Work preparation upgrading for machining industries based on an expanded analysis of parts design features

A methodological approach to the formation and description of data on the design and technological features of parts under technological preparation of machining industries is presented, the difference, if compared to other well-known approaches, lies in recording of additional data that is not explicitly reflected in the reference design. As an additional information component, it is proposed to use: information on the mutual influence of one elementary surface on another or others, i.e. dimensioning specifications of other surfaces; data on the dimensional features of each elementary surface, which is not shown in the drawings; extreme geometric shape deviations for elementary surfaces and also mutual arrangement between elementary surfaces; data on the design bases of the part in question. The formation of a database of machined parts is given graphically, which makes it possible to use a wide range of mathematical tools technique in the creation of formalized models, providing their uncomplicated adaptation for using in existing computer-aided design systems. The analysis of additional design and technological parameters allows assessing the interdependence of the dimensions and characteristics of each of the part surfaces and the parameters of other surfaces, ensuring the quality of decision-making at the stages of technological preparation based on increasing the degree of reliability of information flows. The obtained results expand the possibilities of conducting dimensional analysis of the basic, operational and interoperation connections of the developed technical processes, increasing the level of automation in design procedures. Produced graphical models, aimed at reducing the complexity of design actions outline, are able to expand, due to the approximation to the traditional data specification of technological equipment, the possibility of taking into account the state of production capacities in machining production on a real time scale. They also contribute to the deciding modern issues on effective engineering complexes formation.