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Sustainable Natural Materials for Engineering Application (Volume II)
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Sustainable Natural Materials for Engineering Application (Volume II)

A special issue of Materials (ISSN 1996-1944). This special issue belongs to the section "Biomaterials".

Deadline for manuscript submissions: closed (20 July 2023) | Viewed by 1362

Special Issue Editor

Prof. Dr. Antonios Papadopoulos

E-Mail Website
Guest Editor
Laboratory of Wood Science, Chemistry and Technology, Department of Forestry and Natural Environment, School of Geotechnical Sciences, International Hellenic University, Thermi, Greece
Interests: wood; wood composites; lignocellulosic materials; chemical and thermal modification technologies; nanotechnology and nanomaterilas; adhesives
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue on ‘Sustainable Natural Materials for Engineering Applications’ addresses the latest progress in the science and technology of natural material applications. Their recent increase in relevance in modern industry and science results from global industrial development, but also from efforts to protect the natural environment, including the implementation of energy-saving solutions and clean technologies. This Special Issue of Materials focuses on current scientific and technological progress in the manufacturing of natural materials and products. Topics of interest include the mechanical and structural properties of composites and their constituent materials; experimental and theoretical studies relating to composites; the manipulation of properties through manufacturing and processing; modeling and simulations; microscopic and macroscopic behavior; and performance verification techniques. This collection will be a source of new ideas for the design, research, and use of sustainable natural materials in engineering applications.

Prof. Dr. Antonios Papadopoulos
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Materials is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • engineering materials
  • lignocellulosic composites
  • mechanical performance

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Published Papers (1 paper)

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Research

22 pages, 3479 KiB  
Article
An Improved Optimization Model to Predict the MOR of Glulam Prepared by UF-Oxidized Starch Adhesive: A Hybrid Artificial Neural Network-Modified Genetic Algorithm Optimization Approach
by Morteza Nazerian, Jalal Karimi, Hossin Jalali Torshizi, Antonios N. Papadopoulos, Sepideh Hamedi and Elham Vatankhah
Materials 2022, 15(24), 9074; https://doi.org/10.3390/ma15249074 - 19 Dec 2022
Cited by 2 | Viewed by 1468
Abstract
The purpose of the present article is to study the bending strength of glulam prepared by plane tree (Platanus Orientalis-L) wood layers adhered by UF resin with different formaldehyde to urea molar ratios containing the modified starch adhesive with different NaOCl concentrations. Artificial [...] Read more.
The purpose of the present article is to study the bending strength of glulam prepared by plane tree (Platanus Orientalis-L) wood layers adhered by UF resin with different formaldehyde to urea molar ratios containing the modified starch adhesive with different NaOCl concentrations. Artificial neural network (ANN) as a modern tool was used to predict this response, too. The multilayer perceptron (MLP) models were used to predict the modulus of rapture (MOR) and the statistics, including the determination coefficient (R2), root mean square error (RMSE), and mean absolute percentage error (MAPE) were used to validate the prediction. Combining the ANN and the genetic algorithm by using the multiple objective and nonlinear constraint functions, the optimum point was determined based on the experimental and estimated data, respectively. The characterization analysis, performed by FTIR and XRD, was used to describe the effect of the inputs on the output. The results indicated that the statistics obtained show excellent MOR predictions by the feed-forward neural network using Levenberg–Marquardt algorithms. The comparison of the optimal output of the actual values obtained by the genetic algorithm resulting from the multi-objective function and the optimal output of the values estimated by the nonlinear constraint function indicates a minimum difference between both functions. Full article
(This article belongs to the Special Issue Sustainable Natural Materials for Engineering Application (Volume II))
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