Construction of a virtual reality environment for robotic manufacturing cells

Gogouvitis, Xenofon V.; Vosniakos, George–Christopher

doi:10.1504/ijcat.2015.069331

Cited by 13 publications

(4 citation statements)

References 25 publications

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“…To improve the design quality of the feed drive system in CNC machine tools, an integrated design and analysis system is presented by Liu and Wang (2016). Construction of a virtual reality environment for robotic manufacturing cells is presented by Gogouvitis and Vosniakos (2015). Interpretation-oriented information interface for manufacturing enterprises is presented by Chen and Zhao (2016) to improve level of understanding about product life cycle as well as enterprise management.…”

Section: Review Of the Research Workmentioning

confidence: 99%

Accuracy analysis of tool deflection error modelling in prediction of milled surfaces by a virtual machining system

Soori

Arezoo

Habibi

2017

IJCAT

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Accuracy of produced parts in machining process is influenced by many errors such as tool deflection as well as geometrical deviations of machine tool structure. To increase accuracy and productivity in part manufacturing, the errors are modelled by using mathematical concepts. This paper presents an application for the virtual machining systems to analyse accuracy in modelling of tool deflection error. A virtual machining system is used to create actual parts in virtual environments. Then, a comparison for different methods of tool deflection error such as cantilever beam model of the cutting tool, Finite Element Method (FEM) of the cutting tool and workpiece and geometrical model of the cutting tool effects on the workpiece is presented to show accuracy and reliability of the methods in prediction of milled surfaces. So, capabilities and difficulties of the methods in the error modelling are presented to increase accuracy and efficiency in part manufacturing.

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Section: Review Of the Research Workmentioning

confidence: 99%

Accuracy analysis of tool deflection error modelling in prediction of milled surfaces by a virtual machining system

Soori

Arezoo

Habibi

2017

IJCAT

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“…In the last years, the 3D simulation is largely employed also for robotic work cells, to verify the behaviour of robots in flexible manufacturing cells [22]. The simulation modelling of robots was born to analyse the interactions of robots with the other objects of the manufacturing cell, including robots, and to overcome the problem of possible collisions simulating the trajectories [23].…”

Section: Frameworkmentioning

confidence: 99%

Layout and Material Flow Optimization in Digital Factory

Centobelli¹,

Cerchione²,

Murino³

2016

Int. j. simul. model.

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The ability to realize customized products, in particular for engineering-to-order companies, is a key factor in order to be competitive in modern market without incurring any additional cost and respecting customer lead time. In this ever-changing environment the layout optimization is a fundamental issue requirement, hence the development of a virtual layout, according to the Digital Factory concepts, can be very useful to identify and to solve potential problems during the planning phase, before realize it. The main aim of this paper is represented by the proposal of a layout reconfiguration and a technological solution for the parts feeding system of the industrial plant analysed in order to reduce the production lead times.In the first phase, an overview of the Digital Factory applications is provided. In the second phase, after data analysis in an Italian manufacturing company, a simulation model has been designed and tested using Simio simulation software. Simulations results concerning production and queue times obtained from different orders have been compared with actual configuration data.Research results indicate that the surveyed company has had an improvement in terms of reduction of waiting times and increase of customers satisfaction due to total production lead time reduction.

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“…11 Reports indicate the existence of VR environments that have replaced previous generation CAD-based simulators. 12 Manufacturing applications already encompass multimodal interfaces such as CAVE, Head Mounted Display (HMD), 3D haptic devices and force/acceleration sensors. 13 [Please check and provide the expansion for CAVE.]…”

Section: Introductionmentioning

confidence: 99%

Understanding industrial robot programming by aid of a virtual reality environment

Manou

Vosniakos

Matsas

2018

International Journal of Mechanical Engineering Education

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This paper reports on the construction of a virtual environment on top of a commercially available authoring platform that simulates an industrial robotic arm in pick-andplace movement scenarios. The user interface constructed follows in functionality the well-known teach pendants but exploits just a normal PC keyboard. However, both forward and inverse kinematics is served allowing the user to command movements in either the joint or the tool coordinate system. Perception pertaining to picking and placing movements and in particular the subtle docking positions was enhanced by adding so-called perceptual aids consisting of auxiliary objects with collision detection capabilities. The application was put to test by a group of practitioner-trainees who reported favourably, using a structured questionnaire, on its merits in enhancing their understanding of the robot's capabilities, its kinematics, as well as the task performance strategy. Thus, confidence is increased regarding the ability of Virtual Reality-based platforms to contribute to successful training regarding programming and manipulation of industrial equipment.

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Construction of a virtual reality environment for robotic manufacturing cells

Cited by 13 publications

References 25 publications

Accuracy analysis of tool deflection error modelling in prediction of milled surfaces by a virtual machining system

Accuracy analysis of tool deflection error modelling in prediction of milled surfaces by a virtual machining system

Layout and Material Flow Optimization in Digital Factory

Understanding industrial robot programming by aid of a virtual reality environment

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