READ ME File For 'Dataset for "Microstructural assessment of 316L stainless steel using infrared thermography based measurement of energy dissipation arising from cyclic loading"' Dataset DOI: 10.5258/SOTON/D1369 ReadMe Author: Fabrice Pierron, University of Southampton [ORCID ID: 0000-0003-2813-4994] This dataset supports the publication: AUTHORS: P. J. Seelan, J. M. Dulieu-Barton, F. Pierron TITLE: Microstructural Assessment of 316L Stainless Steel Using Infrared Thermography Based Measurement of Energy Dissipation Arising from Cyclic Loading JOURNAL: Mechanics of Materials PAPER DOI IF KNOWN: 10.1016/j.mechmat.2020.103455 This dataset contains: - A main Matlab programme to process the data: SpAvDissipation.m - A series of Matlab functions called by the main programme: * getROI.m * getROI2.m * mone.m * PJS_fft.m * PJS_removeDC.m * RKF_ReadCroppedImage.m * RKF_ReadFileInfo.m * RKF_ReadLISignal * stuffcalPX.m - The calibration file for the IR camera for this particular integration time (1200 microsecond): cal1200mus.mat - Thermal data: * As received specimen (A) with cyclic loading at 14 Hz with maximum stress at 265 MPa: ASR_265.ptw * As received specimen (A) with cyclic loading at 14 Hz with maximum stress at 320 MPa: ASR_320.ptw * Three noise data sets (no cyclic loading applied, for heat source noise floor evaluation purposes only): Noise1.ptw. NOTE: The actuator start frame (in line 13) varies for each data. Plot s.LI (the lock-in signal) to check at which frame the cyclic loading starts exactly. How to use the programme: 1. Open SpAvDissipation.m 2. Change file name in line 10 i.e. 'ASR_350MPa.ptw'. NOTE: Raw data in .ptw file format 3. Run code 4. In the first pop up adjust the the region of interest (ROI) selector to get the maximum are for the SPECIMEN. Then double click. 5. In the second pop up adjust the ROI selector to get the maximum area for REFERENCE SPECIMEN. Then double click. 6. The variable 'wchdc_...'is the dissipation in K/s. Date of data collection: 2016-2017 Information about geographic location of data collection: University of Southampton, TSR Laboratory Licence: CC-BY Related projects: The work described in the paper was part of an Innovate UK sponsored collaborative project under the “Developing the civil nuclear power supply chain” call, number 101438, Residual Stress and Structural Integrity Studies using Thermography (RESIST). Project partners include Enabling Process Technologies Ltd, University of Southampton, National Physical Laboratory, TWI, EDF Energy and Wood Plc. The experimental work described in the paper was conducted in the Testing and Structures Research Laboratory (TSRL) at the University of Southampton https://www.southampton.ac.uk/engineering/research/facilities/360/tsrl_360.page. The authors acknowledge the support received from Dr Andy Robinson, the TSRL Principal Experimental Officer. Date that the file was created: April, 2020