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International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 03 | Mar 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 7676
Statistical analysis of mechanical properties of Kenaf fiber/ Palmyra
sprout/Glass fiber reinforced Epoxy composites using Taguchi method
R. Ravi Kiran 1, B. Anil Kumar Reddy2, K. Balaji 3 , Sk. Mahaboob Malik Babu 4
1Student; Dept. of Aeronautical Eng.: PVPSIT, Andhra Pradesh, India
2 Student; Dept. of Aeronautical Eng.: PVPSIT, Andhra Pradesh, India
3 Student; Dept. of Aeronautical Eng.: PVPSIT, Andhra Pradesh, India
4 Student; Dept. of Aeronautical Eng.: PVPSIT, Andhra Pradesh, India
---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - In the present study, Kenaf fiber/ Palmyra
sprout/Glass fiber Epoxy compositesfabricatedandtested
for their mechanical properties. The effect of matrix
modification on mechanical properties investigated.
Experiments conducted using Taguchi L12 orthogonal
array considering the two deign parameters viz. weight
fraction of the fiber. The experimental results were
analyzed using Taguchi optimization method. Analysis of
variance (ANOVA) carried out to obtain the significant
values of tensile strength, and impact strength at 95 %
confidence level .Multiple regression analysis technique is
applied to obtain the mathematical model for tensile, and
impact strengths.
Key Words: Epoxy resin, Kenaf fiber, Palmyra
sprout, Glass fiber, S/N Ratio, ANOVA;
1. INTRODUCTION
There has been a developing enthusiasm for using fibers as
support to create composite materials. Researchers lean
toward thermoplastic polymeric lattices than thermosets
because of the low generation cycle, lower expense of
preparing and high reparability of thermoplastics. Different
natural fibers are generally utilized as support as a part of
thermoplastic polypropylene (PP) matrix material to get
ready composites. The utilization of regular fiber
polypropylene composite materials in basic applications
expanding in the most recent years due to their points of
interest in bio degradability, recyclability, ease, ecofriendly
and low thickness, Because of the adhesion between matrix
and fibers, the mechanical properties of natural fiber
polypropylene composites affected mainly. Distinctive
Chemical alteration strategies used to improve the fiber and
matrix adhesion, due to the improvement of adhesion
between matrix and fiber the mechanical properties of the
composites increased Taguchi method of design of
experiments, genetic algorithm,andartificial neural network
are some of the important tools used for robust design to
produce high quality products quickly and at low cost.
Taguchi method based on performing evaluation or
experiments to test the sensitivity of a set of response
variables to a set of control parameters (or independent
variables) by considering experiments in “orthogonal array”
with an aim to attain the optimum setting of the control
parameters. Orthogonal arrays provide a best set of well-
balanced (minimum) experiments [4]. The S/N ratios,which
are log functions of desired output, serve as the objective
functions for optimization, help in data analysis and the
prediction of the optimum results. There are three forms of
S/N ratio that are of common interest for optimization of
static problems. 1. Smaller-the-better, 2.Larger-the-better
and 3.Nominal- the-best. Different factors affect thestrength
to a different degree. Analysis of variance is a better feel for
the relative effect of the different factors obtained by the
decomposition of variance [5, 6].A short Palmyra sprout,
Kenaf, glass fiber epoxy reinforced composites have been
developed by Handlayup technique withvaryingparameters
like fibre loading ((0%, 7.5%, 15% by weight) and fibre
condition at constant fibre length of 3mm [7].In this present
study, Composites comprising of epoxy fortified with
Palmyra sprout, Kenaf, glass fiber arranged by Handlayup
with shifting weight divisions of fiber (0%, 7.5%, 15%). The
created Palmyra sprout, Kenaf, glass fiber strengthened
Epoxy composites tried for their mechanical properties
[8].The main objective of this work is to determine the
suitability of Palmyra sprout, Kenaf, glass fibers as
reinforcement in the Epoxy matrix for making composites.
The effect of the fiber content and the interfacial adhesion on
the mechanical properties of Palmyra sprout, Kenaf, glass
fiber /Epoxy composites prepared by Handlayup process
was investigated. Taguchi method of analysis is uses to
reduce total number of experiments. The experimental data
is analyzed using Taguchi method for optimal conditions of
input parameters. ANOVA carried out on experimental data
to find the significant effect of the input parameters.
1 Materials
1.1 Kenaf
The kenaf fiber collected from local fields. The collected
fibers drenched in water fortwo weeks. Later cleansingdone
and the fibers desiccated for a week. The draw out fiber then
chopped into short fiber. The organic constitutes of Kenaf
fibers are cellulose, hemicelluloses, lignin and pectin’s,witha
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 03 | Mar 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 7677
small quantity of extractives. The Kenaf plant belongs to
Malvaceae family.
1.2 Palmyra sprouts
The Borassus flabellifer isa talland erectpalm,withlarge,
fan-shapedleaves whicharequiteunlikethepinnateleavesof
other palms. The seeds are sown on top of mounds and
watered regularly within 45-60 days beforegerminating.The
embryonic axis grows downward within a long apical tube
into the soil and strikesroots.Growingupwardfromtheroots
is a bladeless first leaf within which accumulated food
material translocate from the endosperm, there by forming
the starchy tuber. The collected fibers drenched in water for
two weeks. Later cleansing done and the fibers desiccatedfor
a week. The draw out fiber then chopped into short fiber.
1.3 Glass Fibre
Glass fiber (or glass fibre) is a material consisting of
numerous extremely fine fibers of glass. Glassmakers
throughout history have experimented with glass fibers, but
mass manufactureof glass fiber was only made possible with
the invention of finer machine tooling. In 1893, Edward
Drummond Libbey exhibited a dress at the World's
Columbian Exposition incorporating glass fibers with the
diameter and textureof silk fibers. Glass fiberscan also occur
naturally, as Pele's hair.
1.4 Epoxy
Epoxy is either any of the basiccomponents or the cured
end products of epoxy resins, as well as a colloquial name for
the epoxide functional group. Epoxy resins, also known as
polyepoxides, are a class of reactive prepolymers and
polymers which contain epoxidegroups.Epoxyresinsmaybe
reacted (cross-linked) either with themselves through
catalytic homopolymerisation, or with a wide range of co-
reactants including polyfunctional amines, acids (and acid
anhydrides), phenols, alcohols and thiols. These co-reactants
are often referred to as hardeners or curatives, andthecross-
linking reaction is commonly referred to as curing. Reaction
of polyepoxides with themselves or with polyfunctional
hardeners forms a thermosetting polymer, often with
favorable mechanical properties and high thermal and
chemical resistance.
2. Processing
The extracted fibers dried in oven at a temperature of 800 C
for 2 hours to expel the moisture. The composite samples
were prepared. The weight fraction of the fiber 0, 7.5, 15%
mixed with Epoxy. Composites ofdifferentweightfractionsof
fiber fabricated using Handlayup technique. Five specimens
composed for each weight fraction of fiber composites.
2.1Design of experiments by Taguchi method:
The design of experiments carried out with the help of
Taguchi’s L12 orthogonal array to reduce the number of
experiments. The L12 orthogonal array containstwelverows
and two columns, with 11 degreesoffreedom(df)totreatone
parameter with six levels and another parameter with two
levels. Each parameter level is set according to the L12
orthogonal array, based on Taguchi method of design. The
experimental results further transferred into S/N ratio using
MINITAB 17 software.Thedifferentlevelsofvariablesusedin
experiment listed in table 1. When response maximized
(Larger-the-better), Taguchi uses the following formula for
S/N ratio .
(S/N = -10 *log (Σ (1/Y2)/n)
After that the experiment results are statically studied by
analysis of variance (ANOVA).
Table 1. Levels of variables (control factors) used in experiment.
CONTROL FACTOR LEVELS UNITS
Weight fraction of fiber 1 2 3
PALMYRA SPROUTS (X) 0 7.5 15 WT%
KENAF% (Y) 0 7.5 15 WT%
GLASS 0 7.5 15 WT%
3. Tensile and Impact tests
A Tensometer is used to find the tensile properties of the
composite specimens. Dog bone shaped tensile test
specimens were made in accordance with ASTM-D 638M to
measure the tensile properties. The samples tested at a
crosshead speed of 1 mm/min. A Charpy impacttestmachine
used to find the impact properties of the composite
specimens. The specimens were preparedinaccordancewith
ASTM D256-97.
3.1Tensile and impact strength test results
The tensile and impact properties are found out using three
different fiber weight percentages (0%, 7.5%, and 15%). For
each weight percentage, five specimens tested to achieve the
repeatability in results. The variations of tensile strengthand
impact strength with weight fraction of fibre
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 03 | Mar 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 7678
Table 2. Experimental results of tensile strength along with S/N ratio.
SL.
NO
WEIGHT
FRACTION OF
PALMYRA
SPROUTS FIBER
WEIGHT
FRACTIO
N OF
KENAF
FIBER
WEIGHT
FRACTIO
N OF
GLASS
FIBER
TENSILE
STRENGT
H
(MPa)
SNRA1
1 0.0 0.0 0.0 45.58974
359
33.17734
299
2 0.0 7.5 7.5 46.80512
821
33.16212
557
3 0.0 15.0 15.0 37.38461
538
31.11454
463
4 7.5 0.0 7.5 49.30769
231
33.15526
282
5 7.5 7.5 15.0 46.53846
154
33.10264
366
6 7.5 15.0 0.0 50.83333
333
34.10789
313
7 15.0 0.0 15.0 53.58974
359
34.51637
022
8 15.0 7.5 0.0 53.46153
846
34.40404
063
9 15.0 15.0 7.5 48.36153
846
33.63965
697
Table 3. Experimental results of impact strength along with S/N ratio.
Sl.
No
WEIGHT
FRACTION OF
PALMYRA
SPROUTS FIBER
WEIGHT
FRACTIO
N OF
KENAF
FIBER
WEIGHT
FRACTIO
N OF
GLASS
FIBER
IMPACT
STRENGT
H
SNRA1
1 0.0 0.0 0.0
0.326316
-9.73895
2 0.0 7.5 7.5
0.375
-8.52963
3 0.0 15.0 15.0
0.407895
-7.81623
4 7.5 0.0 7.5
0.419737
-7.54604
5 7.5 7.5 15.0
0.452632
-6.89645
6 7.5 15.0 0.0
0.365789
-8.74471
7 15.0 0.0 15.0
0.417105
-7.61043
8 15.0 7.5 0.0
0.363158
-8.81616
9 15.0 15.0 7.5
0.326316
-9.73895
3.2 Taguchi analysis for tensile and impact
strength
Analysis of the influence of control factors on the responses
are obtained from the response tables of mean S/N ratio and
the resultsare listed in table4, 5 respectively. Larger value of
S/N ratios corresponds to better quality, so optimal
combination of design parameters can be obtained as X4Y2
for tensile and impact strength.
Table 4. Response Table for S/N ratio for Tensile strength.
Level
WEIGHT
FRACTION
OF PALMYRA SPROUTS
FIBER
WEIGHT
FRACTION
OF KENAF
FIBER
WEIGHT
FRACTION
OF GLASS
FIBER
1 32.48 33.62 33.90
2 33.46 33.56 33.32
3 34.19 32.95 32.91
Delta 1.70 0.66 0.99
Rank 1 3 2
Table 5. Response Table for S/N ratio for Impact strength.
Level
WEIGHT
FRACTION
OF PALMYRA SPROUTS
FIBER
WEIGHT
FRACTION
OF KENAF
FIBER
WEIGHT
FRACTION
OF GLASS
FIBER
1 -8.695 -8.298 -9.100
2 -7.729 -8.081 -8.605
3 -8.722 -8.767 -7.441
Delta 0.993 0.686 1.659
Rank 2 3 1
3.3 Analysis of variance
The purpose of the statistical analysis of variance is to
investigate which design parameter significantly affects
strength of the composites. The analysis carried out for the
level of significance of 5% (the level of confidence is 95%).
Two-way ANOVA allow comparing population means when
the populations classified according to two (categorical)
factors (weight fraction of the fiber (X), treatment (Y)).
Analysis of variance results are listed in table 8, 9 and 10
respectively.
From ANOVA it can conclude that the weight fractions of the
fiber (X) and treatment (Y) both are significantfortensileand
impact strength. Since corresponding F values is higher than
F-crit.
3.4 Mathematical model using multiple
regression analysis
Multiple regression analysis is done using the statistical
software package MINITAB-17.Thefittedlineplotsfortensile
strength, flexural strength and impact strength are shown in
Figure 2 (a), (b) and (c) respectively. These graphs show
trends of tensile strength, flexural strength and impact
strength. As weight fraction of the fiber (X) increases tensile
strength is showing a slightly decreasing trend but with
treatment, tensile strength is showing
Slightly increasing trend. As weight fraction of the fiber (X)
increasesflexuralandimpactstrengthareshowingincreasing
trend but with treatment, flexural and impact strength are
showing slightly increasing trend.
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 03 | Mar 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 7679
Fig. 1.Main effects plot of S/N ratio for (a) tensile
strength; (b) impact strength
Table 6. ANOVA table for tensile strength
Source DF Seq
SS
Contributio
n
AdjS
S
Adj
MS
F-
Val
ue
P-
Value
WEIGHT
FRACTION OF
PALMYRA FIB
2 4.37
39
52.79% 4.37
39
2.1
870
2.6
7
0.27
2*
BWEIGHT
FRACTION OF
KENAF FIB
2 0.80
49
9.72% 0.80
49
0.4
025
0.4
9
0.67
0
WEIGHT
FRACTION OF
GLASS FIB
2 1.47
04
17.75% 1.47
04
0.7
352
0.9
0
0.52
7
Error 2 1.63
61
19.75% 1.63
61
0.8
180
Total 8 8.28
53
100.00%
**-more significant; * - significant
Table 7. ANOVA table for impact strength.
SOURCE
DF
SEQ
SS
CONTRIBUTIO
N ADJ SS ADJ MS
F-
VAL
UE
P-
VALU
E
Palmyra
Spourts
21.9
192 24.46% 1.9192 0.9596 2.29 0.304
Kenaf
20.7
37 9.39% 0.737 0.3685 0.88 0.532
Glass
24.3
516 55.47% 4.3516 2.1758 5.19
0.161
*
Error
20.8
378 10.68% 0.8378 0.4189
Total
87.8
456 100%
**-more significant; * - significant
Table 8.Error percentage for experimental and predicted values of tensile
strength.
SL.N
O
PALMYR
A
SPROUT
S
KENA
F
GLAS
S
EXPERIMENT
AL VALUE
PREDICT
ED VALUE
ERROR
PERCENTA
GE
1 0.0 0.0 0.0 45.58974 47.41328 -3.99988
2 0.0 7.5 7.5 46.80513 44.54894 4.820381
3 0.0 15.0 15.0 37.38462 42.95432 -14.8984
4 7.5 0.0 7.5 49.30769 50.35347 -2.12092
5 7.5 7.5 15.0 46.53846 48.44643 -4.09976
6 7.5 15.0 0.0 50.83333 52.87567 -4.01771
7 15.0 0.0 15.0 53.58974 52.15718 2.6732
8 15.0 7.5 0.0 53.46154 56.80299 -6.2502
9 15.0 15.0 7.5 48.36154 53.48668 -10.5976
Tensile strength =
(5)
Impact Strength = (6)
The predicted values of tensile strength and impact strength
calculated from equations (5) and (6), which to be compared
with experimental values forwhich error must be calculated.
The predicted error percentage between predicted and
measured output values at each experimental condition
calculated by using the equation (7).
…
……………………equation (7)
Tables 8, 9 shows the comparison of predicted values and
experimental values of tensile strength and impact strength
respectively along with error (%). The average errors for
tensile strength, impact strength equations are -4.27% and -
0.29% respectively. From the Regression Analysis we have
calculated the mathematical formulae for both tensile and
flexural strength. In the Regression coming for Tensile
Strength error% (<10) have obtained 77.7778% result,error
%(< 12) have obtained 88.8889% result and error %(< 15)
have obtained 100 % result. For Impact Strength error%
(<10) have obtained 88.8889% result, error %(< 18) have
obtained 100% result.
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 03 | Mar 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 7680
Fig -2 when comparison between the Experimental
values and predicted values are approximately equaled to
each other.
Table 9 .Error percentage for experimental and predicted values of impact
strength.
SL.N
O
PALMYR
A
SPROUT
S
KENAF GLASS EXPERIM
ENTAL
VALUE
PREDI
CTED
VALUE
ERROR
PERCEN
TAGE
1 0.0 0.0 0.0 0.326316 0.3510
75
-
7.58752
2 0.0 7.5 7.5 0.375 0.3828
5
-
2.09336
3 0.0 15.0 15.0 0.407895 0.4027
54
1.26024
3
4 7.5 0.0 7.5 0.419737 0.3974
24
5.31587
4
5 7.5 7.5 15.0 0.452632 0.4133
74
8.67320
1
6 7.5 15.0 0.0 0.365789 0.3395
99
7.15999
5
7 15.0 0.0 15.0 0.417105 0.4273
24
-
2.44985
8 15.0 7.5 0.0 0.363158 0.3471
02
4.42106
5
9 15.0 15.0 7.5 0.326316 0.3828
33
-
17.3197
4 CONCLUSIONS
The mechanical properties of Kenaf fiber/ Palmyra
sprout/Glass fiber naturalfibrecompositeswerepreparedby
epoxy resin matrix. The composite were prepared with
different volume fractions. The following conclusions are
made from the results and discussion.
We have obtained from the S-N ratio Palmyra Sprout (A) (15
wt. %), Kenaf (B) (0 wt. %) Glass (C) (0 wt %) and
combination (A3B1C1) havemaximumstrengthcomparedto
the other weight fraction combinations for tensile and we
have obtained from the s-n ratio Palmyra Sprout (A) (7.5 wt.
%), Kenaf (B) (7.5 wt. %) and Glass (C) (15 wt %)
combination (A2B2C3) havemaximumstrengthcomparedto
the other weight fraction combinations for impact.
From the Anova Analysis Palmyra sprout have more Impact
than the kenaf, glass for tensile and Glass has more impact
than Palmyra sprout and Kenaf for impact strength.
From the Regression Analysis we have calculated the
mathematical formulae forboth tensile and flexuralstrength.
In the Regression coming for Tensile Strength error% (<10)
have obtained 77.7778% result, error %(< 12)haveobtained
88.8889% result and error %(< 15) have obtained 100 %
result. For Impact Strength error% (<10) have obtained
88.8889% result, error %(< 18) have obtained 100% result.
REFERENCES
[1] Adlan Akram Mohamad Mazuki, Hazizan Md Akil,
Sahnizam Safiee, Zainal Arifin Mohd Ishak,“Degradation
of dynamic mechanical properties of pultruded kenaf
fibre reinforced composites after immersion in various
solutions” on 12 August 2010.
[2] Annapurna Patra – Dillip kumar Bisoyi, “Investigationof
the electrical and mechanical properties of short sisal
fibre-reinforced epoxy composite in correlation with
structural parameters of the reinforcedfibre”on10June
2011.
[3] Bisanda. E.T.N. “The effect of Alkali Treatment on the
Adhesion Characteristics of Sisal Fibres” in 2000. M. S.
Phadke, Quality engineering using robust design,
2ndedition, Pearson, 2009.
[4] Rahul Kumar, Kaushik Kumar, Sumit Bhowmik,
Optimization of Mechanical properties of epoxybased
wood dust reinforced green composite using Taguchi
method, Procedia Materials science 5(2014) 688-696.
[5] Rahul Kumar, Kausik Kumar, Prasanta Sahoo and Sumit
Bhowmik, Study of Mechanical Propertiesof Wood Dust
Reinforced Epoxy Composite,Procedia MaterialsScience
6 ( 2014 ) 551 – 556.
[6] Gunti Rajesh, A . V. Ratna Prasad: Advanced Materials
Manufacturing & Characterization: Advanced Materials
Manufacturing & Characterization Vol 3 Issue 2 (2013).
[7] Ravi Kumar N, Ranga Rao CH, Raghava Rao B, SrinivasK,
Mechanical Properties of Vakka FiberReinforced
Polypropylene Composites, International Journal of
Innovative Research in Science, Engieering and
Technology, Volume 3, Special Issue 3, (2014) ISSN
(Online) : 2319 – 8753.

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IRJET- Statistical analysis of mechanical properties of Kenaf fiber/ Palmyra sprout/Glass fiber reinforced Epoxy composites using Taguchi method

  • 1. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 03 | Mar 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 7676 Statistical analysis of mechanical properties of Kenaf fiber/ Palmyra sprout/Glass fiber reinforced Epoxy composites using Taguchi method R. Ravi Kiran 1, B. Anil Kumar Reddy2, K. Balaji 3 , Sk. Mahaboob Malik Babu 4 1Student; Dept. of Aeronautical Eng.: PVPSIT, Andhra Pradesh, India 2 Student; Dept. of Aeronautical Eng.: PVPSIT, Andhra Pradesh, India 3 Student; Dept. of Aeronautical Eng.: PVPSIT, Andhra Pradesh, India 4 Student; Dept. of Aeronautical Eng.: PVPSIT, Andhra Pradesh, India ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - In the present study, Kenaf fiber/ Palmyra sprout/Glass fiber Epoxy compositesfabricatedandtested for their mechanical properties. The effect of matrix modification on mechanical properties investigated. Experiments conducted using Taguchi L12 orthogonal array considering the two deign parameters viz. weight fraction of the fiber. The experimental results were analyzed using Taguchi optimization method. Analysis of variance (ANOVA) carried out to obtain the significant values of tensile strength, and impact strength at 95 % confidence level .Multiple regression analysis technique is applied to obtain the mathematical model for tensile, and impact strengths. Key Words: Epoxy resin, Kenaf fiber, Palmyra sprout, Glass fiber, S/N Ratio, ANOVA; 1. INTRODUCTION There has been a developing enthusiasm for using fibers as support to create composite materials. Researchers lean toward thermoplastic polymeric lattices than thermosets because of the low generation cycle, lower expense of preparing and high reparability of thermoplastics. Different natural fibers are generally utilized as support as a part of thermoplastic polypropylene (PP) matrix material to get ready composites. The utilization of regular fiber polypropylene composite materials in basic applications expanding in the most recent years due to their points of interest in bio degradability, recyclability, ease, ecofriendly and low thickness, Because of the adhesion between matrix and fibers, the mechanical properties of natural fiber polypropylene composites affected mainly. Distinctive Chemical alteration strategies used to improve the fiber and matrix adhesion, due to the improvement of adhesion between matrix and fiber the mechanical properties of the composites increased Taguchi method of design of experiments, genetic algorithm,andartificial neural network are some of the important tools used for robust design to produce high quality products quickly and at low cost. Taguchi method based on performing evaluation or experiments to test the sensitivity of a set of response variables to a set of control parameters (or independent variables) by considering experiments in “orthogonal array” with an aim to attain the optimum setting of the control parameters. Orthogonal arrays provide a best set of well- balanced (minimum) experiments [4]. The S/N ratios,which are log functions of desired output, serve as the objective functions for optimization, help in data analysis and the prediction of the optimum results. There are three forms of S/N ratio that are of common interest for optimization of static problems. 1. Smaller-the-better, 2.Larger-the-better and 3.Nominal- the-best. Different factors affect thestrength to a different degree. Analysis of variance is a better feel for the relative effect of the different factors obtained by the decomposition of variance [5, 6].A short Palmyra sprout, Kenaf, glass fiber epoxy reinforced composites have been developed by Handlayup technique withvaryingparameters like fibre loading ((0%, 7.5%, 15% by weight) and fibre condition at constant fibre length of 3mm [7].In this present study, Composites comprising of epoxy fortified with Palmyra sprout, Kenaf, glass fiber arranged by Handlayup with shifting weight divisions of fiber (0%, 7.5%, 15%). The created Palmyra sprout, Kenaf, glass fiber strengthened Epoxy composites tried for their mechanical properties [8].The main objective of this work is to determine the suitability of Palmyra sprout, Kenaf, glass fibers as reinforcement in the Epoxy matrix for making composites. The effect of the fiber content and the interfacial adhesion on the mechanical properties of Palmyra sprout, Kenaf, glass fiber /Epoxy composites prepared by Handlayup process was investigated. Taguchi method of analysis is uses to reduce total number of experiments. The experimental data is analyzed using Taguchi method for optimal conditions of input parameters. ANOVA carried out on experimental data to find the significant effect of the input parameters. 1 Materials 1.1 Kenaf The kenaf fiber collected from local fields. The collected fibers drenched in water fortwo weeks. Later cleansingdone and the fibers desiccated for a week. The draw out fiber then chopped into short fiber. The organic constitutes of Kenaf fibers are cellulose, hemicelluloses, lignin and pectin’s,witha
  • 2. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 03 | Mar 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 7677 small quantity of extractives. The Kenaf plant belongs to Malvaceae family. 1.2 Palmyra sprouts The Borassus flabellifer isa talland erectpalm,withlarge, fan-shapedleaves whicharequiteunlikethepinnateleavesof other palms. The seeds are sown on top of mounds and watered regularly within 45-60 days beforegerminating.The embryonic axis grows downward within a long apical tube into the soil and strikesroots.Growingupwardfromtheroots is a bladeless first leaf within which accumulated food material translocate from the endosperm, there by forming the starchy tuber. The collected fibers drenched in water for two weeks. Later cleansing done and the fibers desiccatedfor a week. The draw out fiber then chopped into short fiber. 1.3 Glass Fibre Glass fiber (or glass fibre) is a material consisting of numerous extremely fine fibers of glass. Glassmakers throughout history have experimented with glass fibers, but mass manufactureof glass fiber was only made possible with the invention of finer machine tooling. In 1893, Edward Drummond Libbey exhibited a dress at the World's Columbian Exposition incorporating glass fibers with the diameter and textureof silk fibers. Glass fiberscan also occur naturally, as Pele's hair. 1.4 Epoxy Epoxy is either any of the basiccomponents or the cured end products of epoxy resins, as well as a colloquial name for the epoxide functional group. Epoxy resins, also known as polyepoxides, are a class of reactive prepolymers and polymers which contain epoxidegroups.Epoxyresinsmaybe reacted (cross-linked) either with themselves through catalytic homopolymerisation, or with a wide range of co- reactants including polyfunctional amines, acids (and acid anhydrides), phenols, alcohols and thiols. These co-reactants are often referred to as hardeners or curatives, andthecross- linking reaction is commonly referred to as curing. Reaction of polyepoxides with themselves or with polyfunctional hardeners forms a thermosetting polymer, often with favorable mechanical properties and high thermal and chemical resistance. 2. Processing The extracted fibers dried in oven at a temperature of 800 C for 2 hours to expel the moisture. The composite samples were prepared. The weight fraction of the fiber 0, 7.5, 15% mixed with Epoxy. Composites ofdifferentweightfractionsof fiber fabricated using Handlayup technique. Five specimens composed for each weight fraction of fiber composites. 2.1Design of experiments by Taguchi method: The design of experiments carried out with the help of Taguchi’s L12 orthogonal array to reduce the number of experiments. The L12 orthogonal array containstwelverows and two columns, with 11 degreesoffreedom(df)totreatone parameter with six levels and another parameter with two levels. Each parameter level is set according to the L12 orthogonal array, based on Taguchi method of design. The experimental results further transferred into S/N ratio using MINITAB 17 software.Thedifferentlevelsofvariablesusedin experiment listed in table 1. When response maximized (Larger-the-better), Taguchi uses the following formula for S/N ratio . (S/N = -10 *log (Σ (1/Y2)/n) After that the experiment results are statically studied by analysis of variance (ANOVA). Table 1. Levels of variables (control factors) used in experiment. CONTROL FACTOR LEVELS UNITS Weight fraction of fiber 1 2 3 PALMYRA SPROUTS (X) 0 7.5 15 WT% KENAF% (Y) 0 7.5 15 WT% GLASS 0 7.5 15 WT% 3. Tensile and Impact tests A Tensometer is used to find the tensile properties of the composite specimens. Dog bone shaped tensile test specimens were made in accordance with ASTM-D 638M to measure the tensile properties. The samples tested at a crosshead speed of 1 mm/min. A Charpy impacttestmachine used to find the impact properties of the composite specimens. The specimens were preparedinaccordancewith ASTM D256-97. 3.1Tensile and impact strength test results The tensile and impact properties are found out using three different fiber weight percentages (0%, 7.5%, and 15%). For each weight percentage, five specimens tested to achieve the repeatability in results. The variations of tensile strengthand impact strength with weight fraction of fibre
  • 3. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 03 | Mar 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 7678 Table 2. Experimental results of tensile strength along with S/N ratio. SL. NO WEIGHT FRACTION OF PALMYRA SPROUTS FIBER WEIGHT FRACTIO N OF KENAF FIBER WEIGHT FRACTIO N OF GLASS FIBER TENSILE STRENGT H (MPa) SNRA1 1 0.0 0.0 0.0 45.58974 359 33.17734 299 2 0.0 7.5 7.5 46.80512 821 33.16212 557 3 0.0 15.0 15.0 37.38461 538 31.11454 463 4 7.5 0.0 7.5 49.30769 231 33.15526 282 5 7.5 7.5 15.0 46.53846 154 33.10264 366 6 7.5 15.0 0.0 50.83333 333 34.10789 313 7 15.0 0.0 15.0 53.58974 359 34.51637 022 8 15.0 7.5 0.0 53.46153 846 34.40404 063 9 15.0 15.0 7.5 48.36153 846 33.63965 697 Table 3. Experimental results of impact strength along with S/N ratio. Sl. No WEIGHT FRACTION OF PALMYRA SPROUTS FIBER WEIGHT FRACTIO N OF KENAF FIBER WEIGHT FRACTIO N OF GLASS FIBER IMPACT STRENGT H SNRA1 1 0.0 0.0 0.0 0.326316 -9.73895 2 0.0 7.5 7.5 0.375 -8.52963 3 0.0 15.0 15.0 0.407895 -7.81623 4 7.5 0.0 7.5 0.419737 -7.54604 5 7.5 7.5 15.0 0.452632 -6.89645 6 7.5 15.0 0.0 0.365789 -8.74471 7 15.0 0.0 15.0 0.417105 -7.61043 8 15.0 7.5 0.0 0.363158 -8.81616 9 15.0 15.0 7.5 0.326316 -9.73895 3.2 Taguchi analysis for tensile and impact strength Analysis of the influence of control factors on the responses are obtained from the response tables of mean S/N ratio and the resultsare listed in table4, 5 respectively. Larger value of S/N ratios corresponds to better quality, so optimal combination of design parameters can be obtained as X4Y2 for tensile and impact strength. Table 4. Response Table for S/N ratio for Tensile strength. Level WEIGHT FRACTION OF PALMYRA SPROUTS FIBER WEIGHT FRACTION OF KENAF FIBER WEIGHT FRACTION OF GLASS FIBER 1 32.48 33.62 33.90 2 33.46 33.56 33.32 3 34.19 32.95 32.91 Delta 1.70 0.66 0.99 Rank 1 3 2 Table 5. Response Table for S/N ratio for Impact strength. Level WEIGHT FRACTION OF PALMYRA SPROUTS FIBER WEIGHT FRACTION OF KENAF FIBER WEIGHT FRACTION OF GLASS FIBER 1 -8.695 -8.298 -9.100 2 -7.729 -8.081 -8.605 3 -8.722 -8.767 -7.441 Delta 0.993 0.686 1.659 Rank 2 3 1 3.3 Analysis of variance The purpose of the statistical analysis of variance is to investigate which design parameter significantly affects strength of the composites. The analysis carried out for the level of significance of 5% (the level of confidence is 95%). Two-way ANOVA allow comparing population means when the populations classified according to two (categorical) factors (weight fraction of the fiber (X), treatment (Y)). Analysis of variance results are listed in table 8, 9 and 10 respectively. From ANOVA it can conclude that the weight fractions of the fiber (X) and treatment (Y) both are significantfortensileand impact strength. Since corresponding F values is higher than F-crit. 3.4 Mathematical model using multiple regression analysis Multiple regression analysis is done using the statistical software package MINITAB-17.Thefittedlineplotsfortensile strength, flexural strength and impact strength are shown in Figure 2 (a), (b) and (c) respectively. These graphs show trends of tensile strength, flexural strength and impact strength. As weight fraction of the fiber (X) increases tensile strength is showing a slightly decreasing trend but with treatment, tensile strength is showing Slightly increasing trend. As weight fraction of the fiber (X) increasesflexuralandimpactstrengthareshowingincreasing trend but with treatment, flexural and impact strength are showing slightly increasing trend.
  • 4. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 03 | Mar 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 7679 Fig. 1.Main effects plot of S/N ratio for (a) tensile strength; (b) impact strength Table 6. ANOVA table for tensile strength Source DF Seq SS Contributio n AdjS S Adj MS F- Val ue P- Value WEIGHT FRACTION OF PALMYRA FIB 2 4.37 39 52.79% 4.37 39 2.1 870 2.6 7 0.27 2* BWEIGHT FRACTION OF KENAF FIB 2 0.80 49 9.72% 0.80 49 0.4 025 0.4 9 0.67 0 WEIGHT FRACTION OF GLASS FIB 2 1.47 04 17.75% 1.47 04 0.7 352 0.9 0 0.52 7 Error 2 1.63 61 19.75% 1.63 61 0.8 180 Total 8 8.28 53 100.00% **-more significant; * - significant Table 7. ANOVA table for impact strength. SOURCE DF SEQ SS CONTRIBUTIO N ADJ SS ADJ MS F- VAL UE P- VALU E Palmyra Spourts 21.9 192 24.46% 1.9192 0.9596 2.29 0.304 Kenaf 20.7 37 9.39% 0.737 0.3685 0.88 0.532 Glass 24.3 516 55.47% 4.3516 2.1758 5.19 0.161 * Error 20.8 378 10.68% 0.8378 0.4189 Total 87.8 456 100% **-more significant; * - significant Table 8.Error percentage for experimental and predicted values of tensile strength. SL.N O PALMYR A SPROUT S KENA F GLAS S EXPERIMENT AL VALUE PREDICT ED VALUE ERROR PERCENTA GE 1 0.0 0.0 0.0 45.58974 47.41328 -3.99988 2 0.0 7.5 7.5 46.80513 44.54894 4.820381 3 0.0 15.0 15.0 37.38462 42.95432 -14.8984 4 7.5 0.0 7.5 49.30769 50.35347 -2.12092 5 7.5 7.5 15.0 46.53846 48.44643 -4.09976 6 7.5 15.0 0.0 50.83333 52.87567 -4.01771 7 15.0 0.0 15.0 53.58974 52.15718 2.6732 8 15.0 7.5 0.0 53.46154 56.80299 -6.2502 9 15.0 15.0 7.5 48.36154 53.48668 -10.5976 Tensile strength = (5) Impact Strength = (6) The predicted values of tensile strength and impact strength calculated from equations (5) and (6), which to be compared with experimental values forwhich error must be calculated. The predicted error percentage between predicted and measured output values at each experimental condition calculated by using the equation (7). … ……………………equation (7) Tables 8, 9 shows the comparison of predicted values and experimental values of tensile strength and impact strength respectively along with error (%). The average errors for tensile strength, impact strength equations are -4.27% and - 0.29% respectively. From the Regression Analysis we have calculated the mathematical formulae for both tensile and flexural strength. In the Regression coming for Tensile Strength error% (<10) have obtained 77.7778% result,error %(< 12) have obtained 88.8889% result and error %(< 15) have obtained 100 % result. For Impact Strength error% (<10) have obtained 88.8889% result, error %(< 18) have obtained 100% result.
  • 5. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 03 | Mar 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 7680 Fig -2 when comparison between the Experimental values and predicted values are approximately equaled to each other. Table 9 .Error percentage for experimental and predicted values of impact strength. SL.N O PALMYR A SPROUT S KENAF GLASS EXPERIM ENTAL VALUE PREDI CTED VALUE ERROR PERCEN TAGE 1 0.0 0.0 0.0 0.326316 0.3510 75 - 7.58752 2 0.0 7.5 7.5 0.375 0.3828 5 - 2.09336 3 0.0 15.0 15.0 0.407895 0.4027 54 1.26024 3 4 7.5 0.0 7.5 0.419737 0.3974 24 5.31587 4 5 7.5 7.5 15.0 0.452632 0.4133 74 8.67320 1 6 7.5 15.0 0.0 0.365789 0.3395 99 7.15999 5 7 15.0 0.0 15.0 0.417105 0.4273 24 - 2.44985 8 15.0 7.5 0.0 0.363158 0.3471 02 4.42106 5 9 15.0 15.0 7.5 0.326316 0.3828 33 - 17.3197 4 CONCLUSIONS The mechanical properties of Kenaf fiber/ Palmyra sprout/Glass fiber naturalfibrecompositeswerepreparedby epoxy resin matrix. The composite were prepared with different volume fractions. The following conclusions are made from the results and discussion. We have obtained from the S-N ratio Palmyra Sprout (A) (15 wt. %), Kenaf (B) (0 wt. %) Glass (C) (0 wt %) and combination (A3B1C1) havemaximumstrengthcomparedto the other weight fraction combinations for tensile and we have obtained from the s-n ratio Palmyra Sprout (A) (7.5 wt. %), Kenaf (B) (7.5 wt. %) and Glass (C) (15 wt %) combination (A2B2C3) havemaximumstrengthcomparedto the other weight fraction combinations for impact. From the Anova Analysis Palmyra sprout have more Impact than the kenaf, glass for tensile and Glass has more impact than Palmyra sprout and Kenaf for impact strength. From the Regression Analysis we have calculated the mathematical formulae forboth tensile and flexuralstrength. In the Regression coming for Tensile Strength error% (<10) have obtained 77.7778% result, error %(< 12)haveobtained 88.8889% result and error %(< 15) have obtained 100 % result. For Impact Strength error% (<10) have obtained 88.8889% result, error %(< 18) have obtained 100% result. REFERENCES [1] Adlan Akram Mohamad Mazuki, Hazizan Md Akil, Sahnizam Safiee, Zainal Arifin Mohd Ishak,“Degradation of dynamic mechanical properties of pultruded kenaf fibre reinforced composites after immersion in various solutions” on 12 August 2010. [2] Annapurna Patra – Dillip kumar Bisoyi, “Investigationof the electrical and mechanical properties of short sisal fibre-reinforced epoxy composite in correlation with structural parameters of the reinforcedfibre”on10June 2011. [3] Bisanda. E.T.N. “The effect of Alkali Treatment on the Adhesion Characteristics of Sisal Fibres” in 2000. M. S. Phadke, Quality engineering using robust design, 2ndedition, Pearson, 2009. [4] Rahul Kumar, Kaushik Kumar, Sumit Bhowmik, Optimization of Mechanical properties of epoxybased wood dust reinforced green composite using Taguchi method, Procedia Materials science 5(2014) 688-696. [5] Rahul Kumar, Kausik Kumar, Prasanta Sahoo and Sumit Bhowmik, Study of Mechanical Propertiesof Wood Dust Reinforced Epoxy Composite,Procedia MaterialsScience 6 ( 2014 ) 551 – 556. [6] Gunti Rajesh, A . V. Ratna Prasad: Advanced Materials Manufacturing & Characterization: Advanced Materials Manufacturing & Characterization Vol 3 Issue 2 (2013). [7] Ravi Kumar N, Ranga Rao CH, Raghava Rao B, SrinivasK, Mechanical Properties of Vakka FiberReinforced Polypropylene Composites, International Journal of Innovative Research in Science, Engieering and Technology, Volume 3, Special Issue 3, (2014) ISSN (Online) : 2319 – 8753.