Venkatesh and Bhaghavi
Venkatesh and Bhaghavi
Venkatesh and Bhaghavi
Dr. G PRASANTHI
Professor, Department of Mechanical Engineering, J.N.T.U. College of
Engineering & Director of Faculty Development & I.Q.A.C., J.N.T.U.A.,
Anantapuramu, Andhra Pradesh, India
B VENKATESH
Assistant Professor, Department of Mechanical Engineering, Annamacharya
Institute of Technology & Sciences, Rajampet, Kadapa, Andhra Pradesh, India.
B BHARGAVI
Assistant Professor, Department of Computer Science Engineering, Annamacharya
Institute of Technology & Sciences, Kadapa, Andhra Pradesh, India
ABSTRACT
Biodiesel was produced from edible and non-edible. Palm is the primary source of usage in
India for cooking purposes. Waste cooking palm in a form of Palm Oil Methyl Ester used
in various ratios of blends for measuring the engine performance measure parameters on a
4-stroke single-cylinder diesel engine. The present work involves experimental design to
experiment. The Taguchi orthogonal array introduced to maximize the experimental data
with a minimum combination of experiments. The solicitation of the Taguchi method in
blend with grey relational analysis has applied for solving multiple response optimization
problems. A grey relational grade, evaluated with grey relational analysis, has been
espoused to conceal an optimal parameter amalgamation. Using grey relational class and
signal to noise ratio as a performance index, finally performed the parametric optimization
by predicting the results and then verified it with confirmatory experiment.
Keywords: 4-stroke single-cylinder diesel engine, Optimization, Palm Oil Methyl Ester,
Taguchi Design of Experiments, Grey relational analysis
1. INTRODUCTION
The quest for useful energy and the desire to have a clean and green environment is always
of great interest to any researcher. The rapidly declining petroleum reserves have already
given the worldwide warning signal for alternative ways to meet rising energy needs.
Furthermore, harmful emissions of fossil fuels must also take care of [1]. Biodiesel made
from different renewable sources has become a viable alternative for use as a fuel in
Compression Ignition (CI) engines. Biodiesel referred to as mono-alkyl esters of long-
chain fatty acids. With the help of a chemical process known as transesterification, the
biodiesel is produced from vegetable oils and used for compression ignition (CI) engines.
The deviation of the percentage concentration of methyl esters in biodiesel from different
sources leads to considerable changes in the physical and chemical properties of biodiesel,
which in turn affects the characteristics of the engine used. Biodiesel from a choice of
feedstocks has been tried by different researchers to learn and analyze the performance,
emission, and combustion characteristics of the CI engine. Encouraging results such as the
decrease in emissions like hydrocarbon (HC), a decrease in brake power (BP), and finally
increase in brake specific fuel consumption (BSFC) has been reported [2]. However, the
major obstacle in commercializing biodiesel produced from vegetable oil (PALM OIL) is
the cost of its production.
Meanwhile, an enormous quantity of used cooking oil wasted worldwide. Disposal
of such oil is again a concern as pollution problems arise when placing such materials in
rivers and landfills. It can lead to problems in maintaining environmental balance. The best
way to avoid contamination of the waste cooking palm oil used to produce biodiesel and
use it in CI engines. Therefore, biodiesel produced from waste frying oil or junk cooking
oil is the cheapest alternative to pure diesel in many parts of the world [3]. Waste cooking
methyl esters oil from different origins used as fuel for diesel engines to study their effects.
Experimented with waste cooking oil from palm oil and with blends of waste oil and pure
diesel and analyzed the emission and performance characteristics of a single-cylinder four-
stroke water-cooled diesel engine.
Waste cooking oil used as an exciting agent to reduce the overall viscosity and
cloud point of the mixture as well as the ester. The purpose of the present work is to
investigate the effects of palm oil-based biofuels on the performance and the emission
characteristics of a diesel engine fuelled with those fuels. Preheated palm oil, PO/diesel
blends, and methyl/ethyl esters of the PO mixture in different proportions used.
Performance and emission tests performed at different engine loads and constant engine
speed for each type of fuel. The cause that biodiesel is not utilizing usually in the region of
the world is due to the high cost of raw materials. To overwhelm this, one can use lower
worth oils, for example, waste cooking oils or animal fats that produced in excess in food
processing trades. Utilize waste cooking oil can as well help to lighten the problem of
waste oil disposal [4].
Much research has conceded out on the production of biodiesel from fresh
vegetable and animal oil cradles, but the use of waste cooking oil, such as palm oil, where
Malaysia is a leading manufacturer of palm oil, has not been well recognized, although
frequently mentioned. The main objectives of the present research are to optimize the
conditions for waste baking oil to biodiesel production, identify fatty acid methyl esters
produced and classify them based on their viscosity, total acid count, elemental
composition, emission rate and engine performance [5].
For biodiesel production, vegetable oil as an essential feedstock. Vegetable oil has
collected from the from street shops in Kolkata has used for preparing biodiesel. Alcohol
ratio, catalyst concentration, stirring rate, time, and temperatures are affected in
transesterification. The process parameters were optimized, and the highest biodiesel
capitulate of 94% has been achieved [6].
They were agreed on experimental work to investigate the operating situations that
maximize the biodiesel production after waste cooking oil. The conversion of waste
cooking oil from the domestic dwelling by transesterification reaction is useful to obtain
biodiesel. The tests carried out on waste cooking oil samples coming from domestic
dwelling and characterized by an FFA content equal to 3%, have shown that NaOH
concentration of 0.5% w/w oil and 100% of methanol surplus represent the best-operating
conditions. Indeed they permit to obtain a reaction yield of 94.3% and a biodiesel density
of 0.875 g/cm3 [7].
Leisurely the combustion characteristics and emissions of compression ignition
diesel engines using biodiesel as an alternative fuel. The experiments are conducted at 4-
stroke 1-cylinder diesel engine variable speed 1200-2600 rpm. They collected oil from the
Tafila Technical University restaurant and converted it into biodiesel for experimentation.
The test had conducted on B5, and the B20 blend without engine modification and
observed emission reduced at satisfactory loads. The final results observed that while
compared with diesel CO, HC significantly reduce, and NOx raised. Biodiesel has a 5.95
% increasing in brake-specific fuel consumption due to its worse heating rate. However,
waste cooking oil blends B20 and B5 gave better performance and emissions. The
experimental results illustrate that the fuel consumption rate, brake thermal efficiency, and
exhaust gas temperature increased while the BSFC, emission indices of CO2, CO
decreased with an increase of engine speed. Also, the engine power increased while
increasing the biodiesel percentage; the brake specific power consumption varied from
16.8 to 13.81 MJ / kW kg for the standard diesel while the B20 for the standard diesel was
between 16.8 and 13.81 MJ / kW for the B5. Biodiesel CO2, produced in conjunction with
the peroxidation process, has the lowest equivalence ratio and emission index of CO [8].
A.M. Liaquat et al. [9] approved the experimental work to analyze engine
performance and emissions characteristics for diesel engines using different blend fuels
without any engine modification. A total of four fuel samples, such as DF, JB5, JB10, and
J5W5 in that order, were used in this study. The test was conducted at full load at a
variable speed of 1500 rpm to 2400 rpm to maintain a fully open throttle valve. Whereas,
emission tests passed out at 2300 rpm at 100% and 80% throttle position. Finally, the
investigators observed that JB5, JB10, and J5W5 show torque reduction of 0.6%, 1.6%,
and 1.4% and power reduction 0.7%, 1.7%, and 1.5%, respectively. Average amplify in
BSFC compared to DF was observed as 0.54%, 1.0% JB10, and 1.14% for JB5, JB10, and
J5W5, respectively. In exhaust gas emission case, when compared with diesel observed
average decrement in hydrocarbons for JB5, JB10 and J5W5 at 100% throttle position and
2300 rpm found as 8.9%, 11.3%, and 12.6%, whereas, at 80% throttle position, lessening
was 16.3%, 30.3%, and 32% respectively. Near 2300 rpm CO reduced at fully open throttle
position for JB5, JB10, and J5W5 found as 17.3%, 25.9%, and 26.99%, where, at 80%
throttle position, the reduction observed 20.70%, 33.24%, and 35.57%. Similarly, for JB5,
JB10, and J5W5, the CO2 reduction was 12.10%, 20.51%, and 24.91% compared to DF for
2300 rpm and 100% throttle position, while for 80% throttle position, the reductions were
5.98%, 10.38%, and 18.49% respectively. However, some NOx emissions increased for all
composite fuels compared to DF. For fear that of noise emission, the sound level for all
blend fuels was reduced compared to DF. Finally concluded that the JB5, JB10, and J5W5
blends could use in diesel engines. However, the W5B5 gave some excellent results
compared to the JB10. Change in compression ratio ranges 14 to 18 resulted in 18.4%,
27.5%, 18.5%, and 19.8% increase in brake thermal efficiency in the case of B10, B20,
B30, and B50, respectively. When the compression ratio increased from 14 to 18, CO2
emissions increased by 14.28%, HC emissions by 52%, CO emissions by 37.5%, and NOx
emissions by 36.84%.
The purpose of this work is to determine the optimum mixtures of diesel and palm
oil, resulting in improved performance of the engine along with minimum emissions.
Following the Gray-Taguchi approach, the multi-response problem converted into one
using the weighting factors of the grey relational analysis. Finally, the validation results
were carried out by experimentation results.
Levels
Design factor
1 2 3 4 5
Load 0 25 50 75 100
Blend 0 20 40 60 80
2. EXPERIMENTAL SETUP
The experiment beleaguered on a single-cylinder four-stroke diesel engine. A gas
analyzer used for the measurement of carbon monoxide (CO), oxides of nitrogen (NOX),
unburned hydrocarbon (HC), oxygen O2), and carbon dioxide also. CO measured as
percentage volume, and NO, HC measured as n-hexane equivalent, parts per million
(ppm). The engine was subjected to different loads (0 kg, 3 kg, 6 kg, 9 kg, and 12 kg),
corresponding to load ranging from 0% at the lowest level and 100% at the highest level.
The experiments were conducted using B 0 (0% PO, 100% diesel),B20 (20% PO, 80%
diesel), B40 (40% PO, 60% diesel), B60 (60% PO, 40% diesel), and B80 (80% PO, 20%
diesel) under different load conditions on the engine and the results are noted. Engine
speed kept constant 1500 rpm. While at the time of experimentation, whenever the blend
has changed, the fuel supply line was clean and left the engine on a no-load condition for a
half-hour. By AVL DIG AS 444, five gas analysers used for analysing engine emissions.
BHP 5 HP
Bore diameter 80 mm
3. DESIGN OF EXPERIMENT
Taguchi Method of DOE [10]
The Taguchi method helps to design a minimum possible number of experiments.
Taguchi method uses a unique design of orthogonal arrays to study the entire restriction
space with a small number of trials. For more accurate resulting Signal to Noise (S/N)
ratios are was planned for analyzing the performance. Based on the Taguchi design, the
L25 orthogonal array has selected for the experiments in MINITAB 17. All of this data
used for the analysis and evaluation of a combination of optimal parameters.
Grey Relational Analysis [11]
In this analysis, maintain responses first normalized range 0 to 1. Based on these
statistics, grey relation coefficients are premeditated to represent the correlation between
the ideal (best) and the actual normalized experimental data. Then the average grey
correlation is determined to the selected responses by overall grey relation grade. For
calculating the grey relation grade, it depends on the multi-response process and its
characteristics.
Normalization
Normalization of the signal to noise ratio performed to prepare raw data for the
analysis where the original sequence transformed into a comparable sequence. Generally, a
linear generalization is necessary since the range and unit in one data series may differ
from the others [12].
If the bull's eye value of the original order is infinite, it has the characteristic of
"higher is the better one." The original sequence can be generalized as follows:
Though there is having a definite desired value (target value) to attain, the
normalizing sequence is in the form of:
Otherwise, the unique sequence can simply normalize by the elementary method,
i.e., let the values of the original sequence divided by the first value of the sequence [13]:
Where Δ0i is the aberration sequence of the reference. The value of ζ is the smaller,
and the unique ability is the larger. ζ = 0.5 is generally used. Grey relational coefficient for
27 comparability sequences.
(3) Calculation of grey relational grade (GRG) [14]
After the grey relational coefficient is consequent, it is customary to take the
average value of the grey relational coefficients as the grey relational grade. The grey
relational grade is defined as follows:
Figure 2. Main effects plot for SN ratio and Grey relational grade for optimum
conditions.
5. CONCLUSIONS
This work, it appears that biodiesel is going to be a natural choice for our future
transportation fuel. The other combination of experience and reasoning is possible to distill
some conclusions about biodiesel as an automotive fuel, particularly in a developing
country like India. The present work establishes the following facts.
From the above study, the multi-response parameters (engine performance and
emission study) are optimized using grey relational analysis and converted into a single
response. Then Taguchi's methodology is used to analyze the experimental data. The main
effects plot for both mean of average grey grade and signal to noise ratio the optimized
combination is found to be A5B2. In that combination, it predicts from the experimental
data that the engine performance is comparable to that of diesel. Moreover, the emissions
are less than that for diesel. That means from the used blends of biodiesel and diesel, and
the B 20 blend found to be the most suitable blend for use in the diesel engine without any
engine modification. The corresponding load applied on the engine is 100% load, I .e.12 kg
load. The confirmation test is also carried out to verify it and finally observed the
improvements of grey relational grade and signal to noise ratios.
Finally, it can conclude that without any engine modifications, biodiesels can use.
And from our experimental view, the best blend is the B20 blend, where the engine
performance is comparable to that of diesel, and the emissions are less than from diesel.
REFERENCES