Application of Design of Experiment (DOE) methods in materials engineering and construction
Keywords:
DOE; regression models; ANOVA; full factorial designs; response surface methodologyAbstract
Design of Experiments (DOE) is a key tool for the efficient and accurate analysis of technological processes in materials and structural engineering. Unlike traditional single-factor approaches, DOE enables the simultaneous evaluation of multiple variables and their interactions on the mechanical properties of materials and structural elements, while also allowing for comprehensive process optimization. This paper presents the benefits of DOE methods and the basic experiment design phases, from defining the research problem to mathematical modeling and assessment of model fit. In the following section, selected types of DOE plans are discussed, and a literature review is presented that outlines their applications in materials and structural engineering, including welding processes and composite design. The literature analysis indicates that DOE is an effective method and tool for optimizing technological process parameters, predicting material properties, and improving existing processes, including techniques for joining metal structural components.
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