Ultrasound to estimate the physical-mechanical properties of tropical wood species grown in an agroforestry system
-
Adriano Reis Prazeres Mascarenhas
, Rafael Rodolfo de Melo
, Alexandre Santos Pimenta
, Diego Martins Stangerlin
, Fernando Luiz de Oliveira Corrêa
, Marta Silvana Volpato Sccoti
und Edgley Alves de Oliveira Paula
Abstract
The great diversity of tropical wood species makes it difficult to obtain information about their technological properties. The present work employed ultrasound to estimate the physical and mechanical properties of four wood species: African mahogany (Khaya senegalensis), ‘freijó’ (Cordia goeldiana), ‘paricá’ (Schizolobium amazonicum), and teak (Tectona grandis). Nineteen-year-old adult trees were selected and harvested from an agroforestry system (AFS) located in the Brazilian Amazon. From the harvested trees, 1.5 m logs were sawn and test specimens were obtained for physical-mechanical assays. The ultrasound propagation speed (V0) and the dynamic modulus of elasticity (Ed) were obtained from applying ultrasound longitudinally in wood samples. Values of V0 decreased from the lightest wood (paricá) to the heaviest (African mahogany), and Ed presented the opposite behavior. For the physical properties, the coefficient of determination (R2) ranged from 12 to 35% and the best linear regression models were fitted for the basic density, having V0 and Ed as independent variables. For the mechanical properties, the values of R2 varied from 18 to 63% and higher correlations were found between parallel-to-grain compression strength and Ed, and rigidity, static bending and Ed. Ultrasound presented the potential to estimate the properties of tropical wood species from the ASF.
Funding source: Executive Commission for Cocoa Crop Planning (CEPLAC)
Acknowledgments
We thank Federal University of Rondônia and Federal University of Mato Grosso for providing infrastructure and technical personnel.
Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.
Research funding: We are especially grateful to the Executive Commission for Cocoa Crop Planning (CEPLAC) for financial support and for providing the study material and infrastructure. We would also like to thank the financial support of the National Council for Scientific and Technological Development (CNPQ) for carrying out this research.
Conflict of interest statement: The authors declare no conflicts of interest regarding this article.
References
Alkadri, A., Jullien, D., Arnould, O., Rosenkrantz, E., Langbour, P., Hovasse, L., and Gril, J. (2020). Hygromechanical properties of grenadilla wood (Dalbergia melanoxylon). Wood Sci. Technol. 54: 1–29, https://doi.org/10.1007/s00226-020-01215-z.Suche in Google Scholar
Alvares, C.A., Stape, J.L., Sentelhas, P.C., Gonçalves, J.L.M., and Spavorek, G. (2013). Köppen’s climate classification map for Brazil. Meteorol. Z. 22: 711–728, https://doi.org/10.1127/0941-2948/2013/0507.Suche in Google Scholar
ASTM American Society for Testing and Materials (2014). D 143 Standard test methods for small clear specimens of timber. ASTM, Philadelphia.Suche in Google Scholar
ASTM American Society for Testing and Materials (2017). D 5536 Standard practice for sampling forest trees for determination of clear wood properties. ASTM, Philadelphia.Suche in Google Scholar
Aydin, T.Y. and Kucukkose, A. (2020). Ultrasonic testing and evaluation of moisture-dependent elastic properties of fir wood. Materials Testing 62: 1059–1064, https://doi.org/10.3139/120.111585.Suche in Google Scholar
Baar, J., Tippner, J., and Gryc, V. (2012). The influence of wood density on longitudinal wave velocity determined by the ultrasound method in comparison to the resonance longitudinal method. Eur. J. Wood Wood Prod. 70: 767–769, https://doi.org/10.1007/s00107-011-0550-2.Suche in Google Scholar
Baar, J., Tippner, J., and Rademacher, P. (2015). Prediction of mechanical properties-modulus of rupture and modulus of elasticity-of five tropical species by nondestructive methods. Maderas Cienc. Tecnol. 17: 239–252, https://doi.org/10.4067/S0718-221X2015005000023.Suche in Google Scholar
Borůvka, V., Dudík, R., Zeidler, A., and Holeček, T. (2019). Influence of site conditions and quality of birch wood on its properties and utilization after heat treatment. Part I: elastic and strength properties, relationship to water and dimensional stability. Forests 10: 189, https://doi.org/10.3390/f10020189.Suche in Google Scholar
Borůvka, V., Novák, D., and Šedivka, P. (2020). Comparison and analysis of radial and tangential bending of softwood and hardwood at static and dynamic loading. Forests 11: 896, https://doi.org/10.3390/f11080896.Suche in Google Scholar
Bouhamed, N., Souissi, S., Marechal, P., Amar, M.B., Lenoir, O., Leger, R., and Bergeret, A. (2020). Ultrasound evaluation of the mechanical properties as an investigation tool for the wood-polymer composites including olive wood flour. Mech. Mater. 148: 103445, https://doi.org/10.1016/j.mechmat.2020.103445.Suche in Google Scholar
Cavalcanti, N.M.O., Goncalves, R., Brazolin, S., Bertoldo, C., and Ruy, M. (2018). Ultrasound test for root wood elastomechanical characterization. BioResources 13: 5818–5835, https://doi.org/10.15376/biores.13.3.5818-5835.Suche in Google Scholar
Cheng, L., Wang, W., Yang, Z., and Dai, J. (2020). Establishing a dynamic elastic modulus prediction model of larch based on nondestructive testing data. BioResources 15: 4835–4850, https://doi.org/10.15376/biores.15.3.4835-4850.Suche in Google Scholar
Coelho, J.C.F., Vidaurre, G.B., da Silva, J.G.M., Almeida, M.N.F., Oliveira, R.F., Alcântara Segundinho, P.G., Alves, R.C., and Hein, P.R.G. (2020). Wood grain angles variations in Eucalyptus and their relationships to physical-mechanical properties. Holzforschung 74: 1089–1097, https://doi.org/10.1515/hf-2019-0131.Suche in Google Scholar
Corrêa, F.L.O., Ramos, J.D., Gama-Rodrigues, A.C., and Müller, M.W. (2006). Litter production in multiestrata agroforestry system in Rondônia State, Brazil. Cienc. E Agrotecnol 30: 6, https://doi.org/10.1590/S1413-70542006000600008.Suche in Google Scholar
Curtis, R.O. and Marshall, D.D. (2000). Why quadratic mean diameter? West. J. Appl. For. 15: 137–139, https://doi.org/10.1093/wjaf/15.3.137.Suche in Google Scholar
Del Menezzi, C.H.S., Silveira, R.R., and Souza, M.R.D. (2010). Predicting flexural properties of six Amazonian hardwoods using stress wave nondestructive method. Acta Amazonica 40: 325–332, https://doi.org/10.1590/S0044-59672010000200011.Suche in Google Scholar
Del Menezzi, C.H.S., Amorim, M.R., Costa, M.A., and Garcez, L.R. (2014). Evaluation of thermally modified wood by means of stress wave and ultrasound nondestructive methods. Mater. Sci. 20: 61–66, https://doi.org/10.5755/j01.ms.20.1.3341.Suche in Google Scholar
Dudík, R., Borůvka, V., Zeidler, A., Holeček, T., and Riedl, M. (2020). Influence of site conditions and quality of birch wood on its properties and utilization after heat treatment. Part II: surface properties and marketing evaluation of the effect of the treatment on final usage of such wood. Forests 11: 556, https://doi.org/10.3390/f11050556.Suche in Google Scholar
Duong, V.D., Hasegawa, M., and Matsumura, J. (2019). The relations of fiber length, wood density, and compressive strength to ultrasonic wave velocity within stem of Melia azedarach. J. Indian Acad. Wood Sci. 16: 1–8, https://doi.org/10.1007/s13196-018-0227-0.Suche in Google Scholar
Fang, S., Sun, D., Shang, X., Fu, X., and Yang, W. (2020). Variation in radial growth and wood density of Cyclocarya paliurus across its natural distribution. N. For. 51: 453–467, https://doi.org/10.1007/s11056-019-09742-9.Suche in Google Scholar
Fang, Y., Lin, L., Feng, H., Lu, Z., and Emms, G.W. (2017). Review of the use of air-coupled ultrasonic technologies for nondestructive testing of wood and wood products. Comput. Electron. Agric. 137: 79–87, https://doi.org/10.1016/j.compag.2017.03.015.Suche in Google Scholar
Fathi, H., Kazemirad, S., and Nasir, V. (2020a). Lamb wave propagation method for nondestructive characterization of the elastic properties of wood. Appl. Acoust. 171: 107565, https://doi.org/10.1016/j.apacoust.2020.107565.Suche in Google Scholar
Fathi, H., Nasir, V., and Kazemirad, S. (2020b). Prediction of the mechanical properties of wood using guided wave propagation and machine learning. Construct. Build. Mater. 262: 120848, https://doi.org/10.1016/j.conbuildmat.2020.120848.Suche in Google Scholar
Gorman, T.M., Kretschmann, D.E., Green, D.W., and Wiemann, M.C. (2018). Effect of site characteristics on juvenile wood transition in lodgepole pine in the inland northwest. Wood Fiber Sci. 50: 180–192.10.22382/wfs-2018-019Suche in Google Scholar
Güntekin, E. and Aydin, T.Y. (2016). Prediction of bending properties for some softwood species grown in Turkey using ultrasound. Wood Res. 61: 993–1002.Suche in Google Scholar
Hasegawa, M., Takata, M., Matsumura, J., and Oda, K. (2011). Effect of wood properties on within-tree variation in ultrasonic wave velocity in softwood. Ultrasonics 51: 296–302, https://doi.org/10.1016/j.ultras.2010.10.001.Suche in Google Scholar
ITTO International Tropical Timber Organization. (2018). Biennial review and assessment of the world timber situation. ITTO, Yokohama.Suche in Google Scholar
Karkoodi, S., Liaghat, G., Hosseinabadi, H.Z., and Ahmadi, H. (2020). Characterization of MDF reinforced with Al2O3 nano particles considering physical, mechanical and quasi-static properties. Wood Mater. Sci. Eng.: 1–11, https://doi.org/10.1080/17480272.2020.1768436.Suche in Google Scholar
Kloiber, M., Reinprecht, L., Hrivnák, J., and Tippner, J. (2016). Comparative evaluation of acoustic techniques for detection of damages in historical wood. J. Cult. Herit. 20: 622–631, https://doi.org/10.1016/j.culher.2016.02.009.Suche in Google Scholar
Kovryga, A., Sarnaghi, A.K., and Kuilen, J.W.G. (2020). Strength grading of hardwoods using transversal ultrasound. Eur. J. Wood Wood Prod. 78: 951–960, https://doi.org/10.1007/s00107-020-01573-2.Suche in Google Scholar
Krajewski, A., Kozakiewicz, P., and Witomski, P. (2020). Comparison of selected properties of natural aged wood and contemporary timber of Pinus sylvestris L. investigated using standard methods and measuring of transition speed of ultrasounds along the fibre. Wood Res. 65: 405–414, https://doi.org/10.37763/wr.1336-4561/65.3.405414.Suche in Google Scholar
Lasaygues, P., Arciniegas, A., Espinosa, L., Prieto, F., and Brancheriau, L. (2018). Accuracy of coded excitation methods for measuring the time of flight: application to ultrasonic characterization of wood samples. Ultrasonics 89: 178–186, https://doi.org/10.1016/j.ultras.2018.04.013.Suche in Google Scholar
Llana, D.F., Short, I., and Harte, A.M. (2020a). Use of non-destructive test methods on Irish hardwood standing trees and small-diameter round timber for prediction of mechanical properties. Ann. For. Sci. 77: 1–13, https://doi.org/10.1007/s13595-020-00957-x.Suche in Google Scholar
Llana, D.F., Íñiguez-González, G., Díez, M.R., and Arriaga, F. (2020b). Nondestructive testing used on timber in Spain: a literature review. Maderas Cienc. Tecnol. 22: 133–156, https://doi.org/10.4067/S0718-221X202000500020.Suche in Google Scholar
Mascarenhas, A.R.P., Sccoti, M.S.V., Melo, R.R., Corrêa, F.L.O., Souza, E.F.M., Andrade, R.A., Bergamin, A.C., and Müller, M.W. (2017). Physical attributes and soil carbon stocks under different land use in Rondonia State, South Western Amazonia. Pesquisa Florestal Brasileira 37: 19–27, https://doi.org/10.4336/2017.pfb.37.89.1295.Suche in Google Scholar
Melo, R.R., Barbosa, K.T., Beltrame, R., Acosta, A.P., Pimenta, A.S., and Mascarenhas, A.R.P. (2020). Ultrasound to determine physical-mechanical properties of Eucalyptus camaldulensis wood. Wood Mater. Sci. Eng. 15: 1–7, https://doi.org/10.1080/17480272.2020.1830435.Suche in Google Scholar
Micco, V., Carrer, M., Rathgeber, C.B., Camarero, J.J., Voltas, J., Cherubini, P., and Battipaglia, G. (2019). From xylogenesis to tree rings: wood traits to investigate tree response to environmental changes. IAWA J. 40: 155–182, https://doi.org/10.1163/22941932-40190246.Suche in Google Scholar
Mori, M., Hasegawa, M., Yoo, J.C., Kang, S.G., and Matsumura, J. (2016). Nondestructive evaluation of bending strength of wood with artificial holes by employing air-coupled ultrasonics. Construct. Build. Mater. 110: 24–31, https://doi.org/10.1016/j.conbuildmat.2016.02.020.Suche in Google Scholar
Müller, F., Jaeger, D., and Hanewinkel, M. (2019). Digitization in wood supply – a review on how industry 4.0 will change the forest value chain. Comput. Electron. Agric. 162: 206–218, https://doi.org/10.1016/j.compag.2019.04.002.Suche in Google Scholar
Naime, J., Mora, F., Sánchez-Martínez, M., Arreola, F., and Balvanera, P. (2020). Economic valuation of ecosystem services from secondary tropical forests: trade-offs and implications for policy making. For. Ecol. Manag. 473: 118294, https://doi.org/10.1016/j.foreco.2020.118294.Suche in Google Scholar
Olaoye, K. and Okon-Akan, O.A. (2020). Estimation of modulus of elasticity of Boscia angustifolia wood using longitudinal vibration acoustic method. Int. Wood Prod. J. 11: 1–7, https://doi.org/10.1080/20426445.2020.1738118.Suche in Google Scholar
Oliveira, F.G.R. and Sales, A. (2006). Relationship between density and ultrasonic velocity in Brazilian tropical woods. Bioresour. Technol. 97: 2443–2446, https://doi.org/10.1016/j.biortech.2005.04.050.Suche in Google Scholar
Osuna-Sequera, C., Llana, D.F., Íñiguez-González, G., and Arriaga, F. (2020). The influence of cross-section variation on bending stiffness assessment in existing timber structures. Eng. Struct. 204: 110082, https://doi.org/10.1016/j.engstruct.2019.110082.Suche in Google Scholar
Palma, S.S.A., Gonçalves, R., Trinca, A.J., Costa, C.P., Reis, M.N., and Martins, G.A. (2018). Interference from knots, wave propagation direction, and effect of juvenile and reaction wood on velocities in ultrasound tomography. BioResources 13: 2834–2845, https://doi.org/10.15376/biores.13.2.2834-2845.Suche in Google Scholar
Paranaiba, R.T., Carvalho, C.B., Paiva, R.S., Trindade, B.R., Barros, M.G., Souza, E.P., Gontijo, A.B., and Silveira, D. (2020). DNA from wood-A simple approach facing a challenging matrix – a preliminary study. Forensic Sci. Int. 314: 110371, https://doi.org/10.1016/j.forsciint.2020.110371.Suche in Google Scholar
Paul, R., Patra, S., and Banerjee, K. (2020). Socio-economic impact on vulnerability of tropical forests of Eastern Ghats using hybrid modelling. Trop. Ecol. 61: 475–486, https://doi.org/10.1007/s42965-020-00106-5.Suche in Google Scholar
Pereira, E.J.D.A.L., Ribeiro, L.C.S., Freitas, L.F.S., and Pereira, H.B.B. (2020). Brazilian policy and agribusiness damage the Amazon rainforest. Land Use Pol. 92: 104491, https://doi.org/10.1016/j.landusepol.2020.104491.Suche in Google Scholar
Qaim, M., Sibhatu, K.T., Siregar, H., and Grass, I. (2020). Environmental, economic, and social consequences of the oil palm boom. Ann. Rev. Resour. Econ. 12: 321–344, https://doi.org/10.1146/annurev-resource-110119-024922.Suche in Google Scholar
Reis, P.C.M.R., Reis, L.P., Souza, A.L.D., Carvalho, A.M.M.L., Mazzei, L., Reis, A.R.S., and Torres, C.M.M.E. (2019). Agrupamento de espécies madeireiras da Amazônia com base em propriedades físicas e mecânicas. Ciência Florest. 29: 336–346, https://doi.org/10.5902/1980509828114.Suche in Google Scholar
Rosner, S., Klein, A., Wimmer, R., and Karlsson, B. (2006). Extraction of features from ultrasound acoustic emissions: a tool to assess the hydraulic vulnerability of Norway spruce trunkwood? New Phytol. 171: 105–116, https://doi.org/10.1111/j.1469-8137.2006.01736.x.Suche in Google Scholar
Sargent, R. (2019). Evaluating dimensional stability in solid wood: a review of current practice. J. Wood Sci. 65: 1–11, https://doi.org/10.1186/s10086-019-1817-1.Suche in Google Scholar
Sales, F., Santiago, T., Biggs, T.W., Mullan, K., Sills, E.O., and Monteverde, C. (2020). Impacts of protected area deforestation on dry‐season regional climate in the Brazilian Amazon. J. Geophys. Res.: Atmos 125: e2020JD033048, https://doi.org/10.1029/2020JD033048.Suche in Google Scholar
Silva, C.E.G., Almeida, D.H., Almeida, T.H., Chahud, E., Branco, L.A.M.N., Campos, C.I., Lahr, F.A.R., and Christoforo, A.L. (2018a). Influence of the procurement site on physical and mechanical properties of Cupiúba wood species. BioResources 13: 4118–4131, https://doi.org/10.15376/biores.13.2.4118-4131.Suche in Google Scholar
Silva, D.C., Pastore, T.C., Soares, L.F., Barros, F.A., Bergo, M.C., Coradin, V.T., Gontijo, A.B., Sosa, M.H., Chacón, C.B., and Braga, J.W. (2018b). Determination of the country of origin of true mahogany (Swietenia macrophylla King) wood in five Latin American countries using handheld NIR devices and multivariate data analysis. Holzforschung 72: 521–530, https://doi.org/10.1515/hf-2017-0160.Suche in Google Scholar
Sotomayor-Castellanos, J.R. and Villasenor-Aguilar, J.M. (2016). Ultrasound and anisotropy of thuja plicata and acer saccharum wood. Maderas Cienc. Tecnol. 18: 467–476, https://doi.org/10.4067/S0718-221X2016005000042.Suche in Google Scholar
Souza, R.S., Gonçalez, J.C., Ribeiro, E.S., and Gontijo, A.B. (2019). Anatomical characteristics of Tectona grandis Lf from different sites in Mato Grosso State. Ciência Florest. 29: 1528–1537, https://doi.org/10.5902/1980509834563.Suche in Google Scholar
Srivastava, R., Mohapatra, M., and Latare, A. (2020). Impact of land use changes on soil quality and species diversity in the Vindhyan dry tropical region of India. J. Trop. Ecol. 36: 72–79, https://doi.org/10.1017/S0266467419000385.Suche in Google Scholar
Steege, H.T., Vaessen, R.W., Cárdenas-López, D., Sabatier, D., Antonelli, A., Oliveira, S.M., Pitman, N.C.A., Jorgensen, P.M., and Salomão, R.P. (2016). The discovery of the Amazonian tree flora with an updated checklist of all known tree taxa. Sci. Rep. 6: 1–15, https://doi.org/10.1038/srep29549.Suche in Google Scholar
Teles, R.F., Del Menezzi, C.H.S., Souza, F., and Souza, M.R. (2011). Nondestructive evaluation of a tropical hardwood: interrelationship between methods and physical-acoustical variables. Revista Ciência da Madeira 2: 1–14, https://doi.org/10.12953/2177-6830.v02n01a01.Suche in Google Scholar
Tiitta, M., Tomppo, L., Möttönen, V., Marttila, J., Antikainen, J., Lappalainen, R., and Heräjärvi, H. (2017). Predicting the bending properties of air dried and modified Populus tremula L. wood using combined air-coupled ultrasound and electrical impedance spectroscopy. Eur. J. Wood Wood Prod. 75: 701–709, https://doi.org/10.1007/s00107-016-1140-0.Suche in Google Scholar
Tippner, J., Hrivnák, J., and Kloiber, M. (2016). Experimental evaluation of mechanical properties of softwood using acoustic methods. BioResources 11: 503–518, https://doi.org/10.15376/biores.11.1.503-518.Suche in Google Scholar
Tumenjargal, B., Ishiguri, F., Iki, T., Takahashi, Y., Nezu, I., Otsuka, K., and Yokota, S. (2020). Clonal variations and effects of juvenile wood on lumber quality in Japanese larch. Wood Mater. Sci. Eng.: 1–10, https://doi.org/10.1080/17480272.2020.1779809.Suche in Google Scholar
Vega, M., Hamilton, M., Downes, G., Harrison, P.A., and Potts, B. (2020). Radial variation in modulus of elasticity, microfibril angle and wood density of veneer logs from plantation-grown Eucalyptus nitens. Ann. For. Sci. 77: 1–15, https://doi.org/10.1007/s13595-020-00961-1.Suche in Google Scholar
Viala, R., Placet, V., and Cogan, S. (2020). Simultaneous non-destructive identification of multiple elastic and damping properties of spruce tonewood to improve grading. J. Cult. Herit. 42: 108–116, https://doi.org/10.1016/j.culher.2019.09.004.Suche in Google Scholar
Wijk, V.K., Simpson, J., and Hitchman, S. (2019). A modified Hankinson equation for the wave speed of laser ultrasound in Radiata Pine. Wave Motion 89: 57–64, https://doi.org/10.1016/j.wavemoti.2019.03.005.Suche in Google Scholar
Wolkerstorfer, S.V., Rosner, S., and Hietz, P. (2012). An improved method and data analysis for ultrasound acoustic emissions and xylem vulnerability in conifer wood. Physiol. Plantarum 146: 184–191, https://doi.org/10.1111/j.1399-3054.2012.01605.x.Suche in Google Scholar
Yamasaki, M., Tsuzuki, C., Sasaki, Y., and Onishi, Y. (2017). Influence of moisture content on estimating Young’s modulus of full-scale timber using stress wave velocity. J. Wood Sci. 63: 225–235, https://doi.org/10.1007/s10086-017-1624-5.Suche in Google Scholar
Zeng, Y., Sarira, T.V., Carrasco, L.R., Chong, K.Y., Friess, D.A., Lee, J.S.H., Taillardat, P., Worthington, T.A., Zhang, Y., and Koh, L.P. (2020). Economic and social constraints on reforestation for climate mitigation in Southeast Asia. Nat. Clim. Change 10: 842–844, https://doi.org/10.25909/5ed71bd305a08.Suche in Google Scholar
© 2021 Walter de Gruyter GmbH, Berlin/Boston
Artikel in diesem Heft
- Frontmatter
- Original articles
- Ultrasound to estimate the physical-mechanical properties of tropical wood species grown in an agroforestry system
- Natural durability and improved resistance of 20 Amazonian wood species after 30 years in ground contact
- Cellular-level chemical changes in Japanese beech (Fagus crenata Blume) during artificial weathering
- Evaluation of water related properties of birch wood products modified with different molecular weight phenol-formaldehyde oligomers
- Superhydrophobic wood surface fabricated by Cu2O nano-particles and stearic acid: its acid/alkali and wear resistance
- Dynamic strength properties and structural integrity of wood modified with cyclic N-methylol and N-methyl compounds
- Indoor storage time affects the quality and quantity of volatile monoterpenes emitted from softwood timber
- The impact of acid hydrolysis conditions on carbohydrate determination in lignocellulosic materials: a case study with Eucalyptus globulus bark
- Improved chemical pulping and saccharification of a natural mulberry mutant deficient in cinnamyl alcohol dehydrogenase
Artikel in diesem Heft
- Frontmatter
- Original articles
- Ultrasound to estimate the physical-mechanical properties of tropical wood species grown in an agroforestry system
- Natural durability and improved resistance of 20 Amazonian wood species after 30 years in ground contact
- Cellular-level chemical changes in Japanese beech (Fagus crenata Blume) during artificial weathering
- Evaluation of water related properties of birch wood products modified with different molecular weight phenol-formaldehyde oligomers
- Superhydrophobic wood surface fabricated by Cu2O nano-particles and stearic acid: its acid/alkali and wear resistance
- Dynamic strength properties and structural integrity of wood modified with cyclic N-methylol and N-methyl compounds
- Indoor storage time affects the quality and quantity of volatile monoterpenes emitted from softwood timber
- The impact of acid hydrolysis conditions on carbohydrate determination in lignocellulosic materials: a case study with Eucalyptus globulus bark
- Improved chemical pulping and saccharification of a natural mulberry mutant deficient in cinnamyl alcohol dehydrogenase