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Featured researches published by Zijian Zhao.


Drying Technology | 2016

Reducing wood drying time by application of ultrasound pretreatment

Zhengbin He; Yu Zhang; Zhenyu Wang; Zijian Zhao; Songlin Yi

ABSTRACT Industrial wood is typically dried artificially after felling. The drying process is often very lengthy and consumes a large amount of energy, however, and inappropriate drying schedule can cause defects in the wood. Pretreatments such as ultrasound show the potential to reduce wood drying time without impacting quality. This study investigated the influence of ultrasound pretreatment on vacuum drying behavior, hydroxyl content, and microstructural properties of fast-growing wood samples. Pretreatments were performed at ultrasound intensity of 10 W cm−2 and frequencies of 28 and 40 kHz, respectively, for 30, 60, and 90 min, respectively, then pretreated samples were dried at 40°C temperature under absolute pressure of 0.08 MPa. Results showed that ultrasound pretreatment did shorten the wood vacuum drying time, increase effective water diffusivity, open water channels, decompose wood extractives, and decrease hydroxyl content. In effect, ultrasound pretreatment can be applied to successful reduce wood drying time.


Maderas-ciencia Y Tecnologia | 2014

Effect of ultrasound pretreatment on wood prior to vacuum drying

Zhengbin He; Zijian Zhao; Fei Yang; Songlin Yi

The influence of ultrasonic pretreatment prior to vacuum drying of Chinese fir specimens was examined in this work. In the pretreatments, wood samples were immerged in a distilled water bath and were treated using two wave frequencies for four different elapsed times to investigate effects of ultrasonic frequency and treatment duration. Then the wood samples were vacuum-dried at 80°C and absolute pressure of 0,05 MPa. After the pretreatment, microscopic analysis was carried out on the wood samples to check micro-cracks, the loss of extractives from the cell walls and other micro-structural changes on the wood. Results show that the ultrasonic treatment prior to vacuum drying significantly shortened the wood drying time. The drying time decreased with increase in the wave frequency and the treatment time. Furthermore, ultrasound pretreatment tended to reduce the content of extractives in the wood cell walls and cause cell-wall micro-cracking.


Ultrasonics Sonochemistry | 2017

Influence of ultrasound-assisted extraction on the pyrolysis characteristics and kinetic parameters of eucalyptus

Zhenyu Wang; Zhengbin He; Zijian Zhao; Songlin Yi; Jun Mu

In this study, the influence of ultrasound-assisted extraction on eucalyptus samples with special focus on pyrolysis characteristics and kinetic parameters was explored. Ultrasound and Soxhlet extraction were used to pretreat samples respectively, then samples were assayed by component analysis, TG-FTIR, and kinetic analysis. Ultrasound-assisted extraction did change the physiochemical characteristics of eucalyptus samples, particularly in regards to the quantity of extractives obtained. In TG and DTG curves, ultrasound-extracted samples reflected lower residual weight ratio (17.77%) and higher maximum weight loss rate (-22.92%/min), and were accompanied by a slight shift in the weight loss rate peak to lower temperature (366°C). The volatiles produced during pyrolysis and the discrepancies of product distribution between experimental and controlled groups were explored based on TG-FTIR spectra. According to kinetic analysis results, ultrasound-treated samples showed higher activation energy at the primary portion of thermal degradation with an average of 206.09kJ/mol.


Forest Products Journal | 2016

Heat Transfer Characteristics during Superheated Steam Vacuum Drying of Poplar

Zhengbin He; Shu Qiu; Yu Zhang; Zijian Zhao; Songlin Yi

Abstract Superheated steam vacuum drying shows major advantages in terms of reducing the boiling point of water and speeding up the drying process, but to our knowledge, no researcher has addressed the effects of drying conditions on heat transfer characteristics during superheated steam vacuum drying of wood. In this study, we did so using fast-growing poplar. Temperatures inside the wood were measured and the convective heat transfer coefficients calculated under temperature conditions of 35°C, 55°C, and 70°C and absolute pressures of 0.03, 0.06, and 0.1 MPa. The results of our subsequent analysis showed that the ultimate temperatures inside wood increase alongside increasing absolute pressure at the set temperature conditions and are lower than that of the drying medium. In addition, we found that convective heat transfer coefficients increase as absolute pressure increases at the set temperatures and also increase as temperature increases at set absolute pressure conditions. We then established a conv...


Ultrasonics Sonochemistry | 2017

Influence of ultrasound pretreatment on wood physiochemical structure.

Zhengbin He; Zhenyu Wang; Zijian Zhao; Songlin Yi; Jun Mu; Xiaoxu Wang


Results in physics | 2017

Effects of steaming treatment on crystallinity and glass transition temperature of Eucalyptuses grandis × E. urophylla

Lulu Kong; Zijian Zhao; Zhengbin He; Songlin Yi


European Journal of Wood and Wood Products | 2018

Development of schedule to steaming prior to drying and its effects on Eucalyptus grandis × E. urophylla wood

Lulu Kong; Zijian Zhao; Zhengbin He; Songlin Yi


Wood Science and Technology | 2016

The pit membrane changes of micro-explosion-pretreated poplar

Qing Ma; Zijian Zhao; Min Xu; Songlin Yi; Tianlong Wang


Bioresources | 2016

Effects of Frequency and Processing Time on the Drying Course of Ultrasound-assisted Impregnated Wood

Zijian Zhao; Qing Ma; Zhengbin He; Songlin Yi


Bioresources | 2016

Influence of Thermal Treatment Conditions on the Release of Volatile Organic Compounds from Bamboo

Wenjuan Huang; Yafeng Wu; Zijian Zhao; Songlin Yi; Zhengbin He

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Songlin Yi

Beijing Forestry University

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Zhengbin He

Beijing Forestry University

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Qing Ma

Beijing Forestry University

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Jun Mu

Beijing Forestry University

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Zhenyu Wang

Beijing Forestry University

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Tianlong Wang

Beijing Forestry University

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Yu Zhang

Beijing Forestry University

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Lulu Kong

Beijing Forestry University

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Yafeng Wu

Beijing Forestry University

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Demiao Chu

Beijing Forestry University

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