NUST Institutions Library Catalogue Search for 'an:"119679"'

Tappett performance through gaint magneto resistance (GMR) sensors

By Rehan Zahid . Islambad SMME NUST 2013 . 70 p.

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A new Ant Colony Optimization Approach to solve No-wait Flowshop scheduling problems /

By Arshad Mehmood Chaudhary. . xii, 87 p. ; , Hardcover. 30cm.

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Optimization of Ceiling Fan Blades Using Design of Experiments & Response Surface Method

By Ahmad, Shamraiz. Islamabad: SMME - NUST, 2014 . 123 p.: ill.; , Hardcover. 30cm..

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Acoustic Measurement of Tractor Engine Valve Train using Acoustic Array /

By Qasim Sajid, Muhammad. . 58p. ; 30cm..

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Acoustic Emission of Engine Valve Train /

By Mustafa, Atta ul. . 55p. ; 30cm..

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To develop a technique to measure the phase angle between Crankpins /

By Zeeshan, Muhammad . . 49p. 30cm.

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To develop a technique to measure the diameter of crankshaft journal using three point contact /

By Abid, Muhammad Anees . . 55p. 30cm.

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Develop a technique for the inspection of piston profile and measure piston skirt diameter /

By Latif, Rehman. . 44p. 30cm.

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Modeling Simulation & Analysis Of Surface Roughness Effects on Piston Skirt Elastohydynamic Lubrication (EHL) Initial Engine Startups /

By Gulzar, Mubashir . . 128p. ; 30cm. .

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Hydraulic Actuator Test Rig /

By Khaliq, Abdul . . 53p. , Hydraulic actuator is the main component in hydraulic power steering system of tractors and other hydraulic machinery. These actuators must be inspected to an acceptable level through an efficient inspection machine in order to prevent mechanical failure. Previous studies have shown that actuators with end of line quality testing perform well and enhance reliability and durability. Previous studies on analyzing industrial products through automated inspection machines make a significant contribution in the development of these products. In this research project , we have develop a fully automated hydraulic actuator test rig for hydraulic cylinder manufacturers for end of line quality testing. A series of advanced control valves combined with intelligent algorithm have been employed to measure the key performance parameters. Two external actuators have been connected with the central work piece actuator to enable the cylinder to cycle against an external load sufficient to maintain a constant operating pressure of 140 bar for 90,000 cycles. This will enable actuator to perform accordingly as per standard requirement in which total leakage shall not exceed 50ml/90,000 cycles. Hydraulic gear pump is used for fluid flow in the circuit. Hydraulic Pump is connected with eclectic 3-phase motor through couplings to transfer the hydraulic oil in hoses. Solenoid directional control valves, pressure distributor valve and pressure relief valves were used for maintaining the hydraulic oil pressure at 140 bar during endurance testing. Another test namely performance test has been performed on the hydraulic actuator in which piston keeps in between 25 mm and pressure on one side of the piston keeps at 240 bar for 1 minute and then pressure reduces to zero and than again pressure increases to 20 bar for 5 minutes. Same procedure was repeated on the other side of piston. Standard for this test requires no external leakage and internal leakage is set to be not exceeded than 5ml/minute during pressure test. Results of endurance test shows that leakage was not exceeded than 50ml/90,000 cycles. Results of performance test shows no external vi leakage and internal leakage was not exceeded than 5ml/minute. The project research present an effective procedure to quality check hydraulic actuators with proof of the concept to actuators manufacturers. The new procedure is a significant improvement towards manufacturing more reliable actuators 30cm.

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Aero-Elastic Analysis of a Wing and Plate using Ansys/

By Sharif, Ejaz. . xii, 74p. ; , Hardcover 30cm..

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Tribological Analysis of Engine Valve Train Performance Considering Effects of Lubricant Formulation /

By Khurram, Muhammad . . 225p. , Fuel economy, reduction in power losses and control on emissions are the key drivers of the automotive industry. Development of new technologies and lubricant formulation is being pursued relentlessly to improve the engine performance. This in turn demands comprehensive experimental work based on reliable and accurate measurement system to analyze the effectiveness of these technologies. In roller follower valve train configuration, the power losses and deterioration of mating surfaces of cam and roller is largely governed by the sliding of rollers and lubrication conditions at cam/roller interface whereas the different operating conditions, lubricant rheology/chemistry can play an extremely important role in this context. In this research project, an advanced real production gasoline engine having end pivoted roller finger follower valve train has been instrumented, for the very first time, by employing the recently developed techniques based on advanced sensor technology to measure the rollers tribological behavior and oil film thickness at cam/roller interface under realistic environment. An elaborated experimental research work comprising of series of tests has been undertaken to investigate the effects of different operating conditions, oil rheology, lubricant chemistry and low viscosity oil on these important parameters. A new flexible test rig has been designed and developed whereas a high speed synchronized data acquisition system has been employed to hunt for the vital information. A numerical approach based on the lubrication and friction modeling is also the part of this research work to understand the tribological characteristics of the valve train and to predict various important tribological parameters. The experimental results showed that due to shear drag it was not necessary for roller rotational speed to increase with camshaft speed. The lubricant viscosity played a key role in the roller sliding at lower temperatures however at higher oil temperatures negative slip was also observed indicating that component inertia and internal friction have a role to play in roller slip. Relatively, higher magnitude of roller sliding was observed for mineral oil as compared to synthetic oil having almost same viscosity while operating under similar conditions. Good lubrication conditions were also observed at cam/roller interface due to dominance of rolling motion. Increase of roller sliding with corresponding rise in oil film thickness was recorded. A good agreement between the theoretical predictions and experimental evidences was also found. It is strongly believed that the obtained realistic data will provide greater flexibility in validating the predictive mathematical models on the valve iii trains and will be extremely beneficial for the engine designers and lubricant formulators in their ongoing efforts to improve the engine tribological efficiency. 30cm.

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Development of Neural Augmented Ant Colony Optimization (NaACO) Technique for Scheduling Problems /

By UMER, MUHAMMAD. . 182p. , This dissertation focuses on the development of an intelligent prone methodology for efficient and effective handling of scheduling problems. In industrial concerns the issues/problems related to resource scheduling arise from abrupt and sudden demand and want patterns due to clustered and unbalanced supply of resources and assets. A novel technique in this respect has been developed and implemented on cases from industry. This technique takes into stride the efficiency demonstrated by various PSO (Particle Swarm Optimization) inspired techniques, combined with the intelligent prone ANNs (Artificial Neural Networks). Novelty and uniqueness is demonstrated through amalgamation of these approaches to introduce a term: NaACO (Neural Augmented ACO). This formulation is done under the umbrella of introduction of yet another unique approach i.e i-ACO (Intelligent ACO) theme through Neu(Tau) or Neuτ.This thesis also focuses on how ACO takes into account and absorbs the neural aspect of supervised and unsupervised learning. The intention of this research is to come up with a unique, customized and yet efficient way to handle the problems of the industry under given limitations and constraints. A complete model for this approach is built and for the application of the model a high technology aviation maintenance industry (case study I) is selected along with a medium technology manufacturing setup (case study II). The usage of ACO meta-heuristic is taken as an ideal reference point with which every problem set can be converged towards a best fit solution. Subsequently ANN is used to come up with a combitorial dialog box to prompt for the inputs and evaluate the outputs of the given problem. The thesis contributes to current research by introducing NaACO, i-ACO through intelligent scheduling (hence introducing neuτ); which proposes many solutions of the existing problems. The discussion and conclusions part at the end summarizes the research and the future areas of research are also elaborated to assist and appreciate future researchers who are interested to endeavor in this field and related applications. 30cm.

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Fixed-Value MBLL based Cognitive Hemodynamic response assessment using P-fNIRS system: Applications to Deep Learning Brain Machine Interface (BMI) /

By Asgher,Umer . . 172p. , Humans in the modern systems not only interact with other humans but also have to interact with intelligent machines, robots in form of cyber physical systems to collaborate in order to carry out different tasks in real working environment. The modern Industrial system comprises of humans, machines, and cyber systems with a collective aim of optimized industrial manufacturing objectives, human factors, and ergonomics goals. Different macrohuman factors are considered while designing and formulating human work safety of such systems and one of the important neuroergonomic factors in is the Cognitive and Mental Workload (C-MWL). The mental workload (MWL) in the human’s brain is measured with difference non-invasive neuroimaging techniques. Most of the cognitive load measuring methods either require massive system protocols like fMRI (functional magnetic resonance imagining), positron-emission tomography (PET) or strict human anatomical movements restrictions like electroencephalogram (EEG) and magnetoencephalography (MEG). To address these limitations, fNIRS (functional Near infrared Spectroscopy) is used in this research to measure the hemodynamic changes in the human brain’s tissues as a measure of the brain activity. The brain’s hemodynamic signals are measured using a light weight portable fNIRS system (P-fNIRSSyst) that is designed to measure relative change in concentration of chromophores (oxy and deoxy hemoglobin) in brain tissues. In this study a novel variant of MBLL (Modified Beer-lambert Law) is designed by keeping the previous intensity value as a reference by taking the average from initial four seconds activity stimuli in optical density. The four second stimuli average in novel and important in calculation the changes in concentration of chromophores. This novel variant of MBLL is Fixed Value - Modified Beer-lambert Law (FV-MBLL). In this research, MWL is measured and classified in different real time working environments. The two-state cognitive load is measured with fNIRS system and classified using FV-MBLL using machine learning techniques like k-nearest neighbors (k-NN), support vector machines (SVM), and artificial neural networks (ANN). The classification accuracies of FV-MBLL are better than MBLL. The research further explores the classification capabilities of deep neural networks (DNN) such as convolutional neural network s (CNN) and Long short-term memory (LSTM) for the first time in assessment and classification of four- iv state MWL. The classification accuracies of LSTM outperform not only ML algorithms (SVM, KNN and ANN) but CNN as well in classification of multi-state MWL. The research experimental validation is performed using the accuracies with MWL that are further utilized in neurorehabilitation as neurofeedback to operate bionic systems using Brain Machine Interface (BMI). 30cm.

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