378
Views
3
CrossRef citations to date
0
Altmetric
Research Articles

Mathematical modelling of carbon emissions and process parameters optimisation for laser welding cell

ORCID Icon, , , , ORCID Icon &
Pages 5009-5028 | Received 07 Jan 2022, Accepted 06 Jun 2022, Published online: 23 Jun 2022

References

  • Alexopoulos, N. D., A. A. Gialos, V. Zeimpekis, Z. Velonaki, N. Kashaev, S. Riekehr, and A. Karanika. 2016. “Laser Beam Welded Structures for A Regional Aircraft: Weight, Cost and Carbon Footprint Savings.” Journal of Manufacturing Systems 39: 38–52. doi:10.1016/j.jmsy.2016.02.002.
  • Cao, H. J., J. Zhou, P. Jiang, K. K. B. Hon, H. Yi, and C. Y. Dong. 2020. “An Integrated Processing Energy Modeling and Optimization of Automated Robotic Polishing System.” Robotics and Computer Integrated Manufacturing 65: 1–13. doi:10.1016/j.rcim.2020.101973.
  • Colorni, A., M. Dorigo, and V. Maniezzo. 1991. “Distributed Optimization by Ant Colonies". Paper presented at the First European Conference on Artificial Life, Paris, December 134-142.
  • Dahmen, M., O. Güdükkurt, and S. Kaierle. 2010. “The Ecological Footprint of Laser Beam Welding.” Physics Procedia 5: 19–28. doi:10.1016/j.phpro.2010.08.025.
  • Dorigo, M., and T. Stützle. 2019. “Ant Colony Optimization: Overview and Recent Advances.” In Handbook of Metaheuristics, edited by Michel Gendreau and Jean-Yves Potvin, 227–263. Switzerland: Springer.
  • Goffin, N., L. C. R. Jones, J. Tyrer, J. L. Ouyang, P. Mativenga, and E. Woolley. 2021. “Mathematical Modelling for Energy Efficiency Improvement in Laser Welding.” Journal of Cleaner Production 322: 1–10. doi:10.1016/j.jclepro.2021.129012.
  • Gong, Y. J., W. N. Chen, Z. H. Zhan, J. Zhang, Y. Li, Q. F. Zhang, and J. J. Li. 2015. “Distributed Evolutionary Algorithms and Their Models: A Survey of the State-of-the-Art.” Applied Soft Computing 34: 286–300. doi:10.1016/j.asoc.2015.04.061.
  • Huang, Z., H. J. Cao, D. Zeng, W. W. Ge, and C. M. Duan. 2021. “A Carbon Efficiency Approach for Laser Welding Environmental Performance Assessment and the Process Parameters Decision-Making.” The International Journal of Advanced Manufacturing Technology 114: 2433–2446. doi:10.1007/s00170-021-07011-8.
  • International Energy Agency. 2018. “World Energy Outlook 2018.” doi:10.1787/weo-2018-en.
  • Jünger, M., G. Reinelt, and G. Rinaldi. 1995. “The Traveling Salesman Problem.” In Combinatorial Optimization Theory and Algorithms, edited by Bernhard Korte and Jens Vygen, 527–562. Berlin: Springer.
  • Kellens, K., G. C. Rodrigues, W. Dewulf, and J. R. Duflou. 2014. “Energy and Resource Efficiency of Laser Cutting Processes.” Physics Procedia 56: 854–864. doi:10.1016/j.phpro.2014.08.104.
  • Kjellström, E., G. Nikulin, G. Strandberg, O. B. Christensen, D. Jacob, K. Keuler, G. Lenderink, et al. 2018. “European Climate Change at Global Mean Temperature Increases of 1.5 and 2 °C Above Pre-Industrial Conditions as Simulated by the Euro-Cordex, Regional Climate Models.” Earth System Dynamics 9 (2): 459–478. doi:10.5194/esd-9-459-2018.
  • Kovács, A. 2016. “Integrated Task Sequencing and Path Planning for Robotic Remote Laser Welding.” International Journal of Production Research 54 (4): 1210–1224. doi:10.1080/00207543.2015.1057626.
  • Li, Y. F., M. Xiong, Y. He, J. J. Xiong, X. C. Tian, and P. Mativenga. 2022. “Multi-Objective Optimization of Laser Welding Process Parameters: The Trade-offs Between Energy Consumption and Welding Quality.” Optics and Laser Technology 149: 107861. doi:10.1016/j.optlastec.2022.107861.
  • Lopes, T. C., C. G. S. Sikora, R. G. Molina, D. Schibelbain, L. C. A. Rodrigues, and L. Magatãoa. 2017. “Balancing A Robotic Spot Welding Manufacturing Line: An Industrial Case Study.” European Journal of Operational Research 263: 1033–1048. doi:10.1016/j.ejor.2017.06.001.
  • Lu, C., L. Gao, X. Y. Li, and S. Q. Xiao. 2017. “A Hybrid Multi-Objective Grey Wolf Optimizer for Dynamic Scheduling in A Real-World Welding Industry.” Engineering Applications of Artificial Intelligence 57: 61–79. doi:10.1016/j.engappai.2016.10.013.
  • Lu, C., L. Gao, X. Y. Li, J. Zheng, and W. Y. Gong. 2018. “A Multi-Objective Approach to Welding Shop Scheduling for Makespan, Noise Pollution and Energy Consumption.” Journal of Cleaner Production 196: 773–787. doi:10.1016/j.jclepro.2018.06.137.
  • Maheri, A., S. Jalili, Y. Hosseinzadeh, R. Khani, and M. Miryahyavi. 2021. “A Comprehensive Survey on Cultural Algorithms.” Swarm and Evolutionary Computation 62 (1): 100846. doi:10.1016/j.swevo.2021.100846.
  • Meike, D., M. Pellicciari, and G. Berselli. 2014. “Energy Efficient Use of Multi-Robot Production Lines in the Automotive Industry: Detailed System Modeling and Optimization.” IEEE Transactions on Automation Science and Engineering 11 (3): 798–809. doi:10.1109/TASE.2013.2285813.
  • Pastras, G., and A. Fysikopoulos. 2017. “A Numerical Approach to the Energy Efficiency of Laser Welding.” The International Journal of Advanced Manufacturing Technology 92 (1-4): 1243–1253. doi:10.1007/s00170-017-0187-3.
  • Reynolds, R. G. 1994. “An Introduction to Cultural Algorithms". Paper presented at the Third Annual Conference on Evolutionary Programming, California, February 131-139.
  • Schmidt, M., M. Zäh, L. Li, J. Duflou, L. Overmeyer, and F. Vollertsen. 2018. “Advances in Macro-Scale Laser Processing.” CIRP Annals-Manufacturing Technology 67: 719–742. doi:10.1016/j.cirp.2018.05.006.
  • Shen, W., T. Hu, C. Zhang, Y. Ye, and Z. Li. 2020. “A Welding Task Data Model for Intelligent Process Planning of Robotic Welding.” Robotics and Computer Integrated Manufacturing 64: 101934. doi:10.1016/j.rcim.2020.101934.
  • Shin, Y., B. X. Wu, S. T. Lei, G. J. Cheng, and Y. L. Yao. 2020. “Overview of Laser Applications in Manufacturing and Materials Processing in Recent Years.” Journal of Manufacturing Science and Engineering 142 (11): 1–92. doi:10.1115/1.4048397.
  • Sproesser, G., Y. J. Chang, A. Pittner, M. Finkbeiner, and M. Rethmeier. 2015. “Life Cycle Assessment of Welding Technologies for Thick Metal Plate Welds.” Journal of Cleaner Production 108: 46–53. doi:10.1016/j.jclepro.2015.06.121.
  • Sun, X., Y. Zhang, R. Xu, and C. Ke. 2015. “Optimization Deployment of Wireless Sensor Networks Based on Culture-Ant Colony Algorithm.” Applied Mathematics and Computation 250: 58–70. doi:10.1016/j.amc.2014.10.091.
  • Um, J., and I. A. Stroud. 2013. “Total Energy Estimation Model for Remote Laser Welding Process.” Procedia CIRP 7: 658–663. doi:10.1016/j.procir.2013.06.049.
  • Um, J., I. A. Stroud, and Y. K. Park. 2019. “Deep Learning Approach of Energy Estimation Model of Remote Laser Welding.” Energies 12 (9): 1–19. doi:10.3390/en12091799.
  • Wang, B., S. J. Hu, L. Sun, and T. Freiheit. 2020. “Intelligent Welding System Technologies State-of-the-Art Review and Perspectives.” Journal of Manufacturing Systems 56: 373–391. doi:10.1016/j.jmsy.2020.06.020.
  • Wang, L., J. J. Wang, and E. Jiang. 2021. “Decomposition Based Multi-Objective Evolutionary Algorithm with Adaptive Resource Allocation for Energy-Aware Welding Shop Scheduling Problem.” Computers & Industrial Engineering 162: 107778. doi:10.1016/j.cie.2021.107778.
  • Wang, X. W., X. Zhou, Z. L. Xia, and X. S. Gu. 2021. “A Survey of Welding Robot Intelligent Path Optimization.” Journal of Manufacturing Processes 63: 14–23. doi:10.1016/j.jmapro.2020.04.085.
  • Xiao, R., and X. Zhang. 2014. “Problems and Issues in Laser Beam Welding of Aluminum-Lithium Alloys.” Journal of Manufacturing Processes 16 (2): 166–175. doi:10.1016/j.jmapro.2013.10.005.
  • Yadava, D. V. 2008. “Laser Beam Machining—A Review.” International Journal of Machine Tools and Manufacture 48: 609–628. doi:10.1016/j.ijmachtools.2007.10.017.
  • Yilbas, B. S., M. M. Shauka, A. A. Afzal, and F. Ashraf. 2020. “Life Cycle Analysis for Laser Welding of Alloys.” Optics & Laser Technology 126: 1–7. doi:10.1016/j.optlastec.2020.106064.
  • Zhang, Y. M., Y. P. Yang, W. Zhang, and S.-J. Na. 2020. “Advanced Welding Manufacturing: A Brief Analysis and Review of Challenges and Solutions.” Journal of Manufacturing Science and Engineering 142 (11): 1–88. doi:10.1115/1.4047947.
  • Zhong, X. 2021. “On the Approximation Ratio of the 3-Opt Algorithm for the (1, 2)-TSP.” Operations Research Letters 49: 515–521. doi:10.1016/j.orl.2021.05.012.
  • Zhou, J., H. Yi, H. J. Cao, P. Jiang, C. Y. Zhang, and W. W. Ge. 2022. “Structural Decomposition-Based Energy Consumption Modeling of Robot Laser Processing Systems and Energy-Efficient Analysis.” Robotics and Computer-Integrated Manufacturing 76: 102327. doi:10.1016/j.rcim.2022.102327.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.