Fundamentals of Air Cleaning Technology and Its Application by Zhonglin Xu
By Zhonglin Xu
Fundamentals of Air cleansing know-how and Its software in Cleanrooms units up the theoretical framework for cleanrooms. New principles and strategies are provided, which come with the attribute index of cleanrooms, uniform and non-uniform distribution features, the minimal sampling quantity, a brand new notion of outside air-con and the basics of leakage-preventing layers. Written by means of an writer who can glance again on significant medical achievements and 50 years of expertise during this box, this ebook bargains a concise and obtainable advent to the basics of air cleansing expertise and its program. The paintings is meant for researchers, university academics, graduates, designers, technicians and company R&D group of workers within the box of HVAC and air cleansing technology.
Zhonglin Xu is a senior study fellow at China Academy of creating Research.
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3 % mentioned before, and usually it is 60 %. The concentration degree will be higher when it reaches 70–80 %. 5 Application of Lognormal Distribution If particle size distribution follows the lognormal distribution characteristic, logarithmic probability graph could be used to determine the concentration degree of particle sizes and various kinds of average diameter. 1 Determination of Concentration Degree If particle size distribution curve on the logarithmic probability graph is a straight line, particle size distribution will follow the lognormal distribution, which is shown in Fig.
4 Concentration Degree of Particle Size Distribution 40 35 Class 5 biological cleanroom with horizontal parallel flow (unidirectional flow-by author) (bacterial cultivation room) 30 20 Calculation 10 Measurement 0 Petri dish/# 20 0 1 2 3 Class 7 biological cleanroom with turbulent flow (powder filling room in pharmaceutical factory) Calculation 10 Measurement 0 0 20 1 2 3 4 Class 8 biological cleanroom (sterile laboratory ) 10 Measurement Calculation 0 0 1 2 3 4 5 6 Bacterial concentration/(CFU/#) 7 8 9 10 Fig.
3 Statistical Distribution of Particle Size A lot of data on particle size will be frequently obtained in the field of air cleaning technology. After sampled on chemical porous membrane, particles with various shapes could be visible with microscope. Different samples will be obtained even though they are sampled simultaneously. Although particles are distributed randomly on the membrane surface, useful “information” is embedded behind those disorderly data. If arrangement and analysis are performed on these data, useful “information” could be extracted fully and correctly, which could be used as the basis for technical measurement adopted in dust measures, dust proof, and dust control.