Trialing a semi-automated line cage for scent detection by African pouched rats.

2019 ◽  
Vol 19 (2) ◽  
pp. 150-163 ◽  
Author(s):  
Haylee M. Ellis ◽  
Erin E. Watkins ◽  
Christophe Cox ◽  
Rebecca J. Sargisson ◽  
Timothy L. Edwards
2020 ◽  
Vol 174 ◽  
pp. 104085
Author(s):  
Elisabeth K. Webb ◽  
Caterina Caneva Saccardo ◽  
Alan Poling ◽  
Christophe Cox ◽  
Cynthia D. Fast

Recycling ◽  
2021 ◽  
Vol 6 (1) ◽  
pp. 11
Author(s):  
Kirsti Cura ◽  
Niko Rintala ◽  
Taina Kamppuri ◽  
Eetta Saarimäki ◽  
Pirjo Heikkilä

In order to add value to recycled textile material and to guarantee that the input material for recycling processes is of adequate quality, it is essential to be able to accurately recognise and sort items according to their material content. Therefore, there is a need for an economically viable and effective way to recognise and sort textile materials. Automated recognition and sorting lines provide a method for ensuring better quality of the fractions being recycled and thus enhance the availability of such fractions for recycling. The aim of this study was to deepen the understanding of NIR spectroscopy technology in the recognition of textile materials by studying the effects of structural fabric properties on the recognition. The identified properties of fabrics that led non-matching recognition were coating and finishing that lead different recognition of the material depending on the side facing the NIR analyser. In addition, very thin fabrics allowed NIRS to penetrate through the fabric and resulted in the non-matching recognition. Additionally, ageing was found to cause such chemical changes, especially in the spectra of cotton, that hampered the recognition.


2021 ◽  
pp. 0734242X2098206
Author(s):  
Haijun Bi ◽  
Huabing Zhu ◽  
Jialin Zhan ◽  
Lei Zu ◽  
Yuxuan Bai ◽  
...  

Lithium iron phosphate (LFP) batteries contain metals, toxic electrolytes, organic chemicals and plastics that can lead to serious safety and environmental problems when they are improperly disposed of. The published literature on recovering spent LFP batteries mainly focuses on policy-making and conceptual design. The production line of recovering spent LFP batteries and its detailed operation are rarely reported. A set of automatic line without negative impact to the environment for recycling spent LFP batteries at industrial scale was investigated in this study. It includes crushing, pneumatic separation, sieving, and poison gas treatment processes. The optimum retaining time of materials in the crusher is 3 minutes. The release rate is the highest when the load of the impact crusher is 800 g. An air current separator (ACS) was designed to separate LFP from aluminium (Al) foil and LFP powder mixture. Movement behaviour of LFP powder and Al foil in the ACS were analysed, and the optimized operation parameter (35.46 m/s) of air current speed was obtained through theoretical analysis and experiments. The weight contents of an Al foil powder collector from vibrating screen-3 and LFP powder collector from bag-type dust collector are approximately 38.7% and 52.4%, respectively. The economic cost of full manual dismantling is higher than the recovery production line. This recycling system provides a feasible method for recycling spent LFP batteries.


Methods ◽  
2014 ◽  
Vol 66 (2) ◽  
pp. 162-167 ◽  
Author(s):  
R.J. Allen ◽  
D. Tsygankov ◽  
J.S. Zawistowski ◽  
T.C. Elston ◽  
K.M. Hahn
Keyword(s):  

2016 ◽  
Vol 840 ◽  
pp. 66-73
Author(s):  
Jürgen Fleischer ◽  
Fabian Ballier ◽  
Matthias Dietrich

The production and processing of fiber-reinforced plastics (FRP) is constantly increasing in industry. A commonly used method is resin transfer molding (RTM). FRP components are produced for large series by now. Therefore, the aspect of processing efficiency is becoming more and more important. The semi-finished product can be better exploited, for example, if large preforms were composed of single subpreforms. These subpreforms are easier to drape and can be produced within an automated line. Consequently, the necessary assembly of the subpreforms needs to be automated as well. This way, the process can be made time and resource efficient. The article that follows now will focus more closely on a concept that deals with the handling and subsequent assembling of subpreforms. Furthermore, the variables that can be adjusted for the assembly process are examined and their influence on the resulting connection quality is shown.


2020 ◽  
Vol 93 (2) ◽  
pp. 326-330 ◽  
Author(s):  
Ute Hoyer-Tomiczek ◽  
Gernot Hoch

Abstract Early detection of infestation by the emerald ash borer (EAB), Agrilus planipennis is extremely difficult; hence developing additional methods is desirable. We built on the successful use of canine scent detection for the invasive long-horned beetles Anoplophora glabripennis and Anoplophora chinensis and trained six dogs in detection of EAB. A first test series was performed to evaluate detection accuracy of five of these dogs. Seven different experimental settings were tested under single blind conditions: (1) forest nursery, (2) piles of firewood, (3) firewood on the ground, (4) ash logs on the ground, (5) old urban ash trees, (6) urban forest with ash trees and (7) natural forest with ash trees. In total, 214 positive samples were presented to the dogs, out of which 20 remained undetected. The experiments ascertained sensitivity (correct positives of all positives) ranging from 73.3 to 100 percent and specificity (correct negatives of all negatives) from 88.9 to 99.8 percent in the tested settings. This initial study demonstrates that trained dogs are able to detect EAB scent from sources such as larval galleries in bark/wood, frass, living or dead larvae or dead dry beetles. The numbers of tested dogs and test series were limited, and further studies are needed to confirm the initial results. However, the preliminary findings demonstrate the potential of the method particularly for inspection of wood or plants at entry points.


2020 ◽  
Vol 14 (1) ◽  
pp. 22-26
Author(s):  
A. S. Dorokhov ◽  
M. A. Mosyakov ◽  
N. V. Sazonov

In the process of post-harvest processing of root crops and potatoes in Russia, mechanical sortings of various types are used, which allows to separate the material according to the size criterion and removing impurities. The main requirement for this equipment is to ensure the quality and reliability of technological processes for the impurities separation and the root crops separation into fractions with minimal damage. (Research purpose) To improve the quality of potato tubers sorting using an automated line for post-harvest processing of root crops and potatoes, which allows to reduce their damage and ensure high accuracy of separation into fractions by size. (Materials and methods) The authors studied the automated process of root crops post-harvest processing. They developed approaches and basic technical, technological and constructive solutions aimed at improving the efficiency of root crops and potatoes post-harvest processing. To automate the root crops and potatoes processing, the authors installed the universal web camera Logitech HD Pro C920. They created a basic block diagram of the electronic line system operation. (Results and discussion) The authors clarified the size and mass characteristics of potato tubers with a total weight of 38 356 grams of Nevsky variety of the 2019 harvest and their shape coefficient. They developed design documentation. An experimental line was prepared for potato tubers post-harvest sorting with an original circuit diagram of the electronic system operation. The authors substantiated its design and operational-technological parameters. Practical studies of the automated line work were carried out in the Ryazan region on the basis of the Institute of Seed Production and Agrotechnologies – a branch of the Federal Scientific Agroengineering Center VIM. (Conclusions) The authors determined that the developed automated line for root crops and potatoes post-harvest sorting thanks to digital technologies reduced labor costs by eliminating manual sorting, as well as improving the quality of potato tubers and the accuracy of sorting by size to 95-98 percent. It was revealed that damage to potato tubers did not exceed one percent.


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