Evaluation Of Refrigerating Load And Air Flow Performance In Air Conditioning Unit at Hospital Z

This research was conducted to evaluate air conditioning systems in pharmaceutical warehouses against the ANSI/ASHRAE/ASHE ventilation standards 170 – 2008 and SNI-03-6572-2001. The method used is to calculate the cooling load on the FCU (Fan Coil Unit) using the CLTD (Cooling Load Temperature Difference) method and calculate the External Static Pressure on the ducting system. The analysis is carried out by comparing the results of calculating the FCU requirements with the actual specifications that have been implemented. Furthermore, the measurement results of the existing room air condition are compared with the standards for pharmaceutical warehouse applications. The calculation results show that the pharmaceutical warehouse has a cooling load of 47,472.72 Btu/hr, and has an external static pressure of 123 Pa. While the selected FCU (Fan Coil Unit) has a capacity of 78,771 Btu/hr and a maximum external static pressure of 130 Pa with a rated airflow of 4000 m3/hr. After 9 years of use, it is known that the rated airflow has decreased by around 37% of the FCU capacity. Existing room air conditions obtained the extreme temperature and RH of 23.36°C and 72%, respectively

Parameter optimization in milling of glass fiber reinforced plastic (GFRP) using DOE-Taguchi method

Introduction: Optimization of machining parameters is essential for improving expected outcome of any machining operation. Case Description: The aim of this work is to find out optimum values of machining parameters to achieve minimal surface roughness during milling operation of GFRP. Discussion and Evaluation: In this machining operation speed, depth of cut and feed rate are considered as parameters affecting surface roughness and Design of Experiment (DOE)-Taguchi method tool is used to plan experiments and analyse results. Conclusion: Analysis of experimental results presents optimum values of these three parameters to achieve minimal surface roughness with speed as a major contributing factor. Speed—200 rpm, depth of cut—1.2 mm and feed—40 mm/min are an optimal combination of machining parameter to produce minimal surface roughness during milling of GFRP

Multivariate statistical assessment of heavy metal pollution sources of groundwater around a lead and zinc plant

<p>Abstract</p> <p>The contamination of groundwater by heavy metal ions around a lead and zinc plant has been studied. As a case study groundwater contamination in Bonab Industrial Estate (Zanjan-Iran) for iron, cobalt, nickel, copper, zinc, cadmium and lead content was investigated using differential pulse polarography (DPP). Although, cobalt, copper and zinc were found correspondingly in 47.8%, 100.0%, and 100.0% of the samples, they did not contain these metals above their maximum contaminant levels (MCLs). Cadmium was detected in 65.2% of the samples and 17.4% of them were polluted by this metal. All samples contained detectable levels of lead and iron with 8.7% and 13.0% of the samples higher than their MCLs. Nickel was also found in 78.3% of the samples, out of which 8.7% were polluted. In general, the results revealed the contamination of groundwater sources in the studied zone. The higher health risks are related to lead, nickel, and cadmium ions. Multivariate statistical techniques were applied for interpreting the experimental data and giving a description for the sources. The data analysis showed correlations and similarities between investigated heavy metals and helps to classify these ion groups. Cluster analysis identified five clusters among the studied heavy metals. Cluster 1 consisted of Pb, Cu, and cluster 3 included Cd, Fe; also each of the elements Zn, Co and Ni was located in groups with single member. The same results were obtained by factor analysis. Statistical investigations revealed that anthropogenic factors and notably lead and zinc plant and pedo-geochemical pollution sources are influencing water quality in the studied area.</p