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Research Article

Comparison of wood and knot on wear behaviour of pine timber

Samiul Kaiser1, Mohammad Salim Kaiser2,

1Department of Civil Engineering, Bangladesh University of Engineering and Technology, Dhaka-1000,
Bangladesh
2Directorate of Advisory, Extension and Research Services, Bangladesh University of Engineering and
Technology, Dhaka-1000, Bangladesh

Keywords

Abstract


Wood;

Knot;

Wear;

Friction;

SEM

The wear behaviour of the wood and knot of pine timber is evaluated at ambient conditions. The experiment is carried out under dry sliding conditions using a pin-on-disc apparatus. Wear testing parameters are chosen as 20N load, sliding velocity of 0.64 ms -1 and sliding distance ranging from 200m-4500m. The worn surfaces are characterized by optical microscope and scanning electron microscopy. Hardness of wood and knot samples is measured in Durometer hardness tester, tensile testing by an Instron testing machine and density of the samples is calculate from the data of volume and weight. The results of the wear test reveal that the knot shows the better wear properties due to higher strength and density. SEM study of the knot and wood disclose that the knot contents compact cell wall than that of wood.

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LATEST News


27/12/2022 Reviewer Awards: The winners of 2022 reviewer awards of Research on Engineering Structures and Materials (RESM) are announced. More information can be found at Reviewer Awards section. 


23/12/2022 Best Paper Award: According to the Advisory Board decision, the paper authored by Nitin Kumar, Michele Barbato, Erika L. Rengifo-López and Fabio Matta entitled as “Capabilities and limitations of existing finite element simplified micro-modeling techniques for unreinforced masonry” is awarded the 2022 Best Paper Award of Research on Engineering Structures and Materials (RESM). 

23/12/2022 Most Cited Paper Award:  According to the Editorial Board evaluation, the paper authored by Aykut Elmas, Güliz Akyüz, Ayhan Bergal, Müberra Andaç and Ömer Andaç entitled as “Mathematical modelling of drug release" is awarded the 2022 Most Cited Paper Award of Research on Engineering Structures and Materials (RESM). 


13/04/2022 Fraudulent Emails Impersonating Our Journal: We noticed that some emails are sent to some people impersonating our journal staff as sender and requesting recipients to follow some links. Our journal and staff has nothing to do with these emails and please do not follow the given links. Senders seem to have malicious aims. The emails include a portion of some of our previous emails to the journal users and researchers. This is only to deceive the receiver and make them trust the email. Do not follow any links or perform suspicious actions specified in these emails. Please, check the sender info carefully. Even the sender address or name resembles the journal related words they are different, generally in an easily noticeable way.


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LATEST AWARDS


2022 Reviewer Awards:

Please, visit Reviewer Awards section for the winners of the 2022 RESM reviewer awards.


2022 Best Paper Award:

The paper authored by Nitin Kumar, Michele Barbato, Erika L. Rengifo-López and Fabio Matta entitled as “Capabilities and limitations of existing finite element simplified micro-modeling techniques for unreinforced masonry” is awarded the 


2022 Most Cited Paper Award:

The paper authored by Aykut Elmas, Güliz Akyüz, Ayhan Bergal, Müberra Andaç and Ömer Andaç entitled as “Mathematical modelling of drug release" is awarded the


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Last Update:

02.02.2023

(dd.mm.yyyy)