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Characteristic that is hard to obtain in the calculation in product development. The sensory characteristic is often had such as sound quality, visual sensation and tactile sensation. The evaluation method for visualizing the determination of the customer is being established by applying Taguchi-methods and so on. The fact is still got many corresponds with the method of Try & Error as numbers of cases are small in order to optimize the properties. Therefore, the study was conducted of the method for optimization of sound quality by using the innovative tool using Taguchi-methods that newly developed. The research results are summarized as follows. (1) Sensory characteristic tuning method by using Taguchi-methods was calculated the values to be optimized in a few studies, and the result was equal to or greater than the result of specialists is carried out. (2) Commonly, the sensory characteristic of optimization is conducted with the method of Try & Error; moreover, it could be confirmed that leading to improvement of productivity by using this method even though it takes time to perform so as to optimize under changing in physical condition and environment.
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Thermally induced errors have been approached in multiple ways due to the influence these have over the positional accuracy of a machine tool. Here, approaches regarding environmental thermal fluctuations surrounding a machine tool remain to be explored in detail. These fluctuations have been explored in terms of the heat transfer coefficient and thermal radiation of the machine shop walls, as well as in terms of seasonality and varying thermal gradients. This paper presents additional considerations regarding environmental temperature perturbations, as heat transfer coefficient fluctuations in the machine shop were thought to play a significant role in machine tool thermal deformation a broader term for these phenomena, environmental thermal fluctuations, was defined and evaluated. Specifically, an environmental thermal data survey of a machine shop was explored. This data was then applied to a NC milling machine and a CNC jig borer FEM analyses and compared to experimental data. FEM simulations were then used to demonstrate that convection regimes and heat transfer coefficient values at a machine shop have a significant influence over machining precision. Here, under maximum and minimum heat transfer coefficient values, the NC milling machine and CNC jig borer simulations results showed an error of cut difference up to 36.5 μm and 18.17 μm, respectively. In addition, as the importance of the heat transfer coefficient was highlighted, considerations regarding machine tool surface color were deemed relevant and were described.
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