QUAN LIU

Mr. QUAN LIU

orcid

Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

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

Representative Publications

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11 July 2024 in Journal of Materials Research and Technology
Verified
Journal Article
Open access
XCXiaomi Chen
Xiaomi Chen
LQLIU QUAN
LIU QUAN
QLQUAN LIU
QUAN LIU
VCValentino Anok Melo Cristino
Valentino Anok Melo Cristino
KLKin Ho LO
Kin Ho LO
CKChi Tat Kwok
Chi Tat Kwok

1 August 2014 in Journal of Alloys and Compounds
Verified
Journal Article
Closed access
XCX.P. Chen
X.P. Chen
LWL.X. Wang
L.X. Wang
RXR. Xiao
R. Xiao
XZX.Y. Zhong
X.Y. Zhong
GHG.J. Huang
G.J. Huang
QLQUAN LIU
QUAN LIU

12 February 2024 in Coatings
Verified
Journal Article
Open access
PDF file
QLQUAN LIU
QUAN LIU
XCXiaomi Chen
Xiaomi Chen
KLKun Liu
Kun Liu
VCValentino Anok Melo Cristino
Valentino Anok Melo Cristino
KLKin Ho LO
Kin Ho LO
CKChi Tat Kwok
Chi Tat Kwok
In this study, the effects of friction stir processing (FSP) parameters on the microstructure and hardness of cast Al-Si-Fe-Mg alloy were investigated. Orthogonal arrays were applied in the design of the experiments. The selected parameters for the experiments included rotation speed, transverse speed, penetration depth, and tilt angle. The microstructure and hardness of the FSPed Al-Si-Fe-Mg were studied using optical and scanning electron microscopy, and microhardness testing, respectively. The quadratic model was proposed to fit the experimental data of hardness. Signal-to-noise ratio (S/N) analysis showed the maximum hardness achieved when rotation speed, transverse speed, penetration depth, and tilt angle were chosen as 1600 rpm, 400 mm/min, 0.1 mm, and 1.5°, respectively. Taguchi’s analysis of variance (ANOVA) was used to determine the significant FSP parameters on hardness, which revealed that rotation speed was the most dominant processing parameter, followed by transverse speed, tilt angle, and penetration depth. Moreover, a quadratic polynomial model was developed to predict and optimize the combination of the parameters, enabling superior mechanical properties. Subsequently, the verification of the microstructure was conducted, demonstrating good agreement between the experimental observation of the microstructure and estimated outcomes.