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Pei Wang

Researcher at Shenzhen University

Publications -  176
Citations -  5343

Pei Wang is an academic researcher from Shenzhen University. The author has contributed to research in topics: Selective laser melting & Microstructure. The author has an hindex of 30, co-authored 136 publications receiving 3195 citations. Previous affiliations of Pei Wang include Central South University & Henan University.

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3D printing of ceramics: A review

TL;DR: A review on the latest advances in the 3D printing of ceramics and present the historical origins and evolution of each related technique is presented in this paper. And the main technical aspects, including feedstock properties, process control, post-treatments and energy source-material interactions, are also discussed.
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Selective laser melting of Al-Zn-Mg-Cu: Heat treatment, microstructure and mechanical properties

TL;DR: The hardness of the as-synthesized SLM material is 133 −6 HV 0.05, similar to the homogenized cast sample, and it increases to 219 −± 4 HV0.05 after the T6 heat treatment as discussed by the authors.
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Additive manufacturing of metals: Microstructure evolution and multistage control

TL;DR: In this article, the formation and binding of melt pools is studied, and a comprehensive processing map is proposed that integrates melt pool energy and geometry-related process parameters together, based on which additively manufactured microstructures are developed during and after the solidification of constituent melt pool.
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Effect of different heat treatments on the microstructure and mechanical properties in selective laser melted INCONEL 718 alloy

TL;DR: In this paper, the microstructure and tensile properties of the Inconel 718 alloy were studied in the as-printed and different heat treat conditions, and the SLM as-print microstructures exhi...
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Atanassov's Interval-Valued Intuitionistic Linguistic Multicriteria Group Decision-Making Method Based on the Trapezium Cloud Model

TL;DR: A method with Atanassov's interval-valued intuitionistic linguistic numbers (AIVILNs) based on trapezium clouds is presented, which can provide solutions to multicriteria group decision-making problems with Ataassov’s interval- valued intuitionistic linguistics information.