Xianpeng Wang
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Xianpeng Wang has a total of 21 co-authors. Here are the top co-authors by number of shared publications:
- Ratchagaraja Dhairiyasamy
Saveetha School of Engineering, Department of Electronics and Communication Engineering, Saveetha Institute of Medical and Technical Sciences (SIMATS), Saveetha University, Chennai, India
2 shared publications - Subhav Singh
Division of Research and Development, Lovely Professional University, Phagwara, India
2 shared publications - Wasurat Bunpheng
Faculty of Engineering and Technology, Shinawatra University, Samkhok, Thailand
2 shared publications - Balamurugan Mani
Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences
1 shared publication Deekshant Varshney
Centre of Research Impact and Outcome, Chitkara University
1 shared publication- Deekshant Varshney
Centre of Research Impact and Outcome, Chitkara University, Rajpura 140417, Punjab, India
1 shared publication
Latest Publications
- 30 June 2026
- Published by IOP Publishing in Engineering Research Express
- Vol. 8 (13) , 135403
Optimization of sustainable EDM parameters for machining Ti-6al-4v using ANN and PSO
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 June 2026
- Published by IOP Publishing in Engineering Research Express
- Vol. 8 (13) , 135403
Optimization of sustainable EDM parameters for machining Ti-6al-4v using ANN and PSO
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.
- Open Access
- 30 October 2025
- Published by International Institute of Management and Business in International Journal of Multidisciplinary Research
- Vol. 1 (1)
Study on the eff ect of water-cement ratio on the workability of reed fiber foam concrete
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.
- 30 October 2025
- Published by International Institute of Management and Business in International Journal of Multidisciplinary Research
- Vol. 1 (1)
Open AccessStudy on the eff ect of water-cement ratio on the workability of reed fiber foam concrete
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.
- 28 October 2024
- Published by Springer Nature
- p. 258-266
Study on Fracture Characteristics of Nanomaterials in Concrete
- 28 October 2024
- Published by Springer Nature
- p. 258-266
Study on Fracture Characteristics of Nanomaterials in Concrete
- Open Access
- 15 April 2024
- Published by Polotsk State University in Herald of Polotsk State University. Series F. Civil engineering. Applied sciences
- No. 1,p. 14-20
COMPARATIVE STUDY ON THE APPLICABILITY OF NON-METALLIC NANOFIBERS AND REED FIBERS IN CONCRETE
Вестник Полоцкого государственного университета. Серия F. Строительство. Прикладные науки
- 15 April 2024
- Published by Polotsk State University in Herald of Polotsk State University. Series F. Civil engineering. Applied sciences
- No. 1,p. 14-20
Open AccessCOMPARATIVE STUDY ON THE APPLICABILITY OF NON-METALLIC NANOFIBERS AND REED FIBERS IN CONCRETE
Вестник Полоцкого государственного университета. Серия F. Строительство. Прикладные науки