1. Multi-response Characteristics Optimization of a Paper-based Composite using Taguchi Method and Particle Swarm Optimization.
- Author
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Pangestu, Phengky, Ayun, Azizah Hadny Qurrota, Wulandari, Rizca Tri, Nabilah, Ekty, and Pujiyanto, Eko
- Subjects
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PARTICLE swarm optimization , *TAGUCHI methods , *PAPER pulp , *BENDING strength , *TENSILE strength , *ORTHOGONAL arrays , *DATA entry , *RESPONSE surfaces (Statistics) - Abstract
Our dependency on wood has reduced the number of forests, especially in Indonesia. Hence, many people tried to use another material as a replacement for wood. One of them is composite. Department of Industrial Engineering Universitas Sebelas Maret has developed paperbased composite using newspaper waste in Praktikum Perancangan Teknik Industri (PPTI) II. Unfortunately, the quality of the composite is not so good. Some of the composites are broken when dried up below the sunlight, so we have to do some reworks. Besides, based on historical data, the average tensile, bending, and impact strength of composites in the last practicum are 0, 42 N/mm2, 2,68 N/mm2, and 0,0203 J/mm2. It is still below the Indonesian National Standard (SNI) of particleboard. This paper tried to understand the effect of factors on responses and discover the best combination of factors to obtain the best responses. The responses of this experiment are tensile strength, bending strength and impact value. The factors of this experiment are paper pulp, PVAc glue and water. Taguchi method is used to find the appropriate orthogonal array and Particle Swarm Optimization method to find the optimum combination of the factors. The orthogonal array used in this experiment is L9 (34). Through analysis, all of the factors are significant to tensile and bending strength, but they are not significant to impact value. The best combination of factors is 175 grams paper pulp, 130 grams PVAc glue and 175 ml water. Optimum results obtained for tensile strength of 0.7595 N/mm2 and bending strength of 4.8411 N/mm2. [ABSTRACT FROM AUTHOR]
- Published
- 2020
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