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The Effect of Process Parameters on the Springback of AZ31B Mg Alloy in Warm Incremental Sheet Forming Assisted with Oil Bath Heating

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Advances in Intelligent Data Analysis and Applications

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 253))

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Abstract

Mg alloys sheet have attracted considerable attention as one of the most promising lightweight structural materials for weight-reduction-oriented industries. However, Mg alloy sheets, such as AZ31B, exhibit extremely inferior deformation ability at room temperatures. Therefore, this paper proposes an innovative warm incremental sheet forming (WISF) assisted with oil bath heating approach to form hard-to-form metallic materials. To examine the forming quality of the developed oil bath heating approach, using springback as an estimate index, a sequence of tests have been conducted while forming AZ31B according to central composite design including response surface methodology and analysis of variance. The results indicated the innovative approach was able to form AZ31B Mg alloy sheets with great feasibility. It was also found that the forming temperature, forming angle, step depth and sheet thickness are the main significant factors affecting the springback, whereas, tool diameter much less influential roles in the individual effects of five process parameters, and reasons for those results were explained, also.

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Acknowledgements

This work was financially supported by the Science and Technology Bureau of Taiz-hou City under Grant No. 1701gy27, the Department of Science and Technology of Shaanxi Province under Grant No. 2019GY-118 and the MOE Key Laboratory of the Thermo-Fluid Science and Engineering (Xi’an Jiaotong University) under Grant No. KLTFSE2018KF03.

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Correspondence to San Zhang .

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Zhang, S., Li, K., Li, Z., Tang, G.H., Qu, J. (2022). The Effect of Process Parameters on the Springback of AZ31B Mg Alloy in Warm Incremental Sheet Forming Assisted with Oil Bath Heating. In: Pan, JS., Balas, V.E., Chen, CM. (eds) Advances in Intelligent Data Analysis and Applications. Smart Innovation, Systems and Technologies, vol 253. Springer, Singapore. https://doi.org/10.1007/978-981-16-5036-9_4

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