Examples of the development and application of mechanisms and machines endowed with the properties of self-adjustment (adaptation) to changing operating conditions, in particular machines for mining operations, are presented. It is shown that adaptive mechanisms and machines have a number of advantages in variable operating conditions. At the same time, the area of knowledge on the creation and use of adaptive machines and mechanisms to date, remains poorly understood. The purpose of the work is to present the concept of adaptation of mechanisms and machines to operating conditions, the Executive bodies of which work with variable loads. The results of the paper can be useful for machines and mechanisms design with self-adjusting and self-regulating characteristics. Adaptive mining tunneling, drilling machines and adaptive cutting tools reveal the concept of adaptive machines and mechanisms characteristics to changing operating conditions. The principle of operation of an adaptive drilling machine designed for drilling operations is described. It is shown that the feedback between the torque of the resistance to rotation on the drill rod and the force of the rod feeding on the face is carried out through the force-torque connections with the optional use of electronic automation tools.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.