Araştırma Makalesi
BibTex RIS Kaynak Göster

Design of a Tracking Welding Robot Automation System for Manufacturing of Steam and Heating Boilers

Yıl 2018, Cilt: 6 Sayı: 2, 19 - 24, 03.08.2018
https://doi.org/10.21541/apjes.362174

Öz

For satisfying customers companies want to respond to customer requests on time. At the same time, they expect production process to be completed with low cost and low loss. For this reason, the importance of mechanization and automation in production sector has increased. As a result, companies have begun to give more importance to robotic systems, which are the basic components of automation systems. Despite the likelihood of mistakes caused by physiological and mental states of humans, these systems can perform operations precisely without any variability. In this study, an application was carried out for the automation of welding process of industrial type boilers in different sizes and features. For products of which standard measurements or welding operations are difficult to perform manually, a robotic system was proposed in which measurement and welding operations can be performed automatically. In addition, operators are prevented from exposure to gas and light via the proposed system which enables a safer working condition.

Kaynakça

  • [1] Yang, S. M., Cho, M. H., Lee, H. Y., & Cho, T. D., Weld line detection and process control for welding automation. Measurement Science and Technology, 18(3), 819, 2007.
  • [2] Özkan S.S., Karayel D., Atalı G., Gökbayrak İ. “Esnek Algılayıcı Kontrollü Robot El Tasarımı ve Gerçeklenmesi”, Akademik Platform Mühendislik ve Fen Bilimleri Dergisi (2017), Cilt 5, Sayı 3, Sayfa 35-40.
  • [3] Xu D., Cai J. Cham T.J., Fu P., Zhang J., Kinect-Based Easy 3D Object Reconstruction , Lecture Notes in Computer Science Volume 7674, 2012, pp 476-483.
  • [4] Kahn S., Bockholt U., Kuijper A., Fellner D. W., Towards precise real-time 3D difference detection for industrial applications, Computers in Industry, v.64 n.9, p.1115-1128, December, 2013.
  • [5] Saygili G., Balim C., Kalkan H., Hendriks E.A., Hierarchical Grid-Based Learning Approach for Recovering Unknown Depths in Kinect Depth Maps, International Conference on Image Analysis and Recognition, Póvoa de Varzim, Portugal, 2013.
  • [6] Ersöz, S., Türker, A., K., İz Süren Kaynak Otomasyonu (Welding Automation with Tracing), KOSGEB Projects, 2013.
  • [7] Qian X., Yang L., Lou P., The autonomous detection of sheet metal parts using image Processing, International Journal of Advanced Manufacturing Technology, October 2015, DOI 10.1007/s00170-015-7946-9.
  • [8] Yang, Sang-Min, et al. "Weld line detection and process control for welding automation." Measurement Science and Technology 18.3 (2007): 819.
  • [9] Starke, Günther, et al. "Self-Organization and Self-Coordination in Welding Automation with Collaborating Teams of Industrial Robots." Machines 4.4 (2016): 23.
  • [10] Borovik, Vasiliy, et al. "Industrial Robot Automation in Solving Non-Vacuum Electron-Beam Welding Problems." MATEC Web of Conferences. Vol. 79. EDP Sciences, 2016.
  • [11] Renner, Gábor, and Anikó Ekárt. "Genetic algorithms in computer aided design." Computer-Aided Design 35.8 (2003): 709-726.
  • [12] Boothroyd, Geoffrey. "Product design for manufacture and assembly." Computer-Aided Design 26.7 (1994): 505-520.
  • [13] Regli, William C., and Vincent A. Cicirello. "Managing digital libraries for computer-aided design." Computer-Aided Design32.2 (2000): 119-132.
  • [14] Wang, Hui, et al. "Computer aided fixture design: Recent research and trends." Computer-Aided Design 42.12 (2010): 1085-1094.
  • [15] Wang, Hui, and Yiming Kevin Rong. "Case based reasoning method for computer aided welding fixture design." Computer-Aided Design 40.12 (2008): 1121-1132.
  • [16] Gonzalez R. C., Woods R. E., Digital Image Processing, 3th Ed., (pp. 1-7), A.B.D., New Jersey: Prentice Hall, 2007.
  • [17] Çomak, B., Beycioğlu, A., Başyiğit, C., Kılınçarslan, Ş., Beton teknolojisinde görüntü işleme tekniklerinin kullanımı (Use of image processing techniques in concrete technology). In 6th Intenational Advanced Technologies Symposium (IATS’11), 2011.
  • [18] Erkan E., Özçalık H.R., Yılmaz Ş. “Görüntü İşleme Teknikleri Kullanılarak İnsan Hareketlerini Algılayan Akıllı Güvenlik Sistemi Tasarımı”, Akademik Platform Mühendislik ve Fen Bilimleri Dergisi (2015), Cilt 3, Sayı 1, Sayfa 1-6.
  • [19] Kjaer, Katrine Heinsvig, and Carl-Otto Ottosen. "3D laser triangulation for plant phenotyping in challenging environments." Sensors 15.6 (2015): 13533-13547.
  • [20] Determining coordinates of object from camera image, Available from: http://georgepavlides.info/research/LaserScanningAndTriangulation.php, (Access date: 01.12.2017).

Design of a Tracking Welding Robot Automation System for Manufacturing of Steam and Heating Boilers

Yıl 2018, Cilt: 6 Sayı: 2, 19 - 24, 03.08.2018
https://doi.org/10.21541/apjes.362174

Öz

For satisfying customers companies want to respond to customer requests on time. At the same time, they expect production process to be completed with low cost and low loss. For this reason, the importance of mechanization and automation in production sector has increased. As a result, companies have begun to give more importance to robotic systems, which are the basic components of automation systems. Despite the likelihood of mistakes caused by physiological and mental states of humans, these systems can perform operations precisely without any variability. In this study, an application was carried out for the automation of welding process of industrial type boilers in different sizes and features. For products of which standard measurements or welding operations are difficult to perform manually, a robotic system was proposed in which measurement and welding operations can be performed automatically. In addition, operators are prevented from exposure to gas and light via the proposed system which enables a safer working condition.

Kaynakça

  • [1] Yang, S. M., Cho, M. H., Lee, H. Y., & Cho, T. D., Weld line detection and process control for welding automation. Measurement Science and Technology, 18(3), 819, 2007.
  • [2] Özkan S.S., Karayel D., Atalı G., Gökbayrak İ. “Esnek Algılayıcı Kontrollü Robot El Tasarımı ve Gerçeklenmesi”, Akademik Platform Mühendislik ve Fen Bilimleri Dergisi (2017), Cilt 5, Sayı 3, Sayfa 35-40.
  • [3] Xu D., Cai J. Cham T.J., Fu P., Zhang J., Kinect-Based Easy 3D Object Reconstruction , Lecture Notes in Computer Science Volume 7674, 2012, pp 476-483.
  • [4] Kahn S., Bockholt U., Kuijper A., Fellner D. W., Towards precise real-time 3D difference detection for industrial applications, Computers in Industry, v.64 n.9, p.1115-1128, December, 2013.
  • [5] Saygili G., Balim C., Kalkan H., Hendriks E.A., Hierarchical Grid-Based Learning Approach for Recovering Unknown Depths in Kinect Depth Maps, International Conference on Image Analysis and Recognition, Póvoa de Varzim, Portugal, 2013.
  • [6] Ersöz, S., Türker, A., K., İz Süren Kaynak Otomasyonu (Welding Automation with Tracing), KOSGEB Projects, 2013.
  • [7] Qian X., Yang L., Lou P., The autonomous detection of sheet metal parts using image Processing, International Journal of Advanced Manufacturing Technology, October 2015, DOI 10.1007/s00170-015-7946-9.
  • [8] Yang, Sang-Min, et al. "Weld line detection and process control for welding automation." Measurement Science and Technology 18.3 (2007): 819.
  • [9] Starke, Günther, et al. "Self-Organization and Self-Coordination in Welding Automation with Collaborating Teams of Industrial Robots." Machines 4.4 (2016): 23.
  • [10] Borovik, Vasiliy, et al. "Industrial Robot Automation in Solving Non-Vacuum Electron-Beam Welding Problems." MATEC Web of Conferences. Vol. 79. EDP Sciences, 2016.
  • [11] Renner, Gábor, and Anikó Ekárt. "Genetic algorithms in computer aided design." Computer-Aided Design 35.8 (2003): 709-726.
  • [12] Boothroyd, Geoffrey. "Product design for manufacture and assembly." Computer-Aided Design 26.7 (1994): 505-520.
  • [13] Regli, William C., and Vincent A. Cicirello. "Managing digital libraries for computer-aided design." Computer-Aided Design32.2 (2000): 119-132.
  • [14] Wang, Hui, et al. "Computer aided fixture design: Recent research and trends." Computer-Aided Design 42.12 (2010): 1085-1094.
  • [15] Wang, Hui, and Yiming Kevin Rong. "Case based reasoning method for computer aided welding fixture design." Computer-Aided Design 40.12 (2008): 1121-1132.
  • [16] Gonzalez R. C., Woods R. E., Digital Image Processing, 3th Ed., (pp. 1-7), A.B.D., New Jersey: Prentice Hall, 2007.
  • [17] Çomak, B., Beycioğlu, A., Başyiğit, C., Kılınçarslan, Ş., Beton teknolojisinde görüntü işleme tekniklerinin kullanımı (Use of image processing techniques in concrete technology). In 6th Intenational Advanced Technologies Symposium (IATS’11), 2011.
  • [18] Erkan E., Özçalık H.R., Yılmaz Ş. “Görüntü İşleme Teknikleri Kullanılarak İnsan Hareketlerini Algılayan Akıllı Güvenlik Sistemi Tasarımı”, Akademik Platform Mühendislik ve Fen Bilimleri Dergisi (2015), Cilt 3, Sayı 1, Sayfa 1-6.
  • [19] Kjaer, Katrine Heinsvig, and Carl-Otto Ottosen. "3D laser triangulation for plant phenotyping in challenging environments." Sensors 15.6 (2015): 13533-13547.
  • [20] Determining coordinates of object from camera image, Available from: http://georgepavlides.info/research/LaserScanningAndTriangulation.php, (Access date: 01.12.2017).
Toplam 20 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Mühendislik
Bölüm Makaleler
Yazarlar

Süleyman Ersöz

Ahmet Kürşad Türker Bu kişi benim

Adnan Aktepe

İrfan Atabaş

Melda Kokoç Bu kişi benim

Yayımlanma Tarihi 3 Ağustos 2018
Gönderilme Tarihi 5 Aralık 2017
Yayımlandığı Sayı Yıl 2018 Cilt: 6 Sayı: 2

Kaynak Göster

IEEE S. Ersöz, A. K. Türker, A. Aktepe, İ. Atabaş, ve M. Kokoç, “Design of a Tracking Welding Robot Automation System for Manufacturing of Steam and Heating Boilers”, APJES, c. 6, sy. 2, ss. 19–24, 2018, doi: 10.21541/apjes.362174.