Human Powered Flywheel Motor Research Articles

Reliability approximation analysis of formulated mathematical models in pedal powered bamboo slivering operation

This paper presents the reliability approach of formulated mathematical models as well as clubbed models to examine the effects of input factors over the responses of human powered bamboo slicing phenomena. Mathematical models as well as clubbed models were developed for operational time required to cut the bamboo slivers, number or quantity of slivers to be cut and torque (resistive) required for slivering operation run by human powered flywheel motor (HPFM). Experimental data based models evolved represent various responses or output of human powered bamboo slicing phenomena. Design and fabrication of experimental set up was carried out and proper instrumentation was also decided. Design data for sliver cutting was established by the way of performing extensive experimentation. The response data was gathered which was generated by using a wide range of different independent factors by varying them. Performance characteristics were validated on the method of experimentation. The models were optimized. The reliability estimation and analysis of sensitivity was carried out for checking the effect (behavior) of various input parameters with respect to output response parameters. However, this paper entirely presents analysis of reliability evaluation of created models for various operational parameters in human powered bamboo slicing phenomena.

Logarithmic Linearization Approach for Determining the Torque required for Plastic (PVC) shredding operation through Human Powered Flywheel Motor (HPFM)

The practical capacity of Human Powered Flywheel Motor (HPFM) to produce 3 to 5 Horse Power (H.P) in comparison to Motorized machine for shredding the monomer PVC Plastic waste for various applications gives it an advantage to operationalize it in rural sector. The present work is an extension of previously established dimensionless mathematical models using Buckingham Pi-theorem technique. The Current Paper represents the mathematical Model established for the response variable Torque required by the flywheel to shred the PVC Round Plastic pipe of 1 inch, 3/4 inch and 1/2 inch using the approximate Logarithmic Linearization technique. The mathematical model represented here has been generated after experimental results and it helps one to forecast the torque required by the HPFM unit to shred the PVC plastic waste of a particular kind efficiently so that it can be utilized in rural sector for various applications.

Enhancement of Energy Generation in Tandem Drive Human Powered Flywheel Motor by Using Elliptical Sprocket and Double Lever Mechanism

Abstract: The main motive to publish this paper is to reduce the human effort and enhancement of energy in tandem drive Human Powered Flywheel Motor. So, we arrange pedaling system opposite to each other having double pedal known as tandem drive. We use double lever mechanism and elliptical sprocket having the major axis 200 mm and minor axis 180 mm. Here we check how much rpm will generate in flywheel before elliptical sprocket is fitted and after elliptical sprocket is fitted. It also reduces pollution as it is works on human power and improving environmental conditions. Our second objective is to maximize the use of this machine in agricultural areas and rural areas and generate the employment. Also, it is work as new nonconventional energy source which could be considered as PEDDLE POWER

Influence of Operational Variables in Bicycle Driven Bamboo Slicing Phenomena by Methodology of Response Surface Approach

Since global energy consumption rises, there seems to be a pressing need to create innovative technologies for saving energy and power production, especially those with lower ecological effects. There is indeed a current must to discover an alternate for renewable sources of energy to be used at any time from any location as well as being accessible to the entire public. Human energy is indeed a kind of alternative energy which has been employed to varying degrees throughout history. In this regard, this research consists of the design and construction of a pedal-driven bamboo slivering (sliver making) machine powered by a human-powered flywheel motor (HPFM). This article evaluates the overall impacts of several process factors upon the outputs of the human-powered bamboo slivering (sliver cutting) phenomenon, such as torque -resistive, sliver numbers, and processing time. The 108 sets of experiments were carried out based on which experimental based models were formulated by using designed experiments and the influence of several independent (input)factors on response (output factors) variables were investigated in cutting the slivers of bamboo using an approach of response surface methodology.

Establishment of mathematical model to predict the dehulling efficiency in miniature pulse splitter machine energized by human powered flywheel motor using dimensional analysis

In India, nearly 58% populations directly or indirectly have their livelihood dependent on farming activity and agricultural food processing. Majority of population in India fulfills their nutritional needs from pulses. India is among the major producer and consumer of pulses contributing nearly 28.34% of pulses globally. The percentage of losses in domestic pulses production nearly equal to its import resulting in decline of pulses per capita. The dehusking and splitting of the grain at the pulse mills are the most important post harvest operation which decides the yield & quality of pulses. The losses at post harvest activities are mainly subjected to the power availability at rural area, availability of technology for use of sustainable energy sources, availability of processing units in reach of farmers and continuous research in post harvesting methods &and techniques & it’s practical viability. The human powered flywheel motor (HPFM) based, pulse producing machine fulfilling the requirements at rural areas is presented here. In the present paper dimensional methodical approach is discussed to determine the effect of the parameters affecting dehulling efficiency of a developed miniature pulse splitter machine energized by HPFM. A dimensional analytical technique using Buckingham Pi-theorem is used to establish an operating relationship between the dependent variable i.e. dehulling efficiency and independent variables which includes diameter of pulse, bulk density, coefficient of friction, feed rate, speed, emery grade, gap between wheel, humidity & air velocity. The present performance of the split pulse machine is improved to its highest value of 80.5% with the feed rate of 45 kg/hr & at the gap of 5 mm between the wheels. The reading obtained from the mathematical data and experimental observation is in good agreement which indicates the minimum error and validation of the mathematical model. The paper presents the method of formulation of mathematical model with the output variable dehulling efficiency which depends on many input variables for the pulse splitting machine. The formulated model can further be used for the other processing units in the agricultural production.

Formulation of mathematical model using dimensional analysis approach for plastic shredding process through Human powered flywheel Motor (HPFM)

The practical feasibility and productive viability of a Human-powered flywheel machine (HPFM) system having the capacity to produce 3 to 5 Horse Power (H.P) is preferred over motorized machines for rural-based applications. The present work deals to establish precise dimensionless equations for four parameters i.e. Duration of Energy consumption, Quantity of Material Processed/Time, Quality of shredding parts, Process Horse Power (H.P), and Instantaneous Load Torque using the Buckingham Pi-theorem technique for the waste monomer plastic shredding operation using HPFM. The independent and dependent variables affecting the shredding operation have been identified to form the experimental data-based model equations for the above-mentioned response variables. These equations will further help to understand the phenomenon of shredding plastic using HPFM in the rural sector and they will also help in developing the capacity of the machine according to the various requirements. A distinct experimental plan has been established for calculating the kinetic energy of the system and the different variables identified for the process.

A review on the advancement of human powered flywheel motor (HPFM) in India and its application for rural empowerment

The modern world is continuously focusing on a carbon-free atmosphere to improve environmental sustainability. In the last two decades, Human Powered Flywheel Motor has been applied to design numerous rural-based applications. The functional feasibility and economic viability of Pedal-powered process machines of 3 to 5 Horse Power capacity over motorized machines have increased the utility for rural-based applications. The present work deals with the review of various research investigations done on the Human Powered Flywheel Motor system. Further, the conversion of the Human Powered Flywheel Motor into the electromechanical analog circuit and the generation of design data for Human Powered Flywheel Motor through the establishment of generalized experimental data-based models have also been discussed. It is concluded that the Human Powered Flywheel Motor can generate a maximum of 3 to 5 Horse Power, which can be utilized against the various motorized machines in rural applications where intermittent power supply does not affect the end quality of the product.

Concrete Mixer Energized By Human Powered Flywheel Motor (Hpfm): A Concept

World of today is facing the problem of power crisis, because most of the power generation units are running on thermal energy. Those basically need coal for the generation of energy. Since, it is well known fact that, the coal as a natural wealth is depleting day by day and very few sources are remaining where the coal could be found easily. Therefore people are looking for an alternative energy sources. Apart from these energies, the most economical source for the generation of employment is considered to be the human energy. Therefore, the use of human power has great scope particularly in rural and remote areas.

Modeling of Human Power Flywheel Motor through Artificial Neural Network- A Novel Approach

Some of the authors of this paper had already established a pedal operated human powered flywheel motor (HPFM) which justifies the energy requirements for process units. The different types of process units designed and tested so far intestinally suits to rural areas such as brick making machine, Low head water lifting, Wood turning, Wood strips cutting, electricity generation etc. This machine system includes three sub systems namely (i) HPFM (ii) Torsionally Flexible Clutch (TFC) (iii) A Process Unit.ANN modeling has been used to model the experimental findings for human powered flywheel motor. It has been observed that neuron size, transfer function, training function plays important role in performance of the network. The optimal selection of parametric values of each ANN parameter is carried through observation of performance, regression plots. This paper illustrates a unique method of selecting optimal ANN network configuration for fitting function approximation problem. We also found that reliability of the derived ANN model is 97%.

Development and Optimization of Experimental Data based Models for Bamboo Sliver Cutting by using Human Powered Flywheel Motor

Development and Optimization of Experimental Data based Models for Bamboo Sliver Cutting by using Human Powered Flywheel Motor

Formulation of Mathematical Model for Processing Time Required for Bamboo Sliver Cutting Using HPFM

The present work is the formulation of models for sliver cutting from bamboo using human powered flywheel motor (HPFM).It reports the design of experimental work to be executed for establishing approximate generalized empirical model for Resistive Torque, Processing Time &No. of slivers during Bamboo Sliver cutting process using human powered flywheel motor (HPFM) on the basis of experimentation data chosen, using methodology of engineering experimentation. Out of which process for formulation of mathematical model for Processing Time required for Bamboo Sliver cutting process is elaborated completely in this paper.

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

As per geographical survey of India about 65% of hu man population is living in rural areas where urban resources like electricity, employment accessibility, etc are very deprived. Th e country is still combating with fundamental needs of every individual. The country with immense population living in villages ought to have research in the areas which focuses a nd utilizes the available human power. Some Authors of this paper had already devel oped a pedal operated human powered flywheel motor (HPFM) as an energy source for process units. The various process units tried so far are mostly rural based such as brick making machine (both rectangular and keyed cross sectioned), Low head wa ter lifting, Wood turning, Wood strips cutting, ele ctricity generation etc. This machine system comprises three sub systems namely ( i) HPFM (ii) Torsionally Flexible Clutch (TFC) (ii i) A Process Unit. Because of utilization of human power as a source of energy, tunits have to face energy fluctuation du ring its supply. To evaporate this rise and fall effect of the energy, the concept of use of HPFM was introduced. During its operati on it had been observed that the productivity has great affection toward the rider a nd producing enormous effect on quality and quantit y of the product. This document takes a step ahead towards the development of a con troller which will reduce system differences in the productivity. This paper contributes in development of optimal model through artificial neural network which enables to predict experimental results accurately for seen and unseen data. The paper eval uates ANN modeling technique on HPFM by alteration of various training parameters and selection of most excellent value of that parameter. The mathematical model of which th en could be utilized in design of a physical controller.

Optimization of Artificial Neural Network Model for improvement of Artificial Intelligence of Manually Driven Brick Making Machine Powered by HPFM

Considerable development has been done by some authors of this paper towards development of manufacturing process units energized by Human Powered Flywheel Motor (HPFM) as an energy source. This machine system comprises three sub systems namely (i) HPFM (ii) Torsionally Flexible Clutch (TFC) (iii) A Process Unit. Process unit so far tried are mostly rural based such as brick making machine (both rectangular and keyed cross sectioned), Low head water lifting, Wood turning, Wood strips cutting, etc HPFM comprises pedalling system similar to bicycle, a speed rising gear pair and a flywheel big enough such that a young lad of 21-25 years, 165cm height, slim structure can pump energy around 30,000 N-m in minutes time. Once such an energy is stored peddling is stopped and a special type of TFC is engaged which very efficiently brings about momentum and energy transfer from flywheel to a process unit. Process unit utilization time upon clutch engagement is 5 to 15 seconds depending on the application. In other word process units needing power of order of 3 hp to 10 hp can be powered by such a machine concept. Experimental data base model is formulated for Human Powered Flywheel Motor Energized Brick Making Machine (HPFMEBMM). The focus of the present paper is on development of an optimum Artificial Neural Network (ANN) model which will predict the experimental evidences accurately and precisely. The optimisation is acknowledged though variation of various parameters of ANN topology like training algorithm, learning algorithm, size of hidden layer, number of hidden layers, etc while training the network and accepting the best value of that parameter. The paper also discusses the effects and results of variation of various parameters on prediction of network.

Establishing empirical relationship to predict the chaff cutting phenomenon energized by human powered flywheel motor (hpfm)

In India animal husbandry is an integral part of the rural economy. Almost every rural family keeps at least a cow or buffalo for meeting milk requirement and to earn some money for daily expenses. The milk production is greatly affected by feeding to the cattle. However most of cattle feeding are provided in the form of whole crop. It may leads to wastage of feeding. It was noted that there is always feeding fodder scarcity in summer. In such situation the whole crop is to be cut into small pieces so that fodder can be used effectively. Presently fodder cutting machines are electric driven as well as hand operated. But today there is huge shortage of electricity almost every parts of India. To overcome uncertainly of electricity, we can replace electrically driven motor by human powered flywheel motor. The chaff cutter energized by human powered flywheel motor is suitable for marginal farmer who have 2-3 cattle. The experimentation carried out for establishing empirical model for identified variables affecting cutting of crop resides.

CAD based modeling of flywheel motor with multiple operator

The Human powered flywheel motor (HPFM) is the integral part of the various manually energized machines such as brick making machine, chaff cutter, pedal operated flour mill etc .Since its invention continuous efforts are being made for its optimization with objective of the efficient energy utilization of human energy. In an attempt this paper presents the development of flywheel motor for multiple rider as till now only single rider system is developed. Further the CAD modeling of this system is developed by using the CAD software SOLID EGDE. Keywords - CAD modeling, HPFM, Solid edge.