Powder Coating Material

2016 ◽  
Author(s):  
2020 ◽  
Vol 26 (41) ◽  
pp. 5347-5352
Author(s):  
Guoliang Wang ◽  
Qing Liu ◽  
Ying Wang ◽  
Jingyuan Li ◽  
Yue Chen ◽  
...  

γ-Poly-glutamic acid (γ-PGA) is a naturally occurring homo-polyamide produced by various strains of Bacillus. As a biopolymer substance, γ-PGA possesses a few predominant features containing good water solubility, biocompatibility, degradability and non-toxicity. Based on this, γ-PGA can be used in pharmaceutical, such as drug carrier/deliverer, vaccine adjuvant, and coating material for microencapsulation, etc. Moreover, it has also been applied in a broad range of industrial fields including food, medicine, bioremediation, cosmetics, and agriculture. Especially, γ-PGA is an extremely promising food ingredient. In this mini-review, our aim is to review the function and application progress of γ-PGA in the food industry: e.g., improving taste and flavor, enhancing physical property, and promoting health.


2020 ◽  
Vol 12 (4) ◽  
pp. 1477
Author(s):  
Shahram Sheikhi ◽  
Eduard Mayer ◽  
Jochen Maaß ◽  
Florian Wagner

Implementing digitalization in the field of production represents a major hurdle for some small- and medium-sized enterprises (SMEs) due to the ensuing demands on employees and, in some cases, the significant financial investment required. The RobReLas research project has developed a system whose purpose is to enable an economical solution to this dilemma for SMEs in the field of automated, robot-based reconditioning of components. A laser scanner was integrated in the robot’s control. The data generated by the scanner are used to mathematically describe the virtual area of the surface to be laser-treated. The scanner recognizes the relevant area within the robot’s predefined work space by defining the maximum length and width of the relevant component. The system then automatically applies predefined and qualified repair strategies in the virtual area. Tests on nickel-based blades demonstrated the system’s economic potential, showing a reduction in reconditioning time of about 70% compared to the conventional reconditioning method. The main advantage of the system is the fact that a basic knowledge of operating robots is sufficient for the attainment of repeatable results. Further, no additional CAD/CAM workstations are required for implementation.


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