optical sorting
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2022 ◽  
Vol 75 (1) ◽  
pp. 55-65
Author(s):  
Issam Rouaiguia ◽  
Mohamed Bounouala ◽  
Chiraz Abdelmalek ◽  
Abdelaziz Idres ◽  
Aissa Benselhoub

Nanoscale ◽  
2022 ◽  
Author(s):  
Tun Cao ◽  
Zhongming Wang ◽  
Libang Mao

Up-to-date particle sieving schemes face formidable challenges for sieving label-free submicron molecules with similar size and dielectric constant but diverse shapes. Herein, optical sorting of polystyrene particles with the various...


2021 ◽  
pp. 2100402
Author(s):  
Kazi Safkat ◽  
Masudur Rahim ◽  
M.R.C. Mahdy
Keyword(s):  

2021 ◽  
Author(s):  
Libang Mao ◽  
Meng Lian ◽  
Jingyuan Jia ◽  
Ying Su ◽  
Haonan Haonan ◽  
...  
Keyword(s):  

2021 ◽  
Author(s):  
Bojian Shi ◽  
Yongyin Cao ◽  
Tongtong Zhu ◽  
Hang Li ◽  
Yanxia Zhang ◽  
...  

2021 ◽  
Author(s):  
Alexandra Győrfi ◽  
Csaba Leitol

Abstract In the sorting plant examined during the research, the sorting of the selectively collected mixed packaging waste is done by hand. Studies were performed on the quantitative changes of the waste stream entering and leaving the sorting plant, the composition properties according to the particle size, and lastly the number of pickings. The amount of incoming waste has increased linearly over the years. The sizes preferred by the optical separators were the guideline during the measurements. Sixty percentage of all incoming waste falls in the ideal range of 70–350 mm, 20% in the range of <70 mm and 20% in the range of >350 mm. Because there are significant differences in composition and quantities as the seasons and months alternate, these results provide important information for engineers designing a mechanized technology.


2021 ◽  
pp. 2100299
Author(s):  
Saikat Chandra Das ◽  
Mahdy Rahman Chowdhury Mahdy ◽  
Md Shariful Islam ◽  
Rafsan Jani ◽  
Md Shahadat Bhuiyan
Keyword(s):  

2021 ◽  
Vol 1 ◽  
pp. 81-90
Author(s):  
John Bake Sakwe ◽  
Marcus Pereira Pessoa ◽  
Sipke Hoekstra

AbstractWith the quest for enhancing competitive position, fulfilling customer and sustainability demands, increasing profitability, asset manufacturing companies are now adapting assets towards product service systems (PSS) offered through performance contracts. Despite several benefits, the shift to performance PSS exposes industrial asset manufacturers' to performance challenges and risks. Currently, PSS designers face a challenge to exhaustively identify potential failures during PSS development. Knowledge of Product failures is critical prior to the engineering of PSS. This paper proposes a failure modes and effects analysis (FMEA) method to support designers' prioritise critical failures in performance PSS development. A case study of an optical sorting machine is used to demonstrate the method's application.


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