In addition to prototyping, Powder Bed Fusion (PBF) AM processes have lately been more widely used to manufacture end-use parts. These changes lead to necessity of higher requirements to quality of a final product. Optimization of process parameters is one of the ways to achieve desired quality of a part.
In addition to prototyping, Powder Bed Fusion (PBF) AM processes have lately been more widely used to manufacture end-use parts. These changes lead to necessity of higher requirements to quality of a final product.
Optimization of process parameters is one of the ways to achieve desired quality of a part. Finite Element Method (FEM) and machine learning techniques are applied to evaluate and optimize AM process parameters. While FEM requires specific information, Powder Bed Fusion Machine Learning is based on big amounts of data. This paper provides a conceptual framework on combination of mathematical modelling and Machine Learning to avoid these issues.
Learn more about Powder Bed Fusion here
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Answer:
D. secured loan
Explanation:
"A secured loan is a loan backed by collateral"
[A. unsecured loan is a loan that doesn't require any type of collateral.]
[B. credit card ...no]
[C. property loan is a secured loan that is sanctioned keeping an asset as mortgage with the lender.]
[D. secured loan is a loan that is backed by collateral]
Answer:
retention ratio
Explanation:
Retention ration is the portion of net income retained by a firm to grow its business rather than being declared and paid as dividened.
When a company makes profit at the end of financial period, the company can either retain part of its earning for business expansion, declare part as dividends paid to shareholder or combine both.
Where a firm now reinvest the portion of the profit earned in itself, it is called retention ratio.
