Measurement variability analysis for fermentation process assays

1995 ◽  
Vol 13 (5) ◽  
pp. 239-243 ◽  
Author(s):  
M. Dehghani ◽  
M. Bulmer ◽  
M. E. Gregory ◽  
N. F. Thornhill
Author(s):  
Francesco Aggogeri ◽  
Emanuele Barini ◽  
Raffaello Levi

Quality may be defined as a set of requirements a system should satisfy in order to meet customer’s needs. Control of these requirements assures satisfaction of relevant standards, and consequently the performance levels of a manufacturing/transactional stream. In this context it is fundamental to define control procedures and reliable measurement systems adequate for adopting improvement action as soon as anomalies and dysfunctions are detected. This paper deals with a study of measurement variability occurring during practical exploitation of CMMs (Coordinate Measuring Machines). These measurement systems are designed to probe selected points of workpiece surface, and compare the relevant coordinates or derived quantities with specified values; capability and versatility of CMMs justify their widespread use in industry. Evaluation of CMM measurement variability is however often awkward owing to a number of factors, such as e.g. measurement task, environment, operator and measurement procedures. A round robin exercise involving two industrial laboratories was planned in order to address these issues. Three typical machine tool parts were circulated among participants, who were asked to measure linear dimensions as well as tolerances at specified locations, according to an agreed upon schedule. Results of measurements, performed by experienced CMM industrial users, were analyzed in order to bring out discrepancies, and suggest remedial actions in the light of information gathered. Several factors involving metrological as well as other aspects were observed to cause major discrepancies, yielding in turn information on where to look for potential sources of trouble. Conclusions were drawn in terms of operating procedure, leading to improved information on origin and components of variability.


1980 ◽  
Author(s):  
N. K. Matthis ◽  
T. J. Morin ◽  
W. E. Thompson

2020 ◽  
Vol 4 (1) ◽  
Author(s):  
Moch Agus Choiron ◽  
Siti Azizah ◽  
Nafisah Arina Hidayati

Arjowilangun Village is a post-TKI village. People choose to become sheep farmers with less capital than being cattle farmers. Based on the previous discussion, waste management is required to ensure the sustainability of environment in Arjowilangun Village. Processing sheep and agricultural waste program is held by Doktor Mengabdi team. Farmers can learn how to make Bokashi from waste. The method used is composting aerobic or anaerobic starters for composting organic material. A decomposer as collection of several good microbes from fungi work to control pathogenic microbes assists the fermentation process. Based on the results of the pre-test and post-test during the training, it can be showed that understanding of the breeders' potential of the environment is increased.


2019 ◽  
Vol 2 (1) ◽  
pp. 59-64
Author(s):  
Vincentius Vincentius ◽  
Evita H. Legowo ◽  
Irvan S. Kartawiria

Natural gas is a source of energy that comes from the earth which is depleting every day, an alternative source of energy is needed and one of the sources comes from biogas. There is an abundance of empty fruit bunch (EFB) that comes from palm oil plantation that can become a substrate for biogas production. A methodology of fermentation based on Verein Deutscher Ingenieure was used to utilize EFB as a substrate to produce biogas using biogas sludge and wastewater sludge as inoculum in wet fermentation process under mesophilic condition. Another optimization was done by adding a different water ratio to the inoculum mixture. In 20 days, an average of 6gr from 150gr of total EFB used in each sample was consumed by the microbes. The best result from 20 days of experiment with both biogas sludge and wastewater sludge as inoculum were the one added with 150gr of water that produced 2910ml and 2185ml of gas respectively. The highest CH 4 produced achieved from biogas sludge and wastewater sludge with an addition of 150gr of water to the inoculum were 27% and 22% CH 4 respectively. This shows that biogas sludge is better in term of volume of gas that is produced and CH percentage.


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