Xingjian Wei

Mr. Xingjian Wei

Texas A&M University
orcid

Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

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

Representative Publications

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Verified
Journal Article
Open access
PDF file
ABAbhinav Bhardwaj
Abhinav Bhardwaj
Al Mazedur RahmanAl Mazedur Rahman
Al Mazedur Rahman
XWXingjian Wei
Xingjian Wei
ZJ PeiZJ Pei
ZJ Pei
DTDavid Truong
David Truong
NZNa Zou
Na Zou
It is known that 3D printing can facilitate greater design flexibility in the printing of custom shapes for packaging and construction applications using biomass–fungi composite materials. The feasibility of this new method was demonstrated by a preliminary experiment, the results of which were reported in a journal publication in 2020. As a follow-up, this paper reports on an experimental study on the relationship between the mixture composition (i.e., the psyllium husk powder content) and print quality using this new method. Four mixtures were prepared by varying the amounts of psyllium husk powder (in grams) added to 400 mL of water. The ratios (g/mL) of psyllium husk powder weight (wp) over volume of water (vw) for the mixtures were 0, 1:40, 2:40, and 3:40. Each mixture also contained 100 g of biomass–fungi material and 40 g of whole wheat flour. The print quality of the samples was evaluated based on the extrudability and shape stability. The results showed that mixtures without any psyllium husk powder were not extrudable. An increase in the ratio of psyllium husk powder to water from 1:40 to 2:40 resulted in improved print quality; however, when the psyllium husk powder to water ratio was increased to 3:40, the extrudability became worse. This phenomenon was explained by analyzing the rheological properties of the mixtures.

1 April 2021 in Manufacturing Letters
Verified
Journal Article
Closed access
MLMing Li
Ming Li
XWXingjian Wei
Xingjian Wei
ZPZhijian Pei
Zhijian Pei
CMChao Ma
Chao Ma

17 September 2020 in Journal of Manufacturing Science and Engineering
Verified
Journal Article
Closed access
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KTKetan Thakare
Ketan Thakare
XWXingjian Wei
Xingjian Wei
LJLaura Jerpseth
Laura Jerpseth
ABAbhinav Bhardwaj
Abhinav Bhardwaj
HQHongmin Qin
Hongmin Qin
ZJ PeiZJ Pei
ZJ Pei
Bioprinting has many potential applications in drug screening, tissue engineering, and regenerative medicine. In extrusion-based bioprinting, the extruded strand is the fundamental building block for printed constructs and needs to be of good quality and continuous in structure. In recent years, many studies have been conducted on extrusion-based bioprinting. However, values of process parameters leading to continuous extrusion of strands have rarely been reported. In this paper, feasible regions of bioink composition, extrusion pressure, and needle size for continuous strand extrusion have been evaluated. The information on feasible regions for extruding continuous strands, provided in this paper, can be useful in deciding appropriate extrusion pressure and needle size for the bioink of different compositions (ratios of alginate:methylcellulose) in extrusion-based bioprinting.

1 January 2022 in Manufacturing Letters
Verified
Journal Article
Closed access
JSJackson Sanders
Jackson Sanders
XWXingjian Wei
Xingjian Wei
ZPZhijian Pei
Zhijian Pei

Verified
Journal Article
Open access
PDF file
XWXingjian Wei
Xingjian Wei
ABAbhinav Bhardwaj
Abhinav Bhardwaj
LZLi Zeng
Li Zeng
ZJ PeiZJ Pei
ZJ Pei
PolyJet 3D printing can produce any color by mixing multiple materials. However, there are often large deviations between the measured color of printed samples and the target color (when the target color is used as the specified color in the printer software). Therefore, to achieve a target color on a printed sample, the specified color in the printer software should not be the same as the target color. This study applies response surface methodology (RSM) to determine the optimal color specification to compensate for color deviations of the measured color of printed samples from the target color in PolyJet 3D printing. The RSM has three steps. First, a set of experiments are designed for a target color according to central composite design. Second, the experimental data are used to develop a second-order multivariate multiple regression model to predict the deviation between the measured color and the target color. Third, the optimal color specification (often different from the target color) is determined by using the developed predictive model and the desirability function. When the optimal color specification is used as the specified color in the printer software, the deviation between the predicted color of the printed sample and the target color is minimized. The proposed method is applied to four target colors to demonstrate its effectiveness. The results show that the proposed method performs better than the conventional color specification method without compensation in achieving the four target colors by 33% on average.

11 November 2019
Verified
Conference Paper
Closed access
PDF file
JSJackson Sanders
Jackson Sanders
XWXingjian Wei
Xingjian Wei
ZJ PeiZJ Pei
ZJ Pei
The J750 PolyJet printer is the newest model of full-color and multi-material 3D printer from Stratasys. Currently, limited information is available about the effects of control factors on thermal glass transition temperature of parts printed by this printer. In this study, the effects of two control factors, printing orientation and layer thickness, on the thermal glass transition temperature (Tg) are investigated. The results suggest that both control factors significantly affect Tg. Specifically, samples printed using the high mix mode have higher elastic moduli than those printed using high quality mode. Larger values of elastic moduli directly lead to a higher thermal glass transition temperature, making the material more effective under relatively extreme temperatures and duress. These results would be valuable to researchers and practitioners who use the Polyjet 3D printer.