GrafCompounder Tutorial and Literature

Program Description

GrafCompounder is a software, which enables you to create recipes for Rubber, TPE, TP and other compounds from any historic recipe & property database.

GrafCompounder program was developed not only to allow the simple search in such larger data sets, but to simulate formulas as a result according to target values. This can be a property or even ingredient values.

GrafCompounder is based on a Multi Factor Optimization, which allows to use selected data sets of limited size in contrast to AI (Artificial Intelligence) or neuronal network programs, which require a large amount of data.

The mathematics behind GrafCompounder is called "Multi Objective Optimization" (MOO) or "Multi Objective Algorithm" (MOA). The result of a calculation is a solution that represents the best tradeoff between competing objectives. The solution can a be so-called Pareto Optimal Solution, or a solution according the Weighted Sum -, Weighted Metric Method or the e-Constraint Method for example. The algorithm to handle this kind of multi target problems is called Multi-Objective Evolutionary Algorithm (MOEA). GrafCompounder follows such an evolutionary algorithm which operates on a set of candidate solutions. Basically the software calculates a numeric solution using a gradient walking method combining and crossblending all data during the calculation in tiny simultaneous steps in search for an optimal compromise. At the end of the calculation a number is displayed on the screen, which indicates how close the result matches the target values found so far. In case of conflicting targets a perfect solution might not exist, in which case the best compromise is calculated. If accepted by the user, a newly created recipe with its properties is displayed. This calculated mixture is then tested in the laboratory and the properties are to be checked in a confirmation test. Often the process ends here successfully. If it turns out that the specified mixture does not meet expectations, this mixture can at least be used as a starting mixture in a DoE. In this way, more knowledge is gained about the influence of ingredients on the properties of the mixture.

Many laboratory tests can be avoided in the search for a statistically sound solution if GrafCompounder is combined with Statistic Experimental Design (DoE).

The GrafCompounder enables you to analyze your database and identify faulty compound data, because it allows to identify each compound recipe with its ratio the calculated compound is composed off. This program feature is extremly helpful, if your confirmation experiment will result a difference with the calculated compound properties larger than the 95% confidence interval.

With a database, which has a sufficient high amount of compounds, you are able to use the GrafCompounder as a compound simulation tool.

GrafCompounder tutorials:

Videos

Introduction to GrafCompounder Tutorial Video 01, which explains the usage of the GrafCompounder Software from start to first simulation of a Compound.

The recording of the presentation at the GRTE-2018 (see below) you can open with this link: GrafCompounder: Software Application in Rubber Compounding.

The merger of data sets from different files is shown in this newly uploaded video: Merge Data Files

GrafCompounder 3.211 Tutorial:

The Version 3.211 has a couple of new features in addition to the program features of version 2.004, which are explained in detail in this tutorial.

  • Calculation of the Grand Total sum of phr.
  • Density calculation.
  • Cost calculation: cost per volume and cost per mass.
  • Merger Function to bring different worksheets in one data table.
  • Fruequency distribution of either ingredients or physicals in the data base as bar charts.
With the new functions in the GrafCompounder 3.211 more information needed, like the cost and density of the ingredients and a code for each ingredients and property.
The program opens and stores data in its own file format: "____.gc" with "open file" in pull down menue. The export in a table calculation program is possible with copy & paste as usual.

GrafCompounder 2.004 Tutorial:

The Version 2.004 has features, which are explained in detail in its tutorial. The program allows to store the data in its own file format: ____.gc, but the export in a table calculation program is possible as well via copy & paste.
Two new columns are added in the working screen of the program:

  • The first column shows the minimum values of each row, whether it is an ingredient or property,
  • the second column shows the maximum value in each row.
This information prevents the use of calculation criteria, which are not supported by the database.
The figure below shows a screen shot of the Grafcompounder 2.004 with a recipe dataset in the left screen, the "criteria" window with the maximum and minimum columns and the "output" window and a sample recipe calculation according to the performance criteria shown.

Minimum hardware and software requirements

The GrafCompounder software runs on Windows® XP or Windows® Vista with at least 512 MB RAM.

With Windows® 7 / Windows® 8 / Windows® 10 at least 1 GB RAM is needed.

Tutorials

The Tutorial for the latest version Tutorial GrafCompounder 3.211 published June 2018. This document is available for download on this website.

The Tutorial for the version GrafCompounder 2.004 was published September 2014. This document is still available for download on this website for the one who needs it.

Literature / Presentations

H-J Graf, GrafCompounder: Software Application in Rubber Compounding, Presented at 4th GRTE 2018, March 13-15, 2018, Bangkok, Thailand.

H-J Graf, Evaluation of Computer Aided Rubber Compound Development, Presented at IRC 2016, October 24-28, 2016, Kitakyushu, Japan

For the first time a whole design of experiment [DoE] is simulated with the GrafCompounder Software. The results are published at the Tire Tech 2015, 10.-12. February 2015 in Cologne under the title: CARD - Computer Aided Recipe Development in the session: "Smart Tire Factory."
A second publication is printed in RFP 04/2016 under the title:
Simulation of a statistical experimental design with a new solftware tool.
The authors are H-J Graf, H-JG Consulting, Germany; C Sirisinha, P. Pangamol, Mahidol University, Bangkok, Thailand..

An overview about the Advantages and further develpopment of the GrafCompounder software [ENG] is given in this short presentation from the authors.

H.-J. Graf, With more Systematic and Computer Aided Compound Development towards a Competitive Advantage [ENG], Rubber Chem Review, India, to be published 2014

H.-J. Graf, Predicitve Data Analysis and Organization of Data in Rubber Compounding [ENG], Paper presented at DKG Sued/Sued West, April 3.-4. 2014, Wuezburg, Germany

H.-J. Graf, A New Tool for a Systematic Development and Improvement of Compounds [ENG], Paper presented at Rubber Division of ACS, 183 Spring Meeting, Akron, OH, April 24. 2013, USA

H.-J. Graf, Simulation Tool in Tire Compound Development using Compound Database [ENG], Paper presented at Tire Industry Tech 2012, 7-8 March, Bangkok, Thailand

H.-J. Graf, Advantage of Compound Development with the PC-program "GrafCompounder" [ENG], Paper presented at Rubber Compounding Asia 2012, 5-6 March, Bangkok, Thailand

H.-J. Graf, Poster: Validation of "GrafCompounder" with Design of Experiment [DoE] Data and Analysis [ENG], Poster presented at Rubber Technology Expo March 2012, Bangkok, Thailand

H.-J. Graf, Methodical Recipe Development: Increases Technological and Economical Advantages [ENG], Paper presented at IRC 2009, June 29 - July 2, Nueremberg, Germany

H.-J. Graf, Methodical Recipe Development: Increases Technological and Economical Advantages [GER], Conference Proceeding at IRC 2009, June 29 - July 2, Nueremberg, Germany

updated 16 December 2020

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