Modeling and Optimization of Material Properties and Characteristics

Dear Colleagues,

Materials influence every dimension of our culture and contemporary lifestyle (transportation, housing, communication, recreation, food production, etc.). Throughout history, the growth and progress of civilization have been closely connected to a society's ability to create and manage materials to meet its needs. In relatively recent times, scientists have begun to comprehend the connection between the structural components of materials and their properties. This understanding, acquired over the past century or so, has allowed them to discover novel materials and determine their attributes. Consequently, thousands of materials with highly specialized properties have been developed to satisfy the demands of our contemporary society, including various forms of metals, plastics, ceramics, glass, and fibers.

Additionally, the following groups of modern materials have had the greatest impact on the efficiency, reliability and cost of new products (elements, devices, and systems) in all areas of society: composite materials, nanomaterials, smart materials, advanced materials, etc.

This means that the main task of today's engineers is the correct selection of an appropriate material for a particular application.

This task is often difficult, and requires experimental research and the determination of a mathematical model that can ascertain the dependence of material property parameters and characteristics (such as: strength, toughness, hardness, hardenability, brittleness, malleability, ductility, fatigue, plasticity, creep, resilience, total thickness reduction, aging time, aging temperature, short annealing temperature, coefficient of friction, wear, etc.) on input factors, as well as the optimization of these parameters.

This Special Issue, entitled ”Modeling and Optimization of Material Properties and Characteristics”, is the perfect opportunity for researchers to present their research on the behavior, parameters, characteristiscs and application of various materials.

The scope of this Special Issue includes, but is not limited to, the following topics:

• Theoretical and experimental studies on the material properties, characteristics, and behavior of a specific material across various applications and production conditions;
• The mathematical modeling of the parameters of material properties and characteristics across various applications and the production conditions of a specific material using regression models, artificial neural networks (ANN), and other methods;
• The application and implementation of the design of experiments (DoE) and the Taguchi method (TM) for the realization of experimental research that determines the parameters of material properties and characteristics using response surface methodology (RSM);
• The optimization of the properties and characteristics of materials across various applications and production conditions using optimization algorithms and techniques;
• The mathematical modeling and optimization of the parameters of different types of machining and additive manufacturing materials with various properties and characteristics using regression models, response surface methodology (RSM), artificial neural networks (ANN), and other methods.

Prof. Dr. Predrag Dašić
Prof. Dr. Adolfo Senatore
Dr. Alessandro Ruggiero
Guest Editors

Manuscript Submission Information

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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.

• material properties
• material characteristics
• composite materials
• nano-materials
• smart materials
• regression models
• response surface methodology (RSM)
• artificial neural networks (ANN)
• optimization algorithms
• multi‐objective optimization (MOO)