Abstract
D.Ing.
An optimal laser pulser topology for employment in a future commercial molecular laser isotope separation (MLIS) plant is proposed by this thesis. It is pointed out in the introduction that power modulator research and development were performed without much regard to economic constraints in the past. These conditions were
mainly caused by international strategic initiatives and spawned a wealth of different circuit topologies and techniques. Many more can be devised by using the various subsystems of these topologies and techniques in different combinations. However, under the paradigm of a modern day commercial application, the luxury of trying yet another new topology, merely on the merits of personal preference, does not exist. Therefore, it is proposed that a laser pulser topology be formally selected by using suitable criteria derived from the application. Formal definitions are provided for the general subsystems found in all laser excitation systems, as a foundation for the selection process. The available options for each subsystem type, as well as the options for combining them into various topologies are described. Many examples are quoted from the literature to corroborate the basic descriptions. Practical circuit issues are dealt with in an appendix. Selection criteria are determined by contemplating the theory and practical issues of pulse power technology, transversely excited atmospheric carbon dioxide lasers as well as molecular laser isotope separation. It is argued that all of these criteria can be combined into a single economic criterion, namely life cycle cost. This argument is supported by the commercial requirement of economic viability of the future plant. The author formulates a life cycle cost calculation model (LCCCM) from all the technical and economic issues previously mentioned. It includes a flexible design section that can accommodate any of the possible topology options. Cost functions, which include reliability analysis, are used to calculate capital and operating costs from the design parameters, throughout the life cycle of the plant. Probability theory is used to model parameters with indeterminate values.
The use of the LCCCM and its subtleties are demonstrated by comparing two basic options in a case study. It is finally used in a reasoned process of elimination to find the best topology option for the application.