANOVA) / Average grain size / Maximum temperature

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Yun-Yun Pi, Wen-Jun Deng, Jia-Yang Zhang, Xiao-Long Yin, Wei Xia. Towards understanding the microstructure and temperature rule in large strain extrusion machining. Advances in Manufacturing, 2021, 9(2): 262-272 DOI:10.1007/s40436-020-00343-w

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