GrafCompounder Tutorial and Literature

Program Description

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

A multiple linear iteration method [MLI] is used by the GrafCompounder to calculate a compound recipe.

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

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

The latest Version 2.004 has features, which are explained in datail 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 prevent a calculation, which is 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 in the "output" window 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.


The Tutorial for the latest version GrafCompounder 2.004 [ENG]: This document is available for download on this website. Published September 2014.

Literature / Presentations

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 27 July 2017