A systemic and comprehensive approach to problem solving

An example of MARE’s systemic and comprehensive approach to problem solving in paper making.

author: Mare SpA

Industry Insight by:

Mare Dynamics

As a matter of fact, no other term rather than “organism” can better describe a paper mill process. Actually, if we may lead you into such a sequence of comparative examples, pulping may be seen as the “mouth” of such an organism where the raw ‘food’ is chewed with water, the stock preparation can then be imagined as the “stomach” where bolus is pre-digested and made ready for the final use, then the machine is the “organ” where such a precious nourishment is turned into tissues, similarly to what a living body would do.

Water plays an outstanding role in all this, being the key transport lifeblood used to deliver the treated “food” where it has to be used. As any body fluid, water will have to be depurated after use, so the paper mill “organism” will be equipped with kidneys of a variety of shapes and natures (DAF units, polydisk, etc.).
In all this, the managers and operators of the mill are, all together as one, the head, arms and legs of this imaginary body.

As an organism will be checked, for example, by blood work or temperature check, so the paper mill circuit will be and, as such an organism will be subject to infections and to the undesired ingestion of harmful substances to be eliminated or, generally, dealt with, a paper mill circuit could suffer about these events as well.

One of our customers asked us to implement exactly this kind of global approach on one of its high speed tissue machine, where the mill suffered from a generally low performance as highlighted by an internal benchmarking process. The initial work done aimed at identifying the root cause of such a reduced performance through the analysis of the cause of breaks and general undesired production losses. It was agreed, after this initial survey, that the basic explanation for the lower comparative production results stayed with felt performance.

Picture 1: Dispersion graph where an analysis of the eventual correlation between ATP and turbidity is done.
Picture 2: Culture beds appearance after process sampling before the trial.

 

Steeped in history, developing the future

Our technical experts started from this point and highlighted that the primary cause, although not the only one, of the poor felt performance came from an unsatisfactory quality of the clarified water used for clothing conditioning. The next step was to understand the reason behind such a poor clarification and come to an operational proposal. In picture 1 you can see a correlation between the turbidity of the superclarified water and its ATP content (adenosine triphosphate is a direct measurement of the abundance of micro-organisms into a fluid). It came out strikingly clear there was a correlation between turbidity and the microbiological quality of the water. The analysis via microbio slides confirmed a rather uncontrolled situation, as can be seen from picture 2. Another relevant pieces of information which we could get from picture 1 was that turbidity and ATP were seemingly uncorrelated over a certain value of turbidity, meaning that the process was also subject to changes in colloidal coagulation. Another “brick” was added to MARE proposal by analysis of a felt sample.

Picture 3 shows the analysis of a felt removed from the machine (first column). The data showed clearly both inorganic andorganic contamination. Based on this, we proposed our customer a multi-component approach based on the following points:

  • Substitution of the incumbent program for microbiological control with one based on different active components and dosing strategy;
  • Substitution of the current antiscalant on fresh water with a chemical providing a higher level of protection on the utilities;
  • Substitution of the incumbent program for the control of anionic trash with one more performing in the specific process conditions met in the mill;
  • Substitution of the incumbent continous cleaning chemical program with a batch-on-the-fly one, paper side;
  • Implementation of a continous dispersing treatment on the internal side of the felt.
Picture 3: Analysis of felt samples collected in sequence; it is clearly appearing that the felt samples turned out cleaner while the trial progressed.

Picture 3 shows how the contamination of the felt changed with time, during the trial.

Picture 4: In this picture you can see a relative comparison between basic perfomance data of two felts from the same supplier and with the same product code, one used before the trial with MARE chemical programs and one after. The +3,2% on global machine performance comes from the reduction of the number of breaks and average shorter times to regain production after a break.Picture 4: In this picture you can see a relative comparison between basic perfomance data of two felts from the same supplier and with the same product code, one used before the trial with MARE chemical programs and one after. The +3,2% on global machine performance comes from the reduction of the number of breaks and average shorter times to regain production after a break.
Picture 4: In this picture you can see a relative comparison between basic perfomance data of two felts from the same supplier and with the same product code, one used before the trial with MARE chemical programs and one after. The +3,2% on global machine performance comes from the reduction of the number of breaks and average shorter times to regain production after a break.

Picture 4 shows, on the contrary, the percentage variation between a sample of a felt used before the traiul and one used while the trial was going on. The comparison was made between two felts from the same supplier, same product code and used for a similar amount of days on the machine. We hope that with this article we have been able to bring you inside the way that MARE is approaching complex problems.
Please contact your local MARE sales representative for more details.

 

 

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