Formulation of a generalized experimental model for a manually driven flywheel motor and its optimization

Modak, J. P.; Bapat, A.R.

doi:10.1016/0003-6870(94)90075-2

Cited by 19 publications

(9 citation statements)

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“…This relationship would be known as the mathematical model for optimizing the tool life in casting machining operation. It is well known that such a model for optimizing the tool life in casting machining operation cannot be formulated applying logic Modak et al(1994). The only option with which one is left is to formulate an experimental data based model, Hilbert Sc.…”

Section: Need For Formulating Generalized Experimental Data Based Modelsmentioning

confidence: 99%

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Formulation of Mathematical Model for the Investigation of Tool Wears in Boring Machining Operation on Cast Iron Using Carbide and CBN Tools

Kadu

Awari²,

Sakhale³

et al. 2014

Procedia Materials Science

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Gray Cast Iron Casting (GCIC) materials are widely used particularly in automotive industries. However, the high cost of processing these materials limits the use of their improved mechanical properties. Tool life is one of the most important factors in machining operations of such materials and it is mainly affected by cutting conditions including the cutting speed, depth of cut, insert material and cooling environment along with length and diameter of the tool body. In addition, the modern industry is moving towards automating the manufacturing processes. Therefore, tool life monitoring is important to achieve an efficient manufacturing process. In this study, a tool wear prediction model during the boring machining operation of gray cast iron is studied. It is based on the monitoring of tool performance in controlled machining tests with measurements of tool life, surface finish, bore size variation, cutting time and load on spindle in terms of % current under different combinations of cutting parameters (cutting speed, depth of cut, tool nose radius, length & diameter of tool, tool material and coolant pressure & concentration). The influence of cutting parameters on the tool life was studied experimentally by performing more than 120 cutting tests. A prediction model was then developed to predict tool wear. The basic steps used in generating the model adopted in the development of the prediction model are: collection of data; analysis, pre-processing and feature extraction of the data, design of the prediction model, training of the model and finally testing the model to validate the results and its ability to predict tool wear. The evolution of boring machining operation properties using different parameters is a complex phenomenon. There are many factors (like cutting speed, depth of cut, insert material and cooling environment along with length and diameter of the tool bodyaffecting the performance of cast iron boring machining operation resulting to poor tool life. This paper presents an experimental investigations and Sequential classical experimentation technique has been used to perform experiments for various independent parameters. An attempt of mini-max principle has been made to optimize the range bound process parameters for minimizing cutting time and surface finish during cast iron boring machining operation. The test results proved that cutting time and surface finish were significantly influenced by changing important four dimensionless π terms. The process parameters grouped in π terms were suggested the effective guidelines to the manufacturer for improving tool life by changing any one or all from theavailable process parameters.

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Section: Need For Formulating Generalized Experimental Data Based Modelsmentioning

confidence: 99%

“…A combination of the levels of parameters, which lead to maximum, minimum and optimum response, can also be located through this approach. Regression equation models of tool life were optimized by mini-max principle, Modak et al (1994).…”

Section: Design Of Experimentsmentioning

confidence: 99%

Formulation of Mathematical Model for the Investigation of Tool Wears in Boring Machining Operation on Cast Iron Using Carbide and CBN Tools

Kadu

Awari²,

Sakhale³

et al. 2014

Procedia Materials Science

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“…Modak J.P (1985) has established the relationship between the useful torque developed at the crank as function of crank position during its revolution [5]. Modak J.P. also observed that out of 360° rotation of pedal crank, only from 30°-115° of crank position from top dead center is useful.…”

Section: 1modification In Existing Bicycle Mechanismmentioning

confidence: 99%

“…[5]. Consequently for maximum utilization of operators energy Modak J.P. suggested three modified mechanisms namely Quick return ratio one, Double lever inversion and Elliptical sprocket [5].Based on his mathematical modeling he concluded improvement of 17%,38%, and 18% in human energy utilization for Quick return ratio one, Double lever inversion and Elliptical sprocket respectively. This performance of various bicycle drives then was experimentally verified by Modak J.P. , Chandurkar K. C.…”

Section: 1modification In Existing Bicycle Mechanismmentioning

confidence: 99%

CAD based modeling of flywheel motor with multiple operator

Hatwalne¹

2013

IOSR-JMCE

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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.

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“…3 This correlation is nothing but a Generalized Empirical data-based model as a design tool for such a situation. The Generalized Empirical data-based model for noise is given in Eq.…”

Section: Model Formulationmentioning

confidence: 99%

Experimental and Theoretical Approach to Generalized Empirical Data-based Model of Noise in Ceiling Fan

Bhortake¹,

Kumar²

2016

IJAV

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This study investigates the design of experimental work to be executed for establishing an approximate generalized empirical model for the noise of a ceiling fan on the basis of experimental data and the methodology of engineering experimentation. It includes the design of an experimental setup, the formulation of a generalized empirical databased model, that model's sensitivity analysis, and reliability and optimization for the analysis of ceiling fan noise. The formulation and analysis of the noise model are completely covered in this paper to analyse the impact of various input parameters on the output parameter, i.e. the noise of a ceiling fan.

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Formulation of a generalized experimental model for a manually driven flywheel motor and its optimization

Cited by 19 publications

References 1 publication

Formulation of Mathematical Model for the Investigation of Tool Wears in Boring Machining Operation on Cast Iron Using Carbide and CBN Tools

Formulation of Mathematical Model for the Investigation of Tool Wears in Boring Machining Operation on Cast Iron Using Carbide and CBN Tools

CAD based modeling of flywheel motor with multiple operator

Experimental and Theoretical Approach to Generalized Empirical Data-based Model of Noise in Ceiling Fan

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