Analysis of Cutter Blade Wear in Rotary Shear Mills

Technical Report · Sat Oct 01 04:00:00 EDT 2022

DOI:https://doi.org/10.2172/2208841· OSTI ID:2208841

Fenske, George ^[1]; Ajayi, Oyelayo ^[1]; Lin, Lianshan ^[2]; Qu, Jun ^[2]; Lanning, David ^[3]

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1. Argonne National Laboratory (ANL), Argonne, IL (United States)
2. Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
3. Forest Concepts LLC, Federal Way, WA (United States)

Following development of an analytical abrasive wear model to predict wear of components in a rotary shear mill, the team used a finite element analysis (FEA) approach to calculate forces and loads acting on particles responsible for abrasive wear. The analytical model related critical rotary shear process parameters (shear geometry and rotational speed) to critical material attributes of inorganic mineral species in feedstock (density, size, and aspect ratio) and substrate (hardness and elastic modulus) that enabled us to model the wear of shear cutters in a rotary shear milling system developed by Forest Concepts. With proper knowledge of the forces acting between abrasive particles and cutter components built into it, the model can accurately predict wear of the cutters and provides a quality by design (QbD) approach to predict component reliability based on scientific engineering principles in lieu of trial-and-error approaches. During this reporting period, researchers at Oak Ridge National Laboratory applied an FEA package to simulate the local stresses and forces between an abrasive silica particle and two rotary shear cutters as the distance between the cutters decreases. The output of the FEA was used to provide more accurate projections of the loads applied to the particles in the analytical wear model. Comparison of the FEA force calculations are in good agreement with the loads assumed in the analytical predictions.

• Research Organization: Argonne National Laboratory (ANL), Argonne, IL (United States)
• Sponsoring Organization: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Office of Sustainable Transportation. Bioenergy Technologies Office (BETO)
• DOE Contract Number: AC02-06CH11357; AC05-00OR22725
• OSTI ID: 2208841
• Report Number(s): ANL/AMD--22/1; 179215
• Country of Publication: United States
• Language: English

Related Subjects

36 MATERIALS SCIENCE
42 ENGINEERING
Analytical Model
Shear Mill
Wear