Showing papers in "Measurement in 2012"

TL;DR: In this paper, the effects of cutting speed, feed rate, workpiece hardness and depth of cut on surface roughness and cutting force components in the hard turning were experimentally investigated.

TL;DR: In this article, the influence of cutting speed, feed rate and depth of cut on the surface roughness is examined, and the results indicate that the feed rate is the dominant factor affecting surface rougheness, which is minimized when the lowest level of cut is set, while the cutting speed is set to the highest level and the percentage of error all fall within 1% between the predicted values and the experimental values.

TL;DR: In this paper, the impact of cutting parameters such as cutting speed, feed rate and depth of cut with machining force, power, specific cutting force, tool wear and surface roughness on work piece was established by multiple linear regression models.

TL;DR: In this paper, the optimal combination of drilling parameters is chosen using grey relational analysis to improve the quality of the holes drilled, which is based on five different output performance characteristics, namely, thrust force, torque, entry delamination, exit delamination and eccentricity of the hole.

TL;DR: In this paper, a machinability study on flank wear, surface roughness, chip morphology and cutting forces in finish hard turning of AISI 4340 steel using uncoated and multilayer TiN and ZrCN coated carbide inserts at higher cutting speed range.

TL;DR: A multiresolution approach along with an adaptive thresholding is used for the detection of R-peaks and the T wave is detected in the QT segment of digitized electrocardiograph recordings.

TL;DR: In this article, the adaptive neuro-fuzzy inference system (ANFIS) was used to predict the grain yield of irrigated wheat in Abyek town of Ghazvin province, Iran.

TL;DR: In this paper, a hybrid signal processing method that combines spectral kurtosis (SK) with ensemble empirical mode decomposition (EEMD) was developed to diagnose the health of bearing signals.

TL;DR: A novel model for fault diagnosis based on empirical mode decomposition (EMD) and multi-class transductive support vector machine (TSVM) is applied to diagnose the faults of the gear reducer and the experimental results obtain a very high diagnosis accuracy.

TL;DR: In this paper, the authors applied a hybrid multiple-criteria decision-making (MCDM) model to weight the performance evaluation indices for higher education based on the official performance evaluation structure developed by the Taiwan Assessment and Evaluation Association (TWAEA) and to rank 12 private universities listed by the Ministry of Education as a case study.

TL;DR: Analytical results from simulation signal and experimental rotor local rub-impact signal demonstrate that the ELMD approach can be used to overcome the mode mixing of the original LMD method effectively.

TL;DR: In this paper, the effect of cutting parameters on the surface roughness in turning of titanium alloy has been investigated using response surface methodology, and the results revealed that the feed was the most influential factor which affect the surface rouness, while chip formation and SEM analysis are discussed to enhance the supportive surface quality achieved in turning.

TL;DR: Wang et al. as mentioned in this paper developed a machine vision system for bearing defect inspection, which can inspect various types of defects on bearing covers, such as deformations, rusts, scratches and so on.

TL;DR: In this paper, a number of drilling experiments were conducted using the L16 orthogonal array on a CNC vertical machining center using uncoated and coated M35 HSS twist drills under dry cutting conditions.

TL;DR: In this article, a spin coating method was used for spin coating of polypyrrole and zinc oxide (ZnO) nanoparticles to detect NO 2 at low concentration with very high selectivity and sensitivity at room temperature than the reported PPy.

TL;DR: By re-training NN withWMRA, the system accuracies improved to the level of using normal GPS signal, and NN trained with WMRA improved the approximation to the actual model, further enhancing alignment accuracy.

TL;DR: In this article, the authors review the deterministic error and random noise sources for inertial sensors and derive the calibration parameters for MEMS-based strapdown IMUs, and provide performance results for an example application of body state and parameter estimation.

TL;DR: In this article, the measurements of output characteristics of a high-speed racing engine were performed by means of a data-recording system and the detonation combustion was evaluated using a quantitative method.

TL;DR: In this article, the averaged instantaneous power spectrum (AISP) is applied to vibration signal components originated from rolling element bearings to provide supplementary information about the cyclic component of interest and to enhance conclusions drawn from classical vibrodiagnostics approach.

TL;DR: In this paper, the authors deal with detection of local defects existing on races of deep groove ball bearing in the presence of external vibrations using envelope analysis and Duffing oscillator and confirm that the defect detection in envelope analysis mainly depends on the selection of centre frequency and bandwidth.

TL;DR: Simulation method, based on Monte Carlo method, is presented, which aims to implement correct and validated methods for uncertainty assessment that will be easy to implement and will not require broad metrological knowledge from the personnel.

TL;DR: In this article, the authors present a methodology which can create inspection plans automatically for CMM inspection combining a touch trigger probe and a laser scanner, based on the extracted geometry features and the associated PMI items from a CAD model.

TL;DR: In this article, the authors presented an experimental investigation of substituting R134a with R436A (a mixture of R290 and R600a with a mass ratio of 56/44) in a 238 L single evaporator domestic refrigerator without any modification in refrigeration cycle.

TL;DR: In this article, an approach for the diagnosis of neuro-degenerative diseases based on gait dynamics is proposed, which uses information from a time series of stride intervals, swing intervals, stance intervals and double support intervals of stride-to-stride measures of footfall contact times using force-sensitive resistors.

TL;DR: In this article, an adobe masonry structure with an optical fiber accelerometer and a network of thirteen multiplexed displacement sensors is reported, and the measured values showed a decrease of 48% in the structure first natural frequency value, between the initial situation and after the cyclic test.

TL;DR: In this paper, a method of planning a measurement strategy for objects with free-form surfaces is presented. But the measurement aims at evaluating the form deviation and thus the greatest deviation of the actual surface from the CAD model.

TL;DR: In this article, the authors review the measurement and characterization of pyroshock, requirements for various experimental simulations, excitation and measurement techniques, data acquisition, and an overview of numerical simulation.

TL;DR: In this article, the performance of a H 2 S sensor based on polyaniline-CdS nanocomposites fabricated by a simple spin coating technique was reported.

TL;DR: In this paper, an improved stochastic subspace identification algorithm is introduced to solve the low computational efficiency problem of the Data-driven Stochastic Subspace Identification (DSSA) problem.

TL;DR: This review focuses on the clinical experience using all kinds of smart implants like orthopedic implants instrumented with strain gauges, retina implant system using image sensors, and all other kind of implants.