Patterns of the influence of technological parameters on the integrated resource efficiency index of manufacturing oak furniture blanks using CNC equipment
DOI:
https://doi.org/10.36930/42265209Keywords:
oak wood; furniture blanks; CNC equipment; longitudinal milling; resource efficiency; integrated resource efficien-cy index; mathematical modelling; design of experiments; regression model; machining parameters; material effi-ciency; machining time efficiencyAbstract
The paper presents the results of experimental and theoretical research into the influence of machining parameters on the integrated resource efficiency index of manufacturing oak furniture blanks using modern computer numerical control (CNC) equipment. The relevance of the study is determined by the need to improve raw material utilization, reduce machining time, and implement resource-efficient technologies in furniture manufacturing in accordance with the principles of sustainable production and digital transformation of the woodworking industry. Unlike conventional approaches that mainly evaluate individual indicators such as surface quality, productivity, or energy consumption, the proposed approach introduces an integrated resource efficiency index combining material efficiency and machining time efficiency into a single comprehensive criterion. The aim of the study was to determine the patterns of the influence of total milling allowance and feed rate during longitudinal milling on the integrated resource efficiency index by developing a second-order mathematical model and identifying rational machining parameters for CNC equipment. Experimental investigations were carried out using a full factorial design with two independent variables and five repetitions for each experimental point. Statistical processing of the obtained data included regression analysis, analysis of variance, and experimental design methods. The research resulted in the development of an adequate second-order mathematical model in both coded and natural variables. Statistically significant relationships between technological parameters and the integrated resource efficiency index were established. The results demonstrated that the total milling allowance is the dominant factor affecting overall resource efficiency, while the feed rate primarily influences machining time efficiency. The highest values of the integrated resource efficiency index were achieved at a total milling allowance of 2.0–2.5 mm and a feed rate of 40–45 m/min. The scientific novelty of the research consists in the development of an integrated resource efficiency index for evaluating woodworking processes and in establishing mathematical relationships describing its dependence on technological machining parameters. The practical significance lies in the possibility of applying the proposed mathematical model to optimize CNC machining conditions, reduce timber losses, decrease machining time, improve production efficiency, and support decision-making during technological process planning in furniture manufacturing
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