dc.contributor.author |
Botha, Natasha
|
|
dc.contributor.author |
Coetzer, R
|
|
dc.contributor.author |
Inglis, H
|
|
dc.contributor.author |
Labuschagne, J
|
|
dc.date.accessioned |
2021-02-17T17:39:36Z |
|
dc.date.available |
2021-02-17T17:39:36Z |
|
dc.date.issued |
2020-11 |
|
dc.identifier.citation |
Botha, N., Coetzer, R., Inglis, H. & Labuschagne, J. 2020. Understanding the influence of manufacturing and material parameters on the mechanical properties of polymerclay composites: An exploratory statistical analysis. http://hdl.handle.net/10204/11779 . |
en_ZA |
dc.identifier.isbn |
978-0-7354-4019-7 |
|
dc.identifier.uri |
http://hdl.handle.net/10204/11779
|
|
dc.description.abstract |
Polymers are used in various industrial applications due to their ease of production, light weight and ductility. Adding fillers, such as clays, improves a range of thermo-mechanical properties, however manufacturing parameters may have an influence on the composite system. This paper provides a statistical analysis on a set of previously obtained experimental tensile data with various clay fillers added to high density polyethylene (HDPE). The composite material was compounded using an extrusion process and manufactured into tensile test samples by means of hot pressing. Various manufacturing parameters (number of extrusions, press time, sample cooling method), material (polymer grade, clay type, clay weight loading) and testing parameters (strain rate) were investigated to determine their influence on the mechanical properties, specifically strength (ultimate tensile strength) and ductility (percentage elongation at failure), of the composite system. The results showed wide variability, necessitating a statistical approach. The statistical analysis concluded that all parameters, except for press time, have a statistically significant influence on the mechanical properties of interest. The conclusions and insights gained from these analyses will be used to inform a statistical design of experiments to quantify the manufacturing variability and reliability in future work. |
en_US |
dc.format |
Fulltext |
en_US |
dc.language.iso |
en |
en_US |
dc.relation.uri |
https://doi.org/10.1063/5.0028759 |
en_US |
dc.relation.uri |
https://aip.scitation.org/doi/abs/10.1063/5.0028759 |
en_US |
dc.source |
AIP Conference Proceedings 2289, 020061 (2020), Pretoria, South Africa, 30 November 2020 |
en_US |
dc.subject |
Manufacturing |
en_US |
dc.subject |
Polymers |
en_US |
dc.subject |
Statistical analysis |
en_US |
dc.subject |
Polymer composites |
en_US |
dc.title |
Understanding the influence of manufacturing and material parameters on the mechanical properties of polymerclay composites: An exploratory statistical analysis |
en_US |
dc.type |
Conference Presentation |
en_US |
dc.description.pages |
5pp |
en_US |
dc.description.note |
© 2020 Author(s). This is the fulltext version of the work. |
en_US |
dc.description.cluster |
Next Generation Enterprises & Institutions |
|
dc.description.impactarea |
Design & Optimisation |
|
dc.identifier.apacitation |
Botha, N., Coetzer, R., Inglis, H., & Labuschagne, J. (2020). Understanding the influence of manufacturing and material parameters on the mechanical properties of polymerclay composites: An exploratory statistical analysis. http://hdl.handle.net/10204/11779 |
en_ZA |
dc.identifier.chicagocitation |
Botha, Natasha, R Coetzer, H Inglis, and J Labuschagne. "Understanding the influence of manufacturing and material parameters on the mechanical properties of polymerclay composites: An exploratory statistical analysis." <i>AIP Conference Proceedings 2289, 020061 (2020), Pretoria, South Africa, 30 November 2020</i> (2020): http://hdl.handle.net/10204/11779 |
en_ZA |
dc.identifier.vancouvercitation |
Botha N, Coetzer R, Inglis H, Labuschagne J, Understanding the influence of manufacturing and material parameters on the mechanical properties of polymerclay composites: An exploratory statistical analysis; 2020. http://hdl.handle.net/10204/11779 . |
en_ZA |
dc.identifier.ris |
TY - Conference Presentation
AU - Botha, Natasha
AU - Coetzer, R
AU - Inglis, H
AU - Labuschagne, J
AB - Polymers are used in various industrial applications due to their ease of production, light weight and ductility. Adding fillers, such as clays, improves a range of thermo-mechanical properties, however manufacturing parameters may have an influence on the composite system. This paper provides a statistical analysis on a set of previously obtained experimental tensile data with various clay fillers added to high density polyethylene (HDPE). The composite material was compounded using an extrusion process and manufactured into tensile test samples by means of hot pressing. Various manufacturing parameters (number of extrusions, press time, sample cooling method), material (polymer grade, clay type, clay weight loading) and testing parameters (strain rate) were investigated to determine their influence on the mechanical properties, specifically strength (ultimate tensile strength) and ductility (percentage elongation at failure), of the composite system. The results showed wide variability, necessitating a statistical approach. The statistical analysis concluded that all parameters, except for press time, have a statistically significant influence on the mechanical properties of interest. The conclusions and insights gained from these analyses will be used to inform a statistical design of experiments to quantify the manufacturing variability and reliability in future work.
DA - 2020-11
DB - ResearchSpace
DP - CSIR
J1 - AIP Conference Proceedings 2289, 020061 (2020), Pretoria, South Africa, 30 November 2020
KW - Manufacturing
KW - Polymers
KW - Statistical analysis
KW - Polymer composites
LK - https://researchspace.csir.co.za
PY - 2020
SM - 978-0-7354-4019-7
T1 - Understanding the influence of manufacturing and material parameters on the mechanical properties of polymerclay composites: An exploratory statistical analysis
TI - Understanding the influence of manufacturing and material parameters on the mechanical properties of polymerclay composites: An exploratory statistical analysis
UR - http://hdl.handle.net/10204/11779
ER - |
en_ZA |
dc.identifier.worklist |
24069 |
en_US |