Summary: | 碩士 === 朝陽科技大學 === 工業設計系 === 104 === From past until now, humanity was not without appreciating very much for diligent bee and skillful honeycomb. Both Aristotle who was a Greek biologist and Charles Darwin who was a modern naturalist had ever left compliments. Darwin showered honeycomb with compliments. It is the most amazing achievement for bee to build up honeycomb by its animal instinct. Whether the bees' workforce or using beeswax, honeycomb was the most fitted in with economy principle, and approached to perfect. The creations of nature to learn its advantages, after learning and development, it is a major driving force of human progress.
This chapter began to discuss from design bionics opinions. How the honeycomb construction to take shape? How to apply to our life? How to widespread use on package industry, aviation industry, furniture industry and construct industry? Then according to physical characteristics and advantages of honeycomb, which was used in camping tent. By analyzing characteristics of honeycomb’s structure, and then aggregate the common problems, for example, thermal insulation efficacy and so on. The major problem is known that the tent’s elements of requirement. However, we could take the Quality Function Deployment (QFD) as a secondary method, collecting the actual demand of the relevant information. With the actual needs of the relevant information collected in a systematic way to convert the actual end use demand-reference index. Convert it to the technical requirements, this information will be integrated in product design and manufacturing process, we should figure out the effort goal of future. Developing fit in with the demand of camping tent, both for warmth and insulation, lightweight and durable camping living space.
Finally, we could use SWOT analysis to analyze strengths and weaknesses of products, and improve matrix organization of house of quality. Setting a reasonable design goal and policy to assist in explanations on honeycomb structure product design and strengthen quality function expansion feasibility
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