Robin Kizirian

Simulation of Robotic Assembly With Path Optimization

For the purpose of being competitive in the market place, manufacturing companies apply discrete event systems on their production lines. They have to continue improving the manufacturing systems in addition to the products. Due to the growing market of automation simulation software, digital production has become more and more sophisticated. Industrial companies utilize these software packages to increase profits, decrease costs and reduce the manufacturing cycle time. Research and development areas have been identified and discussed between discrete event and geometric simulators as well as between simulators and the real shop-floor. The goal of this research is to create a method of defining the optimized path of robotic assembly to meet the requirements of manufacturing scheme. The quantitative measure of optimization in this paper is completion time, as this is generally a key parameter of interest in production. The method of modeling and analyzing is performed through the use of virtual robotics simulations via PLCStudio, as well as an external optimization algorithm constructed in LabVIEW.Copyright

Virtual 3D Model Simulation for Design and Implementation of Automated Processes

This paper presents the integration and implementation of automated processes, based on the sequence control specifications and requirements of PLC (Programmable Logic Controller) systems to create a virtual test environment using a software simulation tool, PLCStudio. In order to meet the demands of the new manufacturing paradigm, PLCStudio is being designed as a next generation tool for digital production. This production solution set represents an integrated suite that provides manufacturing process design, tool and fixture design, factory and production systems design, visualization, and automation through 3D virtual simulation tools. The significant effect and benefit for the manufacturer from such a suite of tools would be a substantial reduction to the manufacturing lifecycle. This includes reduction of the assembly time and cut-down on the cost for a process development through the virtual validation and commissioning of production systems. In this paper, a process with quantifiable goals and efficiencies utilizing a robot and other devices is developed. PLCStudio is used to model the process. PLC logic control is developed to control the system and tested virtually using PLCStudio before it is used in a full scale physical test.Copyright

Non-Contact Surface Roughness Measurement for Remote Quality Control

This paper presents a new method of surface roughness measurement developed for use in a web-enabled production environment. This method employs an Internet-based vision system to measure and analyze the pattern of scattered light from a surface of an object to derive roughness parameters. The roughness parameters are obtained for a number of metal specimens which are machined to different roughnesses. A correlation curve is established between optical intensity and the corresponding average surface roughness. The quality measurement data is monitored through the web browser while surface roughness parameters are inspected using a machine vision system. This allows the system to operate over the Internet since the machine vision system is integrated with LabVIEW-based graphic user interface (GUI).Copyright