Abstract
Due to instrumentation and time constraints, it is infeasible to perform thorough research, especially experiments, for all the possible solutions, encompassing a full combination of materials with the expected mechanical and functional properties and the manufacturing technologies ensuring such properties. An objectivised selection of a material for research and its surface treatment technology is, therefore, essential in the planning phase of a materials science experiment. A methodology of computer-integrated prediction of development is dedicated to such task, enabling to perform an expert assessment and to present results thereof graphically using contextual matrices being a tool of a quantitative analysis that is very desirable in engineering circles. Considering the three groups of materials, i.e.: steels, casting magnesium alloys and casting aluminum alloys subjected to an expert assessment using a dendrological matrix being an inherent part of materials surface engineering development prediction methods, aluminum casting alloys has achieved the best position. It was further demonstrated that laser treatment is a technology of the highest potential and attractiveness in the context of applying aluminum casting alloys for surface treatment.
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