Self-adjusting robotic painting system
Purpose - Aims to introduce a self-adjusting robotic painting process for automotive fuel containers, capable of predicting the required correction action to avoid further defect production.Design methodology approach - Presents the development, testing and on-site implementation of a robotic therma...
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| Veröffentlicht in: | Industrial robot 2006-01, Vol.33 (1), p.50-55 |
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| container_title | Industrial robot |
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| creator | Omar, M. Viti, V. Saito, K. Liu, J. |
| description | Purpose - Aims to introduce a self-adjusting robotic painting process for automotive fuel containers, capable of predicting the required correction action to avoid further defect production.Design methodology approach - Presents the development, testing and on-site implementation of a robotic thermal machine vision system designed for evaluating coat thickness and coverage attributes. Computer simulation is used to study the effect of the painting robot's program on the film build-up.Findings - Effective technique for the real-time detection of anti-corrosive coat's pinholes and pop-ups. A systematic study for this paint deposition scheme.Research limitations implications - The presented detection system and the simulation program methodology could be further studied and modified for other painting applications.Practical implications - Provides insights validated with on-site results and systematic study for the automated or the manual adjustments of the robotic painting parameters.Originality value - Introduces a novel application of thermal imaging for evaluating coated surfaces. In addition, a first reported case study of automotive fuel container's painting process. Presents potential application to reduce the defects generation thus, improving quality, and reducing production cost. |
| doi_str_mv | 10.1108/01439910610638225 |
| format | Article |
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Computer simulation is used to study the effect of the painting robot's program on the film build-up.Findings - Effective technique for the real-time detection of anti-corrosive coat's pinholes and pop-ups. A systematic study for this paint deposition scheme.Research limitations implications - The presented detection system and the simulation program methodology could be further studied and modified for other painting applications.Practical implications - Provides insights validated with on-site results and systematic study for the automated or the manual adjustments of the robotic painting parameters.Originality value - Introduces a novel application of thermal imaging for evaluating coated surfaces. In addition, a first reported case study of automotive fuel container's painting process. 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Computer simulation is used to study the effect of the painting robot's program on the film build-up.Findings - Effective technique for the real-time detection of anti-corrosive coat's pinholes and pop-ups. A systematic study for this paint deposition scheme.Research limitations implications - The presented detection system and the simulation program methodology could be further studied and modified for other painting applications.Practical implications - Provides insights validated with on-site results and systematic study for the automated or the manual adjustments of the robotic painting parameters.Originality value - Introduces a novel application of thermal imaging for evaluating coated surfaces. In addition, a first reported case study of automotive fuel container's painting process. Presents potential application to reduce the defects generation thus, improving quality, and reducing production cost.</description><subject>Automation</subject><subject>Automobile industry</subject><subject>Case studies</subject><subject>Computer simulation</subject><subject>Corrosion</subject><subject>Curing</subject><subject>Defects</subject><subject>Onsite</subject><subject>Protective coatings</subject><subject>Real time</subject><subject>Robotics</subject><subject>Robots</subject><subject>Sensors</subject><subject>Solvents</subject><subject>Spray painting</subject><subject>Structural painting</subject><subject>Studies</subject><subject>Vision systems</subject><issn>0143-991X</issn><issn>1758-5791</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2006</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNp10EtLAzEQB_AgCtbqB_BWPOjF1Zkku9kcpfiCggcVvIU0D9myL5PdQ7-9qRUPViEwkPn9M2EIOUW4QoTyGpAzKRGKdFhJab5HJijyMsuFxH0y2fSzBN4OyVGMKwDICywm5PzZ1T7TdjXGoWrfZ6FbdkNlZr2u2q-LuI6Da47Jgdd1dCffdUpe725f5g_Z4un-cX6zyEwaOmRaGqsplUgFM7kw1lNKhXXMA2OlLQxn3llJPaKROtd0qYUoYMmRo7bJTMnF9t0-dB-ji4NqqmhcXevWdWNUgjPOSxQ0ybNfctWNoU2fUxQFAOOwQbhFJnQxBudVH6pGh7VCUJu9qZ29pczlNuMaF3RtfyI7VPXWJw5_8_8nfALoY3mH</recordid><startdate>20060101</startdate><enddate>20060101</enddate><creator>Omar, M.</creator><creator>Viti, V.</creator><creator>Saito, K.</creator><creator>Liu, J.</creator><general>Emerald Group Publishing Limited</general><scope>AAYXX</scope><scope>CITATION</scope><scope>0U~</scope><scope>1-H</scope><scope>7SC</scope><scope>7SP</scope><scope>7TB</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F28</scope><scope>FR3</scope><scope>F~G</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K6~</scope><scope>K7-</scope><scope>L.-</scope><scope>L.0</scope><scope>L6V</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M0C</scope><scope>M0N</scope><scope>M2O</scope><scope>M2P</scope><scope>M7S</scope><scope>MBDVC</scope><scope>P5Z</scope><scope>P62</scope><scope>PQBIZ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>Q9U</scope></search><sort><creationdate>20060101</creationdate><title>Self-adjusting robotic painting system</title><author>Omar, M. ; 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Computer simulation is used to study the effect of the painting robot's program on the film build-up.Findings - Effective technique for the real-time detection of anti-corrosive coat's pinholes and pop-ups. A systematic study for this paint deposition scheme.Research limitations implications - The presented detection system and the simulation program methodology could be further studied and modified for other painting applications.Practical implications - Provides insights validated with on-site results and systematic study for the automated or the manual adjustments of the robotic painting parameters.Originality value - Introduces a novel application of thermal imaging for evaluating coated surfaces. In addition, a first reported case study of automotive fuel container's painting process. 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| source | Emerald Journals |
| subjects | Automation Automobile industry Case studies Computer simulation Corrosion Curing Defects Onsite Protective coatings Real time Robotics Robots Sensors Solvents Spray painting Structural painting Studies Vision systems |
| title | Self-adjusting robotic painting system |
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