scholarly journals PSV-3 Detection of Bruising in Holstein Slaughter Cows with Infrared Thermography

2020 ◽  
Vol 98 (Supplement_3) ◽  
pp. 158-158
Author(s):  
Ashlynn Kirk ◽  
Kurt Vogel
Keyword(s):  
Infrared Thermography ◽  
Thermal Imaging ◽  
Heat Emission ◽  
Human Consumption ◽  
Infrared Thermal Imaging ◽  
Cull Cows ◽  
Imaging Camera ◽  
Trim Loss ◽  
The Impact ◽  
The Relationship

Abstract Identifying severe bruising in livestock before slaughter is valuable because bruises are likely a source of pain for the animal that cannot be seen by visual inspection. This bruising may result in major trim losses because bruised tissue is considered unfit for human consumption. The objective of this study was to determine if bruising could be detected under the hide of live Holstein cull cows with infrared thermal imaging technology. A FLIR E8 thermal imaging camera was utilized to capture heat emission images pre-hide removal and post hide removal for 36 Holstein cull cows. Images were collected approximately 2 m from each cow and associated carcass images were examined on FLIR Tools software to determine if and where inflammation was detected on the carcass. Trimming occurs throughout the slaughter process, but carcasses may be ‘railed out’ if additional trimming is necessary. Trim loss was collected from railed out carcasses and weighed. The impact of rail-out status on trim loss was significant (P < 0.0001). Carcasses that were railed out (n = 15) yielded 16.2 ± 2.0 kg of trim loss. Carcasses that were not railed out (n = 21) did not experience additional trim loss. Carcasses railed out for additional trimming where inflammation suggested bruising existed (n = 7) yielded 21.0 ± 4.8 kg of trim loss. Carcasses railed out for trimming where thermography did not detect bruising (n = 4) yielded 12.6 ± 6.4 kg of trim loss. The relationship between thermographic detection of bruises and trim loss among railed-out carcasses was not significant (P = 0.3200). Inflammation that predicted rail-out events was 63.64% while carcasses in which rail-out was not detected by thermography was 36.36%. It appears that infrared thermography has potential to identify carcass bruising but additional investigation is warranted to understand its limitations.

scholarly journals Heating Characteristics of Film Prepared with Polymer Composites Containing Graphite

2018 ◽  
Author(s):  
Seojin Kim ◽  
Weontae Oh ◽  
Jong-Seong Bae ◽  
Jeong Hyun Yeum ◽  
Jaehyung Park ◽  
...  
Keyword(s):  
Thermal Imaging ◽  
Chemical Structure ◽  
Heating Temperature ◽  
Infrared Thermal Imaging ◽  
Dc Voltage ◽  
Copper Electrodes ◽  
Physical Chemical ◽  
Imaging Camera ◽  
Pet Film ◽  
The Relationship

Heating films were prepared by using poly(methyl methacrylate) and polybutadiene composites containing graphite. The heating film was prepared by casting the as-made polymer composite on PET film. Copper electrodes were attached to both ends of the as-prepared film, and the heating characteristics of the film was analyzed while applying DC voltage. The electrical conductivity and the heating temperature of the heating films depended on the size, the structure, the content and the dispersion characteristics of the graphite in the composite. The electrical resistance of the heating film was controlled to adjust the heating temperature of the film. The relationship between the physical/chemical structure and the heating characteristics of the composite film was studied by measuring the heating temperature as functions of film thickness and resistance by using an infrared thermal imaging camera. The lower the film resistance, the higher the heating temperature of the film. The surface temperature was uniform throughout the film.

scholarly journals Heating Characteristics of Films Prepared with Polymer-Graphite Composites

2019 ◽  
Vol 2019 ◽  
pp. 1-8 ◽  
Author(s):  
Seojin Kim ◽  
Weontae Oh ◽  
Jong-Seong Bae ◽  
Seong Baek Yang ◽  
Jeong Hyun Yeum ◽  
...  
Keyword(s):  
Thermal Imaging ◽  
Chemical Structure ◽  
Heating Temperature ◽  
Infrared Thermal Imaging ◽  
Copper Electrodes ◽  
Physical Chemical ◽  
Imaging Camera ◽  
Pet Film ◽  
Graphite Composites ◽  
The Relationship

Heating films were prepared by using poly(methyl methacrylate) and polybutadiene composites containing graphite. The heating film was prepared by casting the as-made polymer composite on the PET film. Copper electrodes were attached to both ends of the as-prepared film, and the heating characteristics of the film were analyzed while applying the DC voltage. The electrical conductivity and the heating temperature of the heating films depended on the size, the structure, the content, and the dispersion characteristics of the graphite in the composite. The electrical resistance of the heating film was controlled to adjust the heating temperature of the film. The relationship between the physical/chemical structure and the heating characteristics of the composite film was studied by measuring the heating temperature as functions of film thickness and resistance by using an infrared thermal imaging camera. The lower the film resistance, the higher the heating temperature of the film. The surface temperature was uniform throughout the film.

High-speed infrared thermal imaging during ballistic impact of triaxially braided composites

2018 ◽  
Vol 52 (25) ◽  
pp. 3549-3562 ◽  
Author(s):  
Joel P Johnston ◽  
J Michael Pereira ◽  
Charles R Ruggeri ◽  
Gary D Roberts
Keyword(s):  
Thermal Imaging ◽  
High Speed ◽  
Imaging System ◽  
Polymer Matrix Composites ◽  
Ballistic Impact ◽  
Back Surface ◽  
Composite Panels ◽  
Infrared Thermal Imaging ◽  
Failure Patterns ◽  
The Impact

Ballistic impact experiments were performed on triaxially braided polymer matrix composites to study the heat generated in the material due to projectile velocity and penetration damage. Triaxially braided (0/+60/−60) composite panels were manufactured with T700S standard modulus carbon fiber and two epoxy resins. The PR520 (toughened) and 3502 (untoughened) resin systems were used to make different panels to study the effects of resin properties on temperature rise. The ballistic impact tests were conducted using a single stage gas gun, and different projectile velocities were applied to study the effect on the temperature results. Temperature contours were obtained from the back surface of the panel during the test through a high speed, infrared thermal imaging system. The contours show that high temperatures were locally generated and more pronounced along the axial tows for the T700S/PR520 composite panels; whereas, tests performed on T700S/3502 composite panels, using similar impact velocities, demonstrated a widespread area of lower temperature rises. Nondestructive, ultrasonic C-scan analyses were performed to observe the failure patterns in the impacted composite panels and correlate the C-scan results with the temperature contours. Overall, the impact experimentation showed temperatures exceeding 252℃ (485°F) in both composites which is well above the respective glass transition temperatures for the polymer constituents. This expresses the need for further high strain rate testing with measurement of the temperature and deformation fields in order to fully understand the complex behavior and failure of the material and to improve the confidence in designing aerospace components with these materials.

scholarly journals Medical infrared thermal imaging of syringomyelia in the Cavalier King Charles Spaniel

2020 ◽  
Author(s):  
Michael Larkin ◽  
Catherine Loughin ◽  
Dominic Marino ◽  
Curtis Dewey ◽  
Scott Umbaugh ◽  
...  
Keyword(s):  
Thermal Imaging ◽  
Imaging Modality ◽  
Infrared Camera ◽  
Heat Emission ◽  
Infrared Thermal Imaging ◽  
Feature Sets ◽  
Non Invasive ◽  
Thermographic Image ◽  
Localized Disease ◽  
Color Map

Abstract Background Medical infrared thermal imaging (MITI) is a non-invasive imaging modality gaining popularity in the veterinary field. An infrared camera captures emission of heat and creates a color map in the form of a thermogram. Topical heat emission is influenced by localized disease processes as a result of autonomic nervous system imbalance. The purpose of this study was to determine the utility of using thermography to identify changes in thermographic patterns associated with syringomyelia (SM) presence or absence in Cavalier King Charles Spaniels (CKCS) with Chiari-like Malformation (CLM).Results In CKCS with CLM, MITI was most accurate at a texture distance of 6. Optimizing imaging feature sets produced a highest accuracy of 69.9% (95% CI: 59.5-79.0%), with 81.3% sensitivity and 57.8% specificity for identifying the presence of syringomyelia.Conclusion Thermographic image analysis is a successful non-invasive, diagnostic test that can be used to screen for syringomyelia presence in a CKCS with CLM.

Modified Gaussian convolutional deep belief network and infrared thermal imaging for intelligent fault diagnosis of rotor-bearing system under time-varying speeds

2021 ◽  
pp. 147592172199895
Author(s):  
Li Xin ◽  
Shao Haidong ◽  
Jiang Hongkai ◽  
Xiang Jiawei
Keyword(s):  
Thermal Imaging ◽  
Deep Belief Network ◽  
Time Varying ◽  
Infrared Thermal Imaging ◽  
Thermal Images ◽  
Belief Network ◽  
Rotor Bearing ◽  
Infrared Thermal Images ◽  
The Impact ◽  
Bearing System

The vast majority of the existing diagnostic studies using deep learning techniques for rotating machinery focus on the vibration analysis under steady rotating speed. Nevertheless, the collected vibration signals are sensitive to time-varying speeds and the vibration sensors may cause structure damage of equipment after long-term close contact. Aiming at these aforementioned problems, a modified Gaussian convolutional deep belief network driven by infrared thermal imaging is proposed to automatically diagnose different faults of rotor-bearing system under time-varying speeds. First, infrared thermal images are measured to characterize the working states of rotor-bearing system to reduce the impact of changeable speeds. Second, Gaussian units are used to construct Gaussian convolutional deep belief network to well deal with infrared thermal images. Finally, trackable learning rate is designed to modify the training algorithm to enhance the performance. The comparison results verify the feasibility of the proposed method, which outperforms the other methods.

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