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International Journal of Research in Advent Technology, Vol.2, No.8, August 2014 
E-ISSN: 2321-9637 
44 
Optimization of Operating Power in the Bicycle using 
Non-circular Chain Ring: Review 
Prof. Mahesh S. Gorde 1 
, Prof. Vishal V.Bhoyar2 
, Prof. Satish B. Chawale3 Prof.Nishant D.Jogi4 
Department of Mechanical Engineering, Jawaharlal Darda College of Engineering & tech., 
Yavatmal 1,2,3,4 
gordemahesh7@rediffmail.com1, vishalsadguru@gmail.com2, satishchawale@gmail.com3 
ngjogi@gmail.com4 
Abstract: This paper attempts to provide the reader with a complete picture of recent development in the field of 
optimization of operating power in the bicycle using Non-circular chain ring through a systematic literature 
review. Since many countries, the bicycle has been introduced as part of the urban transportation system to extend 
the accessibility of public transportation systems to final destinations. Usage of bicycles can help reduce air 
pollution produced by fuel combustions and has many advantages compared to other transportation mode . These 
facts have caused some communities to promote “Bike to Work” movements. Many research are carried out to 
optimized operating power & increased operating efficiency of the bicycle using Non-circular chain ring. 
Keywords: Bicycle, circular chainring , Non-circular chainring. 
1. INTRODUCTION 
The bicycle rider undergo heavy physical stress during 
riding of bicycle. In India, bicycles are one of the most 
important means of transportation. In the past years, the 
changes that took place in the design of the bicycle have 
not been very prominent. Several studies have been 
carried out on use of eccentric & non-circular chain rings 
in bicycle. Many researcher focused on improvement of 
operating efficiency of bicycle using various type of chain 
rings viz. Q-ring, O symmetric-Harmonic ring, Ovum 
ring, Ogival ring, LM- super ring , Polchlopek oval ring 
etc. Most of the studies shows the comparison of any one 
type of non-circular chain ring with circular chain ring. A 
literature review has been done on recent developments in 
the areas of pedal operated bicycle. 
Photographic view of various Non-circular chain 
rings as shown in table. 
O.symetric- 
Harmonic 
Q-Ring 
(Rotor) 
Polchlopek 
oval 
Ovum Ogival LM-Super 
2. LITERATURE REVIEW 
Carpes F.P. investigated the three-dimensional 
(3-D) pedaling kinematics using a noncircular chain ring 
system and a conventional system. The purpose of this 
study was to investigate the effects of a noncircular chain 
ring system design for cycling on the 3-D pedaling 
kinematics of cyclists new to the system. Statistical 
significant differences in pedaling kinematics were found 
between the noncircular chain ring system evaluated and a 
conventional crank system. As this investigation was 
carried out on indoor wind-load cycling simulator 
(Cateye CS 1000, Cateye Co., Japan) the various factor in 
actual road condition are not consider in it. 
Gerda S. investigated kinetics and kinematics 
between circular and two different shapes of non-circular 
chain rings. With the help 14 cyclists pedaling on 90 rpm, 
two-minutes cycling trials using three chain rings ranging 
from circular to ovality of 1.10 and 1.215 has been carried 
out . A significant increase of tangential pedal forces and 
hip joint moments were observed. Non-circular chain 
rings do not evidently seem to enhance performance, but 
facilitated conditions for muscle activation as well as a 
reduction of knee joint moments can occur. 
Rankin J.W developed musculoskeletal model by 
using SIMM software .As most studies have sought to 
improve cycling performance by altering various aspects 
of the pedaling motion using novel crank–pedal 
mechanisms and non-circular chain rings. However, most 
designs have been based on empirical data and very few 
have provided significant improvements in cycling 
performance. In this research work author developed 
musculoskeletal model by using SIMM software. Forward 
dynamic simulation and dynamic optimization were used
International Journal of Research in Advent Technology, Vol.2, No.8, August 2014 
E-ISSN: 2321-9637 
45 
to determined the muscle excitation pattern and chain ring 
shape that maximized average crank power over the 
pedaling rate 60,70,90 rpm. Power during isokinetic 
pedaling conditions. The optimization identified a 
consistent non-circular chainring shape at pedaling rates 
of 60, 90 and 120 rpm with an average eccentricity of 
1.29 that increased crank power by an average of 2.9% 
compared to a conventional circular chainring. 
The purpose of this study was to use a theoretical 
framework that included a detailed musculoskeletal model 
driven by individual muscle actuators, forward dynamic 
simulations and design optimization to determine if 
cycling performance (i.e., maximal power output) could 
be improved by optimizing the chainring shape to 
maximize average crank. 
Neptune R.R investigated whether 
neuromuscular quantities were associated with preferred 
pedaling rate selection during submaximal steady-state 
cycling from a theoretical perspective using a 
musculoskeletal model with an optimal control analysis. 
Specific neuromuscular quantities of interest were the 
individual muscle activation, force, stress and endurance. 
To achieve this objective, a forward dynamic model of 
cycling and optimization framework were used to 
simulate pedaling at three different rates of 75, 90 and 
105 rpm at 265 W. The pedaling simulations were 
produced by optimizing the individual muscle excitation 
timing and magnitude to reproduce experimentally 
collected data. The results from these pedaling 
simulations indicated that all neuromuscular quantities 
were minimized at 90 rpm when summed across muscles. 
In the context of endurance cycling, these results suggest 
that minimizing neuromuscular fatigue is an important 
mechanism in pedaling rate selection. A second objective 
was to determine whether any of these quantities could be 
used to predict the preferred pedaling rate. By using the 
quantities with the strongest quadratic trends as the 
performance criterion to be minimized in an optimal 
control analysis, these quantities were analyzed to assess 
whether they could be further minimized at 90 rpm and 
produce normal pedaling mechanics. The results showed 
that both the integrated muscle activation and average 
endurance summed across all muscles could be further 
minimized at 90 rpm indicating that these . quantities 
cannot be used individually to predict preferred pedaling 
rates 
Belen L. proposed a new PC prototype chain 
ring (non-circular) and theoretically it was found that it is 
more efficient than conventional circular chain ring .The 
main feature of the PC is that crank-arm alignment and 
lever-arm length change as a function of the crank angle 
during the pedaling cycle. The PC presents two features 
theorized to effect cycling performance, first one out of 
line of pedal cranks resulting in an decrease in the dead 
points, and second a change in crank arm length inducing 
a torque different from that of conventional chain rings 
during the down- and up-stroke of the pedaling cycle. To 
investigate this theory, author examined eight male 
cyclists who performed a 1-km ‘‘all-out’’ cycling test in 
the following order: SC, PC, and SC. Performance was 
measured as the time (s) to complete the 1-km test. 
Mechanical variables included torque (N m_1), crank 
velocity (rads_1), and power output (W). They performed 
statistical analysis using a two-way ANOVA for repeated 
measurements and Newman–Keuls post hoc assessment. 
And the results shows that performance was similar for 
SC 69.41 ± 6.69 s) and PC (73.33 ± 4.58 s). Torque, crank 
velocity, and power output were also similar throughout 
(P > 0.05). Finally they conclude that despite the 
theoretically benefits proposed by the inventors the new 
PC investigated in their study failed to improve cycling 
performance or mechanical variables during a 
supramaximal test when compared with SC. 
Rasmussen J., described the optimization of a 
bicycle crank mechanism equipped with springs. The 
purpose of the springs is to cause an even torque 
development over the crank cycle by elimination of the 
so-called dead centers of the cycle. The field of virtual 
prototyping as manifested by technologies such as 
Computer-Aided Design, Finite Element Methods, and 
Computational Fluid Dynamics has had a very significant 
impact on modern product design. Hardly any advanced 
product today is designed without the use of some sort of 
computer simulation, and virtually any technical property 
of products can be analyzed, including strength, vibration, 
heat conduction, magnetism, flow, acoustics, and light 
reflection just to mention a few. However, one prominent 
property of products has been missing from the range of 
analysis facilities until recently: The mechanical influence 
of the product on the human body has not been in the 
range of analysis. This property also often called 
ergonomics does not seem like a very important addition 
at first glance. 
Modak J.P., suggested machine system used 
human energy achieved by pedalling and stores this 
energy in a flywheel at an energy-input rate convenient to 
the pedaller. After storing the maximum possible energy 
in the flywheel (pedaling time could be 1-2 minutes) the 
same can be made available for the actuation of any 
process unit by making available the energy stored in the 
flywheel through a suitable clutch and torque-amplification 
if needed. Thus the flywheel will decelerate 
depending on the actual resisting torque offered by the 
process. It implies that the pedaller does not pedal while 
the flywheel is supplying energy to the process-unit. 
[8] Spicer J.B.,performed experimental study on the 
efficiency of bicycle chain drives under a variety of 
operating conditions and to explore the factors that govern 
chain drive efficiency. The efficiencies of bicycle chain 
drives was investigated both experimentally and
International Journal of Research in Advent Technology, Vol.2, No.8, August 2014 
E-ISSN: 2321-9637 
46 
theoretically to provide quantitative measurements of 
chain drive efficiency and to present models for power 
loss. These models for drive losses have been used to 
interpret experimental results. Assuming that the losses in 
the chain drive result from friction between contacting 
components that execute motion relative to one another, 
there are three significant sources for loss as follows: [1] 
Inner link bushing and chain pin, [2] Chain line offset, [3] 
Sprocket tooth, link roller and inner link bushing. Tests of 
efficiency for the derailleur-type chain drive indicate that 
the overall efficiencies for the transfer of power from the 
front drive sprocket to the rear sprocket range from 80.9% 
to 98.6%. Primary factors affecting the efficiency include 
the sizes of the sprockets in the drive and the tension in 
the chain. Experimentally it was found that larger 
sprockets provide more efficient transfer of power while 
smaller sprockets proved to be less efficient. In frictional 
loss models a 2–5% loss difference was measured 
between the 52–11 and the 52–21 sprocket combinations 
depending on the drive operating conditions.. 
Zikiuddin K.S.,discussed the importance of 
human power from the earliest times to the present and its 
future scope. As the use of natural fuel is increased due to 
industrial development, it’s storage going to end. We need 
to come with alternate source of energy, i.e non 
conventional energy. Human power credits its importance 
in search of an alternative source of energy as it fulfills 
the requirement of renewable source of energy. More 
effective use of human power can do by using 
mechanisms. The technology used to transmit human 
power to the working unit is termed as human powered 
machine. The appropriate and most effective technology 
to use human power efficiently is bicycle technology and 
more scientific effort is needed to increase the efficiency 
of bicycle. 
Hue O. compared the circular & non circular 
(eccentric) chainring operating performance 
physiologically & biomechanically with 1.05 & 1.38 
eccentricity of chainring at outdoor 1- km laboratory test. 
The eccentrically design chainring was made of two crank 
arms sliding into each other, with the inside arm fixed on 
the center of the arm of a circuler chainring and outside 
arm sliding along the inside and revolving around an 
elliptical cam.In this design increase crank arm length at 
the downstroke and decreases it during the upstroke, thus 
increasing and decreasing the torque. Author conclude 
that eccentric chainring significantly improved the cycling 
performance during all-out 1-km test. But all variable 
parameters were not considered in this study. 
A.R.Lende ,developed model & simulation of 
human powered for field data in the course of artificial 
neural network and also try to developed artificial 
intelligence. The experimental Independent variables 
were reduced by evaluating dimensionless pi terms by 
Buckingham pi theorem and a mathematical equation was 
generated by traditional method to predict them 
experimental findings. The equation is as shown. ω T = 
1.288 ( I/RT2)-0.46 (ME)-0.87 (G)0.40. This research is 
contributes in development of optimal model through 
artificial neural network which enables to predict 
experimental results accurately for seen and unseen data. 
Ohara C.R. described the effects of chainring 
type (circular vs. the non- circular Rotor Q-Ring) on 
performance during a 1km time trial and physiological 
responses over a six week period. Eight competitive male 
cyclists and triathletes were pre-tested using the original 
circular chainring. Graded submaximal exercise tests 
were followed by the 1km time trial with subjects using 
their own racing bicycle. The circular chainrings were 
then removed and replaced with Rotor Q-Rings during the 
intervention period. Subjects trained and raced with this 
alteration to their bicycles and repeated the submaximal 
and 1km performance tests for the next four weeks. Post-testing 
occurred with the original circular chainrings for 
the final week of testing. Oxygen consumption, carbon 
dioxide output, heart rate, ventilation, respiratory 
exchange ratio, and perceived exertion were continuously 
measured during the submaximal tests. Blood lactate 
concentration was measured during the last 30 s of each 
three minute stage. The main findings were 1) Significant 
increases in performance in the 1km time trial with Rotor 
Q-Rings compared to circular chainrings. Subjects 
completed the time trial on average 1.6 seconds faster , 
increased average speed approximately 0.7 kph , and 
increased average power approximately 26 watts . 2) 
During submaximal testing, oxygen consumption and 
heart rate were significantly lower with Rotor Q-Rings 
compared to circular chainrings. 
3. CONCLUSION 
Many research are carried out to optimized 
operating power & increased operating efficiency of the 
bicycle using Non-circular chain ring. This paper gives 
overall review of Optimization of operating power in the 
Bicycle using Non-circular chain ring. But still non-circular 
chain ring is not in use because of some practical 
problem so this area having a lot of scope for research. 
REFERANCES 
[1] Carpes F.P. “Cycling with noncircular chainring 
system changes the three-dimensional kinematics of 
the lower limbs ” Sports Biomechanics November 
2009; 8(4): 275–283. 
[2] Gerda S. , “Pedal forces, lower limb joint kinematics 
and kinetics in cycling with circular and non-circular 
chainring ”, 30 th Annual conference of Biomechanics 
in sports – Melbourne 2012. 
[3] Rankin J.W.,”A theoretical analysis of an optimal 
chainring shape to maximize crank power during
International Journal of Research in Advent Technology, Vol.2, No.8, August 2014 
E-ISSN: 2321-9637 
47 
isokinetic pedaling” Elsevier Science, Journal of 
Biomechanics 41(2008) p.p.1494-1509. 
[4] Neptune R.R.,” A theoretical analysis of preferred 
pedaling rate selection in endurance cycling ”, Elsevier 
Science, Journal of Biomechanics 32 (1999) 409-415. 
[5]Belen L.” Cycling performance and mechanical 
variables using a new prototype chainring” Springer-verlag, 
007,2007. 
[6]Rasmussen J., “Ergonomic optimization of a spring-loaded 
bicycle crank”, 6th World Congresses of 
Structural and Multidisciplinary Optimization Rio de 
Janeiro, 30 May - 03 June 2005, Brazil. 
[7] Modak J.P., “ Design and development of a human-powered 
machine for the manufacture of lime-flyash-sandbricks 
” Human Power, technical journal of the 
IHPVA, vol.13, No-2,1998. 
[8] Spicer J.B., “Effect of Frictional loss on Bicycle 
chain drive efficiency” Biomechanics in Sport, ASME 
, vol .23, 2001, 598-605. 
[9] Zikiuddin K.S., “ Human Power: An Earliest Source 
of Energy and Its Efficient use ” IJSSBT, vol.1,March 
2012, 67-69. 
[10] Hue O. ,”Enhancing cycling performance using an 
eccentric chainring ” Med. Sci. sports Exerc. Vol.33, 
No.6,2001. 
[11] A.R.Lende, “ Modelling & Simulation of Human 
Powered Flywheel Motor For Field Data in the course 
of Artificial Neural Network- A Step forward in the 
development of Artificial Intelligence” IJRET, vol. 
02,issue12 ,Dec.2013. 
[12] Ohara C.R. , “Effects of Chainring Type (Circular vs. 
Rotor Q-Ring) on 1km Time Trial Performance Over 
Six Weeks in Competitive Cyclists and Triathletes” 
International Journal of Sports Science and 
Engineering Vol. 06 (2012) No. 01, pp. 025-040. 
[13] Gonzalcez H., “Multivariable Optimization of 
Cycling Biomechanics”, J. Biomechanics vol.22, 
No.11, 1989,Great Britain. 
[14] Zhongxia X. , “Optimal Design of Bicycle Frame 
Parameters Considering Biomechanics”, Chinese 
Journal of Mechanical Engineering, Vol. 24, 2011 . 
[15] J. P. Modak, "Human Powered Flywheel Motor, 
Concept, Design & Applications" D.Sc (Engg. & 
Tech.) Thesis being submitted to Nagpur University, 
Dec. 2007.

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Paper id 28201417

  • 1. International Journal of Research in Advent Technology, Vol.2, No.8, August 2014 E-ISSN: 2321-9637 44 Optimization of Operating Power in the Bicycle using Non-circular Chain Ring: Review Prof. Mahesh S. Gorde 1 , Prof. Vishal V.Bhoyar2 , Prof. Satish B. Chawale3 Prof.Nishant D.Jogi4 Department of Mechanical Engineering, Jawaharlal Darda College of Engineering & tech., Yavatmal 1,2,3,4 gordemahesh7@rediffmail.com1, vishalsadguru@gmail.com2, satishchawale@gmail.com3 ngjogi@gmail.com4 Abstract: This paper attempts to provide the reader with a complete picture of recent development in the field of optimization of operating power in the bicycle using Non-circular chain ring through a systematic literature review. Since many countries, the bicycle has been introduced as part of the urban transportation system to extend the accessibility of public transportation systems to final destinations. Usage of bicycles can help reduce air pollution produced by fuel combustions and has many advantages compared to other transportation mode . These facts have caused some communities to promote “Bike to Work” movements. Many research are carried out to optimized operating power & increased operating efficiency of the bicycle using Non-circular chain ring. Keywords: Bicycle, circular chainring , Non-circular chainring. 1. INTRODUCTION The bicycle rider undergo heavy physical stress during riding of bicycle. In India, bicycles are one of the most important means of transportation. In the past years, the changes that took place in the design of the bicycle have not been very prominent. Several studies have been carried out on use of eccentric & non-circular chain rings in bicycle. Many researcher focused on improvement of operating efficiency of bicycle using various type of chain rings viz. Q-ring, O symmetric-Harmonic ring, Ovum ring, Ogival ring, LM- super ring , Polchlopek oval ring etc. Most of the studies shows the comparison of any one type of non-circular chain ring with circular chain ring. A literature review has been done on recent developments in the areas of pedal operated bicycle. Photographic view of various Non-circular chain rings as shown in table. O.symetric- Harmonic Q-Ring (Rotor) Polchlopek oval Ovum Ogival LM-Super 2. LITERATURE REVIEW Carpes F.P. investigated the three-dimensional (3-D) pedaling kinematics using a noncircular chain ring system and a conventional system. The purpose of this study was to investigate the effects of a noncircular chain ring system design for cycling on the 3-D pedaling kinematics of cyclists new to the system. Statistical significant differences in pedaling kinematics were found between the noncircular chain ring system evaluated and a conventional crank system. As this investigation was carried out on indoor wind-load cycling simulator (Cateye CS 1000, Cateye Co., Japan) the various factor in actual road condition are not consider in it. Gerda S. investigated kinetics and kinematics between circular and two different shapes of non-circular chain rings. With the help 14 cyclists pedaling on 90 rpm, two-minutes cycling trials using three chain rings ranging from circular to ovality of 1.10 and 1.215 has been carried out . A significant increase of tangential pedal forces and hip joint moments were observed. Non-circular chain rings do not evidently seem to enhance performance, but facilitated conditions for muscle activation as well as a reduction of knee joint moments can occur. Rankin J.W developed musculoskeletal model by using SIMM software .As most studies have sought to improve cycling performance by altering various aspects of the pedaling motion using novel crank–pedal mechanisms and non-circular chain rings. However, most designs have been based on empirical data and very few have provided significant improvements in cycling performance. In this research work author developed musculoskeletal model by using SIMM software. Forward dynamic simulation and dynamic optimization were used
  • 2. International Journal of Research in Advent Technology, Vol.2, No.8, August 2014 E-ISSN: 2321-9637 45 to determined the muscle excitation pattern and chain ring shape that maximized average crank power over the pedaling rate 60,70,90 rpm. Power during isokinetic pedaling conditions. The optimization identified a consistent non-circular chainring shape at pedaling rates of 60, 90 and 120 rpm with an average eccentricity of 1.29 that increased crank power by an average of 2.9% compared to a conventional circular chainring. The purpose of this study was to use a theoretical framework that included a detailed musculoskeletal model driven by individual muscle actuators, forward dynamic simulations and design optimization to determine if cycling performance (i.e., maximal power output) could be improved by optimizing the chainring shape to maximize average crank. Neptune R.R investigated whether neuromuscular quantities were associated with preferred pedaling rate selection during submaximal steady-state cycling from a theoretical perspective using a musculoskeletal model with an optimal control analysis. Specific neuromuscular quantities of interest were the individual muscle activation, force, stress and endurance. To achieve this objective, a forward dynamic model of cycling and optimization framework were used to simulate pedaling at three different rates of 75, 90 and 105 rpm at 265 W. The pedaling simulations were produced by optimizing the individual muscle excitation timing and magnitude to reproduce experimentally collected data. The results from these pedaling simulations indicated that all neuromuscular quantities were minimized at 90 rpm when summed across muscles. In the context of endurance cycling, these results suggest that minimizing neuromuscular fatigue is an important mechanism in pedaling rate selection. A second objective was to determine whether any of these quantities could be used to predict the preferred pedaling rate. By using the quantities with the strongest quadratic trends as the performance criterion to be minimized in an optimal control analysis, these quantities were analyzed to assess whether they could be further minimized at 90 rpm and produce normal pedaling mechanics. The results showed that both the integrated muscle activation and average endurance summed across all muscles could be further minimized at 90 rpm indicating that these . quantities cannot be used individually to predict preferred pedaling rates Belen L. proposed a new PC prototype chain ring (non-circular) and theoretically it was found that it is more efficient than conventional circular chain ring .The main feature of the PC is that crank-arm alignment and lever-arm length change as a function of the crank angle during the pedaling cycle. The PC presents two features theorized to effect cycling performance, first one out of line of pedal cranks resulting in an decrease in the dead points, and second a change in crank arm length inducing a torque different from that of conventional chain rings during the down- and up-stroke of the pedaling cycle. To investigate this theory, author examined eight male cyclists who performed a 1-km ‘‘all-out’’ cycling test in the following order: SC, PC, and SC. Performance was measured as the time (s) to complete the 1-km test. Mechanical variables included torque (N m_1), crank velocity (rads_1), and power output (W). They performed statistical analysis using a two-way ANOVA for repeated measurements and Newman–Keuls post hoc assessment. And the results shows that performance was similar for SC 69.41 ± 6.69 s) and PC (73.33 ± 4.58 s). Torque, crank velocity, and power output were also similar throughout (P > 0.05). Finally they conclude that despite the theoretically benefits proposed by the inventors the new PC investigated in their study failed to improve cycling performance or mechanical variables during a supramaximal test when compared with SC. Rasmussen J., described the optimization of a bicycle crank mechanism equipped with springs. The purpose of the springs is to cause an even torque development over the crank cycle by elimination of the so-called dead centers of the cycle. The field of virtual prototyping as manifested by technologies such as Computer-Aided Design, Finite Element Methods, and Computational Fluid Dynamics has had a very significant impact on modern product design. Hardly any advanced product today is designed without the use of some sort of computer simulation, and virtually any technical property of products can be analyzed, including strength, vibration, heat conduction, magnetism, flow, acoustics, and light reflection just to mention a few. However, one prominent property of products has been missing from the range of analysis facilities until recently: The mechanical influence of the product on the human body has not been in the range of analysis. This property also often called ergonomics does not seem like a very important addition at first glance. Modak J.P., suggested machine system used human energy achieved by pedalling and stores this energy in a flywheel at an energy-input rate convenient to the pedaller. After storing the maximum possible energy in the flywheel (pedaling time could be 1-2 minutes) the same can be made available for the actuation of any process unit by making available the energy stored in the flywheel through a suitable clutch and torque-amplification if needed. Thus the flywheel will decelerate depending on the actual resisting torque offered by the process. It implies that the pedaller does not pedal while the flywheel is supplying energy to the process-unit. [8] Spicer J.B.,performed experimental study on the efficiency of bicycle chain drives under a variety of operating conditions and to explore the factors that govern chain drive efficiency. The efficiencies of bicycle chain drives was investigated both experimentally and
  • 3. International Journal of Research in Advent Technology, Vol.2, No.8, August 2014 E-ISSN: 2321-9637 46 theoretically to provide quantitative measurements of chain drive efficiency and to present models for power loss. These models for drive losses have been used to interpret experimental results. Assuming that the losses in the chain drive result from friction between contacting components that execute motion relative to one another, there are three significant sources for loss as follows: [1] Inner link bushing and chain pin, [2] Chain line offset, [3] Sprocket tooth, link roller and inner link bushing. Tests of efficiency for the derailleur-type chain drive indicate that the overall efficiencies for the transfer of power from the front drive sprocket to the rear sprocket range from 80.9% to 98.6%. Primary factors affecting the efficiency include the sizes of the sprockets in the drive and the tension in the chain. Experimentally it was found that larger sprockets provide more efficient transfer of power while smaller sprockets proved to be less efficient. In frictional loss models a 2–5% loss difference was measured between the 52–11 and the 52–21 sprocket combinations depending on the drive operating conditions.. Zikiuddin K.S.,discussed the importance of human power from the earliest times to the present and its future scope. As the use of natural fuel is increased due to industrial development, it’s storage going to end. We need to come with alternate source of energy, i.e non conventional energy. Human power credits its importance in search of an alternative source of energy as it fulfills the requirement of renewable source of energy. More effective use of human power can do by using mechanisms. The technology used to transmit human power to the working unit is termed as human powered machine. The appropriate and most effective technology to use human power efficiently is bicycle technology and more scientific effort is needed to increase the efficiency of bicycle. Hue O. compared the circular & non circular (eccentric) chainring operating performance physiologically & biomechanically with 1.05 & 1.38 eccentricity of chainring at outdoor 1- km laboratory test. The eccentrically design chainring was made of two crank arms sliding into each other, with the inside arm fixed on the center of the arm of a circuler chainring and outside arm sliding along the inside and revolving around an elliptical cam.In this design increase crank arm length at the downstroke and decreases it during the upstroke, thus increasing and decreasing the torque. Author conclude that eccentric chainring significantly improved the cycling performance during all-out 1-km test. But all variable parameters were not considered in this study. A.R.Lende ,developed model & simulation of human powered for field data in the course of artificial neural network and also try to developed artificial intelligence. The experimental Independent variables were reduced by evaluating dimensionless pi terms by Buckingham pi theorem and a mathematical equation was generated by traditional method to predict them experimental findings. The equation is as shown. ω T = 1.288 ( I/RT2)-0.46 (ME)-0.87 (G)0.40. This research is contributes in development of optimal model through artificial neural network which enables to predict experimental results accurately for seen and unseen data. Ohara C.R. described the effects of chainring type (circular vs. the non- circular Rotor Q-Ring) on performance during a 1km time trial and physiological responses over a six week period. Eight competitive male cyclists and triathletes were pre-tested using the original circular chainring. Graded submaximal exercise tests were followed by the 1km time trial with subjects using their own racing bicycle. The circular chainrings were then removed and replaced with Rotor Q-Rings during the intervention period. Subjects trained and raced with this alteration to their bicycles and repeated the submaximal and 1km performance tests for the next four weeks. Post-testing occurred with the original circular chainrings for the final week of testing. Oxygen consumption, carbon dioxide output, heart rate, ventilation, respiratory exchange ratio, and perceived exertion were continuously measured during the submaximal tests. Blood lactate concentration was measured during the last 30 s of each three minute stage. The main findings were 1) Significant increases in performance in the 1km time trial with Rotor Q-Rings compared to circular chainrings. Subjects completed the time trial on average 1.6 seconds faster , increased average speed approximately 0.7 kph , and increased average power approximately 26 watts . 2) During submaximal testing, oxygen consumption and heart rate were significantly lower with Rotor Q-Rings compared to circular chainrings. 3. CONCLUSION Many research are carried out to optimized operating power & increased operating efficiency of the bicycle using Non-circular chain ring. This paper gives overall review of Optimization of operating power in the Bicycle using Non-circular chain ring. But still non-circular chain ring is not in use because of some practical problem so this area having a lot of scope for research. REFERANCES [1] Carpes F.P. “Cycling with noncircular chainring system changes the three-dimensional kinematics of the lower limbs ” Sports Biomechanics November 2009; 8(4): 275–283. [2] Gerda S. , “Pedal forces, lower limb joint kinematics and kinetics in cycling with circular and non-circular chainring ”, 30 th Annual conference of Biomechanics in sports – Melbourne 2012. [3] Rankin J.W.,”A theoretical analysis of an optimal chainring shape to maximize crank power during
  • 4. International Journal of Research in Advent Technology, Vol.2, No.8, August 2014 E-ISSN: 2321-9637 47 isokinetic pedaling” Elsevier Science, Journal of Biomechanics 41(2008) p.p.1494-1509. [4] Neptune R.R.,” A theoretical analysis of preferred pedaling rate selection in endurance cycling ”, Elsevier Science, Journal of Biomechanics 32 (1999) 409-415. [5]Belen L.” Cycling performance and mechanical variables using a new prototype chainring” Springer-verlag, 007,2007. [6]Rasmussen J., “Ergonomic optimization of a spring-loaded bicycle crank”, 6th World Congresses of Structural and Multidisciplinary Optimization Rio de Janeiro, 30 May - 03 June 2005, Brazil. [7] Modak J.P., “ Design and development of a human-powered machine for the manufacture of lime-flyash-sandbricks ” Human Power, technical journal of the IHPVA, vol.13, No-2,1998. [8] Spicer J.B., “Effect of Frictional loss on Bicycle chain drive efficiency” Biomechanics in Sport, ASME , vol .23, 2001, 598-605. [9] Zikiuddin K.S., “ Human Power: An Earliest Source of Energy and Its Efficient use ” IJSSBT, vol.1,March 2012, 67-69. [10] Hue O. ,”Enhancing cycling performance using an eccentric chainring ” Med. Sci. sports Exerc. Vol.33, No.6,2001. [11] A.R.Lende, “ Modelling & Simulation of Human Powered Flywheel Motor For Field Data in the course of Artificial Neural Network- A Step forward in the development of Artificial Intelligence” IJRET, vol. 02,issue12 ,Dec.2013. [12] Ohara C.R. , “Effects of Chainring Type (Circular vs. Rotor Q-Ring) on 1km Time Trial Performance Over Six Weeks in Competitive Cyclists and Triathletes” International Journal of Sports Science and Engineering Vol. 06 (2012) No. 01, pp. 025-040. [13] Gonzalcez H., “Multivariable Optimization of Cycling Biomechanics”, J. Biomechanics vol.22, No.11, 1989,Great Britain. [14] Zhongxia X. , “Optimal Design of Bicycle Frame Parameters Considering Biomechanics”, Chinese Journal of Mechanical Engineering, Vol. 24, 2011 . [15] J. P. Modak, "Human Powered Flywheel Motor, Concept, Design & Applications" D.Sc (Engg. & Tech.) Thesis being submitted to Nagpur University, Dec. 2007.