Temperature-dependent optical material properties of polymer powders regarding in-situ measurement techniques in additive manufacturing

2018 ◽  
Vol 71 ◽  
pp. 378-383 ◽  
Author(s):  
M. Heinl ◽  
T. Laumer ◽  
F. Bayer ◽  
T. Hausotte
Keyword(s):  
Additive Manufacturing ◽  
Material Properties ◽  
Measurement Techniques ◽  
In Situ Measurement ◽  
Optical Material ◽  
Temperature Dependent ◽  
Polymer Powders

Characterization of temperature-dependent optical material properties of polymer powders

2015 ◽  
Author(s):  
Tobias Laumer ◽  
Thomas Stichel ◽  
Thomas Bock ◽  
Philipp Amend ◽  
Michael Schmidt
Keyword(s):  
Material Properties ◽  
Optical Material ◽  
Temperature Dependent ◽  
Polymer Powders

In situ measurement of temperature dependent picosecond resolved carrier dynamics in near infrared (NIR) sensitive device on action

2019 ◽  
Vol 90 (4) ◽  
pp. 043909 ◽  
Author(s):  
Jayita Patwari ◽  
Arka Chatterjee ◽  
Hemant Ghadi ◽  
Hemant Sharma ◽  
Subhananda Chakrabarti ◽  
...  
Keyword(s):  
Near Infrared ◽  
Carrier Dynamics ◽  
In Situ Measurement ◽  
Temperature Dependent

scholarly journals Effects of Material Properties on Angular Distortion in Wire Arc Additive Manufacturing: Experimental and Computational Analyses

Materials ◽  
2020 ◽  
Vol 13 (6) ◽  
pp. 1399
Author(s):  
Sang-Cheol Park ◽  
Hee-Seon Bang ◽  
Woo-Jae Seong
Keyword(s):  
Additive Manufacturing ◽  
Material Properties ◽  
Heat Input ◽  
Coefficient Of Thermal Expansion ◽  
Angular Distortion ◽  
Substrate Thickness ◽  
Deformation Characteristics ◽  
Temperature Dependent ◽  
Temperature Dependent Properties ◽  
Wire Arc Additive Manufacturing

In wire arc additive manufacturing (AM), as in arc welding, arc heat thermally deforms substrates and articles. For industrial applications, deformation characteristics of various materials must be understood and appropriate materials and methods of reducing deformation must be devised. Therefore, angular distortions of different materials were investigated through bead-on-plate welding and finite element analysis. A model that simplifies temperature-dependent properties was developed to establish relationships between thermomechanical properties and angular distortion. A simplified model of temperature-dependent properties was used, and angular distortion characteristics were extensively investigated for different material properties and heat inputs. Coefficient of thermal expansion, density, and specific heat all notably affected angular distortion depending on heat input conditions. Results showed that during wire arc AM, flatness of both substrates and articles could vary depending on material properties, heat input, substrate thickness, and bead accumulation. Study findings can provide insight into deformation characteristics of new materials and how to mitigate thermal distortions.

Water Resource Management

2022 ◽  
pp. 197-218
Author(s):  
Satya Prakash ◽  
Pinakana Sai Deepak
Keyword(s):  
Big Data ◽  
Resource Management ◽  
Water Resource ◽  
Water Resource Management ◽  
Satellite Images ◽  
Measurement Techniques ◽  
Satellite Image ◽  
Quality Parameters ◽  
In Situ Measurement

Water is an essential component for the survival of mankind and for balancing the ecosystem and livelihood. The world is experiencing a scarcity of water, both in terms of quality and quantity. Although there are several in-situ measurement techniques, they seem insufficient for large areas involving several parameters. Analysis of satellite images for estimating the quality and quantity of natural water has become an accepted tool for better spatial planning. With the increase in variety, volume, and velocity of satellite image, a tool for faster and accurate processing of the data is needed. Google Earth Engine (GEE) is one such cloud-based geo-big data platform. This chapter reviews the work of several researchers worldwide who have used and demonstrated the capability of satellite images with other geo-big data such as elevation, landcover, etc. for water resource management on the GEE platform. It can be concluded from the review work that GEE can help in estimating the water quality parameters with reasonable accuracy, comparable to the in-situ measurement, albeit quickly.

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