Published 1984 | Version v1
Book

Multidimentional regression equations for forecasting particle size of tungsten powder

  • 1. Hard Metals Research Institute, Zhuzhou Cemented Carbide Works, Hunan

Description

In order to control quantitatively the particle size of tungsten powder, it is favourable to establish the multidimensional regression equations of particle size of tungsten powder for the parameters of the reduction process. This paper has made an attempt at establishing the multidimensional regression equations so as to resolve the controlling of the particle size of the fine tungsten powder

Additional details

Publishing Information

Publisher
American Powder Metallurgy Institute.
Imprint Place
Princeton, NJ (USA)
ISBN
0-918404-64-9
Imprint Title
Modern developments in powder metallurgy
Journal Page Range
p. 33-50.

Conference

Title
International powder metallurgy conference.
Dates
17-22 Jun 1984.
Place
Toronto (Canada).

INIS

Country of Publication
United States
Country of Input or Organization
United States
INIS RN
18026851
Subject category
S36: MATERIALS SCIENCE;
Resource subtype / Literary indicator
Conference
Descriptors DEI
EQUATIONS; PARTICLE SIZE; POWDER METALLURGY; POWDERS; REDUCTION; REGRESSION ANALYSIS; TUNGSTEN
Descriptors DEC
CHEMICAL REACTIONS; ELEMENTS; MATHEMATICS; METALLURGY; METALS; SIZE; STATISTICS; TRANSITION ELEMENTS