Taguchi robust optimum design for reducing the cogging torque of EPS motors considering magnetic unbalance caused by manufacturing tolerances of PM

Kim, Kyu-Seob; Jung, Kyung‐Ho; Kim, Jimin; Hong, Jung-Pyo; Kim, Sŭng-il

doi:10.1049/iet-epa.2015.0638

Cited by 28 publications

(23 citation statements)

References 22 publications

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“…For the optimization of the investigated FSPMM under manufacturing variations, this is a kind of robust design optimization problem. To solve this problem, Taguchi parameter design, worst case design and design for six-sigma (DFSS) are three normally used methods [26,[32][33][34][35][36][37][38]. Among them, Taguchi parameter design method requires the least simulation cost.…”

Section: Taguchi Parameter Design Methodsmentioning

confidence: 99%

“…An orthogonal array consisting of an inner array and an outer array will be generated to conduct the simulations. Based on that, the signal/noise (S/N) ratio, as an index of motor quality, is used to determine the best combination of the control factor values that make the motor robust to those manufacturing tolerances [34][35][36][37][38].…”

Section: Taguchi Parameter Design Methodsmentioning

confidence: 99%

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Robust Design of a Low-Cost Permanent Magnet Motor with Soft Magnetic Composite Cores Considering the Manufacturing Process and Tolerances

Liu

Lei

et al. 2018

Energies

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This paper uses the Taguchi method to optimize the manufacturing process and robust design of a low-cost permanent magnet motor with soft magnetic composite (SMC) cores. For the manufacturing process, SMC cores are produced by using the molding technology without any wire cutting costs. To maximize the relative permeability and minimize the core loss, the Taguchi method is employed to identify the best control factor values for the heat treatment of SMC cores based on a series of experimental results. Due to the manufacturing tolerances, there are significant uncertainties in the core densities and motor dimensions, which will result in big performance variations for the SMC motors in the batch production. To obtain a robust design less sensitive to these tolerances, the conventional Taguchi parameter design method and a sequential Taguchi optimization method are presented to maximize the average torque and minimize the core loss of a low-cost PM motor. Through comparison, it is found that the proposed optimization method is efficient. It can provide an optimal design with better motor performance and manufacturing quality. The proposed method will benefit the industrial production of cost-effective PM-SMC motors with robust and compact designs.

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Section: Taguchi Parameter Design Methodsmentioning

confidence: 99%

Section: Taguchi Parameter Design Methodsmentioning

confidence: 99%

Robust Design of a Low-Cost Permanent Magnet Motor with Soft Magnetic Composite Cores Considering the Manufacturing Process and Tolerances

Liu

Lei

et al. 2018

Energies

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“…Equation 10shows the linear regression for the polishing efficiency (PE L ), which has R-sq = 91.47%, R-sq (adj) = 88.84%, and R-sq (pred) = 83.88%. Equation (11) shows the linear regression for Torque (T L ), which has R-sq = 94.34%, R-sq (adj) = 92.60%, and R-sq (pred) = 87.63%.…”

Section: Regression Analysis Of Polishing Efficiency and Torquementioning

confidence: 99%

“…Taguchi has presented a systematic method that efficiently selects the set of experiments from all possible combinations which are useful to optimize the output economically in terms of performance and quality [11][12][13][14][15]. This method uses orthogonal arrays which use the minimum number of experiments to extract the complete information about input parameters of the process.…”

Section: Introductionmentioning

confidence: 99%

Optimization of the Polishing Efficiency and Torque by Using Taguchi Method and ANOVA in Robotic Polishing

Mohsin

et al. 2020

Applied Sciences

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Surface finishing and polishing are important quality assurance processes in many manufacturing industries. A polished surface (low surface roughness) is linked with many useful properties other than providing an appealing gloss to the product, such as surface friction, electrical and chemical resistance, thermal conductivity, reflection, and product life. All these properties require an efficient polishing system working with the best machining parameters. This study analyzed the effects of the different input polishing parameters on the polishing efficiency and torque in the robotic polishing system for the circular-shaped workpieces (such as ring, cylinder, sphere, cone, etc.) by using the Taguchi method and analysis of variance (ANOVA). A customized rotatory passive gripper is designed to hold the watch bezel during polishing. Under the design of experiments (DOE) technique, Taguchi’s L 18 array is selected to find the optimized process parameters for polishing efficiency (based on surface roughness) and torque. Experimental results with the statistical analysis by signal-to-noise ratio and ANOVA (95% confidence level) confirms that the polishing force and tool speed are the most influencing parameter for polishing efficiency in the system. Linear regression equations are modeled for the polishing efficiency and torque. Finally, a confirmation test is conducted for the validation of the experimentation results against actual results.

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“…In Taguchi analysis, the signal-tonoise ratio (S/N) refers to the ratio of the power of signal to the power of noise [2,13]. Maximizing the S/N guarantees the minimum effects of noise on the measured output.…”

Section: Signal-to-noise Ratiomentioning

confidence: 99%

Taguchi Robust Design for Optimizing Surface Roughness of Turned AISI 1045 Steel Considering the Tool Nose Radius and Coolant as Noise Factors

Abbas

Ragab

Benyahia

et al. 2018

Advances in Materials Science and Engineering

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AISI 1045 has been widely used in many industrial applications requiring good wear resistance and strength. Surface roughness of produced components is a vital quality measure. A suitable combination of machining process parameters must be selected to guarantee the required roughness values. The appropriate parameters are generally defined based on ideal lab conditions since most of the researchers conduct their experiments in closed labs and ideal conditions. However, when repeating these experiments in industrial workshops, different results are obtained. Imperfect conditions such as the absence of a turning tool with definite specifications as shown in know-how “tool nose radius 0.4 mm” and its replacement with the closest existence tool “tool nose radius 0.8 mm” as well as the interruption of cutting fluid during work as a result of sudden failure in the coolant pump lead to the mentioned different lab-industrial conditions. These complications are common among normal problems that happened during the metal cutting process in realistic conditions and are called noise factors. In this paper, Taguchi robust design is used to select the optimum combination of the cutting speed, depth of cut, and feed rate to enhance the surface roughness of turned AISI 1045 steel bars while minimizing the effects of the two noise factors. The optimum parameters predicted by the developed model showed good agreement with the experimental results.

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Taguchi robust optimum design for reducing the cogging torque of EPS motors considering magnetic unbalance caused by manufacturing tolerances of PM

Cited by 28 publications

References 22 publications

Robust Design of a Low-Cost Permanent Magnet Motor with Soft Magnetic Composite Cores Considering the Manufacturing Process and Tolerances

Robust Design of a Low-Cost Permanent Magnet Motor with Soft Magnetic Composite Cores Considering the Manufacturing Process and Tolerances

Optimization of the Polishing Efficiency and Torque by Using Taguchi Method and ANOVA in Robotic Polishing

Taguchi Robust Design for Optimizing Surface Roughness of Turned AISI 1045 Steel Considering the Tool Nose Radius and Coolant as Noise Factors

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