1. Introduction
As a critical component in aerospace applications, aerodynamic experiments, and high-speed flow control systems, the wind tunnel nozzle plays a decisive role in determining airflow acceleration capacity and boundary layer development behavior, thereby directly influencing the accuracy and repeatability of experimental results [
1,
2,
3]. Under supersonic or high-Reynolds-number conditions, the nozzle must possess a highly continuous and smooth internal streamline structure to achieve an ideal isentropic expansion process and maintain a stable laminar flow field [
4,
5]. However, due to the dramatic variation in cross-sectional geometry along the axial direction, the large structural length, and the complex distribution of wall thickness, conventional machining methods such as CNC milling, electrical discharge machining, or welded assembly are often unable to balance geometric accuracy, structural strength, thermal stability, and manufacturing efficiency. In particular, for medium- and large-scale wind tunnel tests, extremely stringent requirements are imposed on dimensional stability, inner surface roughness, and overall concentricity of the nozzle, which further exacerbates the challenges in manufacturing.
In recent years, metal spinning has emerged as an efficient and high-precision plastic forming process, demonstrating unique advantages in the fabrication of thin-walled rotational components [
6,
7,
8]. Keneshlou et al. [
9] proposed a novel approach for spinning non-circular blanks by employing octagonal blanks made of AL-1050, taking anisotropy into account. Through experimental studies and numerical simulations, they investigated deviations in spring back and strain distribution of the formed parts compared with ideal geometries. Chen et al. [
10] examined the evolution of micro-structure in ellipsoidal heads under different spinning parameters, and their results indicated that proper control of forming angle, inter-pass angle, and feed rate could improve microstructural uniformity, thereby providing theoretical support for process optimization. Lin et al. [
11] addressed the dimensional control challenge of thin-walled ellipsoidal heads with large diameter-to-thickness ratios by proposing a two-step edge-constrained die-less spinning process, which effectively eliminated wrinkling and improved forming accuracy. Zhu et al. [
12] developed an edge-constrained die-less spinning method with an enlarged bottom allowance to suppress instability during the forming of thin-walled circular blanks, successfully achieving high-precision forming of large straight-wall aluminum alloy domes. Imamura et al. [
13] introduced a die-less hot spinning process for near-net forming of Ti-6Al-4V sheets, further revealing that shear, bending, and torsional loads coexist during hot spinning. This finding highlights the complex multi-mode coupled deformation mechanisms involved, offering theoretical guidance for high-precision spinning.
Many scholars have also developed various finite element (FE) models of the spinning process, with simulation studies primarily focusing on key issues such as wall-thickness variation, stress–strain evolution, temperature distribution, and material flow characteristics, gradually establishing a systematic theoretical framework. Roy et al. [
14] investigated the influence of axial feed rate on the shape and wall-thickness variation in hemispherical parts in die-less tube spinning. Three types of FE models—axisymmetric, shell-element, and solid-element models—were constructed, and the results indicated that the axisymmetric model is suitable for preliminary process design, while the solid-element model is more appropriate for detailed optimization. Jawale et al. [
15] established an FEM model to analyze the stress distribution and strain path in die-less spinning, and validated the model accuracy through spinning force experiments. Their findings revealed that the stress distribution characteristics in die-less spinning differ significantly from those in conventional spinning, although the wrinkling mechanisms remain similar, providing theoretical guidance for subsequent process path optimization. Wang et al. [
16] developed a reliable FE model to improve the closing spinning quality of plunger-type parts, and validated the model with spinning force experimental data. The results showed strong agreement between the simulation predictions and experimental measurements, confirming the model’s accuracy. Sedighi et al. [
17] established a three-dimensional explicit FE model to analyze strain distribution during hot die-less spinning of thick-walled aluminum alloy tubes, revealing pronounced circumferential compressive strain characteristics and free-end effects. Experimental results further demonstrated that this process enhanced the average mate-rial hardness by 18%, indicating a significant strengthening effect. Sangkharat et al. [
18] conducted a systematic study on the influence of spinning parameters on forming force and wall thickness through experiments combined with three-dimensional FE simulations and Taguchi design, enabling defect prediction and process optimization. Based on the FORGE software (
https://www.transvalor.com/en/forge, accessed on 3 October 2025), a three-dimensional FE model of the CRS process was also developed, with a particular focus on key modeling challenges such as mesh design, material constitutive behavior, and friction conditions. A moving local fine-mesh strategy was introduced around the roller, which ensured simulation accuracy while significantly improving computational efficiency [
19].
The hot spinning process of wind tunnel nozzles involves large deformation, elevated temperature, and multi-pass loading. During forming, the material undergoes nonuniform plastic flow in both axial and radial directions, and wall-thickness control is highly sensitive to process parameters. Owing to the continuous contraction from the large to the small diameter, load transfer becomes complex, and the stress–strain distribution varies dramatically, often leading to localized deformation, wall thinning, or spring back, which ultimately affect geometric accuracy and structural stability. Therefore, this study for the first time applies the die-less multi-pass hot spinning technique to high-strength 20MnMo steel, extending the material applicability of this process. The 20MnMo steel exhibits high flow stress, low ductility, and pronounced temperature–strain-rate sensitivity, which are significantly different from those of aluminum or titanium alloys and impose stricter requirements on path planning, thermal management, and interfacial friction control.
To address these forming challenges, a progressive local reduction strategy combining multi-segment deformation with incremental approximation to the throat section is proposed to achieve coordinated control of geometric accuracy and wall-thickness convergence. Meanwhile, a fully coupled three-dimensional explicit finite element model is developed based on the Johnson–Cook thermoplastic constitutive relationship and temperature-dependent coupling characteristics. Through the sequential transfer of equivalent strain and temperature fields across ten spinning passes, the model enables integrated optimization of the process path and parameters. This research establishes a closed-loop “material–process–simulation” framework, providing new theoretical support and technological routes for the high-precision forming of complex thin-walled components made of high-strength steels.
3. Spinning Process Parameter Design and Forming Characteristics of Wind Tunnel Nozzles
3.1. Analysis of Hot Spinning Process Parameters for the Wind Tunnel Nozzle
During the necking spinning process, the diameter undergoes significant variation accompanied by a complex three-dimensional stress–strain state, making the plastic flow behavior of the material highly sensitive to process parameters. Improper parameter selection may easily lead to defects such as cracking, instability, or wall-thickness nonuniformity, thereby compromising the forming accuracy and service reliability of thin-walled nozzle components. Therefore, it is essential to employ scientific experimental design methods to quantitatively analyze the main process variables, in order to clarify their influence on forming loads and material deformation behavior. This provides the theoretical foundation for parameter optimization and process stability control. In this study, process parameters were systematically explored at each forming pass to identify the optimal settings.
To clarify the rationale for process parameter selection, three key parameters—spindle speed, axial feed rate, and radial feed rate—were chosen, as these factors were identified in preliminary experiments and simulation studies as the dominant variables affecting deformation behavior. Spindle speed determines the rate of frictional heat generation and influences the degree of material thermal softening. Axial feed rate controls the continuity of material flow along the axial direction, directly affecting strain accumulation and wall-thickness convergence. Radial feed rate regulates the intensity of localized deformation and plays a critical role in achieving stable forming while preventing excessive thinning.
Therefore, the orthogonal experimental design was established using these three parameters for optimization, the factor–level table is shown in
Table 7. By analyzing the distributions of stress, strain, and temperature under different parameter levels, an optimal combination was obtained that balances formability, dimensional accuracy, and deformation uniformity, thereby ensuring the stability of the multi-pass hot spinning process.
To reduce the number of experiments and effectively investigate the combined effects of various factors and their levels, an L9 (3
3) orthogonal array was employed to design nine groups of process parameter combinations. Finite element numerical simulations were then conducted to obtain the maximum equivalent stress (σ
max) and maximum equivalent plastic strain (ε
max) corresponding to each combination, which were used as response indicators to characterize the forming load and deformation capacity of the component. The experimental design and results are summarized in
Table 8.
Based on the orthogonal experimental results of the first-pass necking spinning, it can be concluded that the process parameters exert a significant influence on both forming load and plastic deformation. Among the tested combinations, the parameter set of spindle speed 150 rpm, axial feed rate 135 mm/min, and radial feed rate 2.75 mm/min effectively reduced the maximum equivalent stress (468.41 MPa) while maintaining a reasonable equivalent plastic strain (2.79). This achieved an optimal balance between suppressing the risk of forming cracks and ensuring sufficient plastic flow of the material. Therefore, this parameter combination can be regarded as the preferred scheme for the first-pass necking spinning, providing a reference for parameter transition and overall optimization in subsequent multi-pass forming. Similarly, the remaining nine passes were also analyzed using the same orthogonal approach to determine their respective optimal process parameters; however, the detailed data and procedures are not reiterated here and are only applied and validated in the context of overall process optimization.
3.2. Optimized Process Parameters for the Wind Tunnel Nozzle Spinning
Based on the preceding orthogonal experimental analysis and finite element simulation results, the optimal process parameters for Passes 1–10 were systematically summarized, covering key variables including workpiece temperature, spindle speed, axial feed rate, and radial feed rate. The results are presented in
Table 9. This table not only provides a clear reference for parameter transition across the multi-pass forming sequence, but also reveals an evolutionary pattern of the spinning process characterized by constant high temperature, progressively increasing spindle speed, and gradually decreasing feed rates.
3.3. Stress and Strain Distribution in the Spinning Process of the Wind Tunnel Nozzle
During the first spinning pass, the nozzle exhibits significant stress and strain concentration, as shown in
Figure 7. The main deformation occurs in the roller contact zone and the middle-to-rear section of the necking area, where intense plastic flow takes place. The equivalent plastic strain increases progressively along the axial direction, indicating a gradual forming characteristic. This pass achieves effective preforming; however, the stress distribution remains non-uniform, and further optimization of the trajectory and parameters is needed to improve wall-thickness uniformity. The stress values shown in the figures are expressed in megapascals (MPa).
During the second spinning pass, the plastic deformation of the workpiece intensified, and the stress–strain distribution range expanded, as shown in
Figure 8. Significant stress concentration occurred in the roller–workpiece contact region and at the end of the necking section, where the material maintained a high-strength flow state. Compared with the first pass, the stress distribution became broader and smoother, while the strain increased continuously along the axial direction, consistent with the characteristics of the externally applied loading.
During the third spinning pass, the stress and strain within the workpiece continued to accumulate and gradually reached a stable state, as shown in
Figure 9. The roller contact region and the end of the necking section remained the primary areas of stress concentration, where the material yielded and entered a steady deformation stage. The equivalent plastic strain further increased, extending both axially and radially with a more uniform distribution. This pass enhanced strain accumulation in the forming zone and achieved better coordination between stress and strain.
During the fourth spinning pass, the stress and strain of the workpiece further evolved, exhibiting a distinct multi-pass accumulation behavior, as shown in
Figure 10. The equivalent stress was mainly concentrated in the roller contact region and the small-end necking area, with a more uniform distribution compared with the previous pass. The equivalent plastic strain continued to increase and extended along the axial direction, while the outer radial layer exhibited higher strain than the inner layer.
During the fifth spinning pass, the deformation of the workpiece tended to stabilize, primarily serving to control the small-end contour and achieve dimensional convergence, as shown in
Figure 11. The equivalent stress remained concentrated in the roller contact region and around the small-end area, indicating that the material was still undergoing high-intensity plastic deformation. The overall stress distribution became uniform. The equivalent plastic strain slightly decreased compared with the previous pass, with higher strain observed in the outer layer than in the inner layer, reflecting an outward-to-inward loading characteristic.
During the sixth spinning pass, the stress and strain of the workpiece exhibited pronounced regional concentration, as shown in
Figure 12. The equivalent stress was mainly concentrated in the necking section and the roller contact region, reflecting the characteristics of localized loading. The plastic strain was primarily distributed in the throat transition zone and the final necking area, indicating that material flow was concentrated within the regions of intense deformation.
During the seventh spinning pass, the deformation of the workpiece became more stable, primarily serving to refine the small-end contour and adjust residual stresses, as shown in
Figure 13. The equivalent stress was concentrated in the outer layer of the small-end region, while it significantly decreased in other areas. The strain was confined to the outer layer near the small-end tip, exhibiting a gentle gradient that ensured the final geometric accuracy and structural stability.
During the eighth spinning pass, the overall deformation of the workpiece was essentially completed, entering a stable fine-tuning stage, as shown in
Figure 14. High stress was concentrated in the outer layer at the small-end tip. This pass primarily focused on strain harmonization and boundary transition, accomplishing the final shaping of the small-end region and the release of residual stresses.
During the ninth spinning pass, the process primarily served to compact the final contour and coordinate residual stresses, as shown in
Figure 15. The equivalent stress was concentrated in the outer layer of the small-end region. The deformation zone was confined to the edge of the small end, with limited axial and radial expansion, ensuring the final geometry of the nozzle and effective control of residual stresses.
During the tenth spinning pass, the workpiece reached its final forming stage, primarily focusing on contour finishing and residual stress coordination, as shown in
Figure 16. High stress was concentrated in the outer layer and outlet region of the small end, serving to compact the end section and refine the overall contour.
Finite element analysis of the 1st–10th spinning passes reveals the stress–strain evolution law of the nozzle during the multi-pass necking process. The overall deformation can be divided into four stages: initial concentration, progressive accumulation, coordinated transition, and final stabilization. In the initial stage (Passes 1–3), stress is concentrated in the roller contact region, where the material undergoes intense plastic deformation, and the strain extends along both the axial and radial directions. During the accumulation stage (Passes 4–6), the range of stress and strain expands with a more uniform distribution, promoting wall-thickness convergence and contour refinement. In the transition stage (Passes 7–8), deformation tends to stabilize, focusing on local contour adjustment and residual stress coordination. Finally, in the stabilization stage (Passes 9–10), stress and strain converge and become uniformly distributed, completing the compaction and precision control of the small-end region.
It can be seen that during the multi-pass spinning process of the nozzle, the stress–strain evolution exhibits a progressive transition from concentration to homogenization and from accumulation to refinement. This pattern reveals the fundamental mechanical nature of the spinning process and demonstrates that a well-designed multi-pass forming path can effectively control wall thickness and improve geometric accuracy, thereby providing both theoretical and technological foundations for the high-quality forming of complex thin-walled structures.
4. Manufacturing Process and Results of Spun Wind Tunnel Nozzle
4.1. Hot Spinning Stage of the Wind Tunnel Nozzle
During the hot spinning stage, the workpiece was uniformly heated using a resistance furnace. To ensure temperature uniformity, the billet was held in the furnace for 30 min prior to spinning, allowing the temperature distribution to stabilize. Throughout the forming process, the surface temperature of the workpiece was continuously monitored in real time using thermocouples and an infrared pyrometer, and maintained within the range of 950 ± 10 °C. When the temperature deviated from the target value, the heating power was automatically adjusted to ensure a constant forming temperature.
Figure 17a shows the initial state of the workpiece and equipment before spinning. As the roller progressively applied localized deformation in successive passes, the metal underwent significant plastic flow under localized loading, enabling gradual diameter reduction and a rational redistribution of wall thickness along the convergent section.
Figure 17b illustrates the hot spinning process of the nozzle. The workpiece was heated by the flame to a high-temperature range of 900–1000 °C, achieving an ideal plastic state. Under the localized loading of the roller, the material experienced plastic flow and progressively formed the convergent section. This process clearly demonstrates the forming mechanism of hot spinning, characterized by localized loading and progressive shaping, in which multiple small deformations under elevated temperatures are accumulated to achieve precise control of both the overall geometry and wall thickness distribution.
4.2. Machining Stage of the Spun Wind Tunnel Nozzle
After turning and precision finishing, the geometric deviations of the workpiece are effectively corrected, and the dimensional accuracy at critical locations is significantly improved. The inner wall surface roughness meets the stringent aerodynamic requirements of the nozzle. A comparison between the post-machining and as-formed geometries indicates that the machining process not only enhances the surface quality but also ensures the final forming precision of the overall structure to a large extent.
Figure 18a shows the machining of the outer surface of the spun nozzle, while
Figure 18b illustrates the finishing of the inner surface.
4.3. Comparative Analysis of Wall Thickness and Contour Evolution
To verify the accuracy and applicability of the finite element model for the hot spinning process, the experimentally measured nozzle geometry and wall-thickness distribution were compared with the simulation predictions. By analyzing the external and internal contours as well as the axial evolution of wall thickness, the predictive capability of the model in representing geometric forming and material flow behavior during complex deformation was evaluated. The geometrical dimensions and key diameters were measured using a coordinate measuring machine (CMM) with an accuracy of ±2 μm. Each set of process parameters was tested three times, and the average value was taken as the final result. The standard deviation was calculated to assess repeatability, which was found to be less than 0.3%. The average deviation between the simulation and experimental results was less than 0.5%. The main sources of error include measurement accuracy, thermal expansion effects, material property variation, and sample clamping error, all of which were minimized through calibration and environmental control.
Figure 19 presents the overlapped contour comparison between the experimental specimen and the finite element simulation prediction. As can be observed, across the entire axial range, both the outer and inner surface profiles show good agreement between the simulation and the experimental measurements. In particular, within the necking section, the predicted contour curves closely match the experimental results in terms of shape variation, curvature distribution, and transition trend during contraction. This demonstrates the high accuracy and feasibility of the employed forming path planning strategy and mandrel-free deformation control method, providing a reliable foundation for subsequent process optimization.
Figure 20 illustrates the comparison of wall thickness evolution along the axial direction between the experimental measurements and finite element simulation results. As shown, the overall trend of the wall thickness distribution exhibits a high degree of consistency, indicating that the simulation model possesses strong predictive capability in capturing material migration behavior in both axial and radial directions. Furthermore, the simulation data closely track the experimental wall thickness variation across the entire axial span, with deviations well controlled within a small range. This further confirms the reliability and practical applicability of the developed thermal spinning finite element model in predicting deformation depth and wall thickness evolution.
Based on the combined analysis of
Figure 19 and
Figure 20, the simulation model demonstrates high accuracy not only in predicting the geometric contour but also in capturing the wall thickness variation trend. This verifies its effectiveness as a reliable tool for investigating the thermal spinning process of wind tunnel nozzles and optimizing corresponding process parameters. The model effectively reflects the multi-pass deformation behavior and material plastic flow characteristics, thus providing a robust numerical foundation for subsequent path optimization and structural performance improvement.
Despite the overall good agreement, localized deviations still exist, primarily concentrated in the converging region of the small-end contour and the deformation transition zone. The main causes may include the following: the simulation adopts an idealized constant friction coefficient, while in the actual spinning process, the friction state fluctuates with temperature rise, material hardening, and lubrication condition; the simulation model uses a fitted stress–strain curve for 20MnMo, whereas slight variations exist between different material batches; minor vibrations and transmission lags in the spinning machine during loading may lead to slight deviations of the actual roller trajectory from the planned path; especially in regions with sharp curvature transitions at the small end, there may be systematic errors caused by probe contact measurements and ultrasonic echo identification.