DSpace Collection:
http://hdl.handle.net/123456789/566
Thu, 02 Dec 2021 19:55:41 GMT2021-12-02T19:55:41ZSimilarity Solution of Forced Convection Flow of Powell-Eyring & Prandtl-Eyring Fluids by Group-Theoretic Method
http://hdl.handle.net/1/859
Title: Similarity Solution of Forced Convection Flow of Powell-Eyring & Prandtl-Eyring Fluids by Group-Theoretic Method
Authors: SHUKLA, HEMANGINI; PATEL, JAYSHRI; SURATI, HEMA C.; PATEL, MANISHA; TIMOL, M.G
Abstract: Generalized one parameter group theoretical method is applied to
study Powell-Eyring and Prandtl-Eyring fluid models for heat transfer in forced
convection boundary layer flow. The velocity and the temperature variations
for two dimensional steady incompressible, laminar forced convection ﬂow
of both fluid modelspast a flat plate is considered. Velocity and temperature
variation for different values offluid index and physical parameter A,B,α,β
and Pr are presented graphically. Also, comparison for both fluid models is
done graphically.Sun, 05 Mar 2017 00:00:00 GMThttp://hdl.handle.net/1/8592017-03-05T00:00:00ZExponential Weighted Moving Average (EWMA) Chart Under The Assumption of Moderateness And Its 3Δ Control Limits
http://hdl.handle.net/1/858
Title: Exponential Weighted Moving Average (EWMA) Chart Under The Assumption of Moderateness And Its 3Δ Control Limits
Authors: TAILOR, KALPESH S
Abstract: Moderate distribution is a very good alternative of normal distribution
proposed by Naik V.D and Desai J.M. [4], which has mean deviation as scale
parameter rather than the standard deviation. Mean deviation (δ) is a very good
alternative of standard deviation (σ) as mean deviation is considered to be the
most intuitively and rationally defined measure of dispersion. This fact can be
very useful in the field of quality control to construct the control limits of the
control charts. On the basis of this fact Naik V.D. and Tailor K.S. [5] have
proposed 3δ control limits. In 3δ control limits, the upper and lower control
limits are set at 3δ distance from the central line where δ is the mean deviation
of sampling distribution of the statistic being used for constructing the control
chart. In this paper it has been assumed that the underlying distribution of the
variable of interest follows moderate distribution proposed by Naik V.D and
Desai J.M. [4] and 3δ control limits of exponential weighted moving average
chart are derived. Also an empirical study is carried out to illustrate the use
these charts.Sun, 05 Mar 2017 00:00:00 GMThttp://hdl.handle.net/1/8582017-03-05T00:00:00ZVariance Estimation Using Quality Characteristic
http://hdl.handle.net/1/857
Title: Variance Estimation Using Quality Characteristic
Authors: MISHRA, PRABHAKAR; SINGH, RAJESH
Abstract: This paper deals with estimation of unknown population variance
of study variable (y) using auxiliary qualitative characteristic. The properties
of the proposed class of estimators is studied and is supported through two real
data sets.Sun, 05 Mar 2017 00:00:00 GMThttp://hdl.handle.net/1/8572017-03-05T00:00:00ZStochastic Reliability Analysis of Two Identical Cold Standby Units with Geometric Failure & Repair Rates
http://hdl.handle.net/1/856
Title: Stochastic Reliability Analysis of Two Identical Cold Standby Units with Geometric Failure & Repair Rates
Authors: BHARDWAJ, NITIN; PARASHAR, BHUPENDER
Abstract: The present paper is based on the analysis of an two identical unit
system wherein initially one unit is in operative state and other is in cold
standby and total failure of the unit is via partial failure mode. Single repairman
is always available with the system for any repair of failed unit (partially/
completely). Failure/repair time is considered to be a Geometric distribution.
Measures of system effectiveness had also been calculated for the system.Sun, 05 Mar 2017 00:00:00 GMThttp://hdl.handle.net/1/8562017-03-05T00:00:00Z