ABRADE is an Excel-based model that calculates the recession of the leading edge of a knife blade due to abrasion by hard inorganic particles entrained in biomass feedstock.
The software-based model was created by UChicago Argonne, LLC, Operator of Argonne National Laboratory (“Argonne”). Argonne, a U.S. Department of Energy Office of Science Laboratory, is operated under contract no. DE-AC02-06CH11357. The research effort that led to development of the software at Argonne was supported by the Bioenergy Technologies Office of the Office of Energy Efficiency and Renewable Energy of the U.S. Department of Energy.
It uses a quality-by-design (QbD) approach to model the effects of feedstock properties, knife blade properties, and process parameters to predict knife blade recession. It can be used to predict the effect of critical material attributes and operating conditions on knife blade wear. We welcome any constructive input to help improve the users experience and make the model more useful to stakeholders. We welcome feedback on applications to real-life operations — comparisons of worn blades to predicted lifetimes.
Redistribution and use of ABRADE, with or without modification, are permitted provided that the following conditions are met:
- Redistributions of ABRADE must retain the copyright notice, this list of conditions, and the following disclaimer.
- Redistributions in ABRADE must reproduce the copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
- Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS “AS IS” AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANT ABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
- An Abrasive Wear Model of Knife Milling to Predict the Impact of Material Properties and Milling Parameters on Knife Edge Recession, George Fenske and Oyelayo Ajayi, Argonne National Laboratory, ANL/AMD-21/3, August 2021, https://doi.org/10.2172/1818971
- An Abrasion Wear Model of Rotary Shear Comminution of Biomass Feedstock, George Fenske and Oyelayo Ajayi, Argonne National Laboratory, ANL/AMD-21/2, August 2021, https://doi.org/10.2172/1819740
- Application of an Erosion Wear Model to Predict Wear of Hammer Milling Components, George Fenske and Oyelayo Ajayi, Argonne National Laboratory, ANL/AMD-20/2, September 2020, https://doi.org/10.2172/1763729
- An Analytical Model of Erosive Wear of BioMass Comminution Components, George Fenske and Oyelayo Ajayi, Argonne National Laboratory, ANL/AMD-20/1, October 2020, https://doi.org/10.2172/1734866
- Identification of Critical Process Parameters for Knife Milling and Alternative Communication Strategies, George Fenske and Oyelayo Ajayi, Argonne National Laboratory, ANL/AMD-20/3, December 2020, https://doi.org/10.2172/1767136