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March 29, 2026Applied Sciences0 citationsOpen Access

Optimization of CNC Milling Parameters of SKD11 Material for Core Component with Different Tool Path Strategies Based on Integration Approach of Taguchi Method, Response Surface Method and Lichtenberg Optimization Algorithm

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MDMinh Phung DangTDThi Van Anh DuongCTChi Thien Tran

Key Points

  • To optimize CNC milling parameters for SKD11 material using a multi-criteria approach, enhancing fabrication quality.
  • Utilized Taguchi method to generate initial experimental data on fabrication parameters.
  • Applied response surface method to establish mathematical relationships between parameters and quality attributes.
  • Used Lichtenberg optimization algorithm to identify optimal fabrication factors based on regression equations.
  • Reverse CNC milling toolpath strategy yielded the best outcomes for surface roughness, flatness, and CNC milling time.
  • Inaccuracies in optimized and experimental confirmations were 6.54% for surface roughness, 18.182% for flatness, and 11.972% for milling time.
  • The optimized methodology effectively addresses multi-objective optimization problems in CNC milling.

Abstract

This study proposes a useful multi-criteria optimization approach for defining the proper fabrication factors for the CNC milling process on the inclined surfaces of SKD 11 material. The method is to be used in mold fabrication technology within the field of mechanical engineering. A combination technique of the Taguchi technique (TM), response surface method (RSM), and Lichtenberg optimization algorithm (LA) was proposed to optimize the fabrication factors for enriching the superiority attributes. In the first stage, several initial experiments of the fabricating parameters were generated by the TM. Secondly, the mathematical equations among the main fabricating parameters, the surface roughness, the flatness, and the CNC milling time were then established by the RSM. Significant influences of fabrication elements on surface roughness, flatness, and CNC milling time were evaluated by variance analysis and sensitivity analysis based on three distinct CNC milling toolpath strategies. Finally, the Lichtenberg optimization algorithm was carried out based on regression equations to define the optimized factors for three cutting strategies. The optimized results showed that the reverse CNC milling toolpath strategy was the best for achieving the three quality responses. Furthermore, the results demonstrated that the inaccuracies among optimized as well as experiment confirmations for the surface roughness, flatness and CNC milling time were 6.54%, 18.182% and 11.972%, respectively. The verifications of experiment results were relatively suitable with the anticipated consequences. The outcomes reveal that an integration optimization methodology is a successful approach to tackling the multi-objective optimal problem of determining the best CNC milling parameters for the cartwheel specimen made of SKD11 material in injection mold technology. It can also be expanded to apply to complicated multi-criteria optimization problems.

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Cite This Study

Dang et al. (2026) studied this question.

synapsesocial.com/papers/69c8c3bdde0f0f753b39ead2https://doi.org/10.3390/app16073261
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