Skip to main content
Log in

Integration of Additive Manufacturing in Casting: Advances, Challenges, and Prospects

  • Review Paper
  • Published:
International Journal of Precision Engineering and Manufacturing-Green Technology Aims and scope Submit manuscript

Abstract

Additive manufacturing (AM) is a novel manufacturing technology that can create highly customized products with more complex geometries than traditional techniques. Despite its significant advantages, including the freedom of design, mass customization, and ability to produce complex structures, AM consumes a large amount of energy and incurs high costs. In addition, AM suffers from long production cycles and low production efficiency in the large-scale manufacturing of metal structures. This study offers a review of the existing literature focused on metal AM technology. To avoid the shortcomings of AM and highlight its benefits, which are widely used for manufacturing in combination with casting. The current combination application of AM and casting is reviewed to provide solutions to the problem of manufacturing large metal components from the perspective of the use of different AM technology and quality control in casting. However, such integration is insufficient for producing large castings with complex shapes, structures, or multiple features. Therefore, a novel method for integrating AM into casting to enable the manufacture of large scale metal parts with complex shapes is introduced as a topic for possible future research. This method divides complex castings with multiple features into an AM processing part and the casting substrate. The complex features were processed by AM on the fabricated casting substrate. This study provides a review of the application of AM into casting and presents a novel idea for the integration application of AM and other processes. This promising method has significant value for future study.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10

Similar content being viewed by others

Availability of Data and Materials

All data generated or analysed during this study are included in this published article.

References

  1. Liu, W., Li, N., Zhou, B., Zhang, G., Liang, J., Zheng, T., & Xiong, H. (2019). Progress in additive manufacturing on complex structures and high-performance materials. Journal of Mechanical Engineering, 55(20), 128–151. ((159)).

    Google Scholar 

  2. Ahn, D.-G. (2016). Direct metal additive manufacturing processes and their sustainable applications for green technology: A review. International Journal of Precision Engineering and Manufacturing-Green Technology, 3(4), 381–395.

    Google Scholar 

  3. Serres, N., Tidu, D., Sankare, S., & Hlawka, F. O. (2011). Environmental comparison of MESO-CLAD? Process and conventional machining implementing life cycle assessment. Journal of cleaner production, 19(9–10), 1117–1124.

    Google Scholar 

  4. Hong, M.-P., Kim, W.-S., Sung, J.-H., Kim, D.-H., Bae, K.-M., & Kim, Y.-S. (2018). High-performance eco-friendly trimming die manufacturing using heterogeneous material additive manufacturing technologies. International Journal of Precision Engineering and Manufacturing-Green Technology, 5(1), 133–142.

    Google Scholar 

  5. Gao, W., Zhang, Y. B., Ramanujan, D., Ramani, K., Chen, Y., Williams, C. B., et al. (2015). The status, challenges, and future of additive manufacturing in engineering. Computer-Aided Design, 69, 65–89.

    Google Scholar 

  6. Zhao, D., & Lin, F. (2018). A review of on-line monitoring techniques in metal powder bed fusion processes. China Mechanical Engineering, 29(17), 2100–2110. ((2118)).

    Google Scholar 

  7. Hettesheimer, T., Hirzel, S., & Ross, H. B. (2018). Energy savings through additive manufacturing: An analysis of selective laser sintering for automotive and aircraft components. Energy Efficiency, 11(5), 1227–1245.

    Google Scholar 

  8. Huang, R. Z., Riddle, M., Graziano, D., Warren, J., Das, S., Nimbalkar, S., et al. (2016). Energy and emissions saving potential of additive manufacturing: The case of lightweight aircraft components. Journal of Cleaner Production, 135, 1559–1570.

    Google Scholar 

  9. Goh, G. L., Agarwala, S., Goh, G. D., Tan, H. K. J., Zhao, L. P., Chuah, T. K., & Yeong, W. Y. (2018). Additively manufactured multi-material free-form structure with printed electronics. International Journal of Advanced Manufacturing Technology, 94(1–4), 1309–1316.

    Google Scholar 

  10. Wai Yee, Y., & Chee Kai, C. (2013). A quality management framework for implementing additive manufacturing of medical devices: This paper argues that establishment of a quality management framework for additive manufacturing will accelerate its adoption in high value manufacturing industries. Virtual and Physical Prototyping, 8(3), 193–199.

    Google Scholar 

  11. China Business Information Network. (2019). China Business Industry Research Institute launched: Research Report on the market prospect and investment of 3D printing industry in 2019. http://www.askci.com/news/chanye/20190422/0929591145108_2.shtml. Accessed 26 Sep 2020.

  12. Wohlers Report (2020). http://www.wohlersassociates.com/. Accessed 7 Oct 2020.

  13. Attaran, M. (2017). The rise of 3-D printing: The advantages of additive manufacturing over traditional manufacturing. Business Horizons, 60(5), 677–688.

    Google Scholar 

  14. Bikas, H., Stavropoulos, P., & Chryssolouris, G. (2016). Additive manufacturing methods and modelling approaches: A critical review. The International Journal of Advanced Manufacturing Technology, 83, 389–405.

    Google Scholar 

  15. Duan, G., Feng, T., Sun, J., & Tang, G. (2019). Application of laser additive manufacturing technology in foundry. Foundry Technology, 40(7), 662–666. ((670)).

    Google Scholar 

  16. Kang, J., Shangguan, H., Deng, C., Hu, Y., Yi, J., & Huang, T. (2018). Additive manufacturing-driven mold design for castings. Additive Manufacturing, 22, 472–478.

    Google Scholar 

  17. Garzon, E. O., Alves, J. L., Neto, R. J. (2017). Study of the viability of manufacturing ceramic moulds by additive manufacturing for rapid casting. Ciência & Tecnologia dos Materiais, 29(1).

  18. Chhabra, M., & Singh, R. (2011). Rapid casting solutions: A review. Rapid Prototyping Journal, 17(5), 328–350.

    Google Scholar 

  19. Pattnaik, S., Jha, P. K., Karunakar, D. B. (2014). A review of rapid prototyping integrated investment casting processes. Proceedings of the Institution of Mechanical Engineering Part L—Journal of Materials, Design and Applications, 228(4), 249–277.

  20. Manufacturing, N. W. R. D. M. t. A. o. A. (2020). http://www.wohlersassociates.com/2020team.htm.

  21. Lee, H., Lim, C. H. J., Low, M. J., Tham, N., Murukeshan, V. M., & Kim, Y.-J. (2017). Lasers in additive manufacturing: A review. International Journal of Precision Engineering and Manufacturing-Green Technology, 4(3), 307–322.

    Google Scholar 

  22. Hampel, B., Tollkuhn, M., & Schilling, M. (2019). Anisotropic magnetoresistive sensors for control of additive manufacturing machines. Tm-technisches Messen, 80(10), 609–618.

    Google Scholar 

  23. Liu, X., Sun, Y., Jing, S., & Qie, L. I. (2019). A macroscopic and microscopic integrated decision-making model for evaluating process compatibility. China Mechanical Engineering, 30(21), 2598–2603.

    Google Scholar 

  24. Li, B., Hong, J., & Liu, Z. (2017). A novel topology optimization method of welded box-beam structures motivated by low-carbon manufacturing concerns. Journal of Cleaner Production, 142, 2792–2803.

    Google Scholar 

  25. Renjith, S. C., Park, K., & Okudan Kremer, G. E. (2020). A design framework for additive manufacturing: Integration of additive manufacturing capabilities in the early design process. International Journal of Precision Engineering and Manufacturing, 21(2), 329–345.

    Google Scholar 

  26. Ponche, R., Kerbrat, O., Mognol, P., & Hascoet, J.-Y. (2014). A novel methodology of design for additive manufacturing applied to additive laser manufacturing process. Robotics & Computer Integrated Manufacturing, 30(4), 389–398.

    Google Scholar 

  27. Kumke, M., Watschke, H., Hartogh, P., Bavendiek, A.-K., & Vietor, T. (2018). Methods and tools for identifying and leveraging additive manufacturing design potentials. International Journal on Interactive Design & Manufacturing, 12(2), 481–493.

    Google Scholar 

  28. Klahn, C., Leutenecker, B., & Meboldt, M. (2015). Design strategies for the process of additive manufacturing. Procedia Cirp, 36, 230–235.

    Google Scholar 

  29. Salonitis, K., & Zarban, S. A. (2015). Redesign optimization for manufacturing using additive layer techniques. Procedia Cirp, 36, 193–198.

    Google Scholar 

  30. Bin Maidin, S., Campbell, I., & Pei, E. (2012). Development of a design feature database to support design for additive manufacturing. Assembly Automation, 32(3), 235–244.

    Google Scholar 

  31. Nguyen, C. H. P., Kim, Y., & Choi, Y. (2021). Design for additive manufacturing of functionally graded lattice structures: A design method with process induced anisotropy consideration. International Journal of Precision Engineering and Manufacturing-Green Technology, 8, 29–45. https://doi.org/10.1007/s40684-019-00173-7.

    Article  Google Scholar 

  32. Liu, J., Gaynor, A. T., Chen, S., Kang, Z., Suresh, K., Takezawa, A., et al. (2018). Current and future trends in topology optimization for additive manufacturing. Structural & Multidisciplinary Optimization, 57(6), 2457–2483.

    Google Scholar 

  33. Liu, J., Zheng, Y., Ma, Y., et al. (2020). A topology optimization method for hybrid subtractive-additive remanufacturing. International Journal of Precision Engineering and Manufacturing-Green Technology, 7, 939–953. https://doi.org/10.1007/s40684-019-00075-8.

    Article  Google Scholar 

  34. Langelaar, M. (2017). An additive manufacturing filter for topology optimization of print-ready designs. Structural & Multidisciplinary Optimization, 55(3), 871–883.

    MathSciNet  Google Scholar 

  35. Langelaar, M. (2016). Topology optimization of 3D self-supporting structures for additive manufacturing. Additive Manufacturing, 12, 60–70.

    Google Scholar 

  36. Leary, M., Merli, L., Torti, F., Mazur, M., & Brandt, M. (2014). Optimal topology for additive manufacture: A method for enabling additive manufacture of support-free optimal structures. Materials & Design, 63, 678–690.

    Google Scholar 

  37. Mirzendehdel, A. M., & Suresh, K. (2016). Support structure constrained topology optimization for additive manufacturing. Computer-Aided Design, 81, 1–13.

    Google Scholar 

  38. Gaynor, A. T., & Guest, J. K. (2016). Topology optimization considering overhang constraints: Eliminating sacrificial support material in additive manufacturing through design. Structural & Multidisciplinary Optimization, 54(5), 1157–1172.

    MathSciNet  Google Scholar 

  39. Gardan, N., & Schneider, A. (2015). Topological optimization of internal patterns and support in additive manufacturing. Journal of Manufacturing Systems, 37, 417–425.

    Google Scholar 

  40. Brackett, D., Ashcroft, I., Hague, R. (2011). In Topology optimization for additive manufacturing, Proceedings of the solid freeform fabrication symposium, Austin, TX, 2011 (pp. 348–362).

  41. Gaynor, A. T., Guest, J. K. (2014). In Topology optimization for additive manufacturing: Considering maximum overhang constraint, 15th AIAA/ISSMO multidisciplinary analysis and optimization conference, 2014 (pp. 16–20).

  42. Xu, W., Wang, W., Li, H., Yang, Z., Liu, X., & Liu, L. (2015). Topology optimization for minimal volume in 3D printing. Journal of Computer Research and Development, 52(1), 38–44.

    Google Scholar 

  43. Kim, J.-E., Park, K., (2020). Multiscale topology optimization combining density-based optimization and lattice enhancement for additive manufacturing. International Journal of Precision Engineering and Manufacturing-Green Technology.

  44. Moon, S. K., Tan, Y. E., Hwang, J., et al. (2014). Application of 3D printing technology for designing light-weight unmanned aerial vehicle wing structures. International Journal of Precision Engineering and Manufacturing-Green Technology, 1, 223–228. https://doi.org/10.1007/s40684-014-0028-x.

    Article  Google Scholar 

  45. Krol, T. A., Seidel, C., & Zaeh, M. F. (2013). Prioritization of process parameters for an efficient optimisation of additive manufacturing by means of a finite element method. Procedia Cirp, 12, 169–174.

    Google Scholar 

  46. Wang, J., Wang, Y., & Shi, J. (2020). A novel time step fusion method with finite volume formulation for accelerated thermal analysis of laser additive manufacturing. International Journal of Precision Engineering and Manufacturing-Green Technology. https://doi.org/10.1007/s40684-020-00237-z.

    Article  Google Scholar 

  47. Jin, Y. A., He, Y., Fu, J. Z., Gan, W. F., & Lin, Z. W. (2014). Optimization of tool-path generation for material extrusion-based additive manufacturing technology. Additive Manufacturing, 1–4, 32–47.

    Google Scholar 

  48. Zwier, M. P., & Wits, W. W. (2016). Design for additive manufacturing: Automated build orientation selection and optimization. Procedia Cirp, 55, 128–133.

    Google Scholar 

  49. Paul, R., & Anand, S. (2015). Optimization of layered manufacturing process for reducing form errors with minimal support structures. Journal of Manufacturing Systems, 36, 231–243.

    Google Scholar 

  50. Zhang, Y., Gupta, R. K., & Bernard, A. (2016). Two-dimensional placement optimization for multi-parts production in additive manufacturing. Robotics and Computer-Integrated Manufacturing, 38(3), 102–117.

    Google Scholar 

  51. Woo, W.-S., Kim, E.-J., Jeong, H.-I., & Lee, C.-M. (2020). Laser-assisted machining of Ti-6Al-4V fabricated by DED additive manufacturing. International Journal of Precision Engineering and Manufacturing-Green Technology, 7(3), 559–572.

    Google Scholar 

  52. Zong, X., Xiong, C., Zhang, B., & Quan, K. (2019). Summary of research on manufacturing complex metal parts based on rapid prototyping technology. Hot Working Technology, 48(1), 5–9.

    Google Scholar 

  53. Chua, Z. Y., Ahn, I. H., & Moon, S. K. (2017). Process monitoring and inspection systems in metal additive manufacturing: Status and applications. International Journal of Precision Engineering and Manufacturing-Green Technology, 4, 235–245. https://doi.org/10.1007/s40684-017-0029-7.

    Article  Google Scholar 

  54. Ghayoor, M., Lee, K., He, Y., Chang, C.-H., Paul, B. K., & Pasebani, S. (2020). Selective laser melting of 304L stainless steel: Role of volumetric energy density on the microstructure, texture and mechanical properties. Additive Manufacturing, 32, 101011.

    Google Scholar 

  55. Li, L., Li, R., Yuan, T., Chen, C., Wang, M., Yuan, J., & Weng, Q. (2020). Microstructures and mechanical properties of Si and Zr modified Al–Zn–Mg–Cu alloy-A comparison between selective laser melting and spark plasma sintering. Journal of Alloys and Compounds, 821, 153520.

    Google Scholar 

  56. Liang, J., Lei, Z., Chen, Y., Wu, S., Bi, J., & Tian, Z. (2020). Mechanical properties of selective laser melted ZK60 alloy enhanced by nanoscale precipitates with core-shell structure. Materials Letters, 263, 127232.

    Google Scholar 

  57. Liu, J., Song, Y., Chen, C., Wang, X., Li, H., Zhou, C. A., et al. (2020). Effect of scanning speed on the microstructure and mechanical behavior of 316L stainless steel fabricated by selective laser melting. Materials & Design, 186, 108355.

    Google Scholar 

  58. Larimian, T., Kannan, M., Grzesiak, D., AlMangour, B., Borkar, T. (2020). Effect of energy density and scanning strategy on densification, microstructure and mechanical properties of 316L stainless steel processed via selective laser melting. Materials Science & Engineering A, 770.

  59. Salman, O. O., Brenne, F., Niendorf, T., Eckert, J., Prashanth, K. G., He, T., & Scudino, S. (2019). Impact of the scanning strategy on the mechanical behavior of 316L steel synthesized by selective laser melting. Journal of Manufacturing Processes, 45, 255–261.

    Google Scholar 

  60. Liu, C. Y., Tong, J. D., Jiang, M. G., Chen, Z. W., Xu, G., Liao, H. B., Wang, P., Wang, X. Y., Xu, M., Lao, C. S. (2019). Effect of scanning strategy on microstructure and mechanical properties of selective laser melted reduced activation ferritic/martensitic steel. Materials Science & Engineering A, 766.

  61. Paul, W., Tomasz, L., L, K. Z., Gavin, W., Ahmad, S. (2019). Influences of horizontal and vertical build orientations and post-fabrication processes on the fatigue behavior of stainless steel 316L produced by selective laser melting. Materials (Basel, Switzerland), 12(24), 4203.

  62. Xie, W., Zheng, M., Wang, J., & Li, X. (2020). The effect of build orientation on the microstructure and properties of selective laser melting Ti-6Al-4V for removable partial denture clasps. The Journal of Prosthetic Dentistry, 123(1), 163–172.

    Google Scholar 

  63. Montero-Sistiaga, M. L., Liu, Z., Bautmans, L., Nardone, S., Ji, G., Kruth, J.-P., Humbeeck, J. V., Vanmeensel, K. (2020). Effect of temperature on the microstructure and tensile properties of micro-crack free hastelloy X produced by selective laser melting. Additive Manufacturing, 31.

  64. Ning, J., Sievers, D. E., Garmestani, H., & Liang, S. Y. (2020). Analytical modeling of in-process temperature in powder feed metal additive manufacturing considering heat transfer boundary condition. International Journal of Precision Engineering and Manufacturing-Green Technology, 7(3), 585–593.

    Google Scholar 

  65. Pragana, J. P. M., Cristino, V. A. M., Bragança, I. M. F., Silva, C. M. A., & Martins, P. A. F. (2020). Integration of forming operations on hybrid additive manufacturing systems based on fusion welding. International Journal of Precision Engineering and Manufacturing-Green Technology, 7(3), 595–607.

    Google Scholar 

  66. Tang, P., Wang, S., Long, M., Duan, H., Yu, S., Chen, D., & Fan, S. (2019). Thermal behavior during the selective laser melting process of Ti-6Al-4V powder in the point exposure scan pattern. Metallurgical and Materials Transactions B, 50(6), 2804–2814.

    Google Scholar 

  67. Tang, Q., Chen, P., Chen, J., Chen, Y., Chen, H. (2020). Numerical simulation of selective laser melting temperature conduction behavior of H13 steel in different models. Optik, 201.

  68. Li, J., Wei, Z., Yang, L., Zhou, B., Wu, Y., Chen, S.-G., Sun, Z., (2019). Finite element analysis of thermal behavior and experimental investigation of Ti6Al4V in selective laser melting. Optik, 207.

  69. Choi, Y., & Lee, D. G. (2019). Correlation between surface tension and fatigue properties of Ti-6Al-4V alloy fabricated by EBM additive manufacturing. Applied Surface Science, 481, 741–746.

    Google Scholar 

  70. Upadhyay, M., Sivarupan, T., & El Mansori, M. (2017). 3D printing for rapid sand casting—a review. Journal of Manufacturing Processes, 29, 211–220.

    Google Scholar 

  71. Yang, Y., Keulen, F. V., Ayas, C. (2020). A computationally efficient thermal model for selective laser melting. Additive Manufacturing, 31.

  72. Park, E., Kim, D. M., Park, H. W., Park, Y.-B., & Kim, N. (2020). Evaluation of tool life in the dry machining of inconel 718 parts from additive manufacturing (AM). International Journal of Precision Engineering and Manufacturing, 21(1), 57–65.

    Google Scholar 

  73. Minetola, P. (2012). The importance of a correct alignment in contactless inspection of additive manufactured parts. International Journal of Precision Engineering and Manufacturing, 13(2), 211–218.

    Google Scholar 

  74. Salonitis, K., Dalvise, L., Schoinochoritis, B., & Chantzis, D. (2016). Additive manufacturing and post-processing simulation: Laser cladding followed by high speed machining. The International Journal of Advanced Manufacturing Technology, 85(9–12), 2401–2411.

    Google Scholar 

  75. Shahzad, K., Deckers, J., Kruth, J.-P., & Vleugels, J. (2013). Additive manufacturing of alumina parts by indirect selective laser sintering and post processing. Journal of Materials Processing Technology, 213(9), 1484–1494.

    Google Scholar 

  76. Nelaturi, S., Behandish, M., Mirzendehdel, A. M., & De Kleer, J. (2019). Automatic support removal for additive manufacturing post processing. Computer-Aided Design, 115, 135–146.

    MathSciNet  Google Scholar 

  77. Zhang, X., Tang, S., Zhao, H., Guo, S., Li, N., Sun, B., & Chen, B. (2016). Research status and key technologies of 3D printing. Journal of Materials Engineering, 44(2), 122–128.

    Google Scholar 

  78. Kobryn, P. A., Moore, E. H., & Semiatin, S. L. (2000). Effect of laser power and traverse speed on microstructure, porosity, and build height in laser-deposited Ti-6Al-4V. Scripta Materialia, 43(4), 299–305.

    Google Scholar 

  79. Turó, A., Chávez, J. A., García-Hernández, M. J., Bulkai, A., Tomek, P., Tóth, G., et al. (2013). Ultrasonic inspection system for powder metallurgy parts. Measurement, 46(3), 1101–1108.

    Google Scholar 

  80. Lu, B., & Li, D. (2013). Development of the additive manufacturing (3D printing) technology. Machine Building & Automation, 42(4), 1–4.

    Google Scholar 

  81. Ning, H. (2014). ASTM additive manufacturing technical committee and partners actively develop standards. Standardization in China, 6, 97–97.

    Google Scholar 

  82. Maxwell, J. (2016). Standards promote 3D printing. Standardization in China, 5, 99.

    Google Scholar 

  83. Li, F., Chen, S., Shi, J., Tian, H., & Zhao, Y. (2017). Evaluation and optimization of a hybrid manufacturing process combining wire arc additive manufacturing with milling for the fabrication of stiffened panels. Applied Sciences, 7(12), 1233.

    Google Scholar 

  84. Le, V. T., Paris, H., & Mandil, G. (2017). Environmental impact assessment of an innovative strategy based on an additive and subtractive manufacturing combination. Journal of Cleaner Production, 164, 508–523.

    Google Scholar 

  85. Cortina, M., Arrizubieta, J. I., Calleja, A., Ukar, E., & Alberdi, A. (2018). Case study to illustrate the potential of conformal cooling channels for hot stamping dies manufactured using hybrid process of laser metal deposition (LMD) and milling. Metals, 8(2), 102.

    Google Scholar 

  86. Almangour, B., & Yang, J. M. (2016). Improving the surface quality and mechanical properties by shot-peening of 17–4 stainless steel fabricated by additive manufacturing. Materials & Design, 110, 914–924.

    Google Scholar 

  87. Kruth, J., Leu, M., & Nakagawa, T. (1998). Progress in additive manufacturing and rapid prototyping. CIRP Annals, 47(2), 525–540.

    Google Scholar 

  88. Hackney, P. M., & Wooldridge, R. (2017). 3D sand printing for automotive mass production applications. International Journal of Rapid Manufacturing, 6(2–3), 134–154.

    Google Scholar 

  89. Abdullin, A. D. (2012). New capabilities of software package ProCAST 2011 for modeling foundry operations. Metallurgist, 56(5), 323–328.

    Google Scholar 

  90. Hawaldar, N., & Zhang, J. (2018). A comparative study of fabrication of sand casting mold using additive manufacturing and conventional process. The International Journal of Advanced Manufacturing Technology, 97(1–4), 1037–1045.

    Google Scholar 

  91. Chen, A., Wu, J., Liu, Y., Liu, R., Cheng, L., Huo, W., et al. (2017). Fabrication of porous fibrous alumina ceramics by direct coagulation casting combined with 3D printing. Ceramics International, 44(5), 4845–4852.

    Google Scholar 

  92. Kang, J. W., & Ma, Q. X. (2017). The role and impact of 3D printing technologies in casting. China Foundry, 14(3), 157–168.

    Google Scholar 

  93. Vevers, A., Kromanis, A., Gerins, E., & Ozolins, J. (2018). Additive manufacturing and casting technology comparison: Mechanical properties, productivity and cost benchmark. Latvian Journal of Physics and Technical Sciences, 55(2), 56–63.

    Google Scholar 

  94. Sama, S. R., Manogharan, G., & Badamo, T. (2020). Case studies on integrating 3D sand-printing technology into the production portfolio of a sand-casting foundry. International Journal of Metallurgy, 14(1), 12–24.

    Google Scholar 

  95. Sama, S. R., Wang, J. Y., & Manogharan, G. (2018). Non-conventional mold design for metal casting using 3D sand-printing. Journal of Manufacturing Processes, 34, 765–775.

    Google Scholar 

  96. Walker, J. M., Prokop, A., Lynagh, C., Vuksanovich, B., Conner, B., Rogers, K., et al. (2019). Real-time process monitoring of core shifts during metal casting with wireless sensing and 3D sand printing. Additive Manufacturing, 27, 54–60.

    Google Scholar 

  97. Bassoli, E., Gatto, A., Iuliano, L., & Violante, M. G. (2007). 3D printing technique applied to rapid casting. Rapid Prototyping Journal, 13(3), 148–155.

    Google Scholar 

  98. Mohammed, V., Syed, F., Arkanti, K., & Laxminarayana, P. (2017). Experimental investigation to produce thin-walled sand casting using combination of casting simulation and additive manufacturing techniques. The International Journal of Advanced Manufacturing Technology, 90(9–12), 3147–3157.

    Google Scholar 

  99. Froes, F., (2019), Combining additive manufacturing with conventional casting and reduced density materials to greatly reduce the weight of airplane components such as passenger seat frames. Additive Manufacturing for the Aerospace Industry, 419–425. https://doi.org/10.1016/B978-0-12-814062-8.00021-2.

  100. Tang, S., Yang, L., Liu, X., Li, G., Jiang, W., & Fan, Z. (2020). Direct ink writing additive manufacturing of porous alumina-based ceramic cores modified with nanosized MgO. Journal of the European Ceramic Society, 40(15), 5758–5766.

    Google Scholar 

  101. Rogov, A. B., Lyu, H., Matthews, A., Yerokhin, A., (2020). AC plasma electrolytic oxidation of additively manufactured and cast AlSi12 alloys. Surface & Coatings Technology, 399.

  102. Balyakin, A. V., Vdovin, R. A., & Ispravnikova, S. S. (2020). Application of additive technologies for manufacturing turbine stator parts in aircraft engines. Journal of Physics: Conference Series, 1515, 042108.

    Google Scholar 

  103. Stolt, R., Andre, S., Elgh, F., (2018). Introducing inserts for die casting manufactured by selective laser sintering. In D. Sormaz, G. Suer, F. F. Chen. (Eds.), 28th international conference on flexible automation and intelligent manufacturing (Vol. 17, pp. 309–316). Elsevier Science BV, Amsterdam, Netherlands.

  104. Snelling, D. A., Williams, C. B., & Druschitz, A. P. (2019). Mechanical and material properties of castings produced via 3D printed molds. Additive Manufacturing, 27, 199–207.

    Google Scholar 

  105. Shah, J. (2020). Light-weighting technologies for high-performance ductile iron sand castings. Intternational Journal of Metallurgy, 14(3), 656–662.

    Google Scholar 

  106. Hodder, K. J., & Chalaturnyk, R. (2019). Bridging additive manufacturing and sand casting: Utilizing foundry sand. Additive Manufacturing, 28, 649–660.

    Google Scholar 

  107. Bryant, N., Frush, T., Thiel, J., MacDonald, E., Walker, J., (2020). Influence of machine parameters on the physical characteristics of 3D-printed sand molds for metal casting. International Journal of Metallurgy 12.

  108. Sapkal, S. U., Patil, I. C., Darekar, S. K. (2020). Dimensional variation and wear analysis of 3D printed pattern for sand casting (pp. 461–470). International Conference in mechanical and energy technology. ICMET, 2019, India Venue: greater Noida, India Publisher: Springer, Singapore.

  109. Kafara, M., Kemnitzer, J., Westermann, H. H., Steinhilper, R., (2018). Influence of binder quantity on dimensional accuracy and resilience in 3D-printing. In G. Seliger, R. Wertheim, H. Kohl, M. Shpitalni, A. Fischer (Eds.), 15th global conference on sustainable manufacturing (Vol. 21, pp. 638–646). Elsevier Science BV, Amsterdam, Netherlands.

  110. Sivarupan, T., El Mansori, M., Coniglio, N., & Dargusch, M. (2020). Effect of process parameters on flexure strength and gas permeability of 3D printed sand molds. Journal of Manufacturing Processes, 54, 420–437.

    Google Scholar 

  111. Wang, D., Dong, A., Zhu, G., Shu, D., Sun, J., Li, F., & Sun, B. (2019). Rapid casting of complex impeller based on 3D printing wax pattern and simulation optimization. The International Journal of Advanced Manufacturing Technology, 100(9–12), 2629–2635.

    Google Scholar 

  112. Le Neel, T. A., Mognol, P., & Hascoet, J. Y. (2018). Design methodology for variable shell mould thickness and thermal conductivity additively manufactured. Welding in the World, 62(5), 1059–1072.

    Google Scholar 

  113. Wang, H., Zhou, M.-X., Zheng, W.-Z., Shi, Z.-B., & Li, H.-W. (2017). 3D machining allowance analysis method for the large thin-walled aerospace component. International Journal of Precision Engineering and Manufacturing, 18(3), 399–406.

    Google Scholar 

Download references

Funding

This work was supported by the National Natural Science Foundation of China (nos. 51775162, 52005146), Natural Science Foundation of Anhui Province (2008085QE265, 2008085QE232, 2008085ME150), Suzhou Engineering Research Center for Collaborative Innovation of Mechanical Equipment (SZ2017ZX07), Anhui Major Science and Technology Project (18030901023), and Opening Project of Suzhou University Research Platform (2019kyf21, 2019ykf26, 2019ykf27).

Author information

Authors and Affiliations

Authors

Contributions

MG contributed to the conception of the study and wrote the manuscript. LL, QW and ZM performed the literature search. XL contributed significantly to analysis and manuscript preparation. ZL helped perform the analysis with constructive discussions.

Corresponding author

Correspondence to Lei Li.

Ethics declarations

Conflict of interest

The authors have declared that no competing interests exist.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Gao, M., Li, L., Wang, Q. et al. Integration of Additive Manufacturing in Casting: Advances, Challenges, and Prospects. Int. J. of Precis. Eng. and Manuf.-Green Tech. 9, 305–322 (2022). https://doi.org/10.1007/s40684-021-00323-w

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40684-021-00323-w

Keywords

Navigation