Wengang Hu
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Wengang Hu has a total of 61 co-authors. Here are the top co-authors by number of shared publications:
Huiyuan Guan
Nanjing Forestry Univ, Coll Furnishings & Ind Design, Dept Furniture Design, Nanjing, Peoples R China
6 shared publications- Jilei Zhang
Department of Sustainable Bioproducts, Mississippi State University, Starkville, MS 39762, USA
5 shared publications Jilei Zhang
Department of Sustainable Bioproducts, Mississippi State University, Mississippi State, USA
4 shared publicationsMengyao Luo
College of Furnishings and Industrial Design, Nanjing Forestry University
3 shared publicationsNa Liu
Nanjing Forestry University
3 shared publications- Runzhong Yu
College of Electrical and Information, Heilongjiang Bayi Agricultural University, Daqing, People’s Republic of China
3 shared publications
Latest Publications
- 14 February 2026
- Published by Springer Nature in Wood Science and Technology
- Vol. 60 (2) , 34
Effects of cycle load amplitude and count on fatigue damage progression in wooden furniture mortise-and-tenon joints quantified using porosity, fit, friction coefficient, and direct withdrawal load resistance
- 14 February 2026
- Published by Springer Nature in Wood Science and Technology
- Vol. 60 (2) , 34
Effects of cycle load amplitude and count on fatigue damage progression in wooden furniture mortise-and-tenon joints quantified using porosity, fit, friction coefficient, and direct withdrawal load resistance
- Open Access
Effects of Cyclic Load Amplitude and Count on the Roughness and Friction Coefficient of the Round-End Wood Mortise–Tenon Joint
The fatigue of wood mortise–tenon (M–T) joints commonly results from the looseness of the joints when subjected to long-term cyclic load. It is of critical importance to comprehensively understand the fatigue of M–T joints to know what occurs in M–T joints However, fatigue evolution progression (FEP) of M–T joints has been rarely studied. This study mainly aimed to investigate the FEP of the roughness of mortise (RM) and tenon (RT), and the friction coefficient of the non-glued round-end beech wood M–T joint when subjected to cyclic load to provide basic data for numerically modelling the FEP of the M–T joint. The effects of cyclic load amplitude (CLA) (150 N, 200 N, 250 N, and 300 N) and cyclic load count (CLC) (25%, 50%, 75%, and 100% fatigue life) on RM, RT, and the friction coefficient were investigated. The results demonstrate that the CLA and CLC have significant effects on RM, RT, and the friction coefficient of the M–T joint. The RM, RT, and friction coefficient of the M–T joint decrease non-linearly as the CLA and CLC increase, complying with the power law function. The RM, RT, and friction coefficient of M–T joints are reduced by a large margin within the CLC of the initial 25% fatigue life, and these reductions decelerate from a CLC of 75% to 100% for all CLAs. The relationships between the friction coefficient and RM and RT at each CLA can be well fitted by a quadratic model during FEP. This study provides a new insight to comprehensively understand the FEP of the round-end M–T joint and supplies basic data for numerically modelling the FEP of the M–T joint.
Open AccessEffects of Cyclic Load Amplitude and Count on the Roughness and Friction Coefficient of the Round-End Wood Mortise–Tenon Joint
The fatigue of wood mortise–tenon (M–T) joints commonly results from the looseness of the joints when subjected to long-term cyclic load. It is of critical importance to comprehensively understand the fatigue of M–T joints to know what occurs in M–T joints However, fatigue evolution progression (FEP) of M–T joints has been rarely studied. This study mainly aimed to investigate the FEP of the roughness of mortise (RM) and tenon (RT), and the friction coefficient of the non-glued round-end beech wood M–T joint when subjected to cyclic load to provide basic data for numerically modelling the FEP of the M–T joint. The effects of cyclic load amplitude (CLA) (150 N, 200 N, 250 N, and 300 N) and cyclic load count (CLC) (25%, 50%, 75%, and 100% fatigue life) on RM, RT, and the friction coefficient were investigated. The results demonstrate that the CLA and CLC have significant effects on RM, RT, and the friction coefficient of the M–T joint. The RM, RT, and friction coefficient of the M–T joint decrease non-linearly as the CLA and CLC increase, complying with the power law function. The RM, RT, and friction coefficient of M–T joints are reduced by a large margin within the CLC of the initial 25% fatigue life, and these reductions decelerate from a CLC of 75% to 100% for all CLAs. The relationships between the friction coefficient and RM and RT at each CLA can be well fitted by a quadratic model during FEP. This study provides a new insight to comprehensively understand the FEP of the round-end M–T joint and supplies basic data for numerically modelling the FEP of the M–T joint.
- Open Access
Development of Formulas Predicting Bending Moments of Elastic–Plastic and Bi-Modular-Layered Particleboards
Four mechanical models were proposed to derive formulas predicting the bending moment capacities of layered particleboard under simply supported center-loading. Experimental validation confirmed these models are effective tools for describing the bending moment development process, including proportional limit, yield, and ultimate points. With predicted and experimental ratios ranging from 0.88 to 1.04, Model 4 can reasonably predict the ultimate bending moment capacity of elastic–plastic and bi-modular-layered particleboard materials. Photo-elastic testing revealed neutral axis shifting toward the compressive side, resulting from the face layer’s significantly higher mean modulus of elasticity in compression than in tension. Additionally, the core material above the centerline of PB thickness contributed to tensile resistance. The proposed mechanical models require inputs such as the tensile and compressive strengths and thickness of each layer, accounting for the asymmetric strength profile and neutral axis shifting. The main conclusion was that the bending moment resistance of the particleboard depends on the combined effect of tensile and compressive strengths of all layers. A 3D plot visualized the PB’s mechanical design space, displaying feasible tensile–compressive strength combinations of particleboard layers. This enables determination of optimal strength properties for each layer. For M2 grade particleboard, the most cost-effective design occurred when the face layer reached a 5.38 MPa tensile strength, with the compressive strength ranging between 13.00 and 18.59 MPa.
Open AccessDevelopment of Formulas Predicting Bending Moments of Elastic–Plastic and Bi-Modular-Layered Particleboards
Four mechanical models were proposed to derive formulas predicting the bending moment capacities of layered particleboard under simply supported center-loading. Experimental validation confirmed these models are effective tools for describing the bending moment development process, including proportional limit, yield, and ultimate points. With predicted and experimental ratios ranging from 0.88 to 1.04, Model 4 can reasonably predict the ultimate bending moment capacity of elastic–plastic and bi-modular-layered particleboard materials. Photo-elastic testing revealed neutral axis shifting toward the compressive side, resulting from the face layer’s significantly higher mean modulus of elasticity in compression than in tension. Additionally, the core material above the centerline of PB thickness contributed to tensile resistance. The proposed mechanical models require inputs such as the tensile and compressive strengths and thickness of each layer, accounting for the asymmetric strength profile and neutral axis shifting. The main conclusion was that the bending moment resistance of the particleboard depends on the combined effect of tensile and compressive strengths of all layers. A 3D plot visualized the PB’s mechanical design space, displaying feasible tensile–compressive strength combinations of particleboard layers. This enables determination of optimal strength properties for each layer. For M2 grade particleboard, the most cost-effective design occurred when the face layer reached a 5.38 MPa tensile strength, with the compressive strength ranging between 13.00 and 18.59 MPa.
- 1 August 2025
- Published by BioResources in BioResources
- Vol. 20 (4)
Aesthetic preferences of Minnan folk wooden altar table
The Minnan region in China boasts a rich religious culture, giving rise to the distinctive Minnan folk wooden altar table (MFWAT). This study investigated the MFWAT’s artistic characteristics and aesthetic preferences using Kansei Engineering (KE) and eye tracking (ET). The Semantic Differential (SD) method assessed perceptual evaluations, while eye tracking (ET) tests analyzed design elements via heat maps and areas of interest (AOI). Preference ratings complemented the objective measures. Factor analysis indicated that perceptual imagery comprised two principal components: stable-lightweight/dignified-relaxed and simple-complex/ceremonial-practical. Eye movement metrics showed decorative components (AOI-3) attracted significantly more attention than leg-foot (AOI-2) and panel components (AOI-1). Sample GA1 achieved the highest preference score, supporting the eye tracking (ET) findings. Decorative components were the most dominant elements. This integration of subjective and objective methods revealed MFWAT’s aesthetic characteristics and provides references for modern wooden furniture’s innovative design.
- 1 August 2025
- Published by BioResources in BioResources
- Vol. 20 (4)
Aesthetic preferences of Minnan folk wooden altar table
The Minnan region in China boasts a rich religious culture, giving rise to the distinctive Minnan folk wooden altar table (MFWAT). This study investigated the MFWAT’s artistic characteristics and aesthetic preferences using Kansei Engineering (KE) and eye tracking (ET). The Semantic Differential (SD) method assessed perceptual evaluations, while eye tracking (ET) tests analyzed design elements via heat maps and areas of interest (AOI). Preference ratings complemented the objective measures. Factor analysis indicated that perceptual imagery comprised two principal components: stable-lightweight/dignified-relaxed and simple-complex/ceremonial-practical. Eye movement metrics showed decorative components (AOI-3) attracted significantly more attention than leg-foot (AOI-2) and panel components (AOI-1). Sample GA1 achieved the highest preference score, supporting the eye tracking (ET) findings. Decorative components were the most dominant elements. This integration of subjective and objective methods revealed MFWAT’s aesthetic characteristics and provides references for modern wooden furniture’s innovative design.
- 30 June 2025
- Published by Taylor & Francis in Wood Material Science & Engineering
- Vol. 21 (5) , 1-7
Experimental study on effects of the selected load parameters on fatigue life of the mortise-and-tenon furniture joint
- 30 June 2025
- Published by Taylor & Francis in Wood Material Science & Engineering
- Vol. 21 (5) , 1-7
Experimental study on effects of the selected load parameters on fatigue life of the mortise-and-tenon furniture joint
- 26 May 2025
- Published by Springer Nature in Wood Science and Technology
- Vol. 59 (4) , 1-21
Damage zone analysis and its effect on the elastic constants of beech blocks with different grain orientations under compression
- 26 May 2025
- Published by Springer Nature in Wood Science and Technology
- Vol. 59 (4) , 1-21
Damage zone analysis and its effect on the elastic constants of beech blocks with different grain orientations under compression
- 16 December 2024
- Published by Society of Wood Science and Technology
- Vol. 56 (4) , 207-221
Grain Angle Effects on Acoustic Emission Characteristics of Southern Yellow Pine Columns Under Compression
This study investigated the influence of wood grain angle (0, 10, 20, 30, 45, 60, 75, and 90 degrees) on acoustic emission (AE) characteristics of southern yellow pine columns subjected to compressive loading. Four AE parameters considered were counts, cumulative counts, count rate, and amplitude. The main conclusion was that AE cumulative counts versus time curves can be characterized with three distinct stages in terms of AE count rates: initiation, growth, and acceleration. The initiation stage had a constant mean count rate of 0.33 counts/s compared to the growth stage mean count rate of 19.10 counts/s, while the acceleration stage had a mean count rate of 608.40 counts/s. Within each stage, count rates increased as grain angle increased from 0 to 30 degrees, then dropped as grain angle further increased to 90 degrees. Maximum AE counts and total cumulative AE counts all increased as grain angle increased from 0 to 30 degrees and decreased as grain angle further increased to 90 degrees. Higher AE amplitudes were observed in the yield and failing stages of tested wood columns according to their stress-strain curves plotted together with their corresponding amplitude-time curves. Maximum amplitude increased as grain angle increased from 0 to 20 degrees, then had a decreasing trend as grain angle increased to 45 degrees, followed by an increasing trend as grain angle increased to 75 degrees. These differences in AE characteristics suggested that AE “signatures” in terms of AE signals do exist for timber materials when subjected to compressive loading.
- 16 December 2024
- Published by Society of Wood Science and Technology
- Vol. 56 (4) , 207-221
Grain Angle Effects on Acoustic Emission Characteristics of Southern Yellow Pine Columns Under Compression
This study investigated the influence of wood grain angle (0, 10, 20, 30, 45, 60, 75, and 90 degrees) on acoustic emission (AE) characteristics of southern yellow pine columns subjected to compressive loading. Four AE parameters considered were counts, cumulative counts, count rate, and amplitude. The main conclusion was that AE cumulative counts versus time curves can be characterized with three distinct stages in terms of AE count rates: initiation, growth, and acceleration. The initiation stage had a constant mean count rate of 0.33 counts/s compared to the growth stage mean count rate of 19.10 counts/s, while the acceleration stage had a mean count rate of 608.40 counts/s. Within each stage, count rates increased as grain angle increased from 0 to 30 degrees, then dropped as grain angle further increased to 90 degrees. Maximum AE counts and total cumulative AE counts all increased as grain angle increased from 0 to 30 degrees and decreased as grain angle further increased to 90 degrees. Higher AE amplitudes were observed in the yield and failing stages of tested wood columns according to their stress-strain curves plotted together with their corresponding amplitude-time curves. Maximum amplitude increased as grain angle increased from 0 to 20 degrees, then had a decreasing trend as grain angle increased to 45 degrees, followed by an increasing trend as grain angle increased to 75 degrees. These differences in AE characteristics suggested that AE “signatures” in terms of AE signals do exist for timber materials when subjected to compressive loading.