Showing 4 results for Phate
Mangesh Phate, Pratik Gaikwad,
Volume 29, Issue 4 (IJIEPR 2018)
Abstract
In the present work, the biodynamic response behavior of seated human body subject to vibration in vertical direction have been extensively examined. The biodynamic response parameter of seated human body have been analyzed in terms of apparent masss (AM).The AM describe “to –the -body”force motion relationship at the interface of huma and seat. The present work proposed the six degrees of freedom (6-DOF) analytic biodynamic model of the seated human posture with the backrest in the vertical vibration direction to study the biodynamic response of various mass, stiffness and the damping coefficient. Field test were carried out using a TATA Nanocar to verify the vibrational comfort. The tests were carried out on different surface and the at different speed using Fast fourier transform (FFT) analyuzer. Acceleration were measured on both seat and head and the related calculation were done using MATLAB. This paper will help to analyze and provide the vibrational comfort to the car driver and the passangers on different road conditions.
Mangesh Phate, Shraddha Toney, Vikas Phate,
Volume 30, Issue 1 (IJIEPR 2019)
Abstract
In the Wire EDM of oil hardening die steel materials is a complicated machining process. Hence to find out the best set of process parameters is an important step in wire EDM process. Multi-response optimization of machining parameters was done by using analysis called desirability function analysis coupled with the dimensional analysis approach. In the present work, based on Taguchi’s L27 orthogonal array, number experiments were conducted for OHNS material. The WEDM process parameters such as, pulse on time , pulse off time, input current, wire feed rate and the servo voltage are optimized by multi-response considerations such as material removal rate and surface roughness. Based on desirability analysis, the most favorable levels of parameters have been known. The significant contribution of parameters is determined by dimensional analysis. The experimental results show that the results obtain by using DA approach has a good agreement with the measured responses. The correlation up to 99% has been achieved between the developed model and the measured responses by using dimensional analysis approach.
In the Wire EDM of oil hardening die steel materials is a complicated machining process. Hence to find out the best set of process parameters is an important step in the wire EDM process. Multi-response optimization of machining parameters was done by using analysis called desirability function analysis coupled with the dimensional analysis approach. In the present work, based on Taguchi’s L27 orthogonal array, number experiments were conducted for OHNS material. The WEDM process parameters such as pulse on time, pulse off time, input current, wire feed rate, and the servo voltage are optimized by multi-response considerations such as material removal rate and surface roughness. Based on desirability analysis, the most favorable levels of parameters have been known. The significant contribution of parameters is determined by dimensional analysis. The experimental results show that the results obtain by using DA approach has a good agreement with the measured responses. The correlation up to 99% has been achieved between the developed model and the measured responses by using dimensional analysis approach.
Mangesh Phate, Shraddha Toney, Vikas Phate,
Volume 31, Issue 2 (IJIEPR 2020)
Abstract
In the present work, a model based on dimensional analysis (DA) coupled with the Taguchi method to analyze the impact of silicon carbide (SiC) has been presented. The wire cut electrical discharge machining (WEDM) performance of aluminium silicon carbide (AlSiC) metal matrix composite (MMC) has been critically examined. To formulate the DA based models, total 18 experiments were conducted using Taguchi’s L18 mixed plan of experimentation. The input data used in the DA models are a pulse on time, pulse off time, wire feed rate, % SiC, wire tension, flushing pressure etc. According to these process parameters, DA models for the surface roughness and the material removal rate was predicted. The formulated DA models have shown a strong correlation with the experimental data. The analysis of variance (ANOVA) has been used to find out the impact of individual parameters on response parameters.
Mangesh Phate , Shraddha Toney, Vikas Phate,
Volume 32, Issue 1 (IJIEPR 2021)
Abstract
Supply chain management (SCM) is very well known efficient and effective managerial tool to check and analyze the performance of any enterprises. In the present work, efforts have taken to analyze and optimize the performance of small & medium enterprise (SME) in Pune region India. For this purpose a SCM based framework is prepared to get the realistic data from the industries through the questionnaire prepared on the basic of literature and the expert opinions. After finalizing the effective framework fitted to the various enterprises, a data in the pointer scale has been collected from the various stakeholders of the enterprises. The grey relational analysis (GRA), a multi-response optimization tool has been effectively used for getting the optimize result which will help the enterprises to plan the strategies for the betterment of the enterprises. Optimum results were implemented in the other enterprises. The responses were measured and compare with the optimum solution. From the responses, it has been observed that there is a significant enhancement in the response level of the other enterprises. Thus the SCM was effectively used for enhancing the performance of the SMEs in the region.
