Factors Determining Lumber Recovery in Sawmilling

Factors Determining Lumber Recovery in Sawmilling PDF Author: Philip H. Steele
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ISBN:
Category : Lumbering
Languages : en
Pages : 16

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Factors Determining Lumber Recovery in Sawmilling

Factors Determining Lumber Recovery in Sawmilling PDF Author: Philip H. Steele
Publisher:
ISBN:
Category : Lumbering
Languages : en
Pages : 16

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Factors Determining Lumber Recovery in Sawmilling

Factors Determining Lumber Recovery in Sawmilling PDF Author: Philip H. Steele
Publisher:
ISBN:
Category : Lumbering
Languages : en
Pages : 12

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Lumber Recovery of Douglas-fir from the Coast and Cascade Ranges of Oregon and Washington

Lumber Recovery of Douglas-fir from the Coast and Cascade Ranges of Oregon and Washington PDF Author: Susan Willits
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ISBN:
Category : Douglas fir
Languages : en
Pages : 40

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This report summarizes the results of lumber recovery studies at four sawmills in western Oregon and western Washington; two dimension mills, one grade mill, and one timber mill were included. Results from individual mills are reported and discussed. The four mills were also combined to approximate "average" conversion of logs to lumber for the region. Recovery information is presented by diameter and log grade for lumber volume, lumber grade, and lumber and log value.

Lumber Recovery from Second-growth Douglas-fir

Lumber Recovery from Second-growth Douglas-fir PDF Author: Thomas Daniel Fahey
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ISBN:
Category : Douglas fir
Languages : en
Pages : 26

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Lumber Recovery Studies of Alaska Sawmills, 1997 to 1999

Lumber Recovery Studies of Alaska Sawmills, 1997 to 1999 PDF Author: Kenneth A. Kilborn
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ISBN:
Category : Forests and forestry
Languages : en
Pages : 24

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Regional Softwood Sawmill Processing Variables as Influenced by Productive Capacity

Regional Softwood Sawmill Processing Variables as Influenced by Productive Capacity PDF Author: Philip H. Steele
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ISBN:
Category : Forest productivity
Languages : en
Pages : 16

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The relationship between annual softwood sawmill production and lumber processing variables was examined using data from Sawmill Improvement Program (SIP) studies of 650 softwood mills. The variables were lumber recovery factor (LRF); headrig and resaw kerf width; total sawing variation, rough green size, and oversizing-undersizing for 4/4 and 8/4 lumber; planer allowance; and average log diameter and length. All variables except planer allowance and average log diameter were significantly influenced by annual sawmill production. The conversion efficiency of the mills in terms of most of these variables increased as sawmill size increased but decreased at annual production levels approaching or exceeding 100 million board feet. Study sawmills were grouped by geographic region and annual production class. Weighted values of LRF, sawing, and resource variables were calculated for each region by weighting by the percentage of mills of that production class in each category. Weighted and mean values are presented for each annual production class by region.

Lumber Recovery from Ponderosa Pine in the Black Hills, South Dakota

Lumber Recovery from Ponderosa Pine in the Black Hills, South Dakota PDF Author: Marlin E. Plank
Publisher:
ISBN:
Category : Lumber
Languages : en
Pages : 20

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Softwood Sawmill Improvement Program

Softwood Sawmill Improvement Program PDF Author: Softwood Sawmill Improvement Program (U.S.)
Publisher:
ISBN:
Category : Sawmills
Languages : en
Pages : 114

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Evolution of Allowable Stresses in Shear for Lumber

Evolution of Allowable Stresses in Shear for Lumber PDF Author:
Publisher:
ISBN:
Category : Strains and stresses
Languages : en
Pages : 428

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General Technical Report FPL

General Technical Report FPL PDF Author:
Publisher:
ISBN:
Category : Forest products
Languages : en
Pages : 110

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