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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Asmawi, Rosli
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (16/16 displayed)
- 2021Effect of Thermally Formed Alumina on Density of AlMgSi Alloys Extrudate Recycled Via Solid State Techniquecitations
- 2019Effect of Chip Treatment on Chip-Based Billet Densification in Solid-State Recycling of New Aluminium Scrapcitations
- 2019A review on direct hot extrusion technique in recycling of aluminium chipscitations
- 2017Parameter Optimization Of Natural Hydroxyapatite/SS316l Via Metal Injection Molding (MIM)citations
- 2016Solvent Debinding of MIM Parts in a Polystyrene-Palm Oil Based Binder Systemcitations
- 2016Characterization of Stainless Steel 316L Feedstock for Metal Injection Molding (MIM) Using Waste Polystyrene and Palm Kernel Oil Binder Systemcitations
- 2016Influences of Restaurant Waste Fats and Oils (RWFO) from Grease Trap as Binder on Rheological and Solvent Extraction Behavior in SS316L Metal Injection Moldingcitations
- 2015HOMOGENEITY CHARACTERISATION OF STAINLESS STEEL 316L FEEDSTOCK FOR WASTE POLYSTYRENE BINDER SYSTEM
- 2015Green Strength Optimization in Metal Injection Molding applicable with a Taguchi Method L9 (3) 4citations
- 2015Processability study of Natural Hydroxyapatite and SS316L via metal injection moldingcitations
- 2015Mechanical properties of SS316L and natural hydroxyapatite composite in metal injection molding
- 2015GREEN DENSITY OPTIMISATION WITH SUSTAINABLE SEWAGE FAT AS BINDER COMPONENTS IN SS316L FEEDSTOCK OF METAL INJECTION MOULDING PROCESS (MIM) BY TAGUCHI METHODcitations
- 2015Solvent debinding variables on leaching Fat, Oil and Grease (FOG) derivatives of green part stainless steel SS316L metal injection mouldingcitations
- 2015Characterization of Carbon Brush from Coconut Shell for Railway Applicationcitations
- 2014Mixing and Characterisation of Stainless Steel 316L Feedstock for Waste Polystyrene Binder System in Metal Injection Molding (MIM)citations
- 2014Mixing Study of Aluminium Waste as Metal Powder for Waste Polystyrene Binder System in Metal Injection Molding (MIM)citations
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article
Green Strength Optimization in Metal Injection Molding applicable with a Taguchi Method L9 (3) 4
Abstract
Recently Metal injection molding is selected as a vital process in producing large amount of small part with complex geometry and intricate shape. This process is lead to solve cost effective issue in manufacturing fields. Feedstock composition behavior categorized as one of impact factor in determines the victories in metal injection molding process. Thus this paper is focused on optimizing the strength of green part by applied Taguchi Method L9 (34) as optimization tools during injection process. The composition of feedstock is 55% powder loading (PL) were injected by injection molding machine .Several injection parameter were optimized such as injection temperature (A), barrel temperature (B), injection pressure (C) and Speed (D) The results analyzed by using Signal to Noise Ratio (S/N ratio) terms. The highest green strength is A2, B2, C2, and D2