This thesis examines the psycho-spirtual transormations of the journey towards Wholeness. Two questions presented themselves asking "What are the actual themes that emerge from the stories of those on a journey" and "What are the transformational experiences encountered along a journey towards Wholeness?" A phenomenological hermeneutic research format was used to investigate and understand the particular themes that emerged from the co-researchers stories. This methodology allowed the researcher to approach the phenomenon being investigated with respect and sensitivity in honouring the actual lived experiences of the co-researchers. Under this framework, research interviews were conducted with nine co-researchers; seven men and two women, which produced a set of narratives depciting the lived experiences of those on a journey towards Wholeness. Through a hermeneutical analysis of the deep meanings embedded within each narrative a collection of sub-themes were arranged and from them nine major themes emerged. They included: 1) vulnerable beginnings, 2) a journey into the unkown, 3) journeying through relationships, 4) a turbulent encounter with ourselves, 5) the guru-disciple relationship, 6) exposing the root of suffering, 7) the end of seeking, 8) radical understanding, and 9) luminous impersonal existence. A summary of the findings was provided along with a look at the limitations of this study and the implications this study has in the counselling relationship. It is clear that the powerful experience of letting go to separate self existence, conventional notions of space and time, and the journey altogether leads to the understanding of Wholeness right here, right now. / vii, 177 leaves ; 28 cm.

No description available.

No description available.

No description available.

No description available.

Since new product designs have little field data available a correlation between field and accelerated test life cannot be made. However, a step partially accelerated life test approach where samples are tested under normal conditions for a time and then run to failure on an accelerated test can be used to estimate the statistical model parameters. This thesis developed the maximum likelihood parameter estimates for a step partially accelerated life test based on a Weibull distribution model for a hypothetical automotive component. Using a Monte Carlo approach with type-II censoring, the effect of sample size and length of sampling period used on the variability of the estimated parameters was examined. A smaller sampling period and small sizes lead to significant variability, which decreased as the sampling period and sample size increased. Use of a partitioned sample did not lead to an improvement in the variability of the estimates. / Department of Mathematical Sciences

Reuse of components as opposed to material recovery, recycling or disposal has been identified as one of the most efficient EOL strategies for products. The concept behind reuse is that some components and subassemblies have a design life that exceeds the life of the product itself. In order for reuse to be successfully implemented as an EOL strategy, a designer needs to incorporate into a product a philosophy of Design for Reuse (DfRe) at the early design stage. Reliable methods to assess the remaining life of used components based on a products usage life are also required. Furthermore, current industry practices and literature advocate that there is no methodology to decide which parameters need to be redesigned so as to change the life of a selected component to a desired level. The objective of this research is to develop a methodology to assess the reuse potential of product groups based on component failure mechanisms and their associated critical lifetime prediction design parameters. Utilising these clustered groups mathematical models were then developed to establish the useful life of the components for each clustered group. Finally, a means of equating useful life to design life was established and the relationship between, the failure mechanisms, critical lifetime prediction design parameters and design life were represented in graphical format. In order to achieve the proposed objective, Cluster analysis, in particular Group Technology (GT) and Hierarchical clustering were employed to group components with similar failure mechanisms. Following this, multiple linear regression was used to establish mathematical models based on condition monitoring data for each of the clustered groups and their related critical lifetime prediction design parameters. A sensitivity analysis was conducted using the mathematical models, in order to produce graphical relations between the useful life and design parameters of a product. The validity of the suggested methodology was tested on electric motors and a gearbox as both these components have demonstrated great reuse potential. The results demonstrate that the methodology can assist designers in estimating the design life and associated design parameters with great accuracy, and subsequently aiding in a stratagem for reuse.

Reuse of components as opposed to material recovery, recycling or disposal has been identified as one of the most efficient EOL strategies for products. The concept behind reuse is that some components and subassemblies have a design life that exceeds the life of the product itself. In order for reuse to be successfully implemented as an EOL strategy, a designer needs to incorporate into a product a philosophy of Design for Reuse (DfRe) at the early design stage. Reliable methods to assess the remaining life of used components based on a products usage life are also required. Furthermore, current industry practices and literature advocate that there is no methodology to decide which parameters need to be redesigned so as to change the life of a selected component to a desired level. The objective of this research is to develop a methodology to assess the reuse potential of product groups based on component failure mechanisms and their associated critical lifetime prediction design parameters. Utilising these clustered groups mathematical models were then developed to establish the useful life of the components for each clustered group. Finally, a means of equating useful life to design life was established and the relationship between, the failure mechanisms, critical lifetime prediction design parameters and design life were represented in graphical format. In order to achieve the proposed objective, Cluster analysis, in particular Group Technology (GT) and Hierarchical clustering were employed to group components with similar failure mechanisms. Following this, multiple linear regression was used to establish mathematical models based on condition monitoring data for each of the clustered groups and their related critical lifetime prediction design parameters. A sensitivity analysis was conducted using the mathematical models, in order to produce graphical relations between the useful life and design parameters of a product. The validity of the suggested methodology was tested on electric motors and a gearbox as both these components have demonstrated great reuse potential. The results demonstrate that the methodology can assist designers in estimating the design life and associated design parameters with great accuracy, and subsequently aiding in a stratagem for reuse.

Thesis (Ph.D.)--University of Melbourne, Dept. of Philosophy, 2007. / Typescript. Includes bibliographical references (p. 406-412).

Thesis (Ph. D.)--University of Chicago, Dept. of Linguistics, June 1999. / Includes bibliographical references. Also available on the Internet.