Methods of formation of receptor (voxel) geometric models for automated layout tasks

5Citations
Citations of this article
5Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

In the framework of design automation, the capabilities of receptor (voxel) geometric models in the tasks of automated layout are shown. Being one of the methods of discrete geometric descriptions of composable objects, they make it possible not only to easily determine cases of their mutual intersection, but also to form intelligent composition algorithms (for example, traces). However, the receptor models are inherently in-machine themselves, which significantly complicates their use. At the same time, modeling composable objects by means of CAD systems (AutoCAD, SolidWorks, KOMPAS, Autodesk Inventor, etc.) presents no difficulty. The article shows the possibility of converting a solid-state model made in any of the existing CAD systems into a receptor one. This allows you to continue using this receptor model as the source for the subsequent operations of computer-aided design layout, taking into account additional factors. In our case, this is the definition of the possibility of delivering bulky objects, among others previously placed, which act as areas of prohibition in our case. The practical value of this study is to assess the possibility of moving super-large cargo along the construction site, assessing the ergonomic design of mechanical, electromechanical, airconditioning and other auxiliary equipment of civil and industrial buildings for ease of installation and subsequent maintenance. An algorithm implemented in the form of a macro CAD-system is described: The formation of a receptor model of a relocatable or assembly equipment based on its solid-state model.

Cite

CITATION STYLE

APA

Tun, Y. W., & Markin, L. V. (2019). Methods of formation of receptor (voxel) geometric models for automated layout tasks. In IOP Conference Series: Materials Science and Engineering (Vol. 687). IOP Publishing Ltd. https://doi.org/10.1088/1757-899X/687/4/044050

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free