Al-Khwarizmi Engineering Journal,
Vol.5, No. 1 (2009)
The Optimum Conditions for Production of Soya Peptone by Acidic Hydrolysis of Soya Proteins
This study was carried out to obtain the optimum conditions necessary for the process of soya protein hydrolysis by using hydrochloric acid (as a chemical catalyst) instead of the papain enzyme (as a biological catalyst), for the production of soya peptone. These conditions are implemented to test the effect of the variables of the process of hydrolysis on the nature and quality of the product. The production of soya peptone was studied for their importance in the process of preparing and producing the culture media used in medical and microbiological laboratories.
Khalid W. Hameed
Anees Abdullah Khadom
Mass Transfer Coefficient During Cathodic Protection of Low Carbon Steel in Seawater
The aim of this research is to calculate mass transfer coefficient, kd, during cathodic protection of low carbon steel in neutral seawater (3.5% W/V NaCl in distilled water with pH = 7). Two types of cathodic protection were used:
First: Sacrificial anode cathodic protection (SACP) were a pipeline of steel carrying seawater using zinc as a sacrificial anode and with variable temperatures ranged (0 – 45oC) and volumetric flow rate ranged (5 – 900 lit/hr). It was found that the kd increases with increasing temperature and volumetric flow rate of seawater, where kd ranged (0.24×10-6 – 41.6×10-6 m/s).
Investigation of Thermal Stress Distribution in Laser Spot Welding Process
Numerical Computations of Transonic Critical Aerodynamic Behavior of a Realistic Artillery Projectile
Nabeel K. Abid Al-Sahib
Hussam K. Abdul Ameer
Monitoring and Quality Control of Stud Welding
Ali Hussian Ali Al Timemy
Shetha K. Abid
Nebras H. Ghaeb
This paper presents a robust algorithm for the assessment of risk priority for medical equipment based on the calculation of static and dynamic risk factors and Kohnen Self Organization Maps (SOM). Four risk parameters have been calculated for 345 medical devices in two general hospitals in Baghdad. Static risk factor components (equipment function and physical risk) and dynamics risk components (maintenance requirements and risk points) have been calculated. These risk components are used as an input to the unsupervised Kohonen self organization maps. The accuracy of the network was found to be equal to 98% for the proposed system. We conclude that the proposed model gives fast and accurate assessment for risk priority and it works as promising tool for risk factor assessment for the service departments in large hospitals in Iraq.
Riyadh A.H. AL-Helali
Multidimensional Systolic Arrays of LMS Algorithm Adaptive (FIR) Digital Filters