Physical Properties of Electrodeposited Metals and Alloys. Quality Control and Testing Methods

2011 ◽  
pp. 335-373 ◽  
Author(s):  
Yuliy D. Gamburg ◽  
Giovanni Zangari
Keyword(s):  
Quality Control ◽  
Physical Properties ◽  
Metals And Alloys ◽  
Testing Methods

scholarly journals Comments on Thermal Physical Properties Testing Methods of Phase Change Materials

2013 ◽  
Vol 5 ◽  
pp. 695762 ◽  
Author(s):  
Jingchao Xie ◽  
Yue Li ◽  
Weilun Wang ◽  
Song Pan ◽  
Na Cui ◽  
...  
Keyword(s):  
Physical Properties ◽  
Phase Change ◽  
Phase Change Materials ◽  
Testing Methods ◽  
Thermal Physical Properties

Protocols for Developing and Testing Methods Applied to the Quality Control of Botanicals

2017 ◽  
pp. 197-208
Author(s):  
Mihaela Badea ◽  
Concetta Boniglia ◽  
Brunella Carratù ◽  
Remigius Chizzola ◽  
Chlodwig Franz ◽  
...  
Keyword(s):  
Quality Control ◽  
Testing Methods

Structural Alloys

1983 ◽  
pp. 371-411 ◽  
Author(s):  
H. I. McHenry
Keyword(s):  
Aluminum Alloys ◽  
Physical Properties ◽  
Stainless Steels ◽  
Material Selection ◽  
Selection Process ◽  
Austenitic Stainless Steels ◽  
General Information ◽  
Metals And Alloys ◽  
Mechanical And Physical Properties ◽  
Cryogenic Application

Abstract This chapter discusses the structural alloys being used for cryogenic applications in commercially significant quantities. It emphasizes the practical considerations involved in the material selection process and provides the information necessary to make preliminary selections of alloys most suitable for the intended cryogenic application. The chapter provides general information on a class or group of alloys, their representative mechanical and physical properties, and their fabrication characteristics. The materials covered are austenitic stainless steels, nickel steels, aluminum alloys, and other metals and alloys.

Ultrasonic Testing in 25 Minutes

2003 ◽  
Author(s):  
William E. Blum ◽  
Thomas Gryba¨ck
Keyword(s):  
Power Generation ◽  
Quality Control ◽  
Nondestructive Testing ◽  
Ultrasonic Testing ◽  
Basic Theory ◽  
Testing Methods ◽  
Advantages And Disadvantages ◽  
Basic Understanding ◽  
Fundamental Understanding ◽  
Nondestructive Testing Methods

Nondestructive Testing (AKA NDT, NDI, NDE) is an integral part of any power generation program. Ultrasonic Testing (UT) is one NDT method used to determine the integrity of materials and components. Managers, engineers, quality control personnel and others often require a fundamental understanding of the nondestructive testing methods used in their operations. This paper introduces basic theory, advantages and disadvantages, typical equipment and applications of ultrasonic testing. It is designed to give the reader a basic understanding of ultrasonic testing.

Improving the Accuracy of Electronic Moisture Meters for Runner-Type Peanuts

2013 ◽  
Vol 40 (1) ◽  
pp. 3-7
Author(s):  
M. C. Lamb ◽  
C. L. Butts ◽  
P. D. Blankenship
Keyword(s):  
Quality Control ◽  
Moisture Content ◽  
Physical Properties ◽  
Test Weight ◽  
Mathematical Function ◽  
Peanut Kernel ◽  
Calibration Equation ◽  
Post Harvest ◽  
Moisture Contents ◽  
Weight Data

ABSTRACT Runner-type peanut kernel moisture content (MC) is measured periodically during curing and post harvest processing with electronic moisture meters for marketing and quality control. MC is predicted for 250 g samples of kernels with a mathematical function from measurements of various physical properties. To examine the accuracy of the function used in the Dickey-john GAC2100 for measuring MC of runner-type peanuts, 421 samples were measured with the meter and compared to oven MC data subsequently determined using ASAE Standard S410.1. Peanut moisture content for the peanuts according to the meter averaged 19.1% with a SD of 15.4%. Oven moisture contents had a mean of 17.3% and a SD of 8.5%. Means were significantly different (P  =  0.001). A calibration equation was derived from capacitance, conductance, temperature, and test weight data provided by the meter and compared to oven MC data. Moisture contents calculated from the calibration equation had a 17.3% mean and an 8.5% SD equaling values for oven determined moisture contents. Results of the study indicate that the accuracy of the meter in predicting moisture content can be improved considerably utilizing currently collected data and the derived calibration equation developed.

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