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Development of a knowledge-based system for materials management
Affiliation:1. Department of Engineering Materials, University of Southampton, Highfield, Southampton SO17 1BJ, UK;2. Department of Chemistry and Chemical Engineering, Royal Military College of Canada, Kingston, Ontario, Canada K7K 5L0;1. Department of Industrial Engineering and Management, National Chiao Tung University, Hsinchu, Taiwan.;1. College of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou 310018, China;2. School of Business, Ningbo University, Ningbo 315211, China;3. Vilnius University, 03220 Vilnius, Lithuania;4. School of Business Administration, Southwestern University of Finance and Economics, 610074 Chengdu, China;5. Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI), University of Granada, 18071 Granada, Spain;1. Department of Mechanical Engineering, Graphic Era Hill University, Dehradun, Uttrakhand, India;2. Department of Management, Graphic Era Hill University, Dehradun, Uttrakhand, India;3. Department of Mechanical Engineering, Graphic Era (Deemed to be) University, Dehradun, Uttrakhand, India;1. School of Nuclear Science and Technology, Lanzhou University, Lanzhou 730000, China;2. Laboratory of Advanced Nuclear Materials, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China;3. Division of Nuclear Materials Science and Engineering, Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
Abstract:In the past, many mistakes have been made in selecting the best materials for a given task. Thus, tools for humans to optimise the selection of materials will be valuable assets, particularly when the field of application is broad, the problem complex, the operating envelope variable, or the environment is aggressive. In this paper, a methodology for construction of a generic computer materials selector is described. A knowledge structure is presented in which materials selection and failure analysis are at opposite ends of a spectrum of materials performance. An example of the selection of a coating for marine use is given. Besides being of great value to designers, the tool is of considerable potential use for general materials information systems and computer-based learning modules.
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