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Institution

P.E.S. College of Engineering

About: P.E.S. College of Engineering is a based out in . It is known for research contribution in the topics: Surface roughness & Machining. The organization has 425 authors who have published 419 publications receiving 2192 citations.


Papers
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Journal ArticleDOI
30 Nov 1997-Wear
TL;DR: In this article, an attemopt is made to extract maximum information from acoustic emission (AE) signals acquired during machining, and a statistical method, the time series modelling technique, is used to extract parameters called features representing the state of the cutting process.

133 citations

Journal ArticleDOI
TL;DR: In this article, the variation of the performance parameters with machining parameters was mathematically modeled by Regression analysis method and the objective functions were defined as Dimensional Error (DE), Surface Roughness (SR) and Volumetric Material Removal Rate (VMRR).
Abstract: Wire-cut Electro Discharge Machining (WEDM) is a special form of conventional EDM process in which the electrode is a continuously moving conductive wire. The present study aims at determining parametric influence and optimum process parameters of Wire-EDM using Taguchi's technique and a Genetic algorithm. The variation of the performance parameters with machining parameters was mathematically modeled by Regression analysis method. The objective functions are defined as Dimensional Error (DE), Surface Roughness (SR) and Volumetric Material Removal Rate (VMRR). Experiments were designed as per Taguchi's L16 Orthogonal Array (OA) wherein Pulse-on duration, Current, Pulse-off duration, Bed-speed and Flushing rate have been considered as the important input parameters. The matrix experiments were conducted for the material Hot Die Steel (HDS) having the thickness of 40 mm. The Heat Affected Zone (HAZ) characteristics of the eroded materials were assessed by Scanning Electron Microscope (SEM) and the microhard...

72 citations

Journal ArticleDOI
30 Sep 2010
TL;DR: It is observed that Reversible eight-bit Parallel Binary Adder/Subtractor with Design III is efficient compared to Design I, Design II and existing design.
Abstract: In recent years, Reversible Logic is becoming more and more prominent technology having its applications in Low Power CMOS, Quantum Computing, Nanotechnology, and Optical Computing. Reversibility plays an important role when energy efficient computations are considered. In this paper, Reversible eight-bit Parallel Binary Adder/Subtractor with Design I, Design II and Design III are proposed. In all the three design approaches, the full Adder and Subtractors are realized in a single unit as compared to only full Subtractor in the existing design. The performance analysis is verified using number reversible gates, Garbage input/outputs and Quantum Cost. It is observed that Reversible eight-bit Parallel Binary Adder/Subtractor with Design III is efficient compared to Design I, Design II and existing design.

63 citations

Journal ArticleDOI
TL;DR: In this article, short bamboo fiber reinforced epoxy composites were developed with varying fiber content and the void content, density, and weight reduction of these composites was determined, and it was found that void content was decreasing with increasing fiber content.
Abstract: Short bamboo fiber reinforced epoxy composites were developed with varying fiber content. The void content, density, and weight reduction of these composites were determined. The void content of these composites was found to be decreasing with increasing fiber content. The density of these composites was found to be decreasing with fiber content. The percentage weight reduction of these composites from the matrix was found to be increasing linearly. The bamboo fibers, and the epoxy resin system constituted lighter composites.

50 citations

Journal ArticleDOI
TL;DR: In this paper, the authors developed an empirical traffic noise prediction model under interrupted traffic flow conditions using two analytical the approaches, the first being the acceleration lane approach and second being the deceleration approach.
Abstract: The objective of this study is to develop an empirical traffic noise prediction model under interrupted traffic flow conditions using two analytical the approaches, the first being the acceleration lane approach and second being the deceleration approach. The urban road network of Bangalore city has been selected as the study area. Sixteen locations are chosen in major traffic junctions of the study area. The traffic noise data collected from the study locations were analyzed separately for both acceleration and deceleration lanes when vehicles leave an intersection on a green traffic light and come to a stop on red traffic light. Based on the study, a regression noise prediction model has been developed for both acceleration and deceleration lanes.

49 citations


Authors
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20221
202140
202034
201955
201841
201740