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Abstract

Optimization of Processing Parameters of Compression Molding Process by Application of Taguchi and Minitab †

by
Usha Kiran Sanivada
1,2,*,
Francisco P. Brito
2,3,
Inês P. Moreira
1,4 and
Raul Fangueiro
1,4
1
Fibrenamics—Institute of Innovation in Fiber-Based Materials and Composites, Azurém Campus, 4800-058 Guimarães, Portugal
2
Department of Mechanical Engineering, Azurém Campus, University of Minho, 4800-058 Guimarães, Portugal
3
Centre for Mechanical Technology and Automation (TEMA), DEM, University of Aveiro, Campus of Santiago, 3810-193 Aveiro, Portugal
4
Centre for Textile Science and Technology (2C2T), Azurém Campus, University of Minho, 4800-058 Guimarães, Portugal
*
Author to whom correspondence should be addressed.
Presented at the Materiais 2022, Marinha Grande, Portugal, 10–13 April 2022.
Published: 23 May 2022
(This article belongs to the Proceedings of MATERIAIS 2022)
A tremendous amount of research is going on to improve the properties of the green composites to compete with conventional composites. Processing parameters play a crucial role in achieving the desired mechanical performance. Henceforth, a study was carried out by using the Taguchi technique to optimize the different processing parameters, such as temperature, pressure, and time to be used in the compression moulding of a green composite using PLA polymer and jute woven fabric as reinforcement. This study focuses on obtaining the best possible combination of processing parameters in order to produce a composite with optimal mechanical performance. An analysis was performed by Minitab software using the Taguchi technique to study the influence of the processing parameters on the mechanical performance of the composite. S/N ratios were calculated using the following equation [1].
S N   = 10   L o g 1 n   i = 1 n 1 y i 2
The composites were prepared by using the combinations of processing parameters obtained from Minitab L9 orthogonal array. The samples were then subjected to tensile tests according to the ASTMD standards. The ranks from response tables indicated that temperature is the most influential parameter, followed by pressure and time and displayed that temperature at level 2, and pressure and time at level 1 were the optimised parameters. The contribution percentages were calculated based on the analysis of variance and found out to be 71%, 26%, and 3% for temperature, pressure, and time, respectively. The analysis from Minitab suggested that the optimized parameters would be 180 °C, 30 bar, and 5 min to obtain the composite with optimal tensile strength. However, this set of parameters is not available in the orthogonal array, so the future steps for this study would be to experimentally validate the results from Minitab.

Author Contributions

Conceptualization, U.K.S. and F.P.B.; methodology, U.K.S.; software, U.K.S.; formal analysis, U.K.S. and F.P.B.; investigation, U.K.S.; resources, U.K.S. and I.P.M.; data curation, U.K.S. and I.P.M.; writing—original draft preparation, U.K.S.; writing—review and editing, I.P.M. and R.F.; supervision, R.F.; project administration, R.F.; funding acquisition, R.F. All authors have read and agreed to the published version of the manuscript.

Funding

The authors acknowledge LH4AUTO POCI-01-0247-FEDER-049652 for supporting the research.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

Reference

  1. Mohsin, I.; He, K.; Li, Z.; Zhang, F.; Du, R. Optimization of the Polishing Efficiency and Torque by Using Taguchi Method and ANOVA in Robotic Polishing. Appl. Sci. 2020, 10, 824. [Google Scholar] [CrossRef] [Green Version]
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MDPI and ACS Style

Sanivada, U.K.; Brito, F.P.; Moreira, I.P.; Fangueiro, R. Optimization of Processing Parameters of Compression Molding Process by Application of Taguchi and Minitab. Mater. Proc. 2022, 8, 31. https://0-doi-org.brum.beds.ac.uk/10.3390/materproc2022008031

AMA Style

Sanivada UK, Brito FP, Moreira IP, Fangueiro R. Optimization of Processing Parameters of Compression Molding Process by Application of Taguchi and Minitab. Materials Proceedings. 2022; 8(1):31. https://0-doi-org.brum.beds.ac.uk/10.3390/materproc2022008031

Chicago/Turabian Style

Sanivada, Usha Kiran, Francisco P. Brito, Inês P. Moreira, and Raul Fangueiro. 2022. "Optimization of Processing Parameters of Compression Molding Process by Application of Taguchi and Minitab" Materials Proceedings 8, no. 1: 31. https://0-doi-org.brum.beds.ac.uk/10.3390/materproc2022008031

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