Topology Optimization of a Milling Cutter Head for Additive Manufacturing
Abstract
1. Introduction
2. Materials and Methods
2.1. Original Milling Cutter Head and Materials
2.2. Simulation Setup and Boundary Conditions
2.3. Design and Optimization Strategy
3. Results and Discussion
3.1. Coolant Flow Analysis
3.2. Topology Optimization and Structural Performance
3.3. Combined CFD and FEA Validation
- Thermally, the coolant flow reaches each insert more evenly and efficiently, with reduced pressure losses and minimal turbulence.
3.4. Industrial and Manufacturing Implications
- Lower inertial mass improves dynamic spindle response. It reduces vibration during high-speed operations, which means a possible positive impact on tool life and control of the quality of machined surfaces.
- Improved coolant delivery can lead to better chip evacuation, reduced thermal loading, and extended insert life.
- Optimized material usage reduces production cost per part and contributes to more sustainable manufacturing.
3.5. Work Summary
- A ~10% reduction in mass;
- A ~6% increase in stiffness (lower maximum displacement);
- A ~12% reduction in coolant pressure drop;
- Significantly improved coolant flow uniformity.
4. Conclusions and Future Work
- Integrated DfAM Strategy: A dual-optimization approach combining topology optimization (TO) for structural efficiency with CFD-guided internal coolant channel design was implemented. The methodology was tailored for laser powder bed fusion (LPBF), incorporating AM-specific constraints such as overhang angles, powder evacuation paths, minimum wall thicknesses, and support minimization. These constraints were embedded into the TO setup using manufacturability filters. The final design demonstrates the ability of DfAM principles to generate geometries that are simultaneously efficient, complex, and LPBF-compatible.
- Enhanced Mechanical and Thermal Performance: The topology-optimized design achieved an approximate 10% mass reduction compared to the reference component, contributing to lower inertial loads during high-speed machining. Despite the mass reduction, the structure showed improved rigidity, with maximum deflection decreasing from 160 μm to 151 μm, which is a 5.6% increase in stiffness. Concurrently, CFD simulations demonstrated improved coolant flow distribution and a ~12% reduction in pressure drop. The redesigned conformal cooling channels achieved direct, balanced fluid delivery to each insert edge, improving thermal extraction at the cutting interface and potentially extending insert life and process stability.
- Holistic Simulation Validation: The integration of FEA and CFD allowed a multidomain evaluation of the component, ensuring that mechanical strength and thermal–fluidic functionality were optimized simultaneously. This is a critical advancement from prior studies, which have addressed structural optimization in isolation. The combination of mechanical and thermal validation within the same design loop ensured that neither performance domain was compromised.
- Industrial Relevance and Manufacturability: The case study was developed with a cutting tool manufacturer using a real-world geometry compatible with commercial LPBF systems. The final design employed 17-4 PH stainless steel and incorporated minimal internal overhangs and self-supporting channels to ease powder removal and post-processing. Attention was given to building orientation, internal accessibility, and platform anchoring to ensure manufacturability without excessive support generation. The optimized head also shows the potential to reduce machining-induced vibrations and extend tool life.
- Physical fabrication of the optimized milling head via LPBF using 17-4 PH stainless steel, applying tuned process parameters to ensure dimensional accuracy and metallurgical integrity.
- Structural validation, including static loading tests and modal analysis, to assess stiffness, global deformation, and vibrational performance under operating conditions.
- Thermo-mechanical verification, incorporating thermal imaging and flow visualization to experimentally validate the CFD-based predictions regarding pressure drop and cooling distribution.
- Machining performance trials, aimed at evaluating tool wear, chip formation, cutting forces, and surface finish in comparison with the original component.
- Benchmarking studies directly compare the LPBF-built component with traditionally manufactured tools regarding machining performance and operational stability.
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Li, W. Advanced Manufacturing and Precision Machining. Appl. Sci. 2024, 14, 11642. [Google Scholar] [CrossRef]
- Thompson, M.K.; Moroni, G.; Vaneker, T.; Fadel, G.; Campbell, R.I.; Gibson, I.; Bernard, A.; Schulz, J.; Graf, P.; Ahuja, B.; et al. Design for Additive Manufacturing: Trends, opportunities, considerations, and constraints. CIRP Ann.-Manuf. Technol. 2016, 65, 737–760. [Google Scholar] [CrossRef]
- Kelliger, T.; Meurer, M.; Bergs, T. Potentials of Additive Manufacturing for Cutting Tools: A Review of Scientific and Industrial Applications. Metals 2024, 14, 982. [Google Scholar] [CrossRef]
- Rehan, M.; He, T.; Tahir, D.; Khalil, A.K.; Yip, W.S.; To, S.S. 3D Finite element modeling and experimental investigation of micro milling of laser powder bed fusion fabricated Ti6Al4V. Results Eng. 2025, 26, 104635. [Google Scholar] [CrossRef]
- Poyraz, O.; Tomlinson, D.; Molyneux, A.; Baxter, M.E.; Yasa, E.; Hughes, J. Optimized and Additively Manufactured Face Mills for Enhanced Cutting Performance. Metals 2025, 15, 376. [Google Scholar] [CrossRef]
- Lee, W.Y.; Kim, K.W.; Sin, H.C. Design and analysis of a milling cutter with the improved dynamic characteristics. Int. J. Mach. Tools Manuf. 2002, 42, 961–967. [Google Scholar] [CrossRef]
- Zhang, G.; Zhang, J.; Fan, G.; Xu, C.; Du, J. The effect of chip formation on the cutting force and tool wear in high-speed milling Inconel 718. Int. J. Adv. Manuf. Technol. 2023, 127, 335–348. [Google Scholar] [CrossRef]
- Smith, S.; Tlusty, J. Current Trends in High-Speed Machining. J. Manuf. Sci. Eng. 1997, 119, 664–666. [Google Scholar] [CrossRef]
- Zhang, W.; Li, K.; Zhang, L.; Sun, Y. High-speed milling surface topography dimensional analysis and wear prediction. Int. J. Interact. Des. Manuf. 2021, 15, 409–416. [Google Scholar] [CrossRef]
- Shokrani, A.; Arrazola, P.J.; Biermann, D.; Mativenga, P.; Jawahir, I.S. Sustainable machining: Recent technological advances. CIRP Ann. 2024, 73, 483–508. [Google Scholar] [CrossRef]
- Morris, N.; Butscher, A.; Iorio, F. A subtractive manufacturing constraint for level set topology optimization. Struct. Multidiscip. Optim. 2020, 61, 1573–1588. [Google Scholar] [CrossRef]
- Deboer, B.; Nguyen, N.; Diba, F.; Hosseini, A. Additive, subtractive, and formative manufacturing of metal components: A life cycle assessment comparison. Int. J. Adv. Manuf. Technol. 2021, 115, 413–432. [Google Scholar] [CrossRef]
- Costa, J.M.; Sequeiros, E.W.; Santos, R.F.; Vieira, M.F. Benchmarking L-PBF Systems for Die Production: Powder, Dimensional, Surface, Microstructural and Mechanical Characterisation. Metals 2024, 14, 520. [Google Scholar] [CrossRef]
- Badiru, A.B.; Valencia, V.V.; Liu, D. Additive Manufacturing Handbook: Product Development for the Defense Industry; CRC Press: Boca Raton, FL, USA, 2017. [Google Scholar]
- Babamiri, B.B.; Barnes, B.; Soltani-Tehrani, A.; Shamsaei, N.; Hazeli, K. Designing additively manufactured lattice structures based on deformation mechanisms. Addit. Manuf. 2021, 46, 102143. [Google Scholar] [CrossRef]
- Gaynor, A.T.; Guest, J.K. Topology optimization considering overhang constraints: Eliminating sacrificial support material in additive manufacturing through design. Struct. Multidiscip. Optim. 2016, 54, 1157–1172. [Google Scholar] [CrossRef]
- Wu, Y.; Fang, J.; Wu, C.; Li, C.; Sun, G.; Li, Q. Additively manufactured materials and structures: A state-of-the-art review on their mechanical characteristics and energy absorption. Int. J. Mech. Sci. 2023, 246, 108102. [Google Scholar] [CrossRef]
- Liu, S.T.; Li, Q.H.; Chen, W.J.; Tong, L.Y.; Cheng, G.D. An identification method for enclosed voids restriction in manufacturability design for additive manufacturing structures. Front. Mech. Eng. 2015, 10, 126–137. [Google Scholar] [CrossRef]
- Hällgren, S.; Pejryd, L.; Ekengren, J. (Re)Design for Additive Manufacturing. Procedia CIRP 2016, 50, 246–251. [Google Scholar] [CrossRef]
- Pei, E.; Bernard, A.; Gu, D.; Klahn, C.; Monzón, M.; Petersen, M.; Sun, T. Springer Handbook of Additive Manufacturing; Springer Handbooks: Berlin/Heidelberg, Germany, 2023. [Google Scholar]
- Godec, D.; Gonzalez-Gutierrez, J.; Nordin, A.; Pei, E.; Alcázar, J.U. A Guide to Additive Manufacturing; Springer International Publishing: Berlin/Heidelberg, Germany, 2022. [Google Scholar]
- Wildgoose, A.J.; Thole, K.A.; Sanders, P.; Wang, L. Impact of Additive Manufacturing on Internal Cooling Channels With Varying Diameters and Build Directions. J. Turbomach. 2021, 143, 071003. [Google Scholar] [CrossRef]
- Peng, R.; Liu, J.; Chen, M.; Tong, J.; Zhao, L. Development of a pressurized internal cooling milling cutter and its machining performance assessment. Precis. Eng. 2021, 72, 315–329. [Google Scholar] [CrossRef]
- Snyder, J.C.; Stimpson, C.K.; Thole, K.A.; Mongillo, D. Build Direction Effects on Additively Manufactured Channels. J. Turbomach. 2016, 138, 051006. [Google Scholar] [CrossRef]
- Ghanbari, S.; Javaherdeh, K. Thermal performance enhancement in perforated baffled annuli by nanoporous graphene non-Newtonian nanofluid. Appl. Therm. Eng. 2020, 167, 114719. [Google Scholar] [CrossRef]
- Feng, S.; Kamat, A.M.; Pei, Y. Design and fabrication of conformal cooling channels in molds: Review and progress updates. Int. J. Heat Mass Transf. 2021, 171, 121082. [Google Scholar] [CrossRef]
- Costa, J.M.; Sequeiros, E.W.; Figueiredo, D.; Reis, A.R.; Vieira, M.F. Optimizing Metal AM Potential through DfAM: Design, Performance, and Industrial Impact. In Additive Manufacturing—Present and Sustainable Future, Materials and Applications; Montealegre-Meléndez, I., Ed.; IntechOpen: Rijeka, Croatia, 2024. [Google Scholar]
- McMillan, M.; Leary, M.; Brandt, M. Computationally efficient finite difference method for metal additive manufacturing: A reduced-order DFAM tool applied to SLM. Mater Des. 2017, 132, 226–243. [Google Scholar] [CrossRef]
- De Pasquale, G.; Yudianto, A. Functional design and testing of additively manufactured milling cutting heads with enhanced structural and lubrication properties. Prog. Addit. Manuf. 2025, 1–20. [Google Scholar] [CrossRef]
- Rännar, L.E.; Glad, A.; Gustafson, C.G. Efficient cooling with tool inserts manufactured by electron beam melting. Rapid Prototyp. J. 2007, 13, 128–135. [Google Scholar] [CrossRef]
- Wu, T.; Jahan, S.A.; Kumaar, P.; Tovar, A.; El-Mounayri, H.; Zhang, Y.; Zhang, J.; Acheson, D.; Brand, K.; Nalim, R. A Framework for Optimizing the Design of Injection Molds with Conformal Cooling for Additive Manufacturing. In Proceedings of the 43rd North American Manufacturing Research Conference, Namrc 43, Charlotte, NC, USA, 8–12 June 2015; Volume 1, pp. 404–415. [Google Scholar] [CrossRef]
- Khan, N.; Riccio, A. A systematic review of design for additive manufacturing of aerospace lattice structures: Current trends and future directions. Prog. Aerosp. Sci. 2024, 149, 101021. [Google Scholar] [CrossRef]
- Cui, J.; Tang, M.X. Towards generative systems for supporting product design. Int. J. Des. Eng. 2017, 7, 1–16. [Google Scholar] [CrossRef]
- Fu, Y.-F.; Ghabraie, K.; Rolfe, B.; Wang, Y.; Chiu, L.N.S. Smooth Design of 3D Self-Supporting Topologies Using Additive Manufacturing Filter and SEMDOT. Appl. Sci. 2020, 11, 238. [Google Scholar] [CrossRef]
- Cui, T.; Du, Z.; Liu, C.; Sun, Z.; Guo, X. Explicit Topology Optimization with Moving Morphable Component (MMC) Introduction Mechanism. Acta Mech. Solida Sin. 2022, 35, 384–408. [Google Scholar] [CrossRef]
- Mukherjee, T.; Zuback, J.S.; De, A.; DebRoy, T. Printability of alloys for additive manufacturing. Sci. Rep. 2016, 6, 19717. [Google Scholar] [CrossRef] [PubMed]
- Bureerat, S.; Kunakote, T. Topological design of structures using population-based optimization methods. Inverse Probl. Sci. Eng. 2006, 14, 589–607. [Google Scholar] [CrossRef]
- Hanzl, P.; Zetková, I. Benefits of a New Approach to Designing Milling Cutter Using Metal Additive Manufacturing. Manuf. Technol. 2019, 19, 385–390. [Google Scholar] [CrossRef]
- Haq, M.R.u.; Nazir, A.; Jeng, J.-Y. Design for additive manufacturing of variable dimension wave springs analyzed using experimental and finite element methods. Addit. Manuf. 2021, 44, 102032. [Google Scholar] [CrossRef]
- Nazir, A.; Gokcekaya, O.; Md Masum Billah, K.; Ertugrul, O.; Jiang, J.; Sun, J.; Hussain, S. Multi-material additive manufacturing: A systematic review of design, properties, applications, challenges, and 3D printing of materials and cellular metamaterials. Mater Des. 2023, 226, 111661. [Google Scholar] [CrossRef]
- Oliveira, C.; Maia, M.; Costa, J. Production of an Office Stapler by Material Extrusion Process, using DfAM as Optimization Strategy. U.Porto J. Eng. 2023, 9, 28–41. [Google Scholar] [CrossRef]
- Mata, M.; Bencatel, R.; Sequeiros, E.W.; Vieira, M.F.; Costa, J.M. Topology optimization applied to additive-manufactured hydrofoil wing components. Acad. Mater. Sci. 2024, 1. [Google Scholar] [CrossRef]
- Matos, F.; Coelho, H.; Emadinia, O.; Amaral, R.; Silva, T.; Gonçalves, N.; Marouvo, J.; Figueiredo, D.; de Jesus, A.; Reis, A. Additively manufactured milling tools for enhanced efficiency in cutting applications. Procedia Struct. Integr. 2024, 53, 270–277. [Google Scholar] [CrossRef]
- Srinivasan, S.; Swick, B.; Groeber, M.A. Optimization of Local Processing Conditions in Complex Part Geometries Through Novel Scan Strategy in Laser Powder Bed Fusion Process. JOM 2024, 76, 99–113. [Google Scholar] [CrossRef]
- Bergmueller, S.; Gerhold, L.; Fuchs, L.; Kaserer, L.; Leichtfried, G. Systematic approach to process parameter optimization for laser powder bed fusion of low-alloy steel based on melting modes. Int. J. Adv. Manuf. Technol. 2023, 126, 4385–4398. [Google Scholar] [CrossRef]
- Kasprowicz, M.; Pawlak, A.; Jurkowski, P.; Kurzynowski, T. Ways to increase the productivity of L-PBF processes. Arch. Civ. Mech. Eng. 2023, 23, 211. [Google Scholar] [CrossRef]
- The Milling Cutter 063A20190-08-08-022040. Available online: https://www.palbit.pt/en/products/cutting/milling/shouldering-cutters/linepro-20190/linepro-a20190-%7C-xpet-10--xphw-10 (accessed on 25 June 2025).
- The Cutting Inserts XPET 100304 PDSR-MP. Available online: https://www.palbit.pt/en/products/cutting/milling/shoulder-inserts/xpet/xpet-mp (accessed on 25 June 2025).
- Globisch, S.; Friedrich, M.; Heidemann, N.; Döpper, F. Tool Concept for a Solid Carbide End Mill for Roughing and Finishing of the Tool Steel Toolox 44. J. Manuf. Mater. Process. 2024, 8, 170. [Google Scholar] [CrossRef]
- Ansys. Granta EduPack 2023—Materials Data for Stainless Steel 17-4 PH. 2023. Available online: https://www.ansys.com/products/materials/granta-edupack (accessed on 25 June 2025).
- nTop; Release 5.9.2; nTop Inc.: New York, NY, USA, 2024.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Costa, I.B.; Cunha, B.R.; Marouvo, J.; Figueiredo, D.; Guimarães, B.M.; Vieira, M.F.; Costa, J.M. Topology Optimization of a Milling Cutter Head for Additive Manufacturing. Metals 2025, 15, 729. https://doi.org/10.3390/met15070729
Costa IB, Cunha BR, Marouvo J, Figueiredo D, Guimarães BM, Vieira MF, Costa JM. Topology Optimization of a Milling Cutter Head for Additive Manufacturing. Metals. 2025; 15(7):729. https://doi.org/10.3390/met15070729
Chicago/Turabian StyleCosta, Ilídio Brito, Bruno Rafael Cunha, João Marouvo, Daniel Figueiredo, Bruno Miguel Guimarães, Manuel Fernando Vieira, and José Manuel Costa. 2025. "Topology Optimization of a Milling Cutter Head for Additive Manufacturing" Metals 15, no. 7: 729. https://doi.org/10.3390/met15070729
APA StyleCosta, I. B., Cunha, B. R., Marouvo, J., Figueiredo, D., Guimarães, B. M., Vieira, M. F., & Costa, J. M. (2025). Topology Optimization of a Milling Cutter Head for Additive Manufacturing. Metals, 15(7), 729. https://doi.org/10.3390/met15070729