Temperature Control and Data Acquisition Method for Factory using Labview

Author(s):  
Birajdar yogesh ◽  
P. Rengaprabhu
2021 ◽  
Author(s):  
Han Chunyu ◽  
Fang Jiandong ◽  
Li Bajin ◽  
Zhao Yudong

2021 ◽  
Author(s):  
Peter Lukacs ◽  
Theodosia Stratoudaki ◽  
Geo Davis ◽  
Anthony Gachagan

Abstract This study introduces a novel data acquisition method, the Selective Matrix Capture (SMC), that can adapt the array geometry during data acquisition, to the demands of the inspected structure, such as the defects encountered. The adaptive data acquisition method is enabled by the use of Laser Induced Phased Arrays (LIPAs). We have previously demonstrated high-resolution ultrasonic images of the interior of components using Full Matrix Capture (FMC) and the Total Focusing Method (TFM). However, capturing the FMC requires long synthesis time due to signal averaging and mechanical laser scanning, compromising the application potential of LIPAs. Given that most components are defect free, significant time savings can be obtained by only acquiring high-fidelity data when a defect is indicated. The paper presents the Selective Matrix Capture that acquires data more efficiently without a priori knowledge of the location of the defects, while still achieving the superior imaging quality provided by an FMC data set.


2015 ◽  
Vol 741 ◽  
pp. 199-203
Author(s):  
Xiang Li ◽  
Jun Min Huang

This work introduces the workings of reverse engineering, its characteristics and application methods and proposes a data acquisition system applicable to industrial design, namely, three dimensional sensing system (3DSS). This work also gives a detailed account of 3DSS data acquisition methods and issues that deserve special attention in operation. A car model reconstruction case is provided as an example to study the performance of 3DSS in reverse engineering. Results have confirmed the significant role of this data acquisition method in reverse engineering.


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