Print ISSN: 1681-6900

Online ISSN: 2412-0758

Keywords : modeling

Composition Design Modeling and Experimental Verification of (Co Ni Al) Shape Memory Alloys

M.N. Arbilei

Engineering and Technology Journal, 2018, Volume 36, Issue 1A, Pages 84-88
DOI: 10.30684/etj.2018.136782

The most important concepts to apply a shape memory alloy in many
industrial applications is the composition design that controls the
transformation temperatures. In this paper, two mathematical models were
created to predict the transformation temperatures for poly-crystalline (Co-Ni-
Al) alloys. The data that was depend on to find the relation between chemical
composition and transformation temperatures were concluded from previous
work and approved by preparing samples in investigation practically. Four
different alloys were prepared to verify this relation. It was indicated that the
best criteria that present the chemical composition is the (e/a) and make the
alloy applicable for different applications. These suggested chemical
compounds could be controlled and adjusted according to heat treatment time.

Sulfur Dioxide Removal in Coal Slurry Reactor

Neran K. Ibrahim; Zainab A. Jawad

Engineering and Technology Journal, 2008, Volume 26, Issue 4, Pages 462-477

The objective of this work was to study the feasibility of using coal
slurry for the removal of SO2 from simulated flue gas stream (air,
SO2). The effect of gas rate, temperature, and initial SO2
concentration on the overall removal efficiency was investigated at
wet and dry bed conditions. The results indicated that the optimum
gas rate was 60 l /min. The SO2 removal efficiency was highly
temperature sensitive, and increases with increasing the bed
temperature especially at wet bed conditions and decreases with
increasing SO2 initial concentration. A mathematical model for the
desulfurization process was proposed based on the material balance
for gaseous and solid phase streams. The model was found to give a
very good description of the experimental data with 95% confidence