Browse Prior Art Database

In-situ Optimization of Spray Processes

IP.com Disclosure Number: IPCOM000190298D
Original Publication Date: 2009-Dec-10
Included in the Prior Art Database: 2009-Dec-10
Document File: 2 page(s) / 128K

Publishing Venue

Siemens

Related People

Juergen Carstens: CONTACT

Abstract

Spray processes applied in an industrial production environment tend to degrade after they have been in use for some time. In order to bring the process back to the desired behavior, the degradation has to be measured and depending on the gathered data counter measurements have to be applied. A commonly used quantity to characterize the spray process is the droplet size distribution, and, up to now, the implementation of devices measuring the droplet size distribution is rather not far advanced. Since the time period for maintenance runs shall be minimal to save time and costs, an in-situ detection of the degradation as well as counter measurements that are applicable without the need to bring the running process to a stop are desired.

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In-situ Optimization of Spray Processes

Idea: Dr. Oliver Lenhart, DE-Erlangen

Spray processes applied in an industrial production environment tend to degrade after they have been in use for some time. In order to bring the process back to the desired behavior, the degradation has to be measured and depending on the gathered data counter measurements have to be applied. A commonly used quantity to characterize the spray process is the droplet size distribution, and, up to now, the implementation of devices measuring the droplet size distribution is rather not far advanced. Since the time period for maintenance runs shall be minimal to save time and costs, an in-situ detection of the degradation as well as counter measurements that are applicable without the need to bring the running process to a stop are desired.

As novel technical solution it is now proposed to realize an in-situ feedback loop between the detection of the degradation and the realignment of the spray process by attaching a droplet size measurement device, e.g. a Laser-Doppler-Anemometer, to a spray nozzle. During the spray process, this device continuously measures the droplet size distribution of the outflowing material and transfers the results to a computer. The workflow of the proposed solution is depicted in Figure 1.

The computer calculates continuously or in certain time intervals the Rosin-Rammler-Distribution, which is a statistical distribution function used to describe the particle size distribution of various types of spray material. The distribution is dependent, among others, on the chemical composition of the spray material, its viscosity, the outlet size and geometry of the spray nozzle, the outlet pressure and temperature.

Preliminary to the implementation of the spray process in an industrial manufacturing environ...