Abstract
The paper presents a constructing methodology for a modern approach to tools selection and solving the problem of assigning optimal cutting parameters for specific production conditions. The mathematical formulation determining the extreme values of the technological process optimality criteria is obtained. A system of technical and economic quality indicators for cutting tools is proposed. This system allows principles’ implementation of decentralization and interoperability “Industry 4.0” via finite element modeling of the cutting process based on solving the problem of orthogonal free cutting modeling. The proposed methodology further usage is possible by creating a standardized database on the parameters of the tool: the adhesive component of the friction cutting coefficient for processing of a specific pair of cutting and tool materials (or tool coating material) and the impacts of the cutting-edge radius on cutting efficiency of a particular material.
Highlights
Introduction4.0, related to the “Internet of things” (IoT) production [1], which involves using the computer networks of physical objects, interaction with unique or virtual identifiers [2]
Received: 22 October 2021Accepted: 24 December 2021Published: 10 January 2022Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.Licensee MDPI, Basel, Switzerland.At present, the world is on the verge of the fourth industrial revolution, Industry4.0, related to the “Internet of things” (IoT) production [1], which involves using the computer networks of physical objects, interaction with unique or virtual identifiers [2]and data exchange between all production system components allowance, as well as with the external environment [3].Figure 1 shows a modern conditional model of introducing new non-food products from idea to final product
This model has several drawbacks in applying IoT, engineering processes to link to the production process
Summary
4.0, related to the “Internet of things” (IoT) production [1], which involves using the computer networks of physical objects, interaction with unique or virtual identifiers [2]. This model has several drawbacks in applying IoT, engineering processes to link to the production process (block “Management and Planning”). It does not allow full implementation of some “Industry 4.0” principles [4]. The first one is interoperability as the inability to communicate using IoT between a cyber-physical system (e.g., parts’ carriers, processing assembly stations), blocks “External developer”
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