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Optimization of joining HDPE rods by continuous drive friction welding Cover

Optimization of joining HDPE rods by continuous drive friction welding

Open Access
|Oct 2022

Figures & Tables

Fig. 1

CDFW machine setup. CDFW, continuous drive friction welding

Fig. 2

Tensile test specimen dimensions

Fig. 3

HDPE rods joined using CDFW according to different welding conditions. CDFW, continuous drive friction welding; HDPE, high-density polyethylene

Fig. 4

Data normality check using the normal probability plot, the versus fits, the histogram, and the versus order for Tmax

Fig. 5

3D surface and contour plots for the maximum welding temperature. The maximum reported values are actual measured values for each speed level

Fig. 6

Data normality check using the normal probability plot, the versus fits, the histogram, and the versus order for the axial shortening

Fig. 7

3D surface and contour plots for the axial shortening according to RS's. The maximum reported values are actual measured values for each speed level

Fig. 8

Data normality check using the normal probability plot, the versus fits, the histogram, and the versus order for the TS. TS, tensile strength

Fig. 9

Pareto chart of the standardized effects for the TS of the joints. TS, tensile strength

Fig. 10

Surface and contour plots of the TS as a function of tf and Ff. The maximum reported values are actual measured values for each speed level

Fig. 11

Effect of process parameters on the appearance of welded joints arranged according to axial shortening from minimum to maximum

Regression equation in coded parameters for the axial shortening

RS (rpm)Regression equation
082 Short=1.060.0717tf+0.00064Ff+0.000057tf20.000001Ff2+0.000057tf×Ff {\rm{Short}} = 1.06 - 0.0717{t_f} + 0.00064{F_f} + 0.000057t_f^2 - 0.000001F_f^2 + 0.000057{t_f} \times {F_f}
165 Short=0.600.0400tf+0.00147Ff+0.000057tf20.000001Ff2+0.000057tf×Ff {\rm{Short}} = - 0.60 - 0.0400{t_f} + 0.00147{F_f} + 0.000057t_f^2 - 0.000001F_f^2 + 0.000057{t_f} \times {F_f}
300 Short=2.43+0.0312tf+0.00183Ff+0.000057tf20.000001Ff2+0.000057tf×Ff {\rm{Short}} = - 2.43 + 0.0312{t_f} + 0.00183{F_f} + 0.000057t_f^2 - 0.000001F_f^2 + 0.000057{t_f} \times {F_f}
400 Short=1.75+0.0494tf+0.00141Ff+0.000057tf20.000001Ff2+0.000057tf×Ff {\rm{Short}} = - 1.75 + 0.0494{t_f} + 0.00141{F_f} + 0.000057t_f^2 - 0.000001F_f^2 + 0.000057{t_f} \times {F_f}
550 Short=4.07+0.1086tf+0.00290Ff+0.000057tf20.000001Ff2+0.000057tf×Ff {\rm{Short}} = - 4.07 + 0.1086{t_f} + 0.00290{F_f} + 0.000057t_f^2 - 0.000001F_f^2 + 0.000057{t_f} \times {F_f}

Regression equations for predicting the TS

RS (rpm)Regression equation
082 TS=10.61+0.345tf+0.00959Ff0.00159tf20.000002Ff20.000051tf×Ff {\rm{TS}} = - 10.61 + 0.345{t_f} + 0.00959{F_f} - 0.00159t_f^2 - 0.000002F_f^2 - 0.000051{t_f} \times {F_f}
165 TS=3.10+0.256tf+0.00532Ff0.00159tf20.000002Ff20.000051tf×Ff {\rm{TS}} = 3.10 + 0.256{t_f} + 0.00532{F_f} - 0.00159t_f^2 - 0.000002F_f^2 - 0.000051{t_f} \times {F_f}
300 TS=2.41+0.224tf+0.01012Ff0.00159tf20.000002Ff20.000051tf×Ff {\rm{TS}} = - 2.41 + 0.224{t_f} + 0.01012{F_f} - 0.00159t_f^2 - 0.000002F_f^2 - 0.000051{t_f} \times {F_f}
400 TS=3.13+0.131tf+0.00842Ff0.00159tf20.000002Ff20.000051tf×Ff {\rm{TS}} = 3.13 + 0.131{t_f} + 0.00842{F_f} - 0.00159t_f^2 - 0.000002F_f^2 - 0.000051{t_f} \times {F_f}
550 TS=4.04+0.242tf+0.00859Ff0.00159tf20.000002Ff20.000051tf×Ff {\rm{TS}} = - 4.04 + 0.242{t_f} + 0.00859{F_f} - 0.00159t_f^2 - 0.000002F_f^2 - 0.000051{t_f} \times {F_f}

Analysis of variance for the axial shortening

SourceDFAdj SSAdj MSF-ValueP-Value
Model17492.73728.9845174.170.000
  Linear6445.31974.2199446.000.000
tf197.66397.6626586.870.000
Ff130.96130.9606186.050.000
RS4316.69679.1740475.770.000
  Square21.4040.70214.220.021
tf2 t_f^2 10.0060.00580.030.853
Ff2 F_f^2 11.3521.35168.120.006
2-Way Interaction946.0145.112630.720.000
tf*Ff13.4863.486120.950.000
tf*RS437.3449.336056.100.000
Ff*RS45.1841.29597.790.000
Error477.8210.1664
  Lack-of-Fit275.5670.20621.830.084
  Pure Error202.2540.1127
Total64500.559

Regression equation in coded parameters

RSRegression equation
082 Tmax=9.91+1.003tf+0.02847Ff0.00481tf20.000006Ff20.000130tf×Ff {T_{max}} = 9.91 + 1.003{t_f} + 0.02847{F_f} - 0.00481t_f^2 - 0.000006F_f^2 - 0.000130{t_f} \times {F_f}
165 Tmax=16.14+0.998tf+0.03025Ff0.00481tf20.000006Ff20.000130tf×Ff {T_{max}} = 16.14 + 0.998{t_f} + 0.03025{F_f} - 0.00481t_f^2 - 0.000006F_f^2 - 0.000130{t_f} \times {F_f}
300 Tmax=21.83+1.070tf+0.02963Ff0.00481tf20.000006Ff20.000130tf×Ff {T_{max}} = 21.83 + 1.070{t_f} + 0.02963{F_f} - 0.00481t_f^2 - 0.000006F_f^2 - 0.000130{t_f} \times {F_f}
400 Tmax=22.80+1.111tf+0.02948Ff0.00481tf20.000006Ff20.000130tf×Ff {T_{max}} = 22.80 + 1.111{t_f} + 0.02948{F_f} - 0.00481t_f^2 - 0.000006F_f^2 - 0.000130{t_f} \times {F_f}
550 Tmax=35.17+0.988tf+0.02932Ff0.00481tf20.000006Ff20.000130tf×Ff {T_{max}} = 35.17 + 0.988{t_f} + 0.02932{F_f} - 0.00481t_f^2 - 0.000006F_f^2 - 0.000130{t_f} \times {F_f}

Levels of process parameters for CDFW of HDPE

ParameterCodeLevels
RS (rpm)Speed82 – 169 – 300 – 400 – 550
Friction force – Ff (N)Force1,000–2,000
Friction time – tf (s)Time30–60

ANOVA for TS

SourceDFAdj SSAdj MSF-ValueP-Value
Model17243.89314.3474.340.000
  Linear6163.39927.2338.250.000
tf14.0314.0311.220.275
Ff117.54317.5435.310.026
RS4141.82535.45610.740.000
  Square28.6164.3081.300.281
tf2 t_f^2 14.4754.4751.360.250
Ff2 F_f^2 15.2605.2601.590.213
2-Way Interaction971.8787.9862.420.024
tf *Ff12.8332.8330.860.359
tf *RS442.22910.5573.200.021
Ff *RS426.8166.7042.030.105
Error47155.2053.302
  Lack-of-Fit27108.6054.0221.730.106
  Pure Error2046.6002.330
Total64399.098

j_msp-2022-0017_apptab_001

RunMaximum temperature (°C)Axial shortening (mm)Tensile strength (MPa)RunMaximum temperature (°C)Axial shortening (mm)Tensile strength (MPa)
156.30.154.4503486.84.4514.910
262.40.207.1023581.93.5512.514
360.80.657.8003682.03.8012.790
472.31.659.3903783.04.0014.370
553.30.305.5103884.03.7014.150
673.01.0013.2603980.53.5511.830
758.00.155.3204073.22.1510.870
864.50.958.3564195.96.2010.500
969.10.759.3204280.62.359.040
1064.40.558.3304391.38.159.090
1168.60.709.2504476.41.9514.300
1272.42.0011.1104594.16.707.100
1368.40.9010.9304673.32.557.390
1461.00.5013.0304790.85.3513.470
1576.00.7513.5504885.24.8510.500
1668.81.3511.2904979.94.8010.160
1781.83.4011.5205085.74.8513.570
1867.10.7511.9105182.74.4012.110
1979.03.2514.5705284.54.7513.060
2067.90.5513.6205381.83.207.490
2179.92.5511.4505492.68.008.330
2274.92.0511.2405586.85.107.900
2375.41.6513.4105695.012.809.890
2469.21.9010.8205779.63.008.290
2577.91.9010.3405897.010.908.270
2676.52.107.7305983.85.109.120
2769.71.157.5406097.68.8011.980
2887.04.0512.2856194.96.908.980
2979.02.6013.5006292.56.606.140
3088.36.4510.5006392.27.009.970
3172.01.5511.5606494.17.559.930
3291.06.9510.8106591.16.909.650
3374.41.709.360

Physical and mechanical properties of HDPE [23]

PropertyValue
Melting temperature (°C)126–135
Crystallization temperature (°C)111.9
Density (g/cm3)0.955
Thermal conductivity (W/mK)0.35–0.49
Specific heat – solid (kJ/kg°C)1.9
Tensile strength (MPa) at 23°C23.0–29.5

Analysis of variance

SourceDFAdj SSAdj MSF-ValueP-Value
Model177297.99429.2950.120.000
  Linear67162.501193.75139.370.000
tf11510.421510.42176.340.000
Ff1467.61467.6154.590.000
RS45184.471296.12151.320.000
  Square292.9246.465.420.008
tf2 t_f^2 140.6640.664.750.034
Ff2 F_f^2 163.9863.987.470.009
2-Way Interaction942.584.730.550.828
tf*Ff118.4318.432.150.149
tf*RS420.985.240.610.656
Ff*RS43.170.790.090.984
Error47402.568.57
  Lack-of-Fit27287.5110.651.850.080
  Pure Error20115.065.75
Total647700.56
DOI: https://doi.org/10.2478/msp-2022-0017 | Journal eISSN: 2083-134X | Journal ISSN: 2083-1331
Language: English
Page range: 240 - 256
Submitted on: Jan 13, 2022
|
Accepted on: May 30, 2022
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Published on: Oct 13, 2022
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2022 Mohammed A. Tashkandi, Nidhal M. Becheikh, published by Wroclaw University of Science and Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.