Effect of Manufacturing Tolerance on Pressure Vessel

DOI : 10.17577/IJERTV3IS120707

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Effect of Manufacturing Tolerance on Pressure Vessel

Katkar M. M.

ME (Design) Mechanical Dept. SKN Sinhgad College of Engg. Pandharpur, Solapur, India

Prof. Gandhare B. S. Asst. Prof. Mechanical Dept

SKN Sinhgad College of Engg.

Pandharpur, Solapur, India

Prof. Kulkarni P. P. Asst. Prof. Mechanical Dept

SKN Sinhgad College of Engg.

Pandharpur, Solapur, India

AbstractAfter literature review and interviewing with expert they suggested gaps where one can work in pressure vessel domain especially on influencing factors related to pressure vessel cylinder design. Influence of manufacturing tolerance, heat treatment process parameters and material composition on Cylinder. Influence of welding methods and subsequent stress relieving processes on some pressure vessel cylinder. Here in this paper manufacturing tolerances are considered and relation between the manufacturing tolerance on strength and cost is obtained. In actual practices it is not possible to manufacture the pressure vessel with the defined dimensions. The tolerance variation is affecting on strength and cost of pressure vessel. For getting the relationship between the tolerance, strength and cost of pressure the FEA, RSM, ANOVA are used.

KeywordsPressure Vessel, strength, cost, Tolerance, FEA, RSM

INTRODUCTION:

In the design stage the manufacturing uncertainty [1] is constriant that to be considered. For the pressure vessel(PV) tolerance may be given to the thickness or any geometriacal dimensions[3]. In the PV different manufacturing processes are carried out and tolerances are considered at each stage. Auther used the different methods like FEA regression and neural network. Here effect of tolerance is observed on the strength and cost.[9]

  1. Effect on Strength:

    1 INTRODUCTION:

    To study the effect of tolerance on strength the FEA and Optimization techniques are used. In this modeling of thin PV in FEA package ANSYS 14. Initially hoop stresses (HS) are obtained by varying the design parameters Thickness (T), Length (L), inner radius (Ri) and Pressure (P). For getting HS at different intervals of design parameter, Response Surface Method (RSM) is used. RSM is type of probabilistic design. 30 simulations are run for getting 30 values of HS. Following methodology is adopted for getting relationship between HS and tolerance. At the end non linear relationship between HS and tolerances is obtained.

    Initially relationship between hoop stress and Input parameters is obtained by using FEA.

    i.e. Hoop stress = f (T, L, Ri, P)—————-(1)

    Mathematically for the thin vessel formula [16] is Hoop Stress = P*R/(2*T) ——————(2)

    Equation (1) is validated by using equation (2)

    It shows that obtained relationship is in good agreement. It can be said that written program in FEA software is validated.

    Moreover same program is used for next simulation which is to be run for getting the relationship between Hoop Stress and tolerance.

    i.e. Hoop Stress = f (tolerance)

    2 TOLERANCE:

    Following table shows tolerance limit of parameters are referred from the industry and ASME Sec VIII Div 1 & II [11] [12] for case study.

    Table 1 Tolerance Parameters

    Sr.

    No.

    Parameter

    Mean

    value

    2

    Tolerance

    1

    Pressure

    0.2 N/mm

    -0.1 to +0.1

    2

    Radius

    1000mm

    -3.0 to +3.0

    3

    Thickness

    6 mm

    -0.7 to +0.7

    4

    Length

    5000mm

    -5.0 to +5.0

    1000 simulations are carried out at any interval within 1000 and Hoop Stress is obtained. Output data of simulation is given as input to non linear relation between Hoop Stress and tolerance.

    1. FINITE ELEMENT MODELING (FEM):

      Fig. 1 Pressure Vessel model

      Modeling of pressure vessel is drawn in ANSYS 14 and it is meshed by using 4node tetrahedron (solid 285), as tetrahedron supports linear and non linear elasticity and plasticity. Also it supports contact pair by using rigid elements such as CONTA 178 and TARGET 176 as shell elements does not support welding by using rigid elements.

      Model is meshed and 15893 number of elements and 5443 nodes are generated. Tetrahedron element is used.

      Fig. 2 Meshed model

      Moreover, response surface modeling by using central composite design is carried out in ANSYS probabilistic design module. Total 30 simulations with variation of input parameters are solved.

      Fig. a) Tolerance P, Di & Ri vs. HS

      Fig. b) Tolerance P, Di & T on vs. HS

      Fig. c) Residual stress

      Fig. 3 Contour plot of stress vs. tolerance

      1. RESPONSE SURFACE METHOD: (RSM)

        Following output values of hoop stress are generated with respect to input parameters and these are compared with hoop stress obtained by standard equation for thin cylinder.

        Table 2 DOE table of Hoop stress(N/mm2)

        Sr. No.

        P

        Ri

        T

        L

        ANSYS

        Hoop stress= P Ri/2T

        % error

        1.

        0.3

        997

        6.7

        4995

        24.0109

        22.3209

        7.038471

        2.

        0.3

        997

        5.3

        5005

        29.90698

        28.21698

        5.650855

        3.

        0.1

        1003

        5.3

        5005

        10.49226

        9.462264

        9.816756

        4.

        0.1

        997

        5.3

        4995

        10.43566

        9.40566

        9.870003

        5.

        0.1

        997

        6.7

        5005

        8.370299

        7.440299

        11.11071

        6.

        0.3

        1003

        6.7

        5005

        24.14522

        22.45522

        6.999314

        7.

        0.2

        1000

        6

        5000

        18.35667

        16.66667

        9.206464

        8.

        0.1

        1003

        6.7

        4995

        8.395075

        7.485075

        10.83969

        9.

        0.3

        1003

        5.3

        4995

        29.29679

        28.38679

        3.106142

        10.

        0.2

        1000

        6

        5000

        18.35667

        16.66667

        9.206464

        11.

        0.2

        1000

        6

        5000

        18.35667

        16.66667

        9.206464

        12.

        0.2

        1000

        6

        5000

        16.7

        16.66667

        0.199601

        13.

        0.2

        1000

        7.4

        5000

        15.20351

        13.51351

        11.1158

        14.

        0.2

        1000

        6

        5000

        18.35667

        16.66667

        9.206464

        15.

        0.2

        1000

        6

        4990

        18.35667

        16.66667

        9.206464

        16.

        0.2

        1006

        6

        5000

        18.45667

        16.76667

        9.156583

        17.

        0.4

        1000

        6

        5000

        35.02333

        33.33333

        4.825355

        18.

        0.2

        1000

        6

        5010

        18.35667

        16.66667

        9.206464

        19.

        0.2

        994

        6

        5000

        18.25667

        16.56667

        9.256892

        20.

        0.2

        1000

        4.6

        5000

        23.42913

        21.73913

        7.213243

        21.

        0.1

        997

        5.3

        5005

        10.50566

        9.40566

        10.47055

        22.

        0.2

        1000

        6

        5000

        17.76667

        16.66667

        6.19137

        23.

        0.2

        1000

        6

        5000

        17.76667

        16.66667

        6.19137

        24.

        0.3

        1003

        5.3

        5005

        30.07679

        28.38679

        5.61895

        25.

        0.3

        1003

        6.7

        4995

        25.14522

        22.45522

        10.69786

        26.

        0.1

        1003

        5.3

        4995

        10.59226

        9.462264

        10.66816

        27.

        0.1

        1003

        6.7

        5005

        8.255075

        7.485075

        9.327596

        28.

        0.1

        997

        6.7

        4995

        8.210299

        7.440299

        9.378465

        29.

        0.3

        997

        6.7

        5005

        23.0909

        22.3209

        3.334648

        30.

        0.3

        997

        5.3

        4995

        28.98698

        28.21698

        2.656365

        It is observed that there is maximum 11% deviation in results obtained by FEA and Standard equation. Above data is analyzed in ANSYS software and following relationship is obtained in between input parameter and hoop stress.

        Hoop Stress = 0.353955 + 84.0715 P + 0.01682 Ri – 2.85665 T – 2.20707e-017 L

      2. RSM analysis: Table 3 RSM values

        Factors: 4 Replicates: 1

        Base runs: 30 Total runs: 30

        Base blocks: 3 Total blocks: 3

        Two-level factorial: Full factorial

        Cube points: 16

        Center points in cube: 4 Axial points: 8

        Center points in axial: 2 Alpha: 2

        Regression Analysis: STRESS versus P, Ri, T & L

        The regression equation is

        Hoop Stress = 0.353955 + 84.0715 P + 0.01682 Ri – 2.85665 T – 2.20707e-017 L

        Predictor

        Coef

        SE Coef

        T

        P

        Constant

        0.354

        179.201

        0.002

        0.998

        P

        84.0715

        1.868

        44.9945

        0.000

        Ri

        0.0168

        0.057

        0.2968

        0.769

        T

        -2.8566

        0.243

        -11.7627

        0.000

        L

        -0.00

        0.034

        -0.00

        1.000

        The obtained data is used for regression analaysis and equation is found.

        S = 0.832822 R-Sq = 98.86% R-Sq(adj) = 98.67%

        PRESS = 27.5706 R-Sq(pred) = 98.18%

      3. RELATIONSHIP BETWEEN TOLERANCE AND STRENGTH

        Non linear regression has been carried out in mini tab. By using data obtained from finite element analysis. Following non linear relationship is obtained in between hoop stress and tolerance.

        Fig. 4 scatter plot of hoop stress vs. tolerance

        Fig.4 shows nonlinear relation between tolerance and hoop stress. It is observed that there is more scatter in hoop stress value when tolerance varied from 0.1 to 0.4 mm. Red colour lines in graph represents polynomial curve. Uncertain data obtained from analysis is fitted on line of 21 degree. Also there is more variation curve shape in the region of 0.1 mm to 0.4mm. There is less variation in curve in region -0.6 to

        -0.2 mm. It is observed that hoop stress uncertain with respect to tolerances. Therefore non linear regression is carried out and following relationship is obtained which shows uncertainty in hoop stress with respect to tolerance value.

        Hoop Stress = 1 – 1 / (Tolerance^ 0.008)

        B. EFFECT OF TOLERANCE ON COST

        1. Introduction:

          Cost is the main parameter from the manufacturer as well as from the customer point of view. So this must be considered at the design stage only. Few authors [5][10] have worked on the cost.

          To study the effect of manufacturing tolerance on the cost of pressure vessel the same live case study is taken as stated previous. The optimization technique i.e. RSM and ANOVA are used.

          Here for the cost calculation the different cost are considered these are raw material cost, manufacturing cost and other expenditures. By combining these cost the total cost is calculated and the graphs are plotted which are showing the relationship between the tolerance and cost.

          The tolerance is given to the plate or sheet i.e. input parameter of PV. For the plate the input parameters are length (L), width (W) and thickness (T) are considered. Considering the variation in plate dimensions the effect on cost is plotted and predicted.

        2. Tolerance: Here to study the effect of manufacturing tolerance the sheet is considered. The tolerance on the sheet is taken into consideration. The tolerance given to sheet is studied and effect on the cost is determined with best optimized values. Sheet is used to manufacture the pressure vessel. Tolerance for the sheet is considered. The parameter where tolerance is to be considered for the sheet is Length, width and thickness.

          Table 4 Parameters and levels

          Level(tolerance) Parameter

          -1

          0

          +1

          1. Length

          12.4

          12.5

          12.6

          2. Thickness

          5

          6

          7

          3. Width

          2.45

          2.50

          2.55

        3. DOE table for COST:

        DOE table for the cost is as shown in the table 6

    2. Analysis of Variance for total cost

      Table 5 RSM values

      Source

      DF

      Seq SS

      Adj SS

      Adj

      MS

      F

      P

      Regressi

      on

      3

      468435710

      1

      468435710

      1

      156145236

      7

      14578.0

      6

      0

      Linear

      3

      468435710

      1

      468435710

      1

      156145236

      7

      14578.0

      6

      0

      L

      1

      10615438

      10615438

      10615438

      99.11

      0

      W

      1

      66346490

      66346490

      66346490

      619.43

      0

      T

      1

      460739517

      2

      460739517

      2

      460739517

      2

      43015.6

      4

      0

      Residual

      Error

      16

      1713756

      1713756

      107110

      Lack-of-

      Fit

      11

      1713756

      1713756

      155796

      Pure

      Error

      5

      0

      0

      0

      Total

      19

      468607085

      7

      S = 327.276 Press = 4056228

      R-Sq = 99.96% R-Sq (Pred) = 99.91% R-Sq (Adj) = 99.96%

      The Regression Equation Is

      Total cost = – 202578 + 10303 L + 51515.6 W + 214648 T

    3. SURFACE, CONTOUR AND OPTIMIZATION PLOTS:

The surface, contour and optimization plots are drawn in the fig. 5

In general from this plots it is clear that the value of parameter for the minimum cost should be selected at the bottom of left side.

Fig.(a) surface plot

Fig.(b) contour plot cost vs T,W

Fig.(c) contour plot cost vs T,L

Fig.(d) optimization plot

Fig. 5 Plots

Table 6 DOE values for the cost

Sr. No.

L

W

T

Weight

Sheet cost

Mfg Cost

Other

Total Cost

1.

12.5

2.5

5

156.25

61328.125

45996.09

55000

162324.22

2.

12.5

2.5

6

187.5

73593.75

55195.31

55000

183789.06

3.

12.5

2.55

6

191.25

75065.625

56299.22

55000

186364.84

4.

12.4

2.5

6

186

73005

54753.75

55000

182758.75

5.

12.5

2.5

7

218.75

85859.375

64394.53

55000

205253.91

6.

12.5

2.45

6

183.75

72121.875

54091.41

55000

181213.28

7.

12.5

2.5

6

187.5

73593.75

55195.31

55000

183789.06

8.

12.6

2.5

6

189

74182.5

55636.88

55000

184819.38

9.

12.4

2.45

7

212.66

83469.05

62601.79

55000

201070.84

10.

12.5

2.5

6

187.5

73593.75

55195.31

55000

183789.06

11.

12.6

2.45

7

216.09

84815.325

63611.49

55000

203426.82

12.

12.4

2.55

7

221.34

86875.95

65156.96

55000

207032.91

13.

12.4

2.45

5

151.9

59620.75

44715.56

55000

159336.31

14.

12.6

2.55

5

160.65

63055.125

47291.34

55000

165346.47

15.

12.5

2.5

6

187.5

73593.75

55195.31

55000

183789.06

16.

12.4

2.55

5

158.1

62054.25

46540.69

55000

163594.94

17.

12.6

2.45

5

154.35

60582.375

45436.78

55000

161019.16

18.

12.5

2.5

6

187.5

73593.75

55195.31

55000

183789.06

19.

12.6

2.55

7

224.91

88277.175

66207.88

55000

209485.06

20.

12.5

2.5

6

187.5

73593.75

55195.31

55000

183789.06

RESULT & DISCUSSION:

  1. Main effect Plot for strength:

    Fig. 6 Main effect plot for stress

    From the main effect plot of hoop stress it is clear that the pressure is the main parameter to be considered in the design of pressure for considering

    the stress. Pressure affects very rapidly on hoop stress. As thickness increases the stress decrease

    Length and radius are comparatively insignificant parameters.

  2. Main effect Plot for cost:

Fig. 7 Main effect plot for cost

From the main effect plot of cost it is clear that the thickness is the main parameter to be considered in the design stage for the cost calculation. Width and length are comparatively less signifcant.

CONCLUSION:

  1. Non linear relationship is obtained between the tolerance, strength and cost.

  2. Manufacturing tolerances plays very important role at the design stage of pressure vessel.

  3. Pressure and thickness are the significant parameters which affects on the hoop stress of pressure vessel.

  4. Thickness is affecting on the cost of pressure vessel.

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