Abstract
Abstract. The technological process of manufacturing mechanical engineering products using metal-cutting machines is a structurally complex process. This process can be described by the combination of two types of actions: the working stroke, which results in a change in the structure and properties of the workpiece, and an auxiliary transition, the task of which is to prepare the technological system for the execution of the working process. The execution 
 of auxiliary transitions does not entail a change in the structure and properties of the product, but leads to an increase in the complexity of its manufacture, therefore, increasing the efficiency of technological processes of mechanical processing largely depends on optimizing the complexity of performing a complex of auxiliary transitions. The purpose of the work is to develop a model for optimizing the parameters of a complex of auxiliary transitions for machining operations. The structure of the control object “Technological system” is described, within which two subcategories of control objects are defined: the control object “Technological equipment” and the control object “Wearable equipment”. Hypergraphs of changes in their intermediate states are presented for these subcategories of control objects. According to the presented models, the subcategory of the control object “Technological equipment” has 4 levels of control, the subcategory of the control object “Wearable tooling” has 3 levels of control. Lists of single and vector optimization criteria have been formed for the intermediate states of control objects. A description of a set of actions for the transition of control objects from the (i – 1) state to thei-estate is presented. A list of control parameters has been defined for each subcategory of the control object. The use of the presented model contributes to increasing the efficiency of the technological process by optimizing the values of the parameters of the complex of auxiliary actions at the stage of technological preparation of production.
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More From: Vestnik of Astrakhan State Technical University. Series: Management, computer science and informatics
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