Xianpeng Wang

Dr. Xianpeng Wang


Research Focus & Metrics

Academic Career Length

3Years (2024-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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15 April 2024 in Herald of Polotsk State University. Series F. Civil engineering. Applied sciences
Verified
Journal Article
Open access
PDF file
XWXianpeng Wang
Xianpeng Wang
HYHaoxuan Yu
Haoxuan Yu
ESE. Sadovskaya
E. Sadovskaya
СКС. Н. Ковшар
С. Н. Ковшар
СЛС. Н. Леонович
С. Н. Леонович
ЕСЕ. А. Садовская
Е. А. Садовская
Вестник Полоцкого государственного университета. Серия F. Строительство. Прикладные науки

28 October 2024
Verified
Book Chapter
Closed access
PDF file
FLFulong Li
Fulong Li
XWXianpeng Wang
Xianpeng Wang
YLYa Liu
Ya Liu
JZJianjun Zheng
Jianjun Zheng

30 June 2026 in Engineering Research Express
Verified
Journal Article
Closed access
WBWasurat Bunpheng
Wasurat Bunpheng
KKK Kalaiarasi
K Kalaiarasi
BMBalamurugan Mani
Balamurugan Mani
RDRatchagaraja Dhairiyasamy
Ratchagaraja Dhairiyasamy
XWXianpeng Wang
Xianpeng Wang
SSSubhav Singh
Subhav Singh
Electrical discharge machining of titanium alloys requires a balanced selection of machining parameters, as high discharge intensity can improve material removal while increasing electrode wear, overcut (OC), energy consumption, and surface damage. This work investigates the sustainable EDM of Ti-6Al-4V using deionized water as the dielectric medium and copper/brass electrodes. Peak current ( I p ) , pulse-on time ( T on ) , and gap voltage ( V g ) were varied using a central composite design, and the responses were evaluated as material removal rate (MRR, m m 3 mi n − 1 ), tool wear rate (TWR, mi n − 1 ), OC ( µ m), and discharge energy (J puls e − 1 ). MRR was calculated from workpiece mass loss and titanium alloy density, while TWR was calculated from electrode mass loss, electrode density, and machining time. Response surface methodology was used for factor screening, and artificial neural network modeling was used to predict nonlinear machining responses. Particle swarm optimization was then applied, using the trained ANN as the fitness evaluator, with TLBO as the benchmark optimizer. The optimized copper-electrode condition was I p = 7 A, T on = 70 µ s, and V g = 45 V, producing MRR of 6.1 m m 3 mi n − 1 , TWR of 0.003 m m 3 mi n − 1 , and surface roughness of 1.4 µ m. SEM and wear-track analysis confirmed the need to include surface integrity and tribological response during EDM parameter selection. Future innovation will extend the quantitative range of recast-layer thickness and surface chemistry, and evaluate real-time discharge monitoring for scalable industrial EDM control.

30 October 2025 in International Journal of Multidisciplinary Research
Verified
Journal Article
Open access
PDF file
XWXianpeng Wang
Xianpeng Wang
HYHaoxuan Yu
Haoxuan Yu
KNKalinovskaya N.N.
Kalinovskaya N.N.
KSKovshar S.N.
Kovshar S.N.
The results of using reed fiber as a fibrous filler for foam concrete are presented. Thus, the workability of a concrete mixture decreases as the amount of fiber increases from 0 to 2%. In the range of fiber content from 2 to 4%, workability increases slightly, after which (at a fiber dosage of 4 to 6%) it decreases again. The maximum compressive and flexural strengths are achieved by adding 3% reed fiber and are 27.96 and 2.16 MPa, respectively. The optimal dosage of reed fiber is 2…3%. Thus, reed fiber is an effective fibrous filler for foam concrete.