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Dambhare S.G.,PVPIT | Deshmukh S.J.,PRMITR | Borade A.B.,J.D.I.E.T.
International Journal of Industrial Engineering Computations | Year: 2015

There is an increase in awareness about sustainable manufacturing process. Manufacturing industries are backbone of a country’s economy. Although it is important but there is a great concern about consumption of resources and waste creation. The primary aim of this study was to explore sustainability concern in turning process in an Indian machining industry. The effect of cutting parameters, Speed/Feed/Depth of Cut, the machining environment, Dry/MQL/Wet, and the type of cutting tool on sustainability factors under study were observed. Analysis of Variance (ANOVA) was used to analyse the data obtained from experimentation in a small scale machining industry. The process is modelled mathematically using response surface methodology (RSM).The economic and environmental aspect like surface roughness, material removal rate and energy consumption were considered as sustainability factors. The model helps to understand the effect of the cutting parameters and conditions on surface finish, energy consumption, and material removal rate. The process was optimized for minimum power consumption considering environmental concern as prime importance. Studies suggest that the cutting environment and tool type influenced on the power consumption during turning process. Extended form of the proposed model could be useful to predict the environmental impact due to machining process, which would bring environmental concern into conventional machining. © 2015 Growing Science Ltd. All rights reserved Source


Dambhare S.,Sant Gadge Baba Amravati University | Deshmukh S.,PRMITR | Borade A.,J.D.I.E.T. | Digalwar A.,BITS | Phate M.,PVPIT
Procedia CIRP | Year: 2015

Manufacturing industries are crucial in a country's economy. However, they accounts for huge resource consumption of and waste excretion. The objective of this study was to investigate sustainability issues pertinent to turning process in a Indian machining industry. Parameters such as surface roughness, material removal rate and energy consumption were considered as sustainability factors. The effect of process parameters (speed/feed/depth of cut), the machining environment (dry/MQL/wet) and the type of cutting tool on the response was observed. Analysis of Variance (ANOVA) was applied to test the data. The process was analysed using response surface methodology (RSM). The results of the study helped to understand the effect of the cutting parameters on surface finish, energy consumption, and material removal rate. The process was optimized from power consumption point of view. Extended form of the model could be useful to predict the environmental impact of machining process which will bring environmental concern into conventional machining. © 2015 Elsevier B.V. This is an open access article under the CC BY-NC-ND license. Source


Dambhare S.,PVPIT | Aphale S.,Mechanical Engineering | Kakade K.,Mechanical Engineering | Thote T.,Mechanical Engineering | Borade A.,J.D.I.E.T.
Journal of Quality and Reliability Engineering | Year: 2013

Six Sigma is one of the popular methodologies used by the companies to improve the quality and productivity. It uses a detailed analysis of the process to determine the causes of the problem and proposes a successful improvement. Various approaches are adopted while following Six Sigma methodologies and one of them is DMAIC. The successful implementation of DMAIC and FTA is discussed in this paper. In this study, the major problem was of continuous rework up to 16%, which was leading to wastage of man hours and labor cost. Initially, fault tree analysis (FTA) was used to detect the key process input variables (KPIVs) affecting the output. Multivariable regression analysis was performed to know the possible relationship between the KPIVs and the output. The DMAIC methodology was successfully implemented to reduce the rework from 16% bores per month to 2.20% bores per month. The other problem of nonuniform step bores was also reduced significantly. © 2013 Sunil Dambhare et al. Source


Gadgune S.Y.,PVPIT | Jadhav P.T.,PVPIT | Chaudhary L.R.,Innova Rubbers Ltd. | Waware M.M.,WCE
Proceedings of 2015 IEEE International Conference on Electrical, Computer and Communication Technologies, ICECCT 2015 | Year: 2015

In this paper five level Diode clamped and Cascaded H-bridge multilevel inverter based shunt APF is presented. Traditional two level Shunt APF has disadvantage that its switching frequency is very high causing high switching losses. Also voltage stress on each switch is high equal to grid voltage. Multilevel inverters (MLI) have advantage of they can operate on low switching frequency; so switching losses are low. The dv/dt stress on each device is very low. Also, in high voltage system high rating transformer is required with APF which causes high cost and bulky system. But application of multilevel inverter in active filters effectively reduces harmonics in high voltage system without use of transformer. The reference compensating currents are generated using Instantaneous Reactive Power Theory (P-Q Theory). Sinusoidal pulse width modulation scheme is implemented to generate switching signals. Simulation results shows effectiveness of the multilevel inverters. © 2015 IEEE. Source


Gade S.S.,ADCET | Shendage S.B.,PVPIT | Uplane M.D.,Shivaji University
ITC 2010 - 2010 International Conference on Recent Trends in Information, Telecommunication, and Computing | Year: 2010

This paper presents the development of an on-line version of a new auto-tuning algorithm for proportional-integral - derivative (PID) controllers based on the successive approximation method. The new auto tuner causes only minor perturbation on the normal operation of the process, needs little a prior information, and is robust to noise. The performance and design for automatic selection of the PID constants are also discussed. The accuracy and performance of this new auto-tuning method have been substantiated by extensive lab works. © 2010 IEEE. Source

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