Next Article in Journal
Data-Driven Process FMEA for Flexible Manufacturing Systems: Framework and Industrial Case Study
Previous Article in Journal
Observability and Information Bounds in UUV Relative Navigation from Range-Rate
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Design Optimization for Acoustic Noise Reduction in Single-Phase Induction Motors: Effects of Capacitor Selection, Winding Configuration, and Rotor Eccentricity with Experimental Validation

by
Ufuk Muhammed Deveci
1,*,
Mustafa Gürkan Aydeniz
2 and
Engin Ayçiçek
2
1
Gamak Electric Motors, Dudullu OSB, İstanbul 34775, Türkiye
2
Electrical Engineering Department, Yildiz Technical University, İstanbul 34220, Türkiye
*
Author to whom correspondence should be addressed.
Appl. Sci. 2026, 16(8), 3759; https://doi.org/10.3390/app16083759
Submission received: 9 March 2026 / Revised: 1 April 2026 / Accepted: 7 April 2026 / Published: 11 April 2026

Abstract

This study investigates the primary electromagnetic sources of acoustic noise in single-phase induction motors and proposes design-oriented strategies for noise reduction. A 370 W, four-pole, 80-frame single-phase induction motor was designed, analyzed, and experimentally validated. Finite Element Method (FEM) simulations were conducted using Ansys Maxwell 2D to examine the effects of magnetic field distortion, magnetic saturation, and rotor eccentricity on torque ripple and inductance variation. The results demonstrate that these factors significantly increase electromagnetic force harmonics acting on the stator teeth and frame, leading to vibration and acoustic noise generation. In addition, inductance fluctuations caused by interphase magnetic coupling and air-gap harmonics were found to increase current harmonic content and potentially excite structural resonances. The influence of capacitor selection and winding configuration on magnetic saturation, phase displacement, and torque ripple was systematically evaluated. Prototype motors were manufactured and acoustic noise measurements were performed to experimentally validate the simulation results. Unlike previous studies that often investigate these parameters separately, this work presents a coupled analysis that explicitly links capacitor selection, winding configuration, and rotor eccentricity to inductance variation, torque ripple, and acoustic noise generation. The findings provide practical design guidelines for the development of low-noise single-phase induction motors and contribute to reducing electromagnetic vibration and acoustic emissions in electric machine design.

1. Introduction

Single-phase induction motors have been widely employed in numerous industrial sectors since their invention. These machines are extensively used in washing machines, compressors, refrigeration and kitchen appliances, heat circulation pumps, electric hand tools, fans, sewing machines, grain dryers, and many other industrial, agricultural, and residential applications [1]. Although their manufacturing process has become relatively straightforward with modern production technologies, their theoretical analysis remains challenging. The winding configurations, the presence of capacitive components, and the inherently elliptical magnetic field distribution make the operating principles and performance calculations of single-phase induction motors more complex. Understanding the interactions among different design parameters and their combined influence on motor performance is therefore nontrivial. Consequently, precise design studies are required to ensure both user satisfaction and compliance with international standards.
In applications where low noise and vibration are critical, special attention must be paid to motor design considerations. In this context, Zhu and Howe investigated the effects of magnetic circuit saturation and stator–rotor eccentricity on vibration and acoustic noise levels in single-phase induction motors [2]. Patxi Gonzalez et al. presented a comprehensive review of noise sources in electrical machines, addressing mechanical, aerodynamic, and electromagnetic noise components [3]. Sabin Sathyan et al. proposed a numerical computation technique based on the Finite Element Method (FEM) and Boundary Element Method (BEM), which provides insight into machine deformation and vibration behavior and reveals the principal frequency components in the vibration spectrum, thereby demonstrating how electrical energy is converted into acoustic noise [4].
In single-phase induction motors, electromagnetic noise and vibration primarily originate from deviations of the air-gap magnetic flux density distribution from its ideal sinusoidal form. Magnetic field distortions may arise from stator slot harmonics, nonlinear magnetic behavior due to saturation, rotor bar structure, and stator–rotor eccentricity. These distortions generate radial and tangential force pulsations in the air gap, leading to time-varying electromagnetic force harmonics acting on the stator teeth and frame. Similarly, frequency variation directly influences the magnetic circuit; therefore, in variable-frequency motor applications, it is of great importance to investigate the magnetic properties of stator core materials under different temperature conditions and harmonic contents. Studies considering magnetostriction effects in the calculation of vibration and noise in variable-frequency motors have also been conducted, providing valuable guidance for motor design optimization [5]. Recent studies have investigated electromagnetic noise in induction machines by analyzing air-gap flux harmonics and the resulting radial forces that contribute to vibration and acoustic noise. In some cases, structural modifications such as lamination design and geometry optimization are also used to reduce noise levels [6,7]. While these approaches can provide effective noise mitigation, they often require significant changes in motor geometry and manufacturing processes. In contrast, the present study focuses on design parameters such as capacitor selection and winding configuration, which can be adjusted without altering the core structure, providing a more practical and cost-effective approach.
Electronic noise associated with switching harmonics is also an important factor influencing vibration and acoustic noise in induction machines. Flux harmonics in the air gap generate radial forces acting on the stator structure, which may excite structural resonances and increase vibration and noise emission. In general, the harmonics of the air-gap flux originate from three main sources reported in the literature: spatial harmonics caused by the non-sinusoidal distribution of stator and rotor windings, permeance harmonics related to slot geometry and magnetic circuit characteristics, and harmonic currents flowing in the stator windings [8].
Magnetic saturation becomes particularly pronounced under near-rated load conditions and during startup, causing localized increases in flux density at tooth roots and back iron regions. This phenomenon contributes to time-varying differential inductance and, consequently, to torque ripple. Torque ripple can induce torsional vibrations in the shaft, periodic variations in bearing loads, and ultimately an increase in acoustic noise. In particular, the double-frequency torque component (2f component), inherently present due to the nature of single-phase operation, is of critical importance for vibration and noise performance.
Rotor eccentricity may occur in static, dynamic, or mixed forms, resulting in a circumferential variation of the air-gap length. This leads to angular modulation of air-gap permeance and the generation of sideband harmonics. The effects of eccentricity on both vibration spectra and acoustic noise have been demonstrated in the literature through experimental investigations and FEM-based analyses [9,10]. Furthermore, eccentricity produces characteristic frequency components in the current spectrum, making it significant for fault diagnosis purposes.
Inductance fluctuations, particularly in auxiliary-winding and capacitor-run single-phase induction motors, are influenced by the time-varying magnetic coupling between phases. When evaluated together with air-gap harmonics, these fluctuations increase current harmonic content and broaden the electromagnetic force spectrum. If these force components coincide with the natural frequencies of the stator stack, resonance-induced noise amplification may occur.
Within the scope of this study, the effects of magnetic field distortion, magnetic saturation, and rotor eccentricity on torque ripple, inductance variation, and the resulting acoustic noise in single-phase induction motors are comprehensively investigated. Both electromagnetic and structural improvement methods applicable at the design stage are evaluated. Unlike previous studies that typically address these parameters separately, this work adopts a holistic approach, aiming to provide practical design recommendations for the development of low-noise single-phase induction motors. Previous studies have primarily focused on individual parameters or detailed numerical modeling approaches, whereas the present study provides a combined and experimentally supported interpretation based on practical design variables. Unlike conventional studies that treat capacitor selection, winding configuration, and rotor eccentricity independently, this study analyzes their coupled interaction and links their combined influence to inductance variation, torque ripple, and acoustic noise generation. This study fills this gap by providing a unified and experimentally supported interpretation of noise generation mechanisms.

2. Operating Principle and Structure of Single-Phase Induction Motors

The primary difference between single-phase and three-phase induction motors lies in the asymmetrical winding structure of single-phase machines. A single-phase induction motor consists of two stator windings, namely the main winding and the auxiliary winding. These windings are spatially displaced by approximately 90 electrical degrees and typically have different impedance values. In single-phase induction motors, the main winding is generally located at the bottom of the stator slots (near the stator yoke), while the auxiliary winding is positioned at the upper part of the slots (near the air gap). The slot leakage inductance also varies depending on the position of the winding within the stator slot. Furthermore, in concentric coil winding structures, the number of turns in the inner, intermediate, and outer coils may differ, which affects both the total resistance of the windings and the harmonic content of the rotating magnetic field [11]. To create the required phase shift in the auxiliary winding current, a phase-shifting capacitor is connected in series with the auxiliary winding. The auxiliary winding–capacitor combination is then connected in parallel with the main winding, which is directly supplied from the motor terminals [12].
Nowadays, single-phase induction motors, which are widely used in industry, can be classified according to the type of capacitor employed. The first type is the permanent capacitor motor, used in applications where low starting torque is sufficient, such as impeller fans. The second type is the start-permanent capacitor motor, employed in applications requiring high starting torque, such as cranes, mixing machines, and compressors. In permanent capacitor motors, the capacitor is connected in series with the auxiliary winding and, consequently, in parallel with the main winding, remaining in the circuit during continuous operation.
In start-permanent capacitor motors, a high-capacitance starting capacitor is connected in parallel with the permanent capacitor and is disconnected when the motor reaches approximately 75% of its rated speed. The disconnection of this capacitor is typically achieved using a centrifugal switch or an electronic relay [13]. The schematic diagram of the permanent capacitor motor is shown in Figure 1.
Consequently, torque pulsations occur at twice the stator frequency [14]. The pulsating torque arises from the interaction of the forward and backward rotating magnetic fields, which causes the instantaneous power and electromagnetic torque drawn from the supply to vary with time [15]. The pulsating torque produces a humming effect, which causes single-phase motors to operate with higher noise levels compared to polyphase motors [14].

3. Impact of Design Parameters on Acoustic Noise in Single-Phase Induction Motors

In three-phase induction motors, the air-gap flux distribution is nearly circular due to the symmetrical winding structure. However, in single-phase induction motors, it should be noted that the phase displacement between the main and auxiliary winding currents is not exactly 90° under most operating conditions. Therefore, a perfectly circular electromagnetic flux trajectory cannot be expected [16].
This asymmetric flux distribution in the air gap may lead to the generation of magnetic field harmonics and localized magnetic saturation. Furthermore, in order to establish a phase difference between the main and auxiliary windings, the number of turns is intentionally designed to be different, and the conductor diameters are selected accordingly. As a result, the currents drawn by the two windings ( I m and I a ) are not identical. Whether the magnetic core reaches saturation and the magnitude of torque ripple are directly related to these winding parameters.
In addition to design optimization, certain manufacturing-related factors also directly influence motor performance. One of the most critical factors is stator–rotor eccentricity. Parameters such as efficiency, starting performance, thermal behavior, noise, and vibration levels are significantly affected by these factors. In this study, these performance parameters are examined particularly in terms of their contribution to noise and vibration characteristics.

3.1. Effect of Capacitor Selection

In order to evaluate the effect of capacitor selection on motor performance, all motor parameters were kept constant and FEM analyses were conducted using 15 µF, 20 µF, and 25 µF capacitors. Based on these analyses, the winding inductances and the torque–speed characteristics under nominal operating conditions were examined and interpreted. Table 1 presents the influence of capacitor variation on selected motor parameters. Here, I m , I a , V c , and α represent the main winding current, auxiliary winding current, capacitor voltage, and transformation ratio, respectively. The transformation ratio is defined as given in Equation (1):
α = N y N a
In this context, N y , and N a represent the number of turns of the auxiliary winding, and the number of turns of the main winding, respectively. Figure 2 illustrates the variation in the torque–speed curves under nominal operating conditions as a result of capacitor changes in the motor with a transformation ratio of 0.95. The phase differences between the main and auxiliary winding currents are presented in Table 1.
One of the principal reasons why the phase displacement deviates from 90 degrees is that a single-phase supply produces two magnetic field components in the stator, namely forward and backward rotating fields. Each of these oppositely rotating fields induces torques in opposite directions on the rotor conductors [13]. Consequently, the magnetic flux distribution in the air gap is not symmetrical as in a three-phase motor, but rather exhibits an elliptical pattern. This asymmetry leads to torque pulsations even under nominal operating conditions. The asymmetric flux density in the air gap, which is converted into electromagnetic force, generates non-uniform radial forces on the stator teeth. These forces, together with torque ripple, constitute a significant source of increased noise and vibration [17]. The selection of the capacitor directly affects the phase difference between the two windings and, consequently, the flux distribution. Therefore, among three motors with identical windings, the motor equipped with a 15 μF capacitor is expected to exhibit a lower noise level. The disadvantage of using a 15 μF capacitor is the reduced starting torque; however, since a start-and-run capacitor motor configuration is employed, the reduction in starting torque has been disregarded in this study.

3.2. Impact of Main–Auxiliary Winding Configuration on Motor Performance

As previously stated, the magnetic field and winding structure of a single-phase induction motor are inherently asymmetric. Therefore, the selection of the number of turns in the main and auxiliary windings, as well as the transformation ratio (α) representing the relationship between them, has a significant influence on the motor characteristics. Understanding these effects facilitates approaching an optimal motor design during the design stage.
In this study, in order to examine the influence of the number of turns, the torque–speed and winding inductance characteristics of two different motors with transformation ratios of 0.95 and 1.17 were compared. Table 2 presents several characteristic parameters of the motor for two different winding configurations and various capacitor selections. The corresponding characteristic curves are illustrated in Figure 3.
An examination of Table 2 indicates that, for constant winding turns, increasing the capacitance of the run capacitor leads to an increase in the auxiliary winding current, while the main winding current decreases. This directly results in an increase in the starting torque of the motor. However, it also causes an increase in the magnetic flux densities in both the stator and rotor teeth. The increased flux density, particularly evident in the rotor teeth, initiates local saturation in the narrow tooth-tip regions. These local saturations reduce the magnetic permeability and consequently lead to a relative distortion of the air-gap flux distribution compared to the low-flux-density condition. As the flux densities at the stator and rotor tooth roots continue to increase, the magnetic reluctance becomes dependent on the rotor position. As a result, the variation in reluctance gives rise to increased ripples in the inductance characteristics. This behavior is numerically demonstrated in Table 2. Such ripples in the inductance and torque characteristics generate radial electromagnetic forces and, consequently, acoustic noise. As the relative torque and inductance increase, a corresponding increase in noise levels becomes inevitable.
On the other hand, when the transformation ratio is increased at the same capacitance value—meaning that the number of turns in the auxiliary winding exceeds that of the main winding—the phase difference between the two winding currents exceeds 90°. For instance, when two different motors equipped with a 20 μF capacitor are examined, it can be observed that the inductance ripple increases by approximately three to four times, while the torque ripple increases by nearly 40%. Under these conditions, an increase in electromagnetic vibrations is expected, which in turn physically manifests as increased acoustic noise. Similar increases in inductance ripple are also observed for the motor equipped with a 25 μF capacitor. In the previous section, the importance of the correlation between the main winding, auxiliary winding, and capacitor was emphasized. When two motors with different winding configurations but both employing a 15 μF capacitor are analyzed, an increase in inductance ripple is again observed. However, unlike the other cases, a reduction in torque ripple is obtained. In this study, the electromagnetic torque is expressed using a conventional formulation based on inductance variation with respect to rotor position, as given in Equation (2).
T = 1 2 i m 2 d L m d θ r + 1 2 i a 2 d L a d θ r + i m i a d M d θ r
In this context,   T , i m , i a , L m , L a , M and θ r represent torque, main winding current, auxiliary winding current, main winding self-inductance, auxiliary winding self-inductance, mutual inductance between the main and auxiliary windings and rotor position, respectively. As indicated by this relationship, the torque is influenced not only by the position-dependent variation of inductance but also by the square of the current. Since the current levels are relatively lower in this case, the torque characteristic becomes smoother. From this perspective, ensuring the proper correlation between the windings and the capacitor is beneficial for suppressing the harmonic components of torque. Even if the inductance ripple increases, acoustic noise is physically more sensitive to torque ripple than to inductance variations alone. In addition to this qualitative interpretation, the relationship between inductance variation, torque ripple, and acoustic noise can be described through a simplified coupling mechanism. As indicated by Equation (2), the electromagnetic torque is directly influenced by the rotor-position-dependent derivative of inductance, showing that torque ripple is governed by the angular variation of inductive coupling. The resulting air-gap flux-density harmonics generate radial electromagnetic pressure acting on the stator surface, which can be expressed as
p r = B 2 2 μ 0
where p r is the radial electromagnetic pressure, B is the air-gap flux density, and μ 0 is the permeability of free space. Since the air-gap region has permeability close to free space, this formulation provides a valid approximation. These force components excite the structural vibration modes of the stator, and the resulting vibration manifests as acoustic noise. This provides a semi-quantitative framework linking electromagnetic design parameters to noise generation.

3.3. Effect of Stator–Rotor Eccentricity

As discussed in the previous sections, in addition to electromagnetic noise originating from the magnetic field in the air gap, acoustic noise also includes mechanical noise generated by bearings, stator–rotor eccentricity, and mechanical imbalances [3]. Andrei Negoita et al. [18] conducted a detailed study investigating the effect of stator–rotor eccentricity on the sound level of a single-phase induction motor. Their results demonstrated that, in a motor with static eccentricity, the radial force (expressed in Newtons) increases, leading to a corresponding rise in noise level. The variation of inductance in the air gap depends on the magnetic permeability of the air-gap region, which in turn is directly related to changes in the air-gap length. For this reason, eccentricity must be taken into consideration [13]. In other words, stator–rotor eccentricity resulting from manufacturing tolerances or faults leads not only to magnetic noise due to air-gap distortion but also to mechanical noise caused by unbalanced forces acting on the bearing assemblies. In order to observe this effect, the designed motors were manufactured under two different conditions: with minimum eccentricity and with intentionally introduced eccentricity of approximately 30%. The experimental results obtained from these two cases were then comparatively evaluated. Figure 4 illustrates representative stator–rotor relative positions under static and dynamic eccentricity conditions.

4. Experimental Validation of Prototype Motors via Acoustic Noise Measurements

In the previous sections, factors affecting the noise level of single-phase induction motors were analyzed from both electromagnetic and mechanical perspectives. The influence of magnetic flux distributions in the air gap on the main and auxiliary winding self-inductances and on the electromagnetic torque was examined. Additionally, the effects of capacitor and winding variations on the winding currents, magnetic saturation in the stator and rotor, and the phase difference between the windings were evaluated based on the analysis results. In this section, the acoustic noise levels of the manufactured prototype motors were measured under no-load conditions according to the procedure specified in IEC 60034-9 [19]. Acoustic noise measurements were performed in a semi-anechoic laboratory environment using a calibrated Class2 sound level meter (MRC, SL-4035SD) positioned at a distance of 1 m from the motor surface. Each measurement was repeated three times and the average value was recorded in order to minimize experimental uncertainty. The measured noise levels are presented comparatively in Table 3, expressed in decibels (dB). Two prototypes of the motor equipped with a 15 μF run capacitor were produced: one with minimal eccentricity (<5%) and the other with approximately 30% eccentricity. The corresponding noise levels of these two motors are compared in Figure 5, highlighting the effect of rotor–stator eccentricity on acoustic performance.
The standard deviation of repeated measurements was found to be within 0.4–0.5 dB, indicating good repeatability of the experimental setup. The overall measurement uncertainty is estimated to be within ±0.8 dB. The variation between repeated measurements remains significantly lower than the differences observed between test cases. When Table 2 and Table 3 are evaluated together, they clearly demonstrate the coupled influence of capacitor selection, winding configuration, and rotor eccentricity on torque ripple and acoustic noise levels. The results show that variations in these parameters simultaneously affect electromagnetic behavior and noise generation, indicating a consistent and monotonic relationship. An increase in torque ripple is consistently associated with an increase in the measured noise level, as it reflects the underlying electromagnetic force harmonics acting on the stator structure. Although the correlation is not strictly linear due to the influence of structural and mechanical factors, the observed trend provides quantitative support for the proposed coupling between electromagnetic excitation and acoustic noise. The primary cause of the observed increase in acoustic noise levels is the distortion of the air-gap magnetic flux distribution, which leads to torque ripple, combined with the increased bearing loads resulting from eccentricity. The air-gap flux distribution is illustrated in Figure 6. The differences between the flux densities at the stator and rotor tooth roots and those at the regions corresponding to the stator slot openings result in position-dependent variations in inductance and, consequently, in torque ripple. These instantaneous variations contribute directly to the increase in noise levels. Furthermore, as expressed in Equation (2), the torque depends not only on the inductance but also on the current magnitude. Therefore, by selecting an appropriate combination of winding configuration and run capacitor, the impact of inductance variations on torque fluctuations can be minimized, thereby reducing the resulting acoustic noise.
In Figure 7, the differences in magnetic flux densities between motors with two different winding and capacitor configurations are clearly illustrated. The simulations were performed using Ansys Maxwell (Ansys Inc., Canonsburg, PA, USA), version 2022 R2. The implications of these differences on motor performance have been discussed throughout this manuscript, particularly in the Discussion section.

5. Discussion

The application scope of electric motors continues to expand, making low noise a critical design requirement. Unlike three-phase machines, single-phase induction motors are typically supplied directly from the mains, limiting control-based noise reduction methods. Therefore, acoustic performance in these machines primarily depends on electromagnetic design and manufacturing quality.
The results show that magnetic saturation leads to asymmetric flux distribution in the air gap, increasing harmonic content. These harmonics generate radial electromagnetic force components that excite structural vibration modes, resulting in acoustic noise. Torque ripple reflects this behavior as a consequence of time-varying electromagnetic forces.
Noise generation is strongly influenced by the interaction between capacitor selection and winding configuration. Improper phase shift increases field asymmetry, harmonic content, and force amplitudes. In addition, rotor eccentricity introduces air-gap variations that further enhance harmonic excitation and mechanical loading.
These findings indicate that acoustic noise cannot be attributed to a single parameter but arises from the coupled interaction between electromagnetic field distortion, force harmonics, and structural response.
It should be noted that the peak-to-peak torque ripple values obtained from FEM are influenced by modeling assumptions and numerical sensitivity. However, the simulations reliably capture the relative trends between different design configurations, and torque ripple is therefore used as a comparative indicator rather than an absolute measure.
From a design perspective, low-noise operation requires a holistic approach in which capacitor selection, winding configuration, and geometric tolerances are jointly optimized. Similar observations regarding electromagnetic noise sources, eccentricity effects, and mitigation approaches have been reported in previous studies [20,21,22].

6. Conclusions

Although single-phase induction motors inherently exhibit relatively higher acoustic noise levels compared to three-phase motors, this study clearly outlines the design measures necessary to mitigate noise in such motors. The optimization of winding configurations and capacitor selection, combined with careful attention to manufacturing quality, is highlighted as an effective strategy to control noise. Even when the magnetic flux distribution is not perfectly circular, reducing its peak values is essential to minimize variations in inductance and torque. This work contributes to the existing literature by providing a systematic approach for correlating winding and capacitor design with acoustic performance, and by demonstrating how thoughtful design and manufacturing considerations can directly reduce both electromagnetic and mechanical noise in single-phase induction motors, thereby offering practical guidance for low-noise motor design. The main contribution of this study is the identification of the coupled influence of capacitor selection, winding configuration, and rotor eccentricity on acoustic noise behavior. This relationship is supported by both FEM analysis and experimental results (Table 3 and Figure 5), demonstrating the combined effect of these parameters on electromagnetic excitation and acoustic response. Furthermore, the study provides a novel framework for integrating electromagnetic and mechanical design parameters, emphasizing how coordinated design decisions can achieve measurable reductions in acoustic noise, which is critical for both industrial and household motor applications.

Author Contributions

Conceptualization, U.M.D., M.G.A. and E.A.; methodology, U.M.D.; software, U.M.D.; validation, U.M.D.; formal analysis, U.M.D.; investigation, U.M.D.; resources, U.M.D.; writing—original draft preparation, U.M.D.; writing—review and editing, M.G.A. and E.A.; supervision, M.G.A. and E.A. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The original contributions presented in the study are included in the article, further inquiries can be directed to the corresponding author.

Acknowledgments

The authors would like to thank GAMAK Electric Motors and its R&D Design team for their invaluable support in motor prototyping, experimental setup, and validation of the test results. Their technical assistance and provision of materials were essential for the successful completion of the experimental phase of this study.

Conflicts of Interest

Author Ufuk Muhammed Deveci was employed by the company Gamak Electric Motors. The authors declare that GAMAK Electric Motors provided design and prototyping resources but did not influence the study.

References

  1. Karnavas, Y.L.; Chasiotis, I.D. Design and manufacturing of a single-phase induction motor: A decision aid tool approach. Int. Trans. Electr. Energ. Syst. 2017, 27, e2357. [Google Scholar] [CrossRef] [Scilit]
  2. Zhu, Z.Q.; Howe, D. Effect of rotor eccentricity and magnetic circuit saturation on acoustic noise and vibration of single-phase induction motors. Electr. Mach. Power Syst. 1997, 25, 443–457. [Google Scholar] [CrossRef] [Scilit]
  3. Gonzalez, P.; Buigues, G.; Mazon, A.J. Noise in Electric Motors: A Comprehensive Review. Energies 2023, 16, 5311. [Google Scholar] [CrossRef] [Scilit]
  4. Sathyan, S.; Belahcen, A. Acoustic Noise Computation of Electrical Motors Using the Boundary Element Method. Energies 2020, 13, 245. [Google Scholar] [CrossRef] [Scilit]
  5. Su, Z.; Luo, L.; Liu, J.; Li, Z.; Luo, H.; Bai, H. Research on Vibration and Noise of Induction Motorunder Variable Frequency. Symmetry 2022, 14, 569. [Google Scholar] [CrossRef] [Scilit]
  6. Kim, Y.-S.; Lee, H.-K.; Yang, J.-W.; Jung, W.-S.; Choi, Y.-T.; Jang, J.-H.; Kim, Y.-J.; Shin, K.-H.; Choi, J.-Y. Electromagnetic Noise and Vibration Analyses in PMSMs: Considering Stator Tooth Modulation and Magnetic Force. Electronics 2025, 14, 2882. [Google Scholar] [CrossRef] [Scilit]
  7. Yang, T.; Chen, X.; Liu, Y.; Luo, L.; Wang, Y.; Miao, Y.; Bin, S. Research on Electromagnetic Noise Suppression Methods for Vehicle-Mounted Induction Motors. Energies 2025, 18, 5430. [Google Scholar] [CrossRef] [Scilit]
  8. Henda, B.; Khedher, A. Acoustic Noise of Induction Motor Drive with Voltage-Source Inverter by Random Space Vector PWM: Simulation and Experimentation Analysis. Appl. Sci. 2025, 15, 4646. [Google Scholar] [CrossRef] [Scilit]
  9. Donat, M.; Dusek, D. Eccentrically mounted rotor pack and its influence on the vibration and noise of an asynchronous generator. J. Sound Vib. 2015, 344, 503–516. [Google Scholar] [CrossRef] [Scilit]
  10. Kim, D.; Kim, D.K.; Park, M. Rotor eccentricity in electric machines: An analytical framework with experimental validation for fault diagnosis. Mech. Syst. Signal Process. 2025, 244, 113776. [Google Scholar] [CrossRef] [Scilit]
  11. Costa, U.P.; Pelizari, A.; Costa, E.C.M.; Bruzinga, G.R. Comparative Analysis in Single-Phase Induction Motors: Analytical, Numerical, and Load Tests. IEEE Access 2025, 13, 180578–180592. [Google Scholar] [CrossRef] [Scilit]
  12. Golsorkhi, M.S.; Binandeh, H.; Savaghebi, M. Online Efficiency Optimization and Speed Sensorless Control of Single-Phase Induction Motors. Appl. Sci. 2021, 11, 8863. [Google Scholar] [CrossRef] [Scilit]
  13. Deveci, U.M.; Ayçiçek, E. Cost-effective IE2 high-efficiency single-phase induction motor design and prototyping. Eng. Sci. Technol. Int. J. 2025, 61, 101921. [Google Scholar] [CrossRef] [Scilit]
  14. Sen, P.C. Principles of Electric Machines and Power Electronics, 3rd ed.; Wiley-IEEE: New York, NY, USA, 2014; pp. 362–368. [Google Scholar]
  15. Sarioglu, K. Elektrik Makinalarının Temelleri: Asenkron Makinalar, 2nd ed.; Çağlayan Kitabevi: Istanbul, Turkey, 1983; pp. 212–220. [Google Scholar]
  16. Shami, U.T. A novel technique to determine the required capacitance for a single phase induction motor by applying roundness algorithm. Measurement 2019, 142, 79–83. [Google Scholar] [CrossRef] [Scilit]
  17. Hrabovcova, V.; Kalamen, L.; Sekerak, P.; Rafajdus, P. Determination of single phase induction motor parameters. In Proceedings of the 2010 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM), Pisa, Italy, 14–16 June 2010; pp. 287–292. [Google Scholar]
  18. Negoita, A.; Scutaru, G.; Peter, I.; Ionescu, R.M.; Plesa, O.; Nistor, C. Influence of rotor static eccentricity on the noise level of a single phase squirrel cage induction motor. In Proceedings of the 2012 13th International Conference on Optimization of Electrical and Electronic Equipment (OPTIM), Brasov, Romania, 24–26 May 2012; pp. 373–378. [Google Scholar]
  19. IEC 60034-9; Rotating Electrical Machines—Part 9: Noise Limits. International Electrotechnical Commission: Geneva, Switzerland, 2021.
  20. Ermolaev, A.; Erofeev, V.; Plekhov, A.; Titov, D. Active reduction of magnetic noise occuring in the stators of an induction motors. Vibroeng. Proc. 2021, 38, 172–178. [Google Scholar] [CrossRef] [Scilit]
  21. Petryna, J.; Duda, A.; Sulowicz, M. Eccentricity in Induction Machines—A Useful Tool for Assessing Its Level. Energies 2021, 14, 1976. [Google Scholar] [CrossRef] [Scilit]
  22. Challa, G.; Reddy, M.D. Acoustic Noise Mitigation in Slip Angle Controlled DTC of Open-End Winding Induction Motor Drive Using Dual Randomized AISPWM for EV Application. Int. J. Electr. Electron. Res. 2024, 12, 19–24. [Google Scholar] [CrossRef] [Scilit]
Figure 1. Permanent capacitor single-phase induction motor schematic diagram.
Figure 1. Permanent capacitor single-phase induction motor schematic diagram.
Applsci 16 03759 g001
Figure 2. The variation in the torque–speed curves under nominal operating conditions as a result of capacitor changes in the motor with a transformation ratio of 0.95. (a) 15 µF capacitor; (b) 20 µF capacitor; (c) 25 µF capacitor.
Figure 2. The variation in the torque–speed curves under nominal operating conditions as a result of capacitor changes in the motor with a transformation ratio of 0.95. (a) 15 µF capacitor; (b) 20 µF capacitor; (c) 25 µF capacitor.
Applsci 16 03759 g002
Figure 3. Torque-Speed curves: (a) 15 µF capacitor; (b) 20 µF capacitor; (c) 25 µF capacitor.
Figure 3. Torque-Speed curves: (a) 15 µF capacitor; (b) 20 µF capacitor; (c) 25 µF capacitor.
Applsci 16 03759 g003aApplsci 16 03759 g003b
Figure 4. Schematics of rotor eccentricity.
Figure 4. Schematics of rotor eccentricity.
Applsci 16 03759 g004
Figure 5. The corresponding noise levels of ideal eccentricity and 30% eccentricity.
Figure 5. The corresponding noise levels of ideal eccentricity and 30% eccentricity.
Applsci 16 03759 g005
Figure 6. Air-gap flux distribution. Arrows indicate the regions corresponding to the tooth roots and slot openings.
Figure 6. Air-gap flux distribution. Arrows indicate the regions corresponding to the tooth roots and slot openings.
Applsci 16 03759 g006
Figure 7. Magnetic flux density: (a) α 1 —15 µF capacitor; (b) α 2 —25 µF capacitor.
Figure 7. Magnetic flux density: (a) α 1 —15 µF capacitor; (b) α 2 —25 µF capacitor.
Applsci 16 03759 g007
Table 1. Influence of capacitor variation on selected motor parameters.
Table 1. Influence of capacitor variation on selected motor parameters.
15 µF20 µF25 µF
I m (A)1.61.050.72
I a (A)1.311.882.48
V c (V)275294311
α0.950.950.95
Stator Teeth Flux Density (T)1.471.551.58
Rotor Teeth Flux Density (T)1.611.691.73
Torque Ripple (%)5668151
Main Winding Inductance Ripple (%)469
Aux Winding Inductance Ripple (%)71736
Main Winding Current Density ( A / m m 2 ) 6.924.852.9
Aux Winding Current Density ( A / m m 2 ) 3.34.76.23
Phase Shift (Degrees)818284
Table 2. Several parameters for two different winding configurations and various capacitors.
Table 2. Several parameters for two different winding configurations and various capacitors.
α 1   =   0.95 α 2   =   1.17
15 μF20 μF25 μF15 μF20 μF25 μF
I m (A)1.61.050.721.621.341.16
I a (A)1.311.882.481.532.162.81
V c (V)275294311321.8341357
Stator Teeth Flux Density (T)1.471.551.581.651.701.77
Rotor Teeth Flux Density (T)1.611.691.731.811.861.93
Air-gap Flux Density (T)0.680.710.730.710.79
Torque Ripple (%)56681512094173
Main Winding Inductance Ripple (%)46921.22528
Aux Winding Inductance Ripple (%)71736295066
Main Winding Current Density ( A / m m 2 ) 6.924.852.96.955.44.65
Aux Winding Current Density ( A / m m 2 ) 3.34.76.234.36.077.95
Phase Shift (Degrees)81828494102.1113
Table 3. Measured acoustic noise levels (dB) for different capacitor values and winding configurations, including standard deviation and measurement uncertainty.
Table 3. Measured acoustic noise levels (dB) for different capacitor values and winding configurations, including standard deviation and measurement uncertainty.
α 1   =   0.95 α 2   =   1.17
15 μF20 μF25 μF15 μF20 μF25 μF
Noise Level ( d B )575962536068
Uncertainty ( ± dB) ± 1 ± 1 ± 1 ± 1 ± 1 ± 1
Standart Deviation0.40.50.30.50.60.4
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.

Share and Cite

MDPI and ACS Style

Deveci, U.M.; Aydeniz, M.G.; Ayçiçek, E. Design Optimization for Acoustic Noise Reduction in Single-Phase Induction Motors: Effects of Capacitor Selection, Winding Configuration, and Rotor Eccentricity with Experimental Validation. Appl. Sci. 2026, 16, 3759. https://doi.org/10.3390/app16083759

AMA Style

Deveci UM, Aydeniz MG, Ayçiçek E. Design Optimization for Acoustic Noise Reduction in Single-Phase Induction Motors: Effects of Capacitor Selection, Winding Configuration, and Rotor Eccentricity with Experimental Validation. Applied Sciences. 2026; 16(8):3759. https://doi.org/10.3390/app16083759

Chicago/Turabian Style

Deveci, Ufuk Muhammed, Mustafa Gürkan Aydeniz, and Engin Ayçiçek. 2026. "Design Optimization for Acoustic Noise Reduction in Single-Phase Induction Motors: Effects of Capacitor Selection, Winding Configuration, and Rotor Eccentricity with Experimental Validation" Applied Sciences 16, no. 8: 3759. https://doi.org/10.3390/app16083759

APA Style

Deveci, U. M., Aydeniz, M. G., & Ayçiçek, E. (2026). Design Optimization for Acoustic Noise Reduction in Single-Phase Induction Motors: Effects of Capacitor Selection, Winding Configuration, and Rotor Eccentricity with Experimental Validation. Applied Sciences, 16(8), 3759. https://doi.org/10.3390/app16083759

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop