Mechanical Efficiency of Planetary Gear Trains: An Estimate

Similar documents
Modified Ratio Estimators Using Known Median and Co-Efficent of Kurtosis

Estimation of Population Mean Using Co-Efficient of Variation and Median of an Auxiliary Variable

Section 5.1 The Basics of Counting

Algorithm Analysis. Chapter 3

62. Power series Definition 16. (Power series) Given a sequence {c n }, the series. c n x n = c 0 + c 1 x + c 2 x 2 + c 3 x 3 +

Recursive Algorithm for Generating Partitions of an Integer. 1 Preliminary

Comparison Study of Series Approximation. and Convergence between Chebyshev. and Legendre Series

TR/46 OCTOBER THE ZEROS OF PARTIAL SUMS OF A MACLAURIN EXPANSION A. TALBOT

Multilayer perceptrons

Spectral Partitioning in the Planted Partition Model

Properties and Hypothesis Testing

Dr. Radhakant Padhi Asst. Professor Dept. of Aerospace Engineering Indian Institute of Science - Bangalore

THE SYSTEMATIC AND THE RANDOM. ERRORS - DUE TO ELEMENT TOLERANCES OF ELECTRICAL NETWORKS

Chapter 7 COMBINATIONS AND PERMUTATIONS. where we have the specific formula for the binomial coefficients:

Sequences A sequence of numbers is a function whose domain is the positive integers. We can see that the sequence

Chapter 1 : Combinatorial Analysis

Reliability and Queueing

Proof of Fermat s Last Theorem by Algebra Identities and Linear Algebra

A Block Cipher Using Linear Congruences

Optimization Methods: Linear Programming Applications Assignment Problem 1. Module 4 Lecture Notes 3. Assignment Problem

6.003 Homework #3 Solutions

Infinite Sequences and Series

EE260: Digital Design, Spring n MUX Gate n Rudimentary functions n Binary Decoders. n Binary Encoders n Priority Encoders

CALCULATING FIBONACCI VECTORS

Chapter 13, Part A Analysis of Variance and Experimental Design

POWER SERIES SOLUTION OF FIRST ORDER MATRIX DIFFERENTIAL EQUATIONS

Anna Janicka Mathematical Statistics 2018/2019 Lecture 1, Parts 1 & 2

Chapter 1. Complex Numbers. Dr. Pulak Sahoo

Module 18 Discrete Time Signals and Z-Transforms Objective: Introduction : Description: Discrete Time Signal representation

Adjacent vertex distinguishing total coloring of tensor product of graphs

Information-based Feature Selection

(a) (b) All real numbers. (c) All real numbers. (d) None. to show the. (a) 3. (b) [ 7, 1) (c) ( 7, 1) (d) At x = 7. (a) (b)

Commutativity in Permutation Groups

P1 Chapter 8 :: Binomial Expansion

Sequence A sequence is a function whose domain of definition is the set of natural numbers.

Algorithm of Superposition of Boolean Functions Given with Truth Vectors

Similarity Solutions to Unsteady Pseudoplastic. Flow Near a Moving Wall

COMPARISON OF FPGA IMPLEMENTATION OF THE MOD M REDUCTION

ECE 8527: Introduction to Machine Learning and Pattern Recognition Midterm # 1. Vaishali Amin Fall, 2015

MA131 - Analysis 1. Workbook 2 Sequences I

ECE-S352 Introduction to Digital Signal Processing Lecture 3A Direct Solution of Difference Equations

ELE B7 Power Systems Engineering. Symmetrical Components

Signal Processing in Mechatronics. Lecture 3, Convolution, Fourier Series and Fourier Transform

Investigating the Significance of a Correlation Coefficient using Jackknife Estimates

Improved Class of Ratio -Cum- Product Estimators of Finite Population Mean in two Phase Sampling

Chapter 10: Power Series

Absolutely Harmonious Labeling of Graphs

DIGITAL FILTER ORDER REDUCTION

Principle Of Superposition

SOME TRIBONACCI IDENTITIES

Chapter Vectors

3.1 Counting Principles

A Recurrence Formula for Packing Hyper-Spheres

GLOBAL JOURNAL OF ENGINEERING SCIENCE AND RESEARCHES

MTH Assignment 1 : Real Numbers, Sequences

Stochastic Matrices in a Finite Field

c. Explain the basic Newsvendor model. Why is it useful for SC models? e. What additional research do you believe will be helpful in this area?

PAijpam.eu IRREGULAR SET COLORINGS OF GRAPHS

Largest families without an r-fork

Lecture 2 Clustering Part II

Estimation of the Population Mean in Presence of Non-Response

A sequence of numbers is a function whose domain is the positive integers. We can see that the sequence

Reliability Measures of a Series System with Weibull Failure Laws

Discrete-Time Systems, LTI Systems, and Discrete-Time Convolution

A NEW APPROACH TO SOLVE AN UNBALANCED ASSIGNMENT PROBLEM

Roger Apéry's proof that zeta(3) is irrational

Math 778S Spectral Graph Theory Handout #3: Eigenvalues of Adjacency Matrix

PAijpam.eu ON TENSOR PRODUCT DECOMPOSITION

Module 5 EMBEDDED WAVELET CODING. Version 2 ECE IIT, Kharagpur

Warped, Chirp Z-Transform: Radar Signal Processing

The Mathematical Model and the Simulation Modelling Algoritm of the Multitiered Mechanical System

Lecture 10: Mathematical Preliminaries

Math 113 Exam 3 Practice

Numerical Simulation of Thermomechanical Problems in Applied Mechanics: Application to Solidification Problem

EDGE AND SECANT IDEALS OF SHARED-VERTEX GRAPHS

CS 270 Algorithms. Oliver Kullmann. Growth of Functions. Divide-and- Conquer Min-Max- Problem. Tutorial. Reading from CLRS for week 2

~W I F

U8L1: Sec Equations of Lines in R 2

Appendix: The Laplace Transform

SOLID MECHANICS TUTORIAL BALANCING OF RECIPROCATING MACHINERY

Assignment 1 : Real Numbers, Sequences. for n 1. Show that (x n ) converges. Further, by observing that x n+2 + x n+1

Some New Iterative Methods for Solving Nonlinear Equations

SYSTEMATIC SAMPLING FOR NON-LINEAR TREND IN MILK YIELD DATA

Disjoint Systems. Abstract

The Random Walk For Dummies

MAT1026 Calculus II Basic Convergence Tests for Series

FACULTY OF MATHEMATICAL STUDIES MATHEMATICS FOR PART I ENGINEERING. Lectures

Basics of Probability Theory (for Theory of Computation courses)

As stated by Laplace, Probability is common sense reduced to calculation.

Lecture Overview. 2 Permutations and Combinations. n(n 1) (n (k 1)) = n(n 1) (n k + 1) =

Improved Ratio Estimators of Population Mean In Adaptive Cluster Sampling

7. Modern Techniques. Data Encryption Standard (DES)

CALCULATION OF FIBONACCI VECTORS

Best Optimal Stable Matching

Using An Accelerating Method With The Trapezoidal And Mid-Point Rules To Evaluate The Double Integrals With Continuous Integrands Numerically

Math 475, Problem Set #12: Answers

To the use of Sellmeier formula

3. Z Transform. Recall that the Fourier transform (FT) of a DT signal xn [ ] is ( ) [ ] = In order for the FT to exist in the finite magnitude sense,

CEE 522 Autumn Uncertainty Concepts for Geotechnical Engineering

BACKMIXING IN SCREW EXTRUDERS

Transcription:

Mechaical Efficiecy of Plaetary Gear Trais: A Estimate Dr. A. Sriath Professor, Dept. of Mechaical Egieerig K L Uiversity, A.P, Idia E-mail: sriath_me@klce.ac.i G. Yedukodalu Assistat Professor, Dept. of Mechaical Egieerig K L Uiversity, A.P, Idia E-mail: yedukodalu@kluiversity.i Dr. A. Jagadeesh Group Director, GD Rugta College Kohka Kurud Road, Bhilai, Chhattisgarh, Idia E-mail: jagadeesh.ae@gmail.com Received: November 20, 2011 Accepted: November 29, 2011 Published: December 31, 2011 doi:10.5539/mer.v11p97 URL: http://dx.doi.org/10.5539/mer.v11p97 Abstract I this paper a easy method is preseted to estimate the mechaical efficiecy of a gear-trai-whe the umber of teeth o gear wheels is specified. Also, the ifluece of the structure is icluded i estimatig the efficiecy. This helps i comparig the gear trais for mechaical efficiecy. Keywords: Gear Trais, Mechaical efficiecy, Graph theory, Trasmissio, Frictio 1. Itroductio Methods for geeratig distict plaetary gear trais with the specified elemets or gear pairs are available (F. Buchsbaum & F. Freudestei, 1970; R. Ravisaker & T. S. Mruthyujaya, 1985; L. W. Tsai, 1989; C. H. Hsu & J. J. Hsu, 1997). Also, some methods are available to estimate umber of the trasmissio efficiecy of gear trais. These methods are mathematically more rigorous ad do ot lead to a quick estimate. I the preset paper a semi-empirical method is proposed to estimate the mechaical efficiecy of a plaetary gear trai. The mechaical efficiecy ot oly depeds upo the size of the gear wheels but also o their relative arragemet i.e., structure. This aspect is also cosidered. This method gives reasoably good results. The structure of a gear trai is best represeted by a graph ad hece the use of graphs is explaied. 2. Method Assumig that there is o power loss at bearigs ad the etire power loss is due to gear pairs oly, the efficiecy of a simple gear trai ca be expressed by the relatio (M.F. Spotts),. f ( N E 1 N N 1 N 2 ) Where, E is the mechaical efficiecy of a gear pair, f is the coefficiet of frictio, N 1 ad N 2 are the umber of teeth o the matig wheels. As per (J. E. Shigley, Miscke, 2003), the eq. (1) is a excellet approximatio. From eq. (1) it is devious that the efficiecy of a gear pair is maximum whe N 1 = N 2, I other words, great variatio i the umber of teeth leads a great reductio i the trasmissio efficiecy. Eq. (1) is useful i estimatig the trasmissio efficiecy of every gear pair i a gear trai. I order to estimate the 1 2 (1) Published by Caadia Ceter of Sciece ad Educatio 97

trasmissio efficiecy of a gear trai as a whole, i which the gear pairs are arraged differetly i.e structure of a trai, the followig approach that uses graph theory is proposed. 3. Graph Represetatio of Gear-Trais A graph cosists of vertices ad edges. A vertex is represeted by a small circle while a edge is represeted by a lie joiig the vertices. A elemet of a gear trai such as a gear wheel or a carrier is represeted by a vertex of a graph while the joits betwee various elemets of a gear trai area represeted by edges. I gear trais, we have two types of pairs (i) turig pairs ad (ii) gear pairs. I order to differetiate the turig ad gear pairs, turig pair edges are represeted by a sigle lie edge while a gear pair is represeted by a double lie edge. For example the gear trais show schematically i figure.1 (a) is represeted by the graph, figure. 1(b), N 2 ad N 3, the umber of teeth are show i both the figures 1 (a & b). The efficiecy E ij of each gear pair (i - j) with specified umber of teeth ca be estimated usig eq.(1) ad the same ca be show ear the gear pair, figure 1 example, E 23, 4. Applicatio to Gear Trais The simple gear trai figure.1 has three elemets or three vertices. Next group of gear trais cosist of four vertices or two gear pairs. There are oly two distict gear trais with four elemets. They ad their graphs are show i figures 2 ad 3. Kowig the teeth umbers of gear wheels the efficiecy of each gear pair (2-3) ad (2-4) i case of figure. 2 ad gear pairs (1-3) ad (2-4) i figure. 3 ca be determied usig eq. (1). The resultig efficiecies E 23, E 24 etc. are show o the graphs, figures 2 & 3. Figure 2. Gear Trai cosistig of 4 elemets-first Type Figure 3. Gear Trai cosistig of 4 elemets-secod Type 5. Efficiecy Estimate Efficiecy of a system with compoets havig efficiecy E 1, E 2 etc. will deped upo the structural arragemets i.e. whether the compoets are (i) i series (ii) i parallel or (iii) mixed. The estimate of the system efficiecy is explaied below. (i) Efficiecy of a series system: 98 ISSN 1927-0607 E-ISSN 1927-0615

Figure 4. Arragemet of Efficiecies i a Series system Figure 4 shows compoets with efficiecies E 1, E 2 etc. arraged i series. It ca easily be derived that the overall efficiecy E or the system is equal to the product of the compoet efficiecies, i.e., E= E 1.E 2 E = (2) i = 1 (ii) Efficiecy of a parallel system: Figure 5 shows -compoets with efficiecies E 1, E 2 etc. arraged parallely. Figure 5. Arragemet of Efficiecies i a Parallel system The compoets i parallel will share the iput power ad let the power i differet compoets be P 1, P 2 etc. The, the output from each compoets will be E 1 P 1, E 2 P 2 etc. so that P 0 the output power ca be expressed as follows, Where P EP. 0 i i i 1 i i P0 i 1 E, the system Efficiecy = (3) Pi Pi Whe greater part of the iput power flows through the compoets of higher efficiecy resultig efficiecy E of the system will be high ad vice-versa. O the other had if the iput power is shared equally amog all the compoets, E P 1 E E i, (4) For the efficiecy values of gear pairs which are high i practice, the system efficiecy is ot very much sesitive to the power sharig amog differet circuits or gear pairs. Hece the system efficiecy ca be take approximately equal to the average of the compoet efficiecies, eq. (4). (iii) Mixed System: I a mixed system, the combied efficiecy of the compoets i series ca be pairs such as (2-3) ad (2-4) i figure i 1 Published by Caadia Ceter of Sciece ad Educatio 99

2 should be take i series so that their combied efficiecy is (E 23, E 24 ). Gear pairs (1-3) ad (2-4) i Figure.3 are to be cosidered i parallel. Notig the remarks made i the estimate of efficiecy of a parallel system their combied efficiecy will be 1/2 (E 13 + E 24 ). Now, let us cosider some gear trais with five elemets (vertices) i.e. gear trais with three gear pairs. Simplest amog them is show i figure 6. The compoet efficiecy of the gear trai will be as give below. Figure 6. Gear trais with 5 elemets First Type E =E 23.E 24. E 35 (5) For compariso, aother gear trai with a mixed arragemet i.e., both parallel ad series, of gear wheels is show i figure 7 the schematic diagram is show i figure 7a while the correspodig graph is show i figure 7b. Figure 7 gear trais with five elemets Secod Type As suggested earlier, the gears 2, 3 ad 4 are cosidered i series so that their E 23, E 24. Now, the combied system of gear pairs (4-2-3) should be ½( E 15 + E 23.E 24 )j (6) For a clear uderstadig let us cosider gear trais with 6-elemets or four gear pairs Figure 8 shows the graphs of such gear trais. With the uderstadig we have from the previous examples oe ca see, figure 8(b), that the gear pairs (2-3) ad (2-4) are i series ad so is the case with gear pairs (1-5) ad (5-6). The assembly of the wheels (4-2-3) is the cosidered to be parallel with the assembly of the wheels (1-5-6). Now the efficiecy of the gear trai ca be writte directly. 100 ISSN 1927-0607 E-ISSN 1927-0615

Figure 8 Gear trais with 6 elemets-first Type E= ½ [(E 23.E 24 ) + (E 15.E 56 )] (7a) For the gear trai, figure 8a, the efficiecy E=1/2 [(E 15 + E 23.E 24.E 36 )] As a last example let us cosider aother gear trai which is slightly complicated, figure 9 (a & b) (7b) Figure 9. Gear trais with 6 elemets-secod Type Cosider the cluster of the gear pairs (2-3), (2-4) ad (2-6). The above arragemet suggests that of the three gear pairs, if pairs (2-3) ad (2-4) are cosidered i series the the pair (2-6) is parallel to the. Similarly, the pair (2-3) ad (2-6) ca be cosidered i series while the third pair (2-4) is i parallel with them. I geeral, ay two pairs ca be take i series while the third pair is i parallel with them. The efficiecies of all the possible combiatios are give below. Case (i) Pairs (2-3) ad (2-4) are i series ad pair (2-6) is i parallel. The Ec = The efficiecy of the cluster of gear wheels 2, 3, 4 ad 6 =1/2 (E 23.E 24 +E 26 ) (8) Case (ii) Gear Pairs (2-3) ad (2-6) are i series ad pair (2-4) is i parallel. The Ec = ½(E 23.E 26 +E 26 ), (9) Case (iii): Pairs (2-4) ad (2-6) are i series ad the pair (2-3) is i parallel. The Ec=1/2(E 24.E 26 +E 23 )j (10) I such a case it is safer to take the lowest value of the above three efficiecies, eq.(8-10) ad let this be E mi. Now, the et efficiecy of the gear trai =E=1/2(E mi +E 15 ) Published by Caadia Ceter of Sciece ad Educatio 101

6. Coclusios Assigmet of equal efficiecies to all the gear pairs eables the compariso of distict structures. For example structure figure. 3 is better tha figure. 2. Similarly, the gear trai, figure.7 is superior to figure.6. Specifyig the umber of teeth o the gear wheels eables estimatio of the aticipated efficiecy of the gear trai. I gear trais with equal umber of gear pairs, the gear trais with parallely arraged pairs are more efficiet. Parallely arraged serial pairs, figure.8(b), appear to be iferior to the arragemet i which more pairs arraged i series which i tur are parallel with the remaiig gear pairs (ot i series), figure.8(a). Gear trais with a cluster of wheels figure.9 is better tha the trais figure.8. Refereces C. H. Hsu, & J. J. Hsu. (1997). A efficiet methodology for the structural sythesis of geared kiematic chais. Mech. Mach. Theory, 1997, vol. 32, pp. 957-973. http://dx.doi.org/10.1016/s0094-114x(96)00081-x F. Buchsbaum, & F. Freudestei. (1970). Sythesis of kiematic structure of geared kiematic chais ad other mechaisms. J. Mechaisms,vol. 5, pp. (357-392). http://dx.doi.org/doi:10.1016/0022-2569(70)90068-6 J. E. Shigley, Miscke. (2003). Mechaical Egieerig Desig (SI Uits), Sixth editio, Tata Mc Graw Hill, p. 870. L. W. Tsai. (1989). O the Coceptual Desig of a Novel Class of Robot Cofiguratios, Tras ASME J. Mech. Tras. Auto. Desig, vol. 109, pp. 329-336. http://dx.doi.org/10.1115/1.3258798 M. F. Spotts. Mechaical Desig Aalysis, Pretice-Hall, Eagle wood cliffs, NJ, pp. 187-188. R. Ravisaker, & T. S. Mruthyujaya. (1985). Computerized sythesis of the structure of geared kiematic chais. Mech. Mach. Theory, vol. 20, pp. 367-387. http://dx.doi.org/10.1016/0094-114x(85)90042-4 102 ISSN 1927-0607 E-ISSN 1927-0615