مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Verion
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

video

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

sound

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Version

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

View:

733
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Download:

0
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Cites:

Information Journal Paper

Title

THE PRIDICTION OF PARTICLEBOARD PROPERTIES WITH REGRESSION MODELS APPLICATION IN DIFFERENT CONDITION PRODUCTION

Pages

  1-11

Abstract

 The application of REGRESSIONs models for predicting physical and mechanical properties of laboratory produced PARTICLEBOARD was studies. In order to study the influence of MAT MOISTURE CONTENT GRADIENT, PARTICLE GEOMETRY, press time and temperature, 108 boards were produced.Regressions model indicated that PARTICLE GEOMETRY significantly influenced board MOR, increasing the slender ratio of particles, improved MOR. REGRESSIONs models of MOE indicated that both PARTICLE GEOMETRY and MAT MOISTURE CONTENT GRADIENT significantly influenced board MOE, and increasing the slender ratio of particles and MAT MOISTURE CONTENT GRADIENT, increased MOE. REGRESSION model of IB indicated that all of the variables have significantly affected IB. However, in this case, increasing MAT MOISTURE CONTENT GRADIENT, PARTICLE GEOMETRY reduced IB and press time and temperature increased IB, moisture content gradient and PARTICLE GEOMETRY had more effective.The results indicated that moisture content gradient and press time significantly influenced the REGRESSION model of thickness swelling after 24 hours soaking in cold water.

Cites

  • No record.

    • References

  • No record.

    • Cite

    APA: Copy

    KARGARFARD, A.A.F., DOUST HOSSEINI, K., & NOURBAKHSH, AMIR. (2008). THE PRIDICTION OF PARTICLEBOARD PROPERTIES WITH REGRESSION MODELS APPLICATION IN DIFFERENT CONDITION PRODUCTION. IRANIAN JOURNAL OF WOOD AND PAPER SCIENCE RESEARCH, 23(1 (28)), 1-11. SID. https://sid.ir/paper/109736/en

    Vancouver: Copy

    KARGARFARD A.A.F., DOUST HOSSEINI K., NOURBAKHSH AMIR. THE PRIDICTION OF PARTICLEBOARD PROPERTIES WITH REGRESSION MODELS APPLICATION IN DIFFERENT CONDITION PRODUCTION. IRANIAN JOURNAL OF WOOD AND PAPER SCIENCE RESEARCH[Internet]. 2008;23(1 (28)):1-11. Available from: https://sid.ir/paper/109736/en

    IEEE: Copy

    A.A.F. KARGARFARD, K. DOUST HOSSEINI, and AMIR NOURBAKHSH, “THE PRIDICTION OF PARTICLEBOARD PROPERTIES WITH REGRESSION MODELS APPLICATION IN DIFFERENT CONDITION PRODUCTION,” IRANIAN JOURNAL OF WOOD AND PAPER SCIENCE RESEARCH, vol. 23, no. 1 (28), pp. 1–11, 2008, [Online]. Available: https://sid.ir/paper/109736/en

    Related Journal Papers

    Related Seminar Papers

  • No record.

    • Related Plans

  • No record.

    • Recommended Workshops





    Move to top
    telegram sharing button
    whatsapp sharing button
    linkedin sharing button
    twitter sharing button
    email sharing button
    email sharing button
    email sharing button
    sharethis sharing button