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

doi:10.1007/s40436-020-00343-w

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

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

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

收稿日期:2020-09-13 修回日期:2020-11-02 出版日期:2021-06-25 发布日期:2021-05-24
通讯作者: Wen-Jun Deng E-mail:dengwj@scut.edu.cn
基金资助:
This research was conducted under the support of the National Nature Science Foundation of China (Grant No. 51375174), the Fundamental Research Funds for Central Universities (Grant No.2017ZD024), and the Natural Science Foundation of Guangdong Province (Grant Nos. S2013050014163, 2017A030313260).

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

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

Received:2020-09-13 Revised:2020-11-02 Online:2021-06-25 Published:2021-05-24
Contact: Wen-Jun Deng E-mail:dengwj@scut.edu.cn
Supported by:
This research was conducted under the support of the National Nature Science Foundation of China (Grant No. 51375174), the Fundamental Research Funds for Central Universities (Grant No.2017ZD024), and the Natural Science Foundation of Guangdong Province (Grant Nos. S2013050014163, 2017A030313260).

摘要/Abstract

摘要： 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.

The full text can be downloaded at https://link.springer.com/article/10.1007/s40436-020-00343-w

关键词: Large strain extrusion machining (LSEM), Taguchi design, Analysis of variance (ANOVA), Average grain size, Maximum temperature

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.

The full text can be downloaded at https://link.springer.com/article/10.1007/s40436-020-00343-w

Key words: Large strain extrusion machining (LSEM), Taguchi design, Analysis of variance (ANOVA), Average grain size, Maximum temperature

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[J]. Advances in Manufacturing, 2021, 9(2): 262-272.

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

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

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