6 resultados para Delaware

em Deakin Research Online - Australia


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A tapestry is a fabric in which multicoloured threads are interwoven to produce a pictorial design. The design of a tapestry often seems three-dimensional with layers of interwoven images of people and events from various times past and present. I use the tapastry as a motif or metaphor to describe the bordering and interweaving of my 'multiple lifeworlds' (Cope & Kalantzis 8) as an Italian Australian woman, academic, writer and social activist. Within and between each .of these worlds are points of tension and confluence, questions and emotions that motivate my own research and writing, and motivate my work with young people to articulate their own 'multiple lifeworlds' through writing
and art.

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This paper examines the impact that environmental factors have on the decision of Australian companies to adapt products for Middle Eastern markets. It  concludes that of all product aspects, labeling requires the greatest amount of adaptation and that socio-cultural factors have the greatest influence on overall product adaptation. Furthermore, environmental factors impact on product   adaptation in different ways, reflected in the adaptation of different aspects of the overall product.

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The paper examines the contributing factors to new product success within the Australian grocery market. A review of the literature on new product success factors and reasons for failure is presented. The research identifies reasons for failure of new products as well as reasons for success. The main reasons for new product failure are incorrect pricing, poor marketing, wrong product launch timing, poor distribution and lack of marketing funds. For new product success it is critical to have strong leadership, competent staff and an on-going new product development process.

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This paper comprehensively investigates performance of evolutionary algorithms for design optimization of shell and tube heat exchangers (STHX). Genetic algorithm (GA), firefly algorithm (FA), and cuckoo search (CS) method are implemented for finding the optimal values for seven key design variables of the STHX model. ε-NTU method and Bell-Delaware procedure are used for thermal modeling of STHX and calculation of shell side heat transfer coefficient and pressure drop. The purpose of STHX optimization is to maximize its thermal efficiency. Obtained results for several simulation optimizations indicate that GA is unable to find permissible and optimal solutions in the majority of cases. In contrast, design variables found by FA and CS always lead to maximum STHX efficiency. Also computational requirements of CS method are significantly less than FA method. As per optimization results, maximum efficiency (83.8%) can be achieved using several design configurations. However, these designs are bearing different dollar costs. Also it is found that the behavior of the majority of decision variables remains consistent in different runs of the FA and CS optimization processes.