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                                首頁  >  技術文章  >  電阻層析成像模塊應用-基于電導率層析成像的304不銹鋼熔覆層電導率檢測研究

                                電阻層析成像模塊應用-基于電導率層析成像的304不銹鋼熔覆層電導率檢測研究

                                更新時間:2023-12-01瀏覽:184次

                                 

                                電阻層析成像模塊

                                 基于電導率層析成像的304不銹鋼熔覆層電導率檢測研究

                                  Research on conductivity detection of 304 stainless steel cladding layer based on conductivity tomography

                                  背景介紹

                                  Background

                                  本案例用于快速呈現激光熔覆層(以304不銹鋼為例)的電導率分布,從而分析其結構變化。通過對比分析了在不同電極數量、激勵測量模式及溫度變化下的檢測情況,驗證了這種檢測方法的可行性。測試結果表明,使用16電極及間隔激勵測量模式能得到穩定的測量電壓數據,且超分辨率圖像重建算法能準確識別不同形狀的熔覆層。同時,還發現,在加熱區域,304不銹鋼熔覆層的導電性與常溫區域有顯著差異,說明電子運動速度和電導率分布隨溫度變化明顯。

                                  This case is used to quickly present the conductivity distribution of the laser cladding layer (taking 304 stainless steel as an example) to analyze its structural changes. The feasibility of this detection method was verified by comparative analysis of detection conditions under different electrode numbers, excitation measurement modes, and temperature changes. The test results show that using 16 electrodes and spaced excitation measurement mode can obtain stable measurement voltage data, and the super-resolution image reconstruction algorithm can accurately identify cladding layers of different shapes. At the same time, it was also found that the conductivity of the 304 stainless steel cladding layer in the heating area is significantly different from that in the normal temperature area, indicating that the electron movement speed and conductivity distribution change significantly with temperature.

                                  關鍵技術1:激光熔覆實驗平臺搭建

                                  Laser cladding experimental platform construction

                                  關鍵技術2:檢測系統實驗平臺搭建

                                  Detection system experimental platform construction

                                  關鍵技術3:圖像重建求解研究

                                  Detection system experimental platform construction

                                 


                                 


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