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1. Consider what can go wrong
2. Determine how bad the outcome would be - Consequences
3. Determine how likely it is to happen - Likelihood
4. Calculate the risk level 

Questions:

Tensile testing is a standout amongst the most key tests for building, and gives valuable data about a material and its related properties. These properties can be utilized for plan and examination of designing structures and for developing new materials that better suit a predefined use.

The tensile testing laboratory was conducted using a load frame and the six distinct materials were tested, including Annealed steel, Poly vinyl chloride (PVC), copper, polymethylmethacrylate (PMMA) and tempered steel. The examples were rectangular in cross segment, with a decreased gage area. The reduce gage segment guaranteed that the most elevated burdens happened inside the gage, and not close to the grasps of the heap outline, avoiding strain and crack of the example close or in the holds. The examples were at that point machined to the correct measurements required for the test, as indicated by ASTM gauges.

Three examples of every material were tried in the load frame, and the information accumulated into an Excel spreadsheet. The information was utilized to compute tensile property of every material. The data was then plotted on engineering stress-strain curves to compare the samples. The reason for this investigation was to assemble data about every material so imperative mechanical properties could be resolved. This test likewise acclimated the understudies with the load frame that was utilized and the general strides to playing out a malleable test on a diminished gage area example.

Every example was estimated with the calipers to decide the measurement of the cross segment. A gage length was resolved (50.00 mm) and scribed into the example with the goal that the separation between the two imprints could be estimated after the elastic test was finished. Normal lessened gage segment examples are appeared in Figure 1. The Lab see information procurement programming was begun, and the right material was picked. The heap cell was focused to guarantee that the product just estimated the malleable load connected to the example.

The samples were stacked into the jaws of the Instron load frame with the goal that it was similarly divided between the two clasps. The hub and transverse extensometers were joined to the decreased gage area of the example, guaranteeing that the pivotal extensometer was set effectively while appending it to the gage and that the transverse extensometer was over the total measurement of the example. This precautionary measure brings about better information and forestalls harm to the extensometers.

Answer:

The Instron load frame, appeared in Figure 2 was preloaded utilizing the parchment wheel to guarantee that the sample was legitimately loaded on the frame, and that it wasn't slipping in the jaws. The load was discharged, and the extensometers were focused utilizing the Lab view programming. The test was begun, and the sample was loaded, bringing about a quantifiable strain. For the steel and copper tests, the crosshead was at first set to move upward at 1.25 mm/min, at that point at 15 mm/min at a predefined state past yielding. This expansion in the rate of strain accelerated the test, however may have likewise presented some blunder. The poly vinyl chloride (PVC) test began at 5 mm/min and was later accelerate to 30 mm/min. The PMMA tests were pulled at a steady rate of 10 mm/min.

The information was accumulated utilizing the product, and stacked into a spreadsheet. At a set estimation of strain (past the yield strain), the product prevented utilizing information from the extensometers, and began gathering the strain data utilizing the situation of the moving crosshead. A notice message came up on the PC screen, educating the administrator to expel the extensometers to avert harm. The test proceeded until break, where the product ceased the moving crosshead, and completed the process of social affair information. The example was expelled, and the crosshead was reset to the underlying position to begin another ductile test. The testing method was rehashed for whatever remains of the examples.

The data from the tensile tests was plotted on independent diagrams as indicated by material. Each graph shows the engineering stress versus the engineering strain, as figured per Appendix A. table 1 demonstrates the normal tests for the Annealed steel tests, and table 2 demonstrates the normal pliable trial of the copper tests. Table 3, table 4, table 5 and table 6 demonstrated the test consequences of the PVC, PMMA, tempered steel and plywood, separately.

strain

stress

strain * stress

(stress-mean)

square

staim*square value

0

350

0

-102.37

10479.62

0

0.025

320

8

-132.37

17521.82

438.0454225

0.05

360

18

-92.37

8532.217

426.610845

0.055

400

22

-52.37

2742.617

150.8439295

0.06

450

27

-2.37

5.6169

0.337014

0.075

480

36

27.63

763.4169

57.2562675

0.075

490

36.75

37.63

1416.017

106.2012675

0.1

500

50

47.63

2268.617

226.86169

0.125

510

63.75

57.63

3321.217

415.1521125

0.15

520

78

67.63

4573.817

686.072535

0.175

520

91

67.63

4573.817

800.4179575

0.2

520

104

67.63

4573.817

914.76338

0.25

500

125

47.63

2268.617

567.154225

0.35

300

105

-152.37

23216.62

8125.815915

1.69

764.5

12915.53256

mean = 764.5/1.69

                = 452.37

standard deviation  = sqroot(square*square value)/(N-1)

                  = sqroot(12915.53256/1.69-1)

                  = 136.81

Graphical presentation

Data and calculation

average strain (m/m)

average stress (Mpa)

strain*stress

strss-mean

square

strain*square

0

0

0

-319.96

102374.4

0

0.01

150

1.5

-169.96

28886.4

288.864016

0.012

300

3.6

-19.96

398.4016

4.7808192

0.015

360

5.4

40.04

1603.202

24.048024

0.02

350

7

30.04

902.4016

18.048032

0.02

370

7.4

50.04

2504.002

50.080032

0.03

360

10.8

40.04

1603.202

48.096048

0.06

360

21.6

40.04

1603.202

96.192096

0.09

360

32.4

40.04

1603.202

144.288144

0.1

365

36.5

45.04

2028.602

202.86016

0.12

350

42

30.04

902.4016

108.288192

0.13

320

41.6

0.04

0.0016

0.000208

0.15

300

45

-19.96

398.4016

59.76024

0.18

250

45

-69.96

4894.402

880.992288

0.937

299.8

1926.298299

mean = 299.8/0.937  319.96

standard deviation = sqroot( 1926.2983/0.937)  = 45.34

Table 2

Data and calculation

strain

stress

strain*stress

stress - mean

square

strain*square

0

0

0

-51.44

2646.074

0

0.05

20

1

-31.44

988.4736

49.42368

0.1

60

6

8.56

73.2736

7.32736

0.12

60

7.2

8.56

73.2736

8.792832

0.2

45

9

-6.44

41.4736

8.29472

0.2

48

9.6

-3.44

11.8336

2.36672

0.25

46

11.5

-5.44

29.5936

7.3984

0.4

47

18.8

-4.44

19.7136

7.88544

0.6

47

28.2

-4.44

19.7136

11.82816

0.8

48

38.4

-3.44

11.8336

9.46688

1

49

49

-2.44

5.9536

5.9536

1.2

52

62.4

0.56

0.3136

0.37632

1.4

60

84

8.56

73.2736

102.58304

6.32

325.1

221.697152

mean = 325.1/6.32 = 51.44

standard deviation = sqroot(221.697/6.32-1) = 6.46

Table 3

strain

stress

strain*stress

strss-mean

square

strain*square

0

0

0

-66.52

4424.91

0

0.005

10

0.05

-56.52

3194.51

15.972552

0.01

30

0.3

-36.52

1333.71

13.337104

0.02

50

1

-16.52

272.9104

5.458208

0.025

60

1.5

-6.52

42.5104

1.06276

0.035

65

2.275

-1.52

2.3104

0.080864

0.04

70

2.8

3.48

12.1104

0.484416

0.045

75

3.375

8.48

71.9104

3.235968

0.05

80

4

13.48

181.7104

9.08552

0.23

15.3

48.717392

mean = 15.3/0.23=66.52

standard deviation = sqroot( 48.72/0.23) = 14.55

Table 4

Data and calculation

strain

stress

strain*stress

stress -mean

square

strain*square

0

300

0

-102.37

10479.62

0

0.025

270

6.75

-132.37

17521.82

438.0454225

0.05

310

15.5

-92.37

8532.217

426.610845

0.055

350

19.25

-52.37

2742.617

150.8439295

0.06

400

24

-2.37

5.6169

0.337014

0.075

430

32.25

27.63

763.4169

57.2562675

0.075

440

33

37.63

1416.017

106.2012675

0.1

450

45

47.63

2268.617

226.86169

0.125

460

57.5

57.63

3321.217

415.1521125

0.15

470

70.5

67.63

4573.817

686.072535

0.175

470

82.25

67.63

4573.817

800.4179575

0.2

470

94

67.63

4573.817

914.76338

0.25

450

112.5

47.63

2268.617

567.154225

0.35

250

87.5

-152.37

23216.62

8125.815915

1.69

680

12915.53256

mean = 680/1.69 = 402.37

standard deviation = sqroot(12915.53/0.69)= 136.81

Table 5

strain

stress

strain * stress

stress-mean

square

strain*square

0

0

0

-41.44

1717.274

0

0.05

10

0.5

-31.44

988.4736

49.42368

0.1

50

5

8.56

73.2736

7.32736

0.12

50

6

8.56

73.2736

8.792832

0.2

35

7

-6.44

41.4736

8.29472

0.2

38

7.6

-3.44

11.8336

2.36672

0.25

36

9

-5.44

29.5936

7.3984

0.4

37

14.8

-4.44

19.7136

7.88544

0.6

37

22.2

-4.44

19.7136

11.82816

0.8

38

30.4

-3.44

11.8336

9.46688

1

39

39

-2.44

5.9536

5.9536

1.2

42

50.4

0.56

0.3136

0.37632

1.4

50

70

8.56

73.2736

102.58304

6.32

261.9

221.697152

mean = 261.9/6.32=41.44

standard deviation = sqroot(221.70/5.32) = 6.46

Table 6Material Properties 

The ultimate tensile strength for each material is recorded in Table 7. The estimation of a ultimate tensile strength was discovered utilizing the procedure in Appendix B. The strain relating to a ultimate tensile strength is where necking begins to occur..

Sample material

Ultimate tensile strength, u (MPa)

Standard deviation (MPa)

Anneal steel

520

136.81

PVC

60

6.46

Plywood

50

6.46

PMMA(Acrylic)

75

14.55

Copper

365

45.34

Tempered steel

470

138.81

Table 7: The ultimate tensile strength for the six materials.

One sample of copper was used to find the true stress and the true strain encountered during a tensile test, and to compare both to the engineering stress and the engineering strain. The engineering stress and strain does not represent the adjustment in cross sectional territory, and records for the hub strain in the example. The true strain represents the adjustment in cross sectional area, than the engineering strain due to strains in the transverse direction along the gage of the sample

Methodology

The test results were consistent for each of the materials, as evident in graph 1 to graph 6. An interesting observation can be made from the PMMA graph, where sample one suddenly loses stress as it is stretched. This sample may have fractured partially across the cross section before complete failure, or a void could have caused a sudden release of stress. All of the other samples exhibited consistent behavior.

From the ultimate tensile strength data in Table 7, it is clear that the Annealed steel was the strongest material, followed by tempered steel, copper, PMMA, PVC and plywood, respectively. All of the standard deviations were moderately low, not exceeding 150 MPa, suggesting that the data was consistent and that the testing procedure was valid and repeatable.

Reference

Meyers,MA & Chawla,KK 2009, Mechanical behavior of materials, 2nded, Cambridge University Press, Cambridge and New York.

MIT Open Courseware 2007, Guidelinesfor Writing a Lab Report, viewed1 December 2016, .

Drury, H 1997, How to write a laboratory report, Learning Centre, University of Sydney, Sydney.

Foecke, T 1998, Metallurgy of the RMS Titanic, US Department of Commerce, Technology Administration, National Institute of Standards and Technology, Materials Science and Engineering Laboratory.

Callister, WD & Rethwisch, DG 2014, Materials science and engineering: an introduction, 9th edn, Wiley,HobokenNJ.

Standards Australia 2003, AS 1544.2–2003 Method forimpact tests on metals Part 2: Charpy V-notch, standards, viewed 3 February 2017

Chapra,SC&Canale,RP2010,Numericalmethodsforengineers,6thedn,McGraw-HillHigherEducation, Boston.

Akin H, Tugut F, Guney U, Kirmali O and Akar T. Tensile bond strength of silicone-based soft denture liner to two chemically different denture base resins after various surface treatments. Lasers in Medical Science. 2013; 28(1):119-123. https://dx.doi. org/10.1007/s10103-012-1082-7. PMid:22447403.

Bolay?r G, Demir H, Do?an A, Boztu? A, Murat Do?an O and Soygun K. Effects of different high alkyl methacrylate monomers on tensile bond strength between resilient liner and acrylic resin. Materials Research Innovations. 2009; 13(4):431-435. https://dx.doi.org/10.1179/143289109X12494867167288.

El-Hadary A and Drummond JL. Comparative study of water sorption, solubility, and tensile bond strength of two soft lining materials. The Journal of Prosthetic Dentistry. 2000; 83(3):356- 361. https://dx.doi.org/10.1016/S0022-3913(00)70140-5. PMid:10709046.

Tensile testing is a standout amongst the most key tests for building, and gives valuable data about a material and its related properties. These properties can be utilized for plan and examination of designing structures and for developing new materials that better suit a predefined use.

The tensile testing laboratory was conducted using a load frame and the six distinct materials were tested, including Annealed steel, Poly vinyl chloride (PVC), copper, polymethylmethacrylate (PMMA) and tempered steel. The examples were rectangular in cross segment, with a decreased gage area. The reduce gage segment guaranteed that the most elevated burdens happened inside the gage, and not close to the grasps of the heap outline, avoiding strain and crack of the example close or in the holds. The examples were at that point machined to the correct measurements required for the test, as indicated by ASTM gauges.

Procedure

Three examples of every material were tried in the load frame, and the information accumulated into an Excel spreadsheet. The information was utilized to compute tensile property of every material. The data was then plotted on engineering stress-strain curves to compare the samples. The reason for this investigation was to assemble data about every material so imperative mechanical properties could be resolved. This test likewise acclimated the understudies with the load frame that was utilized and the general strides to playing out a malleable test on a diminished gage area example.

Every example was estimated with the calipers to decide the measurement of the cross segment. A gage length was resolved (50.00 mm) and scribed into the example with the goal that the separation between the two imprints could be estimated after the elastic test was finished. Normal lessened gage segment examples are appeared in Figure 1. The Lab see information procurement programming was begun, and the right material was picked. The heap cell was focused to guarantee that the product just estimated the malleable load connected to the example.

The samples were stacked into the jaws of the Instron load frame with the goal that it was similarly divided between the two clasps. The hub and transverse extensometers were joined to the decreased gage area of the example, guaranteeing that the pivotal extensometer was set effectively while appending it to the gage and that the transverse extensometer was over the total measurement of the example. This precautionary measure brings about better information and forestalls harm to the extensometers.

The Instron load frame, appeared in Figure 2 was preloaded utilizing the parchment wheel to guarantee that the sample was legitimately loaded on the frame, and that it wasn't slipping in the jaws. The load was discharged, and the extensometers were focused utilizing the Lab view programming. The test was begun, and the sample was loaded, bringing about a quantifiable strain. For the steel and copper tests, the crosshead was at first set to move upward at 1.25 mm/min, at that point at 15 mm/min at a predefined state past yielding. This expansion in the rate of strain accelerated the test, however may have likewise presented some blunder. The poly vinyl chloride (PVC) test began at 5 mm/min and was later accelerate to 30 mm/min. The PMMA tests were pulled at a steady rate of 10 mm/min.

Results

The information was accumulated utilizing the product, and stacked into a spreadsheet. At a set estimation of strain (past the yield strain), the product prevented utilizing information from the extensometers, and began gathering the strain data utilizing the situation of the moving crosshead. A notice message came up on the PC screen, educating the administrator to expel the extensometers to avert harm. The test proceeded until break, where the product ceased the moving crosshead, and completed the process of social affair information. The example was expelled, and the crosshead was reset to the underlying position to begin another ductile test. The testing method was rehashed for whatever remains of the examples.


figure 1: Reduced gage section specimen made from Annealed steel, ready for tensile testing.

Figure 2 A typical Instron load frame used for tensile testing.

The data from the tensile tests was plotted on independent diagrams as indicated by material. Each graph shows the engineering stress versus the engineering strain, as figured per Appendix A. table 1 demonstrates the normal tests for the Annealed steel tests, and table 2 demonstrates the normal pliable trial of the copper tests. Table 3, table 4, table 5 and table 6 demonstrated the test consequences of the PVC, PMMA, tempered steel and plywood, separately.

strain

stress

strain * stress

(stress-mean)

square

staim*square value

0

350

0

-102.37

10479.62

0

0.025

320

8

-132.37

17521.82

438.0454225

0.05

360

18

-92.37

8532.217

426.610845

0.055

400

22

-52.37

2742.617

150.8439295

0.06

450

27

-2.37

5.6169

0.337014

0.075

480

36

27.63

763.4169

57.2562675

0.075

490

36.75

37.63

1416.017

106.2012675

0.1

500

50

47.63

2268.617

226.86169

0.125

510

63.75

57.63

3321.217

415.1521125

0.15

520

78

67.63

4573.817

686.072535

0.175

520

91

67.63

4573.817

800.4179575

0.2

520

104

67.63

4573.817

914.76338

0.25

500

125

47.63

2268.617

567.154225

0.35

300

105

-152.37

23216.62

8125.815915

1.69

764.5

12915.53256

mean = 764.5/1.69

                = 452.37

standard deviation  = sqroot(square*square value)/(N-1)

                  = sqroot(12915.53256/1.69-1)

                  = 136.81

Table 1

Graphical presentation

Graph 1: The engineering stress versus the engineering strain for Annealed steel.

Data and calculation

average strain (m/m)

average stress (Mpa)

strain*stress

strss-mean

square

strain*square

0

0

0

-319.96

102374.4

0

0.01

150

1.5

-169.96

28886.4

288.864016

0.012

300

3.6

-19.96

398.4016

4.7808192

0.015

360

5.4

40.04

1603.202

24.048024

0.02

350

7

30.04

902.4016

18.048032

0.02

370

7.4

50.04

2504.002

50.080032

0.03

360

10.8

40.04

1603.202

48.096048

0.06

360

21.6

40.04

1603.202

96.192096

0.09

360

32.4

40.04

1603.202

144.288144

0.1

365

36.5

45.04

2028.602

202.86016

0.12

350

42

30.04

902.4016

108.288192

0.13

320

41.6

0.04

0.0016

0.000208

0.15

300

45

-19.96

398.4016

59.76024

0.18

250

45

-69.96

4894.402

880.992288

0.937

299.8

1926.298299

mean = 299.8/0.937  319.96

standard deviation = sqroot( 1926.2983/0.937)  = 45.34

Table 2

Graphical presentation

Graph 2: The engineering stress versus the engineering strain for copper.

Data and calculation

strain

stress

strain*stress

stress - mean

square

strain*square

0

0

0

-51.44

2646.074

0

0.05

20

1

-31.44

988.4736

49.42368

0.1

60

6

8.56

73.2736

7.32736

0.12

60

7.2

8.56

73.2736

8.792832

0.2

45

9

-6.44

41.4736

8.29472

0.2

48

9.6

-3.44

11.8336

2.36672

0.25

46

11.5

-5.44

29.5936

7.3984

0.4

47

18.8

-4.44

19.7136

7.88544

0.6

47

28.2

-4.44

19.7136

11.82816

0.8

48

38.4

-3.44

11.8336

9.46688

1

49

49

-2.44

5.9536

5.9536

1.2

52

62.4

0.56

0.3136

0.37632

1.4

60

84

8.56

73.2736

102.58304

6.32

325.1

221.697152

mean = 325.1/6.32 = 51.44

standard deviation = sqroot(221.697/6.32-1) = 6.46

Table 3

Graphical presentation

Graph 3: The engineering stress versus the engineering strain for PVC.

Data and calculation

strain

stress

strain*stress

strss-mean

square

strain*square

0

0

0

-66.52

4424.91

0

0.005

10

0.05

-56.52

3194.51

15.972552

0.01

30

0.3

-36.52

1333.71

13.337104

0.02

50

1

-16.52

272.9104

5.458208

0.025

60

1.5

-6.52

42.5104

1.06276

0.035

65

2.275

-1.52

2.3104

0.080864

0.04

70

2.8

3.48

12.1104

0.484416

0.045

75

3.375

8.48

71.9104

3.235968

0.05

80

4

13.48

181.7104

9.08552

0.23

15.3

48.717392

mean = 15.3/0.23=66.52

standard deviation = sqroot( 48.72/0.23) = 14.55

Table 4

Graphical presentation

Graph 4: The engineering stress versus the engineering strain for PMMA (Acrylic).

Data and calculation

strain

stress

strain*stress

stress -mean

square

strain*square

0

300

0

-102.37

10479.62

0

0.025

270

6.75

-132.37

17521.82

438.0454225

0.05

310

15.5

-92.37

8532.217

426.610845

0.055

350

19.25

-52.37

2742.617

150.8439295

0.06

400

24

-2.37

5.6169

0.337014

0.075

430

32.25

27.63

763.4169

57.2562675

0.075

440

33

37.63

1416.017

106.2012675

0.1

450

45

47.63

2268.617

226.86169

0.125

460

57.5

57.63

3321.217

415.1521125

0.15

470

70.5

67.63

4573.817

686.072535

0.175

470

82.25

67.63

4573.817

800.4179575

0.2

470

94

67.63

4573.817

914.76338

0.25

450

112.5

47.63

2268.617

567.154225

0.35

250

87.5

-152.37

23216.62

8125.815915

1.69

680

12915.53256

mean = 680/1.69 = 402.37

standard deviation = sqroot(12915.53/0.69)= 136.81

Table 5

Graphical presentation

Graph 5: The engineering stress versus the engineering strain for Tempered steel.

Data and calculation

strain

stress

strain * stress

stress-mean

square

strain*square

0

0

0

-41.44

1717.274

0

0.05

10

0.5

-31.44

988.4736

49.42368

0.1

50

5

8.56

73.2736

7.32736

0.12

50

6

8.56

73.2736

8.792832

0.2

35

7

-6.44

41.4736

8.29472

0.2

38

7.6

-3.44

11.8336

2.36672

0.25

36

9

-5.44

29.5936

7.3984

0.4

37

14.8

-4.44

19.7136

7.88544

0.6

37

22.2

-4.44

19.7136

11.82816

0.8

38

30.4

-3.44

11.8336

9.46688

1

39

39

-2.44

5.9536

5.9536

1.2

42

50.4

0.56

0.3136

0.37632

1.4

50

70

8.56

73.2736

102.58304

6.32

261.9

221.697152

mean = 261.9/6.32=41.44

standard deviation = sqroot(221.70/5.32) = 6.46

Table 6

Graphical presentation

Graph 6: The engineering stress versus the engineering strain for plywood.

The ultimate tensile strength for each material is recorded in Table 7. The estimation of a ultimate tensile strength was discovered utilizing the procedure in Appendix B. The strain relating to a ultimate tensile strength is where necking begins to occur..

Sample material

Ultimate tensile strength, u (MPa)

Standard deviation (MPa)

Anneal steel

520

136.81

PVC

60

6.46

Plywood

50

6.46

PMMA(Acrylic)

75

14.55

Copper

365

45.34

Tempered steel

470

138.81

Data and Calculation

Table 7: The ultimate tensile strength for the six materials.

One sample of copper was used to find the true stress and the true strain encountered during a tensile test, and to compare both to the engineering stress and the engineering strain. The engineering stress and strain does not represent the adjustment in cross sectional territory, and records for the hub strain in the example. The true strain represents the adjustment in cross sectional area, than the engineering strain due to strains in the transverse direction along the gage of the sample

The test results were consistent for each of the materials, as evident in graph 1 to graph 6. An interesting observation can be made from the PMMA graph, where sample one suddenly loses stress as it is stretched. This sample may have fractured partially across the cross section before complete failure, or a void could have caused a sudden release of stress. All of the other samples exhibited consistent behavior.

From the ultimate tensile strength data in Table 7, it is clear that the Annealed steel was the strongest material, followed by tempered steel, copper, PMMA, PVC and plywood, respectively. All of the standard deviations were moderately low, not exceeding 150 MPa, suggesting that the data was consistent and that the testing procedure was valid and repeatable.

Reference

Meyers,MA & Chawla,KK 2009, Mechanical behavior of materials, 2nded, Cambridge University Press, Cambridge and New York.

MIT Open Courseware 2007, Guidelinesfor Writing a Lab Report, viewed1 December 2016, .

 Drury, H 1997, How to write a laboratory report, Learning Centre, University of Sydney, Sydney.

Foecke, T 1998, Metallurgy of the RMS Titanic, US Department of Commerce, Technology Administration, National Institute of Standards and Technology, Materials Science and Engineering Laboratory.

Callister, WD & Rethwisch, DG 2014, Materials science and engineering: an introduction, 9th edn, Wiley,HobokenNJ.

Standards Australia 2003, AS 1544.2–2003 Method forimpact tests on metals Part 2: Charpy V-notch, standards, viewed 3 February 2017

Chapra,SC&Canale,RP2010,Numericalmethodsforengineers,6thedn,McGraw-HillHigherEducation, Boston.

Akin H, Tugut F, Guney U, Kirmali O and Akar T. Tensile bond strength of silicone-based soft denture liner to two chemically different denture base resins after various surface treatments. Lasers in Medical Science. 2013; 28(1):119-123. https://dx.doi. org/10.1007/s10103-012-1082-7. PMid:22447403.

Bolay?r G, Demir H, Do?an A, Boztu? A, Murat Do?an O and Soygun K. Effects of different high alkyl methacrylate monomers on tensile bond strength between resilient liner and acrylic resin. Materials Research Innovations. 2009; 13(4):431-435. https://dx.doi.org/10.1179/143289109X12494867167288.

El-Hadary A and Drummond JL. Comparative study of water sorption, solubility, and tensile bond strength of two soft lining materials. The Journal of Prosthetic Dentistry. 2000; 83(3):356- 361. https://dx.doi.org/10.1016/S0022-3913(00)70140-5. PMid:10709046.v

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