Efficient low-carbon manufacturing for CFRP composite machining based on deep networks

References

• Abhishek, K., S. Datta, and S. S. Mahapatra. 2016. “Multi-Objective Optimization in Drilling of CFRP (Polyester) Composites: Application of a Fuzzy Embedded Harmony Search (HS) Algorithm.” Measurement 77: 222–239. https://doi.org/10.1016/j.measurement.2015.09.015.
   Web of Science ®Google Scholar
• Albawi, S., T. A. Mohammed, and S. Al-Zawi. 2017. “Understanding of a Convolutional Neural Network.” In 2017 International Conference on Engineering and Technology (ICET), 1–6. Antalya, Turkey: IEEE.
   Google Scholar
• Amaro, A. M., P. N. B. Reis, M. F. S. F. de Moura, and M. A. Neto. 2013. “Influence of Open Holes on Composites Delamination Induced by Low Velocity Impact Loads.” Composite Structures 97:239–244. https://doi.org/10.1016/j.compstruct.2012.09.041.
   Web of Science ®Google Scholar
• Arul, S., L. Vijayaraghavan, S. K. Malhotra, and R. Krishnamurthy. 2006. “The Effect of Vibratory Drilling on Hole Quality in Polymeric Composites.” International Journal of Machine Tools and Manufacture 46 (3-4): 252–259. https://doi.org/10.1016/j.ijmachtools.2005.05.023.
   Web of Science ®Google Scholar
• Babu, J., T. Sunny, N. A. Paul, Keerthy P. Mohan, J. Philip, and J. P. Davim. 2016. “Assessment of Delamination in Composite Materials: A Review.” Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 230 (11): 1990–2003. https://doi.org/10.1177/0954405415619343.
   Web of Science ®Google Scholar
• Barik, T., S. K. Jena, S. Gahir, K. Pal, and Sanat K. Pattnaik. 2021 “Process Parametric Optimization in Drilling of CFRP Composites Using GRA Method.” Materials Today: Proceedings 39:1281–1286. https://doi.org/10.1016/j.matpr.2020.04.220.
   Google Scholar
• Cappelletti, F., and M. Germani. 2023. “Carbon Reduction Engineering Through Value Chains Intersection, Product and Process Re-Design, Industrial Processes’ Scraps de-Manufacturing.” International Journal of Production Research, 1–22. https://doi.org/10.1080/00207543.2023.2243527.
   Web of Science ®Google Scholar
• Davim, J. P., J. C. Rubio, and A. M. Abrao. 2007. “A Novel Approach Based on Digital Image Analysis to Evaluate the Delamination Factor After Drilling Composite Laminates.” Composites Science and Technology 67 (9): 1939–1945. https://doi.org/10.1016/j.compscitech.2006.10.009.
   Web of Science ®Google Scholar
• Deb, K., A. Pratap, S. Agarwal, and T. Meyarivan. 2002. “A Fast and Elitist Multiobjective Genetic Algorithm: NSGA-II.” IEEE Transactions on Evolutionary Computation 6 (2): 182–197. https://doi.org/10.1109/4235.996017.
   Web of Science ®Google Scholar
• Deng, Z., L. Lv, W. Huang, L. Wan, and S. Li. 2020. “Modelling of Carbon Utilisation Efficiency and Its Application in Milling Parameters Optimisation.” International Journal of Production Research 58 (8): 2406–2420. https://doi.org/10.1080/00207543.2019.1633026.
   Web of Science ®Google Scholar
• Feito, N., A. S. Milani, and A. Muñoz-Sánchez. 2016. “Drilling Optimization of Woven CFRP Laminates Under Different Tool Wear Conditions: A Multi-Objective Design of Experiments Approach.” Structural and Multidisciplinary Optimization 53 (2): 239–251. https://doi.org/10.1007/s00158-015-1324-y.
   Web of Science ®Google Scholar
• Fleischer, J., R. Teti, G. Lanza, P. Mativenga, Hans-Christian Möhring, and V. Caggiano. 2018. “Composite Materials Parts Manufacturing.” CIRP Annals 67 (2): 603–626. https://doi.org/10.1016/j.cirp.2018.05.005.
   Web of Science ®Google Scholar
• Geng, D., Z. Lu, G. Yao, J. Liu, Z. Li, and D. Zhang. 2017. “Cutting Temperature and Resulting Influence on Machining Performance in Rotary Ultrasonic Elliptical Machining of Thick CFRP.” International Journal of Machine Tools and Manufacture 123:160–170. https://doi.org/10.1016/j.ijmachtools.2017.08.008.
   Web of Science ®Google Scholar
• He, Y., F. Liu, T. Wu, F.-P. Zhong, and B. Peng. 2012. “Analysis and Estimation of Energy Consumption for Numerical Control Machining.” Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 226 (2): 255–266. https://doi.org/10.1177/0954405411417673.
   Google Scholar
• Hueber, C., G. Fischer, N. Schwingshandl, N. Schwingshandl, and R. Schledjewski. 2019. “Production Planning Optimisation for Composite Aerospace Manufacturing.” International Journal of Production Research 57 (18): 5857–5873. https://doi.org/10.1080/00207543.2018.1554918.
   Web of Science ®Google Scholar
• Iliescu, D., D. Gehin, M. E. Gutierrez, and F. Girot. 2010. “Modeling and Tool Wear in Drilling of CFRP.” International Journal of Machine Tools and Manufacture 50 (2): 204–213. https://doi.org/10.1016/j.ijmachtools.2009.10.004.
   Web of Science ®Google Scholar
• Jia, S., R. Tang, J. Lv, Z. Zhang, and Q. Yuan. 2016. “Energy Modeling for Variable Material Removal Rate Machining Process: An end Face Turning Case.” The International Journal of Advanced Manufacturing Technology 85 (9-12): 2805–2818. https://doi.org/10.1007/s00170-015-8133-8.
   Web of Science ®Google Scholar
• Joshi, S., K. Rawat, and A. S. S. Balan. 2018. “A Novel Approach to Predict the Delamination Factor for Dry and Cryogenic Drilling of CFRP.” Journal of Materials Processing Technology 262:521–531. https://doi.org/10.1016/j.jmatprotec.2018.07.026.
   Web of Science ®Google Scholar
• Khanna, N., F. Pusavec, C. Agrawal, and Grzegorz M. Krolczyk. 2020. “Measurement and Evaluation of Hole Attributes for Drilling CFRP Composites Using an Indigenously Developed Cryogenic Machining Facility.” Measurement 154:107504. https://doi.org/10.1016/j.measurement.2020.107504.
   Web of Science ®Google Scholar
• Kim, T. Y., and S. B. Cho. 2019a. “Predicting Residential Energy Consumption Using CNN-LSTM Neural Networks.” Energy 182:72–81. https://doi.org/10.1016/j.energy.2019.05.230.
   Web of Science ®Google Scholar
• Kim, T. Y., and S. B. Cho. 2019b. “Particle Swarm Optimization-Based CNN-LSTM Networks for Forecasting Energy Consumption.” In IEEE Congress on Evolutionary Computation (CEC), 1510–1516. Wellington, New Zealand: IEEE.
   Google Scholar
• Kong, M., W. Wang, M. Deveci, Y. Zhang, X. Wu, and D'. M. Coffman. 2023. “A Novel Carbon Reduction Engineering Method-Based Deep Q-Learning Algorithm for Energy-Efficient Scheduling on a Single Batch-Processing Machine in Semiconductor Manufacturing.” International Journal of Production Research, 1–24. https://doi.org/10.1080/00207543.2023.2252932.
   Web of Science ®Google Scholar
• Krishnamoorthy, A., S. R. Boopathy, and K. Palanikumar. 2009. “Delamination Analysis in Drilling of CFRP Composites Using Response Surface Methodology.” Journal of Composite Materials 43 (24): 2885–2902. https://doi.org/10.1177/0021998309345309.
   Web of Science ®Google Scholar
• Krishnaraj, V., A. Prabukarthi, A. Ramanathan, N. Elanghovan, M. Senthil Kumar, R. Zitoune, and J. P. Davim. 2012. “Optimization of Machining Parameters at High Speed Drilling of Carbon Fiber Reinforced Plastic (CFRP) Laminates.” Composites Part B: Engineering 43 (4): 1791–1799. https://doi.org/10.1016/j.compositesb.2012.01.007.
   Web of Science ®Google Scholar
• Liang, X., D. Wu, Y. Gao, and K. Chen. 2018. “Investigation on the Non-coaxiality in the Drilling of Carbon-Fibre-Reinforced Plastic and Aluminium Stacks.” International Journal of Machine Tools and Manufacture 125:1–10. https://doi.org/10.1016/j.ijmachtools.2017.11.001.
   Web of Science ®Google Scholar
• Loja, M. A. R., M. S. F. Alves, I. M. F. Bragança, R. S. B. Rosa, I. C. J. Barbosa, and J. I. Barbosa. 2018. “An Assessment of Thermally Influenced and Delamination-Induced Regions by Composites Drilling.” Composite Structures 202:413–423. https://doi.org/10.1016/j.compstruct.2018.02.046.
   Web of Science ®Google Scholar
• Mao, Y., and J. Wang. 2019. “Is Green Manufacturing Expensive? Empirical Evidence from China.” International Journal of Production Research 57 (23): 7235–7247. https://doi.org/10.1080/00207543.2018.1480842.
   Web of Science ®Google Scholar
• Ngatchou, P., A. Zarei, and A. El-Sharkawi. 2005. “Pareto Multi Objective Optimization.” In Proceedings of the 13th International Conference on Intelligent Systems Application to Power Systems, 84–91. Arlington, VA: IEEE. https://doi.org/10.1109/ISAP.2005.1599245
   Google Scholar
• Niu, B., N. Zhang, F. Xie and H. Zhang. 2023 “Optimisation of Carbon Emission Reduction in a Competitive Market with Varying Saturation and Eco-conscious Consumers.” International Journal of Production Research 1–24. https://doi.org/10.1080/00207543.2023.2245065.
   Web of Science ®Google Scholar
• Paryanto, M. Brossog M. Bornschlegl, and J. Franke. 2015. “Reducing the Energy Consumption of Industrial Robots in Manufacturing Systems.” The International Journal of Advanced Manufacturing Technology 78 (5-8): 1315–1328. https://doi.org/10.1007/s00170-014-6737-z.
   Web of Science ®Google Scholar
• Ramirez, C., G. Poulachon, F. Rossi, and R. M'Saoubi. 2014. “Tool Wear Monitoring and Hole Surface Quality During CFRP Drilling.” Procedia CIRP 13:163–168. https://doi.org/10.1016/j.procir.2014.04.028.
   Google Scholar
• Ranjan, J., K. Patra, T. Szalay, M. Mia, M. K. Gupta, Q. Song, G. Krolczyk, et al. 2020. “Artificial Intelligence-Based Hole Quality Prediction in Micro-Drilling Using Multiple Sensors.” Sensors 20 (3): 885. https://doi.org/10.3390/s20030885.
   PubMed Web of Science ®Google Scholar
• Rawat, S., and H. Attia. 2009. “Characterization of the Dry High Speed Drilling Process of Woven Composites Using Machinability Maps Approach.” CIRP Annals 58 (1): 105–108. https://doi.org/10.1016/j.cirp.2009.03.100.
   Web of Science ®Google Scholar
• Romoli, L., and A. H. A. Lutey. 2019. “Quality Monitoring and Control for Drilling of CFRP Laminates.” Journal of Manufacturing Processes 40:16–26. https://doi.org/10.1016/j.jmapro.2019.02.028.
   Web of Science ®Google Scholar
• Shyha, I. S., D. K. Aspinwall, S. L. Soo, and S. Bradley. 2009. “Drill Geometry and Operating Effects When Cutting Small Diameter Holes in CFRP.” International Journal of Machine Tools and Manufacture 49 (12-13): 1008–1014. https://doi.org/10.1016/j.ijmachtools.2009.05.009.
   Web of Science ®Google Scholar
• Tsao, C. C. 2008. “Experimental Study of Drilling Composite Materials with Step-Core Drill.” Materials & Design 29 (9): 1740–1744. https://doi.org/10.1016/j.matdes.2008.03.022.
   Web of Science ®Google Scholar
• Uddin, M., A. Basak, A. Pramanik, S. Singh, G. M. Krolczyk, and C. Prakash. 2018. “Evaluating Hole Quality in Drilling of Al 6061 Alloys.” Materials 11 (12): 2443. https://doi.org/10.3390/ma11122443.
   PubMed Web of Science ®Google Scholar
• Voss, R., L. Seeholzer, F. Kuster, and K. Wegener. 2017. “Influence of Fibre Orientation, Tool Geometry and Process Parameters on Surface Quality in Milling of CFRP.” CIRP Journal of Manufacturing Science and Technology 18:75–91. https://doi.org/10.1016/j.cirpj.2016.10.002.
   Web of Science ®Google Scholar
• Vrabeľ, M., I. Mankova, J. Beno, and J. Tuharský. 2012. “Surface Roughness Prediction Using Artificial Neural Networks When Drilling Udimet 720.” Procedia Engineering 48:693–700. https://doi.org/10.1016/j.proeng.2012.09.572.
   Google Scholar
• Wu, X., C. H. Chu, Y. Wang, and W. Yan. 2007. “A Genetic Algorithm for Cellular Manufacturing Design and Layout.” European Journal of Operational Research 181 (1): 156–167. https://doi.org/10.1016/j.ejor.2006.05.035.
   Web of Science ®Google Scholar
• Xu, J., N. Geier, J. Shen, V. Krishnaraj, and S. Samsudeensadham. 2023. “A Review on CFRP Drilling: Fundamental Mechanisms, Damage Issues, and Approaches Toward High-Quality Drilling.” Journal of Materials Research and Technology 24: 9677–9707. https://doi.org/10.1016/j.jmrt.2023.05.023.
   Google Scholar
• Zhang, L., Z. Liu, W. Tian, and Wenhe Liao. 2015. “Experimental Studies on the Performance of Different Structure Tools in Drilling CFRP/Al Alloy Stacks.” The International Journal of Advanced Manufacturing Technology 81 (1-4): 241–251. https://doi.org/10.1007/s00170-015-6955-z.
   Web of Science ®Google Scholar
• Zhang, Y., D. Wu, and K. Chen. 2019. “A Theoretical Model for Predicting the CFRP Drilling-Countersinking Thrust Force of Stacks.” Composite Structures 209:337–348. https://doi.org/10.1016/j.compstruct.2018.10.107.
   Web of Science ®Google Scholar