Assessment of Statistical Signification of Factors by Machining Inhomogeneous Materials – WPC

Jozef Zajac; Zuzana Hutyrová; Adriana Tarasovičová

doi:10.4028/www.scientific.net/AMM.308.165

Paper Titles

Design of Methodology for Wood Chips Moisture Evaluation
p.141

Analysis of the Influence of Chemical Content and Microstructure on the Features of Creep-Resisting Steel as the Basis for the Diagnostics, Prediction and Elimination of Fault States of Manufacturing Systems
p.147

Monitoring of Operating Conditions of Biomass Combustion Process
p.153

Air Quality Improvement by Reduction of Gas Turbines Emissions
p.159

Assessment of Statistical Signification of Factors by Machining Inhomogeneous Materials – WPC
p.165

Verification of Machine Position in Production Plant with Use of Virtual Reality Technology
p.171

Visual Reconstruction and Optimization of Real Workplace on the Base of Spatial Digitisation
p.175

Experimental Determination of the Aluminium Thin Sheets Diameter to a Sheet Thickness of 1.5 mm for Two-Cylinder Bending Machine
p.179

Assesment of Material Flow in Foundry Production by Applying Simulation Analysis
p.185

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 308Assessment of Statistical Signification of Factors...

Assessment of Statistical Signification of Factors by Machining Inhomogeneous Materials – WPC

Abstract:

The articles deals with the problem of the evaluation of the input parameters influence on the output variables after the machining of the heterogeneous materials. During the turning, the change of the cutting speed, feed (at the invariable depth of the cut) and their mutual interaction has an influence on the final micro-geometric characteristics of the machined area (Rz – maximum roughness depth, Ra – roughness average). The evaluation of the influence (statistical significance) of these set variables is possible to perform via the analytical device tool (Analysis Of VAriance) – two way with replication.

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Periodical:

Applied Mechanics and Materials (Volume 308)

Pages:

165-169

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.308.165

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Online since:

February 2013

Authors:

Jozef Zajac, Zuzana Hutyrová, Adriana Tarasovičová

Keywords:

Machining of Inhomogeneous Materials, Variance Analysis (ANOVA), Wood Plastic Composite (WPC)

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References

[1] J. E. Gordon, The new Science of Strong Materials (or why don`t fall through the floor), second ed., Princeton University Press, New York, (1984).

Google Scholar

[2] J. Chajdiak, Štatistické úlohy a ich riešenie v exceli, Statis, Bratislava, (2005).

Google Scholar

[3] Information on http: /www. ncsu. edu/wmtrp/publications/15IWMS_buehlmann. pdf.

Google Scholar