Improvement of Production Efficiency of Tapered Roller Bearing by Using Plant Simulation

Abstract

The aim of this article is to create a simulation model of specific production system in Plant Simulation environment. The main production program that we monitor in this article is focused on the production of tapered roller bearings. Types of produced products are wide; therefore we focus attention on a material flow of one particular dimensional type of bearing. This article is divided into five parts. In the first part there is a theoretical overview of utilization of the system module Plant Simulation. The second part is focused on product that will be used for simulation process, concretely tapered roller bearing 32303A. Third part deals with analysis of simulated system model in Plant Simulation. Fourth section is oriented on proposal of monitored production system optimization in Plant Simulation and final fifth part is about benefits evaluation of the proposed solution.

Особенности Иерархической Структуры Объектов В Имитационных Моделях Больших Производственных Систем

“…Ю. Гусев, Ю. С. Скрипченко, Ю. М. Школьникова купность подсистем, деятельность которых направлена на достижение общей цели [1]. В работах современных ученых неоднократно исследовалось применение имитационного моделирования для исследования производственных систем [2,3,4]. Также проводились исследования наиболее перспективных программных средств имитационного моделирования производственных систем [5,6].…”

Diagnosis of Bearing Damage in Mechanical Equipment Combining Fuzzy Logic Variable Phase Layered Algorithm

“…With the constant progress of the social economy, the demand for the quantity and quality of equipment in the industry, as an important sector supporting the national economy, has also continuously increased [1][2][3]. As an essential part of many mechanical devices and equipment, bearings directly affect the safe, stable, and efficient operation of mechanical equipment.…”

“…At present, there are relatively many methods for diagnosing bearing faults. For example, based on the analysis of vibration signals, the vibration signals often show nonlinearity, so nonlinear analysis methods are of higher practical significance than linear analysis methods in extracting fault information due to the complexity of the mechanical system [3][4][5][6][7][8]. In recent years, many nonlinear analysis methods have been used to the feature extraction of bearing vibration signals, such as approximate entropy, sample entropy, permutation entropy, and multiscale entropy [9][10].…”

Empirical Model of Discretized Copper Ore Flow Within the Underground Mine Transport System

“…One of such tools, the FlexSim package [1][2][3], was recently applied in various branches of industry. These include simulating the process of mass customization of products [4], performance improvement of airport security control system [5,6], fully-automatic sorting system design [7], dynamic redesign of the production system [8], lot sizing optimization [9], order batching algorithm for pick-and-pass system [10], production logistics optimization [11], production of tapered roller bearings [12], supply chain management [13][14][15], mixed line production in automotive sector [16] or implementation of lean manufacturing system in printing facility [17].…”