uggs Expanding medical interventional catheter mol

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Expanding medical interventional catheter mold design

Experience, I. DPE molding temperature is generally taken to be lOO ~ 200 ℃. Molding temperature and the size of the error on the product's surface quality has a greater impact. 3.2 The heating tube heating time a long time, could easily lead to decomposition,[link widoczny dla zalogowanych], discoloration and other defects; heating time is short, and less than optimal molding temperature, expanding the pipe after the large internal stress, prone to bleaching, shrinkage rate is high, crack and other defects. I. DPE catheter heating time and material grades,[link widoczny dla zalogowanych], catheter wall thickness, diameter, etc. are directly related. It is generally proportional to the specific heat capacity IDPE. Its thermal conductivity is inversely proportional to wall thickness increased with the extension, but non-linear relationship. 3.3 The availability of natural cooling annealing cooling tubes, pipes help to improve impact resistance, but a long time, low productivity. Therefore,[link widoczny dla zalogowanych], in order to shorten the molding time, one (the switch 89) polar cap thickness control chart control in the injection should be friends in the plastic 34, 2005 No. 4 material expenses, improve productivity, increase efficiency. 5 Conclusion 1) control chart new ground in the polar caps applied to the injection molding wall thickness control, the need to have two quality characteristics of the distribution of the control of injection molding products,[link widoczny dla zalogowanych], provides a new situation in a successful attempt in a wider range Application of polarization control chart provides a reference example. 2) injection molding process, the products and mold is determined, the process parameter selection and adjustment of a serious impact on the geometry and molding products, product performance, product quality control parameters with the injection molding machine has a direct relationship between the two poles in the control chart analysis process parameters on the basis of test and improve the setting, but also need to quantify their relationship through trial and error, and through statistical analysis of data collected, the eventual establishment of the mathematical model.

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