Material selection of natural fibre using a stepwise regression model with error analysis
The nature of natural fibre such as it is lightweight, recyclable, biodegradable and gives a high performance in relation to its mechanical properties makes this material an excellent alternative to currently used materials in the manufacture of automotive components. The significant mechanical prop...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2019-05-01
|
| Series: | Journal of Materials Research and Technology |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2238785418311165 |
| _version_ | 1828454159474491392 |
|---|---|
| author | Muhammad Noryani Salit Mohd Sapuan Mohammad Taha Mastura Mohd Yusoff Moh Zuhri Edi Syams Zainudin |
| author_facet | Muhammad Noryani Salit Mohd Sapuan Mohammad Taha Mastura Mohd Yusoff Moh Zuhri Edi Syams Zainudin |
| author_sort | Muhammad Noryani |
| collection | DOAJ |
| description | The nature of natural fibre such as it is lightweight, recyclable, biodegradable and gives a high performance in relation to its mechanical properties makes this material an excellent alternative to currently used materials in the manufacture of automotive components. The significant mechanical properties are identified using the best statistical model suggested by stepwise regression in this study. The estimation and error analysis of the response variables are discussed to select the best natural fibre for automotive component applications. The results using statistical measurement indicate that tensile strength is the most significant mechanical property for all the selected natural fibres. The final ranking that considered high performance score and minimum error analysis for a hand-brake lever application found that coir, kenaf and cotton are the top three candidates with average scores of 4, 4.5 and 5, respectively. The statistical model presented in this study can be used in multiple applications. In fact, this approach is helpful to the design engineer when huge amounts data are involved. Keywords: Material selection, Natural fibre, Stepwise regression, Error analysis |
| first_indexed | 2024-12-11T00:17:20Z |
| format | Article |
| id | doaj.art-d0f0f6f5a21042de86a3f7025172ab6c |
| institution | Directory Open Access Journal |
| issn | 2238-7854 |
| language | English |
| last_indexed | 2024-12-11T00:17:20Z |
| publishDate | 2019-05-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of Materials Research and Technology |
| spelling | doaj.art-d0f0f6f5a21042de86a3f7025172ab6c2022-12-22T01:27:53ZengElsevierJournal of Materials Research and Technology2238-78542019-05-018328652879Material selection of natural fibre using a stepwise regression model with error analysisMuhammad Noryani0Salit Mohd Sapuan1Mohammad Taha Mastura2Mohd Yusoff Moh Zuhri3Edi Syams Zainudin4Advanced Engineering Materials and Composites Research Centre, Department of Mechanical and Manufacturing Engineering, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia; Faculty of Mechanical Engineering, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia; Centre of Advanced Research on Energy, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, MalaysiaAdvanced Engineering Materials and Composites Research Centre, Department of Mechanical and Manufacturing Engineering, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia; Laboratory of Biocomposite Technology, Institute of Tropical Forestry and Forest Products (INTROP), Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia; Corresponding author.Faculty of Mechanical and Manufacturing Engineering Technology, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, MalaysiaAdvanced Engineering Materials and Composites Research Centre, Department of Mechanical and Manufacturing Engineering, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, MalaysiaAdvanced Engineering Materials and Composites Research Centre, Department of Mechanical and Manufacturing Engineering, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, MalaysiaThe nature of natural fibre such as it is lightweight, recyclable, biodegradable and gives a high performance in relation to its mechanical properties makes this material an excellent alternative to currently used materials in the manufacture of automotive components. The significant mechanical properties are identified using the best statistical model suggested by stepwise regression in this study. The estimation and error analysis of the response variables are discussed to select the best natural fibre for automotive component applications. The results using statistical measurement indicate that tensile strength is the most significant mechanical property for all the selected natural fibres. The final ranking that considered high performance score and minimum error analysis for a hand-brake lever application found that coir, kenaf and cotton are the top three candidates with average scores of 4, 4.5 and 5, respectively. The statistical model presented in this study can be used in multiple applications. In fact, this approach is helpful to the design engineer when huge amounts data are involved. Keywords: Material selection, Natural fibre, Stepwise regression, Error analysishttp://www.sciencedirect.com/science/article/pii/S2238785418311165 |
| spellingShingle | Muhammad Noryani Salit Mohd Sapuan Mohammad Taha Mastura Mohd Yusoff Moh Zuhri Edi Syams Zainudin Material selection of natural fibre using a stepwise regression model with error analysis Journal of Materials Research and Technology |
| title | Material selection of natural fibre using a stepwise regression model with error analysis |
| title_full | Material selection of natural fibre using a stepwise regression model with error analysis |
| title_fullStr | Material selection of natural fibre using a stepwise regression model with error analysis |
| title_full_unstemmed | Material selection of natural fibre using a stepwise regression model with error analysis |
| title_short | Material selection of natural fibre using a stepwise regression model with error analysis |
| title_sort | material selection of natural fibre using a stepwise regression model with error analysis |
| url | http://www.sciencedirect.com/science/article/pii/S2238785418311165 |
| work_keys_str_mv | AT muhammadnoryani materialselectionofnaturalfibreusingastepwiseregressionmodelwitherroranalysis AT salitmohdsapuan materialselectionofnaturalfibreusingastepwiseregressionmodelwitherroranalysis AT mohammadtahamastura materialselectionofnaturalfibreusingastepwiseregressionmodelwitherroranalysis AT mohdyusoffmohzuhri materialselectionofnaturalfibreusingastepwiseregressionmodelwitherroranalysis AT edisyamszainudin materialselectionofnaturalfibreusingastepwiseregressionmodelwitherroranalysis |