Authors: Chitra Periyasamy
Source: Journal on Applied and Chemical Physics (article, 2026-01-10)
Field: Materials Science — Materials Chemistry

A GRA Approach For Selecting The Best Materials With The Use Of Decision Theory The process of selecting the best material for a certain application or product is known as optimal material selection in engineering and design. Mechanical qualities, cost, availability, environmental effect, and manufacturing requirements are all important considerations. The purpose for optimal material selection was to determine the material that best fits the application's performance inherent functional requirements while taking into account the limits or trade-offs associated with other materials. Engineers and designers may make informed judgments that maximize the performance, durability, as well as costeffectiveness of the finished item by carefully assessing the features and attributes of various materials. Analyzing and comparing materials based on mechanical strength, stiffness, thermal characteristics, corrosion resistance, and electrical conductivity is part of optimal material selection. Identifying the precise needs and restrictions for each application, performing a materials search finally evaluation, material testing and evaluation, and finally selecting the material which most closely matches the necessary criteria are all part of the process. To summaries, optimal material selection involves a systematic process that takes into account a variety of parameters in order to select the best material for a certain application. It helps engineers and designers to develop high-performance, low-cost products that meet the specified functional requirements and standards. The research significance of optimal material selection lies in its ability to inform and guide engineers and designers in making informed decisions about material choices for various applications. the research on optimal material selection is significant as it empowers engineers, designers, and businesses to make informed decisions that enhance product performance, reduce costs, promote sustainability, drive innovation, and improve industry competitiveness.[1] The GRA approach is commonly used to choose the best optimal material selection. Take as Alternative parameters for “Low strength steels, High strength steels, Advanced high strength steels, Ultra-high strength steels, Stainless steels, Aluminumalloy7×××series, Aluminumalloy6×××series, Aluminumalloy5×××series, Aluminum extrusion profiles, cast aluminum, Magnesium alloy, Ti alloy, Thermo plastic sting plastics (PP), Thermo setting plastics (UP), Carbon fiber/epoxy Composites, S-glass fiber /epoxy Composites”. Taken as Evaluation parameters for Density, Modulus of elasticity, Yield, Strength tensile strength, and Corrosion resistance. From the result it is seen that Carbon fiber/epoxy Composites got highest rank whereas Magnesium alloy got lowest rank According to the results, Carbon fiber/epoxy Composites was ranked first. Material selection ; Process (computing) ; Selection (genetic algorithm) ; Variety (cybernetics) ; Product (mathematics) ; Product design ; Best practice ; New product development Material Selection and Properties ; Machine Learning in Materials Science ; Metallurgical and Alloy Processes