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15. May 2020

The new issue of RFP Rubber Fibres Plasics will be out on Monday!

In this issue, we will look at the development of the automotive industry and electromobility with the Center of Automotive Management (CAM), including an update on the effects of the Corona pandemic on the automotive markets. The German rubber industry association Wirtschaftsverband der deutschen Kautschukindustrie (wdk) provides an insight into the current situation of the rubber industry and the impact of the current Corona crisis. Nova institute shares an insight in the global bio-based polymer market 2019, and we have a glimpse at the Natural Rubber Trends and Statistics for April 2020 provided by the Association of Natural Rubber Producing Countries (ANRPC).

We shed a light on the work of the Elastomer Competence Center (ECC) that combines research and application technology in a cooperation with the University of Twente and the Polymer Science Park in the Netherlands. You will find an interview with Chigusa Yamada and Eshwaran Subramani B. from Asahi Kasei Europe, with whom we talked about the Rubber Lab at the R+D Center in Dormagen, Germany during Tire Technology Expo 2020. Also included are publications on simultaneous DMA/DEA, sulfur vulcanization, filler dispersion and application of artificial intelligence in the compounding process.

In this issue:

  • Methods for simultaneous dynamic-mechanical and dielectric analysis – Part 2: Temperature dependence of the dielectric behavior of elastomer composites under static deformation
    S. Aloui, W. Wurpts, H. Deckmann (Netzsch Gerätebau GmbH)
    Electrically conductive fillers can be used as “markers” for condition monitoring of elastomer components, provided the exact correlation between the mechanical and dielectric properties of the material is known. Part 2 of this series of three articles on simultaneous dynamic-mechanical and dielectric analysis deals with the influence of temperature on the dielectric behavior of elastomer composites under static deformation.
  • A novel method for the optimization of sulfur cure systems for rubber using software
    A. Ansarifar, K. Noulta, G. W. Weaver, K. G. U. Wijayantha (Loughborough University)
    Kahagala Gamage (University of Bath)
    Using a JavaScript programme, cure test results for the sulfur vulcanization of a natural rubber were processed to develop a highly efficient method for selecting the most efficient sulfur cure system. This method removes the need to mix and test the raw rubber with chemical curatives repeatedly to find a compound with ideal cure properties for industrial applications.
  • Analysis of methods for measuring dispersion of fillers in rubber compounds
    K. Knipp (Akron Rubber Development Laboratory)
    This paper will discuss the use of three techniques used to measure dispersion of fillers in rubber compounds: Phillips Dispersion test, Dispergrader test, and nSpec 3D topography scan. A simple SBR compound was selected and five different fillers were evaluated. This paper will also briefly discuss the advantages and disadvantages of the three different dispersion measurement techniques.
  • Application of artificial intelligence in the compounding process
    M. Backenstos (DatenBerg GmbH)
    This article will show concrete application possibilities using the example of a compounding process for elastomers. In this way, employees can be supported in the identification of root-causes and quality defects on the basis of data; in addition, time-consuming manual tests can be focused on critical batches. With the help of the standard model for data analysis CRISP-DM, the mixing process is viewed from the data glasses and analyzed in a structured way. 

Further information about the new issue at https://www.gupta-verlag.com/magazines/rfp-rubber-fibres-plastics-international/02-2020.

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