Abstract
In the context of the development of continuous improvement, increasing the level of quality, safety and protection of the ecological environment, it is necessary to deal with the sensitive phases of the production process and to evaluate the efficiency in terms of time and cost. In the paper, the quality of production in milling (method that is using rotary cutters to remove material) of shaped surfaces is pursued. The quality of the production process leads to the satisfaction of customer needs, and it is essential to focus on the quality/price ratio due to non-conformities. In the paper, the authors use the quality method to provide effective solutions and improve production activities, processes, and systems. This approach stands for a quality management system applied as a perpetual improvement tool, where individual activities consist of four steps: Plan, Do, Check, and Action, with returned stages developing a cycle. This cycle starts with minor to examine potential effects on systems and progresses to more extensive and precise improvements. The results of the implementation of effective solution method can be practiced for constant improvement and as a working model in developing a process or system in an organization. The different stages of the method are applied to set the path tolerance in relation to precision in 3-axis milling. The paper describes area computer numeric control milling center programming during 3-axis finishing milling. The article is focusing on setting the tolerance of tool paths during finishing milling in Computer Aided Manufacturing systems to recommend specific tolerance settings in computer aided Manufacturing systems concerning achieved accuracy, machining time, surface roughness, and quantity of blocks of machine tool control program. Finding suitable tool paths during finishing is very time-consuming and can be expensive. The aim is also to compare the practical results of machining with predicted simulation. The methodology for evaluating this problem is based on the following steps: experimental sample design for production, accuracy prediction of machined samples, production of samples using Computer Numeric Control milling center, analysis of accuracy, and surface roughness for the shape of the workpiece. The result is the variance of the shape accuracy deviations from the specified computer-aided design model of the workpiece, focusing on individual areas of its shape. The workpiece (aluminium alloy), focusing on individual areas of its shape. The research results show milled surface errors depending on the tool path tolerances. Using the effective solution method, it is possible to efficiently set up individual processes to improve the quality of production processes for time and cost.