Elucidating the influences of torque and energy in determining optimal loading

التفاصيل البيبلوغرافية
العنوان: Elucidating the influences of torque and energy in determining optimal loading
المؤلفون: Marina Marzuki, Rosliza Sauti, Nooraizedfiza Zainon, Mohd Afian Omar
المصدر: Materials Today: Proceedings. 16:2144-2152
بيانات النشر: Elsevier BV, 2019.
سنة النشر: 2019
مصطلحات موضوعية: 010302 applied physics, Materials science, Magnesium, Relative viscosity, Mixing (process engineering), chemistry.chemical_element, 02 engineering and technology, Raw material, 021001 nanoscience & nanotechnology, 01 natural sciences, Viscosity, Metal injection molding, chemistry, Paraffin wax, 0103 physical sciences, High-density polyethylene, Composite material, 0210 nano-technology
الوصف: Critical solid loading is a composition where the particles are tightly packed without external pressure and the binder filled the entire spaces and voids between the particles. The aims of this study is to determine the critical powder volume concentration (CPVC) and to investigate the influence of the different powder loadings, mixing behavior and energy for magnesium metal injection molding feedstock. The present mixing study was conducted for magnesium (Mg) powder with different compositions of binder consist of paraffin wax (PW), high density polyethylene (HDPE), and stearic acid (SA). The result showed CPVC of Mg powder obtained was 69 vol.%. Result reveals that an increasing in the ratio of powder-binder will disturb the viscosity of the feedstock. The relative viscosity increased with increasing the powder loading and approach to infinite near to the critical solid loading. Besides, the processing temperature, totalized torque (TTQ) and energy involved in the mixing process also increased as powder loading increased.
تدمد: 2214-7853
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::262a53fc2f48b91f612896ef7f3b9254
https://doi.org/10.1016/j.matpr.2019.06.104
حقوق: CLOSED
رقم الأكسشن: edsair.doi...........262a53fc2f48b91f612896ef7f3b9254
قاعدة البيانات: OpenAIRE