Reduction of Cogging Torque in Permanent Magnet Synchronous Motor Using the Taguchi Method

2013 ◽  
Vol 278-280 ◽  
pp. 143-148 ◽  
Author(s):  
Jian Jian Fan ◽  
Jian Hua Wu
Keyword(s):  
Taguchi Method ◽  
Permanent Magnet ◽  
Analytical Model ◽  
Permanent Magnet Synchronous Motor ◽  
Optimization Method ◽  
Taguchi Methods ◽  
Taguchi Optimization ◽  
Cogging Torque ◽  
Taguchi Optimization Method ◽  
Peak Value

This paper presents the use of Taguchi methods in optimizing a PMSM for reducing peak value of cogging torque. The analytical model of cogging torque is derived by the energe method. The Taguchi optimization method was used to generate the experiment samples, which were calculated in 2-D and 3-D FEA. Three different parameters of PMSM, such as skew ratio, pole embrace and stator slot width were optimized. ANOVA was used to analysis the effect of different factors in Taguchi method.

Torque Pulsation Minimization of Permanent Magnet Synchronous Motor Using the Taguchi Method

2013 ◽  
Vol 655-657 ◽  
pp. 491-495
Author(s):  
Jian Jian Fan ◽  
Jian Hua Wu
Keyword(s):  
Taguchi Method ◽  
Permanent Magnet ◽  
Analytical Model ◽  
Energy Method ◽  
Permanent Magnet Synchronous Motor ◽  
Optimization Method ◽  
Synchronous Motor ◽  
Taguchi Methods ◽  
Taguchi Optimization ◽  
Taguchi Optimization Method

The torque pulsation was minimized using the Taguchi methods in this paper. The analytical model of torque was derived by the energy method. The Taguchi optimization method was used to generate the experiment samples, which were calculated in 2-D and 3-D FEA. Three different parameters of PMSM, such as skew ratio, pole embrace and stator slot width were optimized. ANOVA was used to analysis the effect of different factors in Taguchi method. The superiority of the optimized PMSM was also verified further through FEA.

scholarly journals Optimization of a 3D-Printed Permanent Magnet Coupling Using Genetic Algorithm and Taguchi Method

Electronics ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 494
Author(s):  
Ekaterina Andriushchenko ◽  
Ants Kallaste ◽  
Anouar Belahcen ◽  
Toomas Vaimann ◽  
Anton Rassõlkin ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Taguchi Method ◽  
Permanent Magnet ◽  
Optimization Problems ◽  
Optimization Method ◽  
Taguchi Optimization ◽  
Torque Density ◽  
Electromagnetic Devices ◽  
3D Printed ◽  
Manufacturing Techniques

In recent decades, the genetic algorithm (GA) has been extensively used in the design optimization of electromagnetic devices. Despite the great merits possessed by the GA, its processing procedure is highly time-consuming. On the contrary, the widely applied Taguchi optimization method is faster with comparable effectiveness in certain optimization problems. This study explores the abilities of both methods within the optimization of a permanent magnet coupling, where the optimization objectives are the minimization of coupling volume and maximization of transmitted torque. The optimal geometry of the coupling and the obtained characteristics achieved by both methods are nearly identical. The magnetic torque density is enhanced by more than 20%, while the volume is reduced by 17%. Yet, the Taguchi method is found to be more time-efficient and effective within the considered optimization problem. Thanks to the additive manufacturing techniques, the initial design and the sophisticated geometry of the Taguchi optimal designs are precisely fabricated. The performances of the coupling designs are validated using an experimental setup.

scholarly journals Experimental Optimization of Using Natural Pozzolan in Chloride Ion Exposed Concrete via Taguchi Method

2021 ◽  
Vol 15 (1) ◽  
pp. 69-75
Author(s):  
Amir Behshad ◽  
Mostafa Askarian Zardak ◽  
Yaser Mohammadi
Keyword(s):  
Taguchi Method ◽  
Water Absorption ◽  
Chloride Ion ◽  
Optimization Method ◽  
Mix Design ◽  
Natural Pozzolan ◽  
Taguchi Optimization ◽  
Taguchi Optimization Method ◽  
Oman Sea ◽  
Optimal Mix

Concrete durability is one of the most important concerns in the field of construction. The environmentally friendly materials that can provide the durability are of great value in the construction of concrete structures. The use of natural pozzolans is one of the cheapest and most efficient methods in this field, which offers a good performance from environmental and economic point of view and satisfies required engineering parameters. In this study, the effect of using natural pozzolan in the manufacture of concrete exposed to sulfate and chloride ion of Oman sea water was investigated. The Taguchi optimization method was used to reduce the number of samples prepared, reduce the cost of experiments and achieve an optimal mix design. The four parameters, namely water to cement ratio, different percentages of natural pozzolan, super-plasticizer and cement grade with different ratios, were considered as problem variables. The Taguchi optimization method proposed 8 mix designs based on the defined levels for the variables. By constructing 96 samples, two parameters of permeability and water absorption from Oman Sea and drinking water were investigated in the samples. By introducing the results of the experiments into the Taguchi method, the final optimal design was presented by this method, and by constructing 12 additional samples and conducting permeability and water absorption experiments, the behavior of this optimal mix design was verified. The appropriate performance of the Taguchi method was demonstrated by obtaining the optimal mix designs from the Taguchi method, constructing this mix design and comparing the results with the regulation limitations. The results showed that it is acceptable to use natural pozzolan under moderate to severe chloride and sulfate ion attacks, but it is not recommended in the extreme environmental conditions.

Application of Taguchi Method Machining to CuA1

2015 ◽  
Vol 789-790 ◽  
pp. 111-115
Author(s):  
M.R. Ibrahim ◽  
Aznizam Abdullah ◽  
A.R. Ab Kadir ◽  
S. Sulaiman
Keyword(s):  
Taguchi Method ◽  
Cutting Speed ◽  
Optimization Method ◽  
Depth Of Cut ◽  
Machining Parameters ◽  
End Mill ◽  
Taguchi Optimization ◽  
Taguchi Optimization Method ◽  
Taguchi Orthogonal Array ◽  
Experimental Cutting

This paper is to study the application of Taguchi Method when experimental cutting on Copper (CuA1) generated by a milling machine. The respone of this study is surface roughness while machining with varying machining parameters such as cutting speed, feed rate and depth of cut. This experiment is using end mill HSS Ø16mm with uncoated and 2 flute with sequences of experiment base on the Taguchi Orthogonal array L934which carry out with 9 of experiments. The signal-to-noise (S/N) ratio, the analysis of variance (ANOVA) and confirmation tests with the optimal levels of machining parameters are carried out in order to illustrate the effectiveness of the Taguchi optimization method.

Application of Taguchi Method in the Optimization of Cutting Parameters for Turning Metal Matrix Composite

2011 ◽  
Vol 189-193 ◽  
pp. 3056-3060 ◽  
Author(s):  
Keartisak Sriprateep ◽  
Puttipong Patumchat ◽  
Wasan Theansuwan
Keyword(s):  
Taguchi Method ◽  
Metal Matrix ◽  
Design Method ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Optimization Method ◽  
Taguchi Methods ◽  
Machining Parameters ◽  
Taguchi Optimization ◽  
Optimization Of Cutting Parameters

The objective of this study was to utilize Taguchi methods to optimize surface roughness, tool wear and power required to perform the machining operation in turning metal matrix composites (MMC). The cutting parameters are analyzed under varying cutting speed, feed rates and cutting time. The settings of turning parameters were determined by using Taguchi’s experimental design method. Orthogonal arrays of Taguchi, the signal-to-noise (S/N) ratio, the analysis of variance (ANOVA) are employed to find the optimal levels and to analyze the effect of the turning parameters. Confirmation tests with the optimal levels of machining parameters are carried out in order to illustrate the effectiveness of Taguchi optimization method. The results show that the Taguchi method is suitable to solve the stated problem with minimum number of trials.

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