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Journal PROCEEDINGS IN MANUFACTURING SYSTEMS |
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ISSN 2343–7472 ISSN-L 2067-9238 |
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Journal PROCEEDINGS IN MANUFACTURING SYSTEMS
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Volume 16, Issue 12, 2021
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Adrian MAROȘAN, George CONSTANTIN,
Design of the main unit for a modular
mobile robot
Organizational culture, a successful
element in the evolution of a company
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Alexandra-Silvia POLENA,
Miron ZAPCIU,
Modeling and simulation of a
manufacturing workshop in order to insert multifunctional workstations · Cozmin CRISTOIU, Mario IVAN,
Warm-up temperature predictions of IRB
140 robot with regression analysis
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Constantin DUMITRAȘCU, Florin Adrian NICOLESCU, Cozmin Adrian CRISTOIU,
Design of the main unit for a modular mobile robot Adrian MAROȘAN1,*, George CONSTANTIN2 2), 1)
Assist. Prof., PhD Student, Robots and Manufacturing Systems Department,
University "Politehnica" of Bucharest, Romania 2)
PhD, Prof., Robots and Manufacturing Systems Department, University
"Politehnica" of Bucharest, Romania Abstract: This paper presents the design of the main unit of a modular and re-configurable mobile platform, made of several hexagonal modules with reconfigurable locomotion systems, with conventional wheels, omnidirectional and Mecanum wheels. The main unit is the basic module that will contain the control system and the sensory system that will allow the robot to navigate and avoid obstacles with different configurations. It will also present the configuration possibilities of the platform, the interconnection system between modules with magnetic connection, which allows the realization of fast configurations, this configuration capability offers many interesting opportunities for the industrial field and for research in the field of robotics.
Organizational culture, a successful element in the
evolution of a company Elena SIMA1,* 1)
Lecturer, PhD, Machinery and industrial equipment, Faculty of Engineering,
„Lucian Blaga” University of Sibiu, Romania
Abstract: Man, always in search of his own identity, evolves and develops in a cultural space, created by him. Just as people have different personalities, organizations differ in organizational culture. Organizational culture goes beyond the values of a group, it represents the final result achieved through repeated success and not only but also through the gradual process of taking into account certain actions that have been approached as undoubted truth. Organizational culture is a force that allows the integration of the company in the environment and simultaneously ensures its specificity, stability, consistency and performance. It is very important for the organization to have a strong organizational culture and for the employees to understand and believe in it. The paper aims to present some theoretical aspects of organizational culture and then to present a successful Romanian organization specifying the fundamental values, mission, vision and products / services. For this company, the factors that influenced the organizational culture were analyzed and then, following a survey based on a questionnaire, it was desired to frame the organizational culture in a typology. From the beginning, it was known that a strict framework is not possible in reality and it was wanted to highlight the link between organizational culture, success and employee perception. The conclusions drawn from the study are mentioned and interpreted. This strong organizational culture but also the efficient management gave strength to the company and determined the good evolution even in the difficult conditions generated by the pandemic.
Modeling and simulation of a manufacturing workshop in
order to insert multifunctional workstations Alexandra-Silvia POLENA1,*, Miron ZAPCIU2 1)
PhD Student, Robots and Manufacturing Systems Dep., University "Politehnica"
of Bucharest, Bucharest, Romania 2)
Prof., PhD, Robots and Manufacturing Systems Dep., University "Politehnica"
of Bucharest, Bucharest, Romania Abstract: The paper presents the possibilities to improve the product manufacturing line processes by optimizing the manufacturing workshop surface, working time and costs, as well as the importance of simulating the manufacturing workshop in a 3D software, as a preliminary step before purchasing the equipment needed to obtain the product in efficient manufacturing conditions. Main contribution of this article is the detailed presentation of the influence of the number of parts in the batch on optimal variant of the manufacturing system.
Warm-up temperature predictions of IRB 140 robot with
regression analysis Cozmin CRISTOIU1,*, Mario IVAN2 1)
Lecturer, PhD.,
Eng., Robots and Manufacturing Systems Department, University "Politehnica"
of Bucharest, Romania 2)
Lecturer, PhD., Eng., Robots and Manufacturing Systems Department,
University "Politehnica" of Bucharest, Romania Abstract: The cold start of a robot implies a heating period in which the positioning error of the robot is greatly influenced by the thermal variations of the structural elements that suffer thermal deformations and expansions. Due to this continuous variation of the positioning deviation caused by thermal deformations, the compensation of these errors is very difficult to do because the parameters used as compensation factors should vary continuously considering several factors such as robot temperature, operating time from start or working speed of the robot. Unfortunately, the thermal behavior of robots differs from model to model, differs depending on environmental conditions and working conditions, and there can be no common general mathematical model to solve this problem. Thus, based on real measurements, a heating pattern of a robot can be identified and may be used for correction of thermal deformation errors. As a first step in finding a compensation method of these errors, the anticipation of heating curves of an articulated arm robot is presented in this paper. Regression analysis is applied on experimental temperature recordings and the equation parameters are identified for function approximation of the heating curves. Optimized overall design of a robotic arc welding cell and calculation procedures for optimal selection of IR motors Constantin DUMITRAȘCU1,*, Florin Adrian NICOLESCU2, Cozmin Adrian CRISTOIU3 1)
As. Prof. PhD., Quality Engineering and Industrial Technologies Dept.,
Politehnica University of Bucharest, Romania 2)
Professor PhD., Robots and Manufacturing Systems Dept., Politehnica
University of Bucharest, Romania 2) Lecturer PhD., Robots and Manufacturing Systems Dept., Politehnica University of Bucharest, Romania Abstract: Robotic arc welding represents one of the most important industrial applications. Following the handling applications, arc welding represents the most common industrial application summing a total of over 66 000 new robotic cells installation in 2020 year [1]. For this reason, in developing new robotic cells two approaches may be of interest presently: to use a pre-engineered robotic cell and respectively to develop a custom designed robotic cell for arc welding. Discussion on this issue regarding the involved advantages and disadvantages of each approach and conclusions are presented in the first part of the paper. Second part of the paper deals about a specific calculus algorithm developed for optimum motor selection of the industrial robots. Specific steps of calculation procedure detailed in the paper may be already used for a large number of industrial robots’ models whatever they are used for arc welding purpose or another industrial application. The application of the calculus procedure is exemplified in the paper regarding the optimum selection of the driving motors for the last three NC axis of an ABB IRB 2400 articulated arm industrial robot, but however the algorithm may be extended for the sizing and optimum selection of all IR driving motors. In the meantime, the calculus algorithm may be also used for same purpose for other IR models having similar design of the end-effector orienting sub-system. The algorithm has been intensively tested for many industrial robots’ models and the results of calculation were validated for all IR analyzed models.
Electronic mail: orgcom@icmas.eu |
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