Transient engine model for calibration using two-stage regression approach

Engine mapping is the process of empirically modelling engine behaviour as a function of adjustable engine parameters, predicting the output of the engine. The aim is to calibrate the electronic engine controller to meet decreasing emission requirements and increasing fuel economy demands. Modern engines have an increasing number of control parameters that are having a dramatic impact on time and e ort required to obtain optimal engine calibrations. These are further complicated due to transient engine operating mode. A new model-based transient calibration method has been built on the application of hierarchical statistical modelling methods, and analysis of repeated experiments for the application of engine mapping. The methodology is based on two-stage regression approach, which organise the engine data for the mapping process in sweeps. The introduction of time-dependent covariates in the hierarchy of the modelling led to the development of a new approach for the problem of transient engine calibration. This new approach for transient engine modelling is analysed using a small designed data set for a throttle body inferred air ow phenomenon. The data collection for the model was performed on a transient engine test bed as a part of this work, with sophisticated software and hardware installed on it. Models and their associated experimental design protocols have been identi ed that permits the models capable of accurately predicting the desired response features over the whole region of operability. Further, during the course of the work, the utility of multi-layer perceptron (MLP) neural network based model for the multi-covariate case has been demonstrated. The MLP neural network performs slightly better than the radial basis function (RBF) model. The basis of this comparison is made on assessing relevant model selection criteria, as well as internal and external validation ts. Finally, the general ability of the model was demonstrated through the implementation of this methodology for use in the calibration process, for populating the electronic engine control module lookup tables

Response of Gaussian-modulated guided wave in aluminum: An analytical, numerical, and experimental study

The application of guided-wave ultrasonic testing in structural health monitoring has been widely accepted. Comprehensive experimental works have been performed in the past but their validation with possible analytical and numerical solutions still requires serious efforts. In this paper, behavior and detection of the Gaussian-modulated sinusoidal guided-wave pulse traveling in an aluminum plate are presented. An analytical solution is derived for sensing guided wave at a given distance from the actuator. This solution can predict the primary wave modes separately. Numerical analysis is also carried out in COMSOL® Multiphysics software. An experimental setup comprising piezoelectric transducers is used for the validation. Comparison of experimental results with those obtained from analytical and numerical solutions shows close agreement

Piezoelectric metamaterial with negative and zero Poisson's ratios

This study presents the finite element–based micromechanical modeling approach to obtain the electromechanical properties of the piezoelectric metamaterial based on honeycomb (HC) cellular networks. The symmetry of the periodic structure was employed to derive mixed boundary conditions (MBCs) analogous to periodic boundary conditions (PBCs). Three classes of hexagonal HC cellular networks, namely, a conventional HC (CHC), a re-entrant HC (RE), and a semi-re-entrant HC (SRE) were considered. The representative volume elements (RVEs) of these three classes of cellular materials were created, and finite element analyses were carried out to analyze the effect of orientation of the ligament on their effective electromechanical properties and their suitability in specific engineering applications. The longitudinally poled piezoelectric HC cellular networks showed an enhanced behavior as compared to the monolithic piezoelectric materials. Moreover, longitudinally poled HC cellular networks demonstrated that, as compared to the bulk constituent, their hydrostatic figure of merit increased and their acoustic impedance decreased by one order of magnitude, respectively, indicating their applicability for the design on hydrophones. Moreover, results showed that cellular metamaterial with tunable electromechanical characteristics and a variety of auxetic behaviors such as negative, positive, or zero Poisson’s ratios could be developed. Such novel HC network-based functional cellular materials are likely to facilitate the design of light-weight devices for various next-generation sensors and actuators

CXCL12-Mediated Regulation of ANP32A/Lanp, A Component of the Inhibitor of Histone Acetyl Transferase (INHAT) Complex, in Cortical Neurons

The chemokine receptor CXCR4 and its endogenous ligand, CXCL12, are involved in development and homeostasis of the central nervous system and in the neuropathology of various neuroinflammatory/infectious disorders, including neuroAIDS. Our previous studies have shown that CXCR4 regulates cell cycle proteins that affect neuronal survival, such as the retinoblastoma protein, Rb. These studies also suggested that Rb-mediated gene repression might be involved in the neuronal protection against NMDA exitotoxicity conferred by stimulation of the CXCL12/CXCR4 axis. In order to further test this hypothesis, we focused on the potential interaction of Rb with another protein implicated in regulation of gene expression, leucine-rich acidic nuclear protein (Lanp), also known as ANP32A/pp32/PHAP1. Lanp is a critical member of the protein complex inhibitor of histone acetyl transferase (INHAT), which prevents histone tail's acetylation, thus leading to transcriptional repression. Our data show that, in primary rat cortical neurons cultured for up to 30 days, Lanp is predominantly localized into the nucleus throughout the culture period, in line with in vivo evidence. Moreover, co-immunoprecipitation experiments show that endogenous Lanp interacts with Rb in neurons. Stimulation of CXCR4 by its endogenous ligand, CXCL12, increased Lanp protein levels in these neurons. Importantly, the effect of CXCL12 was preserved after exposure of neurons to NMDA. Finally, overexpression of exogenous Lanp in the neurons protects them from excitotoxicity. Overall, these findings suggest that Lanp can interact with Rb in both young and mature neurons and is implicated in the regulation of neuronal survival by CXCL12/CXCR4. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s11481-010-9228-5) contains supplementary material, which is available to authorized users

Experimental assessment of multiple contact wear using airborne noise under dry and lubricated conditions

The generation of wear and airborne noise is inevitable in the mechanical contacts of the machine components. This paper addresses the effectiveness of the airborne noise data in estimating the wear on a disc under multi-contact conditions. A pin-on-disc rig was employed to study the role of noise parameters on the evolution of the wear area. When a pin slides on the disc, the airborne noise is generated and subsequently a sound signal is obtained. These signals, for various sets of experiments, were recorded using a digital microphone. A Matlab code was developed and employed to estimate the noise parameters from the recorded sound. Noise parameters including values of voltage RMS, noise counts and amplitudes of dominant frequencies were used to analyse the variation in the disc wear at different time intervals. These parameters were found to be effective in the determination of the wear damage evaluation under different loads without lubrication

Relationships Between Self-Efficacy and the Academic Procrastination Behaviour Among University Students in Malaysia: a General Perspective

Procrastination behaviour is a common phenomenon among people. In educational setting it always related to the student academic performance. Past studies have shown that the tendency of student to procrastinate could affect their academic life. For example, studying in the last minute is a procrastination behaviour committed by the students. This study is conducted to explore the association between academic procrastination, self-efficacy and academic performance among university students in Malaysia. The finding showed that most students are prone to procrastinate in their academic life. However in most cases it appears that the procrastination behaviour does not affect the student's academic performance. A similar situation also recorded where the self-efficacy does not affect the tendency for student to procrastinate in their academic activities. It is suggested that in improving the student performance at the university the direct and indirect factors should be addressed including the academic procrastination behaviours. It was concluded that the student's academic performance is influenced not directly by procrastination behaviour but by other factors. Several suggestions and recommendations are also presented

Unusual Atypical Language Lateralization

Determining the language-dominant hemisphere is essential for planning epilepsy surgery. A 60-year-old righthanded woman with epilepsy since age 16 failed a partial right anterior lobectomy at age 21. Later, a brain MRI found extensive right-sided cortical dysplasia and periventricular heterotopia. Subsequently, prolonged videoEEG monitoring localized her seizures to the right temporoparietal region. Functional MRI was inconclusive in lateralizing her language, prompting a Wada test, which strongly lateralized language to the right. This unique case of atypical language representation in a right-handed individual with an extensive right-hemispheric congenital malformation and seizure focus illustrates the important thorough presurgical language assessment

Instant dynamic response measurements for crack monitoring in metallic beams

This paper investigates the interdependencies of the modal behaviour of a cantilever beam, its dynamic response and crack growth. A methodology is proposed that can predict crack growth in a metallic beam using only its dynamic response. Analytical and numerical relationships are formulated between the fundamental mode and crack growth using the existing literature and finite element analysis (FEA) software, respectively. A relationship between the dynamic response and the modal behaviour is formulated empirically. All three relationships are used to predict crack growth and propagation. The load conditions are considered the same in all of the experiments for both model development and model validation. The predicted crack growth is compared with the visual observations. The overall error is within acceptable limits in all comparisons. The results obtained demonstrate the possibility of diagnosing crack growth in metallic beams at any instant within the operational conditions and environment