Weibull Statistic in Hydrolytic Aging of Polyesterimide Used in Rotating Electrical Machine Windings

Weibull Statistic in Hydrolytic Aging of Polyesterimide Used in Rotating Electrical Machine Windings

Mohammed Nedjar* Fatima Kerkarine


Corresponding Author Email: 
mohammed.nedjar@ummto.dz
Page: 
2740-2748
|
DOI: 
https://doi.org/10.18280/mmep.111016
Received: 
30 March 2024
|
Revised: 
15 August 2024
|
Accepted: 
30 August 2024
|
Available online: 
31 October 2024
| Citation

© 2024 The authors. This article is published by IIETA and is licensed under the CC BY 4.0 license (http://creativecommons.org/licenses/by/4.0/).

OPEN ACCESS

Abstract: 

This study treats the effect of hydrolytic aging on breakdown voltage of polyesterimide employed in rotating electrical machine windings. The aging was carried out at 93% relative humidity and 40℃ in a climatic chamber. The samples were made as twisted pair copper conductors covered by a thin layer (35 µm) of polyesterimide. The duration of aging is 12000 h (500 days). The values of breakdown voltage were analyzed statistically using Weibull model. The insulation was characterised by FTIR. The study shows modifications of breakdown voltage versus aging time. The decrease is attributed to the increase in free volume leading to the raise in mean free path of charge carriers. While the raise is awarded to the arrangement of the structure. The shape parameter of Weibull plots alters versus aging time. The shortening is attributed to the raise of defect sizes. Whereas the augmentation is allotted to the arrangement of molecular structure. During the tests of dielectric failure, space charge can be formed and affect breakdown voltage. The results of FTIR show the disappearance of several absorbance peaks highlighting the degradation of the material. The degradation is done by the decomposition of imide bond and ester bond at the polyesterimide-copper interface.

Keywords: 

polyesterimide, moisture, aging, breakdown voltage, electrical machines, statistics, FTIR, degradation

1. Introduction

Farahani et al. [1] reported that the electrical insulation system of high voltage rotating machines is one of the most important parts of them in function of the making cost as well as to the maintenance and the lifetime aspects.

Polyesterimide, polyamide imide, and polyimide are widely utilized in windings of rotating electrical machines. For their selection, it is necessary to considerer various factors: working environment, applied voltage, rotating rate, and operating temperature. Kavanagh et al. [2], and Grubic et al. [3] yielded that the degradation of insulation materials is a major failure mode of electromagnetic coils and electrical machines.

Ksouri et al. [4] considered the water absorption in polyamide 6 (PA6) and polyamide 6 reinforced with 30% of glass fibers (PA6GF30) in distilled water at 90℃ for 80 days. The humidity contents are 8.55 wt% and 5.26 wt% for PA6 and PA6GF30, respectively.

During the operation of electrical machines, the insulation is submitted to the action of moisture. Ji et al. [5] investigated the effect of combined moisture-temperature on partial discharges of copper wires insulated with polyesterimide (class H). The twisted pair specimens were exposed to relative moisture ranging from 30% to 90% at different temperatures: 30℃, 60℃ and 90℃. To evaluate performance of the polymeric material, dielectric loss factor (tgδ), and insulation capacitance (IC) were measured. AC voltage, 50 Hz was applied to the samples with a rate of 700V/s. The authors concluded that tgδ and IC increase with relative humidity. A variation of partial discharge inception voltage versus relative humidity was indicated.

Brandes et al. [6] studied the insulation resistance of polyesterimide mica under hydrolytic aging. Samples were immerged in water. The authors noticed an exceptional resistance to water penetration of the dielectric material after 40 days of aging.

Because of its good properties as dielectric parameters, polyesterimide plays a major role in the field of electrical insulation as mentioned by Arikan et al. [7], and Havran et al. [8]. Despite of its high performance, investigations highlighted degradation of the material under moisture [9, 10]. Lian et al. [9] exhibited samples of polyesterimide to hydrothermal aging. The specimens were aged in oven at 80℃ and 100% relative humidity. The investigation pointed that the glass transition temperature reduces from 333 K to 326 K after 30 days of aging. Niu et al. [10] studied the effect of hydrothermal aging on breakdown strength of polyesterimide. The specimens were exposed in oven regulated at 80℃ and 100% relative humidity during 14 days. The breakdown test was conducted under AC voltage, 50 Hz. The voltage was evenly raised with a speed of 2 kV/s. The investigation indicates a decrease of dielectric strength from 67.27 kV/mm to 32.11 kV/mm after 14 days of aging. The moisture absorptions are 1.50wt% and 1.62wt% after 7 days and 14 days, respectively.

This work reported the investigation of breakdown voltage of polyesterimide under hydrolytic aging. A statistical study of breakdown voltage data was achieved using the Weibull model. The insulation was characterised by Fournier Transform Infrared Spectroscopy (FTIR).

2. Experimental Methods

2.1 Specimens

A bobbin of copper wire enameled with polyesterimide was furnished by TREFICUIVRE, manufacturer in ALGERIA. The insulation, of class H (180℃), has a 35 μm coat. The diameter of the wire is 0.63 mm.

The samples were prepared as twisted pair conductors. Firstly, the insulated wire was cut into lengths of 400 mm. The samples were elaborated using a winding lathe. A weight of 7 N was hooked to the wire, then 12 turns were carried out. At the end, the weight was detached and the buckle located at the top part of the specimen was suppressed. The length of the realized samples is 125 mm. To avert bypasses during the test of dielectric failure, the extremities of the samples were separated. In order to avoid any attendance of defects, the specimens were inspected with a microscope. Figure 1 illustrates a performed sample.

Figure 1. Photograph of an achieved specimen

2.2 Hydrolytic aging

A great number of samples was exhibited to moisture in a climatic chamber regulated at 93% relative humidity and 40℃. The aging was performed up to 12000 h (500 days). To obtain this humidity level, 1.215l of glycerin was mixed with 6.075l of distilled water. The glycerin volume represents 20% of that of distilled water. The enclosure is equipped by temperature regulator and a heating system. After each period of 500 h, 80 specimens were withdrawn from the climatic chamber.

2.3 Dielectric breakdown test

AC voltage, 50 Hz provided by a high voltage transformer, was applied to the extremities of the twists. The voltage was raised with a speed of 0.5 kV/s until a failure occurred. The breakdown voltage was registered. The experiments were executed in air and at ambient temperature. A number of 2000 specimens was tested.

2.4 Fournier Transform Infrared Spectroscopy

For the tests of FTIR, a powder of the polymer was mixed with a KBr amount. After blending, the whole was pressed, then the pellets were made. The infrared spectra were measured with JASCO FT/IR in the wavenumber range of 4000 - 500 cm-1. The apparatus is equipped with a computer.

3. Statistical Analysis of Breakdown Voltage Data

It is well known that failure is a random phenomenon and a statistical study of breakdown voltage or time-to-rupture is useful. Weibull model is widely employed in the investigation in dielectric breakdown of solid dielectrics [10, 11]. A detailed description of this model can be found in a reference book [12]. The two-parameter Weibull distribution is given by Chauvet and Laurent [13]:

$P(V)=1-\exp \left[-\left(\frac{V}{V_o}\right)^\beta\right]$         (1)

where:

P(V): cumulative breakdown probability;

V: breakdown voltage;

V0: scale parameter that is the value of V matching to a cumulative probability of 63.2%;

$\beta$: shape parameter which is the slope of the straight line of Weibull plot.

The precedent relationship can be written as below:

$\log \operatorname{Ln} \frac{1}{1-\mathrm{P}}=\beta \log V-\beta \log V_o$ with P(V) = P.

In the coordinate system $X=\log V$ and $Y=\log \operatorname{Ln} \frac{1}{1-\mathrm{P}}$, the plot must be a straight line. For V = Vo, $\log \operatorname{Ln} \frac{1}{1-\mathrm{P}}=\mathrm{o}$ and $\mathrm{P}=1-\frac{1}{\mathrm{e}}=63.2 \%$.

The statistical study was executed following the steps underneath:

  1. The rank i of each value of V was determined according to a classification by ascending order.
  2. The cumulative breakdown probability P was evaluated, for each value of breakdown voltage utilizing the formula at the bottom [14]:

$P=\frac{i}{N+1} 100 \%$       (2)

where:

N: total number of tested specimens; in this work N = 80.

  1. Calculation of $X=\log V$ and $\mathrm{Y}=\log \operatorname{Ln} \frac{1}{1-\mathrm{P}}$.
  2. Representation of the dots giving $\log \operatorname{Ln} \frac{1}{1-\mathrm{P}}$ versus log V.
  3. The best linear fit of Weibull plot was established by an estimation based on the method of the maximum likelihood.
  4. Calculation of the 90% confidence intervals. We considered different percentiles: 1%, 5%, 10%, 15%, 20%, 25%, 30%, 35%, 40%, 45%, 50%, 55%, 60%, 63.2%, 70%, 75%, 80%, 85%, 90%, 95% and 99%. The confidence bounds were computed using the maximum likelihood method.
  5. Plot of the confidence intervals.
  6. The values of $V_o$ and $\beta$ were deducted. All the calculations were executed with a computer program established by “Laboratoire de Génie Electrique de Toulouse, France”, nowadays “LAPLACE”.
4. Results and Discussion

4.1 Statistical analysis

a) Table 1(a) depicts the values of V, P, X and Y before aging. The findings of confidence intervals of breakdown voltage are presented in Table 1(b). For 12000 h of aging, the results of V, P, X and Y, and confidence bounds are exposed in Tables 2(a) and 2(b), respectively.

Table 1(a). Values of V, P, X and Y before aging

No.

V (kV)

P

X

Y

1

9.2

0.1975

0.9638

- 0.6575

2

10.6

0.4198

1.0253

- 0.2642

3

14.1

0.9877

1.1492

0.6429

4

12.3

0.7531

1.0899

0.1457

5

10.7

0.4444

1.0294

- 0.2308

6

10.9

0.5062

1.0374

- 0.1515

7

12.0

0.6914

1.0792

0.0702

8

9.8

0.3210

0.9912

- 0.4122

9

11.5

0.6173

1.0607

- 0.0175

10

9.5

0.2716

0.9777

- 0.4991

11

9.4

0.2469

0.9731

- 0.5473

12

11.1

0.5679

1.0453

- 0.0762

13

11.1

0.5679

1.0453

- 0.0762

14

9.8

0.3210

0.9912

- 0.4122

15

11.6

0.6296

1.0645

- 0.0029

16

9.4

0.2469

0.9731

- 0.5473

17

12.9

0.8765

1.1106

0.3205

18

7.0

0.0247

0.8451

- 1.6020

19

12.9

0.8765

1.1106

0.3205

20

11.9

0.6543

1.0755

0.0262

21

12.5

0.7901

1.0969

0.1935

22

11.4

0.5802

1.0569

- 0.0614

23

7.9

0.0741

0.8976

- 1.1137

24

13.3

0.9383

1.1239

0.4448

25

9.6

0.2840

0.9823

- 0.4762

26

12.9

0.8765

1.1106

0.3205

27

13.0

0.9012

1.1139

0.3646

28

10.6

0.4198

1.0253

- 0.2642

29

12.6

0.8272

1.1004

0.2444

30

9.8

0.3210

0.9912

- 0.4122

31

13.5

0.9506

1.1303

0.4783

32

12.3

0.7531

1.0899

0.1457

33

8.8

0.1481

0.9445

- 0.7950

34

11.0

0.5309

1.0414

- 0.1210

35

9.1

0.1852

0.9590

- 0.6887

36

9.9

0.3333

0.9956

- 0.3920

37

8.1

0.1111

0.9085

- 0.9289

38

9.1

0.1852

0.9590

- 0.6887

39

10.7

0.4444

1.0294

- 0.2308

40

11.8

0.6420

1.0719

0.0116

41

12.6

0.8272

1.1004

0.2444

42

12.5

0.7901

1.0969

0.1935

43

9.3

0.2222

0.9685

- 0.5998

44

7.1

0.0370

0.8513

- 1.4232

45

13.7

0.9753

1.1367

0.5684

46

8.6

0.1358

0.9345

- 0.8358

47

12.0

0.6914

1.0792

0.0702

48

10.5

0.3704

1.0212

- 0.3348

49

11.1

0.5679

1.0453

- 0.0762

50

10.0

0.3457

1.0000

- 0.3725

51

12.8

0.8395

1.1072

0.2623

52

13.1

0.9259

1.1173

0.4154

53

12.6

0.8272

1.1004

0.2444

54

10.9

0.5062

1.0374

- 0.1515

55

11.0

0.5309

1.0414

- 0.1210

56

10.8

0.4691

1.0334

- 0.1984

57

8.1

0.1111

0.9085

- 0.9289

58

13.7

0.9753

1.1367

0.5684

59

6.8

0.0123

0.8325

- 1.9058

60

10.2

0.3580

1.0086

- 0.3534

61

9.3

0.2222

0.9685

- 0.5998

62

7.6

0.0617

0.8808

- 1.1958

63

10.6

0.4198

1.0253

- 0.2642

64

10.8

0.4691

1.0334

- 0.1984

65

8.0

0.0864

0.9031

- 1.0439

66

13.1

0.9259

1.1173

0.4154

67

12.0

0.6914

1.0792

0.0702

68

12.2

0.7284

1.0864

0.1151

69

13.0

0.9012

1.1139

0.3646

70

12.2

0.7284

1.0864

0.1151

71

11.5

0.6173

1.0607

- 0.0175

72

11.5

0.6173

1.0607

- 0.0175

73

10.9

0.5062

1.0374

- 0.1515

74

7.3

0.0494

0.8633

- 1.2955

75

9.5

0.2716

0.9777

- 0.4991

76

8.9

0.1605

0.9494

- 0.7571

77

12.5

0.7901

1.0969

0.1935

78

12.2

0.7284

1.0864

0.1151

79

10.6

0.4198

1.0253

- 0.2642

80

8.6

0.1358

0.9345

- 0.8358

Table 1(b). Confidence intervals of breakdown voltage before aging

$\log \operatorname{Ln} \frac{1}{1-\mathrm{P}}$

Log Vinf

Log Vsup

-1.9978

0.7254

0.8223

-1.2899

0.8417

0.9088

-0.9773

0.8928

0.9475

-0.7891

0.9239

0.9705

-0.6514

0.9462

0.9880

-0.5411

0.9640

1.0019

-0.4477

0.9790

1.0133

-0.3657

0.9918

1.0238

-0.2917

1.0032

1.0337

-0.2334

1.0145

1.0422

-0.1592

1.0244

1.0507

-0.0977

1.0337

1.0591

-0.0380

1.0428

1.0668

00.00

1.0483

1.0721

0.0806

1.0603

1.0833

0.1419

1.0692

1.0920

0.2067

1.0786

1.1018

0.2781

1.0885

1.1121

0.3622

1.1001

1.1251

0.4765

1.1155

1.1423

0.6632

1.1401

1.1716

Table 2(a). Values of V, P, X and Y after 12000 h of aging

No.

V (kV)

P

X

Y

1

8.9

0.4691

0.9494

-0.1984

2

11.3

0.9259

1.0531

0.4154

3

6.1

0.0741

0.7853

-1.1137

4

10.2

0.8148

1.0086

0.2270

5

9.2

05309

0.9638

-0.1210

6

10.0

0.7654

1.0000

0.1614

7

5.3

0.0123

0.7243

-1.9058

8

10.1

0.7901

1.0043

0.1935

9

11.3

0.9259

1.0531

0.4154

10

9.8

0.7037

0.9912

0.0851

11

11.3

0.9259

1.0531

0.4154

12

6.8

0.1728

0.8325

-0.7218

13

10.1

0.7901

1.0043

0.1935

14

12.5

0.9753

1.0969

0.5684

15

7.8

0.3457

0.8921

-0.3725

16

10.9

0.8519

1.0374

0.2809

17

12.2

0.9630

1.0864

0.5180

18

10.0

0.7654

1.0000

0.1614

19

9.8

0.7037

0.9912

0.0851

20

5.6

0.0370

0.7482

-1.4232

21

9.1

0.4815

0.9590

-0.1826

22

9.3

0.5679

0.9685

-0.0762

23

7.6

0.2963

0.8808

-0.4542

24

6.9

0.1852

0.8388

-0.6887

25

7.1

0.1975

0.8513

-0.6575

26

8.7

0.4198

0.9395

-0.2642

27

8.4

0.3951

0.9243

-0.2988

28

8.5

0.4074

0.9294

-0.2813

29

11.0

0.8889

1.0414

0.3419

30

7.3

0.2346

0.8633

-0.5730

31

9.4

0.5926

0.9731

-0.0468

32

13.4

0.9877

1.1271

0.6429

33

7.8

0.3457

0.8921

-0.3725

34

10.7

0.8272

1.0294

0.2444

35

7.8

0.3457

0.8921

-0.3725

36

7.5

0.2593

0.8751

-0.5227

37

8.9

0.4691

0.9494

-0.1984

38

9.2

0.5309

0.9638

-0.1210

39

8.2

0.3704

0.9138

-0.3348

40

6.7

0.1481

0.8261

- 0.7950

41

11.0

0.8889

1.0414

0.3419

42

8.8

0.4321

0.9445

-0.2473

43

7.8

0.3457

0.8921

-0.3725

44

7.3

0.2346

0.8633

-0.5730

45

10.2

0.8148

1.0086

0.2270

46

6.4

0.1111

0.8062

- 0.9289

47

9.9

0.7407

0.9956

0.1303

48

9.5

0.6420

0.9777

0.0116

49

9.3

0.5679

0.9685

-0.0762

50

7.6

0.2963

0.8808

-0.4542

51

9.2

0.5309

0.9638

-0.1210

52

6.1

0.0741

0.7853

-1.1137

53

6.7

0.1481

0.8261

-0.7950

54

7.3

0.2346

0.8633

-0.5730

55

9.5

0.6420

0.9777

0.0116

56

9.9

0.7407

0.9956

0.1303

57

8.9

0.4691

0.9494

-0.1984

58

6.8

0.1728

0.8325

-0.7218

59

11.0

0.8889

1.0414

0.3419

60

7.6

0.2963

0.8808

-0.4542

61

10.9

0.8519

1.0374

0.2809

62

5.4

0.0247

0.7324

-1.6020

63

8.4

0.3951

0.9243

-0.2988

64

8.2

0.3704

0.9138

-0.3348

65

6.0

0.0494

0.7782

-1.2955

66

9.4

0.5926

0.9731

-0.0468

67

9.5

0.6420

0.9777

0.0116

68

11.6

0.9506

1.0645

0.4783

69

9.6

0.6667

0.9823

0.0408

70

9.3

0.5679

0.9685

-0.0762

71

9.7

0.6790

0.9868

0.0555

72

6.2

0.0864

0.7924

-1.0439

73

9.2

0.5309

0.9638

-0.1210

74

7.4

0.2469

0.8692

-0.5473

75

6.3

0.0988

0.7993

-0.9830

76

9.9

0.7407

0.9956

0.1303

77

9.6

0.6667

0.9823

0.0408

78

11.4

0.9383

1.0569

0.4448

79

9.5

0.6420

0.9777

0.0116

80

6.5

0.1235

0.8129

-0.8802

Table 2(b). Confidence intervals of breakdown voltage after 12000 h of aging

$\log \operatorname{Ln} \frac{1}{1-\mathrm{P}}$

Log Vinf

Log Vsup

-1.9978

0.5451

0.6710

-1.2899

0.6962

0.7835

-0.9773

0.7627

0.8338

-0.7891

0.8031

0.8637

-0.6514

0.8321

0.8864

-0.5411

0.8553

0.9046

-0.4477

0.8747

0.9193

-0.3657

0.8914

0.9331

-0.2917

0.9063

0.9459

-0.2334

0.9210

0.9570

-0.1592

0.9338

0.9680

-0.0977

0.9459

0.9789

-0.0380

0.9578

0.9890

00.00

0.9648

0.9959

0.0806

0.9805

1.0104

0.1419

0.9921

1.0217

0.2067

1.0043

1.0345

0.2781

1.0172

1.0478

0.3622

1.0322

1.0647

0.4765

1.0522

1.0871

0.6632

1.0842

1.1253

b) Figure 2 shows the scatter diagrams of breakdown voltage before aging, and after 4000 h, 8000 h and 12000 h.

c) The values of V0 and $\beta$, and the equations of Weibull plots are given in Tables 3-5. Some examples of Weibull graphs with confidence intervals are presented in Figures 3(a)-3(d). It is about virgin samples, and those aged after 4000 h, 8000 h, and 12000 h. The confidence intervals are marked with dashed lines.

(a) Before aging

(b) After 4000 h of aging

(c) After 8000 h of aging

(d) After 12000 h of aging

Figure 2. Scatter diagram of breakdown voltage

Table 3. Values of V0 and confidence intervals

Aging Time (h)

Breakdown Voltage (kV)

0

11.176 < V0 = 11.489 < 11.807

500

10.030 < V0 = 10.418 < 10.817

1000

10.748 < V0 = 11.146 < 11.554

1500

9.136 < V0 = 9.554 < 9.986

2000

9.433 < V0 = 9.736 < 10.045

2500

9.449 < V0 = 9.838 < 10.239

3000

10.465 < V0 = 10.745 < 11.029

3500

9.974 < V0 = 10.385 < 10.808

4000

9.967 < V0 = 10.255 < 10.548

4500

10.217 < V0 = 10.502 < 10.792

5000

9.843 < V0 = 10.161 < 10.485

5500

9.439 < V0 = 9.732 < 10.031

6000

9.858 < V0 = 10.170 < 10.488

6500

10.290 < V0 = 10.670 < 11.060

7000

9.807 < V0 = 10.153 < 10.507

7500

9.974 < V0 = 10.341 < 10.717

8000

10.196 < V0 = 10.520 < 10.851

8500

10.137< V0 = 10.491<10.854

9000

10.869 < V0 = 11.187 < 11.510

9500

10.003 < V0 = 10.313 < 10.609

10000

8.764 < V0 = 9.099 < 9.443

10500

9.933 < V0 = 10.178 < 10.426

11000

9.151 < V0 = 9.444 < 9.743

11500

8.755 < V0 = 9.163 < 9.607

12000

9.223 < V0 = 9.561 < 9.907

Table 4. Values of $\beta$ with confidence intervals

Aging Time (h)

Shape Parameter

0

6.054 < β = 7.179 < 8.220

500

4.404 < β = 5.222 < 5.979

1000

4.608 < β = 5.464 < 6.256

1500

3.742 < β = 4.437 < 5.080

2000

5.302 < β = 6.287 < 7.199

2500

4.146 < β = 4.917 < 5.630

3000

6.340 < β = 7.518 < 8.608

3500

4.146 < β = 4.917 < 5.630

4000

5.879 < β = 6.971 < 7.982

4500

6.076 < β = 7.205 < 8.250

5000

5.265 < β = 6.243 < 7.148

5500

5.475 < β = 6.492 < 7.433

6000

5.379 < β = 6.379 < 7.304

6500

4.613 < β = 5.470 < 6.263

7000

4.826 < β = 5.723 < 6.553

7500

4.630 < β = 5.490 < 6.286

8000

5.343 < β = 6.336 < 7.255

8500

4.869 < β = 5.774 < 6.611

9000

5.812 < β = 6.892 < 7.892

9500

5.659 < β = 6.711 < 7.684

10000

4.455 < β = 5.283 < 6.049

10500

6.874 < β = 8.151 < 9.333

11000

5.316 < β = 6.304 < 7.218

11500

3.500 < β = 4.151 < 4.753

12000

4.630 < β = 5.490 < 6.286

Table 5. Equations of Weibull graphs

Aging Time (h)

Equation of Weibull Plot

0

Y = 7.179 X – 7.612

500

Y = 5.222 X – 5.315

1000

Y = 5.464 X – 5.721

1500

Y = 4.437 X – 4.349

2000

Y = 6.287 X – 6.214

2500

Y = 4.917 X – 4.882

3000

Y = 7.518 X – 7.752

3500

Y = 4.917 X – 4.998

4000

Y = 6.971 X – 7.048

4500

Y = 7.205 X – 7.358

5000

Y = 6.243 X – 6.286

5500

Y = 6.492 X – 6.421

6000

Y = 6.379 X – 6.426

6500

Y = 5.470 X – 5.624

7000

Y = 5.723 X – 5.761

7500

Y = 5.490 X – 5.570

8000

Y = 6.336 X – 6.476

8500

Y = 5.774 X – 5.894

9000

Y = 6.892 X – 7.228

9500

Y = 6.711 X – 6.800

10000

Y = 5.283 X – 5.066

10500

Y = 8.151 X – 8.213

11000

Y = 6.304 X – 6.147

11500

Y = 4.151 X – 3.994

12000

Y = 5.521 X – 5.413

(a) Before aging: 11.176 < V0 = 11.489 < 11.807; 6.054 < β = 7.179 < 8.220; Y = 7.179 X – 7.612

(b) After 4000 h: 9.967 < V0 = 10.255 < 10.548; 5.879 < β = 6.971 < 7.982; Y = 6.971 X – 7.048

(c) After 8000 h: 10.196 < V0 = 10.520 < 10.851; 5.343 < β = 6.336 < 7.255; Y = 6.336 X – 6.476

(d) After 12000 h: 9.223 < V0 = 9.561 < 9.907; 4.630 < β = 5.490 < 6.286; Y = 5.521 X – 5.413

Figure 3. Weibull plot of breakdown voltage

4.2 Variation of breakdown voltage versus aging time

Figure 4 displays breakdown voltage (V0) against aging time. The curve shows a ragged variation with the attendance of several peaks. The variations can be depicted as follows:

  • At the start of aging, V0 decreases from 11.57 kV to 10.42 kV, raises to 11.15 kV and diminishes abruptly to 9.55 kV. Afterwards, V0 increases to 10.75 kV and lowers to 10.25 kV corresponding to 4000 h.
  • Beyond this time, V0 increases a little to 10.50 kV and lessens until 9.75, then rises again to 10.67 kV. After it decreases to 10.10 kV, grows to 10.52 kV and remains somewhat constant until 8500 h.
  • Last, V0 augments to 11.19 kV and falls to 9.10 kV. After it increases to 10.18 kV and lessens again to 9.16 kV, then enlarges until 9.56 kV.

Figure 4. Breakdown voltage versus aging time

4.3 Variation of shape parameter in function of aging time

The variations of shape parameter (β) against aging time are represented in Figure 5 that shows, like Figure 4, an uneven evolution indicating several peaks. The evolutions can be summarized as follows:

  • During the first 3000 h, β decreases from 7.18 to 5.22, rises to 5.94 and lessens again to 4.44 corresponding to 1500 h. Afterwards β increases to 6.29, decreases to 4.92 and grows until 7.52 after 3000 h.
  • Later, it falls to 4.92, augments to 7.21 and lowers to 6.24 after 5000 h. Then it grows a little to 6.49, shortens to 5.47 and remains somewhat invariable until 7500 h.
  • After this time, β increases to 6.34, decreases to 5.77 and raises to 6.89 corresponding to 9000 h. Afterwards β lessens to 5.28 and raises again reaching 8.15. Then, it drops until 4.15 and heightens to 5.52 for 12000 h.

Figure 5. Shape parameter as a function of aging time

4.4 Infrared spectra

Table 6 shows the significant infrared absorbance bands of polyesterimide. The IR spectra, in the range 4000 cm-1 - 500 cm-1, are presented in Figures 6-9.

Table 6. Absorbance bands

Absorbance Band Number

Wavenumber (cm-1)

1

2

3036

1774

3

1716

4

5

6

7

1701

1655

1486

1396

(a) Wavenumber between 4000 cm-1 to 2000 cm-1

(b) Wavenumber between 2000 cm-1 to 500 cm-1

Figure 6. FTIR spectrum before aging

(a) Wavenumber between 4000 cm-1 to 2000 cm-1

(b) Wavenumber between 2000 cm-1 to 500 cm-1

Figure 7. FTIR spectrum after 4000 h

(a) Wavenumber between 4000 cm-1 to 2000 cm-1

(b) Wavenumber between 2000 cm-1 to 500 cm-1

Figure 8. FTIR spectrum after 8000 h

(a) Wavenumber between 4000 cm-1 to 2000 cm-1

(b) Wavenumber between 2000 cm-1 to 500 cm-1

Figure 9. FTIR spectrum after 12000 h

4.5 Discussion

  1. After several hours of aging, water can diffuse into the polymer. Water plasticizes the material leading to the decrease of mechanical properties as ductility. This phenomenon has been reported by Merdas et al. [15].
  2. The hydrolytic aging causes a lessening in viscosity expressing a weakening of molecular bonds and a raise in free volume. Therefore, the mean free path and the mobility of charge carriers enlarge inducing a reduction of breakdown voltage. While the increase of the breakdown voltage is due to the arrangement in the structure producing, in the contrary, a shortening of mean free path and the mobility of charge carriers. The maximum variation of V0 is 21.34%.
  3. The breakdown voltage is linked to the presence of defects which can be voids, metallic inclusions, electrode asperities and laminations at the electrode-polymer interface. These defects can exist within the insulations during the manufacturing or created by the hydrolytic aging.
  4. As it can be shown, the dispersion of data alters from a distribution to another.
  5. The change of β is assigned to the size distribution of defects. The reduction is ascribed to the size raise of defects. On the other hand, the increase is due to the arrangement in the molecular structure. The maximum variation β is 42.20%.
  6. The dielectric breakdown of polymeric materials is related to the presence of space charge as indicated by Chen et al. [16]. Indeed, in the present work, the average maximum value of electrical field is about 100 kV/mm and the space charge can be shaped due to the injection of electrons/holes from the conductors (electrodes).
  7. The interpretation of FTIR spectra is presented as follows:
  1. Before aging

It arises an absorbance band at 3036 cm-1 allotted to the stretching vibration of hydroxyl groups (OH) [17]. We notice two absorption peaks at 1774 and 1716 cm-1 attributed to the asymmetrical stretching vibration and symmetrical stretching vibration of carbonyl (C=O) on the imide ring, respectively [18]. The absorbance band, detected at 1701 cm-1, matches to the C=O vibration of ester groups [19, 20]. The absorbance band at 1655 cm-1 corresponds to stretching vibration on the C=O ester bond [18]. The absorbance band at 1486 cm-1 is allotted to C-C stretching vibration on benzene ring skeleton [18]. The C-N stretching vibration of aromatic-imide is shown at 1396 cm-1 [18].

  1. After aging, we remark a change of the spectra. The absorbance band at 1396 cm-1 disappears after 4000 h. After 8000 h, the vanishing of the absorbance band at 3036 cm-1 is noted. After 12000 h, we notice the disappearance of two absorbance bands at 1486 and 1396 cm-1.
  1. Depending on the investigation yielded by Araki and Taguchi [21], copper was detected in the polyesterimide layer. Oxygen can easily diffuse into the polyesterimide and attack the copper leading to formation of copper oxide. This latter grows into the insulation. The formation and the growth of copper oxide was confirmed by Lukas Korcak and Culliton [22]. The degradation of polyesterimide is a result of scission reaction of imide bond and ester bond at the copper – polyesterimide interface. The dissolution of copper can accelerate the decomposition of the polymer.
  2. In a previous work, we studied the influence of hydrolytic aging on breakdown voltage of wire enameled including two layers of insulations [23]. The samples are twisted pair copper conductor insulated by polyesterimide (class H) covered with a film of polyamide imide (class C). By comparing the results obtained in the preceding work and the present study, we can conclude that:
  • Before aging, the breakdown voltage is 12.709 kV in the precedent study. On the other hand, its value is 11.489 kV in the actual work. Therefore, the breakdown voltage is greater in the prior work; that is a difference of 9.6%.
  • After a same aging time, the breakdown voltage corresponding to the current work is higher than that matching to the anterior investigation. The difference attains 36.58%.
  • In the antecedent work, the degradation did not occur after 15000 h of aging. On the contrary, in the actual work, the degradation takes place after 12000 h.
5. Conclusions

The next points can be taken from this investigation:

  1. The breakdown voltage of polyesterimide is modified by hydrolytic aging. The increase is assigned to the arrangement in the structure of the polymer. Whereas its shortening is attributed to the growth in the free volume leading to the raise in the mean free path. Thereby the mobility of charge carriers augments.
  2. The shape parameter varies against aging time. The raise is ascribed to the arrangement in the molecular structure. While the shortening is allotted to the heightening in the sizes of defects.
  3. The breakdown voltage depends on the accumulated space charge. This latter is due to the injection of electrons\holes from the conductors within the insulation.
  4. The FTIR shows a modification of the spectra after aging resulting to the degradation of the insulating material. It is about the vanishing of absorbance bands at 3036 cm-1 after 8000 h, 1486 cm-1 and 1396 cm-1 after 12000 h, and 1396 cm-1 after 4000 h.
  5. At long term of aging, decomposition of imide bond and ester bond take place leading to the degradation of the insulating material. The degradation is expedited by the dissolution of copper producing a copper oxide.
  6. We notice that, after a given aging time, the breakdown voltage of the insulation is more significant than that in a prior work. Further, in the preceding investigation, the degradation of the dielectric material did not happen.
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