Mechanical engineer’s data

In this thesis, a numerical model with detailed reaction mechanism which is tailored for studying the behaviour of combustion of natural gas has been introduced and validated with available experimental data. The numerical model attempts to comprehensively simulate the physical conditions (temperature and pressure), equivalent ratio, and fuel dilution and strain rate effect in the laminar flames.

158p runthenight05 01-03-2023 16 3   Download

One of the limitations of the BDI (Belief-Desire-Intention) model is the lack of any explicit mechanisms within the architecture to be able to learn. In particular, BDI agents do not possess the ability to adapt based on past experience. This is important in dynamic environments as they can change, causing previously successful methods for achieving goals to become inefficient or ineffective.

108p runthenight07 01-03-2023 10 3   Download

This study aims to use CFD analysis of CT scan data from the nasal cavities of a range of older Asian males to investigate the impact of geometric variations between older nasal cavities on the airflow structures and airconditioning capacity of the nasal cavity. Air flow mechanisms, heat transfer rates and humidification efficacy are analysed in order to arrive at a more precise understanding of the role of nasal geometry in the presentation of respiratory ailments.

101p runthenight07 01-03-2023 8 3   Download

The objective of this research was to determine the role of neural feedback and muscle mechanics in the generation of physiological tremor oscillation. This research developed a neuromuscular model to simulate the individual and resulting oscillatory mechanisms of tremor. The oscillations found in EMG signal were also analysed empirically from EMG data from 54 subjects using Hilbert Transform and rectification to obtain the envelope of the signal. The time between rhythmical waveform patterns in the EMG signal, TC was found to be 78ms.

117p runthenight07 01-03-2023 6 3   Download

Goals of the dissertation: This thesis focuses on studying and developing meta-heuristic optimization methods and combines them with the Artificial Neural Network, which has advantages in approximating data, to build up a new algorithm for solving composite material structural optimization problems.

136p monsterhunterer 20-06-2021 10 3   Download

Equivalent inclusion approach is then developed to account for possible diversions, such as non-idealistic geometric forms of the inhomogeneities, imperfect matrix-inclusion contacts, filler dispersions, and when the particular values of the fillers’ properties are unspecified, using available numerical or experimental reference conductivity data for particular composites.

28p capheviahe27 23-02-2021 25 4   Download