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Rahayu Mekar Bisono

Malang State Polytechnic (PSDKU) Kediri

Author-ID : 3643989

Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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Articles

1

Optimization Multi Response on Electrical Discharge Machining Sinking Process Using Taguchi-Grey-Fuzzy Methods Rahayu Mekar Bisono; Rifky Maulana Yusron
International Journal of Science, Engineering, and Information Technology Vol 4, No 2 (2020): IJSEIT Volume. 04 Issue. 02 JULY 2020
Publisher : Universitas Trunojoyo Madura

Electronic Discharge Machining (EDM) sinking applied widely in advance material manufacturing, every process parameter will count on this company. Their performance evaluated by some parameters such as surface roughness and tool wear ratio. Then they will be a dependent variable on this research. Independent variables on this research are electrode polarization, gap voltage, duty factor and pulse current. Every variable has three levels, except electrode polarization has two levels. This research conducting using Taguchi matrix orthogonal L18 (21×33) methods. The aim of this experiment is to evaluate optimization parameter process on EDM sinking, using Taguchi-Grey-Fuzzy methods. Characteristics response optimal applied are ‘smaller better’ for surface response roughness and tool wear ratio. This research using DAC tool steel as work-piece. DAC is most widely used as die for aluminum and zinc die-casting. The aim of this research is finding contribution of variable in EDM sinking parameter. Result of this research show contribution from variable process to reduce variance total observed response simultaneously, in order are electrode polarization on 49,53%, gap voltage on 23,52%, duty factor on 5,45% and pulse current on 9,92%. From validated optimization in confirmation experiment, to conclude combination variable process optimal response value is electrode polarization on positive, gap voltage at 50V, duty factor at 0.5 and pulse current at 12A.

The Effect of Rias Banana Fiber Percentage as A Reinforcement of Polyester Matric Composite in The Efforts to Increase Waste Materials to Become a High Value Functional Material Rahayu Mekar Bisono; Zulfa Khalida; Nila Nurlina
International Journal of Science, Engineering, and Information Technology Vol 4, No 1 (2019): IJSEIT Volume. 04 Issue. 01 DECEMBER 2019
Publisher : Universitas Trunojoyo Madura

Along with the reduced use of metal in various materials, many new materials that have characteristics close to the metal have been developed for example in terms of tensile strength or other mechanical strength and have other advantages such as ease of manufacturing and low production costs. Composite is a material that is formed from a minimum of two materials and usually has different mechanical properties to get new properties that are better than the ingredients. Each composite produces different properties depending on the matrix filler, type of filler and reinforcing material used. Rias banana fiber and wood sawdust available in large quantities need to be utilized better, for example for composite materials. This research can facilitate development in other fields because it has criteria to reduce metal imports, increase local product content, and increase foreign exchange if the product is exported. This study also supports government programs to increase independence in making independent products. The results of this study indicate that variations in the composition of composites made from rias banana fiber and teak sawdust with an epoxy matrix affect the mechanical properties of the composite. Hardness value increases with increasing percentage of resin given. While the highest value of max strength is produced by composites with basic ingredients of 40% rias banana fiber, 20% teak sawdust and 40% epoxy. In this study it was concluded that the more resin given, the higher the composite hardness

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