Optimization of Structural Parameters for 304 Stainless Steel Specific Spiral Taps Based on Finite Element Simulation

To address the issues of large errors, low accuracy, and time-consuming simulations in finite element (FE) models of tapping processes, which hinder the identification of optimal structural parameters, this study integrates FE simulation with experimental testing to optimize the structural parameters of spiral taps specifically designed for stainless steel. Initially, single-factor experiments were conducted to analyze the influence of mesh parameters on experimental outcomes, leading to the identification of optimal mesh coefficients. Subsequently, the accuracy of the FE tapping simulation model was validated by comparing trends in axial force, torque, and chip morphology between simulations and actual tapping experiments. Orthogonal experimental design combined with entropy weight analysis and range analysis was then employed to conduct FE simulations. The results indicated that the optimal structural parameter combination is a helix angle of 43°, cone angle of 19°, and cutting edge relief amount of 0.18 mm. Finally, based on this combination, optimized spiral taps were manufactured and subjected to comparative performance testing. The results demonstrated significant improvements: the average maximum axial force decreased by 33.22%, average maximum torque decreased by 13.41%, average axial force decreased by 38.22%, and average torque decreased by 24.87%. Error analysis comparing corrected simulation results with actual tapping tests revealed axial force and torque error rates of 5.04% and 0.24%, respectively.

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Publication Details

Journal
Machines
Published
2025-07-26
DOI
https://doi.org/10.3390/machines13080655
Primary Topic
Advanced machining processes and optimization
Type
article
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article

Optimization of Structural Parameters for 304 Stainless Steel Specific Spiral Taps Based on Finite Element Simulation

Jianxin Pi, Wenqiang Zhang, Yang Hong-xi
Machines
Advanced machining processes and optimization
article

Optimization of Structural Parameters for 304 Stainless Steel Specific Spiral Taps Based on Finite Element Simulation

Jianxin Pi, Wenqiang Zhang, Yang Hong-xi
article en

Abstract

To address the issues of large errors, low accuracy, and time-consuming simulations in finite element (FE) models of tapping processes, which hinder the identification of optimal structural parameters, this study integrates FE simulation with experimental testing to optimize the structural parameters of spiral taps specifically designed for stainless steel. Initially, single-factor experiments were conducted to analyze the influence of mesh parameters on experimental outcomes, leading to the identification of optimal mesh coefficients. Subsequently, the accuracy of the FE tapping simulation model was validated by comparing trends in axial force, torque, and chip morphology between simulations and actual tapping experiments. Orthogonal experimental design combined with entropy weight analysis and range analysis was then employed to conduct FE simulations. The results indicated that the optimal structural parameter combination is a helix angle of 43°, cone angle of 19°, and cutting edge relief amount of 0.18 mm. Finally, based on this combination, optimized spiral taps were manufactured and subjected to comparative performance testing. The results demonstrated significant improvements: the average maximum axial force decreased by 33.22%, average maximum torque decreased by 13.41%, average axial force decreased by 38.22%, and average torque decreased by 24.87%. Error analysis comparing corrected simulation results with actual tapping tests revealed axial force and torque error rates of 5.04% and 0.24%, respectively.

MachinesVol. 13(8)
Chinese Academy of Sciences (CN), Institute of Engineering Thermophysics (CN), China Agricultural University (CN)
Openalex Percentile: Top 82%
Advanced machining processes and optimization
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Optimization of Structural Parameters for 304 Stainless Steel Specific Spiral Taps Based on Finite Element Simulation — Jianxin Pi, Wenqiang Zhang, et al. · Machines (2025) | TGRS Research Map | TGRS