Information support for modern computer-aided design of products and processes is considered in this review in accordance with the methodology of the integrated CAD/CAM/CAE system. Three levels of the management hierarchy at the design and production stages are considered. At the top (organizational) level, computer-aided design of the product structure and its manufacturing technology is performed. At the middle (coordinating) level, a binding to existing technological equipment and debugging of individual fragments of the control program are performed. At the lower (executive) level, the control program is finally created, debugged and executed. A distinctive feature of the proposed automation methodology at the design and production stages is the use of feedback from the lower level to the middle and upper levels to correct the decisions made there, taking into account the existing management powers at these levels of the hierarchy. Thus, the indicated levels of the hierarchy of the intelligent system correspond to the hierarchy of objects and subjects of management and control, taking into account the powers (and capabilities) of management and control at each level. Information is a basic category not only in information (virtual) technology for its transformation and transmission, but also in physical technology of material production in the manufacture of a corresponding material product. Such technology as a rule, contain preparatory (pre-production) and executive (implementation) stages. At the preparatory stage, a virtual product is created (an information model of a real product in the form of virtual reality), and at the executive stage, a real (physical) product appears that has a use value (possession utility). This research describes the features of information processing at both stages of production in order to increase its efficiency.
In accordance with the principles of hierarchical management, a comprehensive two-level management system is presented for the development and manufacturing of products for the stages of pre-production (the upper level of the management hierarchy) and for the actual production stage (the lower level of the management hierarchy). At the stage of pre-production, the gear grinding operation design on the “MAAG” type machines was carried out. For this purpose, a technique for optimizing the gear grinding parameters for a two dish-wheel rolling scheme has been developed, a mathematical optimization model containing an objective function with restrictions imposed on it has been created. The objective function is the gear grinding machine time, which depends on the operation parameters (gear grinding stock allowance, cutting modes, grinding wheel specification, part material) and the design features of the gears being ground (module, diameter, number of teeth, radius of curvature of the involutes). The article shows that at the stage of pre-production, the gear grinding optimization is a method of operation design. At the stage of actual production, a closed-loop automatic control system with feedback on the deviation of the adjustable value (gear grinding power) automatically supports the numerical power values that were found at the operation design stage, taking into account ensuring defect-free high-performance gear grinding (minimum number of working strokes and maximum longitudinal feeds). At this stage, i.e. when a robust longitudinal feed automatic control system is operating, the optimization carried out at the previous stage (pre-production) sets the functioning algorithm for the adaptive system with corresponding control algorithm. Thus, at the production stage (when the gear grinding machine is running), the operation optimization is a control method. Therefore, it is shown that with two-level control, the gear grinding operation optimization performs a dual function. On the one hand, it is a design method (at the pre-production stage), and on the other – a management method (at the actual production stage). With this approach, i.e. with the integration of production and its preparation based on a single two-level management, the efficiency of a single integrated design and production automation system is significantly higher due to general (unified) optimization, rather than partial one.
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